Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations

Neuroinformatics, Год журнала: 2022, Номер 20(4), С. 991 - 1012

Опубликована: Апрель 7, 2022

Electrophysiological power spectra typically consist of two components: An aperiodic part usually following an 1/f law [Formula: see text] and periodic components appearing as spectral peaks. While the investigation parts, commonly referred to neural oscillations, has received considerable attention, study only recently gained more interest. The is quantified by center frequencies, powers, bandwidths, while parameterized y-intercept exponent text]. For either part, however, it essential separate components. In this article, we scrutinize frequently used methods, FOOOF (Fitting Oscillations & One-Over-F) IRASA (Irregular Resampling Auto-Spectral Analysis), that are from component. We evaluate these methods using diverse obtained with electroencephalography (EEG), magnetoencephalography (MEG), local field potential (LFP) recordings relating three independent research datasets. Each method each dataset poses distinct challenges for extraction both parts. specific features hindering separation highlighted simulations emphasizing features. Through comparison simulation parameters defined a priori, parameterization error quantified. Based on real simulated spectra, advantages discuss common challenges, note which impede separation, assess computational costs, propose recommendations how use them.

Язык: Английский

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Spectral parameterization for studying neurodevelopment: How and why

Developmental Cognitive Neuroscience, Год журнала: 2022, Номер 54, С. 101073 - 101073

Опубликована: Янв. 15, 2022

A growing body of literature suggests that the explicit parameterization neural power spectra is important for appropriate physiological interpretation periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why an imperative step developmental cognitive neuroscientists interested in cognition behavior across lifespan, as well how can be readily accomplished with automated spectral ("specparam") algorithm (Donoghue et al., 2020a). We provide annotated code parameterization, via specparam, Jupyter Notebook R Studio. then apply to EEG data childhood (N = 60; Mage 9.97, SD 0.95) illustrate its utility neuroscientists. Ultimately, may help us refine our understanding dynamic communication contributes normative aberrant lifespan. Data analysis manuscript are available on GitHub a supplement open-access specparam toolbox.

Язык: Английский

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Decomposing age effects in EEG alpha power

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

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Spectral Slope and Lempel–Ziv Complexity as Robust Markers of Brain States during Sleep and Wakefulness

eNeuro, Год журнала: 2024, Номер 11(3), С. ENEURO.0259 - 23.2024

Опубликована: Март 1, 2024

Nonoscillatory measures of brain activity such as the spectral slope and Lempel–Ziv complexity are affected by many neurological disorders modulated sleep. A multitude frequency ranges, particularly a broadband (encompassing full spectrum) narrowband approach, have been used especially for estimating slope. However, effects choosing different ranges not yet explored in detail. Here, we evaluated impact sleep stage task engagement (resting, attention, memory) on (30–45 Hz) (1–45 range 28 healthy male human subjects (21.54 ± 1.90 years) using within-subject design over 2 weeks with three recording nights days per subject. We strived to determine how states affect two perform comparison. In range, steepened, decreased continuously from wakefulness N3 REM sleep, however, was best discriminated Importantly, also differed between tasks during wakefulness. While engagement, flattened both ranges. Interestingly, only positively correlated performance. Our results show that sensitive indices state variations yields more information could be greater variety research questions than complexity, when is used.

Язык: Английский

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Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 67, С. 101404 - 101404

Опубликована: Июнь 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.

