Psychiatry Research: Neuroimaging最新文献

{"title":"Quantitative brain regional relaxometry metrics for early diagnosis of Parkinson's disease","authors":"Miao Chen ,&nbsp;PuYeh Wu ,&nbsp;Wenjia Wang ,&nbsp;YiFei Zhang ,&nbsp;Rui Zhang ,&nbsp;Jinpeng Qi ,&nbsp;Zhibo Liang ,&nbsp;Lihong Gao ,&nbsp;Gang Zhang","doi":"10.1016/j.pscychresns.2025.112120","DOIUrl":"10.1016/j.pscychresns.2025.112120","url":null,"abstract":"<div><h3>Background</h3><div>The early identification of Parkinson's disease (PD) prior to the emergence of motor symptoms is paramount for effective treatment and mitigation of disease progression. Moreover, early predictions and assessments of disease progression in certain patients are critical for timely clinical interventions.</div></div><div><h3>Purpose</h3><div>This study investigates the neuroanatomical alterations in various brain regions during the initial stages and progression of PD, to explore the potential of quantitative regional metrics as candidate imaging markers for early diagnosis and disease progression.</div></div><div><h3>Materials and Methods</h3><div>We enrolled 31 PD patients and 25 healthy controls (HCs), categorizing PD patients into early-stage Parkinson's (ESP) (<em>n</em> = 22) and advanced-stage Parkinson's (ASP)(<em>n</em> = 9) based on the Hoehn and Yahr grading. The study employed 3D T1BRAVO and synthetic MRI for data acquisition, followed by voxel-based morphometry (VBM) and extraction of T1, T2, and proton density (PrD) values. Comparative analysis of brain volume and regional relaxation metrics was performed among the groups. A classification model based on regions showing significant group differences was evaluated using internal cross-validation.</div></div><div><h3>Results</h3><div>Significant variations were identified in specific brain regions when comparing the ESP group with HCs, particularly in the right Calcarine_T1GM and left Cuneus_T1GM regions. Additionally, notable differences were discerned between the ESP group and the ASP group, specifically in the left Putamen_T1GM, left ParaHippocampal_T1WM, Precentral_T2WM, left ParaHippocampal_T2WM, Anterior Cingulate Cortex (ACC)_T2WM, and left Putamen_PDGM regions. Scatter plot analysis revealed a strong correlation between these brain regions (with the exception of left ParaHippocampal_T2WM and left Putamen_PDGM) and both the Hoehn and Yahr (H&amp;Y) and Movement Disorder Society (MDS) scores. Under internal cross-validation, T1-based gray-matter regional metrics demonstrated the most stable discriminative performance among the evaluated modalities. Cross-validated classification performance was moderate, particularly for distinguishing ESP from ASP, indicating limited but potentially informative progression-related signals.</div></div><div><h3>Conclusion</h3><div>Synthetic MRI–derived regional relaxometry reveals stage-related brain alterations in PD. T1-based gray-matter metrics show relatively robust performance under internal validation and may serve as candidate imaging markers associated with early disease-related changes and progression in Parkinson’s disease. However, all classification results should be regarded as exploratory and warrant further validation in larger, independent cohorts.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112120"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinct subcortical connectivity patterns of opioid and stimulant use disorders: A resting-state fMRI study","authors":"Neli Atanasova ,&nbsp;Anna Todeva-Radneva ,&nbsp;Kristina Stoyanova ,&nbsp;Elena Psederska ,&nbsp;Elizabet Dzhambazova ,&nbsp;Drozdstoy Stoyanov ,&nbsp;Nikoleta Traykova ,&nbsp;Jasmin Vassileva","doi":"10.1016/j.pscychresns.2025.112116","DOIUrl":"10.1016/j.pscychresns.2025.112116","url":null,"abstract":"<div><div>This study investigated resting-state functional connectivity (rsFC) patterns in individuals with opioid use disorder (OUD), stimulant use disorder (StUD) and healthy controls (HC). Using seed-based analysis of key subcortical regions, we found distinct connectivity profiles associated with each substance type. OUD showed reduced connectivity between limbic/basal ganglia structures and sensorimotor regions, along with increased pallidum-angular gyrus connectivity compared to HC. StUD exhibited decreased striatal-default mode network and limbic-prefrontal connectivity relative to HC. Direct comparison between OUD and StUD revealed widespread corticostriatal, striato-cerebellar, and prefrontal-limbic hyperconnectivity in OUD compared to StUD. These substance-specific alterations in intrinsic brain organization may reflect differential neuroadaptations underlying the cognitive and behavioral manifestations of opioid versus stimulant use disorders. Our findings highlight the potential of rsFC patterns as a biomarker for distinguishing among different subtypes of addiction and informing targeted interventions.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112116"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cortical thickness associated with past year mood episode in major depressive and bipolar disorders","authors":"Kayla A. Mackenzie ,&nbsp;Ashley A. Heywood ,&nbsp;Jinhyeong Bae ,&nbsp;Mindy Westlund Schreiner ,&nbsp;Jonathan P. Stange ,&nbsp;Leo Chen ,&nbsp;Elizabeth H.X. Thomas ,&nbsp;Andris Cerins ,&nbsp;Lei Wang ,&nbsp;Scott A. Langenecker ,&nbsp;Lisanne M. Jenkins","doi":"10.1016/j.pscychresns.2026.112158","DOIUrl":"10.1016/j.pscychresns.2026.112158","url":null,"abstract":"<div><h3>Background</h3><div>Major depressive disorder and bipolar disorder are affective disorders that carry substantial disease burdens, yet the structural brain alterations due to recent mood episodes remain unclear. To identify acute effects on brain structure, we compared cortical thickness in adults with and without a mood episode in the past year.</div></div><div><h3>Methods</h3><div>Participants were 30 adults who met lifetime DSM-5 criteria for MDD (n=21) or BD (n=9), divided into a Past Year Mood Episode (PYME) group (n=18), and no-PYME group (n=12). Participants completed the Hamilton Rating Scale for Depression (HAM-D), Young Mania Rating Scale (YMRS) and the semi-structural Longitudinal Interval Follow-up Evaluation (LIFE) interview over the year preceding their structural MRI.</div></div><div><h3>Results</h3><div>The PYME group exhibited greater cortical thickness than the no-PYME group in the left medial orbitofrontal cortex, bilateral V1 primary visual cortex (more extensive in the left hemisphere than the right), left V3 and right V2 visual cortices, and the bilateral hippocampus and left presubiculum.</div></div><div><h3>Conclusion</h3><div>Recent mood episodes are linked to increased cortical thickness, possibly reflecting acute compensatory inflammatory responses. Cortical thickness thus shows promise as a transdiagnostic biomarker of recent mood episodes, aiding interpretation of studies that include individuals who are currently euthymic but recently symptomatic.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112158"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach","authors":"Azizeh Akbari ,&nbsp;Mahda Nasrolahzadeh ,&nbsp;Javad Haddadnia","doi":"10.1016/j.pscychresns.2026.112151","DOIUrl":"10.1016/j.pscychresns.2026.112151","url":null,"abstract":"<div><div>Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal classifiers and poor image representation hinder their effectiveness. Computer-aided diagnosis (CADx) can improve performance by classifying patterns. Despite the drawbacks of deep networks such as Visual Geometric Group (VGG), including long processing times and performance issues due to data distribution, many CADx systems still rely on VGG classifiers due to their potential for high accuracy when properly trained. To tackle these issues, this paper introduces two novel deep networks, called optimized VGG-16 (OVGG-16) and optimized VGG-19 (OVGG-19), in light of the concepts of transfer learning and dense layers to improve diagnosis performance. The proposed system was developed for the diagnosis of AD employing the OVGG-16 and OVGG-19 networks as classifiers from rs-fMRI images. The results show that the convergence rate of the proposed OVGG-16 and OVGG-19 networks is more rapid than that of the conventional VGG-16 and VGG-19. Moreover, the proposed system, which uses the OVGG-16 network, yielded a high accuracy of 100% and 98.83% for binary and multiclass classification, respectively, which surpasses existing state-of-the-art approaches.