ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework

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Mohammadreza Bakhtyari, Sayeh Mirzaei

Published: 2022, Last Modified: 27 Sept 2025Biomed. Signal Process. Control. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•In this paper, we provide a promising technique for ADHD classification.•We compute dynamic connectivity tensors representing the correlation among EEG channels as discriminatory features.•A combination of ConvLSTM network and attention mechanism is used as classification model.•The proposed framework leads to superior performance for ADHD classification task as shown within the experiments.