Cargando…
Understanding the Role of Connectivity Dynamics of Resting-State Functional MRI in the Diagnosis of Autism Spectrum Disorder: A Comprehensive Study
In addition to the standard observational assessment for autism spectrum disorder (ASD), recent advancements in neuroimaging and machine learning (ML) suggest a rapid and objective alternative using brain imaging. This work presents a pipelined framework, using functional magnetic resonance imaging...
Autores principales: | ElNakieb, Yaser, Ali, Mohamed T., Elnakib, Ahmed, Shalaby, Ahmed, Mahmoud, Ali, Soliman, Ahmed, Barnes, Gregory Neal, El-Baz, Ayman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855190/ https://www.ncbi.nlm.nih.gov/pubmed/36671628 http://dx.doi.org/10.3390/bioengineering10010056 |
Ejemplares similares
-
The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results
por: ElNakieb, Yaser, et al.
Publicado: (2021) -
The Role of Structure MRI in Diagnosing Autism
por: Ali, Mohamed T., et al.
Publicado: (2022) -
A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework
por: Ali, Mohamed T., et al.
Publicado: (2023) -
Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey
por: Helmy, Eman, et al.
Publicado: (2023) -
A Personalized Autism Diagnosis CAD System Using a Fusion of Structural MRI and Resting-State Functional MRI Data
por: Dekhil, Omar, et al.
Publicado: (2019)