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Sang-Eon Park, Jisu Chung, Jeonghyun Lee, Minwoo JB Kim, Jinhee Kim, Hong Jin Jeon, Hyungsook Kim, Choongwan Woo, Hackjin Kim, Sang Ah Lee (Seoul National University)

PLOS Digital Health (2024)

• Abstract:
• The researchers created digital tasks to measure how people’s thinking and feelings may be biased, across ages and in clinical groups.
• They provided a 2-week gamified training and found emotional bias went down in the training group, especially those with anxiety.
• EEG changed in ways that matched improvements, suggesting possible digital therapy tools.
• Findings:
• Negative emotional stimuli slowed responses more than neutral or positive stimuli, especially in people with higher anxiety.
• The tasks worked similarly across children, adults, and people with depression.
• Two-week digital training reduced emotional bias; that reduction was linked to lower anxiety.
• EEG markers (frontal alpha/gamma power) tracked with emotional bias and its improvement.
• Conclusion:
• Digital, game-style tasks can help assess and reduce emotional-cognitive bias in mental health.
• Brain-wave changes suggest these tools could monitor treatment.
• More work is needed to apply this broadly and in real-world settings.