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<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</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/fnins.2025.1622708</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Neurofunctional correlates of emotional dysregulation in adolescent Crohn&#x2019;s disease: a resting-state fMRI preliminary investigation</article-title>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Ao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Mengting</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="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Deng</surname>
<given-names>Xiaoling</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Shuo</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Keshu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Hubei Provincial Clinical Research Center for Precision Radiology &#x0026; Interventional Medicine</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/394897/overview">Matilde Otero-Losada</ext-link>, National Scientific and Technical Research Council (CONICET), Argentina</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/828858/overview">Zong Hui Liang</ext-link>, Shanghai Jing'an District Central Hospital, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3070567/overview">Mengqi Zhao</ext-link>, Purdue University, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Shuo Huang, <email>hs33831827@163.com</email>; Keshu Xu, <email>xkswhuh@126.com</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1622708</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Liu, Huang, Deng, Huang and Xu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Huang, Deng, Huang and Xu</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 id="sec1">
<title>Background</title>
<p>This study aimed to characterize the relationship between abnormal intrinsic brain function with emotional symptoms in adolescent Crohn&#x2019;s disease (CD) patients through resting-state functional magnetic resonance imaging (rs-fMRI).</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Forty adolescent CD patient and 53 healthy controls (HCs) were recruited and completed standardized assessments including the Inflammatory Bowel Disease Questionnaire (IBDQ), Symptom Checklist-90 (SCL-90), Social Support Rating Scale (SSRS), and rs-fMRI scans. Compared the intrinsic brain function between groups using amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF). Subsequent correlation analyses examined relationships between neuroimaging findings clinical indicators, and psychometric measures.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Adolescent CD patients demonstrated significantly lower IBDQ and SSRS scores but higher SCL-90 scores. ALFF abnormalities localized to left superior/inferior temporal gyri, and left precuneus gyrus, while fALFF alterations involved left calcarine fissure and surrounding cortex, Vermis, and left superior frontal gyrus medial. Notably, functional connectivity (FC) of these regions were also changed. Critically, seed-based FC analysis revealed enhanced coupling between left precuneus and both the left superior temporal gyrus and left inferior temporal gyrus and between left medial superior frontal gyrus, left calcarine cortex, and cerebellar vermis, suggesting disease-specific hyperconnectivity in sensory-cognitive networks. Meanwhile, the ALFF in left inferior temporal gyrus was negatively correlated with obsessive compulsive (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.348, <italic>p</italic>&#x202F;=&#x202F;0.028), depression (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.344, <italic>p</italic>&#x202F;=&#x202F;0.003), and anxiety (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.388, <italic>p</italic>&#x202F;=&#x202F;0.013), but positively associated with serum albumin (<italic>r</italic>&#x202F;=&#x202F;0.338, <italic>p</italic>&#x202F;=&#x202F;0.033). The fALFF in vermis showed positive association with interpersonal sensitivity (<italic>r</italic>&#x202F;=&#x202F;0.316, <italic>p</italic>&#x202F;=&#x202F;0.047), depression (<italic>r</italic> =&#x202F;0.336, <italic>p</italic>&#x202F;=&#x202F;0.020), paranoid (<italic>r</italic> =&#x202F;0.314, <italic>p</italic>&#x202F;=&#x202F;0.049), psychoticism (<italic>r</italic>&#x202F;=&#x202F;0.359, <italic>p</italic>&#x202F;=&#x202F;0.023) in adolescent CD patients.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>These findings provide new insights into the neurobiological basis of emotional symptoms in adolescent CD patients, highlighting altered activity in temporal, frontal, and cerebellar regions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adolescent</kwd>
<kwd>Crohn&#x2019;s disease</kwd>
<kwd>amplitude of low frequency fluctuations</kwd>
<kwd>resting-state functional magnetic resonance imaging</kwd>
<kwd>functional connectivity</kwd>
</kwd-group>
<contract-sponsor id="cn1">national natural science foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn2">natural science foundation of Hubei province<named-content content-type="fundref-id">10.13039/501100003819</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="12"/>
<word-count count="8555"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gut-Brain Axis</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Crohn&#x2019;s disease (CD), a chronic transmural inflammatory condition of the gastrointestinal tract, frequently manifests during adolescence with distinctive complications with rising global incidence (<xref ref-type="bibr" rid="ref50">Vernier-Massouille et al., 2008</xref>; <xref ref-type="bibr" rid="ref39">Rosen et al., 2015</xref>; <xref ref-type="bibr" rid="ref37">Piovani et al., 2020</xref>; <xref ref-type="bibr" rid="ref36">Ng et al., 2017</xref>). Adolescents CD patients face unique challenges, including growth retardation, severe disease phenotypes, and psychosocial burdens such as academic disruptions and social isolation (<xref ref-type="bibr" rid="ref17">Engel et al., 2021</xref>; <xref ref-type="bibr" rid="ref48">Turner et al., 2021</xref>). Critically, these stressors contribute to a high prevalence of emotional dysregulation, with 5 to 33% of pediatric CD patients developing comorbid mental health&#x2019;s&#x2014;a rate significantly exceeding the general population (<xref ref-type="bibr" rid="ref42">Stapersma et al., 2018</xref>). Population study indicated strong associations between early-onset CD and depression, anxiety, suicidal behaviors, and neurodevelopmental conditions (<xref ref-type="bibr" rid="ref9">Butwicka et al., 2019</xref>; <xref ref-type="bibr" rid="ref35">Mikocka-Walus et al., 2016</xref>), while disease-specific factors, such as fatigue (<xref ref-type="bibr" rid="ref6">Bevers et al., 2023</xref>) and symptom stigma, further impair quality of life (<xref ref-type="bibr" rid="ref14">Cooney et al., 2024</xref>; <xref ref-type="bibr" rid="ref40">Ross et al., 2011</xref>). Despite evidence linking CD pathophysiology to gut-brain axis dysregulation, the neurofunctional mechanisms underlying emotional comorbidities in adolescents remain uncharacterized.</p>
<p>Resting-state functional magnetic resonance imaging (rs-fMRI), as a reliable and non-invasive method for assessing brain functions, has become one of the commonly used neuroimaging techniques in brain science research in recent years (<xref ref-type="bibr" rid="ref52">Yabluchanskiy et al., 2021</xref>). Amplitude of low-frequency fluctuation (ALFF) is an rs-fMRI index used to detect the regional strength of spontaneous fluctuations in Blood Oxygen Level Dependent signals, which can precisely locate spontaneous neural activities in specific brain regions and physiological states (<xref ref-type="bibr" rid="ref54">Zang et al., 2007</xref>). Changes in ALFF have been reported in CD patients (<xref ref-type="bibr" rid="ref23">Huang et al., 2024</xref>; <xref ref-type="bibr" rid="ref27">Li et al., 2021</xref>; <xref ref-type="bibr" rid="ref4">Bao et al., 2018</xref>). Fractional ALFF (fALFF), derived from ALFF, measures the proportion of low-frequency oscillations within a specific frequency range (typically 0.01&#x2013;0.08&#x202F;Hz), thereby representing spontaneous neuronal activity during rest. To a certain extent, it avoids the drawbacks of ALFF, such as being easily affected by cerebrospinal fluid and physiological noise in the ventricle. It can effectively inhibit the non-specific signal components in the resting state fMRI and significantly improve the sensitivity and specificity of local spontaneous brain activity detection (<xref ref-type="bibr" rid="ref56">Zou et al., 2008</xref>).</p>
<p>Functional connectivity (FC) characterizes the temporal synchronization of spontaneous fluctuations between distinct brain regions, providing insights into the functional integrity of neural networks (<xref ref-type="bibr" rid="ref18">Fox and Raichle, 2007</xref>). The combined application of these metrics enables comprehensive evaluation of both regional intrinsic activity and disease-associated network alterations. These approaches have been widely employed in functional gastrointestinal disorders and neurological conditions, demonstrating significant potential in resting-state brain function research (<xref ref-type="bibr" rid="ref46">Thomann et al., 2025</xref>; <xref ref-type="bibr" rid="ref26">Langhammer et al., 2025</xref>). Consequently, they may prove instrumental in elucidating resting-state neural signatures in adolescents with CD and advancing our understanding of the pathophysiological mechanisms underlying pediatric CD. However, these study cohorts primarily comprised adult CD populations, with observed inconsistencies predominantly confined to adult patients. Specifically, <xref ref-type="bibr" rid="ref4">Bao et al. (2018)</xref> reported hippocampal hyperactivity in adults, whereas <xref ref-type="bibr" rid="ref27">Li et al. (2021)</xref> documented hypoactivity in a separate adult cohort. Similarly, <xref ref-type="bibr" rid="ref33">Mallio et al. (2020)</xref> identified cerebellar connectivity alterations in adults, contrasting with Huang et al.&#x2019;s (<xref ref-type="bibr" rid="ref23">Huang et al., 2024</xref>) null findings in another adult sample. These contradictory findings underscore the necessity for further investigation into neural patterns in adolescent CD.</p>
<p>While rs-fMRI has been widely used to investigate neuropsychiatric conditions, no studies to date have systematically examined functional brain alterations in adolescents with CD. Based on emerging evidence of brain-gut interactions in inflammatory bowel disease, we hypothesize that adolescent CD patients exhibit distinct patterns of altered ALFF, fALFF and FC in key brain regions involved in emotion regulation and social cognition. We further hypothesize that these neurofunctional changes correlate significantly with both validated measures of emotional dysregulation and clinically relevant disease characteristics. The primary objective of this study is to examine neural correlates of emotional symptoms changes in adolescent CD patients and explore potential associations between aberrant spontaneous brain activity and emotional symptoms. Additionally, we employed regions exhibiting altered activity in adolescent CD as seed points to map brain functional connectivity patterns using both ALFF and fALFF analyses. This will aid in early intervention and personalized care, and offer a new perspective for guiding the diagnosis, treatment, and prognostic evaluation of the condition.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Participants</title>
<p>All adolescent CD patients were consecutively recruited from Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between December 2019 to October 2023. Additionally, healthy controls (HCs) were recruited via advertisement. The inclusion criteria of patients were as follows: (1) confirmed diagnosis of CD by a gastroenterologist according to the European Crohn&#x2019;s and Colitis Organization (<xref ref-type="bibr" rid="ref31">Maaser et al., 2019</xref>) and the European Society for Pediatric Gastroenterology, Hepatology and Nutrition Diagnostic Criteria (<xref ref-type="bibr" rid="ref7">Birimberg-Schwartz et al., 2017</xref>); (2) age under 20&#x202F;years old; (3) right-handed; (4) native language is Chinese; (5) capable of communication and understanding of the survey questionnaires. HCs were recruited according to the following criteria: (1) age- and gender-matched to patients; (2) absence of diagnosed gastrointestinal disorders; and (3) fulfillment of criteria 3&#x2013;5 identical to those applied to patients.</p>
<p>The exclusion criteria of patients and HCs were as follows: (1) having undergone abdominal surgery related to CD; (2) contraindications for MRI examination; (3) use of psychotropic drugs within the past 3&#x202F;months; (4) Poor image quality. All patients underwent psychological evaluations and blood sampling to measure inflammatory biomarkers. Following diagnosis and evaluation by gastroenterologists, all participants received monoclonal antibody or anti-inflammatory medication treatment in accordance with good clinical practice. The flow diagram of the enrolled patients with CD and HCs is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow diagram of participant enrollment and assessment. CD, Crohn&#x2019;s disease, fMRI, functional magnetic resonance imaging; CRP, C-reactive protein; ESR, Erythrocyte sedimentation rate; ALFF, amplitude of low-frequency fluctuation; fALFF, Fractional ALFF; FC,functional connectivity; IBDQ, Inflammatory Bowel Disease Questionnaire; SSRS, Social Support Rating Scale; SCL-90, Symptom Checklist-90.</p>
</caption>
<graphic xlink:href="fnins-19-1622708-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart showing the recruitment and assessment of adolescent CD patients and healthy controls. Forty-two CD patients were recruited; 2 were excluded due to poor image quality, resulting in 40 enrolled. Fifty-three healthy controls were recruited, with no exclusions. Assessments included clinical characteristics (CRP, ESR, Albumin), resting-state fMRI (ALFF, fALFF, FC), and neuropsychological assessments (IBDQ, SCL-90, SSRS).</alt-text>
</graphic>
</fig>
<p>This study was approved by the institutional ethics committee of Union Hospital of Tongji Medical College of Huazhong University of Science and Technology (0940&#x2013;01). All participants were signed informed consent forms.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Clinical and neuropsychological assessments</title>
<p>We collected the clinical and neuropsychological features of a clinical database and neuropsychological questionnaire. The demographic and clinical information includes gender, age, education, site of disease onset, disease duration, serum markers. The Chinese version of the Inflammatory Bowel Disease Questionnaire (IBDQ), the Symptom Checklist-90 (SCL-90) and Social Support Rating Scale (SSRS) were used to assess subjects&#x2019; quality of life, anxiety, depression, and other psychological statuses. IBDQ is a validated, disease-specific instrument designed to assess health-related quality of life (HRQoL) in patients with IBD (<xref ref-type="bibr" rid="ref49">van den Brink et al., 2018</xref>). The IBDQ comprises 32 items across four domains: intestinal symptoms (10 items), systemic symptoms (5 items), social function (5 items), and emotional function (7 items). The SCL-90 and SSRS have been validated in adolescent populations, including those with chronic illnesses (<xref ref-type="bibr" rid="ref2">Arnard&#x00F3;ttir et al., 2025</xref>; <xref ref-type="bibr" rid="ref10">Cai et al., 2025</xref>; <xref ref-type="bibr" rid="ref41">Shi et al., 2023</xref>; <xref ref-type="bibr" rid="ref5">Benoni et al., 2025</xref>; <xref ref-type="bibr" rid="ref13">Chu et al., 2025</xref>; <xref ref-type="bibr" rid="ref38">Riva et al., 2024</xref>), as well as in adult patients with CD (<xref ref-type="bibr" rid="ref24">Huang et al., 2023</xref>). The SCL-90 has shown high reliability in assessing emotional distress in adolescents with chronic conditions (<xref ref-type="bibr" rid="ref38">Riva et al., 2024</xref>; <xref ref-type="bibr" rid="ref55">Zhang et al., 2024</xref>), while the SSRS has been used extensively in Chinese adolescent cohorts, demonstrating robust construct validity (<xref ref-type="bibr" rid="ref28">Li et al., 2018</xref>). Thus, the IBDQ was employed to evaluate HRQoL across all study participants. Concurrently, the SCL-90 was utilized to assess emotional symptoms from multiple dimensions, while the SSRS was administered to measure social support levels among patients. Specific questionnaire contents are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 1</xref>.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Image acquisition and preprocessing</title>
