Synergistic association of Aβ and tau pathology with cortical neurophysiology and cognitive decline in asymptomatic older adults

Nature Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Language: Английский

---

Time-resolved parameterization of aperiodic and periodic brain activity

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

Published: Sept. 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

Language: Английский

---

Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease

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

Published: May 27, 2022

Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson’s disease (PD), first bidirectional BCI implants for adaptive deep stimulation (DBS) are now available. can extend utility DBS but impact neural source, computational methods and PD pathophysiology on performance unknown. This represents an unmet need future neurotechnology. To address this, we developed invasive brain-signal approach based intraoperative sensorimotor electrocorticography (ECoG) subthalamic LFP to predict grip-force, a representative movement application, 11 patients undergoing DBS. We demonstrate that ECoG is superior accurate grip-force decoding. Gradient boosted decision trees (XGBOOST) outperformed other model architectures. negatively correlated with motor impairment, which could be attributed beta bursts preparation period. highlights capacity encode vigor. Finally, connectomic analysis individual channels across by using their fingerprints. Our study provides neurophysiological framework aid individualized precision-medicine intelligent

Language: Английский

---

Modulatory dynamics of periodic and aperiodic activity in respiration-brain coupling

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Aug. 5, 2023

Bodily rhythms such as respiration are increasingly acknowledged to modulate neural oscillations underlying human action, perception, and cognition. Conversely, the link between aperiodic brain activity - a non-oscillatory reflection of excitation-inhibition (E:I) balance has remained unstudied. Aiming disentangle potential respiration-related dynamics periodic activity, we applied recently developed algorithms time-resolved parameter estimation resting-state MEG EEG data from two labs (total N = 78 participants). We provide evidence that fluctuations (1/f slope) phase-locked respiratory cycle, which suggests spontaneous state shifts at least partly influenced by peripheral bodily signals. Moreover, differential temporal in their coupling oscillatory raise possibility functional distinction way each component is related respiration. Our findings highlight role physiological influence on signalling.

Language: Английский

---

Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS

Brain stimulation, Journal Year: 2024, Volume and Issue: 17(2), P. 176 - 183

Published: Jan. 27, 2024

BackgroundCortical excitability measures neural reactivity to stimuli, usually delivered via Transcranial Magnetic Stimulation (TMS). Excitation/inhibition balance (E/I) is the ongoing equilibrium between excitatory and inhibitory activity of circuits. According some studies, E/I could be estimated in-vivo non-invasively through modeling electroencephalography (EEG) signals termed 'intrinsic excitability' measures. Several have been proposed (phase consistency in gamma band, sample entropy, exponent power spectral density 1/f curve, index extracted from detrend fluctuation analysis, alpha power). Intermittent theta burst stimulation (iTBS) primary motor cortex (M1) a non-invasive neuromodulation technique allowing controlled focal enhancement TMS cortical stimulated hemisphere.ObjectiveInvestigating what extent estimates scale with how they relate each other.MethodsM1 (TMS) several resting state EEG recordings were assessed before after iTBS cohort healthy subjects.ResultsEnhancement M1 excitability, as measured motor-evoked potentials (MEPs), phase high band correlated other. Other showed expected results, but no correlation or strong other.ConclusionsEEG offer an intriguing opportunity map non-invasively, spatio-temporal resolution stimulus independent approach. While different may reflect diverse excitatory-inhibitory circuits, spatial synchrony measure that best captures changes cortex.

Language: Английский

---

Disentangling Rhythmic and Aperiodic Neural Activity: Investigating the Role of GABA Modulation in Sensorimotor Beta Oscillations

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Beta oscillations (13–30 Hz) in the sensorimotor cortex are fundamental to motor control and disrupted disorders such as Parkinson’s disease stroke. Animal studies pharmacological research humans have implicated GABAergic mechanisms modulating these oscillations. Here, we explored impact of modulation on beta using magnetoencephalography (MEG) during a finger abduction task, with participants administered gaboxadol zolpidem, two GABA-A positive allosteric modulators. We combined traditional oscillatory analyses spectral parametrisation methods separate periodic aperiodic neural components. Time-frequency representations (TFRs) showed that induced stronger dynamics than leading deeper desynchronisation movement more pronounced post-movement rebound. When accounting for activity, modest effects limited initiation, increased power onset but no significant In contrast, zolpidem significantly enhanced altered components, suggesting differential influences excitation-inhibition balance. These results underscore necessity distinguishing between signals measures improve interpretation data.

