scholarly journals Clinical Significance of REM Sleep Behavior Disorders and Other Non-motor Symptoms of Parkinsonism

2017 ◽  
Vol 33 (5) ◽  
pp. 576-584 ◽  
Author(s):  
Hong Jin ◽  
Jin-Ru Zhang ◽  
Yun Shen ◽  
Chun-Feng Liu
Keyword(s):  
Clinical Significance ◽  
Rem Sleep ◽  
Behavior Disorders ◽  
Motor Symptoms ◽  
Sleep Behavior ◽  
Non Motor Symptoms

scholarly journals Application of Machine Learning Technique to Distinguish Parkinson’s Disease Dementia and Alzheimer’s Dementia: Predictive Power of Parkinson’s Disease-Related Non-Motor Symptoms and Neuropsychological Profile

2020 ◽  
Vol 10 (2) ◽  
pp. 31 ◽  
Author(s):  
Haewon Byeon
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rem Sleep ◽  
Behavior Disorders ◽  
Predictive Power ◽  
Screening Tests ◽  
Motor Symptoms ◽  
Sleep Behavior ◽  
Non Motor Symptoms

In order to develop a predictive model that can distinguish Parkinson’s disease dementia (PDD) from other dementia types, such as Alzheimer’s dementia (AD), it is necessary to evaluate and identify the predictive accuracy of the cognitive profile while considering the non-motor symptoms, such as depression and rapid eye movement (REM) sleep behavior disorders. This study compared Parkinson’s disease (PD)’s non-motor symptoms and the diagnostic predictive power of cognitive profiles that distinguish AD and PD using machine learning. This study analyzed 118 patients with AD and 110 patients with PDD, and all subjects were 60 years or older. In order to develop the PDD prediction model, the dataset was divided into training data (70%) and test data (30%). The prediction accuracy of the model was calculated by the recognition rate. The results of this study show that Parkinson-related non-motor symptoms, such as REM sleep behavior disorders, and cognitive screening tests, such as Korean version of Montreal Cognitive Assessment, were highly accurate factors for predicting PDD. It is required to develop customized screening tests that can detect PDD in the early stage based on these results. Furthermore, it is believed that including biomarkers such as brain images or cerebrospinal fluid as input variables will be more useful for developing PDD prediction models in the future.

scholarly journals Reduced striatal vesicular monoamine transporter 2 in REM sleep behavior disorder: imaging prodromal parkinsonism

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Leah C. Beauchamp ◽  
Victor L. Villemagne ◽  
David I. Finkelstein ◽  
Vincent Doré ◽  
Ashley I. Bush ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Time Window ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Vesicular Monoamine Transporter ◽  
Motor Symptoms ◽  
Monoamine Transporter ◽  
Sleep Behavior ◽  
Nigrostriatal Degeneration ◽  
Non Motor Symptoms

Abstract Motor deficits in parkinsonism are caused by degeneration of dopaminergic nigral neurons. The success of disease-modifying therapies relies on early detection of the underlying pathological process, leading to early interventions in the disease phenotype. Healthy (n = 16), REM sleep behavior disorder (RBD) (n = 14), dementia with Lewy bodies (n = 10), and Parkinson’s disease (PD) (n = 20) participants underwent 18F-AV133 vesicular monoamine transporter type-2 (VMAT2) PET to determine the integrity of the nigrostriatal pathway. Clinical, neurophysiological and neuropsychological testing was conducted to assess parkinsonian symptoms. There was reduced VMAT2 levels in RBD participants in the caudate and putamen, indicating nigrostriatal degeneration. RBD patients also presented with hyposmia and anxiety, non-motor symptoms associated with parkinsonism. 18F-AV133 VMAT2 PET allows identification of underlying nigrostriatal degeneration in RBD patients. These findings align with observations of concurrent non-motor symptoms in PD and RBD participants of the Parkinson’s Progression Markers Initiative. Together, these findings suggest that RBD subjects have prodromal parkinsonism supporting the concept of conducting neuroprotective therapeutic trials in RBD-enriched cohorts. Ongoing longitudinal follow-up of these subjects will allow us to determine the time-window of clinical progression.

scholarly journals Relations of non-motor symptoms and dopamine transporter binding in REM sleep behavior disorder

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Petr Dušek ◽  
Veronika Lorenzo y Losada Ibarburu ◽  
Ondrej Bezdicek ◽  
Irene Dall’antonia ◽  
Simona Dostálová ◽  
...  
Keyword(s):  
Dopamine Transporter ◽  
Rem Sleep ◽  
Muscle Activity ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Motor Symptoms ◽  
Sleep Behavior ◽  
Binding Ratio ◽  
Dat Spect ◽  
Non Motor Symptoms

