TY - GEN
T1 - A Fineset Cortex Atlas of Human Brain Based on Boundary Mapping Technique
T2 - 2nd International Conference on Computer Engineering and Intelligent Control, ICCEIC 2021
AU - Han, Ziteng
AU - Wang, Luyao
AU - Yan, Tianyi
AU - Wu, Jinglong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Cortex atlases are critical to study the function and organization of human brain. Abrupt transitions in resting-stating functional connectivity (RSFC) are used to define the boundaries between different cortical areas. Ultrahigh field strength (7T) functional magnetic resonance imaging (fMRI) data have very high spatial revolution so that some areas which is difficult to be found in lower resolution fMRI data can be detected. Here, we utilized 7T resting-state fMRI data and boundary mapping method to parcellate the cortex of brain. The boundary maps obtained from the parcellation of two independent datasets were highly similar. The boundary map-derived parcels were significantly more homogenous than that of random null models and overlapped strongly with several known cytoarchitectonic areas. A parcellation consisting of 215 parcels for each hemisphere is provided, which appears to better represent the cortex organization of human brain than the previously published Gordon333 atlas [1].
AB - Cortex atlases are critical to study the function and organization of human brain. Abrupt transitions in resting-stating functional connectivity (RSFC) are used to define the boundaries between different cortical areas. Ultrahigh field strength (7T) functional magnetic resonance imaging (fMRI) data have very high spatial revolution so that some areas which is difficult to be found in lower resolution fMRI data can be detected. Here, we utilized 7T resting-state fMRI data and boundary mapping method to parcellate the cortex of brain. The boundary maps obtained from the parcellation of two independent datasets were highly similar. The boundary map-derived parcels were significantly more homogenous than that of random null models and overlapped strongly with several known cytoarchitectonic areas. A parcellation consisting of 215 parcels for each hemisphere is provided, which appears to better represent the cortex organization of human brain than the previously published Gordon333 atlas [1].
KW - 7T fMRI
KW - cortex atlas
KW - functional gradient
KW - functional parcellation
KW - human brain
UR - http://www.scopus.com/inward/record.url?scp=85126781328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126781328&partnerID=8YFLogxK
U2 - 10.1109/ICCEIC54227.2021.00014
DO - 10.1109/ICCEIC54227.2021.00014
M3 - Conference contribution
AN - SCOPUS:85126781328
T3 - Proceedings - 2021 2nd International Conference on Computer Engineering and Intelligent Control, ICCEIC 2021
SP - 29
EP - 34
BT - Proceedings - 2021 2nd International Conference on Computer Engineering and Intelligent Control, ICCEIC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 November 2021 through 14 November 2021
ER -