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parkinson-disease
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Detection of L-Dopa Based on Fluorescent of levodopa Nanopolymers and CdTe Quantum Dots
, M.Sc. Thesis Sharif University of Technology ; Hormozi Nezhad, Mohammad Reza (Supervisor)
Abstract
Levodopa [L-3, 4-dihydroxyphenylalanine, or L-DOPA] is an important neurotransmitter used for the treatment of neural disorders such as Parkinson’s disease. Abnormal L-Dopa concentrations in biological fluids can be used for evaluation of diseases such as Parkinson’s diseases. In the first part of this thesis, a rapid and sensitive method for levodopa detection was reported which is based on in situ formation of polylevodopa nanoparticles. The assay is very simple and low cost and uses only NaOH and HCl as reagents. Under alkaline conditions, levodopa is spontaneously oxidized to its quinone derivative and shows the fluorescence properties. The fluorescence signal of the oxidation product of...
Balance Assessment in Parkinson Disease based on a Combination of Posturographic Indices
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor) ; Taghizadeh, Ghorban (Supervisor)
Abstract
Parkinson's disease is a progressive neurodegenerative disease in which balance disorders are a common symptom. Clinical and non-clinical methods have been developed to evaluate the quality of maintaining balance. Clinical methods include questionnaires and tests that are scored by the therapist and therefore depend on the examiner's skill. On the other hand, there are biomechanical methods that do not depend on the therapist's skill. Posturography -based methods are among the biomechanical tests used today to assess balance. In these methods, some indicators are extracted from the patient's foot center of pressure that can measure the quality of balance. These studies usually examine the...
Improving the Performance of an Activity Recognition System Using Meaningful Data Augmentation and Deep Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor)
Abstract
Researchers working at Mowafaghian Rehabilitation Research Center have decided to develop a telerehabilitation system named SEPANTA, especially designed for activity recognition of Parkinson's Disease patients. In this regard, the system uses 34 mobility exercises, including 20 LSVT-BIG activities (especially designed for PD patients) and 14 functional daily activities. Human Activity Recognition (HAR) systems faces various challenges e.g., intra-class variabilities, meaning differences in an activity performance by different persons or a person. Data augmentation and utilizing deep learning models are the most common solutions for the risen challenges. However, deep structures require an...
Development of a Balance Assessment Method in Dynamic Tasks (LOS) Using a Sway Control Model in Parkinson's Disease
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor) ; Mohebbi, Abolfazl (Co-Supervisor)
Abstract
Parkinson's disease impairs the patients' balance with the degeneration of the neurons related to their postural control. There are many rehabilitation methods to preclude the disease or weaken its effects. To assess the influence of these methods and their outcome, there are two main evaluation methods, including clinical (qualitative and dependent on the presence of a therapist) and quantitative, such as posturography. Using control models is one of the quantitative methods researchers have been used for more than three decades. Considering this and what have been done in the literature, the purpose of this research is to develop a balance assessment method in dynamic tasks, such as the...
The effects of supervised and non-supervised upper limb virtual reality exercises on upper limb sensory-motor functions in patients with idiopathic Parkinson's disease
, Article Human Movement Science ; Volume 85 , 2022 ; 01679457 (ISSN) ; Taghizadeh, G ; Azad, A ; Behzadipour, S ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Background: Impairments of upper limb (UL) sensory-motor functions are common in Parkinson's disease (PD). Virtual reality exercises may improve sensory-motor functions in a safe environment and can be used in tele-rehabilitation. This study aimed to investigate the effects of supervised and non-supervised UL virtual reality exercises (ULVRE) on UL sensory-motor functions in patients with idiopathic PD. Methods: In this clinical trial study, 45 patients with idiopathic PD (29 male) by mean ± SD age of 58.64 ± 8.69 years were randomly allocated to either the control group (conventional rehabilitation exercises), supervised ULVRE or non-supervised ULVRE. Interventions were 24 sessions, 3...
