Posterior Cerebellar Resting-State Functional Hypoconnectivity: A Neural Marker of Schizophrenia Across Different Stages of Treatment Response

精神分裂症(面向对象编程) 心理学 静息状态功能磁共振成像 精神分裂症谱 精神科 神经科学 内科学 医学 精神病
作者
Urvakhsh Meherwan Mehta,Dhruva Ithal,Neelabja Roy,Shreshth Shekhar,Ramajayam Govindaraj,Chaitra T. Ramachandraiah,Nicolas R. Bolo,Rose Dawn Bharath,Jagadisha Thirthalli,Ganesan Venkatasubramanian,Bangalore N. Gangadhar,Matcheri S. Keshavan
出处
期刊:Biological Psychiatry [Elsevier]
卷期号:96 (5): 365-375 被引量:5
标识
DOI:10.1016/j.biopsych.2024.01.027
摘要

Abstract

Background

Identifying stable and consistent resting-state functional connectivity patterns across illness trajectories has the potential to be considered fundamental to the pathophysiology of schizophrenia. We aimed to identify consistent resting-state functional connectivity patterns across heterogeneous schizophrenia groups defined based on treatment response.

Methods

In phase 1, we used a cross-sectional case-control design to characterize and compare stable independent component networks from resting-state functional magnetic resonance imaging scans of antipsychotic-naïve participants with first-episode schizophrenia (n = 54) and healthy participants (n = 43); we also examined associations with symptoms, cognition, and disability. In phase 2, we examined the stability (and replicability) of our phase 1 results in 4 groups (N = 105) representing a cross-sequential gradation of schizophrenia based on treatment response: risperidone responders, clozapine responders, clozapine nonresponders, and clozapine nonresponders following electroconvulsive therapy. Hypothesis-free whole-brain within- and between-network connectivity were examined.

Results

Phase 1 identified posterior and anterior cerebellar hypoconnectivity and limbic hyperconnectivity in schizophrenia at a familywise error rate–corrected cluster significance threshold of p < .01. These network aberrations had unique associations with positive symptoms, cognition, and disability. During phase 2, we replicated the phase 1 results while comparing each of the 4 schizophrenia groups to the healthy participants. The participants in 2 longitudinal subdatasets did not demonstrate a significant change in these network aberrations following risperidone or electroconvulsive therapy. Posterior cerebellar hypoconnectivity (with thalamus and cingulate) emerged as the most consistent finding; it was replicated across different stages of treatment response (Cohen's d range −0.95 to −1.44), reproduced using different preprocessing techniques, and not confounded by educational attainment.

Conclusions

Posterior cerebellar-thalamo-cingulate hypoconnectivity is a consistent and stable state-independent neural marker of schizophrenia.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
Snow886发布了新的文献求助10
3秒前
4秒前
whiskyzz完成签到,获得积分10
4秒前
科研通AI6.2应助零点零壹采纳,获得10
4秒前
jiayou发布了新的文献求助10
4秒前
5秒前
66完成签到 ,获得积分10
8秒前
8秒前
9秒前
wind发布了新的文献求助10
9秒前
科研通AI6.1应助东皇太一采纳,获得10
9秒前
JamesPei应助心随以动采纳,获得10
10秒前
10秒前
Ztx完成签到,获得积分10
11秒前
11秒前
一丁雨发布了新的文献求助10
13秒前
15秒前
JamesPei应助真实的火车采纳,获得10
17秒前
LSY完成签到,获得积分10
19秒前
肥猫完成签到,获得积分10
20秒前
20秒前
20秒前
Snow886完成签到,获得积分10
22秒前
23秒前
墨雨梧桐完成签到 ,获得积分10
23秒前
baldman完成签到,获得积分10
24秒前
DoLaso完成签到,获得积分10
24秒前
Skuld应助wzzznh采纳,获得10
26秒前
18275412695发布了新的文献求助10
26秒前
27秒前
桥桥发布了新的文献求助10
29秒前
姜小时完成签到,获得积分10
31秒前
31秒前
31秒前
32秒前
与共完成签到 ,获得积分10
32秒前
32秒前
36秒前
汉堡包应助桥桥采纳,获得10
36秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6020282
求助须知:如何正确求助?哪些是违规求助? 7617378
关于积分的说明 16164372
捐赠科研通 5167843
什么是DOI,文献DOI怎么找? 2765864
邀请新用户注册赠送积分活动 1747825
关于科研通互助平台的介绍 1635821