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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2024.1400414</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Unilateral vs. bilateral DLPFC rTMS: comparative effects on depression, visual-spatial memory, inhibitory control and cognitive flexibility in major depressive disorder</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asgharian Asl</surname>
<given-names>Fatemeh</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2684341"/>
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<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Abbaszade</surname>
<given-names>Sajjad</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Derakhshani</surname>
<given-names>Horeyeh</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Vaghef</surname>
<given-names>Ladan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Asgharian Asl</surname>
<given-names>Amirreza</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Cognitive Neuroscience, University of Tabriz</institution>, <addr-line>Tabriz</addr-line>, <country>Iran</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Cognitive Science, Faculty of Education &amp; Psychology, University of Tehran</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Research Center for Convergent Technologies, University of Tehran</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Faculty of Psychology and Education, Kharazmi University</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Psychology, Faculty of Education &amp; Psychology, Azarbaijan Shahid Madani University</institution>, <addr-line>Tabriz</addr-line>, <country>Iran</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz</institution>, <addr-line>Tabriz</addr-line>, <country>Iran</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Murat Ilhan Atagun, &#xc7;anakkale Onsekiz Mart University, T&#xfc;rkiye</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Gabriel Villafuerte, National Autonomous University of Mexico, Mexico</p>
<p>Po-Han Chou, China Medical University (Taiwan), Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Fatemeh Asgharian Asl, <email xlink:href="mailto:asgharian.fatemeh1@gmail.com">asgharian.fatemeh1@gmail.com</email>;  Sajjad Abbaszade, <email xlink:href="mailto:sajad.abaszade@gmail.com">sajad.abaszade@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1400414</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>07</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Asgharian Asl, Abbaszade, Derakhshani, Vaghef and Asgharian Asl</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Asgharian Asl, Abbaszade, Derakhshani, Vaghef and Asgharian Asl</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Exciting left DLPFC activity with high frequency and inhibiting right DLPFC with low frequency repetitive transcranial magnetic stimulation (rTMS) has shown antidepressant effects in major depressive disorder (MDD) and executive functions. However, few studies have directly compared unilateral and bilateral protocols.</p>
</sec>
<sec>
<title>Methods</title>
<p>Forty-seven individuals with treatment-resistant MDD underwent 10 sessions of rTMS over left DLPFC (20 Hz), bilateral DLPFC (left 20 Hz, right 1 Hz), or sham stimulation. Outcomes were depression (Beck Depression Inventory-II), visual-spatial memory (Corsi Block Test), response inhibition (Go/No-Go task), and cognitive flexibility (Wisconsin Card Sorting Test) assessed before and after treatment.</p>
</sec>
<sec>
<title>Results</title>
<p>Both unilateral and bilateral rTMS significantly reduced depression levels versus sham controls based on BDI-II scores. While bilateral stimulation did not improve Corsi Test performance, unilateral protocol enhanced visual-spatial memory. On the Go/No-Go task, accuracy was higher in both active stimulation groups compared to sham, with no response time differences. Neither unilateral nor bilateral rTMS had significant effects on cognitive flexibility per the WCST.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Despite comparable antidepressant effects, unilateral stimulation had some cognitive advantages over bilateral rTMS, potentially due to greater left dorsolateral prefrontal cortex excitation. Further research on parameter optimization is warranted.</p>
</sec>
</abstract>
<kwd-group>
<kwd>major depressive disorder</kwd>
<kwd>transcranial magnetic stimulation</kwd>
<kwd>dorsolateral prefrontal cortex</kwd>
<kwd>cognition</kwd>
<kwd>depression</kwd>
<kwd>inhibition</kwd>
<kwd>memory</kwd>
<kwd>cognitive flexibility</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="14"/>
<equation-count count="0"/>
<ref-count count="54"/>
<page-count count="11"/>
<word-count count="5297"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Neuroimaging</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Major depressive disorder (MDD) is characterized by persistent low mood, loss of interest, and cognitive and physical symptoms (<xref ref-type="bibr" rid="B1">1</xref>). Converging evidence has revealed abnormalities in several brain regions linked to emotional and cognitive processing in MDD, including the dorsolateral prefrontal cortex (DLPFC) (<xref ref-type="bibr" rid="B2">2</xref>). Specifically, hypo-activity in the left DLPFC is consistently found in MDD and correlates with symptom severity (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). As the DLPFC is critical for executive functions, left DLPFC hypo-activation likely contributes to the cognitive deficits frequently observed in MDD (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Emerging evidence also indicates hyperactivity in the right DLPFC in MDD, which has been associated with negative mood and cognitive impairments (<xref ref-type="bibr" rid="B6">6</xref>) (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). This suggests bi-hemispheric alterations in DLPFC function in MDD, with hypo-frontality in the left DLPFC and hyper-frontality in the right DLPFC. Neuromodulatory techniques like repetitive transcranial magnetic stimulation (rTMS) allow direct modulation of cortical activity in targeted regions. High-frequency (HF) rTMS applied to the left DLPFC has shown antidepressant efficacy, potentially by correcting left hypo-activity (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Low-frequency rTMS over the right DLPFC has been proposed to potentially reduce hyperactivity in this region and alleviate associated negative cognitive and affective symptoms in major depressive disorder, such as impaired executive functioning, rumination, and persistent negative mood (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Bilateral protocols incorporating left HF-rTMS and right low-frequency rTMS may have additive benefits in MDD by normalizing the bi-hemispheric imbalance (<xref ref-type="bibr" rid="B13">13</xref>). However, most studies have focused on unilateral left stimulation, with limited direct comparisons of bilateral and unilateral rTMS, especially on cognition. Elucidating differences between unilateral and bilateral neuromodulation can provide insights into optimizing protocols (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Here, we investigated and compared the effects of unilateral HF-rTMS over left DLPFC versus bilateral rTMS (left high-frequency DLPFC and right low-frequency DLPFC stimulation) on depression severity, visual-spatial memory, response inhibition, and cognitive flexibility in MDD. We hypothesized bilateral rTMS would enhance cognition along with similar antidepressant efficacy as unilateral protocol.</p>
<p>The primary hypothesis was that bilateral repetitive transcranial magnetic stimulation (rTMS), combining high-frequency (HF) stimulation over the left dorsolateral prefrontal cortex (DLPFC) and low-frequency (LF) stimulation over the right DLPFC, would enhance cognitive functioning in major depressive disorder (MDD) patients. Specifically, it was hypothesized that bilateral rTMS would improve visual-spatial memory performance, response inhibition accuracy, and cognitive flexibility. Additionally, it was postulated that bilateral rTMS would demonstrate comparable antidepressant efficacy to unilateral HF-rTMS over the left DLPFC alone.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Participants</title>
<p>Sixty right-handed outpatients (43 female and 17 male, age range 18-53 years) meeting DSM-5 criteria for non-psychotic major depressive disorder participated in this study. All participants underwent a structured clinical interview by psychiatrists. Patients had failed to respond to at least two antidepressant medications given in adequate doses. Exclusion criteria included neurological or neurodevelopmental disorders, history of seizures, serious medical conditions, substance use disorders, or previous treatment with TMS. Participants provided written informed consent before enrollment. This study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of Tabriz University of Medical Sciences.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Locating the dorsolateral prefrontal cortex</title>
<p>The dorsolateral prefrontal cortex (DLPFC) was localized using the 5-cm rule, one of the most commonly employed methods in rTMS research and clinical practice (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Specifically, the DLPFC site was determined by moving the TMS coil 5 cm anterior from the motor hotspot for the abductor pollicis brevis muscle of the contralateral hand. This pragmatic method has demonstrated reasonable accuracy in targeting the DLPFC compared to neuronavigational approaches (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B50">50</xref>). The recruitment and flow of participants through the trial is illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Consolidated Standards of Reporting Trials (CONSORT) flow chart for trial recruitment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1400414-g001.tif"/>
</fig>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>rTMS protocol</title>
<p>Subjects were randomly allocated to three groups (n=20 per group) to receive active unilateral rTMS, active bilateral rTMS, or sham rTMS.</p>
<p>Repetitive TMS was delivered using a figure-eight coil (70 mm diameter) connected to a Magstim Super Rapid magnetic stimulator [Magstim Ltd, UK]. The resting motor threshold (RMT) was determined as the minimum TMS intensity over the left motor cortex needed to evoke a motor-evoked potential &#x2265;50 &#x3bc;V in the right abductor pollicis brevis muscle on at least 5 out of 10 trials (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>In the unilateral protocol, 2,200 pulses were applied at 20 Hz frequency and 85% RMT intensity over the left dorsolateral prefrontal cortex (DLPFC). In the bilateral protocol, 1,400 pulses were delivered to the left DLPFC at 20 Hz frequency and 85% RMT along with 800 pulses to the right DLPFC at 1 Hz frequency and 110% RMT intensity. For sham stimulation, the coil was angled 90&#xb0; off the scalp to direct the magnetic field away from the brain, mimicking the auditory and sensory experience of active rTMS without actual cortical stimulation. The TMS course consisted of 10 sessions conducted on weekdays over 2 weeks. Clinical evaluations and cognitive testing were performed at baseline before the first TMS session and again after the final session by examiners blinded to the stimulation protocol.</p>
<p>While most clinical trials investigating rTMS for depression employ 20-30 sessions, our study utilized a 10-session protocol based on evidence suggesting that a shorter course of high-frequency rTMS over the left DLPFC can be effective in alleviating depressive symptoms (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Furthermore, cognitive effects of rTMS have been observed after as few as 10 sessions in some studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The decision to use a 10-session protocol was also influenced by practical considerations, such as patient burden and resource limitations, common in clinical settings.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Beck depression inventory-II</title>
<p>The levels of depression were assessed before and after rTMS intervention using the Beck Depression Inventory-II (BDI-II). The scoring, categorized from 1 to 6, denoted the range from minimal to maximal depression. Based on the score classifications, scores between 0-10 were considered normal (1), 11-16 indicated mild depression (2), 17-20 suggested the need for consultation with a psychiatrist (3), 21-30 signified moderate depression (4), 31-40 indicated severe depression (5), and scores exceeding 40 represented extremely severe depression (6).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Go/No-Go task</title>
<p>The Go/No-Go Task (GNGT) was administered using the Psychology Experiment Building Language (PEBL) software. The task consisted of two parts, each with an equal number of &#x201c;go&#x201d; and &#x201c;no-go&#x201d; trials (1:1 ratio), with 100 trials per part (50 &#x201c;go&#x201d; trials and 50 &#x201c;no-go&#x201d; trials presented in a randomized order). Visual stimuli (letters P and R) were displayed on the screen for 500 milliseconds, with an inter-stimulus interval of 1000 milliseconds. In the first part, participants had to press the spacebar as quickly and accurately as possible when they saw the letter P appear on screen, but not press anything when the letter R appeared. In the second part, they had to press the spacebar for R but not for P. Participants were instructed to respond as quickly and accurately as possible by pressing the spacebar for &#x201c;go&#x201d; trials and withholding their response for &#x201c;no-go&#x201d; trials. The main measures were accuracy, errors made, and how fast they responded (response time). This tested their ability to respond or inhibit a response depending on the stimulus.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Wisconsin card sorting test</title>
<p>The Wisconsin Card Sorting Test (WCST) computerized version from the PEBL battery was used to evaluate cognitive flexibility (<xref ref-type="bibr" rid="B19">19</xref>). For this task, four stimulus cards are presented varying on three dimensions (color, shape, number of items). The participant is then given a stack of response cards and asked to match each one to one of the stimulus cards. After each match, the participant receives feedback indicating whether they matched correctly based on the current sorting rule. However, the sorting rule unpredictably changes after 10 correct matches, requiring the participant to use the feedback to identify the new sorting principle. The test ends after six categories are completed or all 128 cards are used. The main outcome measures are categories completed, perseverative errors (persisting with the old rule), and failure to maintain the set (errors after learning a new rule). Better cognitive flexibility is reflected by more categories completed and fewer perseverative and failure to maintain set errors.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Corsi block-tapping test</title>
<p>Visual-spatial memory was assessed using the Corsi Block-Tapping Test from the PEBL battery. On this task, participants must reproduce sequences of blocks that light up on the screen in varying spans. The outcome was the memory span, reflecting temporary visual-spatial storage capacity. Performance on this task involves actively manipulating visuospatial representations, tapping the hypothesized &#x2018;visual-spatial sketchpad&#x2019; component of working memory proposed by Baddeley and Hitch (<xref ref-type="bibr" rid="B20">20</xref>). Thus, this test provides a measure of the short-term maintenance of visual and spatial information.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>The information was processed through both descriptive and inferential statistics. To summarize the study variables, descriptive statistics employed frequency, mean, and standard deviation. In the case of inferential statistics, given the study&#x2019;s design, analysis of covariance (ANCOVA and MANCOVA) was used to compare the outcome measures between the active and sham groups. Additionally, paired t-tests were carried out to evaluate changes within each group from baseline to post-treatment.</p>
<p>All data were input into SPSS software version 25 for analysis, and the significance level was set at p &#x2264; 0.05 for hypothesis testing. In cases where statistically significant differences were observed between groups, Bonferroni <italic>post-hoc</italic> tests were conducted. To assess the normality of data distribution, the Kolmogorov&#x2013;Smirnov test was utilized. Due to unequal variances, a weighted least-squares method was applied for the BDI-II and GNGT scores.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>The original participant sample included 60 individuals who underwent pre-testing. However, 13 subjects dropped out for reasons including post-test non-completion or unwillingness to continue. The final analyzed sample comprised 47 in three groups including unilateral stimulation (n=15; mean age 36.12 &#xb1; 9.45 years), bilateral stimulation (n=15; mean age 35.58 &#xb1; 10.22 years), and sham stimulation control (n=17; mean age 34.50 &#xb1; 9.50 years).</p>
<p>The groups did not significantly differ in age (p &gt;.05). Baseline ANOVA tests found no significant between-group differences in depression severity (BDI-II), visual-spatial memory (CBT), response inhibition (GNGT), or cognitive flexibility (WCST) performance. The comparative effects of unilateral and bilateral DLPFC rTMS on depression severity, visual-spatial memory, response inhibition, and cognitive flexibility in Major Depressive Disorder are presented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.
</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Comparative Effects of Unilateral and Bilateral DLPFC rTMS on Depression Severity, Visual-Spatial Memory, Response Inhibition, and Cognitive Flexibility in Major Depressive Disorder&#x201d;.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1400414-g002.tif"/>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>Beck depression inventory</title>
<p>The mean BDI-II scores at pre- and post-intervention are displayed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. ANCOVA showed a significant effect of group (F<sub>(2,23)</sub> =10.241, P&lt;0.05, &#x3b7;2 = .406) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). <italic>Post-hoc</italic> tests indicated significantly decreased BDI-II scores after unilateral and bilateral rTMS compared to sham controls (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Furthermore, paired t-tests revealed significant pre-post differences in BDI-II scores for the unilateral group and the bilateral group but not the sham group (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>BDI-II scores before and after treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">34.8</td>
<td valign="top" align="center">6.3</td>
<td valign="top" align="center">14.2</td>
<td valign="top" align="center">7.1</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">33.9</td>
<td valign="top" align="center">7.2</td>
<td valign="top" align="center">20.3</td>
<td valign="top" align="center">12.8</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">33.7</td>
<td valign="top" align="center">13.2</td>
<td valign="top" align="center">31.9</td>
<td valign="top" align="center">11.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, Standard Deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>ANCOVA Results for rTMS effect on depression severity (BDI-II Scores).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Dependent measure</th>
<th valign="top" align="center"/>
<th valign="top" align="center">SS</th>
<th valign="top" align="center">Df</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">Sig.</th>
<th valign="top" align="center">&#x3b7;2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">BDI-II score</td>
<td valign="top" align="center">Group</td>
<td valign="top" align="center">1.100</td>
<td valign="top" align="center">2</td>
<td valign="middle" rowspan="2" align="center">10.241</td>
<td valign="middle" rowspan="2" align="center">.000</td>
<td valign="middle" rowspan="2" align="center">.406</td>
</tr>
<tr>
<td valign="top" align="center">Error</td>
<td valign="top" align="center">1.612</td>
<td valign="top" align="center">30</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Bonferroni <italic>post-hoc</italic> comparisons of post-treatment depression severity (BDI-II Scores) between groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Dependent measure</th>
<th valign="top" align="center">Comparison</th>
<th valign="top" align="center">Mean Difference</th>
<th valign="top" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">BDI-II score</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="top" align="center">.107</td>
<td valign="top" align="center">.823</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="top" align="center">.419</td>
<td valign="top" align="center">.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="top" align="center">.312</td>
<td valign="top" align="center">.008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The mean difference represents the difference in adjusted post-treatment BDI-II scores between groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Results of paired-sample t-test of rTMS effect on BDI-II scores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
<th valign="top" rowspan="2" align="center">t</th>
<th valign="top" rowspan="2" align="center">Sig.</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">.798</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">0.866</td>
<td valign="top" align="left">9.869</td>
<td valign="top" align="left">.000</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">4.33</td>
<td valign="top" align="center">.888</td>
<td valign="top" align="center">2.42</td>
<td valign="top" align="center">1.621</td>
<td valign="top" align="left">3.838</td>
<td valign="top" align="left">.003</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Corsi block-tapping test</title>
<p>The mean scores on the Corsi Block-Tapping Test (CBT) are displayed in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>. ANCOVA results revealed no significant differences between the groups on the CBT (P&gt;0.05) (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). However, paired t-tests indicated that while bilateral stimulation did not lead to a significant effect (p&gt;0.05), unilateral stimulation resulted in significant improvement (p&lt;0.05) (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Corsi block-tapping test scores before and after treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">4.000</td>
<td valign="top" align="center">1.224</td>
<td valign="top" align="center">4.250</td>
<td valign="top" align="center">1.453</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">4.125</td>
<td valign="top" align="center">1.110</td>
<td valign="top" align="center">4.583</td>
<td valign="top" align="center">1.221</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">4.000</td>
<td valign="top" align="center">1.022</td>
<td valign="top" align="center">3.875</td>
<td valign="top" align="center">1.025</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>ANCOVA Results for rTMS effect on corsi block-tapping test scores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Dependent measure</th>
<th valign="top" align="center"/>
<th valign="top" align="center">SS</th>
<th valign="top" align="center">Df</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">Sig.</th>
<th valign="top" align="center">&#x3b7;2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Corsi score</td>
<td valign="top" align="center">Group</td>
<td valign="top" align="center">.556</td>
<td valign="top" align="center">2</td>
<td valign="top" rowspan="2" align="center">1.228</td>
<td valign="top" rowspan="2" align="center">.321</td>
<td valign="top" rowspan="2" align="center">.141</td>
</tr>
<tr>
<td valign="top" align="center">Error</td>
<td valign="top" align="center">3.458</td>
<td valign="top" align="center">15</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Paired t-test results for rTMS effect on corsi block-tapping test scores before and after treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
<th valign="top" rowspan="2" align="center">T</th>
<th valign="top" rowspan="2" align="center">Sig.</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">4.000</td>
<td valign="top" align="center">1.2247</td>
<td valign="top" align="center">4.250</td>
<td valign="top" align="center">1.4538</td>
<td valign="top" align="left">-2.303</td>
<td valign="top" align="left">.042</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">4.125</td>
<td valign="top" align="center">1.1104</td>
<td valign="top" align="center">4.583</td>
<td valign="top" align="center">1.2216</td>
<td valign="top" align="left">-1.318</td>
<td valign="top" align="left">.214</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Go/No-Go task</title>
<p>The GNGT mean scores are presented in <xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>. The MANCOVA results indicated no significant differences between the groups on response time measures in the response inhibition task (p&gt;0.05) (<xref ref-type="table" rid="T9">
<bold>Table&#xa0;9</bold>
</xref>). However, significant differences were observed between the groups for number of correct responses (F<sub>(2,28)</sub> =7.741, P&lt;0.05, &#x3b7;2 = .356). Follow-up Bonferroni tests were conducted to determine which specific groups differed (<xref ref-type="table" rid="T10">
<bold>Table&#xa0;10</bold>
</xref>).</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Go/No-Go task performance scores before and after treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variable</th>
<th valign="top" rowspan="2" align="center">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="center">Total correct</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">305</td>
<td valign="top" align="center">11.537</td>
<td valign="top" align="center">312.83</td>
<td valign="top" align="center">4.489</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">306.67</td>
<td valign="top" align="center">6.857</td>
<td valign="top" align="center">312.75</td>
<td valign="top" align="center">5.119</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">303.33</td>
<td valign="top" align="center">8.659</td>
<td valign="top" align="center">303.42</td>
<td valign="top" align="center">8.533</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Response time- Go-round1-P</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">623.986</td>
<td valign="bottom" align="center">120.829</td>
<td valign="top" align="center">592.573</td>
<td valign="top" align="center">73.015</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">582.651</td>
<td valign="bottom" align="center">62.031</td>
<td valign="top" align="center">606.502</td>
<td valign="top" align="center">79.619</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">560.003</td>
<td valign="bottom" align="center">66.95</td>
<td valign="top" align="center">544.1328</td>
<td valign="top" align="center">81.25</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Response time- NoGo-round1-R</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">409.0705</td>
<td valign="bottom" align="center">147.943</td>
<td valign="top" align="center">399.0978</td>
<td valign="top" align="center">129.02</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">478.8708</td>
<td valign="top" align="center">65.389</td>
<td valign="top" align="center">472.0623</td>
<td valign="top" align="center">183.412</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">362.5862</td>
<td valign="top" align="center">172.881</td>
<td valign="top" align="center">401.0477</td>
<td valign="top" align="center">132.692</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Response time- NoGo-round2-P</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">221.7821</td>
<td valign="top" align="center">236.231</td>
<td valign="top" align="center">331.0973</td>
<td valign="top" align="center">273.68</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">527.4303</td>
<td valign="top" align="center">454.023</td>
<td valign="top" align="center">399.5333</td>
<td valign="top" align="center">440.017</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">289.6944</td>
<td valign="top" align="center">259.555</td>
<td valign="top" align="center">291.345</td>
<td valign="top" align="center">269.964</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Response time- Go-round2-R</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">645.3955</td>
<td valign="top" align="center">79.445</td>
<td valign="top" align="center">621.0592</td>
<td valign="top" align="center">58.058</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">653.5988</td>
<td valign="top" align="center">52.464</td>
<td valign="top" align="center">648.9295</td>
<td valign="top" align="center">61.958</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">629.654</td>
<td valign="top" align="center">68.168</td>
<td valign="top" align="center">626.5393</td>
<td valign="top" align="center">81.881</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T9" position="float">
<label>Table&#xa0;9</label>
<caption>
<p>MANCOVA results for rTMS Effect on Go/No-Go task performance.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variable</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Df</th>
<th valign="middle" align="center">F</th>
<th valign="middle" align="center">Sig.</th>
<th valign="bottom" align="center">&#x3b7;2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Total correct</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">7.741</td>
<td valign="middle" rowspan="2" align="center">.002</td>
<td valign="middle" rowspan="2" align="center">.356</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">28</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Response time- Go-round1-P</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">3.184</td>
<td valign="middle" rowspan="2" align="center">.056</td>
<td valign="middle" rowspan="2" align="center">.180</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">29</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Response time- NoGo-round1-R</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.380</td>
<td valign="middle" rowspan="2" align="center">.6870</td>
<td valign="middle" rowspan="2" align="center">.026</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">29</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Response time- NoGo-round2-P</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.466</td>
<td valign="middle" rowspan="2" align="center">.632</td>
<td valign="middle" rowspan="2" align="center">.031</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">29</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Response time- Go-round2-R</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.532</td>
