2017
DOI: 10.15761/tbr.1000111
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Sleep spindles as an early biomarker of REM sleep disorder in a rat model of Parkinson’s disease cholinopathy

Abstract: Rhythmic oscillations of neuronal populations, generated by different mechanisms, are present at several levels of the central nervous system and serve many important physiological or reflect pathological functions. Understanding the role of brain oscillations as possible biomarkers of brain function and plasticity is still a challenge, and despite extensive research, their role is still not well established.We recently demonstrated that the hallmarks of earlier aging onset during impaired thalamo-cortical cho… Show more

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Cited by 5 publications
(14 citation statements)
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“…Moreover, the hallmarks of an earlier aging onset during the impaired thalamo-cortical cholinergic innervation in rat were consistently expressed through the increased EEG sigma amplitude during REM sleep, as a unique REM sleep phenomenon, alongside the broadly altered motor cortical drive to the dorsal nuchal muscles during NREM and REM sleep [9,10].…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Moreover, the hallmarks of an earlier aging onset during the impaired thalamo-cortical cholinergic innervation in rat were consistently expressed through the increased EEG sigma amplitude during REM sleep, as a unique REM sleep phenomenon, alongside the broadly altered motor cortical drive to the dorsal nuchal muscles during NREM and REM sleep [9,10].…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…In addition, the altered SS dynamic has been documented in coma, epilepsy, stroke, and several forms of mental diseases (Sullivan et al, 2014), while the HVS are associated with memory impairment and the progression of brain dysfunction (Radek et al, 1994; Sales-Carbonell et al, 2013). In the rat model of PD cholinopathy, during REM sleep, the altered SS dynamic in the MCx and HVS dynamic in the MCx and hippocampus reflected the thalamo-cortical dysregulation (Ciric et al, 2017, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Although in most reviews of PD, it is stated that the motor signs first appear when about 50% of the substantia nigra (SN) dopaminergic neurons are lost, there is a good consistency in the available data which suggest that the motor signs appear when there is about a 30% loss of the total SN neurons in comparison to age-matched controls, or when about 80% of the striatal or putaminal dopamine (DA) is lost (Cheng et al, 2010). Beside the well-known reductions in dopaminergic pathways, there is also evidence for alterations in the pedunculopontine tegmental nucleus (PPT) cholinergic pathways in PD, which are associated with impaired cognition, frequent falling, gait problems and sleep disorders (Bohnen and Albin, 2011; Bohnen et al, 2012; Müller et al, 2013; Petrovic et al, 2013a,b, 2014; Ciric et al, 2016, 2017, 2018). Furthermore, there is evidence that PD is preceded by REM sleep behavioral disorders (RBD) prior to the dopaminergic neuropathology, and that these REM sleep alterations are associated with the neuronal loss of the REM sleep regulatory neuronal population, such as the sublaterodorsal nucleus (Garcia-Lorenzo et al, 2013; Boucetta et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
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“…The first step for automatic SS and HVS detection during the 1 hr of NREM or REM sleep for each rat and experimental group was to filter the EEG signals using the 11-17 Hz band pass filter for SS, or the 4.1-10 Hz band pass filter for HVS. Then, we applied the continuous wavelet transform with the mother wavelet "cmorl-2'' MATLAB R2011a function, providing a complex Morlet wavelet with a determined central frequency f 0 = 2 (Adamczyk, Genzel, Dresler, Steiger, & Friess, 2015;Ciric et al, 2017Ciric et al, , 2018. In addition, all the SS had a minimal duration of 0.5 s, whereas all the HVS had a minimal duration of 1 s. However, because we automatically detected many false positive or negative SS or HVS, we had to visually cor- All the statistical analysis was conducted using the Mann-Whitney U-test.…”
Section: Sleep Recording and Data Analysismentioning
confidence: 99%