Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships.

Autor:	Voigt K; School of Psychological Sciences Turner and Turner Institute for Brain and Mental Health, Monash University, 18 Innovation Walk, 3800 Clayton VIC, Australia.; Monash Biomedical Imaging, Monash University, 770 Blackburn Road, 3800 Clayton VIC, Australia., Liang EX; Monash Biomedical Imaging, Monash University, 770 Blackburn Road, 3800 Clayton VIC, Australia., Misic B; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, 3801 University Street Montréal, Quebec H3A 2B4, Canada., Ward PGD; Monash Biomedical Imaging, Monash University, 770 Blackburn Road, 3800 Clayton VIC, Australia., Egan GF; School of Psychological Sciences Turner and Turner Institute for Brain and Mental Health, Monash University, 18 Innovation Walk, 3800 Clayton VIC, Australia.; Monash Biomedical Imaging, Monash University, 770 Blackburn Road, 3800 Clayton VIC, Australia., Jamadar SD; School of Psychological Sciences Turner and Turner Institute for Brain and Mental Health, Monash University, 18 Innovation Walk, 3800 Clayton VIC, Australia.; Monash Biomedical Imaging, Monash University, 770 Blackburn Road, 3800 Clayton VIC, Australia.
Jazyk:	angličtina
Zdroj:	Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2023 Feb 07; Vol. 33 (4), pp. 1476-1488.
DOI:	10.1093/cercor/bhac150
Abstrakt:	A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterization of the human brain. How these 2 modalities differ in their contribution to cognition and behavior is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that although for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, whereas for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research. (© The Author(s) 2022. Published by Oxford University Press.)
Databáze:	MEDLINE
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