Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Using Behavior to Catch Early Signs of Brain Degeneration","authors":"George J. Augustine","doi":"10.1016/j.bpsc.2025.11.001","DOIUrl":"10.1016/j.bpsc.2025.11.001","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 3-4"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parsing Autism Heterogeneity: Transcriptomic Subgrouping of Imaging-Derived Phenotypes in Autism","authors":"Johanna Leyhausen ,&nbsp;Caroline Gurr ,&nbsp;Lisa M. Berg ,&nbsp;Hanna Seelemeyer ,&nbsp;Bassem Hermila ,&nbsp;Tim Schäfer ,&nbsp;Andreas G. Chiocchetti ,&nbsp;Charlotte M. Pretzsch ,&nbsp;Eva Loth ,&nbsp;Bethany Oakley ,&nbsp;Jan K. Buitelaar ,&nbsp;Christian F. Beckmann ,&nbsp;Tony Charman ,&nbsp;Thomas Bourgeron ,&nbsp;Eli Barthome ,&nbsp;Tobias Banaschewski ,&nbsp;Emily J.H. Jones ,&nbsp;EU-AIMS LEAP Group,&nbsp;Declan Murphy ,&nbsp;Christine Ecker","doi":"10.1016/j.bpsc.2025.07.001","DOIUrl":"10.1016/j.bpsc.2025.07.001","url":null,"abstract":"<div><h3>Background</h3><div>Neurodevelopmental conditions, such as autism, are highly heterogeneous at both the mechanistic and phenotypic levels. Therefore, parsing heterogeneity is vital for uncovering underlying processes that could inform the development of targeted, personalized support. We aimed to parse heterogeneity in autism by identifying subgroups that converge at both the phenotypic and molecular levels.</div></div><div><h3>Methods</h3><div>An imaging transcriptomics approach was used to link neuroanatomical imaging-derived phenotypes in autism to whole-brain gene expression signatures provided by the Allen Human Brain Atlas. Neuroimaging and clinical data of 359 autistic participants ages 6 to 30 years were provided by EU-AIMS (European Autism Interventions) LEAP (Longitudinal European Autism Project). Individuals were stratified using data-driven clustering techniques based on the correlation between brain phenotypes and transcriptomic profiles. The resulting subgroups were characterized on the clinical, neuroanatomical, and molecular levels.</div></div><div><h3>Results</h3><div>We identified 3 subgroups of autistic individuals based on the correlation between imaging-derived phenotypes and transcriptomic profiles that showed different clinical phenotypes. The individuals with the strongest transcriptomic associations with imaging-derived phenotypes showed the lowest level of symptom severity. The gene sets most characteristic for each subgroup were significantly enriched for genes previously implicated in autism etiology, including processes such as synaptic transmission and neuronal communication, and mapped onto different gene ontology categories.</div></div><div><h3>Conclusions</h3><div>Autistic individuals can be subgrouped based on the transcriptomic signatures associated with their neuroanatomical fingerprints, which reveal subgroups that show differences in clinical measures. The study presents an analytical framework for linking neurodevelopmental and clinical diversity in autism to underlying molecular mechanisms, thus highlighting the need for personalized support strategies.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 80-90"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural Rewiring of Resilience: The Effects of Combat Deployment on Functional Network Architecture","authors":"Noga Yair ,&nbsp;Tom Zalmenson ,&nbsp;Omer Azriel ,&nbsp;Dana Shamai-Leshem ,&nbsp;Yaron Alon ,&nbsp;Niv Tik ,&nbsp;Lucian Tatsa-Laur ,&nbsp;Ariel Ben-Yehuda ,&nbsp;Daniel S. Pine ,&nbsp;Anderson M. Winkler ,&nbsp;Ido Tavor ,&nbsp;Yair Bar-Haim","doi":"10.1016/j.bpsc.2024.12.017","DOIUrl":"10.1016/j.bpsc.2024.12.017","url":null,"abstract":"<div><h3>Background</h3><div>Although combat-deployed soldiers are at high risk for developing trauma-related psychopathology, most will remain resilient for the duration and aftermath of their deployment tour. The neural basis of this type of resilience is largely unknown, and few longitudinal studies exist on neural adaptation to combat in resilient individuals for whom a pre-exposure measurement was collected. Here, we delineate changes in the architecture of functional brain networks from pre- to postcombat in psychopathology-free, resilient participants.</div></div><div><h3>Methods</h3><div>Tier 1 infantry recruits (<em>n</em> = 50) participated in this longitudinal, functional magnetic resonance imaging study together with a comparison group of university students (<em>n</em><span> = 50). Changes in within- and between-network functional connectivity were analyzed as a function of exposure group.</span></div></div><div><h3>Results</h3><div>Significant group × time interactions manifested in the default mode, cognitive control, and ventral attention networks; significant increases from baseline in both within- and between-network connectivity were noted postdeployment in soldiers only.