Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献_第7页

Altered Development of the Hurst Exponent in the Medial Prefrontal Cortex in Preschoolers With Autism 自闭症学龄前儿童内侧前额叶皮层赫斯特指数的发展变化。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-10-01 DOI: 10.1016/j.bpsc.2024.09.003

Annika C. Linke , Bosi Chen , Lindsay Olson , Michaela Cordova , Molly Wilkinson , Tiffany Wang , Meagan Herrera , Madison Salmina , Adriana Rios , Judy Mahmalji , Tess Do , Jessica Vu , Michelle Budman , Alexis Walker , Inna Fishman

Background

Atypical balance of excitation (E) and inhibition (I) in the brain is thought to contribute to the emergence and symptomatology of autism spectrum disorder (ASD). E/I ratio can be estimated from resting-state functional magnetic resonance imaging (fMRI) using the Hurst exponent, H. A recent study reported decreased ventromedial prefrontal cortex (vmPFC) H in male adults with ASD. Part of the default mode network (DMN), the vmPFC plays an important role in emotion regulation, decision making, and social cognition. It frequently shows altered function and connectivity in individuals with autism.

Methods

The current study presents the first fMRI evidence of altered early development of vmPFC H and its link to DMN functional connectivity and emotional control in toddlers and preschoolers with ASD. A total of 83 children (45 with ASD), ages 1.5–5 years, underwent natural sleep fMRI as part of a longitudinal study.

Results

In a cross-sectional analysis, vmPFC H decreased with age in children with ASD, reflecting increasing E/I ratio, but not in typically developing children. This effect remained significant when controlling for gestational age at birth, socioeconomic status, or ethnicity. The same pattern was also observed in a subset of children with longitudinal fMRI data acquired 2 years apart on average. Lower vmPFC H was also associated with reduced functional connectivity within the DMN as well as with higher emotional control deficits (although only significant transdiagnostically).

Conclusions

These results suggest an early onset of E/I imbalances in the vmPFC in ASD, with likely consequences for the maturation of the DMN.

背景：大脑中异常的兴奋（E）和抑制（I）平衡被认为是导致自闭症谱系障碍（ASD）出现和症状的原因。E/I比率可通过静息状态功能磁共振成像（fMRI）的赫斯特指数（H）来估算。最近的一项研究报告称，患有 ASD 的男性成年人腹内侧前额叶皮层（vmPFC）的 H 值降低。作为默认模式网络（DMN）的一部分，vmPFC 在情绪调节、决策制定和社会认知方面发挥着重要作用。自闭症患者的vmPFC经常出现功能和连接性改变：本研究首次用fMRI技术证明了自闭症幼儿和学龄前儿童vmPFC H早期发育的改变及其与DMN功能连接（FC）和情绪控制的联系。作为纵向研究的一部分，83名1岁半至5岁的儿童（45名患有自闭症）接受了自然睡眠fMRI检查：在一项横断面分析中，随着年龄的增长，ASD儿童的vmPFC H值下降，这反映了E/I比值的增加，但在发育正常的儿童中却没有这种现象。在控制出生胎龄、社会经济地位或种族的情况下，这一效应仍然明显。在平均相隔两年获取纵向 fMRI 数据的儿童子集中也观察到了相同的模式。较低的vmPFC H进一步与DMN内的FC降低以及较高的情绪控制缺陷相关（尽管仅在转诊断中具有显著性）：这些结果表明，在ASD患者中，vmPFC的E/I失衡很早就开始出现，并可能对DMN的成熟产生影响。

{"title":"Altered Development of the Hurst Exponent in the Medial Prefrontal Cortex in Preschoolers With Autism","authors":"Annika C. Linke , Bosi Chen , Lindsay Olson , Michaela Cordova , Molly Wilkinson , Tiffany Wang , Meagan Herrera , Madison Salmina , Adriana Rios , Judy Mahmalji , Tess Do , Jessica Vu , Michelle Budman , Alexis Walker , Inna Fishman","doi":"10.1016/j.bpsc.2024.09.003","DOIUrl":"10.1016/j.bpsc.2024.09.003","url":null,"abstract":"<div><h3>Background</h3><div>Atypical balance of excitation (E) and inhibition (I) in the brain is thought to contribute to the emergence and symptomatology of autism spectrum disorder (ASD). E/I ratio can be estimated from resting-state functional magnetic resonance imaging (fMRI) using the Hurst exponent, <em>H</em>. A recent study reported decreased ventromedial prefrontal cortex (vmPFC) <em>H</em> in male adults with ASD. Part of the default mode network (DMN), the vmPFC plays an important role in emotion regulation, decision making, and social cognition. It frequently shows altered function and connectivity in individuals with autism.</div></div><div><h3>Methods</h3><div>The current study presents the first fMRI evidence of altered early development of vmPFC <em>H</em> and its link to DMN functional connectivity and emotional control in toddlers and preschoolers with ASD. A total of 83 children (45 with ASD), ages 1.5–5 years, underwent natural sleep fMRI as part of a longitudinal study.</div></div><div><h3>Results</h3><div>In a cross-sectional analysis, vmPFC <em>H</em> decreased with age in children with ASD, reflecting increasing E/I ratio, but not in typically developing children. This effect remained significant when controlling for gestational age at birth, socioeconomic status, or ethnicity. The same pattern was also observed in a subset of children with longitudinal fMRI data acquired 2 years apart on average. Lower vmPFC <em>H</em> was also associated with reduced functional connectivity within the DMN as well as with higher emotional control deficits (although only significant transdiagnostically).</div></div><div><h3>Conclusions</h3><div>These results suggest an early onset of E/I imbalances in the vmPFC in ASD, with likely consequences for the maturation of the DMN.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 10","pages":"Pages 1037-1044"},"PeriodicalIF":4.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303305","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

