精神错乱体验、精神分裂症和躁郁症患者大脑功能网络的规模和拓扑图

Daniel Mamah , Shing Shiun Chen , Evan Gordon , Sridhar Kandala , Deanna M. Barch , Michael P. Harms
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引用次数: 0

摘要

背景现有的精神病功能连接研究使用的是人群平均功能网络图,尽管这些网络在整个大脑表面的拓扑结构变化很大。我们的目的是确定普通人群的功能网络区域和拓扑图,以及与精神病性体验(PEs)和障碍相关的变化。方法使用特定于个体的模板匹配程序,为人类连接组项目青年成人队列(n = 1003)和匹配病例队列(精神分裂症 [SCZ],n = 27;双相情感障碍,n = 35)中的每位参与者生成 8 个功能网络图。在人类连接组计划年轻成人队列中,PE 是根据 Achenbach 自我报告量表的得分估算的。结果在人类连接组计划的年轻成人参与者中,语言网络(LAN)和背侧注意力网络(DAN)区域的增加以及丘脑-小脑网络区域的减少(r <0.12)可预测Achenbach思想问题量表中PE的严重程度。在 SCZ 中发现了显著的影响,DAN 和 LAN 变大,额顶网络变小。SCZ 的网络模式分析显示,左侧颞上回后部区域和左侧岛叶视觉网络出现 LAN 的概率增加。SCZ患者的回归分析发现,情绪失调与DAN表面积的增加有关。网络发现可预测精神病的发展并指导早期干预。
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Size and Topography of the Brain’s Functional Networks with Psychotic Experiences, Schizophrenia, and Bipolar Disorder

Background

Existing functional connectivity studies of psychosis use population-averaged functional network maps, despite highly variable topographies of these networks across the brain surface. We aimed to define the functional network areas and topographies in the general population and the changes associated with psychotic experiences (PEs) and disorders.

Methods

Maps of 8 functional networks were generated using an individual-specific template-matching procedure for each participant from the Human Connectome Project Young Adult cohort (n = 1003) and from a matched case cohort (schizophrenia [SCZ], n = 27; bipolar disorder, n = 35) scanned identically with the same Connectom scanner. In the Human Connectome Project Young Adult cohort, PEs were estimated based on scores from the Achenbach Self-Report Scale. The relationship of symptoms to the probability of network representation at each cortical vertex was assessed using logistic regression.

Results

In Human Connectome Project Young Adult participants, PE severity on the Achenbach thought problems scale was predicted by increased language network (LAN) and dorsal attention network (DAN) areas and decreased cingulo-opercular network area (r < 0.12). Significant effects were found in SCZ, with a larger DAN and LAN and a smaller frontoparietal network. Network pattern analysis in SCZ showed an increased probability of LAN in the posterior region of the left superior temporal gyrus and of the visual network in the left insula. Regression analyses in SCZ found that mood dysregulation was related to increased DAN surface area.

Conclusions

Those with PEs and SCZ showed abnormal functional network cortical topographies, particularly involving DAN and LAN. Network findings may predict psychosis progression and guide earlier intervention.
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来源期刊
Biological psychiatry global open science
Biological psychiatry global open science Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
0
审稿时长
91 days
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