Tracing neurodiverse disruptions underlying emotional episodic memory to diagnosis-specific network of emotional regulation in psychiatric disorders

Author:

Xiao Yang,Li Mingzhu,Zhang Xiao,Zhang Yuyanan,Ge Yuqi,Lu Zhe,Ma Mengying,Song Yuqing,Tan Hao-Yang,Zhang Dai,Yue Weihua,Yan Hao

Abstract

AbstractObjectiveEmotional dysfunctions are prevalent across various psychiatric disorders, leading to diverse emotional problems. Disrupted emotional episodic memory is a prominent deficit and may underlie various affective symptoms in clinical phenotypes. However, diagnosis-specific of neurodiverse disruptions remain elusive.MethodsWe used task-based functional magnetic resonance imaging (fMRI) and a normative modelling framework to establish a reference for functional activation during emotional episodic memory, drawing from a large dataset of healthy individuals (n = 409). Individualized deviations from this reference were evaluated using a clinical dataset of 328 participants, which included 168 healthy controls and patients with major depressive disorder (MDD, n = 56), bipolar disorder (BD, n = 31), and schizophrenia (SZ, n = 73). Regional deviations were mapped to four large-scale emotional regulation networks and used to predict affective symptoms across different mental disorders.ResultsWe constructed a verifiable normative model of functional activation during emotional episodic memory to parse clinical heterogeneity. Diagnosis-specific regional deviations were enriched in the non-overlapping large-scale emotional regulation networks: MDD showed enrichment in emotion regulation network related to emotion perception and generation, BD in cognitive appraisal and emotional reactivity, and SZ in working memory and response inhibition. Individualized deviations significantly predicted affective symptom in distinct disorder, and specific emotional regulation network showed maximum feature weight.ConclusionsThese findings have potential implications for the understanding of dissociable neuropathological patterns of affective symptoms and improving individualized clinical diagnosis and treatment in psychiatric disorders.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3