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<journal-id journal-id-type="publisher-id">Front. Hum. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Human Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Hum. Neurosci.</abbrev-journal-title>
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<issn pub-type="epub">1662-5161</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fnhum.2025.1624668</article-id><article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading"><subject>Original Research</subject></subj-group>
</article-categories>
<title-group>
<article-title>Brain functional activity of Parkinson&#x2019;s disease patients under a virtual reality eye movement task: a functional near-infrared spectroscopy study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Liu</surname> <given-names>Yanzhi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Shi</surname> <given-names>Ziqian</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Wang</surname> <given-names>Lifeng</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author"><name><surname>Yang</surname> <given-names>Chuyan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Wang</surname> <given-names>Xinyan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Lin</surname> <given-names>Yongzhong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref><xref ref-type="author-notes" rid="fn0004"><sup>&#x2021;</sup></xref>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Qi</surname> <given-names>Liping</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref><xref ref-type="author-notes" rid="fn0004"><sup>&#x2021;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Neurology, The Second Hospital of Dalian Medical University</institution>, <city>Dalian</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>School of Computer Science and Technology, Dalian University of Technology</institution>, <city>Dalian</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Emergency Medicine, The First Affiliated Hospital of Dalian Medical University</institution>, <city>Dalian</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>School of Control Science and Engineering, Dalian University of Technology</institution>, <city>Dalian</city>, <country country="cn">China</country></aff>
<author-notes><corresp id="c001"><label>&#x002A;</label>Correspondence: Yongzhong Lin, <email xlink:href="mailto:lyz12085528@163.com">lyz12085528@163.com</email>; Liping Qi, <email xlink:href="mailto:lipingqi@dlut.edu.cn">lipingqi@dlut.edu.cn</email></corresp><fn fn-type="equal" id="fn0003"><label>&#x2020;</label><p>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="equal" id="fn0004"><label>&#x2021;</label><p>These authors have contributed equally to this work</p></fn></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-02">
<day>02</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1624668</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Liu, Shi, Wang, Yang, Wang, Lin and Qi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Shi, Wang, Yang, Wang, Lin and Qi</copyright-holder>
<license><ali:license_ref start_date="2025-12-02">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>This study aimed to investigate the eye movement behavior characteristics and associated brain functional activity changes in Parkinson&#x2019;s disease (PD) patients during a complex visual task, using virtual reality (VR) eye movement tasks combined with functional near-infrared spectroscopy (fNIRS) technology.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A total of 27 PD patients and 29 healthy controls were included in the study. Participants performed a &#x201C;Whack-a-Mole&#x201D; eye movement task on a VR platform. Fixation time and task error rates were recorded, and fNIRS was used to measure changes in brain oxygenation. The differences in oxygenated hemoglobin concentration in brain regions between PD patients and healthy controls were assessed during task performance.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The PD group exhibited a significantly higher task error rate compared to the control group (<italic>p</italic>&#x202F;=&#x202F;0.02), and a significantly longer mean fixation time (<italic>p</italic>&#x202F;=&#x202F;0.001). fNIRS results revealed that the PD group had considerably higher oxygenated hemoglobin concentrations in the bilateral primary visual cortex (V1), visual association cortex, primary somatosensory cortex (S1), and auditory cortex compared to the control group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>PD patients exhibit significant eye movement behavioral impairments during the execution of complex visual tasks, accompanied by compensatory brain functional activation in relevant brain regions. These findings provide important insights for the early diagnosis and therapeutic intervention of PD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Parkinson&#x2019;s disease</kwd>
<kwd>PD</kwd>
<kwd>virtual reality</kwd>
<kwd>VR</kwd>
<kwd>eye movement</kwd>
<kwd>functional near-infrared spectroscopy</kwd>
<kwd>fNIRS</kwd>
</kwd-group><funding-group><award-group id="gs1"><funding-source id="sp1"><institution-wrap><institution>Second Hospital Dalian Medical University</institution></institution-wrap></funding-source><award-id rid="sp1">2022JCXKZD03</award-id></award-group><funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. &#x201C;1&#x202F;+&#x202F;X&#x201D; program for Clinical Competency enhancement-Interdisciplinary Innovation Project, The Second Hospital Dalian Medical University under (No.: 2022JCXKZD03).</funding-statement></funding-group><counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="7"/>
<word-count count="4793"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Brain Health and Clinical Neuroscience</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Parkinson&#x2019;s disease (PD) is characterized not only by motor symptoms but also by abnormalities in eye movement functions, such as delayed saccades and tracking impairments, which have been shown to be closely associated with the pathological progression of the disease (<xref ref-type="bibr" rid="ref24">Xu et al., 2024</xref>; <xref ref-type="bibr" rid="ref10">Lage et al., 2024</xref>; <xref ref-type="bibr" rid="ref4">Beheshti et al., 2024</xref>). Therefore, the identification and monitoring of eye movement abnormalities are not only beneficial for the early diagnosis of PD but also provide potential biomarkers for assessing disease progression (<xref ref-type="bibr" rid="ref5">Fooken et al., 2022</xref>). Although previous studies have revealed eye movement abnormalities in PD patients, the underlying neural mechanisms, particularly the functional activity changes in brain regions responsible for eye movement control, remain unclear (<xref ref-type="bibr" rid="ref2">Antoniades and Spering, 2023</xref>). As eye movement is a complex motor control function that reflects the coordination of multiple neural circuits in the brain, investigating the eye movement characteristics of PD patients can contribute to a deeper understanding of the neural mechanisms behind their motor dysfunction.</p>
<p>Traditional eye movement detection methods, such as video-based eye trackers and electrooculography (EOG), despite being widely used in research, have several limitations. These techniques generally require participants to be in a static experimental environment, making it difficult to simulate dynamic, real-world visual scenarios, which limits the understanding of eye movement control in complex situations. To overcome these limitations, virtual reality (VR) technology has emerged as an innovative solution. VR can create highly immersive dynamic visual environments, allowing researchers to measure eye movement responses of PD patients in settings that are closer to real-world scenarios, thus revealing eye movement characteristics with greater ecological validity (<xref ref-type="bibr" rid="ref22">Rodr&#x00ED;guez-Mansilla et al., 2023</xref>; <xref ref-type="bibr" rid="ref14">Madison et al., 2025</xref>). Additionally, VR technology can be combined with high-precision eye tracking to capture real-time ocular movements, providing richer data for investigating the relationship between eye movement behavior and perceptual-motor function (<xref ref-type="bibr" rid="ref25">Xu et al., 2024</xref>). However, relying solely on eye movement data still cannot fully elucidate the functional changes in the associated neural networks in the brain.</p>
<p>To further explore the brain functional activity of PD patients during the execution of eye movement tasks, this study integrates functional near-infrared spectroscopy (fNIRS) technology. fNIRS can monitor real-time neural activity in specific brain regions by detecting changes in the concentration of oxygenated and deoxygenated hemoglobin (<xref ref-type="bibr" rid="ref18">Pinti et al., 2020</xref>). Compared to other neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), fNIRS offers higher temporal resolution and is less sensitive to motion artifacts, making it particularly suitable for investigating brain function in PD patients during dynamic tasks (<xref ref-type="bibr" rid="ref20">Quaresima and Ferrari, 2019</xref>; <xref ref-type="bibr" rid="ref12">Liampas et al., 2024</xref>). Especially in complex virtual environments, fNIRS can effectively capture changes in brain functional activity, thereby revealing neural activity associated with eye movement (<xref ref-type="bibr" rid="ref1">Acu&#x00F1;a et al., 2024</xref>).</p>
<p>Building on these technological advantages, this study combined VR and fNIRS to investigate the eye movement characteristics of PD patients and the underlying brain functional changes, providing new insights for the early diagnosis and personalized treatment of PD.</p>
</sec>
<sec id="sec6">
<label>2</label>
<title>Data and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>General information</title>
<p>This study included 27 PD patients (PD group) who were diagnosed at the Department of Neurology, The Second Affiliated Hospital of Dalian Medical University, between February 2023 and February 2024, as well as 29 age- and gender-matched healthy individuals as the control group. The diagnosis of PD was based on the clinical diagnostic criteria for PD established by the <italic>Movement Disorder Society</italic> (MDS) in 2015 (<xref ref-type="bibr" rid="ref11">Leng et al., 2022</xref>), and the disease stages were classified according to the Hoehn-Yahr staging scale, ranging from stage I to stage III. Inclusion criteria for the PD group were as follows: (1) PD patients aged between 40 and 80&#x202F;years; (2) No severe visual impairments (e.g., inability to clearly distinguish visual cues or inability to reach normal vision levels even with corrective lenses); (3) No history of other severe neurological or psychiatric disorders (e.g., vestibular system disorders, epilepsy, encephalitis, dementia, schizophrenia, or severe depression); (4) No use of medications within the past 3&#x202F;months that could potentially interfere with the study results, such as antipsychotics or anticonvulsants. Inclusion criteria for the control group were as follows: participants should have no history of neurological or psychiatric disorders and normal vision, or corrected vision reaching normal levels. Exclusion criteria for both groups included: (1) Presence of severe cardiovascular diseases, respiratory diseases, or other serious systemic conditions that could affect participation in the experiment; (2) Pregnant or breastfeeding women; (3) Known allergic reactions or intolerance to the equipment or procedures used in the experiment; (4) Patients who had previously participated in similar studies, potentially causing data bias; (5) Patients unable to comply with the experimental requirements.</p>
<p>There were no marked differences between the two groups in basic demographic characteristics such as gender and age (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05; <xref ref-type="table" rid="tab1">Table 1</xref>). All participants provided written informed consent prior to the experiment, and the study was approved by the Ethics Committee of The Second Affiliated Hospital of Dalian Medical University, ensuring that the experimental procedures adhered to the ethical standards outlined in the Declaration of Helsinki.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Eye movement task subject information (&#x002A; represents significant difference, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Baseline characteristics</th>
<th align="center" valign="top">PD group <italic>n</italic>&#x202F;=&#x202F;27 (Mean&#x202F;&#x00B1;&#x202F;standard deviation)</th>
<th align="center" valign="top">Control group <italic>n</italic>&#x202F;=&#x202F;29 (Mean&#x202F;&#x00B1;&#x202F;standard deviation)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years old)</td>
<td align="center" valign="top">67.88&#x202F;&#x00B1;&#x202F;8.39</td>
<td align="center" valign="top">65.11&#x202F;&#x00B1;&#x202F;6.67</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Gender (Male/Female)</td>
<td align="center" valign="top">10/17</td>
<td align="center" valign="top">17/12</td>
<td align="center" valign="top">0.11</td>
</tr>
<tr>
<td align="left" valign="top">Educational level (year)</td>
<td align="center" valign="top">9.79&#x202F;&#x00B1;&#x202F;3.05</td>
<td align="center" valign="top">10.46&#x202F;&#x00B1;&#x202F;3.17</td>
<td align="center" valign="top">0.45</td>
</tr>
<tr>
<td align="left" valign="top">MMSE</td>
<td align="center" valign="top">24.42&#x202F;&#x00B1;&#x202F;3.31</td>
<td align="center" valign="top">28.20&#x202F;&#x00B1;&#x202F;1.69</td>
<td align="center" valign="top">&#x003C;0.01&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">MoCA</td>
<td align="center" valign="top">20.09&#x202F;&#x00B1;&#x202F;5.14</td>
<td align="center" valign="top">24.62&#x202F;&#x00B1;&#x202F;3.09</td>
<td align="center" valign="top">&#x003C;0.01&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Hoehn Yahr grading</td>
<td align="center" valign="top">2.15&#x202F;&#x00B1;&#x202F;0.94</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">UPDRS-III</td>