<td valign="middle" rowspan="2" align="center">.5930</td>
<td valign="middle" rowspan="2" align="center">.035</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">29</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T10" position="float">
<label>Table&#xa0;10</label>
<caption>
<p>Bonferroni <italic>post-hoc</italic> comparisons of Go/No-Go task performance between groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variable</th>
<th valign="middle" align="center">Comparison</th>
<th valign="middle" align="center">Mean Difference</th>
<th valign="middle" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">Total correct</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="middle" align="center">.002</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="middle" align="center">.011</td>
<td valign="middle" align="center">.003</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="middle" align="center">.009</td>
<td valign="middle" align="center">.013</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Response time- Go-round1-P</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="middle" align="center">.037</td>
<td valign="middle" align="center">.148</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="middle" align="center">.002</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="middle" align="center">.039</td>
<td valign="middle" align="center">.110</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Response time- NoGo-round1-R</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="middle" align="center">.119</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="middle" align="center">.115</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="middle" align="center">.223</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Response time- NoGo-round2-P</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="middle" align="center">.584</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="middle" align="center">.527</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="middle" align="center">.057</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Response time- Go-round2-R</td>
<td valign="top" align="center">Bilateral vs. Unilateral</td>
<td valign="middle" align="center">.009</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Unilateral</td>
<td valign="middle" align="center">.008</td>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="center">Sham vs. Bilateral</td>
<td valign="middle" align="center">.017</td>
<td valign="middle" align="center">.942</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The findings showed no significant differences in Go/No-Go response times between any of the groups. However, the number of correct responses significantly differed between the control group and the unilateral group, as well as between the control group and the bilateral group. Adjusted mean values for the number of correct responses were significantly higher in both the unilateral and bilateral stimulation groups compared to controls. This suggests that rTMS over the DLPFC enhanced response inhibition accuracy regardless of whether a unilateral or bilateral protocol was utilized. No effects on response speed were found.</p>
<p>As shown in the paired t-test table, the p-value for the number of correct responses is less than 0.05 for both the unilateral and bilateral protocol groups. This indicates that these protocols led to a statistically significant difference in post-test scores compared to pre-test scores on the measure of number of correct responses in these groups (<xref ref-type="table" rid="T11">
<bold>Table&#xa0;11</bold>
</xref>).</p>
<table-wrap id="T11" position="float">
<label>Table&#xa0;11</label>
<caption>
<p>Paired t-test results for rTMS Effect on Go/No-Go task performance.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Variable</th>
<th valign="top" align="center">Group</th>
<th valign="top" align="center">T</th>
<th valign="top" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="center">Total correct</td>
<td valign="top" align="center">Unilateral</td>
<td valign="middle" align="center">-2.603</td>
<td valign="middle" align="center">.025</td>
</tr>
<tr>
<td valign="top" align="center">Bilateral</td>
<td valign="middle" align="center">-2.723</td>
<td valign="middle" align="center">.020</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Response time- Go-round1-P</td>
<td valign="top" align="center">Unilateral</td>
<td valign="middle" align="center">1.534</td>
<td valign="middle" align="center">.153</td>
</tr>
<tr>
<td valign="top" align="center">Bilateral</td>
<td valign="middle" align="center">-1.471</td>
<td valign="middle" align="center">.169</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Response time- NoGo-round1-R</td>
<td valign="top" align="center">Unilateral</td>
<td valign="middle" align="center">.465</td>
<td valign="middle" align="center">.651</td>
</tr>
<tr>
<td valign="top" align="center">Bilateral</td>
<td valign="middle" align="center">.147</td>
<td valign="middle" align="center">.886</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Response time- NoGo-round2-P</td>
<td valign="top" align="center">Unilateral</td>
<td valign="middle" align="center">-.974</td>
<td valign="middle" align="center">.351</td>
</tr>
<tr>
<td valign="top" align="center">Bilateral</td>
<td valign="middle" align="center">.652</td>
<td valign="middle" align="center">.528</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Response time- Go-round2-R</td>
<td valign="top" align="center">Unilateral</td>
<td valign="middle" align="center">1.258</td>
<td valign="middle" align="center">.234</td>
</tr>
<tr>
<td valign="top" align="center">Bilateral</td>
<td valign="middle" align="center">.334</td>
<td valign="middle" align="center">.745</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Wisconsin card sorting test</title>
<p>WCST performance is shown in <xref ref-type="table" rid="T12">
<bold>Table&#xa0;12</bold>
</xref>. The MANCOVA test results showed that there is no statistically significant difference between the two groups in any of the cognitive flexibility subcomponents (p &gt; 0.05) (<xref ref-type="table" rid="T13">
<bold>Table&#xa0;13</bold>
</xref>). Additionally, paired t-tests showed the p-value obtained for all subscales was greater than 0.05 (<xref ref-type="table" rid="T14">
<bold>Table&#xa0;14</bold>
</xref>). This indicates that neither of the two stimulation protocols led to significant differences in post-test scores compared to pre-test on any of these measures in either group.</p>
<table-wrap id="T12" position="float">
<label>Table&#xa0;12</label>
<caption>
<p>Wisconsin card sorting test (WCST) scores before and after treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variable</th>
<th valign="top" rowspan="2" align="center">Group</th>
<th valign="top" colspan="2" align="center">Pre-test</th>
<th valign="top" colspan="2" align="center">Post-test</th>
</tr>
<tr>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">Categories Completed/Experienced</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">.6768</td>
<td valign="top" align="center">.101</td>
<td valign="top" align="center">.7596</td>
<td valign="top" align="center">.055</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">.5850</td>
<td valign="top" align="center">.293</td>
<td valign="top" align="center">.7336</td>
<td valign="top" align="center">.113</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">.7167</td>
<td valign="top" align="center">.097</td>
<td valign="top" align="center">.7592</td>
<td valign="top" align="center">.063</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Correct Responses</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">40.33</td>
