Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month.
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 restin...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4694646?pdf=render |
| _version_ | 1828303048899821568 |
|---|---|
| author | Bing Chen Ting Xu Changle Zhou Luoyu Wang Ning Yang Ze Wang Hao-Ming Dong Zhi Yang Yu-Feng Zang Xi-Nian Zuo Xu-Chu Weng |
| author_facet | Bing Chen Ting Xu Changle Zhou Luoyu Wang Ning Yang Ze Wang Hao-Ming Dong Zhi Yang Yu-Feng Zang Xi-Nian Zuo Xu-Chu Weng |
| author_sort | Bing Chen |
| collection | DOAJ |
| description | 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 multi-metric 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. |
| first_indexed | 2024-04-13T13:45:40Z |
| format | Article |
| id | doaj.art-7557dbacd1e54f2ca19f4547be2f16ca |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T13:45:40Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-7557dbacd1e54f2ca19f4547be2f16ca2022-12-22T02:44:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014496310.1371/journal.pone.0144963Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month.Bing ChenTing XuChangle ZhouLuoyu WangNing YangZe WangHao-Ming DongZhi YangYu-Feng ZangXi-Nian ZuoXu-Chu WengIndividual 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 multi-metric 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.http://europepmc.org/articles/PMC4694646?pdf=render |
| spellingShingle | Bing Chen Ting Xu Changle Zhou Luoyu Wang Ning Yang Ze Wang Hao-Ming Dong Zhi Yang Yu-Feng Zang Xi-Nian Zuo Xu-Chu Weng Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. PLoS ONE |
| title | Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. |
| title_full | Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. |
| title_fullStr | Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. |
| title_full_unstemmed | Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. |
| title_short | Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month. |
| title_sort | individual variability and test retest reliability revealed by ten repeated resting state brain scans over one month |
| url | http://europepmc.org/articles/PMC4694646?pdf=render |
| work_keys_str_mv | AT bingchen individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT tingxu individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT changlezhou individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT luoyuwang individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT ningyang individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT zewang individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT haomingdong individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT zhiyang individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT yufengzang individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT xinianzuo individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth AT xuchuweng individualvariabilityandtestretestreliabilityrevealedbytenrepeatedrestingstatebrainscansoveronemonth |