Decreased sleep spindle density in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers

“…Further research is required to compare the automated sleep spindle detection by this approach with automated routines applied to more conventional EEG spindle detection sites, 38 and to evaluate the changes in this measure as it relates to age, sex, and neurodegeneration. [3][4][5]39 A limitation of this study was the relatively dichotomous age representation of our healthy controls with very few participants in this cohort being between the ages of 40 and 60 years. Cognizant of the limitation, we excluded those older than 70 years when establishing the sleep spindle reference values.…”

“…2 Emerging evidence also suggests that sleep architecture and sleep continuity (ie, sleep biomarkers) may be beneficial in monitoring brain health in the setting of management of neurodegenerative disorders. For example, sleep spindle characteristics during non-rapid eye movement (NREM) sleep have been associated with cognitive decline in patients with Parkinson disease, [3][4][5] and reduced slow wave sleep has been associated with increased beta amyloid (directly linked to Alzheimer disease) concentrations in the cerebrospinal fluid. 6 Because sleep spindles and slow wave sleep are believed to be associated with the metabolic clearance systems of the brain, 7 it is now argued that the routine monitoring of change in these measures are useful in evaluating the risk for, or progression of neurodegeneration.…”

Sleep stability and transitions in patients with idiopathic REM sleep behavior disorder and patients with Parkinson’s disease

“…Specifically, patients with iRBD and PD have been reported to have EEG frequency slowing (Rodrigues Brazète et al, 2013), changed EEG during REM sleep (Christensen et al, 2014a;Fantini et al, 2003;Hansen et al, 2013), changed morphology or fewer rapid or slow eye movements (Christensen et al, 2014a and sleep spindles (SS) (Christensen et al, 2014b;Latreille et al, 2014), and display RSWA. The listed findings contribute to very altered sleep and consequently, sleep stage scoring this pathology is associated with high inter-rater variability (Danker-Hopfe et al, 2004;Jensen et al, 2010).…”

“…Several studies have focused on analysis of sleep data in the search for PD biomarkers (Dos Santos et al, 2014). These have examined measures of sleep spindle densities, RSWA, slow wave characteristics (Christensen et al, 2014b;Kempfner et al, 2014a,b;Latreille et al, 2014Latreille et al, , 2011Postuma et al, 2010) and other measures of abnormalities of brain stem function, including autonomic functions such as heart-rate variability (Sorensen et al, 2013a(Sorensen et al, , 2012 and other non-motor symptoms (Garcia-Ruiz et al, 2014;Sakakibara et al, 2014).…”

Analysis of EEG Sleep Spindle Parameters from Apnea Patients Using Massive Computing and Decision Tree

“…These results correlate well with theories of brain plasticity. Chronic problems, such as apnea, Parkinson's disease, epileptic encephalopathy, and others eventually impact neural mechanisms through final common pathways that may translate into lower amplitudes for short time EEG transients like spindles [7], [14]- [17]. This is a preliminary work where it was possible to perform systematic MP decomposition of sleep EEG signals pertaining to a representative sample of apnea patients, thereby finding a dictionary size more appropriate for this type of study.…”