Advances in human intracranial electroencephalography research, guidelines and good practices

NeuroImage, Год журнала: 2022, Номер 260, С. 119438 - 119438

Опубликована: Июль 2, 2022

Since the second half of twentieth century, intracranial electroencephalography (iEEG), including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG), has provided an intimate view into human brain. At interface between fundamental research clinic, iEEG provides high temporal resolution spatial specificity but comes with constraints, such as individual's tailored sparsity electrode sampling. Over years, researchers in neuroscience developed their practices to make most approach. Here we offer a critical review didactic framework for newcomers, well addressing issues encountered by proficient researchers. The scope is threefold: (i) common research, (ii) suggest potential guidelines working data answer frequently asked questions based on widespread practices, (iii) current neurophysiological knowledge methodologies, pave way good practice standards research. organization this paper follows steps processing. first section contextualizes collection. focuses localization electrodes. third highlights main pre-processing steps. fourth presents signal analysis methods. fifth discusses statistical approaches. sixth draws some unique perspectives Finally, ensure consistent nomenclature throughout manuscript align other guidelines, e.g., Brain Imaging Data Structure (BIDS) OHBM Committee Best Practices Analysis Sharing (COBIDAS), provide glossary disambiguate terms related

Язык: Английский

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The aperiodic exponent of subthalamic field potentials reflects excitation/inhibition balance in Parkinsonism

eLife, Год журнала: 2023, Номер 12

Опубликована: Фев. 22, 2023

Periodic features of neural time-series data, such as local field potentials (LFPs), are often quantified using power spectra. While the aperiodic exponent spectra is typically disregarded, it nevertheless modulated in a physiologically relevant manner and was recently hypothesised to reflect excitation/inhibition (E/I) balance neuronal populations. Here, we used cross-species vivo electrophysiological approach test E/I hypothesis context experimental idiopathic Parkinsonism. We demonstrate dopamine-depleted rats that exponents at 30–100 Hz subthalamic nucleus (STN) LFPs defined changes basal ganglia network activity; higher tally with lower levels STN neuron firing tipped towards inhibition. Using STN-LFPs recorded from awake Parkinson’s patients, show accompany dopaminergic medication deep brain stimulation (DBS) STN, consistent untreated manifesting reduced inhibition hyperactivity STN. These results suggest Parkinsonism reflects might be candidate biomarker for adaptive DBS.

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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Dark Brain Energy: Toward an Integrative Model of Spontaneous Slow Oscillations

Physics of Life Reviews, Год журнала: 2025, Номер 52, С. 278 - 297

Опубликована: Фев. 7, 2025

Язык: Английский

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Posture‐Dependent Modulation of Interoceptive Processing in Young Male Participants: A Heartbeat‐Evoked Potential Study

European Journal of Neuroscience, Год журнала: 2025, Номер 61(4)

Опубликована: Фев. 1, 2025

ABSTRACT Interoception, the internal perception of bodily states such as heartbeat and hunger, plays a crucial role in shaping cognitive emotional states. Since postural control affects processing, exploring effects on interoception could help uncover neural mechanisms underlying its cognition emotion. In this study, we aimed to investigate how different postures affect by using heartbeat‐evoked potentials (HEPs), which reflect cortical processing cardiac signals. Two experiments were conducted; Experiment 1 involved 47 healthy male participants comparing sitting standing postures, 2 24 stable unstable conditions. HEPs analyzed cluster‐based permutation analysis identify statistically significant spatiotemporal clusters. 1, clusters identified over central electrodes (Cz, C1, C2, FCz, FC1) within post‐R‐wave interval 304–572 ms, revealing significantly lower HEP amplitudes during compared [ W = 80, p < 0.001, r 0.62]. 2, t (20) 2.9, 0.0099, d Furthermore, found no correlations between changes physiological activity periodic aperiodic brain activity. These findings suggest differences modulate interoceptive with attenuating amplitudes, probably because redistribution attentional resources from somatosensory (proprioceptive) vestibular necessary for maintaining posture. This study provides insights into posture–interoception interaction.

Язык: Английский

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Time-resolved parameterization of aperiodic and periodic brain activity

eLife, Год журнала: 2022, Номер 11

Опубликована: Сен. 8, 2022

Macroscopic neural dynamics comprise both aperiodic and periodic signal components. Recent advances in parameterizing power spectra offer practical tools for evaluating these features separately. Although signals vary dynamically express non-stationarity relation to ongoing behaviour perception, current methods yield static spectral decompositions. Here, we introduce Spectral Parameterization Resolved Time (SPRiNT) as a novel method decomposing complex into elements time-resolved manner. First, demonstrate, with naturalistic synthetic data, SPRiNT's capacity reliably recover time-varying features. We emphasize specific strengths compared other time-frequency parameterization approaches based on wavelets. Second, use SPRiNT illustrate how fluctuate across time empirical resting-state EEG data (n=178) relate the observed changes parameters over participants' demographics behaviour. Lastly, demonstrate movement intracranial recordings rodents. foresee responding growing neuroscientific interests of advancing quantitation at natural scales

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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Good scientific practice in EEG and MEG research: Progress and perspectives

NeuroImage, Год журнала: 2022, Номер 257, С. 119056 - 119056

Опубликована: Март 10, 2022

Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, guidelines that help scientists produce work is of the highest quality at any given time, efficiently share with community for further scrutiny or utilization. For experimental research using magneto- electroencephalography (MEEG), GSP includes specific standards technical competence, which are periodically updated adapted new findings. However, also needs be regularly revisited in a broader light. At LiveMEEG 2020 conference, reflection on was fostered included explicitly documented advances, but emphasized intangible GSP: general awareness personal, organizational, societal realities how they can influence MEEG research. This article provides an extensive report most contributions literature, additional aim synthesize ongoing cultural changes GSP. It first covers respect cognitive biases logical fallacies, pre-registration as tool avoid those other early pitfalls, number resources enable collaborative reproducible approach minimize misconceptions. Second, it data acquisition, analysis, reporting, sharing, including tools frameworks support work. Finally, considered light ethical implications resulting responsibility have engage challenges. Considering among things benefits peer review open access all stages, need coordinate larger international projects, complexity subject matter, today's prioritization fairness, privacy, environment, we find current tends favor collective cooperative work, reasons.

Язык: Английский

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Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood

NeuroImage, Год журнала: 2023, Номер 269, С. 119925 - 119925

Опубликована: Фев. 3, 2023

Age-related structural and functional changes that occur during brain development are critical for cortical functioning. Previous electroencephalography (EEG) magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses uncovered age-related trends reflect perceptual, cognitive, behavioural states as well their underlying neurophysiology. The aim current study was to investigate change in aperiodic periodic alpha activity across a large sample pre- school-aged children (N = 502, age range 4 -11-years-of-age). Power were extracted from baseline EEG recordings (eyes closed, eyes open) each participant parameterized into derive offset exponent parameters oscillatory peak frequency associated estimates. Multilevel models run condition-dependent these measures. We found quadratic effects both exponent. In addition, we observed increases function age. Aperiodic measures larger magnitude closed compared open condition. Taken together, results advance our understanding maturational patterns/trajectories early- middle-childhood.

Язык: Английский

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Resting-state oscillations reveal disturbed excitation–inhibition ratio in Alzheimer’s disease patients

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Май 7, 2023

An early disruption of neuronal excitation-inhibition (E-I) balance in preclinical animal models Alzheimer's disease (AD) has been frequently reported, but is difficult to measure directly and non-invasively humans. Here, we examined known novel neurophysiological measures sensitive E-I patients across the AD continuum. Resting-state magnetoencephalography (MEG) data 86 amyloid-biomarker-confirmed subjects continuum (17 diagnosed with subjective cognitive decline, 18 mild impairment (MCI) 51 dementia due probable (AD dementia)), 46 healthy elderly 20 young control were reconstructed source-space. was investigated by detrended fluctuation analysis (DFA), a functional E/I (fE/I) algorithm, aperiodic exponent power spectrum. We found disrupted ratio specifically, lower DFA, shift towards higher excitation, fE/I exponent. Healthy showed ratios (< 1.0) than reported previous literature, not explained age or choice an arbitrary threshold parameter, which warrants caution interpretation results. Correlation analyses that DFA (E-I imbalance) (more excitation) associated worse score patients. In contrast, hippocampi MCI score. This MEG-study imbalance, likely increased dementia, stage To accurately determine direction balance, validations currently used markers additional vivo are required.

Язык: Английский

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