2017
DOI: 10.1002/hbm.23887
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Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI

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. … Show more

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Cited by 63 publications
(79 citation statements)
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“…Therefore, an increase in ipsilateral functional network connectivity relative to the contralateral side could indicate greater synchronization of the seizure onset region with the remaining MTL network, even during the interictal state. The localization of functional network asymmetry to CA1, along with our previous finding that CA1 is a functional hub within the MTL network (Shah et al, 2018), support the hypothesis that CA1 is a key player in the TLE-NL network and could be a target for ablation or stimulation.…”
Section: Asymmetry-based Findingssupporting
confidence: 82%
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“…Therefore, an increase in ipsilateral functional network connectivity relative to the contralateral side could indicate greater synchronization of the seizure onset region with the remaining MTL network, even during the interictal state. The localization of functional network asymmetry to CA1, along with our previous finding that CA1 is a functional hub within the MTL network (Shah et al, 2018), support the hypothesis that CA1 is a key player in the TLE-NL network and could be a target for ablation or stimulation.…”
Section: Asymmetry-based Findingssupporting
confidence: 82%
“…To generate MTL segmentations for our data set, we utilized a multiatlas automated segmentation pipeline derived from the automated segmentation of hippocampal subfields algorithm (Yushkevich et al, 2015) as described and validated in our previous work (Shah et al, 2018). The atlas data set included structural MRI acquired with the protocol described in Section 2.2, and manual expert segmentations of 10 subregions per hemisphere as follows: hippocampal subfields (CA1, CA2, CA3, and DG), hippocampal tail, subiculum, and cortical regions of the parahippocampal gyrus (entorhinal cortex, parahippocampal cortex, and perirhinal cortex divided into BA35 and BA36) ( Figure 1).…”
Section: Mtl Segmentationmentioning
confidence: 99%
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“…Functional connectivity analyses of functional magnetic resonance imaging (fMRI) provides a popular method to evaluate correlated brain activity across structures (30,31). In functional connectivity analyses, correlations of activity across regions over time results in maps of intrinsic functional connectivity, both across vast cortical regions (32) and within the medial temporal lobe memory system (33,34). Previously, across 10 independent datasets, we found a striking pattern of sub-networks within the MTL: 1) high connectivity between the hippocampal subfields bilaterally, 2) high connectivity between entorhinal-perirhinal cortices bilaterally, and 3) high connectivity within the parahippocampal cortex bilaterally (33).…”
Section: Introductionmentioning
confidence: 99%