Язык: Английский

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Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence

Molecular Autism, Год журнала: 2022, Номер 13(1)

Опубликована: Май 12, 2022

Abstract Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in ASD. However, it not known whether the direction and degree of changes E–I ratio individuals with ASD correlates intellectual disability often associated this developmental disorder. The spectral slope aperiodic 1/f activity reflects at scale large populations may uncover its putative alternations without disability. Methods Herein, we used magnetoencephalography (MEG) to test would differentiate children average below–average (< 85) IQ. MEG was recorded rest eyes open/closed 49 boys aged 6–15 years IQ ranging from 54 128, age-matched typically developing (TD) boys. cortical source estimated using beamformer approach individual brain models. We then extracted by fitting a linear function log–log-scale power spectra high-frequency range. Results global averaged over all sources demonstrated high rank-order stability between two conditions. Consistent previous research, steeper eyes-closed than eyes-open condition flattened age. Regardless condition, below-average had flatter slopes either TD or above-average These group differences could be explained signal-to-noise periodic (alpha beta) activity. Limitations Further research needed find out observed ratios are characteristic other diagnostic groups. Conclusions atypically suggests shift toward hyper-excitation. can provide an accessible noninvasive biomarker for making objective judgments about treatment effectiveness people comorbid

Язык: Английский

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Combining aperiodic 1/f slopes and brain simulation: An EEG/MEG proxy marker of excitation/inhibition imbalance in Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Год журнала: 2023, Номер 15(3)

Опубликована: Июль 1, 2023

Accumulation and interaction of amyloid-beta (Aβ) tau proteins during progression Alzheimer's disease (AD) are shown to tilt neuronal circuits away from balanced excitation/inhibition (E/I). Current available techniques for noninvasive interrogation E/I in the intact human brain, example, magnetic resonance spectroscopy (MRS), highly restrictive (i.e., limited spatial extent), have low temporal resolution suffer ability distinguish accurately between different neurotransmitters complicating its interpretation. As such, these methods alone offer an incomplete explanation E/I. Recently, aperiodic component neural power spectrum, often referred literature as '1/f slope', has been described a promising scalable biomarker that can track disruptions potentially underlying spectrum clinical conditions, such autism, schizophrenia, or epilepsy, well developmental changes seen aging.

Язык: Английский

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Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes

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

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Novel pharmacological targets for GABAergic dysfunction in ADHD

Neuropharmacology, Год журнала: 2024, Номер 249, С. 109897 - 109897

Опубликована: Март 8, 2024

Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopment that affects approximately 5% of the population. The characterized by impulsivity, hyperactivity, and deficits in attention cognition, although symptoms vary across patients due to heterogenous polygenic nature disorder. Stimulant medications are standard care treatment for ADHD patients, their effectiveness has led dopaminergic hypothesis which signaling, especially cortical brain regions, mechanistically underly pathophysiology. Despite many individuals, almost one-third do not respond stimulant treatments long-term negative side effects these remain unclear. Emerging clinical evidence beginning highlight an important role dysregulated excitatory/inhibitory (E/I) balance ADHD. These E/I related functional abnormalities glutamate Gamma-Aminobutyric Acid (GABA) signaling brain, with increasing emphasis placed on GABAergic interneurons driving specific aspects Recent genome-wide association studies (GWAS) have also highlighted how genes associated GABA function mutated human populations ADHD, resulting generation several new genetic mouse models This review will discuss dysfunction underlies pathophysiology, receptors/proteins interneuron may be pharmacologically targeted treat subpopulations comorbidities symptom domains.

Язык: Английский

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Scale-free and oscillatory spectral measures of sleep stages in humans

Frontiers in Neuroinformatics, Год журнала: 2022, Номер 16

Опубликована: Окт. 3, 2022

Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-law corresponding to the aperiodic neural background activity, and spectral peaks present due oscillations. "Traditional" band-based methods ignore this fundamental structure EEG thus are susceptible misrepresenting underlying phenomena. A fitting method that attempts separate parameterize periodic components called "fitting oscillations one over f" (FOOOF) was applied set annotated whole-night recordings 251 subjects from wide age range (4-69 years). Most extracted parameters exhibited stage sensitivity; significant effects interactions stage, age, sex, brain region were found. The slope (describing steepness component) showed especially large consistent variability between stages (and low subjects), making it candidate indicator states. limitations arisen problems FOOOF also discussed, possible solutions for some them suggested.

Язык: Английский

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