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Mild Behavioral Impairment and Cortical Thinning: Biomarkers of Early Neurodegeneration 轻度行为障碍和皮层变薄:早期神经变性的生物标志物。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.06.010
Yi Jin Leow , Seyed Ehsan Saffari , Ashwati Vipin , Pricilia Tanoto , Rasyiqah Binte Shaik Mohamed Salim , Bocheng Qiu , Zahinoor Ismail , Nagaendran Kandiah

Background

Mild behavioral impairment (MBI) is increasingly recognized as an early phenotypic marker of neurodegeneration characterized by neuropsychiatric symptoms (NPSs) emerging prior to overt cognitive decline. While structural neuroimaging studies have linked cortical thinning with NPSs, the relationship between MBI and cortical morphology remains underexplored in diverse, community-based cohorts. In this study, we investigated whether early behavioral alterations, assessed via the Mild Behavioral Impairment Checklist (MBI-C), correlate with region-specific cortical thinning in a Southeast Asian cohort.

Methods

A cross-sectional analysis was conducted on 969 participants (mean age 58.59 ± 10.64 years; 39.8% male; 87.4% Chinese) from the BIOCIS (Biomarkers and Cognition Study, Singapore), including cognitively normal individuals and individuals with subjective cognitive decline (SCD) or with mild cognitive impairment. MBI was assessed using the self-report MBI-C. Cortical thickness was measured using T1-weighted magnetic resonance imaging scans processed with FreeSurfer. Associations between cortical thinning and MBI-C total and subdomain scores were evaluated.

Results

Higher scores on the MBI-C Belief subdomain were significantly associated with cortical thinning in the right hemisphere (β = −0.0177; 95% CI, −0.0342 to −0.0012; p = .035). Region-specific analyses showed temporal lobe thinning in the posterior superior temporal sulcus, fusiform gyrus, superior temporal gyrus, temporal pole, and transverse temporal gyrus, and associations remained significant after false discovery rate (FDR) correction (p = .042–.045). Additional cortical thinning was observed in the right postcentral gyrus, supramarginal gyrus, and insula (pFDR ≤ .039).

Conclusions

Elevated MBI, particularly abnormal beliefs, is linked to cortical thinning in regions subserving memory, sensory integration, and emotion regulation predominantly in the right hemisphere. These findings highlight the potential of the MBI-C as an early neurodegenerative marker. Further longitudinal studies are needed to clarify temporal dynamics and mechanisms underlying behavioral symptoms and neurodegenerative processes.
背景:轻度行为障碍(MBI)越来越被认为是神经变性的早期表型标志,其特征是在明显的认知能力下降之前出现神经精神症状(NPS)。虽然结构神经影像学研究将皮层变薄与NPS联系起来,但在不同的社区队列中,MBI与皮层形态之间的关系仍未得到充分探讨。本研究通过轻度行为障碍检查表(MBI-C)评估了东南亚队列中的早期行为改变是否与区域特异性皮质变薄相关。方法:对来自新加坡生物标志物与认知研究(BIOCIS)的969名参与者(平均年龄61.99±10.19岁,39.6%为男性,87.2%为中国人)进行横断分析,涵盖认知正常、主观认知衰退(SCD)和轻度认知障碍(MCI)。MBI采用自我报告的MBI- c进行评估。使用FreeSurfer处理的t1加权MRI扫描测量皮质厚度。评估皮质变薄与MBI-C总分和子域评分之间的关系。结果:MBI-C信念子域得分越高,与右半球皮层变薄显著相关(β=-0.0177;95%CI:-0.0342 ~ 0.0012;P=0.035)。区域特异性分析显示,颞叶在颞后上沟、梭状回、颞上回、颞极和颞横回中变薄,在错误发现率(FDR)校正后,相关性仍然显著(P=0.042-0.045)。右侧中央后回、边缘上回和脑岛皮层进一步变薄(FDR P≤0.039)。结论:MBI升高,特别是异常信念,与右半球负责记忆、感觉整合和情绪调节的区域皮层变薄有关。这些发现突出了MBI-C作为早期神经退行性标志物的潜力。需要进一步的纵向研究来阐明行为症状和神经退行性过程的时间动力学和机制。
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引用次数: 0
Deriving Mendelian Randomization–Based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder 基于孟德尔随机化的脑成像表型和双相情感障碍因果网络的推导。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.07.010
Shane O’Connell , Brielin C. Brown , Dara M. Cannon , Pilib Ó. Broin , Nadine Parker , Dag Alnæs , Lars T. Westlye , Saikat Banerjee , Leila Nabulsi , Emma Corley , Ole A. Andreassen , David A. Knowles , Niamh Mullins

Background

Neuroanatomical variation in individuals with bipolar disorder (BD) has been described previously in observational studies. However, the causal dynamics of these relationships remain unexplored.

