Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Linking Genetics to Behavior: From Glutamatergic Genetic Variation Via Amygdala Morphology and Fear Recognition to Youths’ Callous-Unemotional Traits and Reactive-Proactive Aggression","authors":"Renee Kleine Deters ,&nbsp;I. Hyun Ruisch ,&nbsp;Jilly Naaijen ,&nbsp;Pascal-Maurice Aggensteiner ,&nbsp;Tobias Banaschewski ,&nbsp;Ulrike M.E. Schulze ,&nbsp;Michael C. Craig ,&nbsp;Arjun Sethi ,&nbsp;Josefina Castro-Fornieles ,&nbsp;Itziar Flamarique ,&nbsp;María José Penzol ,&nbsp;Daniel Brandeis ,&nbsp;Julia E. Werhahn ,&nbsp;Jeffrey C. Glennon ,&nbsp;Jan K. Buitelaar ,&nbsp;Pieter J. Hoekstra ,&nbsp;Andrea Dietrich","doi":"10.1016/j.bpsc.2025.10.012","DOIUrl":"10.1016/j.bpsc.2025.10.012","url":null,"abstract":"<div><h3>Background</h3><div>Although glutamatergic genetic variation, reduced amygdala volume, and impaired fear recognition have been linked to callous-unemotional (CU) traits and aggression, the pathways connecting these constructs remain unclear. Therefore, we examined associations between genetic proxies for glutamine/glutamate blood levels and CU traits; reactive and proactive aggression; and the mediating role of amygdala morphology and fear recognition.</div></div><div><h3>Methods</h3><div>Our pooled case-control sample consisted of 278 youths (8–18 years, <em>n</em>_male = 203) with (<em>n</em> = 177) and without (<em>n</em> = 101) clinically significant aggressive behavior and/or disruptive behavior disorders who participated in a European multicenter study. We used continuous scores for CU traits and aggression, polygenic scores (PGSs) for blood levels of glutamine/glutamate, and T1-weighted magnetic resonance images for calculating amygdala volume and vertexwise shape analyses. We applied path analysis to test direct and total associations and mediation effects.</div></div><div><h3>Results</h3><div>Glutamine PGS was negatively associated with CU traits. Glutamate PGS was positively associated with amygdala volume and fear recognition, which in turn were negatively associated with CU traits and proactive aggression; fear recognition was also associated with reactive aggression. The total path between glutamate PGS and CU traits was also significant and was mediated by fear recognition.</div></div><div><h3>Conclusions</h3><div>Our results suggest that glutamatergic genetic variation 1) is associated with CU traits; 2) is associated with amygdala volume and fear recognition; and 3) is indirectly associated with CU traits through fear recognition. Overall, we provide support for an etiological pathway underlying CU traits encompassing glutaminergic/glutamatergic genetic variation, amygdala volume, and fear recognition and the relevance of using PGSs for glutamate/glutamine blood metabolites.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 546-554"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423566","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":"Mapping the Hierarchical Brain Architecture of Functional Neurological Disorders","authors":"Nicolas A. Crossley","doi":"10.1016/j.bpsc.2026.03.014","DOIUrl":"10.1016/j.bpsc.2026.03.014","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Page 504"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147847124","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":"Subscribers' Page","authors":"","doi":"10.1016/S2451-9022(26)00101-1","DOIUrl":"10.1016/S2451-9022(26)00101-1","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Page A2"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147854897","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":"Assessment of Glymphatic System Function in Children With Tourette Syndrome Using Diffusion Tensor Image Analysis Along the Perivascular Space","authors":"Jirui Wang ,&nbsp;Tianyuan Lei ,&nbsp;Xianbin Wang ,&nbsp;Wenyan Zhang ,&nbsp;Zhongyi Liu ,&nbsp;Anyi Zhang ,&nbsp;Weiwei Men ,&nbsp;Guojun Zhang ,&nbsp;Xu Hong ,&nbsp;Yonghua Cui","doi":"10.1016/j.bpsc.2025.09.017","DOIUrl":"10.1016/j.bpsc.2025.09.017","url":null,"abstract":"<div><h3>Background</h3><div>In this study, we aimed to evaluate glymphatic system function in children with Tourette syndrome (TS) using diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) and explored its potential role in TS pathophysiology.</div></div><div><h3>Methods</h3><div>Seventy-six children with TS and 82 age- and sex-matched typically developing (TD) control participants underwent DTI scans. Glymphatic function was quantified using the ALPS index, derived from atlas-based regions of interest in the superior corona radiata and superior longitudinal fasciculus. We examined associations between the left ALPS (ALPS_L) index and clinical measures, including tic severity (Yale Global Tic Severity Scale [YGTSS]) and quality of life (Gilles de la Tourette Syndrome–Quality of Life Scale [GTS-QOL]). Mediation analysis assessed whether tic severity mediated the relationship between ALPS_L index and GTS-QOL subscales.