18 research outputs found
Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study
Idiopathic REM sleep behaviour disorder (iRBD) is a powerful early sign of Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. This provides an unprecedented opportunity to directly observe prodromal neurodegenerative states, and potentially intervene with neuroprotective therapy. For future neuroprotective trials, it is essential to accurately estimate phenoconversion rate and identify potential predictors of phenoconversion. This study assessed the neurodegenerative disease risk and predictors of neurodegeneration in a large multicentre cohort of iRBD. We combined prospective follow-up data from 24 centres of the International RBD Study Group. At baseline, patients with polysomnographically-confirmed iRBD without parkinsonism or dementia underwent sleep, motor, cognitive, autonomic and special sensory testing. Patients were then prospectively followed, during which risk of dementia and parkinsonsim were assessed. The risk of dementia and parkinsonism was estimated with Kaplan-Meier analysis. Predictors of phenoconversion were assessed with Cox proportional hazards analysis, adjusting for age, sex, and centre. Sample size estimates for disease-modifying trials were calculated using a time-to-event analysis. Overall, 1280 patients were recruited. The average age was 66.3 \ub1 8.4 and 82.5% were male. Average follow-up was 4.6 years (range = 1-19 years). The overall conversion rate from iRBD to an overt neurodegenerative syndrome was 6.3% per year, with 73.5% converting after 12-year follow-up. The rate of phenoconversion was significantly increased with abnormal quantitative motor testing [hazard ratio (HR) = 3.16], objective motor examination (HR = 3.03), olfactory deficit (HR = 2.62), mild cognitive impairment (HR = 1.91-2.37), erectile dysfunction (HR = 2.13), motor symptoms (HR = 2.11), an abnormal DAT scan (HR = 1.98), colour vision abnormalities (HR = 1.69), constipation (HR = 1.67), REM atonia loss (HR = 1.54), and age (HR = 1.54). There was no significant predictive value of sex, daytime somnolence, insomnia, restless legs syndrome, sleep apnoea, urinary dysfunction, orthostatic symptoms, depression, anxiety, or hyperechogenicity on substantia nigra ultrasound. Among predictive markers, only cognitive variables were different at baseline between those converting to primary dementia versus parkinsonism. Sample size estimates for definitive neuroprotective trials ranged from 142 to 366 patients per arm. This large multicentre study documents the high phenoconversion rate from iRBD to an overt neurodegenerative syndrome. Our findings provide estimates of the relative predictive value of prodromal markers, which can be used to stratify patients for neuroprotective trials
Analisi quantitativa del ritmo attivitaÌ/riposo: un approccio oggettivo per lo screening del disturbo comportamentale del sonno REM idiopatico.
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Quantitative actigraphic analysis in isolated REM sleep behavior disorder
Objectives/Introduction: To evaluate whether quantitative acti-
graphic analysis is able to distinguish isolated REM sleep behavior
disorder (iRBD) patients from patients suffering sleep disorders with
pathological motor activity during sleep and healthy controls.
Methods: 19 subjects with iRBD, 19 restless leg syndrome pa-
tients (RLS), 20 untreated sleep apnea syndrome patients (OSA)
and 16 healthy controls underwent 2-week actigraphy, video-
polysomnography, and completed several RBD questionnaires.
Results: iRBD patients have lower sleep efficiency (q < 0.05) with
increased frequency of prolonged awakenings (q < 0.05) compared
to RLS and controls. iRBD patients have more diurnal naps in com-
parison to all clinical groups and to controls (q < 0.005). Actigraphic
nonparametric measures not differ between iRBD patients and the
other groups. A 24-hr measure that expresses the relationship be-
tween nocturnal and diurnal motor activity intensity (I < O) well dis-
tinguishes iRBD from other sleep disorders (q < 0.0005).
Conclusions: Our results indicate that actigraphic assessment may
have a relevant role in the diagnostic work up of iRBD. Actigraphy
analysis, alone or in combination with other tools (e.g. screen-
ing questionnaires), could represent an effective and easy-to-use
screening tool for iRBD.
Disclosure: Nothing to disclose
Effects of singing bowl exposure on Karolinska sleepiness scale and pupillographic sleepiness test: A randomised crossover study.
