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92 results for “REM sleep”
Fig 2 eYFP closed loop activation controls, in Regulation of REM Sleep by Inhibitory Neurons in the Dorsomedial Medulla
<p>Sleep recording data for closed loop eYFP controls. Associated with Figure 2C,E.</p>
Fig 2 ChR2 closed loop, in Regulation of REM Sleep by Inhibitory Neurons in the Dorsomedial Medulla
<p>Sleep recording data for ChR2 closed loop experiments. Associated with Figure 2C,E.</p>
All code generated for Regulation of REM Sleep by Inhibitory Neurons in the Dorsomedial Medulla
<p>The read_me file text file contains a list of all subfigures and the code used to generate them.</p>
Longitudinal change in dopamine transporter availability in idiopathic REM sleep behavior disorder
<p><span><b><span>Objective</span></b><span>: </span><span><span>To elucidate longitudinal changes in the dopamine transporter (DAT) availability in association with the prodromal markers in idiopathic rapid-eye-movement sleep behavior disorder (iRBD), we analyzed a longitudinal prospective iRBD cohort data.</span></span></span></p> <p><span><b>Method</b>: The study cohort consisted of iRBD, Parkinson's disease (PD) patients and healthy controls. All participants were evaluated for olfaction, neuropsychological tests, the Movement disorders society-Unified Parkinson's disease Rating Scale and underwent <sup>18</sup>F-FP-CIT PET scans every 2 years. We calculated the DAT pattern by performing the principal component analysis of tracer uptakes in 6 striatal regions.</span></p> <p><span><b>Results</b>: DAT patterns in iRBD patients with baseline hyposmia, constipation and mild parkinsonian signs distributed toward PD-pattern and clearly distinguished from the healthy control pattern. The DAT pattern moved toward PD-pattern over time in some iRBD patients during the follow-up and baseline hyposmia was the only biomarker significantly associated with this change. Baseline PD-pattern of DAT predicted 58% of disease converters (Hazard Ratio=4.95 [1.16~21.08]). The combination of hyposmia and baseline PD pattern of DAT predicted 67% of the conversion (Hazard Ratio=7.89 [1.85~33.69]). The estimated sample size required for a simulated neuroprotective clinical trial was 63 per group when the annual change of DAT pattern was used as an outcome in the subgroup with baseline DAT PD-pattern and hyposmia, which is the smallest number reported so far.</span></p> <p><span><b>Conclusion:</b> Baseline and longitudinal monitoring of the DAT pattern can be a useful biomarker in identifying individuals with a high risk of disease conversion and in selecting the potential population for clinical trials in iRBD.</span></p>
Parkinson's disease-related brain metabolic patterns and neurodegeneration in isolated REM sleep behavior disorder
<p><span><b>Objective</b>: To elucidate the role of Parkinson's disease (PD)-related brain metabolic patterns as a biomarker in isolated rapid-eye-movement sleep behavior disorder (iRBD) for future disease conversion.</span></p> <p><span><b>Method</b>: This is a prospective cohort study consisting of 30 iRBD patients, 25 de novo PD patients with a premorbid history of RBD, 21 long-standing PD patients on stable treatment and 24 healthy controls. iRBD group was longitudinally followed up. All participants underwent <sup>18</sup>F-Fluorodeoxyglucose (FDG) PET and were evaluated with olfaction, cognition, and the Movement disorders society-Unified PD Rating Scale (MDS-UPDRS) at baseline. From FDG-PET scans, we derived metabolic patterns from the long-standing PD group (PD-RP) and de novo PD group with RBD (dnPDRBD-RP). Subsequently, we calculated the PD-RP and dnPDRBD-RP scores in iRBD patients. We validated the metabolic patterns in each PD group and separate iRBD cohort (<i>n</i>=14).</span></p> <p><span><b>Result</b>: The two patterns significantly correlated with each other and were spatially overlapping yet distinct. The MDS-UPDRS motor scores significantly correlated with PD-RP (<i>p</i> = 0.013) but not with dnPDRBD-RP (<i>p</i> = 0.076). In contrast, dnPDRBD-RP correlated with olfaction in butanol threshold test (<i>p</i> = 0.018) in iRBD subjects, but PD-RP did not (<i>p</i> = 0.21). High dnPDRBD-RP in iRBD patients predicted future phenoconversion with all cut-off ranges from 1.5 to 3 standard deviations of the control value, whereas predictability of PD-RP was only significant in a partial range of cut-off.</span></p> <p><b>Conclusion:</b> The dnPDRBD-RP is an efficient neuroimaging biomarker that reflects prodromal features of PD and predicts phenoconversion in iRBD that can be applied individually.</p>
Homeostatic regulation of REM sleep by the preoptic area of the hypothalamus
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Code for Prefrontal Cortical Regulation of REM sleep
<p>READ_ME.txt file contains a list of all figures and scripts used to generate them.</p>
An Exploratory Study of the Potential for Rational Immune System Manipulation to Prevent Emergence of Synucleinopathy Manifestations in Persons With REM Sleep Behavior Disorder (RBD)
ClinicalTrials.gov study NCT06996652. IPD Sharing: YES. Countries: 1. Publications: 0.
Quantitative Mapping of Substantia Nigra Iron in Parkinson's Disease (Stages I-IV, REM Sleep Behavior Disorder) and Controls
ClinicalTrials.gov study NCT03675282. IPD Sharing: NO. Countries: 1. Publications: 0.
DREAMER - IsolateD REM Sleep Without Atonia as a Risk Factor for REM Sleep Behavior disordER
ClinicalTrials.gov study NCT06140511. IPD Sharing: UNDECIDED. Countries: 0. Publications: 19.
Data from: Risk factors for possible REM sleep behavior disorder: a CLSA population-based cohort study
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Data from: Risk factors for possible REM sleep behavior disorders: a community-based study in Beijing
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Longitudinal change in dopamine transporter availability in idiopathic REM sleep behavior disorder
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Data from: Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD
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Data from: Chemogenetic inhibition of the medial prefrontal cortex reverses the effects of REM sleep loss on sucrose consumption
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Parkinson’s disease-related brain metabolic patterns and neurodegeneration in isolated REM sleep behavior disorder
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Candidate biomarkers of EV-microRNA in detecting REM sleep behavior disorder and Parkinson’s disease
GEO Series GSE166070. Homo sapiens. 177 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
REM sleep’s unique associations with corticosterone regulation, apoptotic pathways and behavior in chronic stress in mice
GEO Series GSE125441. Mus musculus. 64 samples. Type: Expression profiling by high throughput sequencing.
Orexin/Hypocretin Receptor 2 Signaling in MCH Neurons Regulates REM sleep and Insulin Sensitivity
GEO Series GSE281229. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Exploration of the Reward System by Functional MRI in Parkinson's Disease Patients With and Without REM Sleep Behavior Disorder
ClinicalTrials.gov study NCT02824341. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.