<td valign="top" align="center">10.360</td>
<td valign="top" align="center">45.65</td>
<td valign="top" align="center">8.026</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">39.17</td>
<td valign="top" align="center">13.065</td>
<td valign="top" align="center">43.83</td>
<td valign="top" align="center">11.013</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">41.50</td>
<td valign="top" align="center">8.296</td>
<td valign="top" align="center">42.25</td>
<td valign="top" align="center">5.643</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Total Errors</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">23.67</td>
<td valign="top" align="center">10.360</td>
<td valign="top" align="center">18.33</td>
<td valign="top" align="center">8.026</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">24.75</td>
<td valign="top" align="center">13.065</td>
<td valign="top" align="center">21.25</td>
<td valign="top" align="center">11.013</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">22.50</td>
<td valign="top" align="center">8.296</td>
<td valign="top" align="center">21.50</td>
<td valign="top" align="center">5.643</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Perseverative Errors</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">10.17</td>
<td valign="top" align="center">5.024</td>
<td valign="top" align="center">9.75</td>
<td valign="top" align="center">3.545</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">8.67</td>
<td valign="top" align="center">5.466</td>
<td valign="top" align="center">7.08</td>
<td valign="top" align="center">3.397</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">14.50</td>
<td valign="top" align="center">4.812</td>
<td valign="top" align="center">12.58</td>
<td valign="top" align="center">6.259</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Non-Perseverative Errors</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13.443</td>
<td valign="top" align="center">8.58</td>
<td valign="top" align="center">5.017</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">16.50</td>
<td valign="top" align="center">16.528</td>
<td valign="top" align="center">13.33</td>
<td valign="top" align="center">11.484</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">4.890</td>
<td valign="top" align="center">8.17</td>
<td valign="top" align="center">5.024</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Conceptual Level Responses</td>
<td valign="top" align="left">Unilateral</td>
<td valign="top" align="center">32.50</td>
<td valign="top" align="center">13.748</td>
<td valign="top" align="center">39.58</td>
<td valign="top" align="center">10.983</td>
</tr>
<tr>
<td valign="top" align="left">Bilateral</td>
<td valign="top" align="center">29.83</td>
<td valign="top" align="center">16.629</td>
<td valign="top" align="center">36.17</td>
<td valign="top" align="center">16.163</td>
</tr>
<tr>
<td valign="top" align="left">Sham</td>
<td valign="top" align="center">32.83</td>
<td valign="top" align="center">11.456</td>
<td valign="top" align="center">38.17</td>
<td valign="top" align="center">13.341</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T13" position="float">
<label>Table&#xa0;13</label>
<caption>
<p>Results of MANCOVA analysis of rTMS effect on WCST scores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variable</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">df</th>
<th valign="middle" align="center">F</th>
<th valign="middle" align="center">Sig.</th>
<th valign="middle" align="center">&#x3b7;2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Categories Completed/Experienced</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.159</td>
<td valign="middle" rowspan="2" align="center">.854</td>
<td valign="middle" rowspan="2" align="center">.012</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Correct Responses</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.400</td>
<td valign="middle" rowspan="2" align="center">.674</td>
<td valign="middle" rowspan="2" align="center">.029</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Total Errors</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.505</td>
<td valign="middle" rowspan="2" align="center">.609</td>
<td valign="middle" rowspan="2" align="center">.036</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Perseverative Errors</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">1.730</td>
<td valign="middle" rowspan="2" align="center">.796</td>
<td valign="middle" rowspan="2" align="center">.114</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Non-Perseverative Errors</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.366</td>
<td valign="middle" rowspan="2" align="center">.697</td>
<td valign="middle" rowspan="2" align="center">.026</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Conceptual Level Responses</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">.160</td>
<td valign="middle" rowspan="2" align="center">.984</td>
<td valign="middle" rowspan="2" align="center">.001</td>
</tr>
<tr>
<td valign="middle" align="center">Error</td>
<td valign="middle" align="center">27</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T14" position="float">
<label>Table&#xa0;14</label>
<caption>
<p>Results of paired-sample t-test of rTMS effect on WCST scores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Varible</th>
<th valign="bottom" align="center">Group</th>
<th valign="bottom" align="center">t</th>
<th valign="middle" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Categories Completed/Experienced</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="bottom" align="center">-2.064</td>
<td valign="middle" align="center">.063</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="bottom" align="center">-1.847</td>
<td valign="middle" align="center">.092</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Correct Responses</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="bottom" align="center">-1.967</td>
<td valign="middle" align="center">.075</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="bottom" align="center">-1.375</td>
<td valign="middle" align="center">.197</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Total Errors</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="bottom" align="center">1.967</td>
<td valign="middle" align="center">.075</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="bottom" align="center">.960</td>
<td valign="middle" align="center">.358</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Errors Perseverative</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="bottom" align="center">.422</td>
<td valign="middle" align="center">.681</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="bottom" align="center">1.003</td>
<td valign="middle" align="center">.337</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Errors Non-Perseverative</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="bottom" align="center">1.635</td>
<td valign="middle" align="center">.130</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="middle" align="center">.878</td>
<td valign="middle" align="center">.399</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Conceptual Level Responses</td>
<td valign="middle" align="left">Unilateral</td>
<td valign="middle" align="center">-1.820</td>
<td valign="middle" align="center">.096</td>
</tr>
<tr>
<td valign="middle" align="left">Bilateral</td>
<td valign="middle" align="center">-1.247</td>
<td valign="middle" align="center">.238</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In the present study, we compared the effects of left unilateral versus bilateral rTMS over the DLPFC on depression severity, response inhibition, and cognitive flexibility in MDD patients.</p>
