MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules. (arXiv:2201.00404v1 [q-bio.NC])

Resting-state fMRI is commonly used for diagnosing Autism Spectrum Disorder
(ASD) by using network-based functional connectivity. It has been shown that
ASD is associated with brain regions and their inter-connections. However,
discriminating based on connectivity patterns among imaging data of the control
population and that of ASD patients' brains is a non-trivial task. In order to
tackle said classification task, we propose a novel deep learning architecture
(MHATC) consisting of multi-head attention and temporal consolidation modules
for classifying an individual …

arxiv attention bio consolidation multi-head attention