Methods

We performed Mendelian randomization (MR) of 297 structural and functional neuroimaging phenotypes from the UK Biobank and BD using genome-wide association study summary statistics. We carried out a suite of sensitivity analyses and identified phenotypic categories with the greatest effect on BD. We applied a novel inverse sparse regression model that accounts for covariance between sets of correlated effects to estimate direct causal effects (DCEs), which represent the effect of one phenotype conditional on all other effects. We used DCE weights to create causal scores for BD using neuroimaging data from 3 clinical cohorts.

Results

We found 28 significant causal relationship pairs after multiple testing correction containing BD as a term, 27 of which described neuroimaging phenotype effects on BD. White matter tract phenotypes had larger absolute effects on BD than vice versa in MR tests and estimated DCE solutions. We found that white matter phenotypes had significantly larger out-degrees than non–white matter tract phenotypes across network solutions. A causal score constructed using neuroimaging causal estimates was a significant predictor of BD in an adolescent cohort (odds ratio = 0.79).

Conclusions

MR analyses suggest that neuroanatomical variation, specifically in white matter tracts such as the longitudinal fasciculi, is likely a cause rather than a consequence of BD. Verification of estimated causal relationships requires replication and triangulation of evidence approaches using other study designs.
背景:在观察性研究中,双相情感障碍(BD)患者的神经解剖学变异已经被描述过。然而,这些关系的因果动态仍未被探索。方法:我们使用GWAS汇总统计对来自UK Biobank和BD的297种结构和功能神经影像学表型进行孟德尔随机化。我们进行了一系列敏感性分析,并检查了对双相障碍影响最大的表型类别。我们应用了一种新的逆稀疏回归模型,该模型考虑了相关效应集之间的协方差,以估计“直接因果效应”(DCE),即一种表型条件对所有其他效应的影响。我们利用来自三个临床队列的神经影像学数据,使用DCE权重来创建双相障碍的因果评分。结果:在包含BD作为术语的多次测试修正后,我们发现了28个显著的因果关系对,其中27个描述了神经成像表型对BD的影响。在MR测试和估计的直接因果效应解决方案中,白质束表型对BD的绝对影响大于反之。我们发现,在网络解决方案中,白质表型明显大于非白质表型。使用神经影像学因果估计构建的因果评分是青少年队列中双相障碍的重要预测因子(O.R.=0.79)。结论:孟德尔随机化分析表明,神经解剖学变异,特别是在白质束如纵向束,可能是双相障碍的原因,而不是结果。验证估计的因果关系需要使用其他研究设计的证据方法的复制和三角测量。
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引用次数: 0
Subscribers' Page 用户页面
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/S2451-9022(25)00372-6
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引用次数: 0
Guide for Authors 作者指南
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/S2451-9022(25)00375-1
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引用次数: 0
Neural Rewiring of Resilience: The Effects of Combat Deployment on Functional Network Architecture 弹性的神经重新布线:作战部署对功能网络架构的影响。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2024.12.017
Noga Yair , Tom Zalmenson , Omer Azriel , Dana Shamai-Leshem , Yaron Alon , Niv Tik , Lucian Tatsa-Laur , Ariel Ben-Yehuda , Daniel S. Pine , Anderson M. Winkler , Ido Tavor , Yair Bar-Haim

Background

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.

Methods

Tier 1 infantry recruits (n = 50) participated in this longitudinal, functional magnetic resonance imaging study together with a comparison group of university students (n = 50). Changes in within- and between-network functional connectivity were analyzed as a function of exposure group.

Results

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.

