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Analysis of cognitive dysfunction in Parkinson’s disease using voxel based morphometry and radiomics

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Abstract

Cognitive impairment in Parkinson’s disease (PD) is associated with changes in the brain anatomical structures. The objective of this study, is to identify the atrophy patterns based on the severity of cognitive decline and evaluate the disease progression. In this study, gray matter alterations are analysed in 135 PD subjects under 3 cognitive domains (91 Cognitively normal PD (NC-PD), 25 PD with Mild Cognitive Impairment (PD-MCI) and 19 PD with Dementia (PD-D)) by comparing them with 58 Healthy Control (HC) subjects. Voxel Based Morphometry (VBM) is used to segment the gray matter regions in magnetic resonance images and analyse the atrophy patterns statistically. Significant patterns of gray matter variations observed in the middle temporal and medial frontal region differentiate between HC and PD subject groups based on the severity of cognitive decline. Abnormalities in gray matter is substantiated through radiomic features extracted from the significant gray matter clusters. Significant radiomic features of the clusters are able to differentiate between the HC and PD-D subjects with an accuracy of 81.82%. Higher atrophy levels identified in PD-D subjects compared to NC-PD and PD-MCI group enables early diagnosis and treatment procedures. The combined and comprehensive analysis of gray matter alterations through VBM and radiomic features gives better assessment of cognitive impairment in PD.

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Acknowledgements

Data used in the preparation of this article were obtained from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/data). For up-to-date information on the study, visit www.ppmi-info.org. PPMI is a public-private partnership, funded by The Michael J. Fox Foundation for Parkinson’s Research and funding partners, including AbbVie, Allergan, Amathus, Avid, Biogen, BioLegend, Bristol-Myers Squibb, Celgene, Denali, GE Healthcare, Genentech, GSK, Golub Capital, Handle Therapeutics, Insitro, Janssen Neuroscience, Lilly, Lundbeck, Merck, Meso Scale Discovery, Neurocrine, Pfizer, Piramal, Prevail Therapeutics, Roche, Sanofi Genzyme, Servier, Takeda, TEVA, UCB, Verily and Voyager Therapeutics (www.ppmi-info.org/fundingpartners).

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No funding was received for conducting this study.

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  1. Department of Electronics and Communication Engineering, College of Engineering (CEG), Anna University, Chennai, India

    S. Sivaranjini & C. M. Sujatha

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  1. S. Sivaranjini
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Correspondence to S. Sivaranjini.

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Ethical approval

This study was conducted in accordance with the 1964 Declaration of Helsinki and its later amendments after approval of the local ethics committees of the sites participating to the Parkinson’s Progression Markers Initiative (PPMI). PPMI is a multicentric longitudinal study. Detailed information is available at http://ppmi-info.org/ppmiclinical-sites. The relevant local institutional review boards approved the PPMI protocol and written informed consent was obtained from all participants prior to inclusion. The approval for the use of the data in the current study was given by the Parkinson’s Progression Markers Initiative. No additional ethics approval was required from the local ethics committee where data was analysed.

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Editor: Giulia Liberati (Catholic University of Louvain); Reviewers: G Venugopal (Indian Institute of Technology Madras), Sebastiano Vacca (University of Cagliari).

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Sivaranjini, S., Sujatha, C.M. Analysis of cognitive dysfunction in Parkinson’s disease using voxel based morphometry and radiomics. Cogn Process (2024). https://doi.org/10.1007/s10339-024-01197-x

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