Cargando…
Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence
Multiple sclerosis (MS) is a neurological condition characterized by severe structural brain damage and by functional reorganization of the main brain networks that try to limit the clinical consequences of structural burden. Resting‐state (RS) functional connectivity (FC) abnormalities found in thi...
Autores principales: | Yamin, Muhammad Abubakar, Valsasina, Paola, Tessadori, Jacopo, Filippi, Massimo, Murino, Vittorio, Rocca, Maria A., Sona, Diego |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028625/ https://www.ncbi.nlm.nih.gov/pubmed/36715247 http://dx.doi.org/10.1002/hbm.26210 |
Ejemplares similares
-
Time-varying connectivity of the precuneus and its association with
cognition and depressive symptoms in neuromyelitis optica: A pilot MRI
study
por: Cacciaguerra, Laura, et al.
Publicado: (2022) -
Extra-Visual Functional and Structural Connection Abnormalities in Leber's Hereditary Optic Neuropathy
por: Rocca, Maria A., et al.
Publicado: (2011) -
Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis
por: Valsasina, Paola, et al.
Publicado: (2019) -
An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease
por: Amoroso, Nicola, et al.
Publicado: (2023) -
Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity
por: Allen, Ben, et al.
Publicado: (2022)