</div></div><div><h3>Conclusions</h3><div>These results indicate global changes in brain functional architecture in resilient combat-deployed participants relative to age-matched students, suggesting that neural adaptation may support resilience to combat exposure.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 39-47"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurophysiological Markers of Regulation Success in Everyday Life in Depression","authors":"Jonathan P. Stange ,&nbsp;Ellie P. Xu ,&nbsp;Sarah L. Zapetis ,&nbsp;Jiani Li ,&nbsp;Lisanne Jenkins ,&nbsp;Jagan Jimmy ,&nbsp;Zihua Ye ,&nbsp;Pia Sellery ,&nbsp;Coralie S. Phanord ,&nbsp;Erika Forbes ,&nbsp;Timothy J. Trull ,&nbsp;Robin J. Mermelstein ,&nbsp;Olusola Ajilore","doi":"10.1016/j.bpsc.2025.01.004","DOIUrl":"10.1016/j.bpsc.2025.01.004","url":null,"abstract":"<div><h3>Background</h3><div>Self-regulation is often disrupted in depression and is characterized by negative affect and inflexible parasympathetic responses. However, our understanding of brain mechanisms of self-regulatory processes has largely been limited to laboratory contexts. Measuring individual differences in self-regulatory processes in everyday life—and their neural correlates—could inform our understanding of depression phenotypes and reveal novel intervention targets that impact everyday functioning.</div></div><div><h3>Methods</h3><div><span>In individuals with remitted major depressive disorder and healthy comparison participants (</span><em>N</em><span> = 74), we measured 2 dimensions of regulation success in everyday life—perceived success with regulating affect and physiological success (parasympathetic augmentation following regulation attempts)—and their neural correlates using a functional magnetic resonance imaging emotion regulation task.</span></div></div><div><h3>Results</h3><div><span>Perceptions of success were weakly associated with physiological success and had partially distinct neural correlates. Perceived success and physiological success in everyday life predicted reduced activity in brain regions involved in emotional salience while reacting to aversive stimuli in the scanner. During reappraisal in the scanner, greater perceived success in everyday life was dimensionally associated with more reappraisal-related activity in regions involved in cognitive control (including the dorsolateral and dorsomedial prefrontal cortices); in contrast, physiological success predicted enhanced downregulation of </span>salience network activity (amygdala, insula).</div></div><div><h3>Conclusions</h3><div>Results suggest that linking psychophysiology<span> with behavior in everyday life can provide a window into dissociable dimensions of self-regulatory functioning. Integrating ambulatory and brain-based metrics may elucidate self-regulatory phenotypes with distinct neurophysiological mechanisms and targets for intervention to impact functioning in daily life.</span></div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 58-69"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial Discrimination–Related Interoceptive Network Disruptions: A Pathway to Disconnection","authors":"Aziz Elbasheir ,&nbsp;Rachel Bond ,&nbsp;Nathaniel G. Harnett ,&nbsp;Alfonsina Guelfo ,&nbsp;Maya C. Karkare ,&nbsp;Travis M. Fulton ,&nbsp;Timothy D. Ely ,&nbsp;Timothy J. McDermott ,&nbsp;Ruth A. Lanius ,&nbsp;Vishwadeep Ahluwalia ,&nbsp;Bekh Bradley ,&nbsp;Greg J. Siegle ,&nbsp;Negar Fani","doi":"10.1016/j.bpsc.2024.12.011","DOIUrl":"10.1016/j.bpsc.2024.12.011","url":null,"abstract":"<div><h3>Background</h3><div>Racial discrimination (RD) disrupts regulatory systems in minoritized individuals, particularly systems that govern attention, including attention to visceral signals (interoception). RD frequency is linked to physiological shutdown responses, characterized clinically by dissociation. We examined associations between RD frequency and functional connectivity of attention and interoceptive networks in a sample of trauma-exposed Black women, investigating potential links between connectivity and dissociation severity.</div></div><div><h3>Methods</h3><div>Seventy-two Black women who were recruited as part of two trauma studies underwent magnetic resonance imaging during performance of an affective Stroop (AS) task and completed dissociation and RD measures. Generalized psychophysiological interaction analyses were used to examine seed-to-voxel (seeds: bilateral amygdala and insula) functional connectivity with RD as a regressor; connectivity was examined during presentation of threat-relevant versus neutral AS distractor images. Connectivity values were extracted from significant clusters and examined in association with dissociative symptoms. We also investigated connectivity in association with posttraumatic stress disorder (PTSD) symptoms for comparison analyses.