<p>In this study, a 3.0&#x202F;T MRI magnetic resonance scanner (SIEMENS SKYRA) was used to acquire functional and anatomical images using a 32-channel head coil. The parameters for the functional imaging were as follows: 240 time points; time of repetition (TR)&#x202F;=&#x202F;2,000&#x202F;ms, echo time (TE)&#x202F;=&#x202F;30&#x202F;ms, slice thickness&#x202F;=&#x202F;2.4&#x202F;mm (no gaps); slices&#x202F;=&#x202F;60; flip angle (FA)&#x202F;=&#x202F;90&#x00B0;; field of view (FOV)&#x202F;=&#x202F;230&#x202F;&#x00D7;&#x202F;230&#x202F;mm; voxel size&#x202F;=&#x202F;2.4&#x202F;&#x00D7;&#x202F;2.4&#x202F;&#x00D7;&#x202F;2.4&#x202F;mm; bandwidth&#x202F;=&#x202F;1796&#x202F;Hz/Px, and the total scan time was 8&#x2032;13&#x2033;. The parameters for the anatomical imaging were as follows: magnetization prepared rapid gradient echo (MP2RAGE) sequence, TR&#x202F;=&#x202F;5,000&#x202F;ms; TE&#x202F;=&#x202F;2.98&#x202F;ms, slice thickness&#x202F;=&#x202F;1.0&#x202F;mm (no gaps); slices&#x202F;=&#x202F;176; voxel size&#x202F;=&#x202F;1&#x202F;&#x00D7;&#x202F;1&#x202F;&#x00D7;&#x202F;1&#x202F;mm; FOV&#x202F;=&#x202F;256&#x202F;&#x00D7;&#x202F;240&#x202F;mm; FA was 9&#x00B0;; bandwidth was 240&#x202F;Hz/Px; and the total scan time was 8&#x2032;22&#x2033;. Before the scan, participants were instructed not to take caffeine containing substances. During the scan, they were asked to lie in a supine position, keep their eyes closed but remain awake. Earplugs and sponge pads were used to reduce scanning noise to protect the participants&#x2019; hearing and prevent head movement.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Data preprocessing</title>
<p>The rs-fMRI data were preprocessed using MATLAB R2021a and the DPABI (V7.0) software (<xref ref-type="bibr" rid="ref53">Yan et al., 2016</xref>). The preprocessing steps were as follows: (1) discarding the first 10 time points, and the data from the remaining 230 time points were retained; (2) slice timing, slice number&#x202F;=&#x202F;60, slice order&#x202F;=&#x202F;[2:2:60, 1:2:59], reference slice&#x202F;=&#x202F;60; (3) head motion correction, with over 2.0&#x202F;mm translation or over 2.0&#x00B0; rotation in any direction were excluded; (4) spatial normalization by the Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra (DARTEL) toolbox (<xref ref-type="bibr" rid="ref3">Ashburner, 2007</xref>); (5) smooth, with Gaussian kernel of 6&#x202F;mm full width at half-maximum; and (6) removal of linear trends.</p>
<p>Throughout processing, we adhered to default parameter settings in accordance with established protocols. To ensure data integrity, we implemented a rigorous two-stage quality control protocol. First, all images underwent thorough visual inspection prior to preprocessing to identify and address potential artifacts. Subsequently, post-segmentation statistical quality control was performed to evaluate overall image quality.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>ALFF, fALFF calculation and functional connectivity analysis</title>
<p>For ALFF calculation, time series were transformed to the frequency domain via Fast Fourier Transform. Then, the square root of the power spectrum was computed and averaged across the conventional 0.01 to 0.08&#x202F;Hz band to minimize contamination from high-frequency physiological noise and low-frequency scanner drift. ALFF maps were then converted to z-scores using Fisher&#x2019;s r-to-z transformation for subsequent group-level analysis.</p>
<p>The fALFF was defined as the ratio of ALFF in the 0.01&#x2013;0.08&#x202F;Hz band to the full frequency range (0 to 0.25&#x202F;Hz). And the fALFF maps underwent identical global mean normalization as ALFF. The fALFF maps were then converted to z-scores using Fisher&#x2019;s r-to-z transformation for subsequent group-level analysis.</p>
<p>For FC calculation, based on ALFF and fALFF findings, the altered brain regions (voxel size more than 30) between adolescents CD with HCs groups, were chosen as seeds. Spherical regions of interest with 6-mm radius were centered on peak MNI coordinates. Pearson correlation coefficients were computed between each seed region&#x2019;s mean time course and all other brain voxels. Correlation coefficients underwent Fisher&#x2019;s z-transformation to improve normality for statistical testing.</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Statistical analysis</title>
<p>The differences in demographic and neuropsychological data between the two groups were compared using the two-sample t-test and chi-square test in GraphPad Prism 8 software. A <italic>p</italic>-value less than 0.05 was considered statistically significant. The ALFF, fALFF and FC between the two groups were compared using the two-sample t-test in the statistical module of DPABI, with gender, age, mean FD Jenkinson as covariates. The covariate selection strategy was based on methodological and neurobiological considerations: age and gender were included as standard covariates in neuroimaging studies due to their established effects on resting-state metrics. The head movement parameters (mean FD Jenkinson) was also as one of the covariates for analysis in the subsequent statistics. Then the cluster level correction was performed by Gaussian random field (GRF) correction (voxel <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, cluster <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The average signal values of brain regions with ALFF and fALFF differences were extracted using DPABI software (Utilities, ROI Signal Extractor). To investigate brain-clinical associations, partial correlation analyses were performed between the neuroimaging markers (ALFF and fALFF) that showed significant group differences and key clinical indicators, as well as neuropsychological data.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Demographics and clinical characteristics of participants</title>
<p>A total of 40 adolescent CD patients and 53 HCs were included in this study, as shown in <xref ref-type="table" rid="tab1">Table 1</xref>. There were no statistically significant differences between the two groups in terms of demographic characteristics such as age (CD: 18.60&#x202F;&#x00B1;&#x202F;0.98&#x202F;years, HCs: 18.66&#x202F;&#x00B1;&#x202F;0.71&#x202F;years, <italic>p</italic>&#x202F;=&#x202F;0.731), gender (CD: 92.50% male, HCs: 83.02% male, <italic>p</italic>&#x202F;=&#x202F;0.177), and educational level (CD: 11.95&#x202F;&#x00B1;&#x202F;0.39&#x202F;years, HCs: 12.00&#x202F;&#x00B1;&#x202F;0.34&#x202F;years, <italic>p</italic>&#x202F;=&#x202F;0.511). However, CD patients exhibited significantly lower body mass index (BMI) compared to HCs (CD: 18.99&#x202F;&#x00B1;&#x202F;3.35, HCs: 23.61&#x202F;&#x00B1;&#x202F;1.87, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Among CD patients, the mean disease duration was 5.04&#x202F;&#x00B1;&#x202F;8.35&#x202F;months. Laboratory parameters indicated active inflammation, with elevated erythrocyte sedimentation rate (ESR, 17.20&#x202F;&#x00B1;&#x202F;16.80&#x202F;mm/h), C-reactive protein (CRP, 16.82&#x202F;&#x00B1;&#x202F;19.49&#x202F;mg/L), and platelet counts (311.55&#x202F;&#x00B1;&#x202F;131.28&#x202F;&#x00D7;&#x202F;10 (<xref ref-type="bibr" rid="ref35">Mikocka-Walus et al., 2016</xref>)/L). Nutritional parameters showed reduced hemoglobin (149.05&#x202F;&#x00B1;&#x202F;156.90&#x202F;g/L) and albumin levels (41.22&#x202F;&#x00B1;&#x202F;6.29&#x202F;g/L). According to the Montreal classification, most patients were diagnosed at age 17 to 20&#x202F;years (A2: 80.0%), with predominant ileocolonic involvement (L3: 82.5%). Disease behavior was primarily inflammatory (B1: 67.5%), with frequent perianal disease (P: 70.0%).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Clinical and demographics data of patients with adolescent Crohn&#x2019;s disease and healthy controls.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">CD (<italic>n</italic>&#x202F;=&#x202F;40)</th>
<th align="center" valign="top">HCs (<italic>n</italic>&#x202F;=&#x202F;53)</th>
