Biological psychiatry. Cognitive neuroscience and neuroimaging最新文献

{"title":"Testosterone administration increases the computational impact of social evaluation on the updating of state self-esteem.","authors":"Jixin Long, Junsong Lu, Yang Hu, Philippe N Tobler, Yin Wu","doi":"10.1016/j.bpsc.2025.02.008","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.02.008","url":null,"abstract":"<p><strong>Background: </strong>High self-esteem promotes well-being and buffers against anxiety. However, state self-esteem (SSE) is not stable but dynamically updated based on evaluations received from others. Particularly in men, decreased SSE are related to aberrant behaviors and clinical symptoms. A critical physiological mechanism underlying these associations could involve a sexual hormone, testosterone. However, the causal relationship between testosterone and the process of updating SSE in men remains unknown.</p><p><strong>Methods: </strong>The study had a double-blind, placebo-controlled, between-participants design. First, we administered a single dose (150 mg) of testosterone or placebo gel to healthy young men (n = 120). Subsequently, the participants completed a social evaluation task in which they adjusted prediction of potential evaluation by others and dynamically reported their SSE based on the social feedback they received. Meanwhile, we applied a computational modeling approach to investigate the dynamic changes in their SSE.</p><p><strong>Results: </strong>Exogenous testosterone significantly influenced the participants' expectation of receiving positive social feedback from raters with different approval rates and separately amplified the changes in average SSE when the participants received positive or negative feedback from the raters. Even more importantly, computational modeling showed that the participants who received testosterone (versus the placebo) assigned a higher weight to expected social feedback and social prediction errors when updating their SSE.</p><p><strong>Conclusions: </strong>The findings provide potential clinical implications for combining exogenous testosterone with interventions aimed at enhancing SSE through positive social feedback as a pre-clinical treatment for aberrant behaviors and clinical symptoms.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults with Remitted Depression.","authors":"Manuel Kuhn, Emma H Palermo, Guillaume Pagnier, Jacob M Blank, David C Steinberger, Yinru Long, Genevieve Nowicki, Jessica A Cooper, Michael T Treadway, Michael J Frank, Diego A Pizzagalli","doi":"10.1016/j.bpsc.2025.02.006","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.02.006","url":null,"abstract":"<p><strong>Background: </strong>Reduced motivation is an core feature of major depressive disorder (MDD). Yet, the extent to which this deficit persists in remitted MDD (rMDD) remains unclear. Here, we examined effort-based decision-making as one aspect of amotivation in rMDD using computational phenotyping to characterize decision-making processes and strategies.</p><p><strong>Methods: </strong>Unmedicated adults with rMDD (N=40) and healthy controls (HCs, N=68) completed the Effort Expenditure for Rewards Task (EEfRT). Repeated-measures ANOVA and computational modeling-including hierarchical drift diffusion modeling (DDM) and subjective value modeling (SVM)]-were applied to quantify decision-making dynamics in effort allocation across different reward magnitudes and probabilities.</p><p><strong>Results: </strong>Relative to HCs, rMDD individuals made overall fewer hard task choices, with an attenuated effect when accounting for anhedonia. However, specific to high reward, high probability conditions, rMDD individuals chose to expend effort more often than HCs. This was supported by the DDM results revealing that rMDD individuals showed a drift rate biased toward selecting the easy task, counteracted by heightened influence of reward probability and magnitude. Probed with SVM, this was not driven by group differences in decision strategies with respect to magnitude and probability information utilization.</p><p><strong>Conclusions: </strong>Collectively, these findings suggest that while individuals with rMDD exhibit persistent motivational deficits, they retain a heightened sensitivity to high-value rewards, requiring more substantial or certain rewards to engage in effortful tasks. This pattern may reflect impairments in reward processing and effort-cost computations, contributing to motivational dysfunction. Targeting reward sensitivity and effort allocation could be valuable for interventions aimed at preventing MDD relapse.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitochondria Make You Think: An [18F]BCPP-EF Positron Emission Tomography Study of Mitochondrial Complex I Levels and Brain Activation during Task Switching.","authors":"Ekaterina Shatalina, Thomas Whitehurst, Ellis Chika Onwordi, Alexander Whittington, Ayla Mansur, Atheeshaan Arumuham, Tiago Reis Marques, Roger N Gunn, Sridhar Natesan, Matthew M Nour, Eugenii A Rabiner, Matthew B Wall, Oliver D Howes","doi":"10.1016/j.bpsc.2025.02.007","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.02.007","url":null,"abstract":"<p><strong>Background: </strong>Mitochondrial complex I is the largest enzyme complex in the respiratory chain and can be non-invasively measured using [18F]BCPP-EF positron emission tomography (PET). Neurological conditions associated with mitochondria complex I pathology are also associated with altered blood oxygen level-dependent (BOLD) response and impairments in cognition. This study aims to investigate the relationship between mitochondrial complex I levels, cognitive function, and associated neural activity during task switching in healthy humans.</p><p><strong>Methods: </strong>Cognitively healthy adults (n=23) underwent [18F]BCPP-EF PET scans and functional magnetic resonance imaging (fMRI) while performing a task-switching exercise. Task performance metrics included switch cost and switching accuracy. Data were analysed using linear mixed-effects models and partial least squares regression (PLS-R).</p><p><strong>Results: </strong>We found significant positive associations between [18F]BCPP-EF VT and the task-switching fMRI response (β=3.351, SE=1.01, z=3.249, p=0.001). Positive Pearson's correlations between [18F]BCPP-EF VT and the fMRI response were observed in the dorsolateral prefrontal cortex (r=0.61, p=0.0019), insula (r=0.46, p=0.0264) parietal-precuneus (r=0.51, p=0.0139) and anterior cingulate cortex (r=0.45, p=0.0293). [18F]BCPP-EF VT across task-relevant regions was associated with task switching accuracy (PLS-R, R2=0.48, RMSE=0.154, p=0.011) and with switch cost (PLS-R, R2=0.38, RMSE=0.07, p=0.048).</p><p><strong>Conclusions: </strong>Higher mitochondrial complex I levels may underlie an individual's ability to exhibit a stronger BOLD response during task switching and are associated with better task-switching performance. This provides the first evidence linking the BOLD response with mitochondrial complex I and suggests a possible biological mechanism for aberrant BOLD response in conditions associated with mitochondrial complex I dysfunction that should be tested in future studies.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resting State Cortical Network and Subcortical Hyperconnectivity in Youth With Generalized Anxiety Disorder in the ABCD Study.","authors":"Sam A Sievertsen, Jinhan Zhu, Angela Fang, Jennifer K Forsyth","doi":"10.1016/j.bpsc.2025.02.005","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.02.005","url":null,"abstract":"<p><strong>Introduction: </strong>Generalized anxiety disorder (GAD) frequently emerges during childhood or adolescence, yet, few studies have examined functional connectivity differences in youth GAD. Functional MRI studies of adult GAD have implicated multiple brain regions; however, frequent examination of individual brain seed regions and/or networks has limited a holistic view of GAD-associated differences. The current study therefore used resting-state fMRI data from the Adolescent Brain Cognitive Development study to investigate connectivity in youth with GAD across multiple cortical networks and subcortical regions implicated in adult GAD, considering diagnosis changes across two assessment periods.</p><p><strong>Methods: </strong>Within- and between-network connectivity in 164 youth with GAD and 3158 healthy controls for 6 cortical networks and 6 subcortical regions was assessed using linear mixed effect models. Changes in GAD-associated connectivity between baseline and 2-year follow-up were then compared for subjects with: continuous GAD, GAD at baseline and not follow-up (GAD-remitters), GAD at follow-up and not baseline (GAD-converters), and controls.</p><p><strong>Results: </strong>Youth with GAD showed greater within-ventral attention network (VAN) connectivity, and hyperconnectivity between the amygdala and cingulo-opercular network, and between striatal regions and the cingulo-opercular, default mode, and salience networks (FDR p<0.05). Within-VAN connectivity decreased for GAD-remitters between baseline and follow-up. Sensitivity analyses revealed that these hyperconnectivity patterns were not observed in major depressive disorder (n=19), separation anxiety (n=33), or social anxiety disorder (n=111) without GAD.