Cargando…
Learning to classify neural activity from a mouse model of Alzheimer's disease amyloidosis versus controls
The mechanisms underlying Alzheimer's disease (AD) onset and progression are not yet elucidated. The extent to which alterations in the activity of individual neurons of an AD model are significant, and the phase at which they can be captured, point to the intensity of the pathology and imply t...
Autores principales: | Beker, Shlomit, Kellner, Vered, Chechik, Gal, Stern, Edward A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879657/ https://www.ncbi.nlm.nih.gov/pubmed/27239535 http://dx.doi.org/10.1016/j.dadm.2016.01.002 |
Ejemplares similares
-
Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging
por: Donnelly-Kehoe, Patricio Andres, et al.
Publicado: (2019) -
Theoretical frameworks and approaches used within the Reserve, Resilience and Protective Factors professional interest area of the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment
por: Bartrés‐Faz, David, et al.
Publicado: (2020) -
Alzheimer's disease severity, objectively determined and measured
por: Gross, Alden L., et al.
Publicado: (2016) -
Prognostic value of ATN Alzheimer biomarkers: 60‐month follow‐up results from the Argentine Alzheimer's Disease Neuroimaging Initiative
por: Allegri, Ricardo F., et al.
Publicado: (2020) -
Function and clinical meaningfulness of treatments for mild Alzheimer's disease
por: Siemers, Eric, et al.
Publicado: (2016)