Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

英文中文

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

Bridging Inflammation and Brain Microstructure: Diffusion Magnetic Resonance Imaging as a Window Into Psychiatric Neurobiology 桥接炎症和大脑微观结构：扩散磁共振成像作为进入精神神经生物学的窗口

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.2025.06.006

Lena K.L. Oestreich

引用次数: 0

Editorial Board Page 编委会页面

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)00230-7

引用次数: 0

Altered Neural Responses to Punishment Learning in Conduct Disorder 行为障碍患者对惩罚学习的神经反应改变。

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.2025.01.003

Erik M. Elster , Ruth Pauli , Graeme Fairchild , Maria McDonald , Sarah Baumann , Justina Sidlauskaite , Stephane De Brito , Christine M. Freitag , Kerstin Konrad , Veit Roessner , Inti A. Brazil , Patricia L. Lockwood , Gregor Kohls

Background

Conduct disorder (CD) is associated with deficits in the use of punishment for reinforcement learning (RL) and subsequent decision making, contributing to reckless, antisocial, and aggressive behaviors. Here, we used functional magnetic resonance imaging (fMRI) to examine whether differences in behavioral learning rates derived from computational modeling, particularly for punishment, are reflected in aberrant neural responses in youths with CD compared with typically developing control participants (TDCs).

Methods

A total of 75 youths with CD and 99 TDCs (9–18 years, 47% girls) performed a probabilistic RL task with punishment, reward, and neutral contingencies. Using fMRI data in conjunction with computational modeling indices (learning rate α), we investigated group differences for the 3 learning conditions in whole-brain and region of interest (ROI) analyses, including the ventral striatum and insula.

Results

Whole-brain analysis revealed typical neural responses for RL in both groups. However, linear regression models for the ROI analyses revealed that only the response pattern of the (anterior) insula during punishment learning was different in participants with CD compared with TDCs.

Conclusions

Youths with CD have atypical neural responses to learning from punishment (but not from reward), specifically in the insula. This suggests a selective dysfunction of RL mechanisms in CD that contributes to punishment insensitivity/hyposensitivity as a hallmark of the disorder. Because the (anterior) insula is involved in avoidance behaviors related to negative affect or arousal, insula dysfunction in CD may contribute to inappropriate behavioral decision making, which increases the risk for reckless, antisocial, and aggressive behaviors in affected youth.

目的：行为障碍（CD）与强化学习（RL）和后续决策的惩罚使用缺陷有关，导致鲁莽、反社会和攻击行为。在这里，我们使用功能性磁共振成像（fMRI）来检查计算模型产生的行为学习率的差异，特别是对惩罚的差异，是否反映在患有CD的青少年与正常发育的对照组（TDCs）的异常神经反应中。方法：75名患有CD的青少年和99名患有tdc的青少年（9-18岁，其中47%为女孩）执行一项带有惩罚、奖励和中性偶然性的概率RL任务。利用fMRI数据结合计算建模指数（学习率α），研究了三种学习条件下全脑和兴趣区（ROI）分析的组间差异，包括腹侧纹状体和脑岛。结果：全脑分析显示两组RL的典型神经反应。然而，ROI分析的线性回归模型显示，与tdc相比，CD在惩罚学习过程中只有（前）脑岛的反应模式不同。结论：患有乳糜泻的青少年对从惩罚中学习（而不是从奖励中学习）有非典型的神经反应，特别是在脑岛。这表明CD中RL机制的选择性功能障碍，从而导致了作为该疾病标志的“惩罚不敏感/低敏感性”。由于（前）脑岛参与与消极情绪或觉醒相关的回避行为，乳糜泄患者的脑岛功能障碍可能导致不适当的行为决策，从而增加患青少年鲁莽、反社会和攻击行为的风险。

{"title":"Altered Neural Responses to Punishment Learning in Conduct Disorder","authors":"Erik M. Elster , Ruth Pauli , Graeme Fairchild , Maria McDonald , Sarah Baumann , Justina Sidlauskaite , Stephane De Brito , Christine M. Freitag , Kerstin Konrad , Veit Roessner , Inti A. Brazil , Patricia L. Lockwood , Gregor Kohls","doi":"10.1016/j.bpsc.2025.01.003","DOIUrl":"10.1016/j.bpsc.2025.01.003","url":null,"abstract":"<div><h3>Background</h3><div>Conduct disorder (CD) is associated with deficits in the use of punishment for reinforcement learning (RL) and subsequent decision making, contributing to reckless, antisocial, and aggressive behaviors. Here, we used functional magnetic resonance imaging (fMRI) to examine whether differences in behavioral learning rates derived from computational modeling, particularly for punishment, are reflected in aberrant neural responses in youths with CD compared with typically developing control participants (TDCs).</div></div><div><h3>Methods</h3><div>A total of 75 youths with CD and 99 TDCs (9–18 years, 47% girls) performed a probabilistic RL task with punishment, reward, and neutral contingencies. Using fMRI data in conjunction with computational modeling indices (learning rate α), we investigated group differences for the 3 learning conditions in whole-brain and region of interest (ROI) analyses, including the ventral striatum and insula.</div></div><div><h3>Results</h3><div>Whole-brain analysis revealed typical neural responses for RL in both groups. However, linear regression models for the ROI analyses revealed that only the response pattern of the (anterior) insula during punishment learning was different in participants with CD compared with TDCs.</div></div><div><h3>Conclusions</h3><div>Youths with CD have atypical neural responses to learning from punishment (but not from reward), specifically in the insula. This suggests a selective dysfunction of RL mechanisms in CD that contributes to punishment insensitivity/hyposensitivity as a hallmark of the disorder. Because the (anterior) insula is involved in avoidance behaviors related to negative affect or arousal, insula dysfunction in CD may contribute to inappropriate behavioral decision making, which increases the risk for reckless, antisocial, and aggressive behaviors in affected youth.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 936-943"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142980870","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

Addressing Altered Anticipation as a Transdiagnostic Target Through Computational Psychiatry 通过计算精神病学处理作为跨诊断目标的改变预期。

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.2025.02.014

Pradyumna Sepúlveda , Ines Aitsahalia , Krishan Kumar , Tobias Atkin , Kiyohito Iigaya

Anticipation of future experiences is a crucial cognitive function impacted in various psychiatric conditions. Despite significant research advancements, the mechanisms that underlie altered anticipation remain poorly understood, and effective targeted treatments are largely lacking. In this review, we propose an integrated computational psychiatry approach to addressing these challenges. We begin by outlining how altered anticipation presents across different psychiatric conditions, including schizophrenia, major depressive disorder, anxiety disorders, substance use disorders, and eating disorders, and summarizing the insights that have been gained from extensive research using self-report scales and task-based neuroimaging despite notable limitations. Then, we explore how emerging computational modeling approaches, such as reinforcement learning and anticipatory utility theory, could overcome these limitations and offer deeper insights into underlying mechanisms and individual variations. We propose that integrating these interdisciplinary methodologies can offer comprehensive transdiagnostic insights, aiding the discovery of new therapeutic targets and advancing precision psychiatry.

对未来经历的预期是一种重要的认知功能，在各种精神疾病中受到影响。尽管研究取得了重大进展，但对改变预期的机制仍然知之甚少，而且在很大程度上缺乏有效的靶向治疗。本综述提出了一种综合计算精神病学方法来解决这些挑战。我们首先概述了在不同的精神疾病中，包括精神分裂症、重度抑郁症、焦虑症、物质使用障碍和饮食障碍，如何改变预期，并总结了使用自我报告量表和基于任务的神经影像学进行的广泛研究所获得的见解，尽管存在明显的局限性。然后，我们探讨了新兴的计算建模方法，如强化学习和预期效用理论，如何克服这些限制，并对潜在机制和个体差异提供更深入的见解。我们建议整合这些跨学科的方法可以提供全面的跨诊断见解，帮助发现新的治疗靶点和推进精确精神病学。

{"title":"Addressing Altered Anticipation as a Transdiagnostic Target Through Computational Psychiatry","authors":"Pradyumna Sepúlveda , Ines Aitsahalia , Krishan Kumar , Tobias Atkin , Kiyohito Iigaya","doi":"10.1016/j.bpsc.2025.02.014","DOIUrl":"10.1016/j.bpsc.2025.02.014","url":null,"abstract":"<div><div>Anticipation of future experiences is a crucial cognitive function impacted in various psychiatric conditions<span>. Despite significant research advancements, the mechanisms that underlie altered anticipation remain poorly understood, and effective targeted treatments are largely lacking. In this review, we propose an integrated computational psychiatry<span><span> approach to addressing these challenges. We begin by outlining how altered anticipation presents across different psychiatric conditions, including schizophrenia, major depressive disorder, anxiety disorders, substance use disorders, and </span>eating disorders<span>, and summarizing the insights that have been gained from extensive research using self-report scales and task-based neuroimaging despite notable limitations. Then, we explore how emerging computational modeling approaches, such as reinforcement learning and anticipatory utility theory, could overcome these limitations and offer deeper insights into underlying mechanisms and individual variations. We propose that integrating these interdisciplinary methodologies can offer comprehensive transdiagnostic insights, aiding the discovery of new therapeutic targets and advancing precision psychiatry.</span></span></span></div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 9","pages":"Pages 903-917"},"PeriodicalIF":4.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143588799","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

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