<th align="center" valign="top">t/&#x03C7;<sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic> values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Male (n, %)</td>
<td align="center" valign="top">37 (92.50)</td>
<td align="center" valign="top">44 (83.02)</td>
<td align="center" valign="top">1.82</td>
<td align="center" valign="middle">0.177</td>
</tr>
<tr>
<td align="left" valign="middle">Age (year)</td>
<td align="center" valign="top">18.60&#x202F;&#x00B1;&#x202F;0.98</td>
<td align="center" valign="top">18.66&#x202F;&#x00B1;&#x202F;0.71</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="middle">0.731</td>
</tr>
<tr>
<td align="left" valign="middle">Body Mass Index</td>
<td align="center" valign="top">18.99&#x202F;&#x00B1;&#x202F;3.35</td>
<td align="center" valign="top">23.61&#x202F;&#x00B1;&#x202F;1.87</td>
<td align="center" valign="top">7.49</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Education (years)</td>
<td align="center" valign="top">11.95&#x202F;&#x00B1;&#x202F;0.39</td>
<td align="center" valign="top">12.00&#x202F;&#x00B1;&#x202F;0.34</td>
<td align="center" valign="top">0.66</td>
<td align="center" valign="middle">0.511</td>
</tr>
<tr>
<td align="left" valign="middle">Duration (month)</td>
<td align="center" valign="top">5.04&#x202F;&#x00B1;&#x202F;8.35</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">ESR (mm/h)</td>
<td align="center" valign="middle">17.20&#x202F;&#x00B1;&#x202F;16.80</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">C-reactive protein (mg/L)</td>
<td align="center" valign="middle">16.82&#x202F;&#x00B1;&#x202F;19.49</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Platelet levels (10<sup>9</sup>/L)</td>
<td align="center" valign="top">311.55&#x202F;&#x00B1;&#x202F;131.28</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Hemoglobin (g/L)</td>
<td align="center" valign="top">149.05&#x202F;&#x00B1;&#x202F;156.90</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Albumin (g/L)</td>
<td align="center" valign="top">41.22&#x202F;&#x00B1;&#x202F;6.29</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Montreal classification</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">A1: A2</td>
<td align="center" valign="top">8:32</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">L1: L2: L3: L4</td>
<td align="center" valign="top">6:1:33:13</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">B1: B2: B3: P</td>
<td align="center" valign="top">27:7:6:28</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Current therapy</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Nutritional therapy (n, %)</td>
<td align="center" valign="top">4 (10)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">5-aminosalicylates (n, %)</td>
<td align="center" valign="top">7 (17.5)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Biological therapy (n, %)</td>
<td align="center" valign="top">23 (57.5)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">Combined therapy (n, %)</td>
<td align="center" valign="top">7 (10)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="middle">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CD, Crohn&#x2019;s disease; HCs, Healthy controls; ESR, Erythrocyte sedimentation rate; A1, age at diagnosis &#x003C;16&#x202F;years; A2, age at diagnosis 17&#x2013;40&#x202F;years; L1, ileum; L2, colonic; L3, ileocolonic; L4, upper gastrointestinal tract disease; B1, on inflammatory and no penetrating; B2, inflammatory; B3, penetrating; P, perianal disease.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Neuropsychological characteristics of participants</title>
<p>Comprehensive psychological assessments revealed significant differences between adolescent CD patients and HCs across multiple domains (<xref ref-type="table" rid="tab2">Table 2</xref>). Quality of life measures demonstrated that CD patients had significantly worse bowel symptoms (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), emotional function (<italic>p</italic>&#x202F;=&#x202F;0.006), and social function (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), resulting in a lower total IBDQ score (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Social support evaluation showed CD patients had significantly reduced objective support (<italic>p</italic>&#x202F;=&#x202F;0.008), subjective support (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and support availability (<italic>p</italic>&#x202F;=&#x202F;0.031), with a consequently lower total SSRS score (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Psychological characteristics of patients with adolescent Crohn&#x2019;s disease.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Scale</th>
<th align="center" valign="top">Characteristic</th>
<th align="center" valign="top">Total (<italic>n</italic>&#x202F;=&#x202F;93)</th>
<th align="center" valign="top">CD (<italic>n</italic>&#x202F;=&#x202F;40)</th>
<th align="center" valign="top">HCs (<italic>n</italic>&#x202F;=&#x202F;53)</th>
<th align="center" valign="top"><italic>p</italic> values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="5">IBDQ</td>
<td align="center" valign="middle">Bowel symptoms</td>
<td align="center" valign="middle">61.23&#x202F;&#x00B1;&#x202F;7.87</td>
<td align="center" valign="middle">57.52&#x202F;&#x00B1;&#x202F;9.17</td>
<td align="center" valign="middle">64.02&#x202F;&#x00B1;&#x202F;5.29</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Systemic symptoms</td>
<td align="center" valign="middle">27.02&#x202F;&#x00B1;&#x202F;4.45</td>
<td align="center" valign="middle">26.57&#x202F;&#x00B1;&#x202F;5.35</td>
<td align="center" valign="middle">27.36&#x202F;&#x00B1;&#x202F;3.65</td>
<td align="center" valign="middle">0.429</td>
</tr>
<tr>
<td align="center" valign="middle">Emotional function</td>
<td align="center" valign="middle">68.23&#x202F;&#x00B1;&#x202F;8.72</td>
<td align="center" valign="middle">65.22&#x202F;&#x00B1;&#x202F;10.00</td>
<td align="center" valign="middle">70.49&#x202F;&#x00B1;&#x202F;6.88</td>
<td align="center" valign="middle">0.006<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Social function</td>
<td align="center" valign="middle">30.46&#x202F;&#x00B1;&#x202F;5.52</td>
<td align="center" valign="middle">26.60&#x202F;&#x00B1;&#x202F;5.99</td>
<td align="center" valign="middle">33.38&#x202F;&#x00B1;&#x202F;2.60</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Total IBDQ</td>
<td align="center" valign="middle">186.94&#x202F;&#x00B1;&#x202F;23.64</td>
<td align="center" valign="middle">175.93&#x202F;&#x00B1;&#x202F;27.77</td>
<td align="center" valign="middle">195.25&#x202F;&#x00B1;&#x202F;15.71</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">SSRS</td>
<td align="center" valign="middle">Objective support</td>
<td align="center" valign="middle">8.37&#x202F;&#x00B1;&#x202F;2.27</td>
<td align="center" valign="middle">7.65&#x202F;&#x00B1;&#x202F;1.79</td>
<td align="center" valign="middle">8.91&#x202F;&#x00B1;&#x202F;2.46</td>
<td align="center" valign="middle">0.008<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Subjective support</td>
<td align="center" valign="middle">18.90&#x202F;&#x00B1;&#x202F;4.68</td>
<td align="center" valign="middle">16.48&#x202F;&#x00B1;&#x202F;4.91</td>
<td align="center" valign="middle">20.74&#x202F;&#x00B1;&#x202F;3.56</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Availability</td>
<td align="center" valign="middle">7.75&#x202F;&#x00B1;&#x202F;1.67</td>
<td align="center" valign="middle">7.33&#x202F;&#x00B1;&#x202F;1.85</td>
<td align="center" valign="middle">8.08&#x202F;&#x00B1;&#x202F;1.45</td>
<td align="center" valign="middle">0.031<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Total SSRS</td>
<td align="center" valign="middle">35.02&#x202F;&#x00B1;&#x202F;6.43</td>
<td align="center" valign="middle">31.45&#x202F;&#x00B1;&#x202F;6.68</td>
<td align="center" valign="middle">37.72&#x202F;&#x00B1;&#x202F;4.74</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="11">SCL-90</td>
<td align="center" valign="middle">Somatization</td>
<td align="center" valign="middle">14.94&#x202F;&#x00B1;&#x202F;4.66</td>
<td align="center" valign="middle">16.65&#x202F;&#x00B1;&#x202F;5.71</td>
<td align="center" valign="middle">13.64&#x202F;&#x00B1;&#x202F;3.14</td>
<td align="center" valign="middle">0.004<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Obsessive compulsive</td>
