A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Rebecca Kerestes; Shuo Han; Srinivas Balachander; Carlos Hernandez-Castillo; Jerry L. Prince; J&#246;rn Diedrichsen; Ian H. Harding

doi:10.3791/63340

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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

JoVE Journal
Neuroscience

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JoVE Journal Neuroscience

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

4,016 Views

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11:50 min

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February 04, 2022

DOI:

10.3791/63340-v

DOI:

10.3791/63340-v

•

11:50 min

February 04, 2022

•

4000 Views

Rebecca Kerestes¹, Shuo Han², Srinivas Balachander³, Carlos Hernandez-Castillo⁴, Jerry L. Prince^5,6, Jörn Diedrichsen⁷, Ian H. Harding^1,8

¹Department of Neuroscience, Central Clinical School,Monash University ²Department of Biomedical Engineering,The Johns Hopkins University ³Department of Psychiatry,National Institute of Mental Health & Neuro Sciences (NIMHANS)⁴Faculty of Computer Science,Dalhousie University ⁵Department of Electrical and Computer Engineering,The Johns Hopkins University ⁶Department of Computer Science,The Johns Hopkins University ⁷Brain and Mind Institute, Department for Statistical and Actuarial Sciences, Department for Computer Science,Western University ⁸Monash Biomedical Imaging,Monash University

Summary

A standardized pipeline is presented for examining cerebellum grey matter morphometry. The pipeline combines high-resolution, state-of-the-art approaches for optimized and automated cerebellum parcellation and voxel-based registration of the cerebellum for volumetric quantification.