A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103584
Kyle M. Jensen , Vince D. Calhoun , Zening Fu , Kun Yang , Andreia V. Faria , Koko Ishizuka , Akira Sawa , Pablo Andrés-Camazón , Brian A. Coffman , Dylan Seebold , Jessica A. Turner , Dean F. Salisbury , Armin Iraji
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Abstract

Psychosis (including symptoms of delusions, hallucinations, and disorganized conduct/speech) is a main feature of schizophrenia and is frequently present in other major psychiatric illnesses. Studies in individuals with first-episode (FEP) and early psychosis (EP) have the potential to interpret aberrant connectivity associated with psychosis during a period with minimal influence from medication and other confounds. The current study uses a data-driven whole-brain approach to examine patterns of aberrant functional network connectivity (FNC) in a multi-site dataset comprising resting-state functional magnetic resonance images (rs-fMRI) from 117 individuals with FEP or EP and 130 individuals without a psychiatric disorder, as controls. Accounting for age, sex, race, head motion, and multiple imaging sites, differences in FNC were identified between psychosis and control participants in cortical (namely the inferior frontal gyrus, superior medial frontal gyrus, postcentral gyrus, supplementary motor area, posterior cingulate cortex, and superior and middle temporal gyri), subcortical (the caudate, thalamus, subthalamus, and hippocampus), and cerebellar regions. The prominent pattern of reduced cerebellar connectivity in psychosis is especially noteworthy, as most studies focus on cortical and subcortical regions, neglecting the cerebellum. The dysconnectivity reported here may indicate disruptions in cortical-subcortical-cerebellar circuitry involved in rudimentary cognitive functions which may serve as reliable correlates of psychosis.

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对首发和早期精神病的全脑神经标记静息态fMRI分析:皮层-皮层下-小脑功能回路异常的证据
精神病(包括妄想、幻觉和行为/言语混乱等症状)是精神分裂症的主要特征,也经常出现在其他主要精神病中。对首发(FEP)和早期精神病(EP)患者的研究有可能解释与精神病相关的异常连接,因为在此期间药物和其他混杂因素的影响最小。目前的研究采用数据驱动的全脑方法,在一个由117名FEP或EP患者和130名无精神障碍患者作为对照的静息态功能磁共振图像(rs-fMRI)组成的多站点数据集中,研究异常功能网络连接(FNC)的模式。考虑到年龄、性别、种族、头部运动和多个成像部位,结果发现精神病患者和对照组患者在皮质(即额叶下回、额叶上内侧回、中央后回、辅助运动区、扣带回后皮质、颞上回和颞中回)、皮质下(尾状核、丘脑、小丘脑下和海马)和小脑区域的 FNC 存在差异。特别值得注意的是,精神病患者的小脑连通性显著降低,因为大多数研究都侧重于皮层和皮层下区域,而忽略了小脑。这里报告的连接性障碍可能表明皮层-皮层下-小脑回路出现了紊乱,这些回路参与了基本的认知功能,可能是精神病的可靠相关因素。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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