MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies
Status PubMed-not-MEDLINE Language English Country United States Media electronic
Document type Journal Article
Grant support
R01 AG041851
NIA NIH HHS - United States
C06 RR018898
NCRR NIH HHS - United States
P50 AG016574
NIA NIH HHS - United States
R01 AG040042
NIA NIH HHS - United States
R01 NS080820
NINDS NIH HHS - United States
R37 AG011378
NIA NIH HHS - United States
U01 NS100620
NINDS NIH HHS - United States
U01 AG006786
NIA NIH HHS - United States
PubMed
36670121
PubMed Central
PMC9859778
DOI
10.1038/s41531-023-00448-6
PII: 10.1038/s41531-023-00448-6
Knihovny.cz E-resources
- Publication type
- Journal Article MeSH
Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. We used data-driven analysis of magnetic resonance imaging (MRI) data to investigate DLB subtypes. We included 165 DLB from the Mayo Clinic and 3 centers from the European DLB consortium and performed a hierarchical cluster analysis to identify subtypes based on gray matter (GM) volumes. To characterize the subtypes, we used demographic and clinical data, as well as β-amyloid, tau, and cerebrovascular biomarkers at baseline, and cognitive decline over three years. We identified 3 subtypes: an older subtype with reduced cortical GM volumes, worse cognition, and faster cognitive decline (n = 49, 30%); a subtype with low GM volumes in fronto-occipital regions (n = 76, 46%); and a subtype of younger patients with the highest cortical GM volumes, proportionally lower GM volumes in basal ganglia and the highest frequency of cognitive fluctuations (n = 40, 24%). This study shows the existence of MRI subtypes in DLB, which may have implications for clinical workout, research, and therapeutic decisions.
Center for Age Related Medicine Stavanger University Hospital Stavanger Norway
Department of Electrical Engineering and Computer Science University of Stavanger Stavanger Norway
Department of Neurology and Alzheimer Center VU University Medical Center Amsterdam Netherlands
Department of Radiology Mayo Clinic Rochester MN US
Institute of Biomedical Research August Pi i Sunyer Barcelona Spain
International Clinical Research Center St Annes University Hospital Brno Brno Czech Republic
Medical Psychology Unit Institute of Neurosciences University of Barcelona Barcelona Spain
Quantitative Health Sciences Mayo Clinic Rochester MN US
UCL institutes of neurology and center for medical image computing London UK
University of Strasbourg and French National Center for Scientific Research ICONE Strasbourg France
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