MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.ebiom.2026.106400

Медицинская библиотека · EBioMedicine · 2026

Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases.

Konuri Ajay, Leal Gonzalo Castro, Zebarjadi Niloufar, Habich Annegret, Castellanos-Perilla Nicolás, Gonzalez María Camila, Taylor John-Paul, Firbank Michael, Alcolea Daniel, Bejanin Alexandre, Segers Kurt, Benoit Florence, Isik Ahmet Turan, Samanci Bedia, Cháfer-Pericás Consuelo, Wade-Martins Richard, Hu Michele T M, Bhome Rohan, Dobreva Ivelina, Walker Zuzana, Aarsland Dag, Westman Eric, Ferreira Daniel, Halliday Glenda, Lewis Simon J G, Weil Rimona S, Landin-Romero Ramon, Lambert Christian, Oxtoby Neil P, Matar Elie

СтатьяПеревод в очереди

Аннотация

BACKGROUND

Lewy body diseases (LBD) collectively share α-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.

FUNDING: This work was made possible by an Ignition grant from the University of Sydney and University College London (Global Engagement Fund).

Для цитирования: Konuri Ajay, Leal Gonzalo Castro, Zebarjadi Niloufar, Habich Annegret, Castellanos-Perilla Nicolás, Gonzalez María Camila, Taylor John-Paul, Firbank Michael, Alcolea Daniel, Bejanin Alexandre, Segers Kurt, Benoit Florence, Isik Ahmet Turan, Samanci Bedia, Cháfer-Pericás Consuelo, Wade-Martins Richard, Hu Michele T M, Bhome Rohan, Dobreva Ivelina, Walker Zuzana, Aarsland Dag, Westman Eric, Ferreira Daniel, Halliday Glenda, Lewis Simon J G, Weil Rimona S, Landin-Romero Ramon, Lambert Christian, Oxtoby Neil P, Matar Elie. Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases.. EBioMedicine. 2026. DOI: 10.1016/j.ebiom.2026.106400.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.