Abnormal Association Between Neural Activity and Genetic Expressions of Impulsivity in Attention-Deficit/Hyperactivity Disorder: An Adolescent Brain Cognitive Development Study 注意缺陷多动障碍中神经活动与冲动性基因表达的异常关联：一项青少年大脑认知发展研究。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-10-01 DOI: 10.1016/j.bpsc.2025.06.002

Soohyun Jeon , Jae-eon Kang , Jundong Hwang , Vince D. Calhoun , Jong-Hwan Lee

Background

Impulsivity in highly heritable attention-deficit/hyperactivity disorder (ADHD) has been studied using neural activity via functional magnetic resonance imaging (fMRI) or genetic data, but rarely with multivariate methods that link both. We investigated coupled neural activity and gene expression signatures, using parallel independent component analysis (pICA) and ABCD (Adolescent Brain Cognitive Development) Study data.

Methods

Children with ADHD (n = 394; 63% male) and healthy control children (n = 1000; 47% male) of European ancestry were included. The participants were randomly divided into 80% discovery and 20% replication datasets with demographic stratification. We analyzed neural activity and gene expressions from the discovery datasets using pICA and extracted paired independent components (pICs). The loading coefficients of the pICs were utilized to predict behavioral and cognitive data for a stop signal task (SST) in replication datasets.

Results

We identified 3 pICs estimated from gene expression in the cortex, cerebellum, and nucleus accumbens. Significant neural activity was mainly localized to the orbital/inferior/middle frontal gyri, rectal gyrus, precuneus, inferior temporal gyrus, inferior parietal lobule, and cerebellum. Significant gene components were associated with immunoglobulin-, taste receptor–, and immunity-related terms and overlapped with ADHD-related genes. The extracted fMRI-/gene-ICs were significantly correlated with mean reaction time, stop signal reaction time on the SST, and behavioral inhibition, with a large boost in sensitivity when both the paired fMRI-/gene-ICs and their interaction were used in a multimodal regression analysis.

Conclusions

We reported biologically plausible pairs of neural activity and gene sets using pICA, which were significantly associated with ADHD impulsivity–related behavioral and cognitive data.

背景：高遗传性注意缺陷多动障碍（ADHD）的冲动性已经通过fMRI或遗传数据使用神经活动进行了研究，但很少使用多变量方法将两者联系起来。我们利用平行独立成分分析（pICA）和青少年大脑认知发展数据研究了耦合的神经活动和基因表达特征。方法：ADHD患儿(n = 394；63%男性)和健康对照(n = 1,000；其中包括欧洲血统的男性（47%）。受试者随机分为80%发现数据组和20%重复数据组，采用人口统计学分层。我们使用pICA分析了发现数据集的神经活动和基因表达，并提取了配对独立分量（pICs）。利用pICs的加载系数来预测复制数据集中停止信号任务（SST）的行为和认知数据。结果：我们从皮层、小脑和伏隔核的基因表达中鉴定出三种pICs。显著的神经活动主要局限于眶/下/中额回、直肠回、楔前叶、颞下回、下顶叶小叶和小脑。重要的基因成分与免疫球蛋白、味觉受体和免疫相关术语相关，并与adhd相关基因重叠。提取的fMRI-/ gene - ic与平均反应时间、停止信号反应时间和行为抑制显著相关，当配对的fMRI-/ gene - ic及其相互作用用于多模态回归分析时，灵敏度大大提高。结论：我们使用异食癖报告了生物学上可信的神经活动和基因组对，它们与ADHD冲动相关的行为和认知数据显着相关。

