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OHBM 2023 | 3090 | Talk | Zhen-Qi Liu | Spatially heterogeneous structure-function coupling in hae…
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Title: Spatially heterogeneous structure-function coupling in haemodynamic & electromagnetic brain networks.
Session: Oral Session
Speaker: Zhen-Qi Liu
Abstract: The relationship between structure and function is a central concept in systems neuroscience. While existing studies mainly focus on functional dynamics characterized by functional MRI (fMRI), it is known that BOLD responses do not directly reflect the underlying neural activity. Recent studies have also suggested a heterogenous correspondence between structural and functional connectivity, with stronger coupling in unimodal cortex and wicked correspondence in transmodal cortex. Altogether, it is necessary to have a more detailed understanding of structure-function relationship that takes into account both neurophysiological activity and regional heterogeneity. In this project we compare structural connectivity (SC) estimated using diffusion MRI with functional connectivity (FC) estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We estimate regional patterns of structure-function coupling using a multilinear regression model that takes into account communication dynamics. We then explore the relationship between structure-function coupling patterns and cognitive systems, network features and cytoarchitectural profiles.
Session: Oral Session
Speaker: Zhen-Qi Liu
Abstract: The relationship between structure and function is a central concept in systems neuroscience. While existing studies mainly focus on functional dynamics characterized by functional MRI (fMRI), it is known that BOLD responses do not directly reflect the underlying neural activity. Recent studies have also suggested a heterogenous correspondence between structural and functional connectivity, with stronger coupling in unimodal cortex and wicked correspondence in transmodal cortex. Altogether, it is necessary to have a more detailed understanding of structure-function relationship that takes into account both neurophysiological activity and regional heterogeneity. In this project we compare structural connectivity (SC) estimated using diffusion MRI with functional connectivity (FC) estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We estimate regional patterns of structure-function coupling using a multilinear regression model that takes into account communication dynamics. We then explore the relationship between structure-function coupling patterns and cognitive systems, network features and cytoarchitectural profiles.