</div></div><div><h3>Results</h3><div>During attention to threat-relevant AS trials, greater RD frequency was associated with less insula connectivity to several medial prefrontal cortex (mPFC) clusters (false discovery rate–corrected <em>p</em>s &lt; .05). Insula-mPFC connectivity was significantly and negatively associated with derealization symptoms (<em>r</em> = −0.31, <em>p</em> = .009), but not PTSD (<em>r</em> = −0.16, <em>p</em> = .182).</div></div><div><h3>Conclusions</h3><div>RD frequency was linked to reduced functional connectivity between the insula and mPFC, 2 interoceptive network nodes, during attention to threat, and diminished connectivity was linked to more severe dissociation. RD may interrupt interoceptive network functioning, and these network alterations may, in turn, influence mind-body disconnection, or physiological shutdown response in Black individuals.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 30-38"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural Covariance of Early Visual Cortex Is Negatively Associated With Posttraumatic Stress Disorder Symptoms: A Mega-Analysis From the ENIGMA PTSD Working Group","authors":"Nathaniel G. Harnett ,&nbsp;Soumyaa Joshi ,&nbsp;Poornima Kumar ,&nbsp;Courtney Russell ,&nbsp;Daniel G. Dillon ,&nbsp;Justin T. Baker ,&nbsp;Diego A. Pizzagalli ,&nbsp;Milissa L. Kaufman ,&nbsp;Lisa D. Nickerson ,&nbsp;Neda Jahanshad ,&nbsp;Lauren E. Salminen ,&nbsp;Sophia I. Thomopoulos ,&nbsp;Jessie L. Frijling ,&nbsp;Dick J. Veltman ,&nbsp;Saskia B.J. Koch ,&nbsp;Laura Nawijn ,&nbsp;Mirjam van Zuiden ,&nbsp;Ye Zhu ,&nbsp;Gen Li ,&nbsp;Jonathan Ipser ,&nbsp;Kerry J. Ressler","doi":"10.1016/j.bpsc.2025.07.005","DOIUrl":"10.1016/j.bpsc.2025.07.005","url":null,"abstract":"<div><h3>Background</h3><div>Identifying robust neural signatures of posttraumatic stress disorder (PTSD) symptoms is important to facilitate precision psychiatry and help in understanding and treatment of the disorder. Emergent research suggests that the structural covariance of early visual regions is associated with later PTSD development. However, large-scale analyses are needed in heterogeneous samples of trauma-exposed and trauma-naïve individuals to determine whether such a neural signature is a robust marker of vulnerability.</div></div><div><h3>Methods</h3><div>We analyzed data from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)-PTSD dataset (<em>N</em> = 2814) and the HCP-YA (Human Connectome Project–Young Adult) dataset (<em>N</em> = 890) to investigate whether the structural covariance of the early visual cortex is associated with either PTSD symptoms or perceived stress. Structural covariance was derived from a multimodal pattern previously identified in recent trauma survivors, and participant loadings on the profile were included in linear mixed effects models to evaluate associations with stress.</div></div><div><h3>Results</h3><div>Early visual cortex covariance loadings were negatively associated with PTSD symptoms in the ENIGMA-PTSD dataset. The relationship persisted when accounting for prior childhood maltreatment; supporting PTSD symptom specificity, no relationship was observed with depressive symptoms, and no association was observed between loadings and perceived stress measures in the HCP-YA dataset.</div></div><div><h3>Conclusions</h3><div>The structural covariance of early visual cortex was robustly associated with PTSD symptoms across an international, heterogeneous sample of trauma survivors. Future studies should aim to identify specific mechanisms that underlie structural alterations in the visual cortex to better understand posttrauma psychopathology.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 48-57"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurite Density and Kurtosis in the Gray Matter of People With Early Schizophrenia","authors":"Peter C. Van Dyken ,&nbsp;Ali R. Khan ,&nbsp;Lena Palaniyappan","doi":"10.1016/j.bpsc.2025.06.001","DOIUrl":"10.1016/j.bpsc.2025.06.001","url":null,"abstract":"<div><h3>Background</h3><div>Classic models of diffusion-weighted imaging, especially diffusion tensor imaging, are unsuitable for application to the cortical gray matter given its high microstructural complexity. As such, most neuroimaging studies have focused on gross structural effects of schizophrenia, such as cortical thickness differences. More recently developed models, such as neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI), incorporate higher-resolution data and may provide more sensitive descriptions of schizophrenia pathology with more specific interpretations.