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AttentionCARE: replicability of a BCI for the clinical application of augmented reality-guided EEG-based attention modification for adolescents at high risk for depression

Authors :
Richard Gall
Nastasia Mcdonald
Xiaofei Huang
Anna Wears
Rebecca B. Price
Sarah Ostadabbas
Murat Akcakaya
Mary L. Woody
Source :
Frontiers in Human Neuroscience, Vol 18 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

Affect-biased attention is the phenomenon of prioritizing attention to emotionally salient stimuli and away from goal-directed stimuli. It is thought that affect-biased attention to emotional stimuli is a driving factor in the development of depression. This effect has been well-studied in adults, but research shows that this is also true during adolescence, when the severity of depressive symptoms are correlated with the magnitude of affect-biased attention to negative emotional stimuli. Prior studies have shown that trainings to modify affect-biased attention may ameliorate depression in adults, but this research has also been stymied by concerns about reliability and replicability. This study describes a clinical application of augmented reality-guided EEG-based attention modification (“AttentionCARE”) for adolescents who are at highest risk for future depressive disorders (i.e., daughters of depressed mothers). Our results (n = 10) indicated that the AttentionCARE protocol can reliably and accurately provide neurofeedback about adolescent attention to negative emotional distractors that detract from attention to a primary task. Through several within and cross-study replications, our work addresses concerns about the lack of reliability and reproducibility in brain-computer interface applications, offering insights for future interventions to modify affect-biased attention in high-risk adolescents.

Details

Language :
English
ISSN :
16625161
Volume :
18
Database :
Directory of Open Access Journals
Journal :
Frontiers in Human Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.1f9bc94690b748018fd444b51ddc8df8
Document Type :
article
Full Text :
https://doi.org/10.3389/fnhum.2024.1360218