Elucidating functional differences between cortical gyri and sulci via sparse representation HCP grayordinate fMRI data

Huan Liu, Xi Jiang, Tuo Zhang, Yudan Ren, Xintao Hu, Lei Guo, Junwei Han, Tianming Liu

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21 引用 (Scopus)

摘要

The highly convoluted cerebral cortex is characterized by two different topographic structures: convex gyri and concave sulci. Increasing studies have demonstrated that cortical gyri and sulci exhibit different structural connectivity patterns. Inspired by the intrinsic structural differences between gyri and sulci, in this paper, we present a data-driven framework based on sparse representation of fMRI data for functional network inferences, then examine the interactions within and across gyral and sulcal functional networks and finally elucidate possible functional differences using graph theory based properties. We apply the proposed framework to the high-resolution Human Connectome Project (HCP) grayordinate fMRI data. Extensive experimental results on both resting state fMRI data and task-based fMRI data consistently suggested that gyri are more functionally integrated, while sulci are more functionally segregated in the organizational architecture of cerebral cortex, offering novel understanding of the byzantine cerebral cortex.

源语言英语
页(从-至)81-90
页数10
期刊Brain Research
1672
DOI
出版状态已出版 - 1 10月 2017

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