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 统计 物理 数学 地图学 天体物理学
作者
Ally Dworetsky,Benjamin A. Seitzman,Babatunde Adeyemo,Ashley N. Nielsen,Alexander S. Hatoum,Derek M. Smith,Thomas E. Nichols,Maital Neta,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
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
1111发布了新的文献求助10
刚刚
2秒前
ww完成签到,获得积分10
3秒前
4秒前
科研通AI6应助心灵美的斓采纳,获得10
4秒前
4秒前
哈哈发布了新的文献求助10
4秒前
duoduo完成签到,获得积分20
4秒前
PY完成签到,获得积分10
5秒前
sophiey发布了新的文献求助10
5秒前
5秒前
6秒前
瘦瘦的雨莲完成签到,获得积分20
6秒前
852应助rest采纳,获得10
7秒前
8秒前
hechao101010发布了新的文献求助10
8秒前
俭朴从寒发布了新的文献求助10
9秒前
心海发布了新的文献求助10
9秒前
9秒前
INNER_PEACE发布了新的文献求助50
10秒前
HUAN发布了新的文献求助10
10秒前
科研通AI6应助H爱吃辣火锅采纳,获得10
11秒前
Dove发布了新的文献求助10
12秒前
糖宝发布了新的文献求助10
12秒前
呼啦啦完成签到 ,获得积分10
12秒前
酸奶鱼发布了新的文献求助10
12秒前
13秒前
Sosoxu发布了新的文献求助10
14秒前
H木吉发布了新的文献求助10
14秒前
23完成签到,获得积分10
14秒前
14秒前
15秒前
xiaoxiao完成签到,获得积分10
15秒前
15秒前
yang发布了新的文献求助30
16秒前
华仔应助再学一分钟采纳,获得10
17秒前
在下小李完成签到 ,获得积分10
17秒前
18秒前
18秒前
科研通AI6应助玩命的若采纳,获得10
18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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
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 5648816
求助须知:如何正确求助?哪些是违规求助? 4776730
关于积分的说明 15045622
捐赠科研通 4807687
什么是DOI,文献DOI怎么找? 2571022
邀请新用户注册赠送积分活动 1527707
关于科研通互助平台的介绍 1486609