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Article type: Research Article
Authors: Moustafaa, Engy BadrEldin S.a; * | Darwish, Moshera H.a | El-Tamawy, Mohammed S.b | Abu Elkasem, Shimaa T.c
Affiliations: [a] Department of Neurology, Faculty of Physical Therapy, Cairo University, Giza, Egypt | [b] Department of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt | [c] Department of Basic Science, Faculty of Physical Therapy, Cairo University, Giza, Egypt
Correspondence: [*] Address for correspondence: Engy BadrEldin Saleh Moustafa, PhD., Lecturer, Faculty of physical Therapy, Cairo University, 7 Ahmed ELzayat St. Bien Elsarayat, Dokki, P.O. Box 11432, Giza, Egypt. E-mail: [email protected].
Abstract: BACKGROUND:Fatigue, cognition problems and multiple sclerosis (MS) inflammatory processes became main quality of life indicators and points of clinical significance in MS practice. OBJECTIVE:The purpose of the current study was to investigate the changes in primary fatigue level, degree of cognitive dysfunction and level of inflammatory biomarkers in response to computer-based cognitive training in patients with MS. METHODS:A total of 40 remitting-relapse MS patients were divided into two groups, both groups were suffering cognitive decline, primary fatigue with elevated serum levels of the inflammatory biomarkers. Patients in the control group (GA) underwent conventional physical therapy program for MS including aerobic training, resistive training and a flexibility program in addition to placebo cognitive sessions, study group patients (GB) received an intensive computer-based cognitive program using the REHACOM software in addition to the same conventional physical therapy program as in GA. RESULTS:Significant decrease in the level of primary fatigue and in the serum levels of inflammatory biomarkers in GB patients compared to GA, as well as a remarkable improvement in the cognitive abilities in favor to the study group (GB) (p < 0.05). CONCLUSION:The addition of computer-based cognitive training in the rehabilitation program of MS patients is efficient in improving disease course via decreasing fatigue levels, enhancing cognitive abilities and reducing level of inflammatory biomarkers.
Keywords: Computer-based cognitive training, cognitive dysfunction, inflammatory biomarkers, multiple sclerosis, primary fatigue
DOI: 10.3233/NRE-220001
Journal: NeuroRehabilitation, vol. 51, no. 2, pp. 315-324, 2022
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