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阿尔法波段静息态脑电图连接性与非言语智力相关。

Alpha Band Resting-State EEG Connectivity Is Associated With Non-verbal Intelligence.

作者信息

Zakharov Ilya, Tabueva Anna, Adamovich Timofey, Kovas Yulia, Malykh Sergey

机构信息

Developmental Behavioral Genetics Laboratory, Psychological Institute of the Russian Academy of Education, Moscow, Russia.

Department of Psychology, Goldsmiths University of London, London, United Kingdom.

出版信息

Front Hum Neurosci. 2020 Feb 4;14:10. doi: 10.3389/fnhum.2020.00010. eCollection 2020.

DOI:10.3389/fnhum.2020.00010
PMID:32116601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7010914/
Abstract

The aim of the present study was to investigate whether EEG resting state connectivity correlates with intelligence. One-hundred and sixty five participants took part in the study. Six minutes of eyes closed EEG resting state was recorded for each participant. Graph theoretical connectivity metrics were calculated separately for two well-established synchronization measures [weighted Phase Lag Index (wPLI) and Imaginary Coherence (iMCOH)] and for sensor- and source EEG space. Non-verbal intelligence was measured with Raven's Progressive Matrices. In line with the Neural Efficiency Hypothesis, path lengths characteristics of the brain networks (Average and Characteristic Path lengths, Diameter and Closeness Centrality) within alpha band range were significantly correlated with non-verbal intelligence for sensor space but no for source space. According to our results, variance in non-verbal intelligence measure can be mainly explained by the graph metrics built from the networks that include both weak and strong connections between the nodes.

摘要

本研究的目的是调查脑电图静息态连通性是否与智力相关。165名参与者参与了该研究。为每位参与者记录了6分钟闭眼脑电图静息态。针对两种成熟的同步测量方法[加权相位滞后指数（wPLI）和虚相干（iMCOH）]以及传感器和源脑电图空间，分别计算了图论连通性指标。使用瑞文渐进性矩阵测量非言语智力。与神经效率假说一致，α波段范围内脑网络的路径长度特征（平均路径长度和特征路径长度、直径和紧密中心性）在传感器空间与非言语智力显著相关，但在源空间则不然。根据我们的结果，非言语智力测量的差异主要可以由基于包含节点之间强弱连接的网络构建的图指标来解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/7200badd43e1/fnhum-14-00010-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/f178df56a194/fnhum-14-00010-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/0f16779826e9/fnhum-14-00010-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/b2a9a1addeac/fnhum-14-00010-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/7200badd43e1/fnhum-14-00010-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/f178df56a194/fnhum-14-00010-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/0f16779826e9/fnhum-14-00010-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/b2a9a1addeac/fnhum-14-00010-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/7010914/7200badd43e1/fnhum-14-00010-g004.jpg

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