Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network

The functional connectivity (FC) patterns of resting-state functional magnetic resonance imaging (rs-fMRI) play an essential role in the development of autism spectrum disorders (ASD) classification models. There are available methods in literature that have used FC patterns as inputs for binary cla...

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Detalles Bibliográficos
Autores principales: Al-Hiyali, Mohammed Isam, Yahya, Norashikin, Faye, Ibrahima, Hussein, Ahmed Faeq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398492/
https://www.ncbi.nlm.nih.gov/pubmed/34450699
http://dx.doi.org/10.3390/s21165256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398492/
https://www.ncbi.nlm.nih.gov/pubmed/34450699
http://dx.doi.org/10.3390/s21165256

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