TY - JOUR
T1 - Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex
AU - Jiang, Xi
AU - Li, Xiang
AU - Lv, Jinglei
AU - Zhao, Shijie
AU - Zhang, Shu
AU - Zhang, Wei
AU - Zhang, Tuo
AU - Han, Junwei
AU - Guo, Lei
AU - Liu, Tianming
N1 - Publisher Copyright:
© 1964-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - Objective: Various studies in the brain mapping field have demonstrated that there exist multiple concurrent functional networks that are spatially overlapped and interacting with each other during specific task performance to jointly realize the total brain function. Assessing such spatial overlap patterns of functional networks (SOPFNs) based on functional magnetic resonance imaging (fMRI) has thus received increasing interest for brain function studies. However, there are still two crucial issues to be addressed. First, the SOPFNs are assessed over the entire fMRI scan assuming the temporal stationarity, while possibly time-dependent dynamics of the SOPFNs is not sufficiently explored. Second, the SOPFNs are assessed within individual subjects, while group-wise consistency of the SOPFNs is largely unknown. Methods: To address the two issues, we propose a novel computational framework of group-wise sparse representation of whole-brain fMRI temporal segments to assess the temporal dynamic spatial patterns of SOPFNs that are consistent across different subjects. Results: Experimental results based on the recently publicly released Human Connectome Project grayordinate task fMRI data demonstrate that meaningful SOPFNs exhibiting dynamic spatial patterns across different time periods are effectively and robustly identified based on the reconstructed concurrent functional networks via the proposed framework. Specifically, those SOPFNs locate significantly more on gyral regions than on sulcal regions across different time periods. Conclusion: These results reveal novel functional architecture of cortical gyri and sulci. Significance: Moreover, these results help better understand functional dynamics mechanisms of cerebral cortex in the future.
AB - Objective: Various studies in the brain mapping field have demonstrated that there exist multiple concurrent functional networks that are spatially overlapped and interacting with each other during specific task performance to jointly realize the total brain function. Assessing such spatial overlap patterns of functional networks (SOPFNs) based on functional magnetic resonance imaging (fMRI) has thus received increasing interest for brain function studies. However, there are still two crucial issues to be addressed. First, the SOPFNs are assessed over the entire fMRI scan assuming the temporal stationarity, while possibly time-dependent dynamics of the SOPFNs is not sufficiently explored. Second, the SOPFNs are assessed within individual subjects, while group-wise consistency of the SOPFNs is largely unknown. Methods: To address the two issues, we propose a novel computational framework of group-wise sparse representation of whole-brain fMRI temporal segments to assess the temporal dynamic spatial patterns of SOPFNs that are consistent across different subjects. Results: Experimental results based on the recently publicly released Human Connectome Project grayordinate task fMRI data demonstrate that meaningful SOPFNs exhibiting dynamic spatial patterns across different time periods are effectively and robustly identified based on the reconstructed concurrent functional networks via the proposed framework. Specifically, those SOPFNs locate significantly more on gyral regions than on sulcal regions across different time periods. Conclusion: These results reveal novel functional architecture of cortical gyri and sulci. Significance: Moreover, these results help better understand functional dynamics mechanisms of cerebral cortex in the future.
KW - Brain functional dynamics
KW - cortical gyri and sulci
KW - functional network
KW - group-wise sparse representation
KW - task functional magnetic resonance imaging (tfMRI)
UR - http://www.scopus.com/inward/record.url?scp=85047826402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047826402&partnerID=8YFLogxK
U2 - 10.1109/TBME.2016.2598728
DO - 10.1109/TBME.2016.2598728
M3 - Article
C2 - 27608442
AN - SCOPUS:85047826402
SN - 0018-9294
VL - 65
SP - 1183
EP - 1192
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 6
ER -