Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

eLife, Год журнала: 2021, Номер 10

Опубликована: Окт. 21, 2021

A hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness this ‘roll-off’ approximated by the spectral exponent, which in invasively recorded neural populations reflects balance excitatory to inhibitory (E:I balance). Here, we first establish that exponent non-invasive electroencephalography (EEG) recordings highly sensitive general (i.e., anaesthesia-driven) changes E:I balance. Building on EEG as a viable marker E:I, then demonstrate sensitivity focus selective attention an experiment during participants detected targets simultaneous audio-visual noise. In addition these endogenous balance, exponents over auditory and visual sensory cortices also tracked stimulus exponents, respectively. Individuals’ degree stimulus–brain coupling predicted behavioural performance. Our results highlight rich information contained activity, providing window into diverse processes previously thought be inaccessible human recordings.

Язык: Английский

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Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth

Nature Neuroscience, Год журнала: 2023, Номер 26(4), С. 638 - 649

Опубликована: Март 27, 2023

Язык: Английский

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Coupling of pupil- and neuronal population dynamics reveals diverse influences of arousal on cortical processing

eLife, Год журнала: 2022, Номер 11

Опубликована: Фев. 8, 2022

Fluctuations in arousal, controlled by subcortical neuromodulatory systems, continuously shape cortical state, with profound consequences for information processing. Yet, how arousal signals influence population activity detail has so far only been characterized a few selected brain regions. Traditional accounts conceptualize as homogeneous modulator of neural across the cerebral cortex. Recent insights, however, point to higher specificity effects on different components and Here, we provide comprehensive account relationships between fluctuations neuronal human brain. Exploiting established link pupil size central performed concurrent magnetoencephalographic (MEG) pupillographic recordings large number participants, pooled three laboratories. We found cascade relative peak timing spontaneous dilations: Decreases low-frequency (2–8 Hz) temporal lateral frontal cortex, followed increased high-frequency (>64 mid-frontal regions, monotonic inverted U intermediate frequency-range (8–32 occipito-parietal Pupil-linked also coincided widespread changes structure aperiodic component activity, indicative excitation-inhibition balance underlying microcircuits. Our results novel basis studying modulation cognitive computations circuits.

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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Somatostatin interneurons control the timing of developmental desynchronization in cortical networks

Neuron, Год журнала: 2024, Номер 112(12), С. 2015 - 2030.e5

Опубликована: Апрель 9, 2024

Synchronous neuronal activity is a hallmark of the developing brain. In mouse cerebral cortex, decorrelates during second week postnatal development, progressively acquiring characteristic sparse pattern underlying integration sensory information. The maturation inhibition seems critical for this process, but interneurons involved in crucial transition network cortex remain unknown. Using vivo longitudinal two-photon calcium imaging period that precedes change from highly synchronous to decorrelated activity, we identify somatostatin-expressing (SST+) as modulators switch mice. Modulation SST+ cells accelerates or delays decorrelation cortical process involves regulating parvalbumin-expressing (PV+) interneurons. critically link inputs with local circuits, controlling neural dynamics while modulating other into nascent circuits.

Язык: Английский

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Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years

Journal of Neuroscience, Год журнала: 2024, Номер 44(13), С. e1332232024 - e1332232024

Опубликована: Фев. 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 (

Язык: Английский

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Regulation of circuit organization and function through inhibitory synaptic plasticity

Trends in Neurosciences, Год журнала: 2022, Номер 45(12), С. 884 - 898

Опубликована: Окт. 28, 2022

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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A critical period plasticity framework for the sensorimotor–association axis of cortical neurodevelopment

Trends in Neurosciences, Год журнала: 2023, Номер 46(10), С. 847 - 862

Опубликована: Авг. 28, 2023

To understand human brain development it is necessary to describe not only the spatiotemporal patterns of neurodevelopment but also neurobiological mechanisms that underlie them. Human neuroimaging studies have provided evidence for a hierarchical sensorimotor-to-association (S–A) axis cortical neurodevelopment. Understanding biological this program using traditional approaches has been challenging. Animal models used identify periods enhanced experience-dependent plasticity – 'critical periods' progress along hierarchies and are governed by conserved set promote then restrict plasticity. In review we hypothesize S–A in humans partly driven cascading maturation critical period mechanisms. We how recent advances vivo provide promising path toward testing hypothesis linking signals derived from non-invasive imaging

Язык: Английский

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