</div></div><div><h3>Results</h3><div>The ALPS_L index was significantly reduced in the TS group compared with the TD group (<em>p</em> &lt; .05). The ALPS_L index showed significant negative correlations with YGTSS motor tic (<em>r</em> = −0.850, <em>p</em> &lt; .001), total tic (<em>r</em> = −0.702, <em>p</em> &lt; .001), and global tic (<em>r</em> = −0.629, <em>p</em> &lt; .001) severity. It was also negatively correlated with the physical/activities of daily living (ADL) (<em>r</em> = −0.265, <em>p</em> = .020) and obsessive-compulsive (<em>r</em> = −0.380, <em>p</em> &lt; .001) subscales of the GTS-QOL. Motor tic severity partially mediated the relationship between the ALPS_L index and physical/ADL scores (β = −0.037; 95% CI, −0.060 to −0.015).</div></div><div><h3>Conclusions</h3><div>Children with TS exhibit altered glymphatic function, associated with tic severity and impaired QOL. These findings suggest that glymphatic dysfunction may underlie TS-related neurobiological abnormalities.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 590-596"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208643","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":"Connectome-Based Predictive Models Optimized for Sleep Differentiate Patients With Depression From Psychiatrically Healthy Controls","authors":"Anurima Mummaneni ,&nbsp;Carolyn Amir ,&nbsp;Nicholas B. Allen ,&nbsp;Tiffany C. Ho","doi":"10.1016/j.bpsc.2025.10.002","DOIUrl":"10.1016/j.bpsc.2025.10.002","url":null,"abstract":"<div><h3>Background</h3><div>It is unknown whether brain-based predictive models derived from sleep features are useful for the clinical diagnosis of major depressive disorder (MDD).</div></div><div><h3>Methods</h3><div>Using resting-state functional magnetic resonance imaging data from the curated ABCD (Adolescent Brain Cognitive Development) Study Data Release 3.0, we trained a connectome-based predictive model (CPM) on 35,778 pairwise connections (Pearson’s <em>r</em>) from 2349 (237 participants with at least 1 psychiatric disorder and 2112 control participants) participants ages 11 to 12 to predict sleep duration (measured from a Fitbit tracker). Linear regression models were used to compare the predicted values from these CPMs with self-reported sleep duration and diagnostic group status in an independent cohort of 78 participants (57 participants with MDD and 21 control participants) ages 14 to 18.</div></div><div><h3>Results</h3><div>The ABCD-based CPM predicted self-reported sleep duration in the independent cohort of participants with MDD (partial <em>r</em> = 0.332, <em>p</em> = .009). Even though self-reported sleep duration did not significantly differ between diagnostic groups (<em>t</em>₇₅ = 0.13, <em>p</em> = .90), the ABCD-based CPM successfully distinguished between diagnostic groups (partial <em>r</em> = 0.334, <em>p</em> &lt; .001), and CPM-predicted sleep durations correlated with depression symptom severity (partial <em>r</em> = 0.294, <em>p</em> &lt; .001). These diagnostic group differences were driven primarily by patterns of hypoconnectivity within various resting-state networks (including the default mode, frontoparietal, motor, and subcortical networks).</div></div><div><h3>Conclusions</h3><div>CPMs trained to predict objective sleep duration are robust and generalizable. Intrinsic functional connectivity differences between clinically depressed and psychiatrically healthy adolescents are detectable by CPMs optimized for sleep prediction, underscoring the shared neural bases between sleep health and depression. Future work will test whether sleep-based CPMs are predictive of clinical course and if they generalize to other disorders beyond depression.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 570-579"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319069","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":"Longitudinal Changes in Infant Attention-Related Brain Networks and Fearful Temperament","authors":"Courtney A. Filippi ,&nbsp;Alice Massera ,&nbsp;Jiayin Xing ,&nbsp;Hyung G. Park ,&nbsp;Emilio Valadez ,&nbsp;Jed T. Elison ,&nbsp;Dana Kanel ,&nbsp;Daniel S. Pine ,&nbsp;Nathan A. Fox ,&nbsp;Anderson Winkler","doi":"10.1016/j.bpsc.2025.07.003","DOIUrl":"10.1016/j.bpsc.2025.07.003","url":null,"abstract":"<div><h3>Background</h3><div>Anxiety disorders may partly stem from altered neurodevelopment of attention-related networks. Neonatal alterations in resting-state functional connectivity (rsFC) among the dorsal attention network (DAN), frontoparietal network (FPN), salience network (SN), and default mode network (DMN) relate to fearful temperament, a risk marker for anxiety. Nevertheless, few studies have examined the development of these networks beyond the first months of life, particularly in fearful infants. In this study, we examined how changes in these networks during the first 2 years of life relate to fearful temperament.