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112151"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances on the application of the Human Brainnetome Atlas in obsessive-compulsive disorder","authors":"Aosong Chen ,&nbsp;Fujian Chen ,&nbsp;Chenchen Zhang ,&nbsp;Rui Li ,&nbsp;Liju Qian ,&nbsp;Cong Zhou ,&nbsp;Bin Wang ,&nbsp;Kun Li","doi":"10.1016/j.pscychresns.2026.112149","DOIUrl":"10.1016/j.pscychresns.2026.112149","url":null,"abstract":"<div><div>Obsessive-compulsive disorder (OCD) is a chronic psychiatric disorder characterized by persistent intrusive thoughts and repetitive behaviors, significantly impacting patients' quality of life, social functioning, and overall well-being. Recent advances in neuroimaging techniques, particularly the development and application of the Human Brainnetome Atlas (BNA), have provided precise structural and functional subdivisions of the human brain, greatly enhancing the understanding of OCD neuropathology. This review comprehensively summarizes the latest applications of BNA in OCD research, specifically emphasizing detailed analyses of structural and functional connectivity abnormalities within neural circuits, their associations with clinical symptoms, and potential mechanisms underlying these abnormalities. Additionally, the utility of BNA in classifying patient subtypes based on distinct neurobiological profiles and its role in facilitating early diagnostic interventions are discussed. Methodological limitations are also addressed, underscoring the necessity of controlling confounding variables, such as pharmacological treatments and clinical heterogeneity, to strengthen research outcomes. Finally, future research directions are proposed, including the integration of BNA with advanced technologies such as artificial intelligence, multimodal imaging methods, and individualized neuromodulation strategies, to further refine and expand precision medicine approaches in OCD management.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112149"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“Summertime sadness”: Striatal dopamine binding decreases during warmer seasons in patients with severe depression","authors":"Antonio Maria D’Onofrio ,&nbsp;Daniela Di Giuda ,&nbsp;Eleonora Maggio ,&nbsp;Daniele Antonio Pizzuto ,&nbsp;Fabrizio Cocciolillo ,&nbsp;Federica Cavallo ,&nbsp;Rosaria Calia ,&nbsp;Alessio Simonetti ,&nbsp;Delfina Janiri ,&nbsp;Alexia Koukopoulos ,&nbsp;Mauro Pettorruso ,&nbsp;Giovanni Martinotti ,&nbsp;Gabriele Sani ,&nbsp;Giovanni Camardese","doi":"10.1016/j.pscychresns.2026.112145","DOIUrl":"10.1016/j.pscychresns.2026.112145","url":null,"abstract":"<div><h3>Background and aim</h3><div>Seasonal changes, particularly increased daylight exposure, are known to influence dopamine transporter (DAT) availability, potentially affecting mood disorders such as major depressive disorder (MDD). This study aimed to evaluate seasonal variations in the striatum using ¹²³I-FP-CIT SPECT in patients with MDD, and examine associations with specific psychopathological symptoms.</div></div><div><h3>Methods</h3><div>In this retrospective study, DAT SPECT scans from 85 patients with MDD were analyzed according to the season of imaging—fall-winter (FW) or spring-summer (SS). Psychometric assessments included the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), Snaith-Hamilton Pleasure Scale (SHAPS), and Depression Retardation Rating Scale (DRRS).</div></div><div><h3>Results</h3><div>No overall differences in DAT availability were observed between FW and SS. However, anhedonia levels were higher in FW (p = 0.050). Patients with severe depression (HAMD ≥ 25) showed lower DAT availability in the left putamen, especially during SS (p = 0.014). Patients with marked psychomotor retardation (DRRS ≥ 18) exhibited reduced DAT availability in the left putamen (p = 0.002), with further reductions across all striatal regions during SS. Patients with suicidal ideation showed decreased DAT in the right (p = 0.029) and left putamen (p = 0.015). A negative correlation was found between DRRS scores and left putamen DAT availability (p = 0.034).</div></div><div><h3>Conclusion</h3><div>Reduced DAT availability is associated with key depressive symptoms, notably psychomotor retardation and suicidal ideation. Seasonal effects, especially in the SS period, may exacerbate dopaminergic dysregulation. These findings support integrating seasonal and neurobiological factors in the assessment and management of severe MDD.