Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples
Abstract Given the heterogeneous nature of attention-deficit/hyperactivity disorder (ADHD) and the absence of established biomarkers, accurate diagnosis and effective treatment remain a challenge in clinical practice. This study investigates the predictive utility of multimodal data, including eye t...
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Main Authors: | Annika Wiebe, Benjamin Selaskowski, Martha Paskin, Laura Asché, Julian Pakos, Behrem Aslan, Silke Lux, Alexandra Philipsen, Niclas Braun |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2024-12-01
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Series: | Translational Psychiatry |
Online Access: | https://doi.org/10.1038/s41398-024-03217-y |
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