MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F23%3A00079596" target="_blank" >RIV/00159816:_____/23:00079596 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11130/23:10453642 RIV/00064203:_____/23:10453642

Result on the web

<a href="https://www.nature.com/articles/s41531-023-00448-6" target="_blank" >https://www.nature.com/articles/s41531-023-00448-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41531-023-00448-6" target="_blank" >10.1038/s41531-023-00448-6</a>

Result language

angličtina

Original language name

MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies

Original language description

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 beta-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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

npj Parkinsons Disease

ISSN

2373-8057

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

7

Pages from-to

5

UT code for WoS article

000919122200001

EID of the result in the Scopus database

—