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Updated: Aug 11, 2025

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
Published on: February 4, 2022
The impact of aging on morphometric changes in the cerebellum: A voxel-based morphometry study
Johannes Stalter1, Vinuya Yogeswaran1, Wolfgang Vogel1
1Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany.
Aging before 70 causes gray matter loss in specific right cerebellar regions. These areas are linked to cognitive functions and non-motor networks, suggesting a decline in brain function with age.
Area of Science:
- Neuroscience
- Radiology
- Gerontology
Background:
- Aging significantly impacts central nervous system morphology, yet age-related cerebellar changes are understudied.
- Existing research on cerebellar aging is inconsistent due to varying methodologies, age ranges, and analytical approaches.
Purpose of the Study:
- To investigate age-dependent cerebellar changes in healthy individuals before age 70.
- To utilize non-linear methods and the spatially unbiased infratentorial template (SUIT) toolbox for precise cerebellar analysis.
- To correlate observed morphological changes with functional brain networks.
Main Methods:
- Employed non-linear methods and the SUIT toolbox for detailed cerebellar analysis.
- Scanned 24 older (mean age 64.42) and 25 younger (mean age 24.6) healthy participants using 3 T-MRI.
- Processed MRI data using the SUIT toolbox to assess age-related differences.
Main Results:
- Identified gray matter (GM) volume loss in older participants within three right cerebellar clusters: crus I/II and lobule VI.
- Crus I/II and lobule VI are functionally associated with frontoparietal, default-mode, and ventral-attention networks.
- Lobule VI extends into vermis VIIa, further implicating non-motor and cognitive functional networks.
Conclusions:
- Demonstrated an age-related decline in GM volume in specific right cerebellar regions before age 70.
- These affected cerebellar regions are primarily linked to non-motor functions and cognitive tasks.
- Findings highlight the impact of aging on cognitive-associated cerebellar networks.
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