Aperiodic neural activity reflects metacontrol

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(12), P. 7941 - 7951

Published: March 16, 2023

Abstract Higher-level cognitive functions are mediated via complex oscillatory activity patterns and its analysis is dominating neuroscience research. However, besides (period) activity, also aperiodic constitutes neural dynamics, but relevance for higher-level only beginning to be understood. The present study examined whether the broadband EEG reflects principles of metacontrol. Metacontrol conceptualizes it more useful engage in flexible processing incoming information or shield processes from (persistence-heavy processing). We behavioral data a sample n = 191 healthy participants performing Simon Go/NoGo task that can assumed induce different metacontrol states (persistence-biased vs. flexibility-biased). Aperiodic was estimated using FOOOF toolbox power spectrum. There higher exponent offset NoGo trials compared with Go trials, incongruent (Go) congruent trials. Thus, increases during persistence-heavy processing, decreases flexibility-heavy processing. These findings link features signal concepts describing dynamics how control modes applied. Therefore, substantially extends importance understanding functions.

Language: Английский

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Beyond the serotonin deficit hypothesis: communicating a neuroplasticity framework of major depressive disorder

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: 29(12), P. 3802 - 3813

Published: May 31, 2024

Language: Английский

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Tracing conflict-induced cognitive-control adjustments over time using aperiodic EEG activity

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(5)

Published: April 20, 2024

Cognitive-control theories assume that the experience of response conflict can trigger control adjustments. However, while some approaches focus on adjustments impact selection present (in trial N), other in next upcoming (N + 1). We aimed to trace over time by quantifying cortical noise means fitting oscillations and one f algorithm, a measure aperiodic activity. As predicted, trials increased exponent large sample 171 healthy adults, thus indicating reduction. While this adjustment was visible N already, it did not affect before trial. This suggests do ongoing response-selection processes but prepare system for tighter interpret findings terms conflict-induced switch from metacontrol flexibility persistence, accompanied or even implemented reduction noise.

Language: Английский

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Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 2, 2025

Abstract During memory formation, the hippocampus is presumed to represent content of stimuli, but how it does so unknown. Using computational modelling and human single-neuron recordings, we show that more precisely hippocampal spiking variability tracks composite features each individual stimulus, better those stimuli are later remembered. We propose moment-to-moment may provide a new window into constructs memories from building blocks our sensory world.

Language: Английский

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Multiple brain activation patterns for the same perceptual decision-making task

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 20, 2025

Meaningful variation in internal states that impacts cognition and behavior remains challenging to discover characterize. Here we leverage trial-to-trial fluctuations the brain-wide signal recorded using functional MRI test if distinct sets of brain regions are activated on different trials when accomplishing same task. Across three perceptual decision-making experiments, estimate activations for each trial. We then cluster based their similarity modularity-maximization, a data-driven classification method. In experiment, find multiple but stable subtypes trials, suggesting task can be accomplished presence widely varying activation patterns. Surprisingly, all one exhibits strong default mode network, which is typically thought decrease activity during tasks require externally focused attention. The remaining characterized by task-positive areas. network subtype behavioral signatures similar other exhibiting with regions. These findings demonstrate through Here, authors show uses patterns perform Even often inactive focus, plays role.

Language: Английский

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Stability of spectral estimates in resting-state magnetoencephalography: Recommendations for minimal data duration with neuroanatomical specificity

NeuroImage, Journal Year: 2021, Volume and Issue: 247, P. 118823 - 118823

Published: Dec. 16, 2021

The principle of resting-state paradigms is appealing and practical for collecting data from impaired patients special populations, especially if collection times can be minimized. To achieve this goal, researchers need to ensure estimated signal features interest are robust. In electro- magnetoencephalography (EEG, MEG) we not aware any studies the minimal length required yield a robust one-session snapshot frequency-spectrum derivatives that typically used characterize complex dynamics brain's resting-state. We aimed fill knowledge gap by studying stability common spectral measures MEG source time series obtained large samples single-session recordings shared repositories featuring different recording conditions instrument technologies (OMEGA: N = 107; Cam-CAN: 50). discovered rhythmic arrhythmic properties intrinsic brain activity robustly in most cortical regions when derived relatively short segments 30-s 120-s data, regardless technology paradigm. Using an adapted leave-one-out approach Bayesian analysis, also provide evidence over unaffected age, sex, handedness, general cognitive function. summary, sessions sufficient estimates frequency-defined during This study may help guide future empirical designs field, particularly minimized, such as with patient or populations.

Language: Английский

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Neural attentional-filter mechanisms of listening success in middle-aged and older individuals

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: July 26, 2021

Abstract Successful listening crucially depends on intact attentional filters that separate relevant from irrelevant information. Research into their neurobiological implementation has focused two potential auditory filter strategies: the lateralization of alpha power and selective neural speech tracking. However, functional interplay strategies potency to index success in an ageing population remains unclear. Using electroencephalography a dual-talker task representative sample listeners (N = 155; age=39–80 years), we here demonstrate often-missed link single-trial behavioural outcomes back trial-by-trial changes filtering. First, observe preserved attentional–cue-driven modulation both across chronological age hearing levels. Second, states vary independently one another, demonstrating complementary solutions spatial attention. Stronger tracking but not boosts trial-to-trial performance. Our results highlight translational as individualized marker adaptive behaviour.

Language: Английский

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Representational drift as a window into neural and behavioural plasticity

Current Opinion in Neurobiology, Journal Year: 2023, Volume and Issue: 81, P. 102746 - 102746

Published: June 29, 2023

Language: Английский

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Liraglutide restores impaired associative learning in individuals with obesity

Nature Metabolism, Journal Year: 2023, Volume and Issue: 5(8), P. 1352 - 1363

Published: Aug. 17, 2023

Survival under selective pressure is driven by the ability of our brain to use sensory information advantage control physiological needs. To that end, neural circuits receive and integrate external environmental cues internal metabolic signals form learned associations, consequently motivating adapting behaviour. The dopaminergic midbrain plays a crucial role in learning adaptive behaviour particularly sensitive peripheral signals, including intestinal peptides, such as glucagon-like peptide 1 (GLP-1). In single-blinded, randomized, controlled, crossover basic human functional magnetic resonance imaging study relying on computational model process underlying behavioural responses, we show reduced when sensing impaired obesity, indexed insulin sensitivity (participants: N = 30 with normal sensitivity; 24 sensitivity). Treatment GLP-1 receptor agonist liraglutide normalizes associations men women obesity. Collectively, findings reveal activation modulates associative people obesity via its central effects within mesoaccumbens pathway. These provide evidence for how can act neuromodulators adapt body's state agonists work clinics.

Language: Английский

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Altered brain dynamics index levels of arousal in complete locked-in syndrome

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: July 20, 2023

Complete locked-in syndrome (CLIS) resulting from late-stage amyotrophic lateral sclerosis (ALS) is characterised by loss of motor function and eye movements. The absence behavioural indicators consciousness makes the search for neuronal correlates as possible biomarkers clinically ethically urgent. EEG-based measures brain dynamics such power-law exponent (PLE) Lempel-Ziv complexity (LZC) have been shown to explanatory power may provide indices patients with CLIS. Here, we validated PLE LZC (calculated in a dynamic way) benchmarks wide range arousal states across different reference (e.g., awake, sleep stages, ketamine, sevoflurane). We show tendency toward high low LZC, intra-subject fluctuations inter-subject variability cohort CLIS values graded along our data sets. In conclusion, changes indicate altered Specifically, are potentially relevant identify or diagnose level determine optimal time point treatment, including communication attempts.

Language: Английский

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