TY - GEN

T1 - How to design the biofeedback training for the rehabilitation of PTSD patients?

AU - Bazanova, Olga

AU - Zakharov, Alexander

AU - Larkova, Irina

AU - Maryanovskaya, Tatiana

AU - Melnikov, Andrey

AU - Ermolaeva, Sargylana

AU - Nikolenko, Ekaterina

AU - Shirolapov, Igor

N1 - © 2023 IEEE.

PY - 2023

Y1 - 2023

N2 - Rationale for this review is the pressing medical and social problem of the posttraumatic stress disorder (PTSD) treatment. It is known that biofeedback technology is one of the most effective methods of treatment and rehabilitation for emotional profile disorders. In order to develop biofeedback aimed to PTSD rehabilitation, we conducted a literature search on this problem. However, it appears that at the moment there is not enough unambiguous data on this type of biofeedback design. The pathogenesis of PTSD is closely related to impaired efficiency of sensorimotor integration (SMI). The effectiveness of therapy for psychosomatic disorders in patients with PTSD can be increased by restoring normal sensorimotor integration. The review examines various autonomic, electrophysiological and postural markers of destroyed sensorimotor integration (SMI) in individuals with PTSD. We have found that the most informative indicators of SMI in norm include: an increase in EEG power in the individually determined high-frequency alpha subrange, a decrease in the speed of body sway and energy demands to maintain a vertical posture, and a decrease in EMG activity of muscles not involved in cognitive or psychomotor performance. We intend to use these indicators in diagnostic purposes and to develop neurofeedback technology for SMI recovery in patients with PTSD.

AB - Rationale for this review is the pressing medical and social problem of the posttraumatic stress disorder (PTSD) treatment. It is known that biofeedback technology is one of the most effective methods of treatment and rehabilitation for emotional profile disorders. In order to develop biofeedback aimed to PTSD rehabilitation, we conducted a literature search on this problem. However, it appears that at the moment there is not enough unambiguous data on this type of biofeedback design. The pathogenesis of PTSD is closely related to impaired efficiency of sensorimotor integration (SMI). The effectiveness of therapy for psychosomatic disorders in patients with PTSD can be increased by restoring normal sensorimotor integration. The review examines various autonomic, electrophysiological and postural markers of destroyed sensorimotor integration (SMI) in individuals with PTSD. We have found that the most informative indicators of SMI in norm include: an increase in EEG power in the individually determined high-frequency alpha subrange, a decrease in the speed of body sway and energy demands to maintain a vertical posture, and a decrease in EMG activity of muscles not involved in cognitive or psychomotor performance. We intend to use these indicators in diagnostic purposes and to develop neurofeedback technology for SMI recovery in patients with PTSD.

KW - PTSD

KW - biofeedback

KW - electroencephalography

KW - electromyography

KW - sensorimotor integration

KW - stabilography

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85180361131&origin=inward&txGid=65f240fe149b03bd83f3816d9e1d60ff

UR - https://www.mendeley.com/catalogue/0dfcd2bb-30ad-37b0-88a3-31776e60f356/

U2 - 10.1109/CSGB60362.2023.10329818

DO - 10.1109/CSGB60362.2023.10329818

M3 - Conference contribution

SN - 9798350307979

T3 - 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings

SP - 283

EP - 286

BT - 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine

Y2 - 28 September 2023 through 29 September 2023

ER -