Time-varying synergy/redundancy dominance in the human cerebral cortex.

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Physics Complexity Pub Date : 2025-03-01 Epub Date: 2025-03-14 DOI:10.1088/2632-072X/adbaa9
Maria Pope, Thomas F Varley, Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns
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引用次数: 0

Abstract

Recent work has emphasized the ubiquity of higher-order interactions in brain function. These interactions can be characterized as being either redundancy or synergy-dominated by applying tools from multivariate information theory. Though recent work has shown the importance of both synergistic and redundant interactions to brain function, their dynamic structure is still unknown. Here we analyze the moment-to-moment synergy and redundancy dominance of the fMRI BOLD signal during rest for 95 unrelated subjects to show that redundant and synergistic interactions have highly structured dynamics across many interaction sizes. The whole brain is strongly redundancy-dominated, with some subjects never experiencing a whole-brain synergistic moment. In small sets of brain regions, our analyses reveal that subsets which are redundancy dominated on average exhibit the most complex dynamic behavior as well as the most synergistic and most redundant time points. In accord with previous work, these regions frequently belong to a single coherent functional system, and our analysis reveals that they become synergistic when that functional system becomes momentarily disintegrated. Although larger subsets cannot be contained in a single functional network, similar patterns of instantaneous disintegration mark when they become synergistic. At all sizes of interaction, we find notable temporal structure of both synergy and redundancy-dominated interactions. We show that the interacting nodes change smoothly in time and have significant recurrence. Both of these properties make time-localized measures of synergy and redundancy highly relevant to future studies of behavior or cognition as time-resolved phenomena.

人类大脑皮层时变协同/冗余优势。
最近的研究强调了大脑功能中普遍存在的高阶相互作用。这些相互作用可以被描述为冗余或协同——通过应用多变量信息理论的工具来主导。虽然最近的研究显示了协同和冗余相互作用对大脑功能的重要性,但它们的动态结构仍然未知。在这里,我们分析了95名不相关受试者休息时fMRI BOLD信号的时刻-时刻协同和冗余优势,以表明冗余和协同相互作用在许多相互作用规模中具有高度结构化的动态。整个大脑是强烈的冗余支配,一些受试者从未经历过全脑协同时刻。在小的大脑区域集中,我们的分析表明,平均而言,冗余占主导地位的子集表现出最复杂的动态行为,以及最协同和最冗余的时间点。与之前的工作一致,这些区域经常属于一个单一的连贯的功能系统,我们的分析表明,当该功能系统暂时解体时,它们变得协同。虽然更大的子集不能包含在一个单一的功能网络中,但当它们成为协同作用时,类似的瞬间解体模式标志着。在所有规模的相互作用中,我们发现协同和冗余主导的相互作用的显著时间结构。结果表明,相互作用的节点随时间平滑变化,并具有显著的递归性。这两种特性使得协同和冗余的时间局部度量与行为或认知作为时间解决现象的未来研究高度相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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