The potential possibility of nonlinear recurrence methods application for posttraumatic stress disorder investigation

This article describes methods of nonlinear physics related to recurrent analysis that may be useful in studying the effect of posttraumatic stress disorder on sleep disorders. Traditional pharmacological and psychotherapeutic approaches widely used to treat post-traumatic stress disorder require longterm and painstaking work, combining the joint efforts of clinical specialists and the patient. The versatility and variability of the clinical picture of this disease makes the diagnosis and treatment of post-traumatic stress disorder syndromes particularly difficult. In particular, only in International Classification of Diseases 11th Revision was complex post-traumatic stress disorder isolated from the general group of dissociative disorders. However, one of the few unifying characteristics for such patients is significant disruption of night sleep. Currently, mathematical methods, pumped from nonlinear physics, are often used to analyze physiological signals and assess the condition of patients with various diseases, including depression, chronic migraines, and apnea syndrome. However, recurrent analysis has not been used to date in the study of post-traumatic stress disorder. We are confident, based on the successful application of this method to the study of patients with migraines, orthodontic disorders, and sleep disorders, that this is a major omission and scientists working on the problem of post-traumatic stress disorder should pay close attention to the methods proposed in this article for a comprehensive study of the problem. Careful application of the proposed methods will undoubtedly contribute to the study of the effect of various psychiatric diseases on sleep, including posttraumatic stress disorder, and will help to develop more advanced methods of gentle rehabilitation.