<td align="center" valign="top">24.94&#x202F;&#x00B1;&#x202F;18.57</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Hoehn and Yahr, PD Hoehn-Yahr Staging Scale; UPDRS-III, Unified PD Rating Scale (UPDRS) Part III.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Eye movement task: VR platform</title>
<p>The eye movement task in this experiment was conducted using VR equipment, with the task designed as a visual tracking task. Participants were required to fixate on and maintain visual tracking of a moving target within the virtual environment. The target moved randomly at varying speeds and directions to increase the complexity of the task. Specifically, the task was based on a &#x201C;Whack-a-Mole&#x201D; game on the VR platform. When a mole appeared on the screen, participants were instructed to fixate on it, and the mole would automatically disappear once the participant&#x2019;s gaze was directed at it. Prior to the formal test, all participants underwent a 3-min familiarization practice to ensure they were comfortable with the task process and operations. The practice results were not included in the formal data analysis. The formal test consisted of 15 &#x201C;Whack-a-Mole&#x201D; game modules, each lasting 10.5&#x202F;s, with a 10-s rest between modules. In each game module, the frequency of mole appearances was dynamically adjusted based on the participant&#x2019;s performance. If a participant responded quickly and accurately in the initial modules, the mole appearance frequency was increased to make the task more challenging. Conversely, if the participant had slower response times or lower accuracy, the frequency of mole appearances was decreased accordingly. In each module, the mole appearance frequency ranged from 1 to 2 times per second, with the appearance interval fluctuating between 0.5 and 1&#x202F;s. Additionally, as the game progressed, the speed and randomness of the moles&#x2019; movements gradually increased to further enhance task difficulty and maintain challenge. During the test, participants were required to quickly identify and fixate on the moles to make them disappear. The VR system integrated a high-precision eye tracker that recorded the participants&#x2019; eye movement trajectories, fixation point changes, and reaction times in real-time. This system offered high spatial and temporal resolution, ensuring the accuracy and reliability of the eye movement data. All experimental data were used to analyze the eye movement characteristics of PD patients and the differences compared to the healthy control group.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Brain functional imaging: near-infrared spectroscopy technology</title>
<p>This study utilized the NirScan fNIRS brain function imaging device, manufactured by Danyang Huichuang Medical Equipment Co., Ltd., to collect near-infrared spectroscopy signals from the frontal, parietal, and occipital regions of the brain. The device consists of 26 optical fibers, with 14 serving as the light emission fibers and 12 as the light reception fibers. The linear distance between the emission and reception fibers is maintained at 3&#x202F;cm, forming a total of 28 channels. The experiment used dual-wavelength (760&#x202F;nm and 850&#x202F;nm) near-infrared light for signal acquisition, with a sampling frequency of 10&#x202F;Hz. Brain activity was recorded based on the estimation of near-infrared light absorption at both wavelengths for each channel and was converted into changes in the concentrations of oxygenated hemoglobin (HbO<sub>2</sub>) and deoxygenated hemoglobin (HbR) using the modified Beer&#x2013;Lambert law. During the placement of the optical probe, the experiment continuously monitored and displayed the signal strength of each channel in real-time through the acquisition software to ensure data quality. The placement of the probes was based on the international &#x201C;10&#x2013;20&#x201D; system. The most anterior probe was positioned around the FP1 and FP2 regions, the most lateral probes were placed in the PO7 and PO8 areas, the far left probe was near T3, and the far right probe was near T4. The primary measurement regions included the fronto-polar areas (Frontopolar Area, FPA) in both hemispheres, the dorsolateral prefrontal cortex (Dorsolateral Prefrontal Cortex, DLPFC), the ventrolateral prefrontal cortex (Ventrolateral Prefrontal Cortex, VLPFC), the frontal eye fields (Frontal Eye Fields, FEF), the pre-motor and supplementary motor cortex (Pre-Motor and Supplementary Motor Cortex, PM&#x0026;SMA), the primary somatosensory cortex (Somatosensory Cortex, S1), and the primary visual cortex (Primary Visual Cortex, V1). With this setup, this study was able to accurately measure changes in brain activity in specific regions during the execution of the VR eye movement task by PD patients (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Channel layout of fNIRS equipment for eye movement experiment (FPA, DLPFC, VLPFC, FEF, PM&#x0026;SMA, S1, and V1).</p>
</caption>
<graphic xlink:href="fnhum-19-1624668-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Illustration of brain regions with colored spheres representing different areas: FPA, V1, DLPFC, VLPFC, FEF, PM&#x0026;SMA, and S1. Each color corresponds to a specific region as shown in the legend below the brain diagrams.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Data analysis</title>
<p>Eye movement behavioral data analysis was conducted. In this study, the &#x201C;Whack-a-Mole&#x201D; error rate and the average fixation time were selected as the primary indicators to assess participants&#x2019; eye movement abilities. The &#x201C;Whack-a-Mole&#x201D; error rate is defined as the percentage of moles that did not disappear after the participant fixated on them, relative to the total number of moles. This metric reflects the participant&#x2019;s visual recognition and eye movement control abilities. The average fixation time is defined as the average time the participant fixates on the mole from its appearance to its disappearance, reflecting the participant&#x2019;s eye movement speed and fixation stability. All behavioral data were statistically analyzed using <italic>SPSS version 26.0</italic>. First, the normality of the data was tested using the Shapiro&#x2013;Wilk test. For data conforming to a normal distribution, two-sample t-tests were conducted to compare the differences in eye movement metrics between the PD group and the healthy control group. A significance level of <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was set.</p>
<p>Brain function data analysis was conducted. The average blood oxygen changes in the task and resting states from the 15 task blocks were calculated by subtracting the baseline values. The baseline was defined as the average blood oxygen concentration during a 5-s period before the formal test, which served as the baseline level. The average blood oxygen changes during the task state, resting state, and the difference between the task and resting states were calculated. A two-sample t-test was performed on the blood oxygen changes in the task state, resting state, and task-resting state to compare the differences between the two groups. A significance level of <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was set.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Eye movement behavior</title>
<p>The task error rate was significantly higher in the PD group (35.62&#x202F;&#x00B1;&#x202F;28.74%) than in the control group (19.45&#x202F;&#x00B1;&#x202F;21.44%; <italic>p</italic>&#x202F;=&#x202F;0.02). The average fixation time was also significantly longer in the PD group (880.62&#x202F;&#x00B1;&#x202F;12.86&#x202F;ms) than in the control group (742.98&#x202F;&#x00B1;&#x202F;158.86&#x202F;ms; <italic>p</italic>&#x202F;=&#x202F;0.001; <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The behavioral differences between the PD group and the control group in eye movement tasks (&#x002A; represents a significant difference between the two groups of subjects, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Parameters</th>
<th align="center" valign="top">PD group <italic>n</italic>&#x202F;=&#x202F;27 (Mean&#x202F;&#x00B1;&#x202F;standard deviation)</th>
<th align="center" valign="top">Control group <italic>n</italic>&#x202F;=&#x202F;29 (Mean&#x202F;&#x00B1;&#x202F;standard deviation)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x201C;Whack-a-Mole&#x201D; task error rate (%)</td>
<td align="char" valign="top" char="&#x00B1;">35.62 &#x00B1; 28.74</td>
<td align="char" valign="top" char="&#x00B1;">19.45 &#x00B1; 21.44</td>
<td align="char" valign="top" char=".">0.02&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Average fixation time (ms)</td>
<td align="char" valign="top" char="&#x00B1;">880.62 &#x00B1; 12.86</td>
<td align="char" valign="top" char="&#x00B1;">742.98 &#x00B1; 158.86</td>
<td align="char" valign="top" char=".">0.001&#x002A;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Brain functional status under eye movement tasks</title>
