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Dive into the research topics where Ron Postuma is active.

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Featured researches published by Ron Postuma.


Journal of Neurology, Neurosurgery, and Psychiatry | 2008

REM sleep behaviour disorder in Parkinson’s disease is associated with specific motor features

Ron Postuma; Jean-François Gagnon; Mélanie Vendette; Katia Charland; Jacques Montplaisir

Background: Rapid eye movement (REM) sleep behaviour disorder (RBD) is commonly associated with Parkinson’s disease (PD), and recent studies have suggested that RBD in PD is associated with increased cognitive impairment, waking EEG slowing, autonomic impairment and lower quality of life on mental health components. However, it is unclear whether the association of RBD in PD has implications for motor manifestations of the disease. Methods: The study evaluated 36 patients with PD for the presence of RBD by polysomnography. Patients underwent an extensive evaluation on and off medication by a movement disorders specialist blinded to the polysomnography results. Measures of disease severity, quantitative motor indices, motor subtypes, complications of therapy and response to therapy were assessed and compared using regression analysis that adjusted for disease duration and age. Results: Patients with PD and RBD were less likely to be tremor predominant (14% vs 53%; p<0.02) and had a lower proportion of their Unified Parkinson Disease Rating Scale (UPDRS) score accounted for by tremor (8.2% vs 19.0%; p<0.01). An increased frequency of falls was noted among patients with RBD (38% vs 7%; p = 0.04). Patients with RBD demonstrated a lower amplitude response to their medication (UPDRS improvement 16.2% vs 34.8%; p = 0.049). Markers of overall disease severity, quantitative motor testing and motor complications did not differ between groups. Conclusions: The presence of altered motor subtypes in PD with RBD suggests that patients with PD and RBD may have a different underlying pattern of neurodegeneration than PD patients without RBD.


Neurology | 2014

Abnormal metabolic network activity in REM sleep behavior disorder.

Florian Holtbernd; Jean-François Gagnon; Ron Postuma; Yilong Ma; Chris C. Tang; Andrew Feigin; Vijay Dhawan; Mélanie Vendette; Jean-Paul Soucy; David Eidelberg; Jacques Montplaisir

Objective: To determine whether the Parkinson disease–related covariance pattern (PDRP) expression is abnormally increased in idiopathic REM sleep behavior disorder (RBD) and whether increased baseline activity is associated with greater individual risk of subsequent phenoconversion. Methods: For this cohort study, we recruited 2 groups of RBD and control subjects. Cohort 1 comprised 10 subjects with RBD (63.5 ± 9.4 years old) and 10 healthy volunteers (62.7 ± 8.6 years old) who underwent resting-state metabolic brain imaging with 18F-fluorodeoxyglucose PET. Cohort 2 comprised 17 subjects with RBD (68.9 ± 4.8 years old) and 17 healthy volunteers (66.6 ± 6.0 years old) who underwent resting brain perfusion imaging with ethylcysteinate dimer SPECT. The latter group was followed clinically for 4.6 ± 2.5 years by investigators blinded to the imaging results. PDRP expression was measured in both RBD groups and compared with corresponding control values. Results: PDRP expression was elevated in both groups of subjects with RBD (cohort 1: p < 0.04; cohort 2: p < 0.005). Of the 17 subjects with long-term follow-up, 8 were diagnosed with Parkinson disease or dementia with Lewy bodies; the others did not phenoconvert. For individual subjects with RBD, final phenoconversion status was predicted using a logistical regression model based on PDRP expression and subject age at the time of imaging (r2 = 0.64, p < 0.0001). Conclusions: Latent network abnormalities in subjects with idiopathic RBD are associated with a greater likelihood of subsequent phenoconversion to a progressive neurodegenerative syndrome.


Movement Disorders | 2015

Correlates of excessive daytime sleepiness in de novo Parkinson's disease: A case control study.

Tanya Simuni; Chelsea Caspell-Garcia; Christopher S. Coffey; Lama M. Chahine; Shirley Lasch; Wolfgang H. Oertel; Geert Mayer; Birgit Högl; Ron Postuma; Aleksandar Videnovic; Amy W. Amara; Ken Marek

This study was undertaken to determine the frequency and correlates of excessive daytime sleepiness in de novo, untreated Parkinsons disease (PD) patients compared with the matched healthy controls.


Movement Disorders | 2012

Suggested Immobilization Test for Diagnosis of Restless Legs Syndrome in Parkinson's Disease

Valérie Cochen De Cock; Sophie Bayard; Huan Yu; Magda Grini; Bertrand Carlander; Ron Postuma; Mahmoud Charif; Yves Dauvilliers

Diagnosis of restless leg syndrome (RLS) in Parkinsons disease (PD) is difficult because of clinical confounds. The suggested immobilization test (SIT) is validated for diagnosis of primary RLS. This study evaluated the usefulness of the SIT for diagnosis of RLS in PD. We compared SIT scores, as well as polysomnography measures in 50 patients with PD (25 with RLS, 25 without), 25 patients with primary RLS, and 25 age/sex matched controls. Mean leg discomfort score was increased in patients with PD and RLS compared to PD without RLS, and also in patients with primary RLS compared to controls. Leg discomfort was significantly higher at the end of the test in patients with RLS compared to patients without RLS. Intensity of leg discomfort was similar between patients with RLS, with or without PD. Using a mean leg discomfort cutoff of 11, we showed sensitivity of 91% and specificity of 72% for RLS diagnosis in PD during symptomatic time intervals. Periodic leg movements index during the SIT did not differ between groups. Periodic leg movements index during sleep and wakefulness was increased in patients with primary RLS compared to controls, but did not differ between patients with PD, with and without RLS. The sensory SIT is a simple test that may help diagnose RLS in patients with PD.


Sleep Medicine | 2013

Morbidities in rapid eye movement sleep behavior disorder

Poul Jennum; Geert Mayer; Yo-El Ju; Ron Postuma

Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD, RBD without any obvious comorbid major neurological disease), is strongly associated with numerous comorbid conditions. The most prominent is that with neurodegenerative disorders, especially synuclein-mediated disorders, above all Parkinson disease (PD). Idiopathic RBD is an important risk factor for the development of synucleinopathies. Comorbidity studies suggest that iRBD is associated with a number of other potential pre-motor manifestations of synucleinopathies such as, cognitive and olfactory impairment, reduced autonomic function, neuropsychiatric manifestations and sleep complaints. Furthermore, patients with PD and RBD may have worse prognosis in terms of impaired cognitive function and overall morbidity/mortality; in dementia, the presence of RBD is strongly associated with clinical hallmarks and pathological findings of dementia with Lewy bodies. These findings underline the progressive disease process, suggesting involvement of more brain regions in patients with a more advanced disease stage. RBD is also associated with narcolepsy, and it is likely that RBD associated with narcolepsy is a distinct subtype associated with different comorbidities. RBD is also associated with antidepressant medications, autoimmune conditions, and, in rare cases, brainstem lesions.


Journal of Neurology, Neurosurgery, and Psychiatry | 2017

Longitudinal assessment of excessive daytime sleepiness in early Parkinson’s disease

Amy W. Amara; Lama M. Chahine; Chelsea Caspell-Garcia; Jeffrey D. Long; Christopher S. Coffey; Birgit Högl; Aleksandar Videnovic; Alex Iranzo; Geert Mayer; Nancy Foldvary-Schaefer; Ron Postuma; Wolfgang H. Oertel; Shirley Lasch; Ken Marek; Tanya Simuni

Background Excessive daytime sleepiness (EDS) is common and disabling in Parkinson’s disease (PD). Predictors of EDS are unclear, and data on biological correlates of EDS in PD are limited. We investigated clinical, imaging and biological variables associated with longitudinal changes in sleepiness in early PD. Methods The Parkinson’s Progression Markers Initiative is a prospective cohort study evaluating progression markers in participants with PD who are unmedicated at baseline (n=423) and healthy controls (HC; n=196). EDS was measured with the Epworth Sleepiness Scale (ESS). Clinical, biological and imaging variables were assessed for associations with EDS for up to 3 years. A machine learning approach (random survival forests) was used to investigate baseline predictors of incident EDS. Results ESS increased in PD from baseline to year 3 (mean±SD 5.8±3.5 to 7.55±4.6, p<0.0001), with no change in HC. Longitudinally, EDS in PD was associated with non-tremor dominant phenotype, autonomic dysfunction, depression, anxiety and probable behaviour disorder, but not cognitive dysfunction or motor severity. Dopaminergic therapy was associated with EDS at years 2 and 3, as dose increased. EDS was also associated with presynaptic dopaminergic dysfunction, whereas biofluid markers at year 1 showed no significant associations with EDS. A predictive index for EDS was generated, which included seven baseline characteristics, including non-motor symptoms and cerebrospinal fluid phosphorylated-tau/total-tau ratio. Conclusions In early PD, EDS increases significantly over time and is associated with several clinical variables. The influence of dopaminergic therapy on EDS is dose dependent. Further longitudinal analyses will better characterise associations with imaging and biomarkers.