Abstract The aim of this study was to evaluate associations of motor and non-motor symptoms with dopamine transporter binding in prodromal stage of synucleinopathies. We examined 74 patients with idiopathic REM sleep behavior disorder (RBD), which is a prodromal synucleinopathy, and 39 controls using Movement Disorders Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), Montreal Cognitive Assessment, University of Pennsylvania Smell Identification Test (UPSIT), Farnsworth-Munsell 100 hue test, orthostatic test, Scales for Outcomes in PD-Autonomic, Beck depression inventory-II, State-Trait Anxiety Inventory, and video-polysomnography. Electromyographic muscle activity during REM sleep was quantified according to Sleep Innsbruck-Barcelona criteria. In 65 patients, dopamine transporter single-photon emission computed tomography (DAT-SPECT) imaging was performed, putaminal binding ratio was calculated and scans were classified as normal, borderline, or abnormal. Compared to controls, RBD patients had significantly more severe scores in all examined tests. Patients with abnormal DAT-SPECT had higher MDS-UPDRS motor score (p = 0.006) and higher prevalence of orthostatic hypotension (p = 0.008). Putaminal binding ratio was positively associated with UPSIT score (p = 0.03) and negatively associated with tonic (p = 0.003) and phasic (p = 0.01) muscle activity during REM sleep. These associations likely reflect simultaneous advancement of underlying pathology in substantia nigra and susceptible brainstem and olfactory nuclei in prodromal synucleinopathy.

scholarly journals Parkinson’s disease and REM sleep behavior disorder result in increased non-motor symptoms

2014 ◽  
Vol 15 (8) ◽  
pp. 959-966 ◽  
Author(s):  
Ariel B. Neikrug ◽  
Julie A. Avanzino ◽  
Lianqi Liu ◽  
Jeanne E. Maglione ◽  
Loki Natarajan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rem Sleep ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Motor Symptoms ◽  
Sleep Behavior ◽  
Non Motor Symptoms

scholarly journals Nonmotor Symptoms and Cognitive Decline in de novo Parkinson’s Disease

2014 ◽  
Vol 41 (5) ◽  
pp. 597-602 ◽  
Author(s):  
Kyum-Yil Kwon ◽  
Sung Hoon Kang ◽  
Minjik Kim ◽  
Hye Mi Lee ◽  
Ji Wan Jang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rem Sleep ◽  
Behavior Disorders ◽  
Odds Ratio ◽  
Depression Scale ◽  
Nonmotor Symptoms ◽  
Sleep Behavior ◽  
Dementia Risk ◽  
State Examination

AbstractBackgroundCognitive impairments are common in Parkinson’s disease (PD). Despite its clinical importance, the development of dementia is still difficult to predict. In this study, we investigated the possible associations between non-motor symptoms and the risk of developing dementia within a 2-year observation period in PD.MethodsA total of 80 patients with PD participated in this study. Nonmotor symptoms (the Nonmotor Symptoms Questionnaire), PD status (Unified Parkinson’s Disease Rating Scale), depression (Geriatric d Depression Scale or Montgomery-Asberg Depression Scale), stereopsis and severity of nonmotor symptoms (Non-motor symptoms scale) were assessed. Global cognitive function (Mini-Mental State Examination) were evaluated at baseline and 2 years later.ResultsPresence of depression, vivid dreaming, REM sleep behavior disorders, hyposmia, abnormal stereopsis, non-smoking and postural instability/ gait disturbance phenotype were associated with a significantly more rapid decline of Mini-Mental State Examination. Logistic regression analyses demonstrated that depression (odds ratio=13.895), abnormal stereopsis (odds ratio=10.729), vivid dreaming (odds ratio=4.16), REM sleep behavior disorders (odds ratio=5.353) and hyposmia (odds ratio=4.911) were significant independent predictors of dementia risk within 2 years. Postural instability/ gait disturbance phenotype and age >62 years were also independent predictors of dementia risk (odd ratio=38.333, odds ratio=10.625).ConclusionWe suggest that depression, vivid dreaming, REM sleep behavior disorders, hyposmia and abnormal stereopsis are closely associated with cognitive decline, and that presence of these nonmotor symptoms predict the subsequent development of Parkinson’s disease dementia.

Sign in / Sign up

Export Citation Format

Share Document