<td align="center" valign="middle">15.08&#x202F;&#x00B1;&#x202F;5.10</td>
<td align="center" valign="middle">16.43&#x202F;&#x00B1;&#x202F;5.37</td>
<td align="center" valign="middle">14.06&#x202F;&#x00B1;&#x202F;4.68</td>
<td align="center" valign="middle">0.026<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Interpersonal sensitivity</td>
<td align="center" valign="middle">12.37&#x202F;&#x00B1;&#x202F;4.42</td>
<td align="center" valign="middle">14.43&#x202F;&#x00B1;&#x202F;5.30</td>
<td align="center" valign="middle">10.81&#x202F;&#x00B1;&#x202F;2.77</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Depression</td>
<td align="center" valign="middle">17.23&#x202F;&#x00B1;&#x202F;5.96</td>
<td align="center" valign="middle">19.45&#x202F;&#x00B1;&#x202F;7.13</td>
<td align="center" valign="middle">15.55&#x202F;&#x00B1;&#x202F;4.25</td>
<td align="center" valign="middle">0.003<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Anxiety</td>
<td align="center" valign="middle">12.70&#x202F;&#x00B1;&#x202F;4.12</td>
<td align="center" valign="middle">13.95&#x202F;&#x00B1;&#x202F;5.00</td>
<td align="center" valign="middle">11.75&#x202F;&#x00B1;&#x202F;3.03</td>
<td align="center" valign="middle">0.017<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Hostility</td>
<td align="center" valign="middle">7.91&#x202F;&#x00B1;&#x202F;3.16</td>
<td align="center" valign="middle">9.25&#x202F;&#x00B1;&#x202F;3.83</td>
<td align="center" valign="middle">6.91&#x202F;&#x00B1;&#x202F;2.08</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Phobic anxiety</td>
<td align="center" valign="middle">8.16&#x202F;&#x00B1;&#x202F;2.37</td>
<td align="center" valign="middle">8.88&#x202F;&#x00B1;&#x202F;2.91</td>
<td align="center" valign="middle">7.62&#x202F;&#x00B1;&#x202F;1.70</td>
<td align="center" valign="middle">0.018<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Paranoid</td>
<td align="center" valign="middle">7.33&#x202F;&#x00B1;&#x202F;2.54</td>
<td align="center" valign="middle">8.20&#x202F;&#x00B1;&#x202F;3.19</td>
<td align="center" valign="middle">6.68&#x202F;&#x00B1;&#x202F;1.66</td>
<td align="center" valign="middle">0.004<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Psychoticism</td>
<td align="center" valign="middle">12.04&#x202F;&#x00B1;&#x202F;3.66</td>
<td align="center" valign="middle">13.43&#x202F;&#x00B1;&#x202F;4.44</td>
<td align="center" valign="middle">11.00&#x202F;&#x00B1;&#x202F;2.50</td>
<td align="center" valign="middle">0.003<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Other</td>
<td align="center" valign="middle">9.14&#x202F;&#x00B1;&#x202F;2.67</td>
<td align="center" valign="middle">10.35&#x202F;&#x00B1;&#x202F;2.90</td>
<td align="center" valign="middle">8.23&#x202F;&#x00B1;&#x202F;2.07</td>
<td align="center" valign="middle">&#x003C;0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="center" valign="middle">Total SCL90</td>
<td align="center" valign="middle">116.89&#x202F;&#x00B1;&#x202F;34.51</td>
<td align="center" valign="middle">131.00&#x202F;&#x00B1;&#x202F;40.62</td>
<td align="center" valign="middle">106.25&#x202F;&#x00B1;&#x202F;24.51</td>
<td align="center" valign="middle">0.001<sup>&#x002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CD, Crohn&#x2019;s disease; HCs, healthy controls; IBDQ, Inflammatory Bowel Disease Questionnaire; SSRS, Social Support Rating Scale; SCL-90, Symptom Checklist-90. <sup>&#x002A;</sup>Indicates a significant difference between CD group and HCs group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05); for each factor, we calculated the mean score (sum of item scores divided by the number of items per factor).</p>
</table-wrap-foot>
</table-wrap>
<p>Psychological symptom profiles using the SCL-90 revealed CD patients scored significantly higher across all subscales: somatization (<italic>p</italic>&#x202F;=&#x202F;0.004), obsessive-compulsive symptoms (<italic>p</italic>&#x202F;=&#x202F;0.026), interpersonal sensitivity (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), depression (<italic>p</italic>&#x202F;=&#x202F;0.003), anxiety (<italic>p</italic>&#x202F;=&#x202F;0.017), hostility (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), phobic anxiety (<italic>p</italic>&#x202F;=&#x202F;0.018), paranoid ideation (<italic>p</italic>&#x202F;=&#x202F;0.004), psychoticism (<italic>p</italic>&#x202F;=&#x202F;0.003), and other symptoms (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). These differences culminated in a significantly higher total SCL-90 score for CD patients (<italic>p</italic>&#x202F;=&#x202F;0.001). These findings demonstrate substantial psychological burden in adolescent CD patients, characterized by impaired quality of life, reduced social support, and elevated psychological symptoms scores across multiple symptom domains. Neuropsychological assessments showed that there were statistically significant differences in multiple indicators between the two groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), as shown in <xref ref-type="table" rid="tab2">Table 2</xref>. Overall, compared with the HCs, adolescent CD patients had lower scores on the IBDQ and SSRS, and higher scores on the SCL-90, indicating that adolescent CD patients had emotional symptoms of varying degrees.</p>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>ALFF and fALFF results</title>
<p>Compared to the HCs, adolescent CD group showed higher ALFF values in left superior temporal gyrus (STG. L) and left inferior temporal gyrus (ITG. L), and showed lower ALFF values in left precuneus gyrus (PCUN. L). Compared to the HCs, adolescent CD group showed higher fALFF values in left calcarine cortex (CAL. L) and cerebellar vermis (Vermis 10), and showed lower fALFF values in left superior frontal gyrus, medial (SFGmed. L). The detailed descriptions of brain regions were shown in <xref ref-type="table" rid="tab3">Table 3</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>. We used the Harvard-Oxford cortical and subcortical structural atlases and the AAL3 template to identify regions. The mean values extracted from the brain regions with differences in ALFF and fALFF are presented in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Brain regions with significant differences in amplitude of low frequency fluctuations between patients with adolescent Crohn&#x2019;s disease and healthy controls.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Regions</th>
<th align="center" valign="top">X</th>
<th align="center" valign="top">Y</th>
<th align="center" valign="top">Z</th>
<th align="center" valign="top">Voxel size</th>
<th align="center" valign="top">T value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="6">ALFF: CD&#x202F;&#x003E;&#x202F;HCs</td>
</tr>
<tr>
<td align="left" valign="middle">STG. L</td>
<td align="center" valign="middle">&#x2212;57</td>
<td align="center" valign="middle">&#x2212;9</td>
<td align="center" valign="middle">&#x2212;3</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">4.682</td>
</tr>
<tr>
<td align="left" valign="middle">ITG. L</td>
<td align="center" valign="middle">&#x2212;38</td>
<td align="center" valign="middle">&#x2212;28</td>
<td align="center" valign="middle">&#x2212;13</td>
<td align="center" valign="middle">81</td>
<td align="center" valign="middle">3.707</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">ALFF: CD&#x202F;&#x003C;&#x202F;HCs</td>
</tr>
<tr>
<td align="left" valign="middle">PCUN. L</td>
<td align="center" valign="middle">&#x2212;6</td>
<td align="center" valign="middle">&#x2212;51</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">55</td>
<td align="center" valign="middle">&#x2212;4.636</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">fALFF: CD&#x202F;&#x003E;&#x202F;HCs</td>
</tr>
<tr>
<td align="left" valign="middle">CAL. L</td>
<td align="center" valign="middle">&#x2212;2</td>
<td align="center" valign="middle">&#x2212;93</td>
<td align="center" valign="middle">&#x2212;11</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">4.712</td>
</tr>
<tr>
<td align="left" valign="middle">Vermis_10</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">&#x2212;47</td>
<td align="center" valign="middle">&#x2212;29</td>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">3.701</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">fALFF: CD&#x202F;&#x003C;&#x202F;HCs</td>
</tr>
<tr>
<td align="left" valign="middle">SFGmed. L</td>
<td align="center" valign="middle">&#x2212;12</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">36</td>
<td align="center" valign="middle">&#x2212;4.508</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CD, Crohn&#x2019;s disease; HCs, healthy controls; ALFF, amplitude of low-frequency fluctuation, fALFF, Fractional ALFF; STG. L, left superior temporal gyrus; PCUN. L, left precuneus gyrus; ITG. L, left inferior temporal gyrus; CAL. L, left calcarine cortex; Vermis_10, cerebellar vermis; SFGmed. L, left medial superior frontal gyrus. The statistical threshold was set at voxel <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, cluster <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, and two-tailed (GRF correction). X, Y, and Z coordinates were the primary peak locations in the MNI space.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Whole-brain maps of ALFF and fALFF differences between adolescent CD patients and healthy controls. <bold>(A)</bold> Amplitude of low-frequency fluctuation (ALFF) differences: Increased activity (red) in left superior/inferior temporal gyri (STG. L/ITG. L); decreased activity (blue) in left precuneus (PCUN. L). <bold>(B)</bold> Fractional ALFF (fALFF) differences: Increased activity (red) in left calcarine cortex (CAL. L) and cerebellar vermis (Vermis_10); decreased activity (blue) in left medial superior frontal gyrus (SFGmed. L). The color bar represents the t-value.</p>
</caption>
<graphic xlink:href="fnins-19-1622708-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">MRI brain scans are shown in two sections, labeled A and B, highlighting different regions with color-coded activations. Section A focuses on areas like the left precuneus (PCUN.L) and left superior temporal gyrus (STG.L), displaying blue and red activations. Section B highlights regions such as the left superior frontal gyrus (SFGmed.L), left calcarine (CAL.L), and vermis 10, showing similar activations. A color scale beside each section indicates the activation intensity range from blue to red.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Quantitative comparison of ALFF and fALFF values in regions showing significant group differences. Bar graphs compare adolescents with Crohn&#x2019;s disease (CD) and healthy controls (HCs) for: <bold>(A)</bold> Amplitude of low-frequency fluctuation (ALFF) in left superior/inferior temporal gyri (STG. L/ITG. L), and left precuneus (PCUN. L); <bold>(B)</bold> Fractional ALFF (fALFF) in left calcarine cortex (CAL. L), cerebellar vermis (Vermis_10), and left medial superior frontal gyrus (SFGmed. L). &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 (two-sample <italic>t</italic>-test).</p>
</caption>
<graphic xlink:href="fnins-19-1622708-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs displaying ALFF and fALFF values comparing CD and HC groups. Panel A shows higher STG.L, ITG.L, and PCUN.L values in HC. Panel B shows higher CAL.L, Vermis_10, and SFGmed.L values in HC. Significant differences are indicated by asterisks.</alt-text>
</graphic>
</fig>
<p>Seed-based FC analysis revealed distinct patterns of altered neural connectivity in adolescent CD patients compared to HCs. The ALFF-derived connectivity maps (<xref ref-type="fig" rid="fig4">Figure 4A</xref>) demonstrated significantly enhanced functional coupling between the PCUN. L and both the STG. L and ITG. L, as evidenced by prominent orange connectivity pathways. Similarly, fALFF-based analysis (<xref ref-type="fig" rid="fig4">Figure 4B</xref>) showed increased connectivity involving the SFGmed. L, CAL. L, and Vermis_10, with robust interregional connectivity visualized at coordinates. These findings collectively suggest widespread functional reorganization in CD patients, particularly affecting networks integrating higher-order cognitive (PCUN. L-SFGmed. L), sensory (STG. L-ITG. L), and visual-cerebellar (CAL. L-Vermis 10) processing systems. These findings suggest disease-specific alterations in both cognitive-limbic and visual-cerebellar neural circuits.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Results of functional connectivity analysis selecting the mask of ALFF and fALFF as seed point. <bold>(A)</bold> Significant brain regions of amplitude of low-frequency fluctuation (ALFF) showing increased functional connectivity of the left superior/inferior temporal gyri (STG. L/ITG. L) and left precuneus (PCUN. L) between adolescent Crohn&#x2019;s disease and healthy controls. <bold>(B)</bold> Significant brain regions of Fractional ALFF (fALFF) showing increased functional connectivity of the left calcarine cortex (CAL. L), cerebellar vermis (Vermis_10), and left medial superior frontal gyrus (SFGmed. L). Orange regions indicate hyperconnectivity in CD patients compared to HCs.</p>
</caption>
<graphic xlink:href="fnins-19-1622708-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four diagrams of the human brain showing different lateral view connectivity pathways. Panel A highlights links between PCUN.L, STG.L, and ITG.L. Panel B shows connections involving SFGmed.L, CAL.L, and Vermis_1_0. Orange lines represent pathways, and blue dots mark specific brain regions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<label>3.4</label>
<title>Correlation among clinical data, neuropsychological data, and ALFF and fALFF values</title>
<p>Significant correlations emerged between aberrant neural activity and clinical metrics. As revealed in <xref ref-type="fig" rid="fig5">Figure 5A</xref>, the ALFF values in the STG. L was negatively correlated with the CRP (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.339, <italic>p</italic>&#x202F;=&#x202F;0.033), but positive correlation with albumin (<italic>r</italic>&#x202F;=&#x202F;0.323, <italic>p</italic>&#x202F;=&#x202F;0.042). The ALFF value in ITG. L was positive correlation with albumin (<italic>r</italic>&#x202F;=&#x202F;0.338, <italic>p</italic>&#x202F;=&#x202F;0.033). Meanwhile, the psychological symptomatology of SCL-90 score is also significantly correlated with the neural activity. Specifically, the ALFF value in ITG. L was positive negatively with SCL-90 sub-scores for depression scores (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.344, <italic>p</italic>&#x202F;=&#x202F;0.003), anxiety scores (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.388, <italic>p</italic>&#x202F;=&#x202F;0.013), obsessive compulsive scores (<italic>r</italic> =&#x202F;&#x2212;0.348, <italic>p</italic>&#x202F;=&#x202F;0.028), and the ALFF value in STG. L was negatively correlated with other scores (<italic>r</italic>&#x202F;=&#x202F;&#x2212;0.316, <italic>p</italic>&#x202F;=&#x202F;0.047; <xref ref-type="fig" rid="fig5">Figure 5B</xref>). However, the fALFF in Vermis 10 region was positive correlation with depression scores (<italic>r</italic>&#x202F;=&#x202F;0.336, <italic>p</italic>&#x202F;=&#x202F;0.020), interpersonal sensitivity scores (<italic>r</italic>&#x202F;=&#x202F;0.316, <italic>p</italic>&#x202F;=&#x202F;0.047), paranoid scores (<italic>r</italic>&#x202F;=&#x202F;0.314, <italic>p</italic>&#x202F;=&#x202F;0.049), psychoticism scores (<italic>r</italic>&#x202F;=&#x202F;0.359, <italic>p</italic>&#x202F;=&#x202F;0.023), and other scores (<italic>r</italic>&#x202F;=&#x202F;0.349, <italic>p</italic>&#x202F;=&#x202F;0.028) in SCL90 (<xref ref-type="fig" rid="fig5">Figure 5B</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Correlation analysis of intrinsic brain activity with neuropsychological scores and clinical information. ALFF, amplitude of low-frequency fluctuation, fALFF, Fractional ALFF; STG. L, left superior temporal gyrus; PCUN. L, left precuneus gyrus; ITG. L, left inferior temporal gyrus. <bold>(A)</bold> Correlation analysis of intrinsic brain activity with clinical information. <bold>(B)</bold> Correlation analysis of intrinsic brain activity with neuropsychological scores.</p>
</caption>
<graphic xlink:href="fnins-19-1622708-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plots showing correlations between ALFF values and various biomarkers or psychological conditions. Panel A includes graphs for C-reactive protein and albumin at different regions. Panel B covers depression, anxiety, obsessive-compulsive behavior, and other psychological conditions, also mapped against ALFF values. Correlation coefficients and p-values are provided on each plot.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<label>4</label>