{"title":"Abnormal Association Between Neural Activity and Genetic Expressions of Impulsivity in Attention-Deficit/Hyperactivity Disorder: An Adolescent Brain Cognitive Development Study","authors":"Soohyun Jeon , Jae-eon Kang , Jundong Hwang , Vince D. Calhoun , Jong-Hwan Lee","doi":"10.1016/j.bpsc.2025.06.002","DOIUrl":"10.1016/j.bpsc.2025.06.002","url":null,"abstract":"<div><h3>Background</h3><div>Impulsivity in highly heritable attention-deficit/hyperactivity disorder (ADHD) has been studied using neural activity via functional magnetic resonance imaging (fMRI) or genetic data, but rarely with multivariate methods that link both. We investigated coupled neural activity and gene expression signatures, using parallel independent component analysis (pICA) and ABCD (Adolescent Brain Cognitive Development) Study data.</div></div><div><h3>Methods</h3><div>Children with ADHD (<em>n</em> = 394; 63% male) and healthy control children (<em>n</em> = 1000; 47% male) of European ancestry were included. The participants were randomly divided into 80% discovery and 20% replication datasets with demographic stratification. We analyzed neural activity and gene expressions from the discovery datasets using pICA and extracted paired independent components (pICs). The loading coefficients of the pICs were utilized to predict behavioral and cognitive data for a stop signal task (SST) in replication datasets.</div></div><div><h3>Results</h3><div>We identified 3 pICs estimated from gene expression in the cortex, cerebellum, and nucleus accumbens. Significant neural activity was mainly localized to the orbital/inferior/middle frontal gyri, rectal gyrus, precuneus, inferior temporal gyrus, inferior parietal lobule, and cerebellum. Significant gene components were associated with immunoglobulin-, taste receptor–, and immunity-related terms and overlapped with ADHD-related genes. The extracted fMRI-/gene-ICs were significantly correlated with mean reaction time, stop signal reaction time on the SST, and behavioral inhibition, with a large boost in sensitivity when both the paired fMRI-/gene-ICs and their interaction were used in a multimodal regression analysis.</div></div><div><h3>Conclusions</h3><div>We reported biologically plausible pairs of neural activity and gene sets using pICA, which were significantly associated with ADHD impulsivity–related behavioral and cognitive data.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 10","pages":"Pages 1078-1092"},"PeriodicalIF":4.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295503","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

Distinct Computational Mechanisms of Uncertainty Processing Explain Opposing Exploratory Behaviors in Anxiety and Apathy 不确定性处理的不同计算机制解释了焦虑和冷漠中相反的探索行为。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.01.005

Xinyuan Yan , R. Becket Ebitz , Nicola Grissom , David P. Darrow , Alexander B. Herman

Background

Decision making in uncertain environments can lead to varied outcomes, and how we process those outcomes may depend on our emotional state. Understanding how individuals interpret the sources of uncertainty is crucial for understanding adaptive behavior and mental well-being. Uncertainty can be broadly categorized into 2 components: volatility and stochasticity. Volatility describes how quickly conditions change. Stochasticity, on the other hand, refers to outcome randomness. We investigated how anxiety and apathy influenced people’s perceptions of uncertainty and how uncertainty perception shaped explore-exploit decisions.

Methods

Participants (N = 1001, nonclinical sample) completed a restless 3-armed bandit task that was analyzed using both latent state and process models.

Results

Individuals with anxiety perceived uncertainty as resulting more from volatility, leading to increased exploration and learning rates, especially after reward omission. Conversely, individuals with apathy viewed uncertainty as more stochastic, resulting in decreased exploration and learning rates. The perceived volatility to stochasticity ratio mediated the anxiety-exploration relationship post adverse outcomes. Dimensionality reduction showed exploration and uncertainty estimation to be distinct but related latent factors shaping a manifold of adaptive behavior that is modulated by anxiety and apathy.

Conclusions

These findings reveal distinct computational mechanisms for how anxiety and apathy influence decision making, providing a framework for understanding cognitive and affective processes in neuropsychiatric disorders.

背景：在不确定的环境中做决定会导致不同的结果，而我们如何处理这些结果可能取决于我们的情绪状态。了解个体如何解释不确定性的来源对于理解适应性行为和心理健康至关重要。不确定性可以大致分为两部分：波动性和随机性。波动性描述了条件变化的速度。另一方面，随机性指的是结果的随机性。我们研究了焦虑和冷漠如何影响人们对不确定性的感知，以及不确定性感知如何塑造探索-利用决策。方法：参与者（N = 1001，非临床样本）完成了一个不安分的三臂强盗任务，使用潜在状态和过程模型进行分析。结果：焦虑个体认为不确定性更多来自波动性，导致探索和学习率增加，特别是在奖励遗漏后。相反，冷漠的人认为不确定性更随机，导致探索和学习率下降。感知波动-随机比在不良结局后焦虑-探索关系中起中介作用。维数降维表明，探索和不确定性估计是不同但相关的潜在因素，形成了由焦虑和冷漠调节的多种适应行为。结论：这些发现揭示了焦虑和冷漠如何影响决策的不同计算机制，为理解神经精神疾病的认知和情感过程提供了一个框架。

{"title":"Distinct Computational Mechanisms of Uncertainty Processing Explain Opposing Exploratory Behaviors in Anxiety and Apathy","authors":"Xinyuan Yan , R. Becket Ebitz , Nicola Grissom , David P. Darrow , Alexander B. Herman","doi":"10.1016/j.bpsc.2025.01.005","DOIUrl":"10.1016/j.bpsc.2025.01.005","url":null,"abstract":"<div><h3>Background</h3><div>Decision making in uncertain environments can lead to varied outcomes, and how we process those outcomes may depend on our emotional state. Understanding how individuals interpret the sources of uncertainty is crucial for understanding adaptive behavior and mental well-being. Uncertainty can be broadly categorized into 2 components: volatility and stochasticity. Volatility describes how quickly conditions change. Stochasticity, on the other hand, refers to outcome randomness. We investigated how anxiety and apathy influenced people’s perceptions of uncertainty and how uncertainty perception shaped explore-exploit decisions.</div></div><div><h3>Methods</h3><div>Participants (<em>N</em> = 1001, nonclinical sample) completed a restless 3-armed bandit task that was analyzed using both latent state and process models.</div></div><div><h3>Results</h3><div>Individuals with anxiety perceived uncertainty as resulting more from volatility, leading to increased exploration and learning rates, especially after reward omission. Conversely, individuals with apathy viewed uncertainty as more stochastic, resulting in decreased exploration and learning rates. The perceived volatility to stochasticity ratio mediated the anxiety-exploration relationship post adverse outcomes. Dimensionality reduction showed exploration and uncertainty estimation to be distinct but related latent factors shaping a manifold of adaptive behavior that is modulated by anxiety and apathy.</div></div><div><h3>Conclusions</h3><div>These findings reveal distinct computational mechanisms for how anxiety and apathy influence decision making, providing a framework for understanding cognitive and affective processes in neuropsychiatric disorders.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 954-963"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142980880","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

Difficult-to-Treat Anxiety: A Neurocomputational Framework 难以治疗的焦虑：一个神经计算框架。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.03.008

Martin P. Paulus , Murray B. Stein

Anxiety disorders, affecting approximately 1 in 9 individuals globally, impose significant socioeconomic and health burdens, with many individuals failing to achieve symptom remission despite standard treatments. Difficult-to-treat anxiety (DTA) encompasses a broad spectrum of persistent anxiety disorders that remain refractory to conventional interventions, necessitating a shift from rigid response-based criteria to a mechanistically driven framework that integrates computational psychiatry and systems neuroscience. Dysregulated approach-avoidance decision making, where heightened punishment sensitivity, inflexible belief updating, and uncertainty misestimation drive persistent avoidance behaviors and reinforce maladaptive anxiety cycles, is central to DTA. Computational modeling of reinforcement learning tasks reveals exaggerated Pavlovian biases and impaired exploratory learning, while predictive processing models highlight overestimation of threat and rigidity in safety learning, perpetuating chronic anxiety. Neural dysfunction in default mode and negative affective networks, characterized by hyperstable attractor states in the amygdala and impaired top-down regulation by the prefrontal cortex, further sustains maladaptive anxiety states. Novel interventions that target these dysfunctions—such as neuromodulation, precision pharmacotherapy, and personalized digital therapeutics—offer potential breakthroughs in managing DTA. In this review, we synthesize current evidence on computational, neural, and behavioral mechanisms that underlie DTA and propose an integrative, process-targeted approach to assessment and treatment. Future research must refine biomarker-driven subtyping and individualized interventions, moving beyond trial-and-error approaches toward mechanistically informed precision psychiatry for persistent anxiety disorders.

焦虑症影响着全球大约九分之一的人，给社会经济和健康带来了沉重的负担，许多人尽管接受了标准治疗，但仍未能实现症状缓解。难治性焦虑（DTA）涵盖了广泛的持续性焦虑障碍，这些障碍对传统干预措施仍然是难治性的，因此需要从僵化的基于反应的标准转变为结合计算精神病学和系统神经科学的机械驱动框架。DTA的核心是方法回避决策的失调，其中惩罚敏感性升高，信念更新不灵活，不确定性错误估计驱动了持续的回避行为，并强化了适应不良的焦虑循环。强化学习任务的计算模型揭示了夸大的巴甫洛夫偏见和受损的探索性学习，而预测处理模型强调了对安全学习的威胁和僵化的高估，使慢性焦虑长期存在。默认模式和消极情感网络的神经功能障碍，以杏仁核的超稳定吸引状态和前额叶皮层自上而下的调节受损为特征，进一步维持了适应不良的焦虑状态。针对这些功能障碍的新干预措施，如神经调节、精确药物治疗和个性化数字治疗，为管理DTA提供了潜在的突破。这篇综述综合了目前关于DTA的计算、神经和行为机制的证据，提出了一种综合的、以过程为目标的评估和治疗方法。未来的研究必须完善生物标志物驱动的亚型和个性化的干预措施，从试错法转向针对持续性焦虑症的机械信息、精确精神病学。

{"title":"Difficult-to-Treat Anxiety: A Neurocomputational Framework","authors":"Martin P. Paulus , Murray B. Stein","doi":"10.1016/j.bpsc.2025.03.008","DOIUrl":"10.1016/j.bpsc.2025.03.008","url":null,"abstract":"<div><div>Anxiety disorders, affecting approximately 1 in 9 individuals globally, impose significant socioeconomic and health burdens, with many individuals failing to achieve symptom remission despite standard treatments. Difficult-to-treat anxiety (DTA) encompasses a broad spectrum of persistent anxiety disorders that remain refractory to conventional interventions, necessitating a shift from rigid response-based criteria to a mechanistically driven framework that integrates computational psychiatry<span><span><span> and systems neuroscience. Dysregulated approach-avoidance decision making, where heightened punishment sensitivity, inflexible belief updating, and uncertainty misestimation drive persistent avoidance </span>behaviors and reinforce maladaptive anxiety cycles, is central to DTA. Computational modeling of reinforcement learning tasks reveals exaggerated Pavlovian biases and impaired exploratory learning, while predictive processing models highlight overestimation of threat and rigidity in safety learning, perpetuating chronic anxiety. Neural dysfunction in default mode and negative affective networks, characterized by hyperstable attractor states in the </span>amygdala<span> and impaired top-down regulation by the prefrontal cortex<span><span>, further sustains maladaptive anxiety states. Novel interventions that target these dysfunctions—such as neuromodulation<span>, precision pharmacotherapy, and personalized digital therapeutics—offer potential breakthroughs in managing DTA. In this review, we synthesize current evidence on computational, neural, and behavioral mechanisms that underlie DTA and propose an integrative, process-targeted approach to assessment and treatment. Future research must refine biomarker-driven subtyping and individualized interventions, moving beyond trial-and-error approaches toward mechanistically informed precision </span></span>psychiatry for persistent anxiety disorders.</span></span></span></div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 918-925"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756451","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