BACKGROUND:The aim of this study was to investigate the effects on subjective and objective sleepiness of a stay above a large struck singing bowl compared to a relaxation period in a silent singing bowl. METHODS:Fifty-eight healthy subjects were recruited for the study, 48 participated on two days, one week apart, during the same timeslot. The Karolinska sleepiness scale was used to evaluate current subjective sleepiness, and the relative pupillary unrest index to assess objective sleepiness. In this randomized cross-over study, the intervention consisted of a 20-minute stay in a hammock while the singing bowl, positioned beneath, was struck seven times. The controlled comparator was a 20-minute stay in the same hammock above the singing bowl, but without being struck. After these two interventions subjective and objective sleepiness were re-evaluated. RESULTS:The mean relative pupillary unrest index values after relaxation in the struck and silent singing bowl groups were 0.74 and respectively 0.71 (p = 0.460). The median Karolinska sleepiness scale value after relaxation with the struck singing bowl was 3 compared with 4 (p = 0.041) for the silent singing bowl. DISCUSSION:This study evaluated the influence of a struck singing bowl on sleepiness during daytime. Subjective sleepiness was significantly lower after relaxation above a struck singing bowl. After gender stratification, the difference was still significant in women. Objective sleepiness was not different in both groups. Finally, we can only speculate if women may be more susceptible to subjective improvements in case of sleepiness and show another perception of relaxation in a struck singing bowl compared to men
Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona (SINBAR) scoring method
Rapid eye movement (REM) sleep without atonia (RWA) is the polysomnographic hallmark of REM Sleep Behavior Disorder (RBD). The
state-of-the-art methods to score RWA are visual-based. Recent international guidelines recommended the Sleep Innsbruck Barcelona (SINBAR) method for
scoring RWA in 3-s mini-epochs. This method calls for scoring phasic EMG activity in the flexor digitorum superficialis (FDS) and âanyâ (i.e., tonic and/or
phasic) EMG activity in the mentalis muscle. A semi-automatic algorithm scoring RWA according to this method is currently available in a commercial
polysomnographic system (BrainRT, OSG, Belgium), however it still requires manual removal of EMG artifacts from expert scorers.
This work proposes a novel method that, based on morphological aspects of EMG activity and machine learning (ML), discriminates activity from artifacts in
the evaluation of RWA, thus allowing automatization for artifact correctio
Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona scoring method
Identification of Restless Legs Syndrome Genes by Mutational Load Analysis
Objective Restless legs syndrome is a frequent neurological disorder with substantial burden on individual well-being and public health. Genetic risk loci have been identified, but the causatives genes at these loci are largely unknown, so that functional investigation and clinical translation of molecular research data are still inhibited. To identify putatively causative genes, we searched for highly significant mutational burden in candidate genes. Methods We analyzed 84 candidate genes in 4,649 patients and 4,982 controls by next generation sequencing using molecular inversion probes that targeted mainly coding regions. The burden of low-frequency and rare variants was assessed, and in addition, an algorithm (binomial performance deviation analysis) was established to estimate independently the sequence variation in the probe binding regions from the variation in sequencing depth. Results Highly significant results (considering the number of genes in the genome) of the conventional burden test and the binomial performance deviation analysis overlapped significantly. Fourteen genes were highly significant by one method and confirmed with Bonferroni-corrected significance by the other to show a differential burden of low-frequency and rare variants in restless legs syndrome. Nine of them (AAGAB, ATP2C1, CNTN4, COL6A6, CRBN, GLO1, NTNG1, STEAP4, VAV3) resided in the vicinity of known restless legs syndrome loci, whereas 5 (BBS7, CADM1, CREB5, NRG3, SUN1) have not previously been associated with restless legs syndrome. Burden test and binomial performance deviation analysis also converged significantly in fine-mapping potentially causative domains within these genes. Interpretation Differential burden with intragenic low-frequency variants reveals putatively causative genes in restless legs syndrome. ANN NEUROL 201
Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease.