Conclusions

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.
背景:虽然战斗部署的士兵在发展创伤相关的精神病理学的高风险,大多数将保持弹性在他们的部署之旅的持续时间和后果。这种类型的弹性的神经基础在很大程度上是未知的,并且很少有关于弹性个体的神经适应战斗的纵向研究,他们收集了暴露前测量。在这里,我们描述了从战斗前到战斗后,无精神病理、有弹性的参与者的功能性脑网络结构的变化。方法:一级步兵新兵(n=50)参加了这项纵向功能磁共振成像(fMRI)研究,同时还有一组大学生(n=50)。分析了暴露组对网络内和网络间功能连通性的影响。结果:显著的群体时间交互作用表现在默认模式、认知控制和腹侧注意网络中:在网络内部和网络之间的连通性从基线显著增加,仅在部署后的士兵中发现。结论:这些结果表明,相对于年龄匹配的学生,弹性战斗部署参与者的大脑功能结构发生了全面变化,表明神经适应可能支持战斗暴露的弹性。临床试验:gov标识符:NCT04651192;https://clinicaltrials.gov/study/NCT04651192。
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引用次数: 0
Parsing Autism Heterogeneity: Transcriptomic Subgrouping of Imaging-Derived Phenotypes in Autism 解析自闭症异质性:自闭症中成像衍生表型的转录组亚组。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.07.001
Johanna Leyhausen , Caroline Gurr , Lisa M. Berg , Hanna Seelemeyer , Bassem Hermila , Tim Schäfer , Andreas G. Chiocchetti , Charlotte M. Pretzsch , Eva Loth , Bethany Oakley , Jan K. Buitelaar , Christian F. Beckmann , Tony Charman , Thomas Bourgeron , Eli Barthome , Tobias Banaschewski , Emily J.H. Jones , EU-AIMS LEAP Group, Declan Murphy , Christine Ecker

Background

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.

Methods

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.

Results

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.

Conclusions

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.
背景:神经发育疾病,如自闭症,在机制和表型水平上都是高度异质性的。因此,分析异构性对于揭示潜在的过程至关重要,这些过程可以为开发有针对性的个性化支持提供信息。该研究旨在通过识别在表型和分子水平上趋同的亚群来分析自闭症的异质性。方法:采用成像转录组学方法将自闭症的神经解剖学成像衍生表型与Allen人脑图谱提供的全脑基因表达特征联系起来。N=359名6-30岁自闭症参与者的神经影像学和临床资料由EU-AIMS欧洲自闭症纵向项目提供。基于脑表型和转录组谱之间的相关性,使用数据驱动的聚类技术对个体进行分层。所得到的亚群在临床、神经解剖学和分子水平上具有特征。结果:基于成像衍生表型和转录组谱之间的相关性,我们确定了自闭症个体的三个亚组,这些亚组表现出不同的临床表型。与成像衍生表型有最强转录组学关联的个体表现出最低的症状严重程度。每个亚组最具特征的基因集显著富集了先前与自闭症病因有关的基因,包括突触传递和神经元交流等过程,并映射到不同的基因本体类别。结论:自闭症个体可以根据与神经解剖指纹相关的转录组特征进行亚组划分,揭示出在临床测量中表现出差异的亚组。该研究提出了一个分析框架,将自闭症的神经发育和临床多样性与潜在的分子机制联系起来,从而强调了个性化支持策略的必要性。
{"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}
引用次数: 0
Using Behavior to Catch Early Signs of Brain Degeneration 用行为来发现大脑退化的早期迹象
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.11.001
George J. Augustine
{"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}
引用次数: 0
Neurophysiological Markers of Regulation Success in Everyday Life in Depression 抑郁症患者日常生活调节成功的神经生理标志。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.01.004
Jonathan P. Stange , Ellie P. Xu , Sarah L. Zapetis , Jiani Li , Lisanne Jenkins , Jagan Jimmy , Zihua Ye , Pia Sellery , Coralie S. Phanord , Erika Forbes , Timothy J. Trull , Robin J. Mermelstein , Olusola Ajilore

Background

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.

Methods

In individuals with remitted major depressive disorder and healthy comparison participants (N = 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.

Results

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 salience network activity (amygdala, insula).

Conclusions

Results suggest that linking psychophysiology 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.
背景:自我调节在抑郁症中经常被破坏,其特征是负面情绪和不灵活的副交感神经反应。然而,我们对自我调节过程的大脑机制的理解很大程度上局限于实验室环境。测量日常生活中自我调节过程的个体差异及其神经相关性,可以帮助我们了解抑郁症的表型,并揭示影响日常功能的新干预目标。方法:在重度抑郁症(rMDD)缓解的个体和健康的对照参与者(N=74)中,我们使用fMRI情绪调节任务测量了日常生活中调节成功的两个维度-调节情感的感知成功和生理成功(调节尝试后的副交感神经增强)-以及它们的神经相关性。结果:成功的感知与生理上的成功有微弱的联系,并有部分明显的神经相关。在日常生活中,感知到的成功和生理上的成功预示着在扫描仪上对厌恶刺激做出反应时,大脑中涉及情绪突出的区域的活动减少。在扫描仪中进行重新评估时,在认知控制区域(包括背外侧和背内侧前额皮质)中,日常生活中更大的感知成功与更多的重新评估相关活动在维度上相关;相反,生理上的成功预示着显著性网络活动(杏仁核、脑岛)的下调。结论:结果表明,将心理生理学与日常生活中的行为联系起来可以为自我调节功能的可分离维度提供一个窗口。整合动态和基于大脑的指标可以阐明具有不同神经生理机制的自我调节表型和干预目标,以影响日常生活功能。
{"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}
引用次数: 0
Neurite Density and Kurtosis in the Gray Matter of People With Early Schizophrenia 早期精神分裂症患者脑灰质中的神经突密度和峰度。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2025.06.001
Peter C. Van Dyken , Ali R. Khan , Lena Palaniyappan

Background

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.

