Rhythms and Background (RnB): The Spectroscopy of Sleep Recordings DOI Open Access

Johanne Dubé,

Maria Foti, Stéphane Jaffard

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Abstract Non-rapid eye movement (NREM) sleep is characterized by the interaction of multiple coupled oscillations essential for various functions such as memory consolidation, alongside a pervasive and dynamic arrhythmic 1/f scale-free background that may also contribute to these functions. Although recent spectral parametrization methods FOOOF (Fitting-One-and-Over-f) allowed dissociate rhythmic components in domain, they fail resolve processes time where instantaneous measures frequency, amplitude, phase-amplitude coupling are still confounded activity. This limitation represents significant pitfall studies NREM sleep, which often rely on phase-based analyses specific oscillations. To address this limitation, we introduce ‘Rhythms & Background’ (RnB), novel wavelet-based methodology designed dynamically denoise time-series data correcting interference. enables extraction purely suitable enhanced time-domain rhythms. We first validate RnB through simulations, demonstrating its robust performance accurately estimating profiles individual across range conditions. then apply publicly available intracranial EEG recordings, showing it provides an improved representation hallmark Finally, demonstrate significantly enhances assessment between cardinal oscillations, outperforming traditional conflate components. methodological advance offers substantial improvement analysis providing greater precision study activity critical SIGNIFICANCE STATEMENT The Rhythms Background (RnB) algorithm introduces approach signal processing electrophysiology isolating from at level. Unlike existing decomposition methods, more precise brain rhythms both domains, clearer insights into cerebral oscillatory processes. breakthrough has direct applications studying connectivity oscillation dynamics during sleep. Additionally, application clinical populations pathological changes common, neurodevelopmental neurodegenerative disorders, will help better understand abnormal By improving accuracy analysis, opens new avenues understanding function dysfunction research settings.

Язык: Английский

An Empirical Study of Adaptive Feedback to Enhance Cognitive Ability in Programming Learning among College Students: A Perspective Based on Multimodal Data Analysis DOI Creative Commons

W.-L. Fu,

Jiahua Zhang, Di Zhang

и другие.

Journal of Educational Computing Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 4, 2025

Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners’ cognitive a crucial factor in improving efficacy education. Adaptive feedback strategies can provide learners personalized support based on their learning context, which helps to stimulate interest improve outcomes. Nevertheless, it remains unclear whether adaptive enhance learners. This study applies an introductory course by designing quasi-experiment analyze reveal effects program from multiple modalities, including physiological, psychological, behavioral data. Sixty-five first-year university students were randomly assigned either experimental or control groups. The group received during process non-differential feedback. findings demonstrated that significantly enhances superior performance tests, examinations, self-efficacy. Furthermore, was found markedly processing learners, as evidenced amplitude latency P300 component EEG signals, key-press reaction times accuracy rates.

Язык: Английский

Процитировано

2
The significance of interictal electroencephalogram analysis based on the Grand Total Electroencephalogram score in early assessment of cognitive impairment in epilepsy patients DOI

Honghua Chen,

Lingli Ju,

Yeong Shin Ji

и другие.

Epilepsy Research, Год журнала: 2025, Номер 210, С. 107506 - 107506

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

0
Temporal autocorrelation is predictive of age—An extensive MEG time-series analysis DOI Creative Commons
Christina Stier, Elio Balestrieri,

Jana Fehring

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(8)

Опубликована: Фев. 20, 2025

Understanding the evolving dynamics of brain throughout life is pivotal for anticipating and evaluating individual health. While previous research has described age effects on spectral properties neural signals, it remains unclear which ones are most indicative age-related processes. This study addresses this gap by analyzing resting-state data obtained from magnetoencephalography (MEG) in 350 adults (18 to 88 y). We employed advanced time-series analysis at region level machine learning predict age. traditional features achieved low moderate accuracy, over a hundred proved superior. Notably, temporal autocorrelation (AC) emerged as robust predictor Distinct patterns AC within visual cortex were informative, offering versatile measure signal changes comprehensive health assessments based activity.

Язык: Английский

Процитировано

0
Lower Aperiodic EEG Activity is Associated with Reduced Verbal Fluency Performance Across Adulthood DOI Creative Commons
Daniel J. McKeown, Emily Roberts, Anna J Finley

и другие.

Neurobiology of Aging, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Age-related cognitive decline associations with human electroencephalography (EEG) have previously focused on periodic activity. However, EEG primarily consists of non-oscillatory aperiodic activity, characterised an exponent and offset value. In a secondary analysis cohort 111 healthy participants aged 17 - 71 years, we examined the in resting battery tests consisting Colour-Word Interference Test, Wechsler Adult Intelligence Scale IV Digit Span Rey Auditory Learning Delis-Kaplan Executive Function System Trail Making Verbal Fluency Test. Using Principal Component Analysis K-Means Clustering, identified clusters electrodes that exhibited similar activity during resting-state eyes-closed EEG. Robust linear models were then used to model how interacted age their performance each test. Offset by interactions for where smaller offsets associated poorer adults as early 33 years age. Greater is increasingly related better verbal fluency adulthood.

Язык: Английский

Процитировано

0
Peak alpha frequency and alpha power spectral density as vulnerability markers of cognitive impairment in Parkinson’s disease: an exploratory EEG study DOI Creative Commons
Yuqing Zhao,

Jiayu Cai,

Jian Song

и другие.

Frontiers in Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Апрель 29, 2025

Cognitive impairment substantially impacts quality of life in Parkinson's disease (PD), yet current biomarker frameworks lack sensitivity for detecting early-stage cognitive decline. While peak alpha frequency (PAF) and power spectral density (PSD) have emerged as potential electrophysiological markers, prior studies primarily focused on global cortical measures, neglecting region-specific variations that may better reflect the heterogeneous nature PD-related (PDCOG). To address this gap, we conducted first multiregional comparative analysis PAF PSD between PDCOG PD with normal cognition patients (PDNC). Data from 76 participants (44 PD, 32 healthy controls) at The Affiliated Rehabilitation Hospital Fujian University Traditional Chinese Medicine (March-July 2024) were analyzed. computed across brain regions; function was assessed via MoCA. Global reduced vs. controls (p < 0.05) correlated cognition. showed lower parieto-occipital/posterior temporal regions (P3, P4, O1, T5, T6, PZ) PDNC 0.05), these positively correlating MoCA scores. ROC identified P3, PZ, T6 optimal discriminators (AUC: 0.77-0.758). Executive inversely right posterior temporal/left occipital regions. differentiates links to cognition, while regional (notably T6) effectively distinguishes PDNC. These findings underscore QEEG's utility assessment, though limitations warrant optimization.

Язык: Английский

Процитировано

0
Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model DOI
Adrien Bénard, Mihai Dragoş Mălîia, Maxime Yochum

и другие.

Brain Topography, Год журнала: 2025, Номер 38(4)

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0
Decoding the Narcissistic Brain DOI Creative Commons
Zhiwei Zhou, Chengli Huang,

Esther M. Robins

и другие.

NeuroImage, Год журнала: 2025, Номер unknown, С. 121284 - 121284

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Dose-response of Transcranial Photobiomodulation on Resting-State EEG Dynamics DOI
Yan Song,

Yiwen Li,

Yiyang Wang

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

Abstract Transcranial photobiomodulation (tPBM) is a novel and non-invasive brain stimulation technique for promising cognitive improvement. yet the mechanisms underlying its modulation of human function remain unclear. In this study, three double-blind sham-controlled experiments were conducted to investigate effects tPBM irradiance, duration, total energy on neural dynamics. We recorded electroencephalography (EEG) 101 adults during intervention assessed EEG power, individual alpha peak frequency (IAPF), weighted phase lag index (wPLI) explore mechanisms. Results revealed that moderate doses delayed decline in parietal-occipital IAPF, whereas higher irradiance enhanced whole-brain connectivity indexed by wPLI. Our study provides consistent evidence across dynamics are dose-dependent: resulted regional IAPF stabilization linked alertness, led global increased functional associated with integration. This dose-response duality highlights importance tailoring parameters optimize therapeutic outcomes.

Язык: Английский

Процитировано

0
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam DOI Creative Commons
Daniel J. McKeown, Anna J Finley, Nicholas J. Kelley

и другие.

Cerebral Cortex, Год журнала: 2023, Номер unknown

Опубликована: Дек. 14, 2023

SpecParam (formally known as FOOOF) allows for the refined measurements of electroencephalography periodic and aperiodic activity, potentially provides a non-invasive measurement excitation: inhibition balance. However, little is about psychometric properties this technique. This integral understanding usefulness tool to determine differences in cognitive function, activity. We used intraclass correlation coefficients examine test-retest reliability parameterized activity across three sessions (90 minutes apart 30 days later) 49 healthy young adults at rest with eyes open, closed, during closed tasks including subtraction (Math), music recall (Music), episodic memory (Memory). Intraclass were good exponent offset (intraclass > 0.70) 0.66 alpha beta power, central frequency, bandwidth) conditions. Across all sessions, performed poorly open (40% participants had poor fits over non-central sites) mostly reliable metrics individual neural More work needed understand suitability resting data parameterization using SpecParam.

Язык: Английский

Процитировано

8
EEG spectral attractors identify a geometric core of brain dynamics DOI Creative Commons

Parham Pourdavood,

Michael Jacob

Patterns, Год журнала: 2024, Номер 5(9), С. 101025 - 101025

Опубликована: Июль 19, 2024

Язык: Английский

Процитировано

1