Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition.

ABSTRACT: Recent advances in diffusion-weighted imaging have enabled us to probe the microstructure of even gray matter non-invasively. However, these advanced multi-shell protocols are often not included in large-scale studies as they significantly increase scan time. In this study, we investigated whether one set of multi-shell diffusion metrics commonly used in gray matter (as derived from Neurite Orientation Dispersion and Density Imaging, NODDI) provide enough additional information over typical tensor and volume metrics to justify the increased acquisition time, using the cognitive aging framework in the human hippocampus as a testbed. We first demonstrated that NODDI metrics are robust and reliable by replicating previous findings from our lab in a larger population of 79 younger (20.41 ± 1.8

SUBMITTER: Radhakrishnan H 

PROVIDER: S-EPMC10538083 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature