SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 192, P. 110232 - 110232

Published: April 26, 2025

Sleep research uses electroencephalography (EEG) to infer brain activity in health and disease. Beyond standard sleep scoring, there is growing interest advanced EEG analysis that requires extensive preprocessing improve the signal-to-noise ratio specialized algorithms. While many software packages exist, has unique needs (e.g., specific artifacts, event detection). Currently, investigators use different libraries for tasks a 'fragmented' configuration inefficient, prone errors, learning of multiple environments. This complexity creates barrier beginners. Here, we present SleepEEGpy, an open-source Python package simplifies analysis. SleepEEGpy builds on MNE-Python, PyPREP, YASA, SpecParam offer all-in-one, beginner-friendly comprehensive research, including (i) cleaning, (ii) independent component analysis, (iii) detection, (iv) spectral feature visualization tools. A dedicated dashboard provides overview evaluate data preprocessing, serving as initial step prior detailed We demonstrate SleepEEGpy's functionalities using overnight high-density from healthy participants, revealing characteristic signatures typical each vigilance state: alpha oscillations wakefulness, spindles slow waves NREM sleep, theta REM sleep. hope this will be adopted further developed by community, constitute useful entry point tool beginners research.

Language: Английский

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Sleep duration and its associated factors in schizophrenia patients: a large-scale cross-sectional survey

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 13, 2025

Sleep disturbance is a common condition in patients with schizophrenia. Studies have shown that insufficient sleep and excessive lead to adverse health outcomes. This study aimed identify the factors associated short long duration, as well prevalence of somatic comorbidities schizophrenia patients. was conducted 24 mental institutes Guangdong Province using multistage-stratified random sampling method. All information collected by face-to-face interview structured questionnaire. The association duration sociodemographic clinical determined multinomial logistic regressions. Subgroup analysis performed various source A total 6 024 were enrolled this study, among whom 8.6% (n = 521) reported 47.2% 2 850) had duration. most comorbid chronic diseases entire cohort hypertension (8.0%), diabetes (6.8%) hyperlipidemia (3.2%). Factors such as, current smoker, outpatients, benzodiazepines (BZDs), side effects, comorbidities, age onset, illness positively On other hand, personal annul income < 10 000 yuan, ≥ 40 patients, first-generation antipsychotics (FGAs) effects In outpatient settings, overweight whereas inpatient being female correlated Disruption are highly prevalent demonstrates complex relationships socioeconomic information, schizophrenia, highlighting need for developing targeted interventions management strategies Not applicable.

Language: Английский

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Maternal immune activation exerts long‐term effects on activity and sleep in male offspring mice

European Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 60(7), P. 5505 - 5521

Published: Aug. 30, 2024

Exposure to infectious or non-infectious immune activation during early development is a serious risk factor for long-term behavioural dysfunctions. Mouse models of maternal (MIA) have increasingly been used address neuronal and dysfunctions in response prenatal infections. One commonly employed MIA model involves administering poly(I:C) (polyriboinosinic-polyribocytdilic acid), synthetic analogue double-stranded RNA, gestation, which robustly induces an acute viral-like inflammatory response. Using electroencephalography (EEG) infrared (IR) activity recordings, we explored alterations sleep/wake, circadian locomotor patterns on the adult male offspring poly(I:C)-treated mothers. Our findings demonstrate that these displayed reduced home cage (subjective) night under both light/dark constant darkness conditions. In line with this finding, mice exhibited increase non-rapid eye movement (NREM) sleep duration as well spindles density. Following deprivation, poly(I:C)-exposed extended NREM prolonged bouts dark phase compared non-exposed mice. Additionally, significant alteration EEG spectral power heightened pressure. Together, our study highlights lasting effects infection and/or pregnancy sleep/wake offspring.

Language: Английский

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SleepEEGpy: a Python-based software “wrapper” package to organize preprocessing, analysis, and visualization of sleep EEG data

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 18, 2023

Abstract Sleep research uses electroencephalography (EEG) to infer brain activity in health and disease. Beyond standard sleep scoring, there is increased interest advanced EEG analysis that require extensive preprocessing improve the signal-to-noise ratio, dedicated algorithms. While many software packages exist, has specific needs tools (e.g. particular artifacts, event detection). Currently, investigators use different libraries for tasks a ‘fragmented’ configuration inefficient, prone errors, requires learning of multiple environments. This leads high initial complexity, creating crucial barrier beginners research. Here, we present SleepEEGpy, an open-source Python “wrapper” package facilitate data analysis. SleepEEGpy builds upon MNE-Python, YASA, SpecParam provide all-in-one, beginner-friendly comprehensive yet straightforward including (i) cleaning, (ii) independent component analysis, (iii) detection events, (iv) spectral features, associated visualization tools. A dashboard tool provides overview evaluate its preprocessing, which can be useful as step prior detailed We demonstrate pipeline functionalities by applying it overnight high-density healthy participants, revealing characteristic signatures typical each vigilance state. These include alpha oscillations wakefulness, spindle slow wave activities NREM sleep, theta REM sleep. hope this will embraced further developed community, constitute entry point

Language: Английский

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A spectrum of altered non-rapid eye movement sleep in schizophrenia

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 29, 2023

Multiple facets of sleep neurophysiology, including electroencephalography (EEG) metrics such as non-rapid eye movement (NREM) spindles and slow oscillations (SO), are altered in individuals with schizophrenia (SCZ). However, beyond group-level analyses which treat all patients a unitary set, the extent to NREM deficits vary among is unclear, their relationships other sources heterogeneity clinical factors, illness duration ageing, cognitive profiles medication regimens. Using newly collected high density EEG data on 103 SCZ 68 controls, we first sought replicate our previously reported (Kozhemiako et. al, 2022) mean differences between controls (original

Language: Английский

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Impact of Sleep Loss in Residency – A Reflection

Heart and Mind, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

Abstract Sleep is one of the most fundamental aspects human life, attributed as vital for overall fitness, including cell repair, thermoregulation, immune function, energy conservation, and memory. Moreover, yet millions people worldwide are increasingly getting less than recommended 7–9 h sleep every night, which in effect results detrimental effects one’s memory, physical health, emotional stability. Healthcare workers have second highest percentage deprivation at 45% while importance heavily emphasized during medical training, there still seems to be a gap with way residents’ duty hours allocated given work hour limit goes up 28 per shift. This paper discusses resident from perspective former resident.

Language: Английский

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