</div></div><div><h3>Methods</h3><div>We applied the NODDI and DKI models to the cortical gray matter of people with early schizophrenia (<em>n</em> = 54) and healthy control participants (<em>n</em> = 51) from the Human Connectome Project for Early Psychosis dataset. Comparisons between groups were made using region-of-interest and clustering approaches. The effect sizes of these approaches were compared with those of cortical thickness differences. We also investigated the relationship between these parameters and lifetime antipsychotic usage.</div></div><div><h3>Results</h3><div>Cortical thickness differences were most prominent between groups in terms of global effect size and spatial extent. We also observed a diffuse, right hemisphere–dominant increase in mean kurtosis and isotropic diffusion fraction throughout the gray matter, which was not fully explained by partial volume effects. Additionally, a lower neurite density index (NDI) correlated with greater lifetime antipsychotic usage.</div></div><div><h3>Conclusions</h3><div>Increases in mean kurtosis and isotropic diffusion fraction are both markers of schizophrenia, consistent with inflammation models of the gray matter in schizophrenia. NDI reduction, reflecting intraneurite pathology, becomes prominent only in individuals with greater disease burden.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 103-115"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variable Presence of an Evolutionarily New Brain Structure Is Related to Trait Impulsivity","authors":"Ethan H. Willbrand ,&nbsp;Samira A. Maboudian ,&nbsp;Matthew V. Elliott ,&nbsp;Gabby M. Kellerman ,&nbsp;Sheri L. Johnson ,&nbsp;Kevin S. Weiner","doi":"10.1016/j.bpsc.2024.11.015","DOIUrl":"10.1016/j.bpsc.2024.11.015","url":null,"abstract":"<div><h3>Background</h3><div><span><span>Impulsivity is a multidimensional construct reflecting poor constraint over one’s behaviors. Clinical psychology research has identified separable impulsivity dimensions that are each unique transdiagnostic indicators for psychopathology. However, despite this apparent clinical importance, the shared and unique neuroanatomical correlates of these factors remain largely unknown. Concomitantly, neuroimaging research has identified variably present human brain structures implicated in cognition and disorder: the folds (sulci) of the </span>cerebral cortex located in the latest-developing and most evolutionarily expanded hominoid-specific </span>association cortices.</div></div><div><h3>Methods</h3><div>We tethered these 2 fields to test whether variability in one such structure in the anterior cingulate cortex (ACC)—the paracingulate sulcus (PCGS)—was related to individual differences in trait impulsivity. A total of 120 adult participants with internalizing or externalizing psychopathology completed a magnetic resonance imaging scan and the Three-Factor Impulsivity Index. Using precision imaging techniques, we manually identified the PCGS, when present, and acquired quantitative folding metrics (PCGS length and ACC local gyrification index).</div></div><div><h3>Results</h3><div>Neuroanatomical-behavioral analyses revealed that participants with leftward or symmetrical PCGS patterns had greater severity of Lack of Follow Through (LFT)—which captures inattention and lack of perseverance—than those with rightward asymmetry. Neuroanatomical-functional analyses identified that the PCGS colocalized with a focal locus found in a neuroimaging meta-analysis on a feature underlying LFT. Neither quantitative folding metric related to any impulsivity dimension.</div></div><div><h3>Conclusions</h3><div>This study advances understanding of the neuroanatomical correlates of impulsivity and establishes the notion that the topographical organization of distinct, hominoid-specific cortical expanses underlies separable impulsivity dimensions with robust, transdiagnostic implications for psychopathology.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 8-16"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebellar Connectivity Addresses Gaps in Cognitive Deficits and Negative Symptoms in Psychosis","authors":"Katherine S.F. Damme","doi":"10.1016/j.bpsc.2025.11.006","DOIUrl":"10.1016/j.bpsc.2025.11.006","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 1","pages":"Pages 5-7"},"PeriodicalIF":4.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grief-Specific or Domain-General? Integrative Neuroimaging Perspectives for Understanding Long-Term Grief","authors":"Saren H. Seeley","doi":"10.1016/j.bpsc.2025.10.008","DOIUrl":"10.1016/j.bpsc.2025.10.008","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 12","pages":"Pages 1215-1217"},"PeriodicalIF":4.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}