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

冗余(工程) 计算机科学 神经科学 优势(遗传学) 多元统计 心理学 生物 机器学习 生物化学 基因 操作系统
作者
Maria Pope,Thomas F. Varley,Maria Grazia Puxeddu,Joshua Faskowitz,Olaf Sporns
出处
期刊:Journal of physics [IOP Publishing]
卷期号:6 (1): 015015-015015 被引量:5
标识
DOI:10.1088/2632-072x/adbaa9
摘要

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.
最长约 10秒,即可获得该文献文件

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
xyma9408发布了新的文献求助10
刚刚
王校发布了新的文献求助10
刚刚
何hao发布了新的文献求助10
刚刚
1秒前
姜姜发布了新的文献求助10
1秒前
1秒前
文艺的小凝给文艺的小凝的求助进行了留言
2秒前
桃子e发布了新的文献求助10
2秒前
2秒前
2秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
乐乐乐乐乐完成签到,获得积分10
3秒前
微笑发布了新的文献求助10
3秒前
小学徒完成签到 ,获得积分10
3秒前
干净凝梦发布了新的文献求助10
3秒前
3秒前
Tsin778发布了新的文献求助10
3秒前
4秒前
wzl发布了新的文献求助10
4秒前
上官若男应助Linjiannan采纳,获得10
5秒前
5秒前
科研一路绿灯完成签到,获得积分10
5秒前
hy发布了新的文献求助10
6秒前
超级翠应助张靖松采纳,获得10
6秒前
书瑶完成签到,获得积分10
7秒前
小鹅呀完成签到,获得积分10
7秒前
哈尼呀完成签到 ,获得积分20
7秒前
7秒前
7秒前
mono完成签到,获得积分10
8秒前
syx发布了新的文献求助10
8秒前
徐啊徐完成签到,获得积分20
8秒前
8秒前
xyma9408完成签到,获得积分10
8秒前
bnhh完成签到,获得积分10
9秒前
juphen2发布了新的文献求助10
9秒前
jjj关注了科研通微信公众号
10秒前
超能力完成签到,获得积分10
10秒前
10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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667927
求助须知:如何正确求助?哪些是违规求助? 4888141
关于积分的说明 15122164
捐赠科研通 4826686
什么是DOI,文献DOI怎么找? 2584281
邀请新用户注册赠送积分活动 1538179
关于科研通互助平台的介绍 1496440