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

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Feb. 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.

Language: Английский

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Time-evolving controllability of effective connectivity networks during seizure progression

Proceedings of the National Academy of Sciences, Journal Year: 2021, Volume and Issue: 118(5)

Published: Jan. 25, 2021

Over one third of the estimated 3 million people with epilepsy in US are medication resistant. Responsive neurostimulation from chronically implanted electrodes provides a promising treatment option and alternative to resective surgery. However, determining personalized optimal stimulation parameters, including when where intervene guarantee positive patient outcome, is major open challenge. Network neuroscience control theory offer useful tools that may guide improvements parameter selection for anomalous neural activity. Here we use novel method characterize dynamic controllability across consecutive effective connectivity (EC) networks based on regularized partial correlations between during onset, propagation, termination phases thirty-four seizures. We estimate correlation adjacency matrices one-second time windows intracranial electrocorticography recordings using Graphical Least Absolute Shrinkage Selection Operator (GLASSO). Average modal metrics calculated each resulting EC network track time-varying brain an evolving landscape conditionally dependent interactions. show average increases throughout seizure negatively correlated throughout. Furthermore, our results support hypothesis energy required drive seizure-free state ictal smallest onset; yet, find applying at onset zone not always be energetically favorable. Our work suggests low-complexity model time-evolving new insights developing improving strategies targeting suppression.

Language: Английский

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A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Jan. 21, 2021

Abstract Features of sleep were shown to reflect aging, typical sex differences and cognitive abilities humans. However, these measures are characterized by redundancy arbitrariness. Our present approach relies on the assumptions that spontaneous human brain activity as reflected scalp-derived electroencephalogram (EEG) during non-rapid eye movement (NREM) is arrhythmic, scale-free properties based power law scaling Fourier spectra with additional consideration rhythmic, oscillatory waves at specific frequencies, including spindles. Measures derived spectral intercept slope, well maximal peak amplitude frequency in spindle range, effectively reducing 191 4, which efficient characterizing known age-effects, sex-differences correlates EEG. Future clinical basic studies supposed be significantly empowered data reduction provided our approach.

Language: Английский

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Alterations in rhythmic and non‐rhythmic resting‐state EEG activity and their link to cognition in older age

NeuroImage, Journal Year: 2022, Volume and Issue: 268, P. 119810 - 119810

Published: Dec. 29, 2022

While many structural and biochemical changes in the brain have previously been associated with older age, findings concerning functional properties of neuronal networks, as reflected their electrophysiological signatures, remain rather controversial.These discrepancies might arise due to several reasons, including diverse factors determining general spectral slowing alpha frequency range well amplitude mixing between rhythmic non-rhythmic parameters.We used a large dataset ( N = 1703, mean age 70) comprehensively investigate age-related alterations multiple EEG biomarkers taking into account activity individual contributions cognitive performance.While we found strong evidence for an peak (IAF) decline did not observe significant relationship theta power while controlling IAF.Not only IAF but it was also positively interference resolution working memory task primarily right left temporal lobes suggesting its role information sampling.Critically, detect when 1/f slope, latter one showed alterations.These thus suggest that entanglement range, slope measures, explain inconsistencies reported literature.Finally, despite absence alterations, negatively speed processing frontal lobe no consistent performance.Our results demonstrate features, interplay, should be considered comprehensive assessment association activity, performance.

Language: Английский

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

Molecular Autism, Journal Year: 2022, Volume and Issue: 13(1)

Published: May 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

Language: Английский

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