ArticleFrontiers in psychiatry2026
A mechanism-driven real-time respiratory modulation framework for rapid affective regulation via prefrontal EEG computational phenotyping.
Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Respiratory modulation has emerged as a measurable psychomotor phenotype and a promising non-invasive approach for the regulation of affective disturbances. In this study, a mechanismdriven real-time respiratory modulation framework is proposed to investigate its rapid effects on affective states and underlying neurophysiological dynamics in the context of computational psychiatry. A total of 26 breathwork-naive participants were recruited, of whom 24 were retained for final analysis after two EEG datasets with excessive noise were excluded; all participants completed a 40-minute intermittent real-time respiratory modulation protocol comprising two 20-minute sessions under controlled laboratory conditions. Multimodal assessments, including electroencephalography (EEG) and the Profile of Mood States (POMS), were employed to quantify computational phenotypes associated with changes in affective states before and after the intervention. EEG signals were analyzed with a focus on prefrontal oscillatory activity, examining band-specific power variations associated with affective processing. Behavioral results indicated significant improvements in affective states, characterized by reduced negative psychological symptoms (e.g., tension and fatigue) and enhanced positive mood (
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