<p>The specific brain region activation differences are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>, which highlights significant activations in these regions (yellow and red areas in the figure). In the eye movement &#x201C;Whack-a-Mole&#x201D; task, changes in blood oxygen concentration between the task and resting states were calculated, and a two-sample t-test was used to analyze the differences in oxygenated hemoglobin concentration in brain regions between the PD group and the healthy control group. The results showed that the PD group had significantly higher concentrations of oxygenated hemoglobin in the bilateral primary visual cortex (V1), visual association cortex, primary somatosensory cortex (S1), and auditory cortex compared to the control group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Differences in cortical activation between the PD group and the control group during the eye movement task.</p>
</caption>
<graphic xlink:href="fnhum-19-1624668-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Brain imaging comparison showing five views: front, vertical, rear, left, and right. Colored regions in red to yellow indicate areas of significance between PD and control groups. A color scale on the right ranges from one point seven to two point five six.</alt-text>
</graphic>
</fig>
<p>(The statistical map (t-values) overlaid on a brain template shows brain regions with significantly higher oxygenated hemoglobin concentration in the PD group compared to the controls (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Yellow-to-red colors indicate higher activation in the PD group. Views from the top, front, left, right, and rear are displayed).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>This study used a VR platform combined with fNIRS to evaluate the behavioral performance and associated brain function changes of PD patients during an eye movement task. The results showed that PD patients had a significantly higher error rate and significantly longer average fixation time during the &#x201C;Whack-a-Mole&#x201D; task compared to the healthy control group. The performance differences in the visual tracking task suggest that eye movement control in PD patients is affected by their neurological condition, which is consistent with previous studies on eye movement abnormalities in PD patients. This delayed eye movement response may result from impairments in the basal ganglia-frontal lobe circuit in PD patients, thereby affecting their ability to quickly respond to visual stimuli (<xref ref-type="bibr" rid="ref3">&#x00C1;vila, 2024</xref>).</p>
<p>In terms of brain function imaging, fNIRS revealed significant activation in the bilateral V1, visual association cortex, S1, and auditory cortex in PD patients during task execution. However, no significant activation was observed in the FEF, which may be related to the degeneration of the frontal cortex and the dysregulation of associated networks in PD patients (<xref ref-type="bibr" rid="ref7">Ji et al., 2023</xref>; <xref ref-type="bibr" rid="ref15">Masilamoni et al., 2022</xref>). FEF are typically considered a key brain region for regulating visual tracking and eye movement, particularly playing a crucial role in rapid saccadic eye movements and target tracking tasks (<xref ref-type="bibr" rid="ref6">Hanning et al., 2023</xref>; <xref ref-type="bibr" rid="ref19">Qian et al., 2025</xref>). Studies noted that the basal ganglia-frontal lobe network in PD patients is severely affected during disease progression, leading to impairments in frontal lobe functions, including eye movement control (<xref ref-type="bibr" rid="ref21">Revankar et al., 2020</xref>). This dysfunction of the frontal-basal ganglia network may explain the lack of significant activation in the FEF observed in our study.</p>
<p>Although no significant activation was observed in the FEF, PD patients exhibited significant activation in other brain regions, such as the V1, visual association cortex, S1, and auditory cortex. This increased brain activity suggests that PD patients may require more neural resources to process visual information and complete the same task, which aligns with their behavioral performance. The enhanced activity in the V1 and visual association cortex may be related to the higher cognitive load required by PD patients when performing visual tasks. Under normal conditions, these regions are primarily responsible for basic visual processing and integration. However, due to the decline in motor and cognitive functions in PD patients, they may become more reliant on visual perception to complete the task (<xref ref-type="bibr" rid="ref23">Tong et al., 2025</xref>). Previous studies have also indicated that PD patients often exhibit additional visual cortex activation during complex visual tasks, potentially compensating for deficits in motor control functions (<xref ref-type="bibr" rid="ref16">Nitschke et al., 2023</xref>).</p>
