ArticleEntropy (Basel, Switzerland)2022
Cross-Correlation- and Entropy-Based Measures of Movement Synchrony: Non-Convergence of Measures Leads to Different Associations with Depressive Symptoms.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- A Dynamic State-Based Framework for Quantifying Triadic Autonomic Synchrony During Group Decision-Making.Psychophysiology · 2026Article
- Toward an Understanding of the Psychological Meaning of Physiological Synchrony.Psychophysiology · 2026Review
- Cross-wavelet analysis allows obtaining high temporal and frequency resolution in heart rate synchrony analysis.Frontiers in network physiology · 2026Article
- Article
- Interpersonal Physiological Synchrony During Dyadic Joint Action Is Increased by Task Novelty and Reduced by Social Anxiety.Psychophysiology · 2025Article
- Applications of synergetics in psychology: interpersonal synchrony in social systems.Frontiers in network physiology · 2025Article
- Electrodermal synchrony of patient and therapist as a predictor of alliance and outcome in psychotherapy.Frontiers in psychology · 2025Article
- Audience synchronies in live concerts illustrate the embodiment of music experience.Scientific reports · 2023Article
- Synchrony in psychotherapy: High physiological positive concordance predicts symptom reduction and negative concordance predicts symptom aggravation.International journal of methods in psychiatric research · 2023Article
- Antiphase synchrony increases perceived entitativity and uniqueness: A joint hand-clapping task.Frontiers in psychology · 2023Article
- Complexity Science in Human Change: Research, Models, Clinical Applications.Entropy (Basel, Switzerland) · 2022Article
- Challenges and added value of measuring embodied variables in psychotherapy.Frontiers in psychiatry · 2022Review
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral algorithms have been proposed to quantify synchronization. However, little is known about their convergent and predictive validity.
methodsThe sample included 30 persons who completed a manualized interview focusing on psychosomatic symptoms. The intensity of body motions was measured using motion-energy analysis. We computed several measures of movement synchrony based on the time series of the interviewer and participant: mutual information, windowed cross-recurrence analysis, cross-correlation, rMEA, SUSY, SUCO, WCLC-PP and WCLR-PP. Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ9).
resultsAccording to the explorative factor analyses, all the variants of cross-correlation and all the measures of SUSY, SUCO and rMEA-WCC led to similar synchrony measures and could be assigned to the same factor. All the mutual-information measures, rMEA-WCLC, WCLC-PP-F, WCLC-PP-R2, WCLR-PP-F, and WinCRQA-DET loaded on the second factor. Depressive symptoms correlated negatively with WCLC-PP-F and WCLR-PP-F and positively with rMEA-WCC, SUCO-ES-CO, and MI-Z.
conclusionMore standardization efforts are needed because different synchrony measures have little convergent validity, which can lead to contradictory conclusions concerning associations between depressive symptoms and movement synchrony using the same dataset.
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