Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation

Neuron16.20
Volume: 97, Issue: 1, Pages: 231 - 247.e7
Published: Jan 1, 2018
Abstract
Macroscopic cortical networks are important for cognitive function, but it remains challenging to construct anatomically plausible individual structural connectomes from human neuroimaging. We introduce a new technique for cortical network mapping based on inter-regional similarity of multiple morphometric parameters measured using multimodal MRI. In three cohorts (two human, one macaque), we find that the resulting morphometric similarity...
Paper Details
Title
Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation
Published Date
Jan 1, 2018
Journal
Volume
97
Issue
1
Pages
231 - 247.e7
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