Subscribers' Page 用户页面

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/S2451-9022(25)00231-9

引用次数: 0

Guide for Authors 作者指南

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/S2451-9022(25)00234-4

引用次数: 0

Multivariate Links Between the Developmental Timing of Adversity Exposure and White Matter Tract Connectivity in Adulthood 逆境暴露的发育时间与成年期白质束连通性之间的多变量联系。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.02.003

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

Background

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.

Methods

In the current study, we leveraged 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.

Results

We found that adversity exposure during preschool age and middle childhood (ages 4–5 and 8 years in particular) were consistently linked across diffusion metrics with alterations in white matter tract connectivity. Whereas tracts supporting sensorimotor functions showed higher connectivity with higher preschool-age and middle childhood adversity exposure, tracts supporting cortico-cortical communication showed lower connectivity. Furthermore, latent patterns of tract connectivity associated with adversity experienced across preschool age and middle childhood (ages 3–8) were associated with posttraumatic stress symptoms in adulthood.

Conclusions

Our findings underscore that adversity exposure may differentially affect white matter in a function- and developmental timing–specific manner and suggest that adversity experienced from ages 3 to 8 years may shape the development of white matter tracts across the brain in ways that are relevant for mental health in adulthood.

背景：生命早期的逆境在世界范围内普遍存在，并且是整个生命周期中心理健康负担增加的一个潜在风险因素。然而，逆境暴露、神经生物学变化和心理健康问题之间的关联存在实质性的个体异质性。考虑到逆境的关键特征，如暴露的发育时间，可能会澄清逆境、神经发育和心理健康之间的联系。方法：本研究利用稀疏典型相关分析来表征107名成年人在发育过程中逆境暴露与整个大脑白质束连通性之间的共变模式。结果：我们发现，在学龄前和儿童中期（特别是4-5岁和8岁），逆境暴露在扩散指标上与白质束连通性的改变始终相关。支持感觉运动功能的神经束在学龄前和儿童中期逆境暴露中表现出较高的连通性，而支持皮质-皮质通讯的神经束表现出较低的连通性。此外，与学龄前和儿童中期（3-8岁）经历的逆境相关的尿道连通性的潜在模式与成年后的创伤后应激症状有关。结论：我们的研究结果强调，逆境暴露可能会以功能和发育时间特定的方式对白质产生不同的影响，并表明3-8岁之间经历的逆境可能会以与成年期心理健康相关的方式塑造大脑白质束的发育。

{"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":"<div><h3>Background</h3><div><span>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, </span>neurodevelopment, and mental health.</div></div><div><h3>Methods</h3><div>In the current study, we leveraged 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.</div></div><div><h3>Results</h3><div><span>We found that adversity exposure during preschool age and middle childhood (ages 4–5 and 8 years in particular) were consistently linked across diffusion metrics with alterations in white matter tract connectivity. Whereas tracts supporting sensorimotor functions showed higher connectivity with higher preschool-age and middle childhood adversity exposure, tracts supporting cortico-cortical communication showed lower connectivity. Furthermore, latent patterns of tract connectivity associated with adversity experienced across preschool age and middle childhood (ages 3–8) were associated with </span>posttraumatic stress symptoms in adulthood.</div></div><div><h3>Conclusions</h3><div>Our findings underscore that adversity exposure may differentially affect white matter in a function- and developmental timing–specific manner and suggest that adversity experienced from ages 3 to 8 years may shape the development of white matter tracts across the brain in ways that are relevant for mental health in adulthood.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 964-977"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470212","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

The Alexithymia Hypothesis of Autism Revisited: Alexithymia Modulates Social Brain Activity During Facial Affect Recognition in Autistic Adults 自闭症述情障碍假说再访：述情障碍调节自闭症成人面部情感识别过程中的社会脑活动。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.01.007

Simon Kirsch , Simon Maier , Muyu Lin , Simón Guendelman , Christian Kaufmann , Isabel Dziobek , Ludger Tebartz van Elst

Background

Both autism spectrum disorder (ASD) and alexithymia are linked to difficulties in facial affect recognition (FAR) together with differences in social brain activity. According to the alexithymia hypothesis, difficulties in emotion processing in ASD can be attributed to increased levels of co-occurring alexithymia. Despite substantial evidence supporting the hypothesis at the behavioral level, the effects of co-occurring alexithymia on brain function during FAR remain unexplored.

Methods

Data from 120 participants (60 ASD, 60 control) who completed an FAR task were analyzed using functional magnetic resonance imaging and behavioral measures. The task included both explicit and implicit measures of FAR. Autistic participants were further categorized based on their alexithymia status. Group differences in FAR performance and associated brain activation were investigated.

