Functional connectivity of the dorsolateral prefrontal cortex contributes to different components of executive functions

背外侧前额叶皮质 前额叶皮质 神经心理学 静息状态功能磁共振成像 背外侧 神经科学 心理学 执行职能 功能连接 认知
作者
Yana R. Panikratova,Roza Vlasova,Tatiana V. Akhutina,Алексей Корнеев,В. Е. Синицын,Ekaterina Pechenkova
出处
期刊:International Journal of Psychophysiology [Elsevier]
卷期号:151: 70-79 被引量:52
标识
DOI:10.1016/j.ijpsycho.2020.02.013
摘要

The dorsolateral prefrontal cortex (DLPFC) orchestrates other brain regions and plays a vital role for "the most uniquely human" executive functions (EFs), which are divided into distinct components. Components of EFs have been localized to different brain regions and at the same time the DLPFC was found to be involved in a majority of EF components. The possible mechanism of the DLPFC's contribution to EF components might be found in DLPFC functional connectivity (FC): this FC of the DLPFC with other brain regions contributes to different EF components. To explore the DLPFC FC contribution to different EFs, we used an integrative approach involving analysis of fMRI and neuropsychological assessment of EFs. Fifty healthy adults (27 females and 23 males, mean age 34.5 ± 16.6 years) underwent neuropsychological assessment of EFs as well as task-based and resting-state fMRI. Task-based fMRI was applied as a functional localizer for individually defined DLPFC ROIs that were further used for the FC seed-based correlation analysis of the resting-state data. Then we looked for associations between individual scores of different EF components and the whole-brain resting-state FC of the DLPFC. Resting-state correlates of DLPFC FC were revealed for three out of the seven EF components derived from an extensive neuropsychological assessment: inhibition, switching, and the verbal EF component. Our study is the first to reveal the contribution of the DLPFC FC to several distinct EF components. The obtained results give insight into the brain mechanisms of EFs.

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
儒雅猕猴桃完成签到,获得积分10
1秒前
1秒前
萌萌哒完成签到,获得积分10
1秒前
111发布了新的文献求助10
1秒前
2秒前
默默海露发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
炒米粉完成签到,获得积分10
2秒前
尘世迷途小书童完成签到,获得积分10
2秒前
2秒前
勤劳的沛山完成签到 ,获得积分10
2秒前
豆豆完成签到,获得积分10
2秒前
小石发布了新的文献求助10
2秒前
AE86完成签到,获得积分10
2秒前
如意修洁完成签到 ,获得积分20
2秒前
4秒前
hyf567完成签到,获得积分10
4秒前
开灯人和关灯人完成签到,获得积分10
4秒前
4秒前
4秒前
萌小鱼完成签到 ,获得积分10
4秒前
HYLynn完成签到,获得积分10
5秒前
王小茗完成签到,获得积分10
5秒前
6秒前
6秒前
麻辣烫完成签到 ,获得积分10
6秒前
入袍完成签到,获得积分10
6秒前
6秒前
隐形曼青应助聪慧的远山采纳,获得10
7秒前
NexusExplorer应助ayan采纳,获得10
7秒前
量子星尘发布了新的文献求助10
7秒前
nature应助QQ采纳,获得10
7秒前
天气预报完成签到,获得积分10
8秒前
8秒前
暖暖完成签到,获得积分10
9秒前
9秒前
唠叨的大门完成签到,获得积分10
9秒前
无名应助yong采纳,获得20
9秒前
Sean完成签到,获得积分10
9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
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 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 5665118
求助须知:如何正确求助?哪些是违规求助? 4875227
关于积分的说明 15112135
捐赠科研通 4824320
什么是DOI,文献DOI怎么找? 2582694
邀请新用户注册赠送积分活动 1536665
关于科研通互助平台的介绍 1495279