Empathy in psychotherapy: subjective ratings versus remote biosensing of interpersonal heart rate synchrony as outcome predictors
Gernert, C. C.; Falkai, P.; Falter-Wagner, C. M.
Show abstract
1The therapeutic alliance is widely recognized as a key predictor of psychotherapy outcome, though it is predominantly assessed through subjective self-reports. This proof-of-concept study investigated whether interpersonal movement and heart rate synchrony can serve as objective biomarkers for therapy effectiveness within naturalistic cognitive behavioral therapy (CBT) settings. Twelve patient-therapist dyads were analyzed in a short-term follow-up setting. Physiological signals were continuously recorded using wrist-worn wearable sensors, while head and body movements were captured via video recordings. After each session, both dyad members completed alliance questionnaires. Patients also provided standardized symptom ratings. Interpersonal synchrony was quantified using lagged-windowed cross-correlations across both modalities. Results confirmed the presence of synchrony in movement and heart rate during CBT sessions. Notably, in-phase heart rate synchrony measured in the initial session significantly predicted changes in both, patients self-rated global severity index and depressive symptom severity over time, independent of baseline symptom burden. Among subjective measures, only therapists ratings of the therapeutic alliance significantly predicted short-term therapy outcome. These findings highlight interpersonal physiological synchrony as a meaningful and unobtrusive objective marker of therapeutic engagement and effectiveness. Incorporating wearable biosensing into psychotherapy research might offer a scalable, objective approach to understanding and enhancing treatment effectiveness. Based on this proof-of-concept study, future studies with larger samples are warranted to refine synchrony-based predictive models and explore their potential for personalizing treatment choices for improving patient-therapist matching in evidence-based psychotherapy.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Altered directed functional connectivity of the right amygdala in depression: high-density EEG study 91%
- Alpha activity neuromodulation induced by individual alpha-based neurofeedback learning in ecological context: A double-blind randomized study 91%
- Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality 91%
Similar papers in this journal
- Self-blaming emotions in major depression: a randomised pilot trial comparing fMRI neurofeedback training with self-guided psychological strategies (NeuroMooD) 92%
- Neurophysiological Changes Associated with Vibroacoustically-augmented Breath-focused Mindfulness for Dissociation: Targeting Interoception and Attention 92%
- Altered reward network responses to social touch in major depression 91%
Similar papers in this journal
- Transcranial Focused Ultrasound Targeting the Default Mode Network for the Treatment of Depression 93%
- Patients with affective disorders profit most from telemedical treatment: Evidence from a naturalistic patient cohort during the COVID-19 pandemic 92%
- Evaluation of easy-to-implement anti-stress interventions in a series of N-of-1 trials: Study protocol of the Anti-Stress Intervention Among Physicians Study (ASIP) 91%
Similar papers in this journal
- Increased resting-state functional connectivity within theta and alpha frequency bands in dysphoria: Towards a novel measure of depression risk 92%
- Depression is Associated with Treatment Response Trajectories in Adults with Prolonged Grief Disorder: A Machine Learning Analysis 92%
- Enhanced network synchronization connectivity following transcranial direct current stimulation (tDCS) in bipolar depression: effects on EEG oscillations and deep learning-based predictors of clinical remission 91%
Similar papers in this journal
- Whole-brain Mechanism of Neurofeedback Therapy: Predictive Modeling of Neurofeedback Outcomes on Repetitive Negative Thinking in Depression 93%
- Potential Neurocognitive Biomarkers for Post Traumatic Stress Disorder (PTSD) Severity in Recent Trauma Survivors 92%
- Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.