已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Relationships Between Brain Intrinsic Connectivity Networks and Measures of Cognition and Emotion: A Study of the Human Connectome Project Data*

默认模式网络 任务正网络 心理学 认知 连接体 人类连接体项目 认知心理学 悲伤 情景记忆 认知灵活性 神经心理学 愤怒 神经科学 功能连接 临床心理学
作者
Behnaz Jarrahi
出处
期刊: 卷期号:: 1-6
标识
DOI:10.1109/embc40787.2023.10340696
摘要

Growing evidence suggests that variations in cognitive and emotional behavior are associated with variations in brain function. To achieve a more comprehensive assessment, data-driven techniques, specifically independent component analysis (ICA), can be employed to generate outcome variables that describe unique but complementary aspects of functional connectivity within and between networks. In this study, resting-state fMRI and behavioral data were collected from 50 healthy participants in the Human Connectome Project. The neuropsychological battery evaluated performance in various domains, including episodic memory, fluid intelligence, attention, working memory, executive function, cognitive flexibility, inhibition, and processing speed. Emotional measures were also included to assess emotion recognition and negative affects (sadness, fear, and anger). A multivariate approach was adopted to evaluate the association between cognitive abilities and emotional correlates on spatiotemporal features of intrinsic connectivity networks (ICNs). The results were explored at a false discovery rate-corrected threshold of p < 0.05. There was a significant positive association between within-network connectivity of the left central executive network (CEN) and inhibitory control and attention, and a significant negative association between within-network connectivity of the right CEN and episodic memory. Furthermore, increased within-network connectivity of the default-mode network (DMN) was linked to higher fluid intelligence, while within-network connectivity in the salience network (SN) and dorsal attention network (DAN) was associated with cognitive flexibility. Anger was found to be significantly related to increased functional network connectivity between SN and CEN. Sadness and fear were associated with increased within-network connectivity of the right CEN. Additionally, fear was associated with low-frequency spectral power in SN and DMN. These findings offer new insights into the intricate relation between ICN features and cognitive and emotional functions.
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
潇风发布了新的文献求助10
刚刚
怕黑傲珊发布了新的文献求助10
1秒前
2秒前
meow发布了新的文献求助10
2秒前
欣欣完成签到,获得积分10
4秒前
潘健康完成签到,获得积分10
5秒前
可爱的函函应助11采纳,获得10
5秒前
搜集达人应助zimo0214采纳,获得10
7秒前
123好完成签到,获得积分20
7秒前
ccxx发布了新的文献求助10
7秒前
领导范儿应助风中的小米采纳,获得10
10秒前
10秒前
123好发布了新的文献求助10
11秒前
13秒前
hanli完成签到,获得积分10
13秒前
动听的琴完成签到,获得积分10
14秒前
17秒前
汉堡包应助DDDD采纳,获得10
17秒前
lx应助令狐青亦采纳,获得10
18秒前
科研通AI6.3应助ccxx采纳,获得10
18秒前
20秒前
21秒前
21秒前
科研通AI6.2应助飘逸蜡烛采纳,获得10
21秒前
科研通AI6.2应助大观天下采纳,获得10
22秒前
慕青应助nanfeng采纳,获得10
22秒前
科研通AI6.4应助俏皮幻悲采纳,获得10
22秒前
小王同志完成签到,获得积分10
22秒前
Ava应助感动的樱桃采纳,获得10
23秒前
一只特立独行的朱完成签到,获得积分10
25秒前
小楠楠发布了新的文献求助10
25秒前
26秒前
jusss发布了新的文献求助10
27秒前
27秒前
小邓完成签到 ,获得积分10
28秒前
28秒前
hxm完成签到,获得积分10
29秒前
29秒前
核桃发布了新的文献求助10
30秒前
汉堡包应助永恒采纳,获得10
31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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7345670
求助须知:如何正确求助?哪些是违规求助? 8957924
关于积分的说明 19022209
捐赠科研通 6996883
什么是DOI,文献DOI怎么找? 3220039
关于科研通互助平台的介绍 2384920
邀请新用户注册赠送积分活动 2200277