<p>Furthermore, the significant activation observed in the S1 and auditory cortex may be related to sensory integration issues in PD patients. Research has shown that PD patients not only exhibit motor control deficits but may also experience multisensory integration impairments (<xref ref-type="bibr" rid="ref17">Permezel et al., 2023</xref>). This abnormal sensory processing could be one of the reasons why patients require more time to fixate on target objects and make more errors during the task. When the brain attempts to integrate visual, auditory, and sensory information, it encounters difficulties and must mobilize additional neural resources, leading to heightened brain activity. These findings support the hypothesis that PD patients require additional brain region activation to complete perceptual-motor tasks, especially those involving multisensory integration, such as visual, somatosensory, and auditory processing (<xref ref-type="bibr" rid="ref9">Jordi and Isacson, 2024</xref>; <xref ref-type="bibr" rid="ref13">Luft et al., 2020</xref>).</p>
<p>It is noteworthy that the significant activation observed in multiple brain regions of PD patients in this study may represent a compensatory mechanism. This is consistent with previous findings, which suggest that PD patients activate additional networks during complex tasks to compensate for deficiencies in the basal ganglia circuits, serving as a compensatory response to damage (<xref ref-type="bibr" rid="ref26">Youn et al., 2023</xref>; <xref ref-type="bibr" rid="ref8">Johansson et al., 2024</xref>). The activation patterns of these brain regions, particularly the abnormalities in the primary visual cortex, somatosensory cortex, and multisensory integration areas, could serve as early diagnostic biomarkers for PD. As the disease progresses and compensatory mechanisms change, alterations in brain region activation can be used to monitor disease deterioration. Furthermore, individualized treatment plans could be tailored based on the unique brain activation patterns of each patient, targeting the enhancement or modulation of specific brain regions to improve therapeutic outcomes.</p>
<p>As demonstrated above, PD patients exhibit considerable eye movement abnormalities during the execution of complex visual tasks, accompanied by compensatory brain function activation in relevant brain regions. These findings provide important insights for the early diagnosis and potential therapeutic intervention of PD. However, the limitations of this study include the relatively small sample size, which may impact the generalizability of the results. Future studies should aim to increase the sample size to verify the stability and broader applicability of these findings. Additionally, the limitations of the task design in this study may influence the interpretation of the results. Future research could consider designing more diverse tasks to comprehensively assess the brain function changes in PD patients.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates that PD patients exhibit significant eye movement abnormalities during the execution of VR eye movement tasks, accompanied by compensatory brain function activation in relevant brain regions. These findings provide new evidence for the early diagnosis and personalized treatment of PD. The results suggest that the combination of VR and fNIRS technology may have broad application prospects in this field.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Ethics Committee of The Second Hospital of Dalian Medical University. 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 sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>YaL: Writing &#x2013; original draft. ZS: Writing &#x2013; original draft. LW: Writing &#x2013; original draft. CY: Software, Methodology, Conceptualization, Writing &#x2013; review &#x0026; editing. XW: Methodology, Data curation, Writing &#x2013; review &#x0026; editing, Software, Formal analysis. YoL: Writing &#x2013; review &#x0026; editing. LQ: Writing &#x2013; review &#x0026; editing.</p>
</sec>

<sec sec-type="COI-statement" id="sec20">
<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 sec-type="ai-statement" id="sec21">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec22">
<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>
</sec>
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</ref-list><fn-group><fn id="fn0001" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/279396/overview">Xiaosu Hu</ext-link>, University of Michigan, United States</p></fn>
<fn id="fn0002" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1345163/overview">Alessandro Bortolotti</ext-link>, University of Studies G. d'Annunzio Chieti and Pescara, Italy</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2009464/overview">Xuetong Zhai</ext-link>, University of Pittsburgh, United States</p></fn></fn-group></back>
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