Cargando…
Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum
BACKGROUND: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker‐defined amyloid/tau/neurodegeneration (A/T/N) groups. METHOD: We computed correlations between cortical thickness and fluorod...
Autores principales: | Stocks, Jane, Popuri, Karteek, Heywood, Ashley, Tosun, Duygu, Alpert, Kate, Beg, Mirza Faisal, Rosen, Howard, Wang, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043119/ https://www.ncbi.nlm.nih.gov/pubmed/35496375 http://dx.doi.org/10.1002/dad2.12304 |
Ejemplares similares
-
Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer’s Disease related neurodegeneration
por: Taylor, Alexei, et al.
Publicado: (2022) -
Grant Report on PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis
por: Wang, Lei, et al.
Publicado: (2019) -
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
por: Lu, Donghuan, et al.
Publicado: (2018) -
Quantifying brain metabolism from FDG‐PET images into a probability of Alzheimer's dementia score
por: Yee, Evangeline, et al.
Publicado: (2019) -
Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases
por: Popuri, Karteek, et al.
Publicado: (2020)