Definition of a Nigrosome-1 template for characterizing iron accumulation in Parkinson's Disease

Motivation: To assess Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible. Goal(s): To build a Nigrosome-1 template that enables to charaterize the region in Parkinson's disease. Approach: Creation of a symmetric probability map of N1 using optimized non-linear co-registration that accounts for geometric distortion in SWI data. Comparison between manual and automated measurements. Impact: Assessing Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible, will enhance the understanding of the disease and help identifying biomarkers of disease progression and differential diagnosis.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/3488
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Definition of a Nigrosome-1 template for characterizing iron accumulation in Parkinson's Disease

Maria Eugenia Caligiuri, Maria Celeste Bonacci, Angelina Catrambone
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
Parkinson's Disease Mechanisms and Treatments
article

Definition of a Nigrosome-1 template for characterizing iron accumulation in Parkinson's Disease

Maria Eugenia Caligiuri, Maria Celeste Bonacci, Angelina Catrambone
article en

Abstract

Motivation: To assess Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible. Goal(s): To build a Nigrosome-1 template that enables to charaterize the region in Parkinson's disease. Approach: Creation of a symmetric probability map of N1 using optimized non-linear co-registration that accounts for geometric distortion in SWI data. Comparison between manual and automated measurements. Impact: Assessing Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible, will enhance the understanding of the disease and help identifying biomarkers of disease progression and differential diagnosis.

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 64%
Parkinson's Disease Mechanisms and Treatments
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