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112145"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formal thought disorder and familial risk in first-episode psychosis: A study of cortical thickness and neuroimaging-transcriptomic association analysis","authors":"Tuğçe Çabuk ,&nbsp;Yuanchao Zhang ,&nbsp;Lena Palaniyappan ,&nbsp;Didenur Şahin-Çevik ,&nbsp;Hanife Avcı ,&nbsp;Işık Batuhan Çakmak ,&nbsp;Helin Yılmaz Kafalı ,&nbsp;Bedirhan Şenol ,&nbsp;Kader Karlı Oğuz ,&nbsp;Timothea Toulopoulou","doi":"10.1016/j.pscychresns.2026.112148","DOIUrl":"10.1016/j.pscychresns.2026.112148","url":null,"abstract":"<div><div>Formal thought disorder (FTD), a prominent feature of schizophrenia, encompasses disruptions in thought, language, and communication. This study examines cortical thickness (CT) alterations in first-episode psychosis (FEP) patients (<em>N</em> = 24), their siblings (SIB) (<em>N</em> = 21), and healthy controls (CON) (<em>N</em> = 21) to explore potential neural correlates of FTD. Using structural MRI, we analyzed whole-brain CT and its relationship with positive and negative FTD measured by Thought and Language Index. Out-of-sample spatial correlations of gene expression with regional CT were also performed using a transcriptomic dataset. FEP had significant CT reductions in right middle frontal gyrus (MFG) compared with SIB and CON and in superior frontal gyrus (SFG) compared to CON; but SIB did not differ from CON. GLM analyses demonstrated that negative FTD exerted a significant main effect on CT in the MFG and SFG. By contrast, positive FTD showed no significant associations with CT. Neuroimaging-transcriptomic association analysis identified key biological pathways linked to cortical morphology. These findings emphasize the specific association between negative FTD and CT alterations in frontal brain regions, confirming prior reports. Future research should examine larger cohorts and investigate additional FTD subtypes to further elucidate neural correlates and potential familial risks of schizophrenia.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112148"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural correlates of auditory verbal hallucinations in patients with borderline personality disorder","authors":"Mert Koc ,&nbsp;Marie-Luise Otte ,&nbsp;Mike M. Schmitgen ,&nbsp;Nadine D. Wolf ,&nbsp;Yunus Balcik ,&nbsp;Chantal Tech ,&nbsp;Yéléna Le Prieult ,&nbsp;Robert C. Wolf","doi":"10.1016/j.pscychresns.2026.112159","DOIUrl":"10.1016/j.pscychresns.2026.112159","url":null,"abstract":"<div><h3>Background</h3><div><strong>:</strong> Borderline personality disorder (BPD) is a severe psychiatric condition marked by disturbances in self-image, affect regulation, and interpersonal functioning. Up to 54% of individuals with BPD experience psychotic symptoms, particularly auditory verbal hallucinations (AVH). While AVH's neural correlates have been studied in schizophrenia (SZ), their structural basis in BPD remains poorly understood within a transdiagnostic framework.</div></div><div><h3>Methods</h3><div><strong>:</strong> This cross-sectional study used voxel-based morphometry (VBM) on MRI data to assess gray matter volume (GMV) in BPD patients with AVH (<em>n</em> = 20), without AVH (<em>n</em> = 26), and healthy controls (HC; <em>n</em> = 30). The Psychotic Symptom Rating Scale (PSYRATS) assessed AVH severity. Analyses included factorial group models, small-volume correction for regions of interest, and regression analyses.</div></div><div><h3>Results</h3><div><strong>:</strong> Compared to HC, BPD patients exhibited GMV reductions in primary motor, frontal, parietal, cingulate, and cerebellar cortices. BPD with AVH showed additional reductions in primary motor, frontal, parietal and occipital cortices relative to those without AVH and HC. In BPD with AVH, PSYRATS total scores negatively correlated with GMV in temporal, parietal, cingulate, primary motor, and cerebellar regions.</div></div><div><h3>Conclusions</h3><div><strong>:</strong> These findings reveal structural correlates of AVH in BPD, implicating sensorimotor, executive, and affective networks. The overlap with SZ-associated cortical patterns suggests transdiagnostic neural mechanisms and shared pathophysiological substrates of AVH.