Your browser doesn't support javascript.
loading
Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event-based model of disease progression.
Firth, Nicholas C; Primativo, Silvia; Brotherhood, Emilie; Young, Alexandra L; Yong, Keir X X; Crutch, Sebastian J; Alexander, Daniel C; Oxtoby, Neil P.
Afiliación
  • Firth NC; Centre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
  • Primativo S; Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
  • Brotherhood E; Department of Human Science, LUMSA University, Rome, Italy.
  • Young AL; Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
  • Yong KXX; Centre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
  • Crutch SJ; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
  • Alexander DC; Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
  • Oxtoby NP; Dementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
Alzheimers Dement ; 16(7): 965-973, 2020 07.
Article en En | MEDLINE | ID: mdl-32489019
INTRODUCTION: This work aims to characterize the sequence in which cognitive deficits appear in two dementia syndromes. METHODS: Event-based modeling estimated fine-grained sequences of cognitive decline in clinically-diagnosed posterior cortical atrophy (PCA) ( n=94 ) and typical Alzheimer's disease (tAD) ( n=61 ) at the UCL Dementia Research Centre. Our neuropsychological battery assessed memory, vision, arithmetic, and general cognition. We adapted the event-based model to handle highly non-Gaussian data such as cognitive test scores where ceiling/floor effects are common. RESULTS: Experiments revealed differences and similarities in the fine-grained ordering of cognitive decline in PCA (vision first) and tAD (memory first). Simulation experiments reveal that our new model equals or exceeds performance of the classic event-based model, especially for highly non-Gaussian data. DISCUSSION: Our model recovered realistic, phenotypical progression signatures that may be applied in dementia clinical trials for enrichment, and as a data-driven composite cognitive end-point.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Enfermedad de Alzheimer / Disfunción Cognitiva / Modelos Teóricos Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Alzheimers Dement Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Enfermedad de Alzheimer / Disfunción Cognitiva / Modelos Teóricos Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Alzheimers Dement Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos