Aging amplifies sex differences in low alpha and low beta EEG oscillations DOI Creative Commons
Chuanliang Han, Vincent C. K. Cheung, Rosa H. M. Chan

и другие.

NeuroImage, Год журнала: 2025, Номер unknown, С. 121231 - 121231

Опубликована: Апрель 1, 2025

Biological sex profoundly shapes brain function, yet its precise influence on neural oscillations was poorly understood. Despite decades of research, studies investigating sex-based variations in electroencephalographic (EEG) signals have yielded inconsistent findings that obstructs what may be a potentially crucial source inter-individual variability function. To address this, we analyzed five publicly available resting-state datasets, comprising EEG data (n=445) and iEEG (n=103). Three age ranges were defined, young adult (YA, 18-30 years), middle-aged (MA, 30-55 years) older (OA, 55-75 years). Our results revealed striking age-dependent differences: OA group exhibited robust differences, with males showing heightened low alpha (8-9 Hz) activity temporal regions attenuated beta (16-20 parietal-occipital areas compared to females. Intriguingly, these sex-specific patterns absent YA group, suggesting complex interplay between aging shaping dynamics. The MA groups fall group. increase band female adults is strongly associated hip size BMI. Furthermore, identified consistent sex-related the precentral gyrus scalp EEG, driving observed differences. This multi-level analysis allowed us bridge gap cortical scalp-level observations, providing more comprehensive picture distinct associations oscillatory several lifestyle factors demonstrates sex, age, oscillations, revealing highlight importance careful demographic consideration research design ensure fairness capturing full spectrum neurophysiological diversity.

Язык: Английский

The development of theta and alpha neural oscillations from ages 3 to 24 years DOI Creative Commons
Dillan Cellier, Justin Riddle, Isaac T. Petersen

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2021, Номер 50, С. 100969 - 100969

Опубликована: Май 31, 2021

Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral organization that undergoes continuous refinement from childhood through adolescence. The goal of this study was to investigate the development theta (4−8 Hertz) alpha (8−12 oscillations early adulthood (years 3–24), as these play a fundamental role in cognitive function. We analyzed eyes-open, resting-state EEG data 96 participants estimate genuine separately aperiodic (1/f) signal. examined age-related differences signal (slope offset), well peak frequency power dominant posterior oscillation. For signal, we found both slope offset decreased with age. oscillation, frequency, but not power, increased Critically, (ages 3–7) characterized by dominance electrodes, whereas oscillation range between ages 7 24. Furthermore, displayed topographical transition electrodes anterior adulthood. Our results provide quantitative description oscillations.

Язык: Английский

Процитировано

166

Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood DOI Creative Commons
Aron T. Hill, Gillian M. Clark, Felicity J. Bigelow

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2022, Номер 54, С. 101076 - 101076

Опубликована: Янв. 22, 2022

The neurodevelopmental period spanning early-to-middle childhood represents a time of significant growth and reorganisation throughout the cortex. Such changes are critical for emergence maturation range social cognitive processes. Here, we utilised both eyes open closed resting-state electroencephalography (EEG) to examine maturational in oscillatory (i.e., periodic) non-oscillatory (aperiodic, '1/f-like') activity large cohort participants ranging from 4-to-12 years age (N = 139, average age=9.41 years, SD=1.95). EEG signal was parameterised into aperiodic periodic components, linear regression models were used evaluate if chronological could predict exponent offset, as well peak frequency power within alpha beta ranges. Exponent offset found decrease with age, while aperiodic-adjusted increased age; however, there no association between band. Age also unrelated spectral either or bands, despite ranges being correlated signal. Overall, these results highlight capacity features elucidate age-related functional developing brain.

Язык: Английский

Процитировано

148

Decomposing age effects in EEG alpha power DOI Creative Commons
Marius Tröndle, Tzvetan Popov, Andreas Pedroni

и другие.

Cortex, Год журнала: 2023, Номер 161, С. 116 - 144

Опубликована: Фев. 22, 2023

Increasing life expectancy is prompting the need to understand how brain changes during healthy aging. Research utilizing electroencephalography (EEG) has found that power of alpha oscillations decrease from adulthood on. However, non-oscillatory (aperiodic) components in data may confound results and thus require re-investigation these findings. Thus, present report analyzed a pilot two additional independent samples (total N = 533) resting-state EEG young elderly individuals. A newly developed algorithm was utilized allows decomposition measured signal into periodic aperiodic components. By using multivariate sequential Bayesian updating age effect each component, evidence across datasets accumulated. It hypothesized previously reported age-related differences will largely diminish when total adjusted for component. First, replicated. Concurrently, decreases intercept slope (i.e. exponent) component were observed. Findings on aperiodic-adjusted indicated this general shift spectrum leads an overestimation true effects conventional analyses power. importance separating neural spectra highlighted. also after accounting confounding factors, analysis provided robust aging associated with decreased While relation cognitive decline demands further investigation, consistent findings high test-retest reliabilities support emerging measures are reliable markers brain. Hence, previous interpretations reevaluated, incorporating signal.

Язык: Английский

Процитировано

62

Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence DOI Creative Commons
Shane D. McKeon,

Maria I. Perica,

Ashley C. Parr

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 66, С. 101373 - 101373

Опубликована: Апрель 1, 2024

Adolescence has been hypothesized to be a critical period for the development of human association cortex and higher-order cognition. A defining feature is shift in excitation: inhibition (E/I) balance neural circuitry, however how changes E/I may enhance cortical circuit function support maturational improvements cognitive capacities not known. Harnessing ultra-high field 7 T MR spectroscopy EEG large, longitudinal cohort youth (N = 164, ages 10–32 years old, 347 neuroimaging sessions), we delineate biologically specific associations between age-related excitatory glutamate inhibitory GABA neurotransmitters EEG-derived measures aperiodic activity reflective prefrontal cortex. Specifically, find that developmental increases reflected glutamate:GABA are linked assessed by suppression activity, which turn facilitates robust working memory. These findings indicate role E/I-engendered signaling mechanisms maturation maintenance. More broadly, this multi-modal imaging study provides evidence undergoes physiological consistent with plasticity during adolescence.

Язык: Английский

Процитировано

25

Test–retest reliability of resting‐state EEG in young and older adults DOI Creative Commons
Tzvetan Popov, Marius Tröndle, Zofia Baranczuk‐Turska

и другие.

Psychophysiology, Год журнала: 2023, Номер 60(7)

Опубликована: Март 9, 2023

Abstract The quantification of resting‐state electroencephalography (EEG) is associated with a variety measures. These include power estimates at different frequencies, microstate analysis, and frequency‐resolved source connectivity analyses. Resting‐state EEG metrics have been widely used to delineate the manifestation cognition identify psychophysiological indicators age‐related cognitive decline. reliability utilized prerequisite for establishing robust brain–behavior relationships clinically relevant To date, however, test–retest examination measures derived from resting human EEG, comparing between young older participants, within same adequately powered dataset, lacking. present registered report examined in sample 95 (age range: 20–35 years) 93 60–80 participants. A good‐to‐excellent was confirmed both age groups on scalp levels as well individual alpha peak frequency. Partial confirmation observed hypotheses stating microstates connectivity. Equal were scalp‐level partially so source‐level In total, five out nine postulated empirically supported most commonly reported metrics.

Язык: Английский

Процитировано

37

Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes DOI Creative Commons
Martina Kopčanová, Luke Tait, Thomas Donoghue

и другие.

Neurobiology of Disease, Год журнала: 2023, Номер 190, С. 106380 - 106380

Опубликована: Дек. 17, 2023

Electroencephalography (EEG) has shown potential for identifying early-stage biomarkers of neurocognitive dysfunction associated with dementia due to Alzheimer's disease (AD). A large body evidence shows that, compared healthy controls (HC), AD is power increases in lower EEG frequencies (delta and theta) decreases higher (alpha beta), together slowing the peak alpha frequency. However, pathophysiological processes underlying these changes remain unclear. For instance, recent studies have that apparent shifts from high low can be driven either by frequency specific periodic or rather non-oscillatory (aperiodic) 1/f slope spectrum. Hence, clarify mechanism(s) alterations AD, it necessary account both aperiodic characteristics signal. Across two independent datasets, we examined whether resting-state linked reflect true oscillatory (periodic) changes, (non-oscillatory) signal, a combination both. We found strong are purely nature, at beta (AD < HC) leading + beta) / ratios AD. Aperiodic features did not differ between HC. By replicating findings cohorts, provide robust pathophysiology against changes. therefore neural dynamics emphasize robustness signatures, which may further used as prognostic interventional targets future clinical investigations.

Язык: Английский

Процитировано

25

Developmental trajectories of EEG aperiodic and periodic components in children 2–44 months of age DOI Creative Commons
Carol L. Wilkinson, Lisa Yankowitz, Jerry Y. Chao

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июль 10, 2024

Abstract The development of neural circuits has long-lasting effects on brain function, yet our understanding early circuit in humans remains limited. Here, periodic EEG power features and aperiodic components were examined from longitudinal EEGs collected 592 healthy 2–44 month-old infants, revealing age-dependent nonlinear changes suggestive distinct milestones maturation. Developmental peaks include (1) the presence then absence a 9-10 Hz alpha peak between 2-6 months, (2) high beta (20-30 Hz) 4-18 (3) emergence low (12-20 some infants after six months age. We hypothesized that may reflect maturation thalamocortical network development. Infant anesthesia studies observe GABA-modulating anesthetics do not induce mediated frontal coherence until 10-12 Using small cohort ( n = 23) with before during anesthesia, we provide preliminary evidence have higher anesthesia-induced compared to those without peak.

Язык: Английский

Процитировано

17

The maturation of aperiodic EEG activity across development reveals a progressive differentiation of wakefulness from sleep DOI Creative Commons
Jacopo Favaro,

Michele Colombo,

Ezequiel Mikulan

и другие.

NeuroImage, Год журнала: 2023, Номер 277, С. 120264 - 120264

Опубликована: Июль 1, 2023

During development, the brain undergoes radical structural and functional changes following a posterior-to-anterior gradient, associated with profound of cortical electrical activity during both wakefulness sleep. However, systematic assessment developmental effects on aperiodic EEG maturation across vigilance states is lacking, particularly regarding its topographical aspects. Here, in population 160 healthy infants, children teenagers (from 2 to 17 years, 10 subjects for each year), we investigated development Specifically, parameterized shape background Power Spectral Density (PSD) by means spectral exponent offset; reflects rate exponential decay power over increasing frequencies offset an estimate y-intercept PSD. We found that sleep caused EEG-PSD rotate opposite directions: PSD showed flatter reduced while it steeper higher as becomes deeper. deep (N2, N3) only decreased age, indexing broad-band voltage reduction. As result, difference between values those light (N1) increased suggesting progressive differentiation from activity, most prominent frontal regions, latest complete maturation. Notably, stages were entirely separated values, consistently ages line previous findings adults. Concerning location showing steepest largest shifted posterior anterior regions age. This shift, evident sleep, paralleled migration slow wave was consistent neuroanatomical cognitive development. Overall, distinguishes regardless age; while, reveals postero-anterior Our study could help interpret due pathological conditions may elucidate neurophysiological processes underlying

Язык: Английский

Процитировано

23

Tracking the neurodevelopmental trajectory of beta band oscillations with optically pumped magnetometer-based magnetoencephalography DOI Creative Commons
Lukas Rier, Natalie Rhodes, Daisie Pakenham

и другие.

eLife, Год журнала: 2024, Номер 13

Опубликована: Фев. 16, 2024

Neural oscillations mediate the coordination of activity within and between brain networks, supporting cognition behaviour. How these processes develop throughout childhood is not only an important neuroscientific question but could also shed light on mechanisms underlying neurological psychiatric disorders. However, measuring neurodevelopmental trajectory has been hampered by confounds from instrumentation. In this paper, we investigate suitability a disruptive new imaging platform - optically pumped magnetometer-based magnetoencephalography (OPM-MEG) to study during development. We show how unique 192-channel OPM-MEG device, which adaptable head size robust participant movement, can be used collect high-fidelity electrophysiological data in individuals aged 2 34 years. Data were collected somatosensory task, measured both stimulus-induced modulation beta sensory cortex, whole-brain connectivity, showing that modulate significantly with age. Moreover, pan-spectral bursts drive task-induced modulation, their probability occurrence spectral content change Our results offer insights into developmental provide clear evidence ideal for studying electrophysiology neurodevelopment.

Язык: Английский

Процитировано

9

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

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 68, С. 101402 - 101402

Опубликована: Июнь 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

Язык: Английский

Процитировано

7