Article

Advancing ASD diagnostic classification using time-frequency spectrograms of fMRI BOLD signals and machine learning

2024-11-13

Abstract excerpt

<title>Abstract</title> <p>In this study, our goal was to develop a diagnostic framework for autism spectrum disorder (ASD) by analyzing time-frequency spectrograms generated from BOLD signals in functional magnetic resonance imaging (fMRI) data. We used fMRI data from the Autism Brain Imaging Data Exchange (ABIDE) database and performed brain parcellation with Gordon’s, Harvard-Oxford, and Diedrichsen atlases. T...

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Literature Corpus work: 12211120-8f09-5439-aa8f-061bb85bf14f
DOI: 10.21203/rs.3.rs-5170177/v1

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