Impact of sleep deprivation on aperiodic activity: a resting-state EEG study DOI
Duo Bai, Jingyi Hu, Simon Theodor Jülich

et al.

Journal of Neurophysiology, Journal Year: 2024, Volume and Issue: 132(5), P. 1577 - 1588

Published: Oct. 16, 2024

Aperiodic and periodic components were separated in a large open-access EEG dataset of sleep deprivation. offsets increase after deprivation, particularly the occipital region, reflecting decline self-reported vigilance. Parameterized alpha bandwidth, which was ignored previous studies, is found to be relevant Increase bandwidth focused temporal lobes.

Language: Английский

Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research DOI Creative Commons
Enda Tan, Sonya V. Troller‐Renfree, Santiago Morales

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 67, P. 101404 - 101404

Published: June 1, 2024

The theta band is one of the most prominent frequency bands in electroencephalography (EEG) power spectrum and presents an interesting paradox: while elevated during resting state linked to lower cognitive abilities children adolescents, increased tasks associated with higher performance. Why does power, measured versus tasks, show differential correlations functioning? This review provides integrated account functional correlates across different contexts. We first present evidence that correlated executive functioning, attentional abilities, language skills, IQ. Next, we research showing increases memory, attention, control, these processes better Finally, discuss potential explanations for between resting/task-related offer suggestions future this area.

Language: Английский

Citations

23

Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years DOI Creative Commons
Anna J Finley, Douglas J. Angus, Erik L. Knight

et al.

Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 44(13), P. e1332232024 - e1332232024

Published: Feb. 19, 2024

Measures of intrinsic brain function at rest show promise as predictors cognitive decline in humans, including EEG metrics such individual α peak frequency (IAPF) and the aperiodic exponent, reflecting strongest oscillations relative balance excitatory/inhibitory neural activity, respectively. Both IAPF exponent decrease with age have been associated worse executive working memory. However, few studies jointly examined their associations function, none association longitudinal rather than cross-sectional impairment. In a preregistered secondary analysis data from Midlife United States (MIDUS) study, we tested whether measured predict (

Language: Английский

Citations

18

Periodic and aperiodic contributions to theta‐beta ratios across adulthood DOI
Anna J Finley, Douglas J. Angus, Carien M. van Reekum

et al.

Psychophysiology, Journal Year: 2022, Volume and Issue: 59(11)

Published: June 25, 2022

Abstract The ratio of fronto‐central theta (4–7 Hz) to beta oscillations (13–30 Hz), known as the theta‐beta ratio, is negatively correlated with attentional control, reinforcement learning, executive function, and age. Although ratios have been found decrease age in adolescents young adults, has increase older adults. Moreover, age‐related individual alpha peak frequency flattening 1/ f aperiodic component may artifactually inflate association between These factors lead an incomplete understanding how varies across lifespan extent which variation due a conflation periodic activity. We conducted partially preregistered analysis examining cross‐sectional associations resting canonical frequency, ( n = 268; 36–84, M 55.8, SD 11.0). Age was associated ratios, frequencies, exponent. correlation remained after controlling for but nonsignificant when Aperiodic exponent fully mediated relationship age, although significantly theta, alpha, Results replicate previous observations show decreases are not frequencies primarily explained by

Language: Английский

Citations

33

Cortex-wide topography of 1/f-exponent in Parkinson’s disease DOI Creative Commons
Pascal Helson, Daniel Lundqvist, Per Svenningsson

et al.

npj Parkinson s Disease, Journal Year: 2023, Volume and Issue: 9(1)

Published: July 13, 2023

Parkinson's disease (PD) is a progressive and debilitating brain disorder. Besides the characteristic movement-related symptoms, also causes decline in sensory cognitive processing. The extent of symptoms brain-wide projections neuromodulators such as dopamine suggest that many regions are simultaneously affected PD. To characterise disease-related changes neuronal function, we analysed resting state magnetoencephalogram (MEG) from two groups: PD patients healthy controls. standard spectral analysis, quantified aperiodic components (κ, λ) neural activity by fitting power law κ/f

Language: Английский

Citations

19

Resting EEG power spectra across middle to late life: associations with age, cognition, APOE-ɛ4 carriage, and cardiometabolic burden DOI
Ashleigh E. Smith, Anson C.M. Chau, Danielle Greaves

et al.

Neurobiology of Aging, Journal Year: 2023, Volume and Issue: 130, P. 93 - 102

Published: June 8, 2023

Language: Английский

Citations

16

Aperiodic and Hurst EEG exponents across early human brain development: A systematic review DOI Creative Commons
Ryan A. Stanyard, Dan Mason, Claire L. Ellis

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 68, P. 101402 - 101402

Published: June 7, 2024

In electroencephalographic (EEG) data, power-frequency slope exponents (1/f_β) can provide non-invasive markers of in vivo neural activity excitation-inhibition (E:I) balance. E:I balance may be altered neurodevelopmental conditions; hence, understanding how 1/f β evolves across infancy/childhood has implications for developing early assessments/interventions. This systematic review (PROSPERO-ID: CRD42023363294) explored the maturation (0-26 yrs) resting-state EEG measures (aperiodic [AE], power law [PLE] and Hurst [HE] exponents), including studies containing ≥1 ≥10 typically participants. Five databases (including Embase Scopus) were searched during March 2023. Forty-two identified (Nparticipants=3478). Risk bias was assessed using Quality Assessment with Diverse Studies tool. Narrative synthesis HE data suggests non-stationary occurs throughout development. Age-related trends complex, rapid decreases AEs infancy heterogenous changes thereafter. Regionally, AE maxima shifted developmentally, potentially reflecting spatial maturing brain connectivity. work highlights importance further characterising development to better understand shapes cognitive

Language: Английский

Citations

6

Aperiodic and Periodic Components of Resting-state EEG in Primary Insomnia DOI
Duo Bai, Y. Guo, Simon Theodor Jülich

et al.

Sleep Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Estimating Chronological Age From the Electrical Activity of the Brain: How EEG‐Age Can Be Used as a Marker of General Brain Functioning DOI Creative Commons
Theodore W. James, Adrian Burgess

Psychophysiology, Journal Year: 2025, Volume and Issue: 62(3)

Published: March 1, 2025

ABSTRACT With an aging global population, the number of older adults with age‐related changes in brain, including dementia, will continue to increase unless we can make progress early detection and treatment such conditions. There is extensive literature on effects EEG, particularly a decline Peak Alpha Frequency (PAF), but here, reversal convention, used EEG power‐frequency spectrum estimate chronological age. The motivation for this approach was that individual's brain age might act as proxy their general functioning, whereby discrepancy between could prove clinically informative by implicating deleterious sample sixty healthy adults, whose ages ranged from 20 78 years, using multivariate methods analyze broad (0.1–45 Hz), strong positive correlations emerged. Furthermore, more accurate accounted variance than well‐established PAF‐based estimates age, indicating be comprehensive measure functioning. We conclude become biomarker neural cognitive integrity.

Language: Английский

Citations

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

et al.

Neurobiology of Aging, Journal Year: 2025, Volume and Issue: unknown

Published: April 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.

Language: Английский

Citations

0

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

Esther M. Robins

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121284 - 121284

Published: May 1, 2025

Language: Английский

Citations

0