Automated Tool for in-Vivo Detection of Parkinson’s disease with a Brain MRI

Mezer Aviv, HUJI, Faculty of Science, The Edmond and Lily Safra Center for Brain Sciences


Dr. Aviv Mezer has developed an automated tool to map critical areas of the brain that are often linked to Parkinson’s disease and normal aging.

The striatum is a subcortical structure within the brain that affects motor and cognition skills.

A brain MRI produces images which can detail the microstructural spatial gradients within in the striatum and subcortical grey matter structures. Dr. Mezer’s tool allows for detailed description of each of these regions in the brain MRI image, as well as comparison between regions and between individuals.

Research in postmortem and animal brains suggests that irregularities these striatum’s structural gradients are linked to disease, notably Parkinson’s as well as normal aging. Recent results on Parkinson’s patients suggest this tool might prove useful for early detection of Parkinson’s and other diseases associated with the fine microstructural organization of the striatum and other subcortical structures.

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Mel Larrosa
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