European Journal of Neurology | 2018

The high burden of neurological disease in the older general population: Results from the Canadian Longitudinal Study on Aging

Christina Wolfson; Seyed-Mohammad Fereshtehnejad; Romain Pasquet; Ron Postuma; Mark R. Keezer

Our objective was to study the association between the presence of a neurological disease and the comorbidity burden as well as healthcare utilization (HCU).


MobiHealth | 2017

Large-Scale Continuous Mobility Monitoring of Parkinson’s Disease Patients Using Smartphones

Wei-Yi Cheng; Florian Lipsmeier; Andrew Creigh; Alf Scotland; Timothy Kilchenmann; Liping Jin; Jens Schjodt-Eriksen; Detlef Wolf; Yan-Ping Zhang Schärer; Ignacio Fernandez Garcia; Juliane Siebourg-Polster; Jay Soto; Lynne Verselis; Meret Martin-Facklam; Frank Boess; Martin Koller; Michael Grundman; Andreas U. Monsch; Ron Postuma; Anirvan Ghosh; Thomas Kremer; Kirsten I. Taylor; Christian Czech; Christian Gossens; Michael Lindemann

Smartphone-based assessments have been considered a potential solution for continuously monitoring gait and mobility in mild to moderate Parkinson’s disease (PD) patients. Forty-four PD patients from cohorts 4 to 6 of the Multiple Ascending Dose (MAD) study of PRX002/RG7935 and thirty-five age- and gender-matched healthy individuals (i.e. healthy controls - HC) in a separate study performed smartphone-based assessments for up to 24 weeks and up to 6 weeks, respectively. The assessments included “active gait tests”, where all participants were asked to walk for 30 s with at least one 180\(^\circ \) turn, and “passive monitoring”, in which subjects carried the smartphone in a pocket or fanny pack as part of their daily routine. In total, over 6,600 active gait tests and over 30,000 h of passive monitoring data were collected. A mobility analysis indicates that patients with PD are less mobile than HCs, as manifested in time spent in gait-related activities, number of turns and sit-to-stand transitions, and power per step. It supports the potential use of smartphones for continuous mobility monitoring in future clinical practice and drug development.


Movement Disorders | 2015

Correlates of excessive daytime sleepiness in de novo Parkinson's disease: A case control study: Early Parkinson's Disease and Daytime Somnolence

Tanya Simuni; Chelsea Caspell-Garcia; Christopher S. Coffey; Lama M. Chahine; Shirley Lasch; Wolfgang H. Oertel; Geert Mayer; Birgit Högl; Ron Postuma; Aleksandar Videnovic; Amy W. Amara; Ken Marek

This study was undertaken to determine the frequency and correlates of excessive daytime sleepiness in de novo, untreated Parkinsons disease (PD) patients compared with the matched healthy controls.


cooperative and human aspects of software engineering | 2017

Human activity recognition from sensor-based large-scale continuous monitoring of Parkinson's disease patients

Wei-Yi Cheng; Alf Scotland; Florian Lipsmeier; Timothy Kilchenmann; Liping Jin; Jens Schjodt-Eriksen; Detlef Wolf; Yan-Ping Zhang-Schaerer; Ignacio Fernandez Garcia; Juliane Siebourg-Polster; Jay Soto; Lynne Verselis; Meret Martin-Facklam; Frank Boess; Martin Koller; Michael Grundman; Andreas U. Monsch; Ron Postuma; Anirvan Ghosh; Thomas Kremer; Kirsten I. Taylor; Christian Czech; Christian Gossens; Michael Lindemann

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Amy W. Amara

University of Alabama at Birmingham

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