The effects of anxiety and external attentional focus on postural control in patients with Parkinson’s disease
, Article PLoS ONE ; Volume 13, Issue 2 , 2018 ; 19326203 (ISSN) ; Azad, A ; Mehdizadeh, H ; Habibi, S. A ; Mandehgary Najafabadi, M ; Saberi, Z. S ; Rahimzadegan, H ; Moradi, S ; Behzadipour, S ; Parnianpour, M ; Taghizadeh, G ; Khalaf, K ; Sharif University of Technology
Public Library of Science
2018
Abstract
Background Although anxiety is a common non-motor outcome of Parkinson's disease (PD) affecting 40% of patients, little attention has been paid so far to its effects on balance impairment and postural control. Improvement of postural control through focusing on the environment (i.e. external focus) has been reported, but the role of anxiety, as a confounding variable, remains unclear. Objectives This study aimed to investigate the influence of anxiety and attentional focus instruction on the standing postural control of PD patients. Methods Thirty-four patients with PD (17 with high anxiety (HA-PD) and 17 with low anxiety (LA-PD)), as well as 17 gender- and age-matched healthy control...
The effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on the cognitive and motor functions in rodents: A systematic review and meta-analysis
, Article Neuroscience and Biobehavioral Reviews ; Volume 140 , 2022 ; 01497634 (ISSN) ; Abbaszadeh, M ; Ghazizadeh, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Memory and motor deficits are commonly identified in Parkinson's disease (PD). 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is transformed to MPP+ via monoamine oxidase B (MAOB), which causes oxidative stress and destroys dopaminergic (DA) neurons in substantia nigra pars compacta (SNc) and is widely used to create animal models of PD. However, to-date, a comprehensive analysis of the MPTP effects on various aspects of PD does not exist. Here, we provide a systematic review and meta-analysis on the MPTP effects on memory and motor functions by analyzing 51 studies on more than one thousand animals mainly including rats and mice. The results showed that in addition to motor functions...
Symmetric and asymmetric bimanual coordination and freezing of gait in Parkinsonian patients in drug phases
, Article Annals of the New York Academy of Sciences ; Volume 1511, Issue 1 , 2022 , Pages 244-261 ; 00778923 (ISSN) ; Azad, A ; Akbarfahimi, M ; Behzadipour, S ; Taghizadeh, G ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Freezing of gait (FOG) is a debilitating symptom in patients with Parkinson's disease (PD), which may be associated with motor control impairments in tasks other than gait. This study aimed to examine whether symmetric and asymmetric bimanual coordination is impaired in PD with FOG (PD +FOG) patients and whether dual-task and drug phases may affect bimanual coordination in these patients. Twenty PD +FOG patients, 20 PD patients without FOG (PD –FOG) performed symmetric and asymmetric functional bimanual tasks (reach to and pick up a box and open a drawer to press a pushbutton inside it, respectively) under single-task and dual-task conditions. PD patients were evaluated during on- and...
Recent advances in the design and applications of amyloid-β peptide aggregation inhibitors for Alzheimer’s disease therapy
, Article Biophysical Reviews ; Volume 11, Issue 6 , 2019 , Pages 901-925 ; 18672450 (ISSN) ; Khazaei, S ; Behnammanesh, H ; Shamloo, A ; Erfani, M ; Beiki, D ; Bavi, O ; Sharif University of Technology
Springer
2019
Abstract
Alzheimer’s disease (AD) is an irreversible neurological disorder that progresses gradually and can cause severe cognitive and behavioral impairments. This disease is currently considered a social and economic incurable issue due to its complicated and multifactorial characteristics. Despite decades of extensive research, we still lack definitive AD diagnostic and effective therapeutic tools. Consequently, one of the most challenging subjects in modern medicine is the need for the development of new strategies for the treatment of AD. A large body of evidence indicates that amyloid-β (Aβ) peptide fibrillation plays a key role in the onset and progression of AD. Recent studies have reported...
Protein corona composition of gold nanoparticles/nanorods affects amyloid beta fibrillation process
, Article Nanoscale ; Volume 7, Issue 11 , Feb , 2015 , Pages 5004-5013 ; 20403364 (ISSN) ; Dinarvand, R ; Ghahremani, M. H ; Hormozi-Nezhad, M. R ; Mahmoudi, Z ; Hajipour, M. J ; Atyabi, F ; Ghavami, M ; Mahmoudi, M ; Sharif University of Technology
Royal Society of Chemistry
2015
Abstract
Protein fibrillation process (e.g., from amyloid beta (Aβ) and α-synuclein) is the main cause of several catastrophic neurodegenerative diseases such as Alzheimer's and Parkinson diseases. During the past few decades, nanoparticles (NPs) were recognized as one of the most promising tools for inhibiting the progress of the disease by controlling the fibrillation kinetic process; for instance, gold NPs have a strong capability to inhibit Aβ fibrillations. It is now well understood that a layer of biomolecules would cover the surface of NPs (so called "protein corona") upon the interaction of NPs with protein sources. Due to the fact that the biological species (e.g., cells and amyloidal...
