Different brain spatial metabolic patterns characterizing different subtypes of multiple system atrophy

F-fluoro-propyl-β-CIT-PET to quantify striatal DAT loss. SSM analysis characterized an MSA-P-related metabolic pattern (MSAPRP-Combined), which was created by linear combination of two principal components (PC) that differentiated MSA-P from 16 age-matched controls subsequently named as MSAPRP-PC1 and MSAPRP-PC2. For MSA-C-related pattern (MSACRP), only one PC (MSACRP-PC1) differentiated the MSA-C patients from the same healthy controls, therefore MSACRP-PC1 equaled to MSACRP. MSAPRP-Combined showed hypermetabolism in the pons, the posterior lobe of the cerebellum, the pallidum and in the sensorimotor cortex, and hypometabolism in the putamen, the vermis of the cerebellum, the lateral premotor cortex and the parieto-occipital association regions. MSACRP showed hypometabolism in the cerebellum and putamen. MSAPRP-PC1 was topographically more similar to MSAPRP-Combined while MSAPRP-PC2 was more similar to MSACRP. MSA-P had greater DAT loss than MSA-C and controls. In MSA-P, age correlated with MSAPRP-Combined and DAT binding, while disease duration correlated with DAT. For MSA-P females, MSAPRP-PC2 correlated with disease duration. In MSA-C, MSACRP correlated with disease duration and, in females, with age. These findings suggest that metabolic and dopaminergic relationships with disease progression may differ by sex and age in MSA subtypes.

Authors

Institutions

Publication Details

Journal
Journal of Parkinson s Disease
Published
2026-04-15
DOI
https://doi.org/10.1177/1877718x261434367
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Different brain spatial metabolic patterns characterizing different subtypes of multiple system atrophy

Ji Hyun Ko, Chong Sik Lee, Jarrad Perron, Tiffany A. Carther-Krone
Journal of Parkinson s Disease
Parkinson's Disease Mechanisms and Treatments
article

Different brain spatial metabolic patterns characterizing different subtypes of multiple system atrophy

Ji Hyun Ko, Chong Sik Lee, Jarrad Perron, Tiffany A. Carther-Krone
article en

Abstract

F-fluoro-propyl-β-CIT-PET to quantify striatal DAT loss. SSM analysis characterized an MSA-P-related metabolic pattern (MSAPRP-Combined), which was created by linear combination of two principal components (PC) that differentiated MSA-P from 16 age-matched controls subsequently named as MSAPRP-PC1 and MSAPRP-PC2. For MSA-C-related pattern (MSACRP), only one PC (MSACRP-PC1) differentiated the MSA-C patients from the same healthy controls, therefore MSACRP-PC1 equaled to MSACRP. MSAPRP-Combined showed hypermetabolism in the pons, the posterior lobe of the cerebellum, the pallidum and in the sensorimotor cortex, and hypometabolism in the putamen, the vermis of the cerebellum, the lateral premotor cortex and the parieto-occipital association regions. MSACRP showed hypometabolism in the cerebellum and putamen. MSAPRP-PC1 was topographically more similar to MSAPRP-Combined while MSAPRP-PC2 was more similar to MSACRP. MSA-P had greater DAT loss than MSA-C and controls. In MSA-P, age correlated with MSAPRP-Combined and DAT binding, while disease duration correlated with DAT. For MSA-P females, MSAPRP-PC2 correlated with disease duration. In MSA-C, MSACRP correlated with disease duration and, in females, with age. These findings suggest that metabolic and dopaminergic relationships with disease progression may differ by sex and age in MSA subtypes.

Journal of Parkinson s Disease
Health Sciences Centre (CA), CHA University Bundang Medical Center (KR), University of Manitoba (CA)
Canada Research Chairs, Parkinson Canada, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 17%
Parkinson's Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.