Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences

Task fMRI provides an opportunity to analyze the working mechanisms of the human brain during specific experimental paradigms. Deep learning models have increasingly been applied for decoding and encoding purposes study to representations in task fMRI data. More recently, graph neural networks, or n...

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Detalles Bibliográficos
Autores principales: Saeidi, Maham, Karwowski, Waldemar, Farahani, Farzad V., Fiok, Krzysztof, Hancock, P. A., Sawyer, Ben D., Christov-Moore, Leonardo, Douglas, Pamela K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405908/
https://www.ncbi.nlm.nih.gov/pubmed/36009157
http://dx.doi.org/10.3390/brainsci12081094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405908/
https://www.ncbi.nlm.nih.gov/pubmed/36009157
http://dx.doi.org/10.3390/brainsci12081094

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