Methodological considerations for studying neural oscillations

European Journal of Neuroscience, Journal Year: 2021, Volume and Issue: 55(11-12), P. 3502 - 3527

Published: July 16, 2021

Neural oscillations are ubiquitous across recording methodologies and species, broadly associated with cognitive tasks, amenable to computational modelling that investigates neural circuit generating mechanisms population dynamics. Because of this, offer an exciting potential opportunity for linking theory, physiology cognition. However, despite their prevalence, there many concerns-new old-about how our analysis assumptions violated by known properties field data. For investigations be properly interpreted, ultimately developed into mechanistic theories, it is necessary carefully consider the underlying methods we employ. Here, discuss seven methodological considerations analysing oscillations. The (1) verify presence oscillations, as they may absent; (2) validate oscillation band definitions, address variable peak frequencies; (3) account concurrent non-oscillatory aperiodic activity, which might otherwise confound measures; measure (4) temporal variability (5) waveform shape often bursty and/or nonsinusoidal, potentially leading spurious results; (6) separate spatially overlapping rhythms, interfere each other; (7) required signal-to-noise ratio obtaining reliable estimates. topic, provide relevant examples, demonstrate errors interpretation, suggestions these issues. We primarily focus on univariate measures, such power phase estimates, though issues can propagate multivariate measures. These recommendations a helpful guide measuring interpreting

Language: Английский

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Aperiodic and Periodic Components of Ongoing Oscillatory Brain Dynamics Link Distinct Functional Aspects of Cognition across Adult Lifespan

eNeuro, Journal Year: 2021, Volume and Issue: 8(5), P. ENEURO.0224 - 21.2021

Published: Sept. 1, 2021

Signal transmission in the brain propagates via distinct oscillatory frequency bands but aperiodic component, 1/f activity, almost always co-exists which most of previous studies have not sufficiently taken into consideration. We used a recently proposed parameterization model that delimits and components neural dynamics on lifespan aging data collected from human participants using magnetoencephalography (MEG). Since healthy underlines an enormous change local tissue properties, any systematic relationship activity would highlight their impact self-organized critical functional states. Furthermore, we patterns correlation between background metrics behavior to understand domain general effects activity. suggest age-associated global baseline alters states affecting information processing impacting critically all aspects cognition, e.g., metacognitive awareness, speed retrieval memory, cognitive load, accuracy recall through adult lifespan. This alteration crucially impacts features peak (PF) band power ratio, relates more selective during visual short-term memory (VSTM) task. In summary, this study leveraging big for first time tracks cross-sectional lifespan-associated periodic dynamical changes resting state demonstrate how normative PF, ratio (BR) measures provide insights about decline

Language: Английский

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Cortex-wide topography of 1/f-exponent in Parkinson’s disease

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

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The effect of aperiodic components in distinguishing Alzheimer’s disease from frontotemporal dementia

GeroScience, Journal Year: 2023, Volume and Issue: 46(1), P. 751 - 768

Published: Dec. 19, 2023

Language: Английский

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Associations between the resting EEG aperiodic slope and broad domains of cognitive ability

Psychophysiology, Journal Year: 2024, Volume and Issue: 61(6)

Published: Feb. 28, 2024

Abstract Recent studies suggest that the EEG aperiodic exponent (often represented as a slope in log–log space) is sensitive to individual differences momentary cognitive skills such selective attention and information processing speed. However, findings are mixed, most of have focused on just narrow range domains. This study used an archival dataset help clarify associations between resting features broad domains ability, which vary their demands processing. Undergraduates ( N = 166) age 18–52 years completed session well standardized, individually administered assessment ability included measures speed, working memory, higher‐order visuospatial verbal skills. A subsample n 110) also computerized reaction time task with three difficulty levels. Data reduction analyses revealed strong correlations offset across electrodes, single component accounted for ~60% variance slopes scalp, both eyes‐closed eyes‐open conditions. Structural equation models did not support relations specific tapping processes. secondary indicated was related higher overall performance, by general factor. latent variable significantly inversely exponents, faster times were associated steeper slopes. These relation

Language: Английский

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Neural and cognitive correlates of performance in dynamic multi-modal settings

Neuropsychologia, Journal Year: 2023, Volume and Issue: 180, P. 108483 - 108483

Published: Jan. 10, 2023

Language: Английский

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Aperiodic and Hurst EEG exponents across early human brain development: A systematic review

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

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Decoupling Measurements and Processes: On the Epiphenomenon Debate Surrounding Brain Oscillations in Field Potentials

Published: April 9, 2024

Various theories in neuroscience maintain that brain oscillations have an important role neuronal computation, but opposing views claim these macroscale dynamics are “exhaust fumes” of more relevant processes. Here, we argue the question whether epiphenomenal is ill-defined and cannot be productively resolved without further refinement. Toward end, outline a conceptual framework clarifies dispute along two axes: first, introduce distinction between measurement process to categorize theoretical status electrophysiology terms such as local field potentials oscillations. Second, consider relationships disambiguated terms, evaluating based on experimental computational evidence there exist causal or inferentially useful links them. This decomposes epiphenomenalism into set empirically tractable alternatives. Finally, demarcate conceptually distinct entity where either processes measurements exhibit periodic behavior, suggest oscillatory orchestrate neural computation by implementing temporal, spatial, frequency syntax. Overall, our reframed evaluation supports view electric fields—oscillating not—are causally relevant, their associated signals informative. More broadly, offer vocabulary starting point for scientific exchanges utility biological they capture.

Language: Английский

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Psilocybin increases optimistic engagement over time: computational modelling of behaviour in rats

Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 30, 2024

Language: Английский

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Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating

Frontiers in Psychology, Journal Year: 2022, Volume and Issue: 13

Published: Aug. 26, 2022

Predictive coding provides a compelling, unified theory of neural information processing, including for language. However, there is insufficient understanding how predictive models adapt to changing contextual and environmental demands the extent which such adaptive processes differ between individuals. Here, we used electroencephalography (EEG) track prediction error responses during naturalistic language processing paradigm. In Experiment 1, 45 native speakers English listened series short passages. Via speaker manipulation, introduced intra-experimental adjective order probabilities two-adjective noun phrases embedded within passages investigated whether reflect these contingencies. To this end, calculated novel measure speaker-based, surprisal ("speaker-based surprisal") as defined on trial-by-trial basis by clustering together adjectives with similar meaning. N400 amplitude at position critical second was an outcome error. Results showed that attuned speaker-based over course experiment, thus indicating listeners rapidly their local contingencies (here: probability one type following another when uttered particular speaker). Strikingly, occurs in spite wealth prior linguistic experience participants bring laboratory. Model adaptation effects were strongest steep aperiodic (1/f) slope resting EEG low individual alpha frequency (IAF), idea density (ID) showing more complex pattern. These results replicated separate sample 40 2, employed highly design 1. Overall, our suggest individuals most strongly context-specific probabilistic information. Steep thought noise, turn may be associated higher gain control better cognitive control. Individuals able effectively dynamically reconfigure prediction-related networks meet current task demands. We conclude mechanisms are malleable dynamic, reflecting both affordances present environment well intrinsic capabilities individual.

Language: Английский

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