</p><p><strong>Discussion: </strong>Results indicate that GAD in childhood and adolescence is associated with altered subcortical to cortical network connectivity, and that within-VAN hyperconnectivity, in particular, is associated with clinically-significant GAD-specific symptoms.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143485031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential Insular Cortex Activation During Reward Anticipation in Major Depressive Disorder with and without Anxiety.","authors":"Xi Ren, Evan J White, Rayus Kuplicki, Martin P Paulus, Maria Ironside, Robin L Aupperle, Jennifer L Stewart","doi":"10.1016/j.bpsc.2025.02.001","DOIUrl":"10.1016/j.bpsc.2025.02.001","url":null,"abstract":"<p><strong>Background: </strong>Anticipation involves preparatory resource allocation to optimize upcoming responses, linked to insular cortex function. Although major depressive disorder (MDD) shows impairments in anticipatory processing and blunted insula activation, it is unclear whether this pattern holds across MDD with and without comorbid anxiety disorders (MDD+ANX). The Monetary Incentive Delay task (MID), combined with magnetic resonance imaging (MRI)-guided electroencephalogram (EEG) source localization, offers a robust approach to study anticipatory mechanisms in MDD subtypes.</p><p><strong>Method: </strong>Participants with MDD (n=53) or MDD+ANX (n=108) and healthy controls (CTL; n=38) completed the MID task during simultaneous EEG-MRI recording. Stimulus-preceding negativity event-related potentials were source-localized to identify insular cortical activity differences across groups (MDD, MDD+ANX, CTL), sex (male, female), MID conditions (gain, loss), hemisphere (left, right), and six insular subregions.</p><p><strong>Results: </strong>Behavioral performance revealed that the CTL group reacted faster than the MDD+ANX in both gain and loss conditions (p=.03). Insular source analysis showed lower activity in MDD+ANX (p<.001) and MDD (p=.06) compared to CTL during gain anticipation, and lower activity in MDD+ANX than both CTL (p=.003) and MDD (p<.001) during loss anticipation.</p><p><strong>Conclusions: </strong>Results highlight potential intervention targets for improving anticipatory deficits in MDD+ANX. The MDD+ANX group exhibited distinctive patterns of insular cortical activity, with lower activity during the anticipation of both gain and loss feedback compared to the control and MDD groups, suggesting significant neural alterations. Moreover, in MDD+ANX, higher anxiety severity was linked to increased insula activity during loss anticipation, indicating a specific neural correlate of anxiety in this comorbid condition.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate links between the developmental timing of adversity exposure and white matter tract connectivity in adulthood.","authors":"Lucinda M Sisk, Taylor J Keding, Emily M Cohodes, Sarah McCauley, Jasmyne C Pierre, Paola Odriozola, Sahana Kribakaran, Jason T Haberman, Sadie J Zacharek, Hopewell R Hodges, Camila Caballero, Gillian Gold, Audrey Y Huang, Ashley Talton, Dylan G Gee","doi":"10.1016/j.bpsc.2025.02.003","DOIUrl":"10.1016/j.bpsc.2025.02.003","url":null,"abstract":"<p><strong>Background: </strong>Early-life adversity is pervasive worldwide and represents a potent risk factor for increased mental health burden across the lifespan. However, there is substantial individual heterogeneity in associations between adversity exposure, neurobiological changes, and mental health problems. Accounting for key features of adversity such as the developmental timing of exposure may clarify associations between adversity, neurodevelopment, and mental health.</p><p><strong>Methods: </strong>The present study leverages sparse canonical correlation analysis to characterize modes of covariation between adversity exposure across development and the connectivity of white matter tracts throughout the brain in a sample of 107 adults.</p><p><strong>Results: </strong>We found that adversity exposure during preschool-age and middle childhood (ages 4-5 and 8 in particular) were consistently linked across diffusion metrics with alterations in white matter tract connectivity. Whereas tracts supporting sensorimotor functions displayed higher connectivity with higher preschool-age and middle childhood adversity exposure, tracts supporting cortico-cortical communication displayed lower connectivity. Further, latent patterns of tract connectivity linked with adversity experienced across preschool-age and middle childhood (ages 3-8) were associated with post-traumatic stress symptoms in adulthood.