Portal de investigación
Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases
Fecha de publicación:
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Autores de IIS La Fe
Participantes ajenos a IIS La Fe
- Konuri, A
- Leal, GC
- Zebarjadi, N
- Habich, A
- Castellanos-Perilla, N
- Gonzalez, MC
- Taylor, JP
- Firbank, M
- Alcolea, D
- Bejanin, A
- Segers, K
- Benoit, F
- Isik, AT
- Samanci, B
- Wade-Martins, R
- Hu, MTM
- Bhome, R
- Dobreva, I
- Walker, Z
- Aarsland, D
- Westman, E
- Ferreira, D
- Halliday, G
- Lewis, SJG
- Weil, RS
- Landin-Romero, R
- Lambert, C
- Oxtoby, NP
- Matar, E
Grupos
Abstract
Background Lewy body diseases (LBD) collectively share alpha-synuclein Lewy pathology, yet present wide clinical heterogeneity, with overlapping motor and non-motor features and progression patterns that challenge traditional diagnostic boundaries. Methods To resolve this spatiotemporal heterogeneity at the biological level, we applied a data-driven atrophy progression framework to MRI data from 833 individuals across Parkinson's disease, dementia with Lewy bodies, and prodromal isolated REM sleep behaviour disorder using the Subtype and Stage Inference algorithm. Findings Four transdiagnostic subtypes (A: Early cortico-limbic/late basal ganglia, B: Early basal ganglia/late limbic, C: Early temporo-limbic/late basal ganglia, and D: Early basal ganglia-cingulate/late cortex) emerged, each defined by a distinct spatiotemporal progression of atrophy that explained cognitive, motor, and psychiatric variability. An early cortico-limbic/late basal ganglia subtype represented a dementia-prone subtype across clinical diagnoses, with limbic involvement associating with the emergence of visual hallucinations. Interpretation These biologically relevant spatiotemporal atrophy subtypes provide an interpretable stratification of patients with LBD, with the potential to refine prognosis, improve clinical trial stratification, and guide precision therapeutic approaches.
Copyright © 2026 The Authors. Published by Elsevier B.V. All rights reserved.
Datos de la publicación
- ISSN/ISSNe:
- 2352-3964, 2352-3964
- Tipo:
- Article
- Páginas:
- 106400-106400
- PubMed:
- 42556137
- Factor de Impacto:
- 2,663 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
EBioMedicine ELSEVIER
Documentos
- No hay documentos
Filiaciones
Keywords
- Dementia; Heterogeneity; Lewy body diseases; Subtypes; Neurodegeneration; Machine learning
Cita
Konuri A,Leal GC,Zebarjadi N,Habich A,Castellanos N,Gonzalez MC,Taylor JP,Firbank M,Alcolea D,Bejanin A,Segers K,Benoit F,Isik AT,Samanci B,CHÁFER C,Wade R,Hu MTM,Bhome R,Dobreva I,Walker Z,Aarsland D,Westman E,Ferreira D,Halliday G,Lewis SJG,Weil RS,Landin R,Lambert C,Oxtoby NP,Matar E. Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases. EBioMedicine. 2026. 131. p. 106400-106400. IF:11,200. (1).