TY - JOUR
T1 - MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies
AU - Inguanzo, Anna
AU - Poulakis, Konstantinos
AU - Mohanty, Rosaleena
AU - Schwarz, Christopher G.
AU - Przybelski, Scott A.
AU - Diaz-Galvan, Patricia
AU - Lowe, Val J.
AU - Boeve, Bradley F.
AU - Lemstra, Afina W.
AU - van de Beek, Marleen
AU - van der Flier, Wiesje
AU - Barkhof, Frederik
AU - Blanc, Frederic
AU - Loureiro de Sousa, Paulo
AU - Philippi, Nathalie
AU - Cretin, Benjamin
AU - Demuynck, Catherine
AU - Nedelska, Zuzana
AU - Hort, Jakub
AU - Segura, Barbara
AU - Junque, Carme
AU - Oppedal, Ketil
AU - Aarsland, Dag
AU - Westman, Eric
AU - Kantarci, Kejal
AU - Ferreira, Daniel
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41531-023-00448-6
DO - 10.1038/s41531-023-00448-6
M3 - Article
AN - SCOPUS:85146749635
SN - 2373-8057
VL - 9
JO - npj Parkinson's Disease
JF - npj Parkinson's Disease
IS - 1
M1 - 5
ER -