Over the past decade or so, research within the field of behavioral health has given rise to a wide variety of evidence-based practices. Characterizing and legitimately testing the effects of treatments has been a significant positive direction for behavioral health.  However, notably missing from this literature are investigations of factors related to individuals who did not appear to benefit from the interventions.  Understanding individual differences may contribute valuable information about how and when interventions are most likely to be effective.

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The article for this week’s podcast: Affective Instability Predicted by Resting HRV