Two common and distinct forms of variation in human functional brain networks

变化(天文学) 复制 认知 生物 比例(比率) 进化生物学 神经科学 心理学 地理 数学 天体物理学 地图学 统计 物理
作者
Ally Dworetsky,Benjamin A. Seitzman,Babatunde Adeyemo,Douglas B. Smith,Steven E. Petersen,Caterina Gratton
标识
DOI:10.1101/2021.09.17.460799
摘要

Abstract The cortex has a characteristic layout with specialized functional areas forming distributed large-scale networks. However, substantial work shows striking variation in this organization across people, which relates to differences in behavior. While most prior work treats all individual differences as equivalent and primarily linked to boundary shifts between the borders of regions, here we show that cortical ‘variants’ actually occur in two different forms. In addition to border shifts, variants also occur at a distance from their typical position, forming ectopic intrusions. Both forms of variants are common across individuals, but the forms differ in their location, network associations, and activations during tasks, patterns that replicate across datasets and methods of definition. Border shift variants also track significantly more with shared genetics than ectopic variants, suggesting a closer link between ectopic variants and environmental influences. Further, variant properties are categorically different between subgroups of individuals. Exploratory evidence suggests that variants can predict individual differences in behavior, but the two forms differ in which behavioral phenotypes they predict. This work argues that individual differences in brain organization commonly occur in two dissociable forms – border shifts and ectopic intrusions – suggesting that these types of variation are indexing distinct forms of cortical variation that must be separately accounted for in the analysis of cortical systems across people. This work expands our knowledge of cortical variation in humans and helps reconceptualize the discussion of how cortical systems variability arises and links to individual differences in cognition and behavior.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
5秒前
5秒前
Lydia完成签到,获得积分10
7秒前
Dr大壮完成签到,获得积分10
7秒前
7秒前
10秒前
11秒前
DE2022发布了新的文献求助10
12秒前
12秒前
13秒前
落后芹菜完成签到,获得积分10
17秒前
tao1225发布了新的文献求助10
18秒前
cctv18应助大秦帝国采纳,获得10
20秒前
你的微笑我舍不得完成签到,获得积分10
20秒前
21秒前
文文文完成签到,获得积分10
21秒前
22秒前
22秒前
22秒前
Haomee完成签到,获得积分10
22秒前
23秒前
田様应助DE2022采纳,获得10
25秒前
WW发布了新的文献求助10
26秒前
文文文发布了新的文献求助10
28秒前
hhh完成签到 ,获得积分10
28秒前
苏木发布了新的文献求助10
28秒前
28秒前
29秒前
31秒前
研友_VZG7GZ应助zz采纳,获得10
32秒前
巫安白完成签到 ,获得积分10
32秒前
整齐的海云完成签到,获得积分10
33秒前
tao1225完成签到,获得积分10
34秒前
明亮的以蓝完成签到 ,获得积分10
34秒前
37秒前
38秒前
CipherSage应助甜美的眼睛采纳,获得30
40秒前
41秒前
CodeCraft应助美美熊采纳,获得10
42秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
[Lambert-Eaton syndrome without calcium channel autoantibodies] 520
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2471832
求助须知:如何正确求助?哪些是违规求助? 2138211
关于积分的说明 5448863
捐赠科研通 1862106
什么是DOI,文献DOI怎么找? 926057
版权声明 562747
科研通“疑难数据库(出版商)”最低求助积分说明 495326