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思维控制困难个体差异的多变量神经标志物

Multivariate Neural Markers of Individual Differences in Thought Control Difficulties.

作者信息

DeRosa Jacob, Smolker Harry, Kim Hyojeong, Groff Boman, Lewis-Peacock Jarrod, Banich Marie

出版信息

Res Sq. 2025 Mar 31:rs.3.rs-5945138. doi: 10.21203/rs.3.rs-5945138/v1.

Abstract

Difficulties in controlling thought, including pathological rumination, worry, and intrusive thoughts, occur in a range of mental health disorders. Here we identify specific patterns of brain activity distributed within and across canonical brain networks that are associated with self-reported difficulties in controlling one's thoughts. These activity patterns were derived using multivariate pattern analysis on fMRI data recorded while participants engaged in one of four operations on an item in working memory: maintaining it, replacing it with another, specifically suppressing it, or clearing the mind of all thought. Individuals who reported greater difficulties exhibited brain activation patterns that were more variable and less differentiated across the four operations in frontoparietal and default mode networks, and showed less distinct patterns of connectivity within the default mode network. These activity profiles were absent during rest but serve as promising task-based neural markers, explaining over 30% of the variance in thought control difficulties.

摘要

控制思维的困难,包括病理性沉思、担忧和侵入性思维,在一系列心理健康障碍中都会出现。在这里,我们识别出了大脑活动的特定模式,这些模式分布在典型的大脑网络内部及之间,与自我报告的控制思维困难相关。这些活动模式是通过对功能磁共振成像(fMRI)数据进行多变量模式分析得出的,这些数据是在参与者对工作记忆中的一个项目进行以下四种操作之一时记录的:保持它、用另一个项目替换它、专门抑制它或清空脑海中的所有想法。报告有更大困难的个体在前额叶顶叶网络和默认模式网络中,其大脑激活模式在这四种操作中更具变异性且区分度更低,并且在默认模式网络内显示出不太明显的连接模式。这些活动特征在休息时不存在,但作为基于任务的有前景的神经标志物,解释了思维控制困难中超过30%的方差。

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本文引用的文献

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