International audienceObjective: This multilanguage study used simple speech recording and high-end pattern analysis to provide sensitive and reliable noninvasive biomarkers of prodromal versus manifest α-synucleinopathy in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) and early-stage Parkinson disease (PD).Methods: We performed a multicenter study across the Czech, English, German, French, and Italian languages at 7 centers in Europe and North America. A total of 448 participants (337 males), including 150 with iRBD (mean duration of iRBD across language groups 0.5-3.4 years), 149 with PD (mean duration of disease across language groups 1.7-2.5 years), and 149 healthy controls were recorded; 350 of the participants completed the 12-month follow-up. We developed a fully automated acoustic quantitative assessment approach for the 7 distinctive patterns of hypokinetic dysarthria.Results: No differences in language that impacted clinical parkinsonian phenotypes were found. Compared with the controls, we found significant abnormalities of an overall acoustic speech severity measure via composite dysarthria index for both iRBD (p = 0.002) and PD (p < 0.001). However, only PD (p < 0.001) was perceptually distinct in a blinded subjective analysis. We found significant group differences between PD and controls for monopitch (p < 0.001), prolonged pauses (p < 0.001), and imprecise consonants (p = 0.03); only monopitch was able to differentiate iRBD patients from controls (p = 0.004). At the 12-month follow-up, a slight progression of overall acoustic speech impairment was noted for the iRBD (p = 0.04) and PD (p = 0.03) groups.Interpretation: Automated speech analysis might provide a useful additional biomarker of parkinsonism for the assessment of disease progression and therapeutic interventions. ANN NEUROL 2021;90:62-75
Alpha-synuclein seeds in olfactory mucosa of patients with isolated REM sleep behaviour disorder
Isolated REM sleep behaviour disorder (RBD) is an early-stage alpha-synucleinopathy in most, if not all, affected subjects. Detection of pathological alpha-synuclein in peripheral tissues of patients with isolated RBD may identify those progressing to Parkinson's disease, dementia with Lewy bodies or multiple system atrophy, with the ultimate goal of testing preventive therapies. Real-time quaking-induced conversion (RT-QuIC) provided evidence of alpha-synuclein seeding activity in CSF and olfactory mucosa of patients with alpha-synucleinopathies. The aim of this study was to explore RT-QuIC detection of alpha-synuclein aggregates in olfactory mucosa of a large cohort of subjects with isolated RBD compared to patients with Parkinson's disease and control subjects. This cross-sectional case-control study was performed at the Medical University of Innsbruck, Austria, the Hospital Clinic de Barcelona, Spain, and the University of Verona, Italy. Olfactory mucosa samples obtained by nasal swab in 63 patients with isolated RBD, 41 matched Parkinson's disease patients and 59 matched control subjects were analysed by alpha-synuclein RT-QuIC in a blinded fashion at the University of Verona, Italy. Median age of patients with isolated RBD was 70 years, 85.7% were male. All participants were tested for smell, autonomic, cognitive and motor functions. Olfactory mucosa was alpha-synuclein RT-QuIC positive in 44.4% isolated RBD patients, 46.3% Parkinson's disease patients and 10.2% control subjects. While the sensitivity for isolated RBD plus Parkinson's disease versus controls was 45.2%, specificity was high (89.8%). Among isolated RBD patients with positive alpha-synuclein RT-QuIC, 78.6% had olfactory dysfunction compared to 21.4% with negative alpha-synuclein RT-QuIC (P<0.001). The extent of olfactory dysfunction was more severe in isolated RBD patients positive than negative for olfactory mucosa a-synuclein RT-QuIC (P<0.001). We provide evidence that the alpha-synuclein RT-QuIC assay enables the molecular detection of neuronal alpha-synuclein aggregates in olfactory mucosa of patients with isolated RBD and Parkinson's disease. Although the overall sensitivity was moderate in this study, nasal swabbing is attractive as a simple, non-invasive test and might be useful as part of a screening battery to identify subjects in the prodromal stages of alpha-synucleinopathies. Further studies are needed to enhance sensitivity, and better understand the temporal dynamics of alpha-synuclein seeding in the olfactory mucosa and spreading to other brain areas during the progression from isolated RBD to overt alpha-synucleinopathy, as well the impact of timing, disease subgroups and sampling technique on the overall sensitivity
Spoken language alterations can predict phenoconversion in isolated REM sleep behavior disorder: a multicentric study.
OBJECTIVE
This study assessed the relationship between speech and language impairment and outcome in a multicenter cohort of isolated/idiopathic rapid eye movement sleep behavior disorder (iRBD).
METHODS
Patients with iRBD from 7 centers speaking Czech, English, German, French, and Italian languages underwent a detailed speech assessment at baseline. Story-tale narratives were transcribed and linguistically annotated using fully automated methods based on automatic speech recognition and natural language processing algorithms, leading to the 3 distinctive linguistic and 2 acoustic patterns of language deterioration and associated composite indexes of their overall severity. Patients were then prospectively followed and received assessments for parkinsonism or dementia during follow-up. The Cox proportional hazard was performed to evaluate the predictive value of language patterns for phenoconversion over a follow-up period of 5âyears.
RESULTS
Of 180 patients free of parkinsonism or dementia, 156 provided follow-up information. After a mean follow-up of 2.7âyears, 42 (26.9%) patients developed neurodegenerative disease. Patients with higher severity of linguistic abnormalities (hazard ratio [HRâ=â2.35]) and acoustic abnormalities (HRâ=â1.92) were more likely to develop a defined neurodegenerative disease, with converters having lower content richness (HRâ=â1.74), slower articulation rate (HRâ=â1.58), and prolonged pauses (HRâ=â1.46). Dementia-first (nâ=â16) and parkinsonism-first with mild cognitive impairment (nâ=â9) converters had higher severity of linguistic abnormalities than parkinsonism-first with normal cognition converters (nâ=â17).
INTERPRETATION
Automated language analysis might provide a predictor of phenoconversion from iRBD into synucleinopathy subtypes with cognitive impairment, and thus can be used to stratify patients for neuroprotective trials. This article is protected by copyright. All rights reserved