DocumentCode :
46111
Title :
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function
Author :
Jinglei Lv ; Xi Jiang ; Xiang Li ; Dajiang Zhu ; Shu Zhang ; Shijie Zhao ; Hanbo Chen ; Tuo Zhang ; Xintao Hu ; Junwei Han ; Jieping Ye ; Lei Guo ; Tianming Liu
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
Volume :
62
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
1120
Lastpage :
1131
Abstract :
For decades, it has been largely unknown to what extent multiple functional networks spatially overlap/interact with each other and jointly realize the total cortical function. Here, by developing novel sparse representation of whole-brain fMRI signals and by using the recently publicly released large-scale Human Connectome Project high-quality fMRI data, we show that a number of reproducible and robust functional networks, including both task-evoked and resting state networks, are simultaneously distributed in distant neuroanatomic areas and substantially spatially overlapping with each other, thus forming an initial collection of holistic atlases of functional networks and interactions (HAFNIs). More interestingly, the HAFNIs revealed two distinct patterns of highly overlapped regions and highly specialized regions and exhibited that these two patterns of areas are reciprocally localized, revealing a novel organizational principle of cortical function.
Keywords :
bioelectric potentials; biomedical MRI; neural nets; neurophysiology; distant neuroanatomic areas; functional network holistic atlases; high quality fMRI data; interaction holistic atlases; large-scale Human Connectome Project; multiple functional networks; reciprocal organizational architecture; reproducible functional network; resting state network; robust functional network; task-evoked network; total cortical function; whole-brain fMRI signals; Computer architecture; Correlation; Dictionaries; Educational institutions; Encoding; Sparse matrices; Visualization; Brain networks; Cortical architecture,; brain networks; cortical architecture; fMRI; interaction;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2014.2369495
Filename :
6960842
Link To Document :
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