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Neural Plasticity
Volume 2017 (2017), Article ID 8789724, 7 pages
https://doi.org/10.1155/2017/8789724
Research Article

Assessment of Emotional Expressions after Full-Face Transplantation

1Faculty of Engineering, Department of Electrical-Electronics Engineering, Akdeniz University, Antalya, Turkey
2Faculty of Medicine, Department of Neurology, Akdeniz University, Antalya, Turkey
3Faculty of Medicine, Department of Plastic and Reconstructive Surgery, Akdeniz University, Antalya, Turkey
4Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Akdeniz University, Antalya, Turkey

Correspondence should be addressed to Hilmi Uysal; rt.ude.zinedka@hlasyu

Received 21 September 2016; Accepted 7 May 2017; Published 21 June 2017

Academic Editor: Gionata Strigaro

Copyright © 2017 Çağdaş Topçu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We assessed clinical features as well as sensory and motor recoveries in 3 full-face transplantation patients. A frequency analysis was performed on facial surface electromyography data collected during 6 basic emotional expressions and 4 primary facial movements. Motor progress was assessed using the wavelet packet method by comparison against the mean results obtained from 10 healthy subjects. Analyses were conducted on 1 patient at approximately 1 year after face transplantation and at 2 years after transplantation in the remaining 2 patients. Motor recovery was observed following sensory recovery in all 3 patients; however, the 3 cases had different backgrounds and exhibited different degrees and rates of sensory and motor improvements after transplant. Wavelet packet energy was detected in all patients during emotional expressions and primary movements; however, there were fewer active channels during expressions in transplant patients compared to healthy individuals, and patterns of wavelet packet energy were different for each patient. Finally, high-frequency components were typically detected in patients during emotional expressions, but fewer channels demonstrated these high-frequency components in patients compared to healthy individuals. Our data suggest that the posttransplantation recovery of emotional facial expression requires neural plasticity.