Open AccessSparse representation of HC P grayordinate data reveals novel functional architecture of cerebral cortex
Author(s) -
Jiang Xi,
Li Xiang,
Lv Jinglei,
Zhang Tuo,
Zhang Shu,
Guo Lei,
Liu Tianming
Publication year - 2015
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.23013
Subject(s) - human connectome project , neuroscience , computer science , human brain , task (project management) , representation (politics) , posterior parietal cortex , brain mapping , cerebral cortex , sparse approximation , cortex (anatomy) , psychology , connectome , default mode network , association (psychology) , functional connectivity , pattern recognition (psychology) , artificial intelligence , management , politics , political science , law , economics , psychotherapist
The recently publicly released Human Connectome Project (HCP) grayordinate‐based fMRI data not only has high spatial and temporal resolution, but also offers group‐corresponding fMRI signals across a large population for the first time in the brain imaging field, thus significantly facilitating mapping the functional brain architecture with much higher resolution and in a group‐wise fashion. In this article, we adopt the HCP grayordinate task‐based fMRI (tfMRI) data to systematically identify and characterize task‐based heterogeneous functional regions (THFRs) on cortical surface, i.e., the regions that are activated during multiple tasks conditions and contribute to multiple task‐evoked systems during a specific task performance, and to assess the spatial patterns of identified THFRs on cortical gyri and sulci by applying a computational framework of sparse representations of grayordinate brain tfMRI signals. Experimental results demonstrate that both consistent task‐evoked networks and intrinsic connectivity networks across all subjects and tasks in HCP grayordinate data are effectively and robustly reconstructed via the proposed sparse representation framework. Moreover, it is found that there are relatively consistent THFRs locating at bilateral parietal lobe, frontal lobe, and visual association cortices across all subjects and tasks. Particularly, those identified THFRs locate significantly more on gyral regions than on sulcal regions. These results based on sparse representation of HCP grayordinate data reveal novel functional architecture of cortical gyri and sulci, and might provide a foundation to better understand functional mechanisms of the human cerebral cortex in the future. Hum Brain Mapp 36:5301–5319, 2015 . © 2015 Wiley Periodicals, Inc.