Language: Английский

---

In-silico EEG biomarkers of reduced inhibition in human cortical microcircuits in depression

PLoS Computational Biology, Journal Year: 2023, Volume and Issue: 19(4), P. e1010986 - e1010986

Published: April 10, 2023

Reduced cortical inhibition by somatostatin-expressing (SST) interneurons has been strongly associated with treatment-resistant depression. However, due to technical limitations it is impossible establish experimentally in humans whether the effects of reduced SST interneuron on microcircuit activity have signatures detectable clinically-relevant brain signals such as electroencephalography (EEG). To overcome these limitations, we simulated resting-state and EEG using detailed models human microcircuits normal (healthy) or (depression), found that depression exhibited increased theta, alpha low beta power (4–16 Hz). The changes involved a combination an aperiodic broadband periodic theta components. We then demonstrated specificity showing they were distinct from those corresponding parvalbumin-expressing (PV) inhibition. Our study thus links level features microcircuits, which can serve better identify mechanistic subtypes EEG, non-invasively monitor modulation

Language: Английский

---

The Temporal Dynamics of Aperiodic Neural Activity Track Changes in Sleep Architecture

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 26, 2024

Abstract The aperiodic (1/f-like) component of electrophysiological data - whereby power systematically decreases with increasing frequency, as quantified by the exponent has been shown to differentiate sleep stages. Earlier work, however, typically focused on measuring across a narrow frequency range. In this we sought further investigate activity during extending these analyses broader ranges and considering alternate model definitions. This included ‘knees’ in component, which reflect bends spectrum, indicating change exponent. We also evaluate temporal dynamics sleep. To do so, analyzed from two sources: intracranial EEG (iEEG) 106 epilepsy patients high-density 17 healthy individuals, measured activity, explicitly comparing different forms. doing find that fitting broadband models incorporating ‘knee’ feature effectively captures sleep-stage-dependent differences well relate stage transitions responses external stimuli. particular, knee parameter shows stage-specific variation, suggesting an interpretation varying timescales These results demonstrate examining more complex reveals novel insights interpretations for understanding neural

Language: Английский

---

Aperiodic and Hurst EEG exponents across early human brain development: A systematic review

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 68, P. 101402 - 101402

Published: June 7, 2024

In electroencephalographic (EEG) data, power-frequency slope exponents (1/f_β) can provide non-invasive markers of in vivo neural activity excitation-inhibition (E:I) balance. E:I balance may be altered neurodevelopmental conditions; hence, understanding how 1/f β evolves across infancy/childhood has implications for developing early assessments/interventions. This systematic review (PROSPERO-ID: CRD42023363294) explored the maturation (0-26 yrs) resting-state EEG measures (aperiodic [AE], power law [PLE] and Hurst [HE] exponents), including studies containing ≥1 ≥10 typically participants. Five databases (including Embase Scopus) were searched during March 2023. Forty-two identified (Nparticipants=3478). Risk bias was assessed using Quality Assessment with Diverse Studies tool. Narrative synthesis HE data suggests non-stationary occurs throughout development. Age-related trends complex, rapid decreases AEs infancy heterogenous changes thereafter. Regionally, AE maxima shifted developmentally, potentially reflecting spatial maturing brain connectivity. work highlights importance further characterising development to better understand shapes cognitive

Language: Английский

---

Who says you are so sick? An investigation on individual susceptibility to cybersickness triggers using EEG, EGG and ECG

IEEE Transactions on Visualization and Computer Graphics, Journal Year: 2024, Volume and Issue: 30(5), P. 2379 - 2389

Published: March 4, 2024

In this research paper, we conducted a study to investigate the connection between three objective measures: Electrocardiogram(ECG), Electrogastrogram (EGG), and Electroencephalogram (EEG), individuals' susceptibility cybersickness. Our primary was identify which of these factors plays central role in causing discomfort when experiencing rotations along different axes: Roll, Pitch, Yaw. This involved 35 participants who were tasked with destroying asteroids using their eye gaze while undergoing passive four separate sessions. The results, combined subjective measurements (specifically, Fast motion sickness questionnaire (FMS) Simulator (SSQ) score), demonstrated that EGG superior detecting symptoms associated nausea. As for ECG measurements, our observations did reveal significant changes Heart Rate Variability (HRV) parameters. However, caution against relying solely on as dependable indicator assessing extent Most notably, EEG signals emerged crucial resource discerning individual differences related rotational axes. findings not only context periodic activities but also underscored potential aperiodic severity cybersickness an individual's triggers.

Language: Английский

---