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112159"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abnormal spatial and temporal concordance between local spontaneous intrinsic brain activity measures across three major psychiatric disorders","authors":"Tao Cheng ,&nbsp;Heng Niu ,&nbsp;Lijuan Zhao ,&nbsp;Yuan Liu ,&nbsp;Yong Dou ,&nbsp;Lin Zhang ,&nbsp;Guiquan Wang ,&nbsp;Qiong Hu ,&nbsp;Fan Zhang ,&nbsp;Weirong Li","doi":"10.1016/j.pscychresns.2026.112161","DOIUrl":"10.1016/j.pscychresns.2026.112161","url":null,"abstract":"<div><div>Fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) are frequently used to assess local spontaneous brain activity and identify functional abnormalities in schizophrenia (SZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD), yet their spatial and temporal coupling alterations in these psychiatric disorders remain unclear. Here, resting-state functional MRI data were collected from a sample of patients with SZ, BD, and ADHD as well as healthy controls. Kendall’s W was utilized to calculate volume-wise and voxel-wise concordance between fALFF and ReHo, followed by performance of group comparisons. Results showed that SZ and BD had decreased volume-wise concordance relative to ADHD and controls. Compared with controls, SZ showed decreased voxel-wise concordance in broadly distributed gray matter areas, and BD demonstrated localized voxel-wise concordance decrease in the anterior cingulate cortex. Additionally, direct comparisons between disorders revealed that SZ exhibited decreased voxel-wise concordance in the prefrontal and occipital cortex relative to BD, and widespread voxel-wise concordance decrease in the prefrontal, occipital and temporal regions relative to ADHD. BD showed circumscribed voxel-wise concordance decrease in the supramarginal gyrus relative to ADHD. These findings suggest different patterns of spatial and temporal decoupling between local intrinsic brain activity measures across these major psychiatric disorders.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112161"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abnormal dynamic functional connectivity in different gray matter volume subtypes of patients with major psychiatric disorders","authors":"Shancong Li ,&nbsp;Weiqi Qin ,&nbsp;Siyi Wei ,&nbsp;Bo Li ,&nbsp;Jiahui Leng ,&nbsp;Jian Xiao ,&nbsp;Yunhui Chen ,&nbsp;Tinghuizi Shang ,&nbsp;Tong Li ,&nbsp;Yu Jiao ,&nbsp;Zengyan Yu ,&nbsp;Wanqiang Liu ,&nbsp;Chengchong Li ,&nbsp;Na Wang ,&nbsp;Lu Kang ,&nbsp;Danhe Sun ,&nbsp;Yuhuan Zhao ,&nbsp;Sidi Lu ,&nbsp;Weidong Sun ,&nbsp;Ping Li","doi":"10.1016/j.pscychresns.2026.112162","DOIUrl":"10.1016/j.pscychresns.2026.112162","url":null,"abstract":"<div><h3>Background</h3><div>Major psychiatric disorders (MPDs), including schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD), have been classified as distinct diagnostic categories based on clinical symptoms. However, neuroimaging studies suggest that these MPDs share similar brain structure and functional characteristics. The present study aim to explore potential subtypes of MPDs based on gray matter volume (GMV) in a trans-diagnostic sample.</div></div><div><h3>Methods</h3><div>We involved 84 patients with MPDs (22 SZ, 22 BD, 18 MDD, 22 OCD) and 39 healthy controls (HCs). Voxel-based morphometry (VBM) and dynamic functional connectivity (dFC) analyses were used to investigate the GMV and the dynamic characteristics of the whole brain at rest. The heterogeneity through discriminant analysis (HYDRA) approach was applied to identify the subtypes of MPDs.</div></div><div><h3>Results</h3><div>Two distinct subtypes were identified, subtype-I (S-I) showed increased GMVs in subcortical brain regions, while subtype-II (S-II) displayed decreased GMVs in cerebral cortex regions. Both S-I and S-II patients showed reduced dFC values within the connected edges at rest. The negative correlation between total GMVs and disease duration were observed in S-II patients.</div></div><div><h3>Conclusions</h3><div>The present results may contribute to understand the pathogenesis and biological classification of MPDs.</div></div>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"357 ","pages":"Article 112162"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}