</p><p><strong>Conclusions: </strong>Our findings underscore that adversity exposure may differentially affect white matter in a function- and developmental-timing specific manner and suggest that adversity experienced between ages 3-8 may shape the development of white matter tracts across the brain in ways that are relevant for mental health in adulthood.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Treatment Response of rTMS in Major Depressive Disorder Using a Explainable Machine Learning Model Based on EEG and Clinical Features.","authors":"Zongya Zhao, Xiangying Ran, Yanxiang Niu, Mengyue Qiu, Shiyang Lv, Mingjie Zhu, Junming Wang, Mingcai Li, Zhixian Gao, Chang Wang, Yongtao Xu, Wu Ren, Xuezhi Zhou, Xiaofeng Fan, Jinggui Song, Mingchao Qi, Yi Yu","doi":"10.1016/j.bpsc.2025.02.002","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.02.002","url":null,"abstract":"<p><strong>Objective: </strong>Major Depressive Disorder (MDD) is highly heterogeneous in response to rTMS, and identifying predictive biomarkers is essential for personalized treatment. However, current researches either only uses EEG or clinical features, lacks interpretability, or have small sample sizes.</p><p><strong>Method: </strong>This study included 74 MDD patients who responded (Responder) and 43 MDD who did not respond (NonResponder) to rTMS. Eight baseline EEG metrics and clinical features were sent to seven machine learning models to classify Responder from NonResponder. SHAP was used to interpret feature contributions.</p><p><strong>Result: </strong>Combining phase locking value (PLV) and clinical features with Support Vector Machine (SVM) achieved optimal classification performance (accuracy=97.33%). SHAP revealed that delta and beta band functional connectivity (F3-P7, F3-P4, P3-P8, T7-Cz) significantly influenced predictions and differed between groups.</p><p><strong>Conclusion: </strong>This study developed an explainable predictive framework to predict rTMS response in MDD, enhancing the accuracy of rTMS response prediction and supporting personalized treatment in MDD.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Representing brain-behavior associations by retaining high-motion minoritized youth.","authors":"Jivesh Ramduny, Lucina Q Uddin, Tamara Vanderwal, Eric Feczko, Damien A Fair, Clare Kelly, Arielle Baskin-Sommers","doi":"10.1016/j.bpsc.2025.01.014","DOIUrl":"10.1016/j.bpsc.2025.01.014","url":null,"abstract":"<p><strong>Background: </strong>Population neuroscience datasets provide an opportunity for researchers to estimate reproducible effect sizes for brain-behavior associations because of their large sample sizes. However, these datasets undergo strict quality control to mitigate sources of noise, such as head motion. This practice often excludes a disproportionate number of minoritized individuals.</p><p><strong>Methods: </strong>We employ motion-ordering and motion-ordering+resampling (bagging) to test if these methods preserve functional MRI (fMRI) data in the Adolescent Brain Cognitive Development^SM Study (N = 5,733). For the two methods, brain-behavior associations were computed as the partial Spearman's Rank correlations (R_s) between functional connectivity and cognitive performance (NIH Cognition Toolbox) as well as externalizing and internalizing psychopathology (Child Behavior Checklist [CBCL]) while adjusting for participant sex assigned at birth and head motion.</p><p><strong>Results: </strong>Black and Hispanic youth exhibited excess head motion relative to data collected from White youth, and were discarded disproportionately when using conventional approaches. Motion-ordering and bagging methods retained more than 99% of Black and Hispanic youth. Both methods produced reproducible brain-behavior associations across low-/high-motion racial/ethnic groups based on motion-limited fMRI data.</p><p><strong>Conclusions: </strong>The motion-ordering and bagging methods are two feasible approaches that can enhance sample representation for testing brain-behavior associations and result in reproducible effect sizes in diverse populations.