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What is ADHD Diagnosis via fMRI Fractal Analysis about?

This paper presents an automatic ADHD diagnosis method utilizing deep learning to extract spatial-temporal features from resting state fMRI (rs-fMRI) using both monofractal and multifractal dimensions. By focusing on three ADHD-related resting state networks, the method aims to improve diagnostic accuracy and reliability, achieving a state-of-the-art accuracy of 85.1% across five datasets. The approach highlights the importance of fractal analysis in capturing the underlying complexities of brain activity a

Author

sumahalesh4

Language

EN