Predictors of Functional Improvements After Therapeutic Yoga Intervention for People with Parkinson’s Disease

2019 ◽  
Vol 30 (1) ◽  
pp. 9-18
Author(s):  
Em V. Adams ◽  
Marieke Van Puymbroeck ◽  
Alysha Walter ◽  
Brent L. Hawkins ◽  
Arlene A. Schmid ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Predictive Factors ◽  
Secondary Data ◽  
Management Training ◽  
Functional Improvement ◽  
Gait Velocity ◽  
Future Research ◽  
Yoga Therapy ◽  
Yoga Intervention

Abstract Parkinson’s disease (PD) affects nearly 10 million people worldwide, leading to decreased mobility and balance and potential loss of independence. Yoga has been associated with improved function for people with PD, but the predictive factors for improved functional outcomes as a result of yoga participation remain unexamined. The objective of this secondary data analysis was to identify predictive factors of functional improvement for people with PD after an 8-week yoga intervention. Stepwise multiple linear regression was used to identify significant predictors of improvement in balance, fall control, PD symptoms, and activity constraints. Lower cognitive functioning was predictive of improvement in perceived control over falls, body responsiveness was predictive of improvement in PD-specific symptoms, and gait velocity was predictive of improvement in balance and activity constraints. Future research is warranted to evaluate the use of screeners to predict who is the best fit for yoga therapy. Additional research is needed to evaluate the need to include cognitive self-management training concurrent with yoga therapy.

Perceived benefits for informal caregivers after an 8-week yoga intervention for people with Parkinson’s disease

2018 ◽  
Vol 16 (4) ◽  
pp. 23
Author(s):  
Alysha A. Walter, MS, CTRS ◽  
Marieke Van Puymbroeck, PhD, CTRS, FDRT ◽  
Brent L. Hawkins, PhD, LRT/CTRS ◽  
Kathleen Woschkolup, MD ◽  
Enrique Urrea-Mendoza, MD ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Well Being ◽  
Future Research ◽  
Small Data ◽  
Yoga Intervention ◽  
Unpaid Care ◽  
Post Test ◽  
Positive Aspects Of Caregiving

An informal caregiver (ICG) is a family member and/or friend who provides unpaid care to an individual with a disability or chronic disease. ICGs often put their healthcare second while caring for their loved ones; and this may lead to negative impacts on their well-being. ICGs attended an 8-week therapeutic yoga intervention for their care recipients with Parkinson’s disease. ICGs who participated in the yoga classes were assessed utilizing a retrospective pretest and traditional post-test to determine the presence of depressive symptoms and positive aspects of caregiving. Although the sample size was small, data revealed improvements in depressive symptoms and positive aspects of caregiving. Focus group and individual interview data revealed five qualitative categories: yoga engagement, relationship improvement, psychological improvements, functional improvements, and community engagement. Future research should expand participation of ICGs in yoga trials to determine the extent of changes in psychosocial well-being.

Functional improvement related to enrolment in a Parkinson’s disease rehabilitation program

2020 ◽  
Vol 47 (4) ◽  
pp. 405-414
Author(s):  
Beverley Chow ◽  
Florin Feloiu ◽  
Assunta Berardocco ◽  
David Ceglie ◽  
Shanker Nesathurai
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurodegenerative Disorder ◽  
Motor Impairment ◽  
Functional Independence ◽  
Rehabilitation Program ◽  
Functional Improvement ◽  
Gait Velocity ◽  
Timed Up And Go ◽  
Multidisciplinary Program

BACKGROUND: Parkinson’s disease (PD) is a progressive neurodegenerative disorder with manifestations such as tremors, rigidity and bradykinesia. OBJECTIVE: The objective of this study was to evaluate the efficacy of outpatient multidisciplinary rehabilitation. METHODS: 179 patients participated in the six-week program. The following outcomes were measured: Timed Up and Go (TUG), sit to stand five times (STSx5) and in 30 seconds (STS30), six minute walk distance (6MWD) and gait velocity (6MWV), MOCA, bilateral grip strength, 360-degree turn (360 R, 360 L) and bilateral nine hole peg test. Pre- and post- data was analyzed via paired t-tests. Multiple regression was used to determine age- or gender-affected outcomes. RESULTS: Patients showed a statistically significant improvement (p < 0.05) in all outcomes. Mean TUG improved by 1.63 seconds (s), STSx5 by 4.19s, STS30 by 2.37 repetitions, 6MWD by 66.8 metres, 6MWV by 0.15 m/s, MOCA by 1.50 points, 360 R by 1.17s, 360 L by 1.60s, Grip R by 0.78 kg, Grip L by 0.95 kg, 9HP R by 1.71s and 9HP L by 1.58s. Gender had no influence. Age was a statistically significant predictor in STSx5 and 6MW. CONCLUSIONS: An outpatient multidisciplinary program successfully decreased motor impairment and increased overall functional independence in PD.

scholarly journals Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Manan Binth Taj Noor ◽  
Nusrat Zerin Zenia ◽  
M Shamim Kaiser ◽  
Shamim Al Mamun ◽  
Mufti Mahmud
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Neurological Disorders ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Comparative Performance

Abstract Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have opened up possibilities to unprecedentedly identify neurological disorders. However, similarities in disease phenotypes make it very difficult to detect such disorders accurately from the acquired neuroimaging data. This article critically examines and compares performances of the existing deep learning (DL)-based methods to detect neurological disorders—focusing on Alzheimer’s disease, Parkinson’s disease and schizophrenia—from MRI data acquired using different modalities including functional and structural MRI. The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders. Towards the end, a number of current research challenges are indicated and some possible future research directions are provided.

scholarly journals The Contribution of Microglia to Neuroinflammation in Parkinson’s Disease

2021 ◽  
Vol 22 (9) ◽  
pp. 4676
Author(s):  
Katja Badanjak ◽  
Sonja Fixemer ◽  
Semra Smajić ◽  
Alexander Skupin ◽  
Anne Grünewald
Keyword(s):  
Oxidative Stress ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Inflammatory Cytokine ◽  
Population Ageing ◽  
Future Research ◽  
Cytokine Release ◽  
Vicious Cycle ◽  
Inflammatory Processes ◽  
Great Evidence

With the world’s population ageing, the incidence of Parkinson’s disease (PD) is on the rise. In recent years, inflammatory processes have emerged as prominent contributors to the pathology of PD. There is great evidence that microglia have a significant neuroprotective role, and that impaired and over activated microglial phenotypes are present in brains of PD patients. Thereby, PD progression is potentially driven by a vicious cycle between dying neurons and microglia through the instigation of oxidative stress, mitophagy and autophagy dysfunctions, a-synuclein accumulation, and pro-inflammatory cytokine release. Hence, investigating the involvement of microglia is of great importance for future research and treatment of PD. The purpose of this review is to highlight recent findings concerning the microglia-neuronal interplay in PD with a focus on human postmortem immunohistochemistry and single-cell studies, their relation to animal and iPSC-derived models, newly emerging technologies, and the resulting potential of new anti-inflammatory therapies for PD.

scholarly journals Gait and Balance Changes with Investigational Peripheral Nerve Cell Therapy during Deep Brain Stimulation in People with Parkinson’s Disease

2021 ◽  
Vol 11 (4) ◽  
pp. 500
Author(s):  
Geetanjali Gera ◽  
Zain Guduru ◽  
Tritia Yamasaki ◽  
Julie A. Gurwell ◽  
Monica J. Chau ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Peripheral Nerve ◽  
Brain Stimulation ◽  
Step Length ◽  
Gait Velocity ◽  
Balance Performance ◽  
Improved Performance ◽  
Deep Brain

Background: The efficacy of deep brain stimulation (DBS) and dopaminergic therapy is known to decrease over time. Hence, a new investigational approach combines implanting autologous injury-activated peripheral nerve grafts (APNG) at the time of bilateral DBS surgery to the globus pallidus interna. Objectives: In a study where APNG was unilaterally implanted into the substantia nigra, we explored the effects on clinical gait and balance assessments over two years in 14 individuals with Parkinson’s disease. Methods: Computerized gait and balance evaluations were performed without medication, and stimulation was in the off state for at least 12 h to best assess the role of APNG implantation alone. We hypothesized that APNG might improve gait and balance deficits associated with PD. Results: While people with a degenerative movement disorder typically worsen with time, none of the gait parameters significantly changed across visits in this 24 month study. The postural stability item in the UPDRS did not worsen from baseline to the 24-month follow-up. However, we measured gait and balance improvements in the two most affected individuals, who had moderate PD. In these two individuals, we observed an increase in gait velocity and step length that persisted over 6 and 24 months. Conclusions: Participants did not show worsening of gait and balance performance in the off therapy state two years after surgery, while the two most severely affected participants showed improved performance. Further studies may better address the long-term maintanenace of these results.

Gait velocity and step length at baseline predict outcome of Nordic walking training in patients with Parkinson's disease

2015 ◽  
Vol 21 (4) ◽  
pp. 413-416 ◽  
Author(s):  
Manon Herfurth ◽  
Jana Godau ◽  
Barbara Kattner ◽  
Silvia Rombach ◽  
Stefan Grau ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Step Length ◽  
Gait Velocity ◽  
Nordic Walking

scholarly journals Grafting of Encapsulated Dopamine-Secreting Cells in Parkinson's Disease: Long-Term Primate Study

2000 ◽  
Vol 9 (5) ◽  
pp. 705-709 ◽  
Author(s):  
Isao Date ◽  
Tetsuro Shingo ◽  
Hideyuki Yoshida ◽  
Kenjiro Fujiwara ◽  
Kazuki Kobayashi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Pc12 Cells ◽  
Tumor Formation ◽  
Functional Improvement ◽  
Functional Changes ◽  
Polymer Encapsulation ◽  
Encapsulated Cells ◽  
Fluid Analysis

The transplantation of encapsulated dopamine-secreting cells into the striatum represents one potential means of treating Parkinson's disease. The present study investigated the ability of encapsulated PC12 cells, which are derived from rat pheochromocytoma, to supply L-dopa and dopamine into the primate brain in the long term and to effect functional improvement in the animals. Following polymer encapsulation, PC12 cells were transplanted into the striatum of hemiparkinsonian monkeys. The secretion of L-dopa and dopamine from the encapsulated cells, the morphology of these cells, the histology of the host striatum surrounding the capsule, and functional changes in the host animals were examined 1, 6, and 12 months after transplantation. Analysis of retrieved capsules revealed that the PC12 cells survived and continued to release L-dopa and dopamine even 12 months after transplantation. The histological response of the host brain surrounding the capsules was minimal and there were no signs of immunological rejection or tumor formation. The physical condition of the host animals was good for 12 months, and hematologic and cerebrospinal fluid analysis revealed that no animals suffered from infection or immunological reaction. These PC12 cell-grafted monkeys showed improvements in hand movements after transplantation, effects that lasted for at least 12 months. These results further support the potential use of this approach for the treatment of Parkinson's disease.

scholarly journals Resveratrol in Rodent Models of Parkinson’s Disease: A Systematic Review of Experimental Studies

2021 ◽  
Vol 12 ◽  
Author(s):  
Cheng-Fu Su ◽  
Li Jiang ◽  
Xiao-Wen Zhang ◽  
Ashok Iyaswamy ◽  
Min Li
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Animal Models ◽  
Motor Function ◽  
Quantitative Methods ◽  
Experimental Studies ◽  
Future Research ◽  
Rodent Models ◽  
Neuroprotective Effects ◽  
Systematic Analysis

Parkinson’s disease (PD) is a common neurodegenerative disease featured by progressive degeneration of nigrostriatal dopaminergic neurons (DA) accompanied with motor function impairment. Accumulating evidence has demonstrated that natural compounds from herbs have potent anti-PD efficacy in PD models. Among those compounds, resveratrol, a polyphenol found in many common plants and fruits, is more effective against PD. Resveratrol has displayed a potent neuroprotective efficacy in several PD animal models. However, there is still no systematic analysis of the quality of methodological design of these studies, nor of their results. In this review, we retrieved and analyzed 18 studies describing the therapeutic effect of resveratrol on PD animal models. There are 5 main kinds of PD rodent models involved in the 18 articles, including chemical-induced (MPTP, rotenone, 6-OHDA, paraquat, and maneb) and transgenic PD models. The neuroprotective mechanisms of resveratrol were mainly concentrated on the antioxidation, anti-inflammation, ameliorating mitochondrial dysfunction, and motor function. We discussed the disadvantages of different PD animal models, and we used meta-analysis approach to evaluate the results of the selected studies and used SYRCLE’s risk of bias tool to evaluate the methodological quality. Our analytical approach minimized the bias of different studies. We have also summarized the pharmacological mechanisms of resveratrol on PD models as reported by the researchers. The results of this study support the notion that resveratrol has significant neuroprotective effects on different PD models quantified using qualitative and quantitative methods. The collective information in our review can guide researchers to further plan their future experiments without any hassle regarding preclinical and clinical studies. In addition, this collective assessment of animal studies can provide a qualitative analysis of different PD animal models, either to guide further testing of these models or to avoid unnecessary duplication in their future research.

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