High-density electroencephalography as an innovative tool to explore sleep physiology and sleep related disorders

Pisarenco, I.; Caporro, Matteo; Prosperetti, Chiara; Manconi, Mauro

doi:10.1016/j.ijpsycho.2014.01.002

Cited by 24 publications

(12 citation statements)

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“…Over the last 2 decades, the use of high-density EEG and sleep neuroimaging methods has steadily increased in both healthy and clinical populations [64][65][66][67]. Both approaches have further refined our understanding of the localized and neural underpinnings of healthy and disrupted sleep, as well as of circadian variations in brain functions [68][69][70].…”

Section: Advanced Sleep Measurement Methodsmentioning

confidence: 99%

Sleep, Sleep Disorders, and Mild Traumatic Brain Injury. What We Know and What We Need to Know: Findings from a National Working Group

et al. 2016

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Disturbed sleep is one of the most common complaints following traumatic brain injury (TBI) and worsens morbidity and long-term sequelae. Further, sleep and TBI share neurophysiologic underpinnings with direct relevance to recovery from TBI. As such, disturbed sleep and clinical sleep disorders represent modifiable treatment targets to improve outcomes in TBI. This paper presents key findings from a national working group on sleep and TBI, with a specific focus on the testing and development of sleep-related therapeutic interventions for mild TBI (mTBI). First, mTBI and sleep physiology are briefly reviewed. Next, essential empirical and clinical questions and knowledge gaps are addressed. Finally, actionable recommendations are offered to guide active and efficient collaboration between academic, industry, and governmental stakeholders.

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Section: Advanced Sleep Measurement Methodsmentioning

confidence: 99%

Sleep, Sleep Disorders, and Mild Traumatic Brain Injury. What We Know and What We Need to Know: Findings from a National Working Group

et al. 2016

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“…Sleep represents the ultimate resting state, and sleep specific brain rhythms reflect the activity of complementary circuits within the thalamo-cortical system. Furthermore, the recent availability of high density EEG systems has made it possible to combine the exquisite temporal resolution provided by traditional electroencephalographic recordings with good spatial characterization of neuronal oscillations[61]. Capitalizing on this approach, several recent studies have reported marked deficits in several sleep spindles parameters in patients with schizophrenia compared to both healthy subjects and other psychiatric patients.…”

Section: Discussionmentioning

confidence: 99%

Sleep in Patients With Schizophrenia

Ferrarelli

2015

Curr Sleep Medicine Rep

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Numerous electrophysiological and neuroimaging studies have reported neurophysiological and cognitive deficits in schizophrenia patients during wakefulness. However, these findings have been inconsistently replicated across different groups of patients, thus complicating the identification of underlying neuronal defects. Sleep minimizes possible waking-related confounds, including decreased motivation and presence of active symptoms. Additionally, the two main sleep rhythms, slow waves and spindles, reflect the intrinsic activity of corticothalamic circuits and are associated with cognitive activities, including learning and memory, occurring during wakefulness. In this review I will present the most relevant sleep findings in schizophrenia, with particular emphasis on several recent studies that have consistently reported sleep spindle deficits in patients with schizophrenia. I will then elaborate on how these findings may contribute to a better understanding of the neurobiology of schizophrenia as well as to the development of novel pharmacological and non-pharmacological interventions to ameliorate the symptoms and cognitive impairments of schizophrenia patients.

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“…Although light masking effect obscures the deduction of true sleep-wake patterns from actogram, sleep can be precisely defined by the power density of different wavelengths on EEG (Hughes, 1990;Pisarenco, Caporro, Prosperetti, & Manconi, 2014). Quantifying the duration and number of NREM and rapid eye movement (REM) sleep bouts gives a good estimate of the stability of sleep.…”

Section: Sleep Phenotyping Of Mouse Modelsmentioning

confidence: 99%

“…Quantifying the duration and number of NREM and rapid eye movement (REM) sleep bouts gives a good estimate of the stability of sleep. In addition, as described in Section 2.2.3, δ power during NREM allows the determination of sleep quality (Huber et al, 2000;Pisarenco et al, 2014). FASP mouse models are predicted to have drastically decreased sleep bouts a few hours before the onset of dark phase, whereas FNSS model mice are expected to have less total sleep time during the 24 h L/D cycle as well as in the light phase.…”

Section: Sleep Phenotyping Of Mouse Modelsmentioning

confidence: 99%