</div></div><div><h3>Methods</h3><div>Using data from the Baby Connectome Project (from 180 infants across 396 sessions), we conducted independent component analysis to extract rsFC among the DMN, SN, DAN, and FPN. Longitudinal modeling characterized 1) age-related changes (slope) in rsFC through age 2 years, 2) the relationship between rsFC change (slope) and fearfulness at age 2 years, and 3) the relationship between rsFC and fearfulness trajectories (slope and intercept) during the first 2 years of life.</div></div><div><h3>Results</h3><div>Age-related decreases occurred in DAN-FPN and DMN-SN rsFCs. Smaller decreases in DAN-FPN rsFC over time related to greater fear at age 2 and to increases in fearfulness over time. High initial DAN-FPN rsFC and low initial DAN-SN rsFC also related to increasing fearfulness over time.</div></div><div><h3>Conclusions</h3><div>This study provides the first evidence that changes in attention-related brain networks are related to early-life fearfulness, a robust early-life risk marker of anxiety.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 515-523"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676841","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":"The Critical Importance of Socioemotionally Related Functional Network Development During Infancy","authors":"Wei Gao","doi":"10.1016/j.bpsc.2026.03.001","DOIUrl":"10.1016/j.bpsc.2026.03.001","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 499-500"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147847112","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":"Δ9-Tetrahydrocannabinol Alters Limbic and Frontal Functional Brain Connectomes Among Young Adult Cannabis Users","authors":"Zachary Anderson ,&nbsp;Matthew Gunn ,&nbsp;Emily Jones ,&nbsp;Olusola Ajilore ,&nbsp;K. Luan Phan ,&nbsp;Harriet de Wit ,&nbsp;Heide Klumpp ,&nbsp;Vince Calhoun ,&nbsp;Natania A. Crane","doi":"10.1016/j.bpsc.2025.09.005","DOIUrl":"10.1016/j.bpsc.2025.09.005","url":null,"abstract":"<div><h3>Background</h3><div>Cannabis use among young adults has reached the highest levels ever recorded. Evidence indicates that acute Δ⁹-tetrahydrocannabinol (THC) disrupts brain connectivity. Few studies have examined this on a whole-brain level. We examined the effects of a single moderate dose of THC on resting-state functional brain networks among young adult cannabis users.</div></div><div><h3>Methods</h3><div>In a within-subject, double-blind, randomized study, 33 healthy occasional cannabis users received THC (7.5 mg, oral) and placebo before completing resting-state functional magnetic resonance imaging (rs-fMRI) during peak intoxication. Group-information–guided independent component analysis was performed on resting-state brain data to identify whole-brain networks associated with each scan. Within-samples <em>t</em> tests assessed for differences in intrinsic network functional connectivity and between-network functional connectivity after THC versus placebo. Additional linear models examined relationships between brain connectivity, subjective drug effects, and past-month cannabis use.</div></div><div><h3>Results</h3><div>THC reduced within-network intrinsic connectivity in corticostriatal circuits and other networks associated with sensory systems, interoceptive experiences, and spatial reasoning. THC reduced connectivity between 2 networks characterized by the anterior cingulate cortex and dorsal insula regions as well as the ventral insula and lingual gyrus, respectively. Network connectivity during THC (vs. placebo) was not related to subjective measures of drug effect or recent cannabis use.</div></div><div><h3>Conclusions</h3><div>Our findings add to a growing literature showing that THC decreases rs-fMRI throughout the brain, impacting networks linked to the many behavioral and perceptual changes associated with THC. Future work is needed to extend these findings to clinical samples and to assess the extent to which these networks are associated with negative outcomes of chronic THC use.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages 580-589"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076901","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":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(26)00103-5","DOIUrl":"10.1016/S2451-9022(26)00103-5","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Pages A5-A11"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147854896","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":"Editorial Board Page","authors":"","doi":"10.1016/S2451-9022(26)00100-X","DOIUrl":"10.1016/S2451-9022(26)00100-X","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"11 5","pages":"Page A1"},"PeriodicalIF":4.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147854898","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}