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    Studying the Effect of Motor Learning on Muscle Synergies During Balance

    , M.Sc. Thesis Sharif University of Technology Karami, Hojat (Author) ; Farahmand, Farzam (Supervisor) ; Baniasad, Mina (Co-Supervisor)
    Our body makes use of many degrees of freedom in muscle space. As a result, there are many solutions for activating muscles when performing a specific task. “how our central nervous system (CNS) controls abundant degrees of freedom?” has been a popular question for researchers in the field of motor control since Bernstein. The existence of muscle synergies is one of the proposed hypothesis, and there is experimental evidence that they are encoded in our CNS as building blocks. The aim of this study is to study the effect of training on the number, structures, and activation profiles of muscle synergies that are used for maintaining balance. For this purpose, electromyography data from 28... 

    The Development of a Postural Control Model for People with Parkinson’s disease to Predict Rehabilitation Exercises Effects

    , Ph.D. Dissertation Sharif University of Technology Rahmati, Zahra (Author) ; Behzadipour, Saeed (Supervisor) ; Firoozbakhsh, Keikhosrow (Supervisor) ; Taghizadeh, Ghorban (Co-Supervisor)
    Background: Parkinson’s disease (PD) patients seriously suffer from instability and impaired postural control. Rehabilitation exercises help them to recover their ability through long-term practical sessions. For designing optimal tasks in each session, and in agreement with each patient’s state, it is essential to employ computational models and approaches.Objective: The goal of this study is to develop a computational postural control model of Parkinson’s disease in order to provide new understanding of the postural control in PD, and to gain insight on the effect of balance trainings on PD (the learning dynamics), from the view of this model.Methods: In the first phase of this study, the... 

    Disentangling stability and flexibility degrees in Parkinson's disease using a computational postural control model

    , Article Journal of NeuroEngineering and Rehabilitation ; Volume 16, Issue 1 , 2019 ; 17430003 (ISSN) Rahmati, Z ; Schouten, A. C ; Behzadipour, S ; Taghizadeh, G ; Firoozbakhsh, K ; Sharif University of Technology
    BioMed Central Ltd  2019
    Background: Impaired postural control in Parkinson's disease (PD) seriously compromises life quality. Although balance training improves mobility and postural stability, lack of quantitative studies on the neurophysiological mechanisms of balance training in PD impedes the development of patient-specific therapies. We evaluated the effects of a balance-training program using functional balance and mobility tests, posturography, and a postural control model. Methods: Center-of-pressure (COP) data of 40 PD patients before and after a 12-session balance-training program, and 20 healthy control subjects were recorded in four conditions with two tasks on a rigid surface (R-tasks) and two on foam.... 

    Postural control learning dynamics in Parkinson's disease: Early improvement with plateau in stability, and continuous progression in flexibility and mobility

    , Article BioMedical Engineering Online ; Volume 19, Issue 1 , 2020 Rahmati, Z ; Behzadipour, S ; Schouten, A. C ; Taghizadeh, G ; Firoozbakhsh, K ; Sharif University of Technology
    BioMed Central Ltd  2020
    Background: Balance training improves postural control in Parkinson's disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program, are poorly understood. Objectives: We investigated the learning dynamics of the postural control in PD, during a balance-training program, in terms of the clinical, posturographic, and novel model-based measures. Methods: Twenty patients with PD participated in a balance-training program, 3 days a week, for 6 weeks. Clinical tests assessed functional balance and mobility pre-training, mid-training, and post-training....