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 ; Behzadipour, S ; Schouten, A. C ; Taghizadeh, G ; Firoozbakhsh, K ; Sharif University of Technology
BioMed Central Ltd
2020
Abstract
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....
Multi-sensory balance board for children with spd & adhd disorders
, Article Journal of Biomedical Physics and Engineering ; Volume 11, Issue 6 , 2021 , Pages 761-768 ; 22517200 (ISSN) ; Selk Ghafari , A ; Zabihol Lah, A ; Mohammadi Moghaddam, S ; Mohammadi Laal Abadi , Z ; Sharif University of Technology
Shriaz University of Medical Sciences
2021
Abstract
Nowadays, as technology grows, human life formation changes every second. These changes sometimes create harmful habits and affect our lifestyle, which unfortunately bring various diseases and disorders. ADHD (Attention Deficit Hyperactivity Disorder) & SPD (Sensory Processing Disorder) are common disorders in children. By giving children the right treatment at the younger ages, we can help them overcome their disabilities and not face any symptoms in their adulthood. The multi-sensory balance board is designed and developed to help medics diagnose the disorders in patients at early stages and monitor the treatment progress. The balance board uses multiple sensors to detect common human...
Modeling the Parkinson's tremor and its treatments
, Article Journal of Theoretical Biology ; Volume 236, Issue 3 , 2005 , Pages 311-322 ; 00225193 (ISSN) ; Sarbaz, Y ; Gharibzadeh, S ; Sharif University of Technology
2005
Abstract
In this paper, we discuss modeling issues of the Parkinson's tremor. Through the work we have employed physiological structure as well as functioning of the parts in brain that are involved in the disease. To obtain more practical similarity, random behaviors of the connection paths are also considered. Medication or treatment of the disease both by drug prescription and electrical signal stimulation are modeled based on the same model introduced for the disease itself. Two new medication strategies are proposed based on the model to reduce the side effects caused by the present drug prescription. © 2005 Elsevier Ltd. All rights reserved
Graphene-based nanoparticles as potential treatment options for parkinson’s disease: A molecular dynamics study
, Article International Journal of Nanomedicine ; Volume 15 , 2020 , Pages 6887-6903 ; Khedri, M ; Jahromi, A. M ; Maleki, R ; Rezaian, M ; Sharif University of Technology
Dove Medical Press Ltd
2020
Abstract
Introduction: The study of abnormal aggregation of proteins in different tissues of the body has recently earned great attention from researchers in various fields of science. Concerning neurological diseases, for instance, the accumulation of amyloid fibrils can contribute to Parkinson’s disease, a progressively severe neurodegenerative disorder. The most prominent features of this disease are the degeneration of neurons in the substantia nigra and accumulation of α-synuclein aggregates, especially in the brainstem, spinal cord, and cortical areas. Dopamine replacement therapies and other medications have reduced motor impairment and had positive consequences on patients’ quality of life....
Graphene-based nanomaterials in fighting the most challenging viruses and immunogenic disorders
, Article ACS Biomaterials Science and Engineering ; Volume 8, Issue 1 , 2022 , Pages 54-81 ; 23739878 (ISSN) ; Asadi, M ; Akhavan, O ; Sharif University of Technology
American Chemical Society
2022
Abstract
Viral diseases have long been among the biggest challenges for healthcare systems around the world. The recent Coronavirus Disease 2019 (COVID-19) pandemic is an example of how complicated the situation can get if we are not prepared to combat a viral outbreak in time, which brings up the need for quick and affordable biosensing platforms and vast knowledge of potential antiviral effects and drug/gene delivery opportunities. The same challenges have also existed for nonviral immunogenic disorders. Nanomedicine is considered a novel candidate for effectively overcoming these worldwide challenges. Among the versatile nanomaterials commonly used in biomedical applications, graphene has recently...
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) ; Schouten, A. C ; Behzadipour, S ; Taghizadeh, G ; Firoozbakhsh, K ; Sharif University of Technology
BioMed Central Ltd
2019
Abstract
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....