Results

Autistic participants showed lower FAR performance than control participants, regardless of alexithymia status. Imaging revealed 3 cortical clusters with reduced activation in participants with alexithymia compared with ASD participants without alexithymia during explicit FAR, including the left inferior parietal gyrus, cuneus, and middle temporal gyrus. During implicit FAR, ASD participants with alexithymia showed 3 cortical clusters of increased activation, including the left precentral gyrus, right precuneus, and temporoparietal junction.

Conclusions

Our study shows an unexpected dissociation between behavior and brain response: While ASD affects FAR performance, only co-occurring alexithymia modulates corresponding social brain activations. Although not supporting the alexithymia hypothesis on the behavioral level, the study highlights the complex relationship between ASD and co-occurring alexithymia, emphasizing the significance of co-occurring conditions in understanding emotion processing in ASD.

背景：自闭症谱系障碍（ASD）和述情障碍都与面部情感识别困难（FAR）以及社会大脑活动差异有关。根据述情障碍假说，ASD患者情绪处理的困难可归因于同时发生的述情障碍水平的提高。尽管在行为层面上有大量证据支持这一假设，但在FAR期间，共同发生的述情障碍对大脑功能的影响仍未得到探索。方法：120名完成FAR任务的参与者（60名ASD， 60名对照组）的数据使用功能磁共振成像和行为测量进行分析。该任务包括FAR的显性和隐性测量。自闭症参与者根据他们的述情障碍状态进一步分类。研究了FAR表现和相关脑激活的组间差异。结果：与对照组相比，无论述情障碍状态如何，自闭症参与者的FAR表现都较低。成像显示，在显式FAR期间，与非述情障碍的ASD参与者相比，述情障碍参与者的三个皮层簇的激活程度降低，包括左顶叶下回、楔叶和颞中回。在隐性FAR期间，述情障碍ASD参与者表现出三个皮层簇的激活增加，包括左中央前回、右楔前叶和颞顶叶连接。讨论：我们的研究显示了行为和大脑反应之间意想不到的分离：当ASD影响FAR表现时，只有同时发生的述情障碍才能调节相应的社会脑激活。虽然在行为层面上不支持述情障碍假说，但该研究强调了ASD与共患述情障碍之间的复杂关系，强调了共患条件对理解ASD情绪加工的重要性。

{"title":"The Alexithymia Hypothesis of Autism Revisited: Alexithymia Modulates Social Brain Activity During Facial Affect Recognition in Autistic Adults","authors":"Simon Kirsch , Simon Maier , Muyu Lin , Simón Guendelman , Christian Kaufmann , Isabel Dziobek , Ludger Tebartz van Elst","doi":"10.1016/j.bpsc.2025.01.007","DOIUrl":"10.1016/j.bpsc.2025.01.007","url":null,"abstract":"<div><h3>Background</h3><div>Both autism spectrum disorder (ASD) and alexithymia are linked to difficulties in facial affect recognition (FAR) together with differences in social brain activity. According to the alexithymia hypothesis, difficulties in emotion processing in ASD can be attributed to increased levels of co-occurring alexithymia. Despite substantial evidence supporting the hypothesis at the behavioral level, the effects of co-occurring alexithymia on brain function during FAR remain unexplored.</div></div><div><h3>Methods</h3><div>Data from 120 participants (60 ASD, 60 control) who completed an FAR task were analyzed using functional magnetic resonance imaging and behavioral measures. The task included both explicit and implicit measures of FAR. Autistic participants were further categorized based on their alexithymia status. Group differences in FAR performance and associated brain activation were investigated.</div></div><div><h3>Results</h3><div>Autistic participants showed lower FAR performance than control participants, regardless of alexithymia status. Imaging revealed 3 cortical clusters with reduced activation in participants with alexithymia compared with ASD participants without alexithymia during explicit FAR, including the left inferior parietal gyrus, cuneus, and middle temporal gyrus. During implicit FAR, ASD participants with alexithymia showed 3 cortical clusters of increased activation, including the left precentral gyrus, right precuneus, and temporoparietal junction.</div></div><div><h3>Conclusions</h3><div>Our study shows an unexpected dissociation between behavior and brain response: While ASD affects FAR performance, only co-occurring alexithymia modulates corresponding social brain activations. Although not supporting the alexithymia hypothesis on the behavioral level, the study highlights the complex relationship between ASD and co-occurring alexithymia, emphasizing the significance of co-occurring conditions in understanding emotion processing in ASD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 988-997"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017767","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

Mapping Neuroinflammation With Diffusion-Weighted Magnetic Resonance Imaging: A Randomized Crossover Study 用弥散加权MRI映射神经炎症：随机交叉研究。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.05.002

Julia R. Plank , Catherine A. Morgan , Flavio Dell’Acqua , Frederick Sundram , Nicholas R. Hoeh , Suresh Muthukumaraswamy , Joanne C. Lin

Background

The pathophysiology of neuroinflammation in psychiatric conditions remains poorly understood, highlighting the need for noninvasive tools that can measure neuroinflammation in vivo. We explored advanced diffusion-weighted magnetic resonance imaging (MRI) techniques for detection of low-level neuroinflammation induced by typhoid vaccine, with potential applications to psychiatric disorders.

