Advanced qEEG analyses discriminate between dementia subtypes

Journal of Neuroscience Methods, Год журнала: 2024, Номер 409, С. 110195 - 110195

Опубликована: Июнь 16, 2024

Язык: Английский

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Aperiodic activity indexes neural hyperexcitability in generalized epilepsy

eNeuro, Год журнала: 2024, Номер unknown, С. ENEURO.0242 - 24.2024

Опубликована: Авг. 13, 2024

Generalized epilepsy (GE) encompasses a heterogenous group of hyperexcitability disorders that clinically manifest as seizures. At the whole-brain level, distinct seizure patterns well interictal epileptic discharges (IEDs) reflect key signatures in magneto- and electroencephalographic (M/EEG) recordings. Moreover, it had been suggested aperiodic activity, specifically slope 1/ƒ x decay function power spectrum, might index neural excitability. However, remained unclear if encountered at cellular level directly translates to putative large-scale excitability signatures, amenable M/EEG. In order test whether spectrum is altered hyperexcitable states, we recorded resting state MEG from male female GE patients (n = 51; 29 females; 28.82 ± 12.18 years; mean SD) age-matched healthy controls 49; 22 32.10 12.09 years). We parametrized spectra using FOOOF separate oscillatory activity systematically patients. further identified IEDs quantify temporal dynamics around overt activity. The results demonstrate indexes especially during epochs when no were present (p 0.0130, d 0.52). Upon IEDs, circuits transiently shifted less excitable network 0.001, 0.68). sum, these uncover background based on current brain does not rely presence waveforms. Significance Statement It long suspected electric disorders, such epilepsy. To date, how pathologic can be quantified. Kopf et al. hyperexcitability, absent; hence, providing novel non-invasively biomarker possibly reflects

Язык: Английский

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Changes in electrophysiological aperiodic activity during cognitive control in Parkinson’s disease

Brain Communications, Год журнала: 2024, Номер 6(5)

Опубликована: Янв. 1, 2024

Cognitive symptoms in Parkinson's disease are common and can significantly affect patients' quality of life. Therefore, there is an urgent clinical need to identify a signature derived from behavioural and/or neuroimaging indicators that could predict which patients at increased risk for early rapid cognitive decline. Recently, converging evidence identified aperiodic activity the EEG reflects meaningful physiological information associated with age, development, perceptual states or pathologies. In this study, we aimed investigate during control characterize its possible association behaviour. Here, recorded high-density 30 healthy controls Simon task. We analysed task-related data context activation-suppression model extracted parameters (offset, exponent) both scalp source levels. Our results showed lower performances as well higher offsets parieto-occipital areas, suggesting excitability disease. A small congruence effect on pre- post-central brain areas was also found, possibly task execution. Significant differences between resting-state, post-stimulus phases were seen across whole brain, confirmed observed changes linked No correlation found behaviour features. findings provide characterized by greater offsets, differ depending arousal state. However, our do not support hypothesis behaviour-related related changes. Overall, study highlights importance considering contributions disorders further investigating relationship

Язык: Английский

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A systematic review of aperiodic neural activity in clinical investigations

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Окт. 15, 2024

Abstract In the study of neuro-electrophysiological recordings, aperiodic neural activity – with no characteristic frequency has increasingly become a common feature study. This interest rapidly extended to clinical work, many reports investigating from patients broad range disorders. work typically seeks evaluate as putative biomarker relating diagnosis or treatment response, and/or potential marker underlying physiological activity. There is thus far clear consensus on if and how relates disorders, nor best practices for it in research. To address this, this systematic literature review, following PRISMA guidelines, examines electrophysiological recordings human psychiatric neurological finding 143 across 35 distinct Reports within disorders are summarized current findings examine what can be learned pertains analysis, interpretations, overall utility investigations. Aperiodic commonly reported relate diagnoses, 31 reporting significant effect diagnostic related studies. However, there variation consistency results heterogeneity patient groups, disease etiologies, status arising themes different Overall, variability results, potentially confounding covariates, limitations understanding suggests further needed before established pathological physiology. Finally, series recommendations proposed, based findings, limitations, key discussion topics assist guiding productive future studying Project Repository The project repository contains code & data project: https://github.com/TomDonoghue/AperiodicClinical

Язык: Английский

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Aperiodic Pupil Fluctuations at Rest Predict Orienting of Visual Attention

Psychophysiology, Год журнала: 2025, Номер 62(1)

Опубликована: Янв. 1, 2025

ABSTRACT The aperiodic exponent of the power spectrum signals in several neuroimaging modalities has been found to be related excitation/inhibition balance neural system. Leveraging rich temporal dynamics resting‐state pupil fluctuations, present study investigated association between fluctuations and attentional processing. In separate phases, we recorded participants' size during resting state assessed their orienting using Posner cueing tasks with different cue validities (i.e., 100% 50%). We significant correlations both microsaccadic behavioral effects. Critically, this relationship was particularly evident 50% cue‐validity condition rather than condition. responses mediated response. Further analysis showed that predicted self‐rated hyperactivity/impulsivity trait across individuals, suggesting its potential as a marker deficits. These findings highlight information contained provide new approach assessing

Язык: Английский

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Euclidean Distance based Adaptive Sampling Algorithm for Disassociating Transient and Oscillatory Components of Signals

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Neural signals encode information through oscillatory and transient components. The component captures rapid, non-rhythmic changes in response to internal or external events, while the reflects rhythmic patterns critical for processing sensation, action, cognition. Current spectral time-domain methods often struggle distinguish two components, particularly under sharp transitions, leading interference leakage. This study introduces a novel adaptive smoothing algorithm that isolates components by dynamically up-sampling signal regions with abrupt changes. approach leverages Euclidean distance-based thresholds refine sampling applies customized techniques, preserving details minimizing interference. Tested on both synthetic recorded local field potential data, outperformed conventional handling steep as demonstrated lower mean-square error improved separation. Our findings highlight algorithm's enhance neural analysis more accurately separating paving way precise characterization of dynamics research clinical applications.

Язык: Английский

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Electrophysiological correlates of dynamic cycling in Parkinson’s disease

Clinical Neurophysiology, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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Aperiodic activity as a biomarker of seizures and neuromodulation

Brain stimulation, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Mounting evidence suggests the efficacy of neuromodulation for epilepsy is mediated by network remodeling and neural state. Epilepsy related pathophysiology has been associated with variation in aperiodic exponent, which describes inverse relationship between frequency power linked to synaptic-level processes. This study sought assess relationships periodic activity, disease state, responsive stimulation. Chronic intracranial EEG was recorded from 13 patients undergoing neurostimulation epilepsy. Recordings containing clinician-annotated seizures, stimulation triggered device-detected interictal epileptiform activity (IEA), stimulation-free periods were analyzed. Multidien IEA cycles identified, recordings classified cycle phase. Power spectra parameterized into components using an established algorithm. The exponent larger during seizures pre-stimulation intervals than recordings, decreased following A rise observed 12 hours preceding seizures. Larger rising phase multidien cycles. Periodic alpha beta intervals, high-risk (rising and/or peak) phases, whereas theta gamma exhibited variable relationships. did not change after or before any studied band. positively instantaneous state severity negatively therapeutic Aperiodic may emerge as a practical biomarker treatment response guide

Язык: Английский

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Cortical Effects of Dopamine Replacement Account for Clinical Response Variability in Parkinson's Disease

Movement Disorders, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Abstract Background Individual variability in clinical response to dopamine replacement therapy (DRT) is a key barrier efficacious treatment for patients with Parkinson's disease (PD). A better understanding of the neurobiological sources such interindividual differences necessary personalize DRT prescribing, inform future interventions, and motivate translational research. Objective One potential source this an unintended secondary activation extra‐nigrostriatal systems by DRT, particularly neocortex. Our goal was determine effects cortical system PD. Methods We used pharmaco‐magnetoencephalography data collected from PD (N = 17, N HC 20) before after map their neurophysiological responses dopaminergic pharmacotherapy. By combining these maps normative atlases densities, we linked variable enhancement rhythmic activity dopamine‐rich regions determined its relevance. Results found beta‐rhythmic cortex that are expressed variably across individuals. Importantly, who exhibited larger beta showed smaller improvement indicating individual medication Conclusions conclude findings our basis often seen PD, indicate methodological approach may be useful data‐driven contextualization on neurophysiology research applications. © 2025 The Author(s). Movement Disorders published Wiley Periodicals LLC behalf International Parkinson Disorder Society.

Язык: Английский

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Long-Term Analysis of Subthalamic Local Field Potentials (Lfp) in Parkinson's Disease: Insights into Circadian Rhythms, Medication, and Personalized Treatment Effects

Опубликована: Янв. 1, 2025

Язык: Английский

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