Burgeoning polymer nano blends for improved controlled drug release: A review
, Article International Journal of Nanomedicine ; Volume 15 , March , 2020 , Pages 4363-4392 ; Shahraki, B. T ; Rabiee, N ; Fatahi, Y ; Dinarvand, R ; Tavakolizadeh, M ; Ahmadi, S ; Rabiee, M ; Bagherzadeh, M ; Pourjavadi, A ; Farhadnejad, H ; Tahriri, M ; Webster, T. J ; Tayebi, L ; Sharif University of Technology
Dove Medical Press Ltd
2020
Abstract
With continual rapid developments in the biomedical field and understanding of the important mechanisms and pharmacokinetics of biological molecules, controlled drug delivery systems (CDDSs) have been at the forefront over conventional drug delivery systems. Over the past several years, scientists have placed boundless energy and time into exploiting a wide variety of excipients, particularly diverse polymers, both natural and synthetic. More recently, the development of nano polymer blends has achieved noteworthy attention due to their amazing properties, such as biocompatibility, biodegradability and more importantly, their pivotal role in controlled and sustained drug release in vitro and...
Brain-on-a-chip: Recent advances in design and techniques for microfluidic models of the brain in health and disease
, Article Biomaterials ; Volume 285 , 2022 ; 01429612 (ISSN) ; Shamloo, A ; Nasiri, R ; de Barros, N. R ; Wang, Z. Z ; Unluturk, B. D ; Libanori, A ; Ievglevskyi, O ; Diltemiz, S. E ; Sances, S ; Balasingham, I ; Seidlits, S. K ; Ashammakhi, N ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Recent advances in biomaterials, microfabrication, microfluidics, and cell biology have led to the development of organ-on-a-chip devices that can reproduce key functions of various organs. Such platforms promise to provide novel insights into various physiological events, including mechanisms of disease, and evaluate the effects of external interventions, such as drug administration. The neuroscience field is expected to benefit greatly from these innovative tools. Conventional ex vivo studies of the nervous system have been limited by the inability of cell culture to adequately mimic in vivo physiology. While animal models can be used, their relevance to human physiology is uncertain and...
Anxiety and cognitive load affect upper limb motor control in Parkinson's disease during medication phases
, Article Annals of the New York Academy of Sciences ; Volume 1494, Issue 1 , 2021 , Pages 44-58 ; 00778923 (ISSN) ; Mehdizadeh, H ; Azad, A ; Mehdizadeh, M ; Reyhanian, E ; Saberi, Z. S ; Meimandi, M ; Soltanzadeh, A ; Roohi Azizi, M ; Vasaghi Gharamaleki, B ; Parnianpour, M ; Khalaf, K ; Taghizadeh, G ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
Anxiety is among the most debilitating nonmotor symptoms of Parkinson's disease (PD). This study aimed to determine how PD patients with low and high levels of anxiety (LA-PD and HA-PD, respectively) compare with age- and sex-matched controls at the level of motor control of reach-to-grasp movements during single- and dual-task conditions with varying complexity. Reach-to-grasp movement kinematics were assessed in 20 LA-PD, 20 HA-PD, and 20 sex- and age-matched healthy controls under single- as well as easy and difficult dual-task conditions. Assessment of PD patients was performed during both the on- and off-drug phases. The results obtained during dual-task conditions reveal deficits in...
A new postural stability-indicator to predict the level of fear of falling in Parkinson's disease patients
, Article BioMedical Engineering Online ; Volume 19, Issue 1 , 2020 ; Behzadipour, S ; Ramezani, M ; Joghataei, M. T ; Shahidi, G. A ; Sharif University of Technology
BioMed Central
2020
Abstract
Background: Fear of falling (FoF) is defined as a lasting concern about falling that causes a person to limit or even stop the daily activities that he/she is capable of. Seventy percent of Parkinson's disease (PD) patients report activity limitations due to FoF. Timely identification of FoF is critical to prevent its additional adverse effects on the quality of life. Self-report questionnaires are commonly used to evaluate the FoF, which may be prone to human error. Objectives: In this study, we attempted to identify a new postural stability-indicator to objectively predict the intensity of FoF and its related behavior(s) in PD patients. Methods: Thirty-eight PD patients participated in the...