Methods

We applied the NODDI and DKI models to the cortical gray matter of people with early schizophrenia (n = 54) and healthy control participants (n = 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.

Results

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.

Conclusions

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.
背景:经典的扩散加权成像模型,特别是扩散张量成像,不适合应用于皮层灰质,因为该区域的微观结构非常复杂。因此,到目前为止,大多数神经影像学研究都集中在精神分裂症的总体结构影响上,比如皮层厚度的差异。最近开发的模型,如神经突定向弥散和密度成像(NODDI)模型和扩散峰度成像(DKI),纳入了更高分辨率的数据,并可能提供更敏感的精神分裂症病理描述和更具体的解释。方法:我们将NODDI和DKI模型应用于来自人类连接组项目-早期精神病数据集的早期精神分裂症患者(n=54)和健康对照(n=51)的皮质灰质。使用兴趣区域和聚类方法进行组间比较。将这些方法的效应量与皮质厚度差异的效应量进行比较。我们还调查了这些参数与终生抗精神病药物使用之间的关系。结果:在整体效应大小和空间程度上,两组间皮质厚度差异最为显著。我们还观察到弥漫性的、以右半球为主的平均峰度和各向同性扩散分数在整个灰质中增加,这不能完全用部分体积效应来解释。此外,较低的神经突密度指数(NDI)与较高的终生抗精神病药物使用相关。结论:平均峰度和各向同性扩散分数的增加都是精神分裂症的标志,与精神分裂症的灰质炎症模型一致。NDI减少,反映了神经膜内病变,仅在疾病负担较大的患者中才变得突出。
{"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}
引用次数: 0
Racial Discrimination–Related Interoceptive Network Disruptions: A Pathway to Disconnection 种族歧视相关的内感受网络中断:通往断开的途径。
IF 4.8 2区 医学 Q1 NEUROSCIENCES Pub Date : 2026-01-01 DOI: 10.1016/j.bpsc.2024.12.011
Aziz Elbasheir , Rachel Bond , Nathaniel G. Harnett , Alfonsina Guelfo , Maya C. Karkare , Travis M. Fulton , Timothy D. Ely , Timothy J. McDermott , Ruth A. Lanius , Vishwadeep Ahluwalia , Bekh Bradley , Greg J. Siegle , Negar Fani

Background

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.

Methods

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.

Results

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 ps < .05). Insula-mPFC connectivity was significantly and negatively associated with derealization symptoms (r = −0.31, p = .009), but not PTSD (r = −0.16, p = .182).

Conclusions

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.
背景:种族歧视(RD)扰乱了少数民族个体的调节系统,特别是那些控制注意力的系统,包括对内脏信号的注意(内感受)。RD频率与生理“关闭”反应有关,其临床特征是分离。我们在创伤暴露的黑人女性样本中研究了RD频率与注意和内感受网络功能连通性之间的关系,研究了连通性改变与分离严重程度的关系。方法:72名黑人女性完成了MRI扫描和分离测量,作为两项创伤研究的一部分。在执行情感Stroop任务时,RD与种子到体素(种子:双侧杏仁核和脑岛)在注意控制和内感受性脑网络中的功能连通性有关;我们检查了在观看威胁相关和中性干扰图像时的连通性。从显著集群中提取连通性值,并检查其与分离症状的关联。我们还检查了与创伤后应激障碍症状相关的连通性,以进行比较分析。结果:在关注威胁相关的情感Stroop试验中,更高的RD频率与几个内侧前额叶皮层(mPFC)簇的较弱的脑岛连通性有关(fsr校正的ps)讨论:RD频率与注意威胁期间脑岛和两个内感受网络节点mPFC之间的较弱的功能连通性有关,连接减弱与更严重的分离有关。RD可能会中断内感受网络的功能,而这些网络的改变可能反过来影响黑人个体的身心脱节或生理“关闭”反应。
{"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}
引用次数: 0
期刊
Biological Psychiatry-Cognitive Neuroscience and Neuroimaging
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