<title>Discussion</title>
<p>Our study demonstrates that adolescents with CD exhibit significantly lower IBDQ and SSRS scores compared to HCs, while demonstrating significantly higher SCL-90 scores. Abnormal ALFF values are found in the left superior temporal gyrus, left inferior temporal gyrus, and left precuneus gyrus. Abnormal fALFF values were identified in the left calcarine fissure and surrounding cortex, vermis, and the left superior frontal gyrus, medial of the brain regions in adolescent CD patients. Furthermore, ALFF and fALFF value exhibited significant correlations with intestinal inflammation and nutritional indicators, and emotional symptoms scores in adolescent CD patients.</p>
<p>Our study found that adolescents with CD exhibited significantly impaired quality of life and diminished social support relative to HCs, concurrently presenting with elevated emotional symptom scores. These findings are consistent with previous research on adult CD patients (<xref ref-type="bibr" rid="ref24">Huang et al., 2023</xref>), emphasizing the multifaceted nature of CD. Previous studies have shown that male and IBD patients aged 12 to 17 are at the highest risk of developing mental health conditions (<xref ref-type="bibr" rid="ref34">McCartney et al., 2022</xref>), and children IBD patients are associated with higher prevalence of anxiety and depression (<xref ref-type="bibr" rid="ref30">Loftus et al., 2011</xref>). The decline in quality of life and social support may stem from the unique behavioral issues associated with adolescent CD (<xref ref-type="bibr" rid="ref22">Griffiths, 2004</xref>), such as perianal disease, abdominal pain, and fatigue (<xref ref-type="bibr" rid="ref21">Greenley et al., 2010</xref>; <xref ref-type="bibr" rid="ref32">Mackner et al., 2013</xref>). The embarrassing nature of IBD symptoms (such as frequent bowel movements, diarrhea etc.) can lead to social isolation, strained family relationships (<xref ref-type="bibr" rid="ref15">Cushman et al., 2020</xref>), and academic difficulties among adolescent patients with CD, all of which contribute to a decrease in overall quality of life. Higher emotional symptoms scores, including symptoms of obsessive compulsive, depression, and anxiety, indicate that adolescent CD often coexists with other mental health conditions. This comorbidity can further complicate the treatment and management of adolescent CD, as addressing one aspect may require a comprehensive consideration of the interplay between behavioral and emotional symptoms.</p>
<p>Most prior studies included adult CD patients in remission or active stages, whereas our study focuses on adolescents, a population with unique neurodevelopmental and psychosocial challenges. In terms of resting-state ALFF and fALFF, we found that the ALFF values in the left precuneus gyrus, left superior temporal gyrus, and left inferior temporal gyrus were abnormally altered in the adolescent CD group. Reduced ALFF in the left precuneus aligns with <xref ref-type="bibr" rid="ref27">Li et al. (2021)</xref>, suggesting a consistent role of the default mode network in CD-related emotional dysregulation. The fALFF values were changed in the left calcarine fissure and surrounding cortex, left superior frontal gyrus, medial, and Vermis brain regions. The temporal gyrus is involved in auditory processing, language comprehension (<xref ref-type="bibr" rid="ref20">Gernsbacher and Kaschak, 2003</xref>), social cognition (<xref ref-type="bibr" rid="ref25">Jou et al., 2010</xref>), memory and learning (<xref ref-type="bibr" rid="ref25">Jou et al., 2010</xref>), all of which are crucial for normal social interaction. Early-onset CD may confer greater neurodevelopmental risk, as inflammation during puberty could disrupt limbic system maturation. The relatively limited sample size in the age less than 16&#x202F;years subgroup may constrain certain age-stratified analyses. However, we incorporated age as a covariate in all comparative analyses of ALFF and fALFF parameters between CD patients and healthy controls, thereby effectively controlling for potential confounding effects of age-related variation.</p>
<p>Increased ALFF in the left superior and inferior temporal gyri is a novel finding. These regions mediate auditory processing (<xref ref-type="bibr" rid="ref44">Sun et al., 2025</xref>), language comprehension (<xref ref-type="bibr" rid="ref51">Xu et al., 2020</xref>), and social cognition (<xref ref-type="bibr" rid="ref29">Li et al., 2025</xref>), which may explain the social withdrawal and interpersonal sensitivity observed in adolescent CD patients. Abnormal ALFF values in the left superior temporal gyrus and left inferior temporal gyrus may disrupt these functions, thereby leading to social and behavioral deficits in patients with adolescent CD (<xref ref-type="bibr" rid="ref19">Gamwell et al., 2018</xref>). The precuneus gyrus is associated with self-awareness processing and episodic memory (<xref ref-type="bibr" rid="ref11">Cavanna and Trimble, 2006</xref>), which may be related to the self-regulation and emotional dysregulation issues commonly seen in adolescent CD. The left calcarine fissure and surrounding cortex are associated with visual processing, while the Vermis of the cerebellum is involved in motor control and cognitive functions (<xref ref-type="bibr" rid="ref16">Devita et al., 2025</xref>; <xref ref-type="bibr" rid="ref12">Chao et al., 2023</xref>). Although research on the function of the Vermis is relatively limited at present, as part of the cerebellar vermis, it has become a key node in the integrated network that connects different functions such as sensory, motor, emotional, and cognitive functions (<xref ref-type="bibr" rid="ref8">Bostan and Strick, 2018</xref>; <xref ref-type="bibr" rid="ref43">Stoodley and Tsai, 2021</xref>). While not directly mediating gastrointestinal function, dysregulation in visual and cerebellar networks may amplify symptom awareness and compromise emotional-motor adaptation, thereby contributing to the subjective burden of CD. Abnormal fALFF values in these regions may indicate a more widespread disruption of the neural networks that integrate sensory, motor, and cognitive processes, which may underlie the complex behavioral and emotional symptoms of adolescent CD. These findings provide new insights into the neurobiological basis of adolescent CD patients. Prior adult studies have not emphasized temporal lobe alterations, possibly due to age-related neural plasticity differences. The current results highlight age-dependent changes in brain regions critical for emotional regulation (e.g., temporal gyrus) and self-awareness (precuneus), whereas adult studies focus more on sensorimotor and frontal lobe networks. This underscores the need for age-stratified CD neuroimaging research. The discrepancy between adult and adolescent ALFF patterns suggests that CD-related brain alterations may emerge during critical neurodevelopmental stages, influencing long-term emotional comorbidity risk.</p>
<p>In this study, the ALFF-derived connectivity maps demonstrated significantly enhanced functional coupling between the PCUN. L and both STG. L and ITG. L. The PCUN. L is a hub of the default mode network (DMN), governing self-referential processing and episodic memory. Its hyperconnectivity with STG. L and ITG. L&#x2014;regions critical for social cognition and auditory-emotional integration (<xref ref-type="bibr" rid="ref20">Gernsbacher and Kaschak, 2003</xref>)&#x2014;suggests maladaptive coupling between self-focused rumination and socioemotional processing. This may underpin excessive symptom monitoring and interpersonal sensitivity observed in CD adolescents. Meanwhile, the fALFF-derived connectivity maps demonstrated significantly enhanced functional coupling between the SFGmed. L and both CAL. L, and Vermis_10. The SFGmed. L supports executive control and emotion regulation (<xref ref-type="bibr" rid="ref16">Devita et al., 2025</xref>). Its hyperconnectivity with visual cortex and cerebellar vermis&#x2014;a region implicated in visceromotor and affective modulation (<xref ref-type="bibr" rid="ref43">Stoodley and Tsai, 2021</xref>)&#x2014;indicates dysregulated integration of sensory input with top-down cognitive control, potentially contributing to anxiety and somatic preoccupation. Moreover, FC in these brain regions has also been altered in adolescent CD patients, which is partly consistent with previous studies (<xref ref-type="bibr" rid="ref33">Mallio et al., 2020</xref>; <xref ref-type="bibr" rid="ref45">Thapaliya et al., 2023</xref>). This suggests that changes in underlying neural activity (reflected by ALFF and fALFF) may potentially drive the observed FC changes. Alterations in FC across multiple brain regions may manifest as heightened sensitivity to visceral sensory information (<xref ref-type="bibr" rid="ref26">Langhammer et al., 2025</xref>), such as increased symptom monitoring, heightened vigilance, and anxiety about anticipated abdominal pain, cramps, and diarrhea.</p>
