| Literature DB >> 29159960 |
Preya Shah1,2, Danielle S Bassett1,3, Laura E M Wisse4,5, John A Detre5,6,7, Joel M Stein5, Paul A Yushkevich4,5, Russell T Shinohara8, John B Pluta4,5, Elijah Valenciano4, Molly Daffner6,9, David A Wolk6,9, Mark A Elliott5, Brian Litt1,2,6, Kathryn A Davis2,6, Sandhitsu R Das4,6.
Abstract
Medial temporal lobe (MTL) subregions play integral roles in memory function and are differentially affected in various neurological and psychiatric disorders. The ability to structurally and functionally characterize these subregions may be important to understanding MTL physiology and diagnosing diseases involving the MTL. In this study, we characterized network architecture of the MTL in healthy subjects (n = 31) using both resting state functional MRI and MTL-focused T2-weighted structural MRI at 7 tesla. Ten MTL subregions per hemisphere, including hippocampal subfields and cortical regions of the parahippocampal gyrus, were segmented for each subject using a multi-atlas algorithm. Both structural covariance matrices from correlations of subregion volumes across subjects, and functional connectivity matrices from correlations between subregion BOLD time series were generated. We found a moderate structural and strong functional inter-hemispheric symmetry. Several bilateral hippocampal subregions (CA1, dentate gyrus, and subiculum) emerged as functional network hubs. We also observed that the structural and functional networks naturally separated into two modules closely corresponding to (a) bilateral hippocampal formations, and (b) bilateral extra-hippocampal structures. Finally, we found a significant correlation in structural and functional connectivity (r = 0.25). Our findings represent a comprehensive analysis of network topology of the MTL at the subregion level. We share our data, methods, and findings as a reference for imaging methods and disease-based research.Entities:
Keywords: 7 tesla; asymmetry; connectivity; hippocampus; image segmentation; network neuroscience; resting-state fMRI; structural MRI; subfields; volume
Mesh:
Year: 2017 PMID: 29159960 PMCID: PMC5764800 DOI: 10.1002/hbm.23887
Source DB: PubMed Journal: Hum Brain Mapp ISSN: 1065-9471 Impact factor: 5.038