How brain structure–function decoupling supports individual cognition and its molecular mechanism

认知 神经科学 新皮层 机制(生物学) 心理学 连接体 生物 功能连接 认识论 哲学
作者
Xiaoxi Dong,Qiongling Li,Xuetong Wang,Yirong He,Debin Zeng,Lei Chu,Kun Zhao,Shuyu Li
出处
期刊:Human Brain Mapping [Wiley]
卷期号:45 (2) 被引量:2
标识
DOI:10.1002/hbm.26575
摘要

Abstract Functional signals emerge from the structural network, supporting multiple cognitive processes through underlying molecular mechanism. The link between human brain structure and function is region‐specific and hierarchical across the neocortex. However, the relationship between hierarchical structure–function decoupling and the manifestation of individual behavior and cognition, along with the significance of the functional systems involved, and the specific molecular mechanism underlying structure–function decoupling remain incompletely characterized. Here, we used the structural‐decoupling index (SDI) to quantify the dependency of functional signals on the structural connectome using a significantly larger cohort of healthy subjects. Canonical correlation analysis (CCA) was utilized to assess the general multivariate correlation pattern between region‐specific SDIs across the whole brain and multiple cognitive traits. Then, we predicted five composite cognitive scores resulting from multivariate analysis using SDIs in primary networks, association networks, and all networks, respectively. Finally, we explored the molecular mechanism related to SDI by investigating its genetic factors and relationship with neurotransmitter receptors/transporters. We demonstrated that structure–function decoupling is hierarchical across the neocortex, spanning from primary networks to association networks. We revealed better performance in cognition prediction is achieved by using high‐level hierarchical SDIs, with varying significance of different brain regions in predicting cognitive processes. We found that the SDIs were associated with the gene expression level of several receptor‐related terms, and we also found the spatial distributions of four receptors/transporters significantly correlated with SDIs, namely D2, NET, MOR, and mGluR5, which play an important role in the flexibility of neuronal function. Collectively, our findings corroborate the association between hierarchical macroscale structure–function decoupling and individual cognition and provide implications for comprehending the molecular mechanism of structure–function decoupling. Practitioner Points Structure–function decoupling is hierarchical across the neocortex, spanning from primary networks to association networks. High‐level hierarchical structure–function decoupling contributes much more than low‐level decoupling to individual cognition. Structure–function decoupling could be regulated by genes associated with pivotal receptors that are crucial for neuronal function flexibility.

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
1秒前
鳕鱼排超人完成签到,获得积分10
1秒前
spring_IMU完成签到,获得积分10
1秒前
KQ2077完成签到 ,获得积分10
2秒前
友好的小虾米完成签到,获得积分10
3秒前
活泼过客发布了新的文献求助10
3秒前
吴晨曦发布了新的文献求助10
4秒前
pj完成签到,获得积分10
6秒前
上官若男应助MM采纳,获得10
6秒前
Xinxxx发布了新的文献求助10
6秒前
guo发布了新的文献求助30
7秒前
王璇发布了新的文献求助10
7秒前
优秀含羞草完成签到,获得积分10
7秒前
7秒前
7秒前
典雅又夏发布了新的文献求助10
7秒前
Island D发布了新的文献求助10
7秒前
yancy完成签到,获得积分10
8秒前
念念发布了新的文献求助10
9秒前
10秒前
polymer给polymer的求助进行了留言
11秒前
隐形曼青应助QH采纳,获得10
11秒前
XN发布了新的文献求助10
12秒前
14秒前
桐桐应助LIU采纳,获得10
14秒前
Durant发布了新的文献求助10
14秒前
栗子完成签到,获得积分10
14秒前
lo完成签到,获得积分10
14秒前
15秒前
15秒前
15秒前
17秒前
李cc完成签到,获得积分10
18秒前
典雅又夏完成签到,获得积分10
18秒前
Xinxxx完成签到,获得积分10
18秒前
yuanyueyue完成签到,获得积分10
19秒前
20秒前
20秒前
seven发布了新的文献求助10
20秒前
krinnme发布了新的文献求助30
21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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
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 5895978
求助须知:如何正确求助?哪些是违规求助? 6707590
关于积分的说明 15732670
捐赠科研通 5018484
什么是DOI,文献DOI怎么找? 2702538
邀请新用户注册赠送积分活动 1649248
关于科研通互助平台的介绍 1598505