<p>The ALFF and fALFF indices in these brain regions are correlated with emotional symptoms scores, which also illustrate this point to some extent. In adolescent CD patients, the abnormal increase in FC in these regions may indicate compensatory mechanisms for underlying neuropathology. Understanding these relationships between neural activity and connectivity is crucial for deciphering the complex pathophysiology of CD. The hyperconnectivity between DMN nodes and social-cognitive regions may amplify salience attribution to visceral sensations, fostering catastrophic appraisals of symptoms. Concurrently, weakened connectivity between SFGmed. L and cerebellar vermis could impair downregulation of limbic arousal. Our study identifies ALFF values increased in left superior temporal gyrus and inferior temporal gyrus, but decreased in left precuneus gyrus. Reduced ALFF in the left precuneus aligns with <xref ref-type="bibr" rid="ref27">Li et al. (2021)</xref>, while <xref ref-type="bibr" rid="ref4">Bao et al. (2018)</xref> reported default mode network alterations encompassing this region, suggesting a consistent role of the DMN in CD-related emotional dysregulation.</p>
<p>Furthermore, our correlation analyses revealed clinically meaningful associations between aberrant neural activity and both emotional symptoms and disease biomarkers. Specifically, the ALFF value in the ITG. L demonstrated a negative correlation with obsessive-compulsive symptoms, depression, and anxiety, while exhibiting a positive correlation with serum albumin levels. Similarly, the ALFF in the STG. L was negatively correlated with CRP and positively correlated with albumin. These findings suggest that increased inflammation (reflected by elevated CRP) and malnutrition (indicated by hypoalbuminemia) may contribute to dysregulated neural activity in temporal regions involved in social cognition and auditory processing. Conversely, reduced ALFF in these regions correlates with heightened psychopathological burden, reinforcing the role of the temporal cortex in mediating gut-brain interactions in adolescent CD. Inflammation in the gut may release cytokines and other immune mediators that can cross the blood brain barrier and affect neural function (<xref ref-type="bibr" rid="ref1">Agirman et al., 2021</xref>). Additionally, medications used in CD can modulate inflammatory markers and brain activity, which were not controlled for in this cross-sectional design. Future longitudinal studies with detailed inflammatory profiling are needed to disentangle the specific contributions of gut-derived inflammation to neural alterations. Collectively, these results position the temporal gyri as critical neural interfaces bridging gastrointestinal pathophysiology and behavioral comorbidities, potentially implicating neuroinflammatory pathways in the gut-brain axis. The positive correlations between fALFF in Vermis and emotional symptoms scores, including interpersonal sensitivity, depression, paranoid, and psychoticism, further emphasize the link between brain function and emotional well-being in CD patients. The cerebellum is increasingly recognized for its role in emotional regulation and cognitive processing (<xref ref-type="bibr" rid="ref47">Turner et al., 2007</xref>). This relationship also highlights the potential for targeting the cerebellum in the development of novel therapeutic interventions for CD, such as non-invasive brain stimulation techniques.</p>
<p>There are still some limitations of our study. Firstly, the cross-sectional design precludes temporal inferences; longitudinal investigations are required to delineate the evolution of observed changes. Secondly, our cohort exhibited pronounced male predominance, and heterogeneous pharmacotherapy regimens initiated prior to enrollment were present. These pharmacological interventions may confound normative cerebral metabolism through diverse pathways, consequently exerting differential effects on neurofunctional activity. Third, while we selected well-validated measures for adolescent populations, the IBDQ&#x2019;s original validation in adolescent requires cautious interpretation of quality-of-life metrics in this transitional age group. Our findings reflect subclinical emotional symptoms measured by SCL-90, not diagnosed psychiatric symptoms. Future studies should incorporate structured clinical interviews to assess symptoms comorbidity. Methodologically, seed-based FC analyses identify temporal correlations between neural regions but cannot establish directional influences. Finally, the modest sample size inherently constrains statistical power to detect subtle neurofunctional alterations and precludes robust subgroup analyses (e.g., active vs. quiescent disease, depression comorbidity status) that might elucidate phenotype-specific neural signatures. Future expanded longitudinal cohorts, stratified by sex and medication status, should track neurofunctional trajectories alongside molecular profiling to establish mechanistic links between gut inflammation and neural circuit dysregulation.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, our study found that adolescent CD patients showed altered emotional symptoms, and their intrinsic brain function, which may relate to behavioral issues, was also affected. Future research should focus on exploring the underlying mechanisms, and developing targeted interventions based on these insights.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Declaration of Helsinki, this study was approved by the institutional ethics committee of Union Hospital of Tongji Medical College, Huazhong University of Science and Technology (Approval number 2023: 0940&#x2013;01). All participants signed informed consent forms. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec22">
<title>Author contributions</title>
<p>AL: Validation, Writing &#x2013; review &#x0026; editing, Methodology, Formal analysis, Software, Data curation, Visualization, Conceptualization, Writing &#x2013; original draft. MH: Writing &#x2013; review &#x0026; editing, Software, Validation, Formal analysis, Methodology, Visualization. XD: Writing &#x2013; review &#x0026; editing, Methodology, Validation, Data curation, Visualization, Formal analysis. SH: Formal analysis, Writing &#x2013; review &#x0026; editing, Methodology, Validation, Conceptualization, Resources. KX: Resources, Data curation, Funding acquisition, Formal analysis, Conceptualization, Methodology, Validation, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by National Natural Science Foundation of China, grant number 82270609, Natural Science Foundation of Hubei province, grant number 2024AFD090 and Fundamental Research Funds for the Central Universities, grant number YCJJ20252426.</p>
</sec>
<ack>
<p>We are grateful all the subjects and their families who participated in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<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="sec25">
<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="sec26">
<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>
<sec sec-type="supplementary-material" id="sec27">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnins.2025.1622708/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnins.2025.1622708/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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