Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters

Martínez‐Cañada, Pablo; Panzeri, Stefano

doi:10.1007/978-3-030-86993-9_11

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…The power spectrum was computed in the same way as described in Section 3.5 (Power spectral density). The aperiodic slope has previously been shown to reflect changes in E/I balance [49, 52, 53], which could link the effect of caffeine, an antagonist of the inhibitory neurotransmitter adenosine, to changes in E/I balance in the brain. For ease of interpretation we report the negative slope (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…Our data provide the first evidence in support of this hypothesis by revealing that caffeine induces a flattening of the 1/f slope and a drop in the scaling exponent. Indeed, both modeling and experimental studies have shown that reductions in the 1/f slope (or the related scaling exponent and Hurst exponent) reflect an increase in E:I ratio [49,50,[52][53][54][55].…”

Section: Caffeine Ingestion Increasesmentioning

confidence: 99%

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Caffeine induces age-dependent increases in brain complexity and criticality during sleep

Thölke,

Arcand-Lavigne,

Lajnef

et al. 2024

Preprint

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Caffeine is the most widely consumed psychoactive stimulant worldwide. Yet important gaps persist in understanding its effects on the brain, especially during sleep. We analyzed sleep EEG in 40 subjects, contrasting 200mg of caffeine against a placebo condition, utilizing inferential statistics and machine learning. We found that caffeine ingestion led to an increase in brain complexity, a widespread flattening of the power spectrum’s 1/f-like slope, and a reduction in long-range temporal correlations. Being most prominent during non-REM sleep, these results suggest that caffeine shifts the brain towards a critical regime and more diverse neural dynamics. Interestingly, this was more pronounced in younger adults (20-27 years) compared to middle-aged participants (41-58 years) whose sleep brain dynamics were less affected by caffeine. Interpreting these data in the light of modeling and empirical work on EEG-derived measures of excitation-inhibition balance provides novel insights into the effects caffeine has on the sleeping brain.

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Section: Methodsmentioning

confidence: 99%

Section: Caffeine Ingestion Increasesmentioning

confidence: 99%

Caffeine induces age-dependent increases in brain complexity and criticality during sleep

Thölke,

Arcand-Lavigne,

Lajnef

et al. 2024

Preprint

View full text Add to dashboard Cite

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Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures

2021

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Electrical recordings of neural mass activity, such as local field potentials (LFPs) and electroencephalograms (EEGs), have been instrumental in studying brain function. However, these aggregate signals lack cellular resolution and thus are not easy to be interpreted directly in terms of parameters of neural microcircuits. Developing tools for a reliable estimation of key neural parameters from these signals, such as the interaction between excitation and inhibition or the level of neuromodulation, is important for both neuroscientific and clinical applications. Over the years, we have developed tools based on neural network modeling and computational analysis of empirical data to estimate neural parameters from aggregate neural signals. This review article gives an overview of the main computational tools that we have developed and employed to invert LFPs and EEGs in terms of circuit-level neural phenomena, and outlines future challenges and directions for future research.

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Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters

Cited by 2 publications

References 23 publications

Caffeine induces age-dependent increases in brain complexity and criticality during sleep

Caffeine induces age-dependent increases in brain complexity and criticality during sleep

Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures

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