PSYCH OpenIR  > 中国科学院行为科学重点实验室
Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month
Chen, Bing1,2; Xu, Ting3,4; Zhou, Changle1; Wang, Luoyu2; Yang, Ning3,4,5,6; Wang, Ze2; Dong, Hao-Ming3,4,5,6; Yang, Zhi3,4,6; Zang, Yu-Feng2; Zuo, Xi-Nian3,4,6,7,8; Weng, Xu-Chu1,2
2015-12-29
发表期刊PLOS ONE
ISSN1932-6203
文章类型Article
卷号10期号:12页码:1-21
摘要Individual differences in mind and behavior are believed to reflect the functional variability of the human brain. Due to the lack of a large-scale longitudinal dataset, the full landscape of variability within and between individual functional connectomes is largely unknown. We collected 300 resting-state functional magnetic resonance imaging (rfMRI) datasets from 30 healthy participants who were scanned every three days for one month. With these data, both intra-and inter-individual variability of six common rfMRI metrics, as well as their test-retest reliability, were estimated across multiple spatial scales. Global metrics were more dynamic than local regional metrics. Cognitive components involving working memory, inhibition, attention, language and related neural networks exhibited high intra-individual variability. In contrast, inter-individual variability demonstrated a more complex picture across the multiple scales of metrics. Limbic, default, frontoparietal and visual networks and their related cognitive components were more differentiable than somatomotor and attention networks across the participants. Analyzing both intra-and inter-individual variability revealed a set of high-resolution maps on test-retest reliability of the multi-scale connectomic metrics. These findings represent the first collection of individual differences in multi-scale and multimetric characterization of the human functional connectomes in-vivo, serving as normal references for the field to guide the use of common functional metrics in rfMRI-based applications.
DOI10.1371/journal.pone.0144963
收录类别SCI
语种英语
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000367481900026
WOS标题词Science & Technology
关键词[WOS]INTRINSIC FUNCTIONAL CONNECTIVITY ; SURFACE-BASED ANALYSIS ; HUMAN LIFE-SPAN ; TOPOLOGICAL ORGANIZATION ; STRUCTURAL CONNECTOME ; NETWORK STRUCTURE ; FMRI ; MRI ; CORTEX ; DYNAMICS
引用统计
被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/15445
专题中国科学院行为科学重点实验室
作者单位1.Xiamen Univ, Sch Informat Sci & Engn, Fujian Prov Key Lab Brain Like Intelligent Syst, Xiamen 361005, Fujian, Peoples R China
2.Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou 311121, Zhejiang, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Beijing 100101, Peoples R China
7.Southwest Univ, Fac Psychol, Chongqing 400715, Peoples R China
8.Guangxi Teachers Educ Univ, Sch Educ Sci, Dept Psychol, Nanning 530001, Guangxi, Peoples R China
推荐引用方式
GB/T 7714
Chen, Bing,Xu, Ting,Zhou, Changle,et al. Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month[J]. PLOS ONE,2015,10(12):1-21.
APA Chen, Bing.,Xu, Ting.,Zhou, Changle.,Wang, Luoyu.,Yang, Ning.,...&Weng, Xu-Chu.(2015).Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month.PLOS ONE,10(12),1-21.
MLA Chen, Bing,et al."Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month".PLOS ONE 10.12(2015):1-21.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Individual Variabili(5577KB)期刊论文作者接受稿暂不开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chen, Bing]的文章
[Xu, Ting]的文章
[Zhou, Changle]的文章
百度学术
百度学术中相似的文章
[Chen, Bing]的文章
[Xu, Ting]的文章
[Zhou, Changle]的文章
必应学术
必应学术中相似的文章
[Chen, Bing]的文章
[Xu, Ting]的文章
[Zhou, Changle]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。