Structural connectivity networks of putamen subregions in health and in early Parkinson’s Disease

Motivation: Putamen, a subcortical grey matter (SGM) structure and its associated brain connectivity networks are often implicated in the early stages of Parkinson’s Disease (PD). Goal(s): With more detailed structural connectivity analysis using SGM parcellation, we characterise the structural connectivity of putamen subregions in healthy brains, and their alterations in early PD. Approach: Using data from Parkinson’s Progressive Markers Initiative, structural connectivity analysis, and by incorporating SGM parcellation, we have revealed the connectivity networks specific to four putamen subregions. Results: Heterogeneous connectivity alteration was identified in PD subjects, demonstrating weakening of intra-SGM connectivity within hemisphere and strengthening of it across hemispheres. Impact: We identified structural connectivity networks specific to four putamen subregions in healthy brain and in early Parkinson’s Disease. Our method allows focused connectivity analysis while our findings provide new insight into the intra- and inter-hemispheric connectivity alterations with disease progression.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2354
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural connectivity networks of putamen subregions in health and in early Parkinson’s Disease

Claire O’Callaghan, Arkiev D’Souza, Tonima Ali, Mustafa S. Kassem et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Neurological disorders and treatments
article

Structural connectivity networks of putamen subregions in health and in early Parkinson’s Disease

Claire O’Callaghan, Arkiev D’Souza, Tonima Ali, Mustafa S. Kassem, Fernando Calamante, Jinglei Lv, Marshall A. Dalton
article en

Abstract

Motivation: Putamen, a subcortical grey matter (SGM) structure and its associated brain connectivity networks are often implicated in the early stages of Parkinson’s Disease (PD). Goal(s): With more detailed structural connectivity analysis using SGM parcellation, we characterise the structural connectivity of putamen subregions in healthy brains, and their alterations in early PD. Approach: Using data from Parkinson’s Progressive Markers Initiative, structural connectivity analysis, and by incorporating SGM parcellation, we have revealed the connectivity networks specific to four putamen subregions. Results: Heterogeneous connectivity alteration was identified in PD subjects, demonstrating weakening of intra-SGM connectivity within hemisphere and strengthening of it across hemispheres. Impact: We identified structural connectivity networks specific to four putamen subregions in healthy brain and in early Parkinson’s Disease. Our method allows focused connectivity analysis while our findings provide new insight into the intra- and inter-hemispheric connectivity alterations with disease progression.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 67%
Neurological disorders and treatments
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Structural connectivity networks of putamen subregions in health and in early Parkinson’s Disease — Claire O’Callaghan, Arkiev D’Souza, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS