PARKINSON'S DISEASE: THE SELECTION OF PATIENTS FOR STEREOTAXIC THALAMIC SURGERY

1967 ◽  
Vol 1 (20) ◽  
pp. 1008-1010
Author(s):  
Ray R. Strang
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Selection Of Patients ◽  
Selection Of

scholarly journals Dementia with Parkinson's disease: Clinical diagnosis, neuropsychological aspects and treatment

2008 ◽  
Vol 2 (4) ◽  
pp. 261-266
Author(s):  
Jorge Lorenzo Otero
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Lewy Body ◽  
Task Force ◽  
Lewy Body Dementia ◽  
Data Bases ◽  
Main Text ◽  
Clinical Diagnoses ◽  
Movement Disorder Society ◽  
Selection Of

Abstract Dementia with Parkinson's disease represents a controversial issue in the complex group of alpha-synucleinopathies. The author acknowledges the concept of a "continuum" between Parkinson disease's (PD), Lewy body dementia (LBD), and dementia in Parkinson's disease (PDD). However, the practicing neurologist needs to identify the phenotypic signs of each dementia. The treatment and prognosis are different in spite of the overlaps between them. The main aim of this review was to characterize the clinical diagnoses of dementia associated with Parkinson's disease (PDD). Secondarily, the review discussed some epidemiological and neuropsychological issues. Selection of articles was not systematic and reflects the author's opinion, where the main text selected was the recommendations from the Movement Disorder Society Task Force for PDD diagnosis. The Pub Med, OVID, and Proquest data bases were used for the search.

scholarly journals Standardised Neuropsychological Assessment for the Selection of Patients Undergoing DBS for Parkinson’s Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jennifer A. Foley ◽  
Tom Foltynie ◽  
Patricia Limousin ◽  
Lisa Cipolotti
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Mood Disorder ◽  
Neuropsychological Assessment ◽  
Careful Consideration ◽  
Baseline Risk ◽  
General Decline ◽  
Before And After ◽  
Selection Of

DBS is an increasingly offered advanced treatment for Parkinson’s disease (PD). Neuropsychological assessment is considered to be an important part of the screening for selection of candidates for this treatment. However, no standardised screening procedure currently exists. In this study, we examined the use of our standardised neuropsychological assessment for the evaluation of surgical candidates and to identify risk factors for subsequent decline in cognition and mood. A total of 40 patients were assessed before and after DBS. Evaluation of mood and case notes review was also undertaken. Before DBS, patients with PD demonstrated frequent impairments in intellectual functioning, memory, attention, and executive function, as well as high rates of mood disorder. Post-DBS, there was a general decline in verbal fluency only, and in one patient, we documented an immediate and irreversible global cognitive decline, which was associated with older age and more encompassing cognitive deficits at baseline. Case note review revealed that a high proportion of patients developed mood disorder, which was associated with higher levels of depression at baseline and greater reduction in levodopa medication. We conclude that our neuropsychological assessment is suitable for the screening of candidates and can identify baseline risk factors, which requires careful consideration before and after surgery.

GAIT ANALYSIS AND CLASSIFICATION ON SUBJECTS WITH PARKINSON’S DISEASE

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Chia Min Lim ◽  
Hu Ng ◽  
Timothy Tzen Vun Yap ◽  
Chiung Ching Ho
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Average Absolute Deviation ◽  
Absolute Deviation ◽  
Data Set ◽  
Normal People ◽  
Proposed Model ◽  
Gait Features ◽  
Rbf Kernel ◽  
Selection Of

The objective of this paper is to analyse the gait of subjects with suffering Parkinson's Disease (PD), plus to differentiate their gait from those of normal people. The data is obtained from a medical gait database known as Gaitpdb [1]. In the data set, there are 73 control subjects and 93 subjects with PD. In our study, we first obtained the gait features using statistical analysis, which include minimum, maximum, median, kurtosis, mean, skewness, standard deviation and average absolute deviation of the gait signal. Next, selection of the extracted features is performed using PSO search, Tabu search and Ranker. Finally the selected features will undergo classification using BFT, BPANN, k-NN, SVM with Ln kernel, SVM with Poly kernel and SVM with Rbf kernel. From the experimental results, the proposed model achieved average of 66.43%, 89.97%, 87.00%, 88.47%, 86.80% and 87.53% correct classification rates respectively.

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