Abstract #3414

Simultaneous EEG-fMRI reveals spontaneous neural oscillatory activity in cingulate cortex underlying transient rsfMRI network dynamics

Linshan Xie^1,2, Xuehong Lin^1,2, Xunda Wang^1,2, Junjian Wen^1,2, Teng Ma^1,2,3, Jiahao Hu^1,2, Peng Cao³, Alex T L Leong^1,2, and Ed X Wu^1,2,4

¹Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, ²Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, ³Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China, ⁴School of Biomedical Sciences, The University of Hong Kong, Hong Kong SAR, China

Synopsis

Keywords: fMRI Acquisition, Multimodal, fMRI (resting state), functional connectivity, neuroscience

Motivation: rsfMRI network dynamics are essential for cognitive processes, however, their underlying neural bases remain unclear.

Goal(s): Here, we aim to examine the neural oscillatory events underlying the dynamic patterns of rsfMRI networks across the entire brain.

Approach: We employed simultaneous EEG-fMRI to record brain-wide rsfMRI and neural signals at default mode network. Further, EEG events were identified and temporally matched with dynamic rsfMRI network states derived from a data-driven model.

Results: Our results demonstrated robust associations between rsfMRI network dynamics and neural oscillatory events, especially slow oscillation-coupled spindle, gamma events and slow oscillation.

Impact: Our results demonstrated the different effects of spontaneous neural oscillatory events (e.g., slow oscillation, spindle, and gamma) in default mode network underlying the dynamics of rsfMRI networks.

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