Complexity Science in Human Change Research, Models, Clinical Applications

• Other Authors: Orsucci, Franco (Editor), Tschacher, Wolfgang (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Psychology; surrogate synchrony; multivariate analysis; simulation; movement synchrony; affect; affective saturation index; meaning; text analysis; physiology; heart rate variability; imagery rescripting; physiological synchrony; electrodermal activity; actor-partner interdependence models; synchronization; semiotics; information; cognitive neuroscience; psychotherapy; conversation; mapping; chimaera states; statistical dynamics; coupling; schizophrenia; phase transition; emotions; embodiment; self-organization; nonlinear dynamics; recurrence quantifications; line entropy; recurrence matrix masking; neuron; electric field; weak coupling; gap junction; recurrence plot; heart rate; therapeutic alliance; psychotherapy process; couple therapy; autocatalytic network; creativity; conceptual network; therapeutic change; uncertainty; worldview; complexity; motor development; multidimensional recurrence quantification analysis; infants; limb movements; remote communication; movement coordination; recurrence quantification analysis; cusp catastrophe; financial capacity; amnestic mild cognitive impairment; depressive symptoms; nonverbal communication; time-series analysis; validity; depression; fractals; monofractals; fractal time series; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience.