Neuropsychiatric symptoms in Parkinson’s disease dementia

2015 ◽  
pp. 47-68
Author(s):  
Eugenia Mamikonyan ◽  
Daniel Weintraub
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neuropsychiatric Symptoms ◽  
Parkinson’S Disease Dementia

scholarly journals The perception of apathy by caregivers of patients with dementia in Parkinson's disease

2016 ◽  
Vol 10 (4) ◽  
pp. 339-343 ◽  
Author(s):  
Carlos Henrique Ferreira Camargo ◽  
Rafael Arthur Serpa ◽  
Thiago Matnei ◽  
Jivago Szpoganicz Sabatini ◽  
Hélio Afonso Ghizoni Teive
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Neuropsychiatric Symptoms ◽  
Parkinson’S Disease Dementia ◽  
Disease Rating

ABSTRACT Background: Apathy is one of the main neuropsychiatric symptoms in patients with Parkinson's disease (PD) and is associated with Parkinson's disease dementia (PDD). Objective: To identify the characteristics of apathy in individuals with PDD according to caregiver perception. Methods: Thirty-nine patients with PD according to MDS criteria for PDD were included. The following scales were used: the Hoehn and Yahr, the Unified Parkinson's Disease Rating Scale III, Scales for Outcomes in Parkinson's Disease-Cognition (SCOPA Cog), the Montgomery-Åsberg Depression Rating Scale (MADRS) and the Apathy Evaluation Scale (AES). Results: A total of 97.4% of the patients showed results consistent with apathy. Analysis of question 14 of the AES revealed no correlation with the total result of all the questions [r=-1293, r²=0.0167, 95%CI (-0.4274 to 0.1940), P=0.2162], however, there was a correlation of responses to the same question with depression data on the MADRS scale [r=-0.5213, r²=0.2718, 95%CI (-0.7186 to -0.2464), P=0.00033]. Conclusion: Apathy is a disorder associated with PDD. However, the scoring scheme of the AES questions can lead to different interpretations of caregiver responses, highlighting limitations of the tool for use in studies of PDD.

scholarly journals The Impact of Amyloid-Beta Positivity with 18F-Florbetaben PET on Neuropsychological Aspects in Parkinson’s Disease Dementia

Metabolites ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 380
Author(s):  
Seunghee Na ◽  
Hyeonseok Jeong ◽  
Jong-Sik Park ◽  
Yong-An Chung ◽  
In-Uk Song
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Amyloid Beta ◽  
Neuropsychiatric Symptoms ◽  
Amyloid Pet ◽  
Motor Symptoms ◽  
Parkinson’S Disease Dementia ◽  
The Impact

The neuropathology of Parkinson’s disease dementia (PDD) is heterogenous, and the impacts of each pathophysiology and their synergistic effects are not fully understood. The aim of this study was to evaluate the frequency and impacts of co-existence with Alzheimer’s disease in patients with PDD by using 18F-florbetaben PET imaging. A total of 23 patients with PDD participated in the study. All participants underwent 18F-florbetaben PET and completed a standardized neuropsychological battery and assessment of motor symptoms. The results of cognitive tests, neuropsychiatric symptoms, and motor symptoms were analyzed between the positive and negative 18F-florbetaben PET groups. Four patients (17.4%) showed significant amyloid burden. Patients with amyloid-beta showed poorer performance in executive function and more severe neuropsychiatric symptoms than those without amyloid-beta. Motor symptoms assessed by UPDRS part III and the modified H&Y Scale were not different between the two groups. The amyloid PET scan of a patient with PDD can effectively reflect a co-existing Alzheimer’s disease pathology. Amyloid PET scans might be able to help physicians of PDD patients showing rapid progression or severe cognitive/behavioral features.

Neuropsychiatric symptoms and α-Synuclein profile of patients with Parkinson’s disease dementia, dementia with Lewy bodies and Alzheimer’s disease

2018 ◽  
Vol 265 (10) ◽  
pp. 2295-2301 ◽  
Author(s):  
Anastasia Bougea ◽  
Leonidas Stefanis ◽  
George P. Paraskevas ◽  
Evangelia Emmanouilidou ◽  
Efthimia Efthymiopoulou ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Dementia With Lewy Bodies ◽  
Neuropsychiatric Symptoms ◽  
Lewy Bodies ◽  
Parkinson’S Disease Dementia

Parkinson's Disease Dementia and Lewy Body Disease

2019 ◽  
Vol 39 (02) ◽  
pp. 274-282 ◽  
Author(s):  
Mine Sezgin ◽  
Basar Bilgic ◽  
Sule Tinaz ◽  
Murat Emre
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Lewy Body ◽  
Functional Neuroimaging ◽  
Neuropsychiatric Symptoms ◽  
Lewy Bodies ◽  
Lewy Body Disease ◽  
Behavioral Symptoms ◽  
Cognitive Symptoms ◽  
Parkinson’S Disease Dementia

AbstractDementia with Lewy bodies (DLB) and Parkinson's disease dementia (PD-D) are Lewy body-related neurodegenerative disorders sharing common clinical and neuropathological findings. The clinical features of both conditions include cognitive impairment, behavioral symptoms, autonomic dysfunction, sleep disorders, and parkinsonism. The cognitive profile of both disorders is characterized by particularly severe deficits in executive and visuospatial functions as well as attention. Clinical differentiation between DLB and PD-D is based on an arbitrary distinction between the time of onset of parkinsonism and cognitive symptoms; extrapyramidal symptoms precede dementia in PD-D, whereas it coincides with or follows dementia within 1 year in DLB. When the clinical picture is fully developed, DLB and PD-D are practically indistinguishable. Although the diagnosis is basically clinical, structural and functional neuroimaging as well as cerebrospinal fluid biomarkers may help the clinician in the diagnosis. Placebo-controlled randomized trials of the cholinesterase inhibitors have shown modest but significant benefits in cognition, global function, and neuropsychiatric symptoms in both disorders. Behavioral symptoms such as hallucinations and delusions should be treated with caution with antipsychotics, as they have the potential to worsen motor and cognitive symptoms.

scholarly journals Predicting the Severity of Parkinson’s Disease Dementia by Assessing the Neuropsychiatric Symptoms with an SVM Regression Model

2021 ◽  
Vol 18 (5) ◽  
pp. 2551
Author(s):  
Haewon Byeon
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convergence Rate ◽  
Mean Squared Error ◽  
Neuropsychiatric Symptoms ◽  
Neuropsychological Test ◽  
Kernel Functions ◽  
Support Vector ◽  
Parkinson’S Disease Dementia ◽  
Sleep Behavior

In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develop a model to predict the severity of PDD. We analyzed 328 individuals with PDD who were 60 years or older. To identify the SVR with the best prediction power, we compared the classification performance (convergence rate) of eight SVR models (Eps-SVR and Nu-SVR with four kernel functions (a radial basis function (RBF), linear algorithm, polynomial algorithm, and sigmoid)). Among the eight models, the MSE of Nu-SVR-RBF was the lowest (0.078), with the highest convergence rate, whereas the MSE of Eps-SVR-sigmoid was 0.110, with the lowest convergence rate. The results of this study imply that this approach could be useful for measuring the severity of dementia by comprehensively examining axial atypical features, the Korean instrumental activities of daily living (K-IADL), changes in rapid eye movement sleep behavior disorder (RBD), etc. for optimal intervention and caring of the elderly living alone or patients with PDD residing in medically vulnerable areas.

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