Methods

Twenty healthy volunteers (10 males; median age 34, range 18–44 years) participated in a randomized, placebo-controlled, crossover design study. Participants underwent MRI before and after receiving placebo or vaccine in alternating sessions, separated by a washout period. Diffusion tensor (multishell and single shell), diffusion kurtosis, and neurite orientation dispersion and density imaging parameter maps were generated. Probabilistic tractography investigated differences in tract volume, fractional anisotropy, and mean diffusivity (MD) of the tracts. Thirteen tracts and 15 regions were analyzed using a region-of-interest (ROI) approach entered into linear mixed models to evaluate treatment effects.

Results

A treatment effect was observed on white matter tracts derived from XTRACT, with a global reduction in MD (p = .040). White matter tracts of interest showed increased axial kurtosis (p < .001) while gray matter ROIs demonstrated increased mean and radial kurtosis (both ps = .038). Additionally, several correlations were found between the inflammatory marker interleukin 6 and diffusion parameters.

Conclusions

Our findings demonstrate that diffusion-weighted MRI may be sensitive to inflammation-induced microstructural changes in the brain. Future studies should integrate complementary techniques and clinical assessments to deepen our understanding of inflammatory pathophysiology and its implications for health outcomes in clinical populations.

背景：精神疾病中神经炎症的病理生理学仍然知之甚少，这突出了对非侵入性工具的需求，这些工具可以在体内测量神经炎症。我们探索了先进的弥散加权MRI技术来检测伤寒疫苗引起的低水平神经炎症，并有可能应用于精神疾病。方法：20名健康志愿者（10名男性，中位年龄34岁，年龄范围18-44岁）参与了一项随机、安慰剂对照、交叉设计研究。参与者在接受安慰剂或疫苗接种前后交替进行MRI检查，间隔一段洗脱期。生成扩散张量（多壳和单壳）、扩散峰度、神经突取向密度和弥散成像参数图。概率性肛管造影研究了肛管体积、分数各向异性（FA）和平均扩散率（MD）的差异。13个地区和15个地区使用兴趣区域方法进入线性混合模型来评估治疗效果。结果：在XTRACT衍生的白质束上观察到治疗效果，MD总体减少（p= 0.040）。结论：我们的研究结果表明，弥散加权MRI可能对炎症引起的大脑微结构变化敏感。未来的研究应整合互补技术和临床评估，以加深我们对炎症病理生理学及其对临床人群健康结果的影响的理解。

{"title":"Mapping Neuroinflammation With Diffusion-Weighted Magnetic Resonance Imaging: A Randomized Crossover Study","authors":"Julia R. Plank , Catherine A. Morgan , Flavio Dell’Acqua , Frederick Sundram , Nicholas R. Hoeh , Suresh Muthukumaraswamy , Joanne C. Lin","doi":"10.1016/j.bpsc.2025.05.002","DOIUrl":"10.1016/j.bpsc.2025.05.002","url":null,"abstract":"<div><h3>Background</h3><div>The pathophysiology of neuroinflammation in psychiatric conditions remains poorly understood, highlighting the need for noninvasive tools that can measure neuroinflammation in vivo. We explored advanced diffusion-weighted magnetic resonance imaging (MRI) techniques for detection of low-level neuroinflammation induced by typhoid vaccine, with potential applications to psychiatric disorders.</div></div><div><h3>Methods</h3><div>Twenty healthy volunteers (10 males; median age 34, range 18–44 years) participated in a randomized, placebo-controlled, crossover design study. Participants underwent MRI before and after receiving placebo or vaccine in alternating sessions, separated by a washout period. Diffusion tensor (multishell and single shell), diffusion kurtosis, and neurite orientation dispersion and density imaging parameter maps were generated. Probabilistic tractography investigated differences in tract volume, fractional anisotropy, and mean diffusivity (MD) of the tracts. Thirteen tracts and 15 regions were analyzed using a region-of-interest (ROI) approach entered into linear mixed models to evaluate treatment effects.</div></div><div><h3>Results</h3><div>A treatment effect was observed on white matter tracts derived from XTRACT, with a global reduction in MD (<em>p</em> = .040). White matter tracts of interest showed increased axial kurtosis (<em>p</em> < .001) while gray matter ROIs demonstrated increased mean and radial kurtosis (both <em>p</em>s = .038). Additionally, several correlations were found between the inflammatory marker interleukin 6 and diffusion parameters.</div></div><div><h3>Conclusions</h3><div>Our findings demonstrate that diffusion-weighted MRI may be sensitive to inflammation-induced microstructural changes in the brain. Future studies should integrate complementary techniques and clinical assessments to deepen our understanding of inflammatory pathophysiology and its implications for health outcomes in clinical populations.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 944-953"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086780","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

Transfer Learning of Deep Neural Networks Pretrained Using the ABCD Dataset for General Psychopathology Prediction in Korean Adolescents 使用ABCD数据集预训练的深度神经网络迁移学习用于韩国青少年一般精神病理预测。

IF 4.8 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2025-09-01 DOI: 10.1016/j.bpsc.2025.04.005

Jundong Hwang , Jae-eon Kang , Soohyun Jeon , Kyung Hwa Lee , Jae-Won Kim , Jong-Hwan Lee

Background

In this study, we examined whether a deep neural network (DNN), trained to predict the general psychopathology factor (p factor) using functional magnetic resonance imaging (fMRI) data from adolescents in the ABCD (Adolescent Brain Cognitive Development) Study, would generalize to Korean adolescents.