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143375044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding obsessive-compulsive disorder: Regional Vulnerability Index and its Association with Clinical Symptoms.","authors":"Kathrin Koch, Daniela Rodriguez Manrique, Sandra Gigl, Hanyang Ruan, Deniz A Gürsel, Georgiana Rus-Oswald, Tim Reess, Götz Berberich","doi":"10.1016/j.bpsc.2025.01.013","DOIUrl":"https://doi.org/10.1016/j.bpsc.2025.01.013","url":null,"abstract":"<p><strong>Background: </strong>Patients with obsessive-compulsive disorder (OCD) exhibit notable alterations in brain structure, which are likely to be of clinical relevance. Recently, in schizophrenia, the regional vulnerability index (RVI) was introduced to translate findings from Enhancing Neuro Imaging Genetics Meta-Analysis (ENIGMA) studies to the individual level. Building on this framework, the present study sought to investigate whether the RVI might also serve as a vulnerability index for OCD.</p><p><strong>Methods: </strong>To this aim, we asssessed subcortical volume and cortical thickness in a sample of 250 participants (140 patients with OCD, 110 healthy volunteers) and calculated the RVI by leveraging ENIGMA-derived deficits as the \"ground truth\" for expected regional brain alterations.</p><p><strong>Results: </strong>Subcortical volume and cortical thickness RVI values were significantly different in patients compared to healthy controls. In addition, RVI values based on subcortical volume were significantly correlated with the severity of clinical symptoms. Moreover, RVI values for both subcortical volume and cortical thickness were significantly different in medicated subgroups while there was no significant difference in unmedicated patients.</p><p><strong>Conclusions: </strong>The present results suggest that RVI may represent an individual characteristic reflecting the degree of correspondence between individual patterns of structural alterations and disease-characteristic patterns of structural alterations. However, our findings also indicate that relatively large effect sizes in the meta-analytic \"ground truth\" are a prerequisite for obtaining a meaningful RVI parameter that can also be related to clinical severity. Hence, present findings require further validation through additional research to confirm the RVI's robustness and to determine its predictive value.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Child Amygdala Development with Borderline Personality Symptoms in Adolescence.","authors":"Anna Constantino-Pettit, Kirsten Gilbert, Kiran Boone, Katherine Luking, Benjamin Geselowitz, Rebecca Tillman, Diana Whalen, Joan Luby, Deanna M Barch, Alecia Vogel","doi":"10.1016/j.bpsc.2025.01.010","DOIUrl":"10.1016/j.bpsc.2025.01.010","url":null,"abstract":"<p><strong>Background: </strong>The understanding of the neural correlates of borderline personality disorder (BPD) is limited, but suggests alterations in limbic structures play a role in adult BPD. The developmental course of structural neural differences in BPD is unknown. Whether there is specificity for structural alterations in BPD compared with other psychiatric presentations, such as major depressive disorder (MDD), remains unexplored. The current study examined childhood trajectories of two limbic regions implicated in BPD, hippocampal and amygdala volume, as they relate to adolescent BPD symptoms as compared with MDD symptoms.</p><p><strong>Methods: </strong>Participants (N =175; 85 [48.6%] female) were from a 17-year longitudinal study of preschool depression. Participants completed up to 5 MRI scans from late childhood through adolescence. General linear models assessed the relationship between gray matter volume intercepts/slopes and BPD symptoms to understand the influence of the developmental trajectory of brain regions on BPD. Separate models assessed the relationship between MDD symptoms and volume intercepts to assess diagnostic specificity.</p><p><strong>Results: </strong>Lower childhood amygdala volume (intercept; age 13 centered) across scans was associated with higher adolescent BPD symptoms (β=-0.25, adj. p=.015). There was no relationship between the slope of amygdala volume and BPD symptoms. There was no relationship between hippocampal volume and BPD, nor any relationship between amygdala or hippocampal volume and MDD symptoms in adolescence.</p><p><strong>Conclusions: </strong>Our findings add evidence for the role of alterations in amygdala structure in BPD development. Decreased amygdala volume as early as age 13 may be an early indicator for the development of BPD in adolescence.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143070127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}