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Digital Mindfulness for GAD: Machine Learning Predicted App Engagement

MHD featured image for digital mindfulness engagement prediction in generalized anxiety disorder.

A 2026 machine-learning analysis of 110 adults with generalized anxiety disorder predicted 2-week digital mindfulness engagement with R2 = 82.1% in a top-10 predictor model, and the model favored mindfulness prompts over self-monitoring prompts for engagement (d = 1.447, p < .001).1 The calibrated read is that engagement with brief app-based mindfulness may be matchable, …

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fMRI Biotypes Predicted tDCS Anxiety Response in Older Adults

Photoreal illustration of a clinician fitting a tDCS device on an older adult, with brain network biotype overlays.

A 2026 BETA analysis of 199 older adults found that resting-state fMRI could separate 4 anxiety-related tDCS response patterns, but the result was narrower than “brain scan predicts treatment”: only the Robust tDCS Responder subtype showed a statistically reliable Active vs. Sham anxiety advantage across all participants.1 Research Highlights Only 1 subtype cleared the Active …

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