Methods

We trained a scanner-generalization neural network (SGNN) to predict p factor scores from resting-state functional connectivity (RSFC) data of 6905 ABCD Study adolescents, controlling for MRI scanner–related confounds. Then, we transferred the pretrained SGNN to a DNN to predict p factor scores for 125 adolescents, including healthy individuals and individuals with major depressive disorder, using data from Seoul National University Hospital (SNUH). We compared the transferred DNN’s performance with that of kernel ridge regression (KRR) and a baseline DNN.

Results

The transferred DNN outperformed KRR (0.17 ± 0.16; 0.60 ± 0.07) and the baseline DNN (0.17 ± 0.16; 0.69 ± 0.11), with a higher Pearson’s correlation coefficient (0.29 ± 0.18) and lower mean absolute error (0.59 ± 0.09; p < .005). We identified the default mode network (DMN) and visual network (VIS) as crucial functional networks for predicting p factors across both datasets. The dorsal attention network was specific to the ABCD Study dataset, while the cingulo-opercular and ventral attention networks were specific to the SNUH dataset.

Conclusions

The transferred SGNN successfully generalized to Korean adolescents. Altered RSFC in the DMN and VIS may serve as promising biomarkers for p factor prediction across diverse populations, addressing heterogeneity in demographics, diagnoses, and MRI scanner characteristics.

背景：本研究探讨了深层神经网络（DNN）是否可以在青少年大脑认知发展（ABCD）研究中使用功能磁共振成像（fMRI）数据来预测一般精神病理因素（p-因子），并推广到韩国青少年。方法：在控制MRI扫描仪相关混杂因素的情况下，我们训练了一个扫描仪-概化神经网络（SGNN），从6905名ABCD青少年的静息状态功能连接（RSFC）数据中预测p因子得分。然后，我们使用首尔国立大学医院（SNUH）的数据，将预训练的SGNN转移到DNN，以预测125名青少年的p因子得分，包括健康个体和重度抑郁症患者。我们将转移的深度神经网络的性能与核脊回归（KRR）和基线深度神经网络的性能进行了比较。结果：转移DNN优于KRR(0.17±0.16；0.60±0.07)和基线DNN(0.17±0.16；0.69±0.11)，Pearson相关系数较高（0.29±0.18），平均绝对误差较低（0.59±0.09）；P < 0.005)。我们确定默认模式网络（DMN）和视觉网络（VIS）是预测两个数据集p因子的关键功能网络（FNs）。背侧注意网络是ABCD所特有的，而扣带-眼和腹侧注意网络是SNUH所特有的。结论：转移的SGNN在韩国青少年中推广成功。DMN和VIS中RSFC的改变可以作为不同人群p因子预测的有希望的生物标志物，解决人口统计学、诊断和MRI扫描仪特征的异质性。

{"title":"Transfer Learning of Deep Neural Networks Pretrained Using the ABCD Dataset for General Psychopathology Prediction in Korean Adolescents","authors":"Jundong Hwang , Jae-eon Kang , Soohyun Jeon , Kyung Hwa Lee , Jae-Won Kim , Jong-Hwan Lee","doi":"10.1016/j.bpsc.2025.04.005","DOIUrl":"10.1016/j.bpsc.2025.04.005","url":null,"abstract":"<div><h3>Background</h3><div><span>In this study, we examined whether a deep neural network (DNN), trained to predict the general psychopathology factor (</span><em>p</em> factor) using functional magnetic resonance imaging (fMRI) data from adolescents in the ABCD (Adolescent Brain Cognitive Development) Study, would generalize to Korean adolescents.</div></div><div><h3>Methods</h3><div>We trained a scanner-generalization neural network (SGNN) to predict <em>p</em><span> factor scores from resting-state functional connectivity (RSFC) data of 6905 ABCD Study adolescents, controlling for MRI scanner–related confounds. Then, we transferred the pretrained SGNN to a DNN to predict </span><em>p</em> factor scores for 125 adolescents, including healthy individuals and individuals with major depressive disorder, using data from Seoul National University Hospital (SNUH). We compared the transferred DNN’s performance with that of kernel ridge regression (KRR) and a baseline DNN.</div></div><div><h3>Results</h3><div>The transferred DNN outperformed KRR (0.17 ± 0.16; 0.60 ± 0.07) and the baseline DNN (0.17 ± 0.16; 0.69 ± 0.11), with a higher Pearson’s correlation coefficient (0.29 ± 0.18) and lower mean absolute error (0.59 ± 0.09; <em>p</em><span> < .005). We identified the default mode network (DMN) and visual network (VIS) as crucial functional networks for predicting </span><em>p</em> factors across both datasets. The dorsal attention network was specific to the ABCD Study dataset, while the cingulo-opercular and ventral attention networks were specific to the SNUH dataset.</div></div><div><h3>Conclusions</h3><div>The transferred SGNN successfully generalized to Korean adolescents. Altered RSFC in the DMN and VIS may serve as promising biomarkers for <em>p</em> factor prediction across diverse populations, addressing heterogeneity in demographics, diagnoses, and MRI scanner characteristics.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 926-935"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045071","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