2024
DOI: 10.1002/nbm.5138
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A review of ADHD detection studies with machine learning methods using rsfMRI data

Gurcan Taspinar,
Nalan Ozkurt

Abstract: Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significantly affects school‐age children, causing difficulties with learning and daily functioning. Early identification is crucial, and reliable and objective diagnostic tools are necessary. However, current clinical evaluations of behavioral symptoms can be inconsistent and subjective. Functional magnetic resonance imaging (fMRI) is a non‐invasive technique that has proven effective in detecting brain abnormalities in i… Show more

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Cited by 4 publications
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