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Updated: Jun 12, 2025
A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
Published on: February 4, 2022
Protocol to detect spatio-molecular profiles underlying neuroimaging features in the human cerebellum
Yaping Wang1, Kaikai Wang2, Kristoffer Hougaard Madsen3
1Sino-Danish Center, University of Chinese Academy of Sciences, Beijing 100190, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
None:
Imaging transcriptomics offers opportunities to uncover the genetic profiles underlying brain imaging-derived phenotypes (IDPs) but lacks explanation from gene to IDPs. Here, we present a protocol for combining imaging transcriptomics with gene set variation analysis (GSVA) to detect spatio-molecular profiles underlying IDPs in the human cerebellum. We describe the steps for data preparation, model training, model evaluation, key gene identification, and GSVA. Our protocol broadens the way to interpret the biological pathways shaping a wide range of neuroimaging-derived cerebellar properties. For complete details on the use and execution of this protocol, please refer to Wang et al.1.