<p>As the DLPFC is critical for executive functions, left DLPFC hypoactivation likely contributes to the cognitive deficits frequently observed in this disorder (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Neuromodulatory techniques like repetitive transcranial magnetic stimulation (rTMS) allow direct modulation of cortical excitability and hold promise in ameliorating MDD symptoms (<xref ref-type="bibr" rid="B22">22</xref>). This method uses a magnetic field to stimulate nerve cells in targeted brain areas. High-frequency (HF) rTMS enhances cortical excitability and metabolic activity in the stimulated regions (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Given the role of left DLPFC hypofunction in MDD, HF-rTMS applied to this region has been extensively studied for its antidepressant effects. A large body of evidence now demonstrates that HF-rTMS over the left DLPFC has significant antidepressant efficacy in MDD, likely by correcting the baseline dysfunction of this area (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Alongside mood improvements, HF-rTMS could also potentially enhance cognition by modulating left DLPFC activity (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>While most studies have focused on left DLPFC stimulation, emerging insights into the bilateral nature of prefrontal cortex changes in MDD have prompted interest in bilateral modulation (<xref ref-type="bibr" rid="B26">26</xref>). A few studies applying bilateral rTMS over left and right DLPFC have shown positive mood effects in treatment-resistant MDD (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>However, very few studies have directly compared the antidepressant and cognitive impact of bilateral vs unilateral HF-rTMS protocols. Elucidating the differences can help determine the optimal stimulation approach to address the mood and cognitive deficits in MDD. In the present study, we compared the effects of left unilateral versus bilateral rTMS over the DLPFC on depression severity, response inhibition, and cognitive flexibility in MDD patients. We hypothesized bilateral stimulation would improve executive functioning along with similar antidepressant efficacy as unilateral protocol.</p>
<p>Our study found that both unilateral and bilateral rTMS led to significant reductions in depression levels based on BDI-II scores, with no significant differences between the protocols. This indicates comparable antidepressant effects for uni- and bilateral stimulation, consistent with some prior studies (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). The mood improvements likely arise from modulating left DLPFC activity, a key region implicated in MDD pathophysiology (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>For visual-spatial memory, while bilateral rTMS did not increase Corsi span, unilateral stimulation elicited significant gains from pre- to post-treatment. Although there are other findings regarding the effect of stimulating the right DLPFC on visuospatial functions, this likely arises from the role of the left DLPFC in manipulating visuospatial representations (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). The unilateral protocol directly targeted this region compared to the bilateral approach. Furthermore, additional posterior brain areas like the parietal cortex contribute to visual-spatial memory (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>For response inhibition, accuracy on the Go/No-Go task improved following both unilateral and bilateral rTMS. The DLPFC is involved in inhibitory control (<xref ref-type="bibr" rid="B34">34</xref>), so the increased left DLPFC activation from unilateral stimulation likely improved this executive function. The bilateral protocol applied high-frequency stimulation to the left DLPFC and low-frequency stimulation to the right DLPFC. This approach is based on the hypothesis that such a protocol could potentially normalize hemispheric imbalances in prefrontal cortex activity that may contribute to cognitive dysfunction in depression (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>In their framework, Schutter &amp; van Honk propose that high-frequency rTMS over the left DLPFC could enhance activity in this hypoactive region, while low-frequency rTMS over the right DLPFC could reduce hyperactivity. They suggest this bi-hemispheric modulation might help restore prefrontal balance and improve symptoms.</p>
<p>Several studies have suggested that while high-frequency rTMS over the left DLPFC can enhance cognitive functioning, low-frequency (1 Hz) rTMS over the right DLPFC may impair certain cognitive domains (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B36">36</xref>). The rationale behind our bilateral protocol was to potentially normalize prefrontal asymmetry by upregulating the hypoactive left DLPFC and downregulating the hyperactive right DLPFC in MDD. However, inhibiting right DLPFC activity with low-frequency rTMS could have counteracted some of the cognitive benefits provided by high-frequency left DLPFC stimulation.</p>
<p>Indeed, while both unilateral and bilateral rTMS improved response inhibition accuracy on the Go/No-Go task compared to sham, only the unilateral protocol enhanced visuospatial memory performance on the Corsi Block-Tapping Test. This suggests that the addition of right DLPFC inhibition may have negated visuospatial memory improvements in the bilateral group. The lack of significant effects on cognitive flexibility, as measured by the Wisconsin Card Sorting Test, could also be related to the inhibitory right DLPFC stimulation component.</p>
<p>Previous work has implicated the right DLPFC in various cognitive processes, including working memory, attention, and cognitive control (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Therefore, suppressing activity in this region with low-frequency rTMS may disrupt these functions. Future studies are needed to clarify the specific cognitive consequences of inhibiting the right DLPFC and delineate the optimal parameters for bilateral rTMS protocols in depression. Approaches that modulate the right DLPFC in a more focal or patterned manner may be preferential.</p>
<p>However, neither protocol significantly impacted cognitive flexibility based on the Wisconsin Card Sorting Test performance. While some studies show rTMS-induced flexibility (<xref ref-type="bibr" rid="B38">38</xref>), others report no effects (<xref ref-type="bibr" rid="B39">39</xref>), likely because multiple regions beyond just DLPFC contribute to cognitive flexibility (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations</title>
<p>The study had a relatively small sample size and also lacked comprehensive demographic and clinical data, which are caveats to the interpretation and generalizability of our findings. A longer treatment duration with follow-up assessments could better elucidate the therapeutic effects. Given the need to consider individual differences in brain function when hypothesizing the effects of the two protocols, and the inability to simply explain depression as a static phenomenon based solely on the function of select brain regions or their causal relationships, we initially sought to assess and analyze neurophysiological components like brain waves and vital signs before and after the interventions. However, due to the unreliability of the data obtained through these methods because of technical issues with the equipment, we were forced to exclude them.</p>
<p>Our study did not directly measure changes in prefrontal cortex activity or hemispheric balance. Therefore, while our bilateral protocol was designed based on this theoretical framework, we cannot conclude that it normalized our participants&#x2019; hemispheric imbalances. Future studies combining rTMS with neuroimaging techniques could provide direct evidence of whether bilateral stimulation alters prefrontal cortex activity patterns in this way.</p>
<p>One of the key limitations of this study is the exclusion of participants who did not complete the secondary assessments from the analysis, despite being actual clinical patients. This per-protocol analysis approach could potentially introduce attrition bias and limit the generalizability of the findings. The intention-to-treat (ITT) principle, which analyzes all randomized participants in their assigned treatment groups regardless of adherence or completion, is generally recommended for clinical trials (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>By not adhering to the ITT principle, our study may have overestimated the treatment effects or underestimated the potential for adverse events or dropout rates associated with the rTMS protocols (<xref ref-type="bibr" rid="B43">43</xref>). Future studies should employ ITT analysis, using appropriate methods for handling missing data, such as multiple imputation or mixed-effects models, to provide a more robust and unbiased assessment of the efficacy and tolerability of unilateral versus bilateral rTMS approaches (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Another limitation of this study is the lack of comprehensive reporting and analysis of demographic and clinical variables beyond age. Factors such as sex, education level, employment status, marital status, baseline depression severity, duration of current depressive episode, number of previous episodes, treatment resistance (defined as failure of adequate trials of multiple antidepressant medications), concomitant psychotropic medications, and medical comorbidities could all potentially impact the response to rTMS interventions (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Ideally, these variables should have been reported, and their potential influence on the primary and secondary outcomes should have been statistically assessed to ensure that the treatment groups were well-balanced at baseline. If significant differences existed, these variables could have been included as covariates in the analyses. The lack of comprehensive demographic and clinical characterization limits the interpretability and generalizability of our findings.</p>
<p>Future studies should carefully record and report these relevant variables and conduct appropriate statistical analyses to account for potential confounding factors. This would not only enhance the internal validity of the study but also facilitate the identification of potential moderators or predictors of treatment response, which could inform the personalization of rTMS protocols (<xref ref-type="bibr" rid="B15">15</xref>)Another limitation of this study is the use of the BDI-II as the primary depression outcome measure, rather than clinician-administered scales like the HDRS or MADRS, which are considered gold standards by regulatory agencies.</p>
<p>Side effects such as headaches, dizziness, and spasms in the facial muscles, albeit very mild and transient, existed in both the dropout participants and the other subjects, but did not have a particular impact on the individuals&#x2019; motivation to continue or leave the study, especially since the possibility of these transient side effects had been explained to them before the start of the interventions. The subjects who withdrew from the trial, did not respond to telephone follow-ups and no information is available about them, or those who were available did not state these side effects as the reason for discontinuing the interventions.</p>
<p>It is acknowledged that the observed differences between unilateral and bilateral stimulation may have been influenced by low statistical power. The relatively small sample size (n=15 per active treatment group) could have resulted in insufficient power to detect subtle differences between protocols, particularly for cognitive measures. While significant effects were observed in some domains, such as visual-spatial memory improvements in the unilateral group, it is possible that other real differences remained undetected due to limited statistical power.</p>
</sec>
<sec id="s6">
<label>6</label>
<title>Future Directions</title>
<p>Future studies could further explore optimal rTMS protocols and parameters, such as combining rTMS with cognitive training to potentially enhance cognitive benefits (<xref ref-type="bibr" rid="B18">18</xref>). Additionally, an integrative, multidimensional approach could provide insights into depression mechanisms based on objective measures across units of analysis, including cognitive/behavioral functions, brain activity, genetics, and neurochemistry [RDoC framework] (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>The unilateral protocol&#x2019;s partial superiority over bilateral stimulation on some outcomes may relate to greater left DLPFC excitation and less right DLPFC inhibition from fewer inhibitory pulses. The dose-response relationship between left DLPFC pulses and effects could be examined further. Elucidating the contribution of right DLPFC inhibition in bilateral protocols represents another area for future research. Overall, comparisons of unilateral versus bilateral rTMS can help optimize protocols for managing depression&#x2019;s neuropsychiatric burden.</p>
<p>While the BDI-II is a valid and reliable measure of depression severity (<xref ref-type="bibr" rid="B53">53</xref>), future studies may benefit from including both self-report and clinician-administered scales to provide a more comprehensive assessment of depressive symptoms (<xref ref-type="bibr" rid="B54">54</xref>) and to align more closely with regulatory recommendations. This approach would allow for a more robust evaluation of treatment effects, as seen in recent rTMS studies (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Another potential limitation of this study lies in the partial complexity of our statistical approach. While we believe our use of ANCOVA and MANCOVA was justified given the nature of our data and research questions, we acknowledge that simpler statistical methods, such as repeated measures ANOVA or analysis of change scores, might have provided more easily interpretable results. The choice between these methods involves trade-offs between statistical power, control of confounds, and ease of interpretation (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>It is suggested that future studies employ larger sample sizes to enhance statistical power and more definitively compare the efficacy of unilateral versus bilateral rTMS protocols. Such an approach would allow for more robust detection of potential differences in both clinical and cognitive outcomes.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, by request and without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Dr. Mohammad Hossein Somi Director of University/Regional Research Ethics Committee,Tabriz University of Medical Sciences and Dr. Mohammad Samiei Secretary of University/Regional Research Ethics Committee,Tabriz University of Medical Sciences (Approval ID: IR.TBZMED.REC.1398.1248). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>FA: Conceptualization, Investigation, Software, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SA: Conceptualization, Investigation, Software, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. HD: Data curation, Formal analysis, Visualization, Software, Writing &#x2013; original draft. LV: Conceptualization, Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. AA: Data curation, Formal analysis, Visualization, Software, Writing &#x2013; original draft.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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