Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated DOI Creative Commons
Gonzalo Boncompte, Vicente Medel, Martín Irani

et al.

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

Published: Dec. 22, 2024

Abstract The aperiodic component of brain field potentials, like EEG, LFP and intracortical recordings, has shown to be a valuable tool in basic neuroscience clinical applications. Aperiodic activity is modeled as power law the spectral density, with exponent key parameter. Part interest this parameter lies its proposed role marker balance between excitatory inhibitory cortical activity. In theory, perfect would imply that same behaviour exists across all frequencies, however recent evidence suggested low high frequency ranges could present different exponents. To elucidate this, we systematically evaluated relation range parameters using human resting-state recordings from 62 patients. We employed two distinct estimation methods, Specparam IRASA. found were indeed dependent on range. Specifically, displayed, average, lower exponents (flatter density) than ranges. This was consistent for IRASA estimations compatible EEG. Given there currently no consensus single used either or neuroscience, our results show care should taken when comparing derived believe also encourage further research into possible roles estimated have reflecting aspects systems.

Language: Английский

Measurement of Excitation-Inhibition Imbalance in Autism spectrum Disorder Using EEG Proxy Markers: A Pilot Study DOI
Jiannan Kang,

Wenqin Mao,

Juanmei Wu

et al.

Clinical EEG and Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Autism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder characterized primarily by social impairments and repetitive behaviors. Imbalance in excitatory-inhibitory (E/I) activity within the central nervous system may be key mechanism underlying ASD. Electroencephalography (EEG) useful tool for recording brain electrical signals, reflecting of cortical neuron populations, estimating both global regional E/I balance. Various EEG methods can estimate balance, including non-periodic exponent, corrected alpha power, sample entropy, average spatial phase synchronization (ASPS), detrended fluctuation analysis (DFA) based on indices. However, research using proxy markers to assess imbalance autism limited, there no study indicating which method most sensitive. Therefore, this employed high-density acquisition collect data from relatively large autistic typically developing (TD) children. We computed used Coefficient Variation (CV) compare sensitivity five between two groups. The results indicated that exponent power spectra neural were more advantageous. findings provide theoretical support exploration biomarkers balance theory.

Language: Английский

Citations

0
Normative structural connectome constrains spreading transient brain activity in generalized epilepsy DOI Creative Commons
Jie Xia, Siqi Yang, Jiao Li

et al.

BMC Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: May 2, 2025

Language: Английский

Citations

0
Individualized Spectral Features in First-episode and Drug-naïve Major Depressive Disorder: Insights from Periodic and Aperiodic EEG Analysis. DOI
Jiaxin Li, Dongsheng Xiong, Chenyang Gao

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Compensatory Regulation of Excitation/Inhibition Balance in the Ventral Hippocampus: Insights from Fragile X Syndrome DOI Creative Commons
Costas Papatheodoropoulos

Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 363 - 363

Published: March 31, 2025

The excitation/inhibition (E/I) balance is a critical feature of neural circuits, which crucial for maintaining optimal brain function by ensuring network stability and preventing hyperexcitability. hippocampus exhibits the particularly interesting characteristics having different functions E/I profiles between its dorsal ventral segments. Furthermore, vulnerable to epilepsy implicated in Fragile X Syndrome (FXS), disorders associated with heightened possible deficits GABA-mediated inhibition. In epilepsy, shows susceptibility seizures, while FXS, recent evidence suggests differential alterations excitability inhibition regions. This article explores mechanisms underlying regulation, focusing on emphasizing that may confer homeostatic flexibility balance. Notably, adult FXS models enhanced GABAergic inhibition, resistance epileptiform activity, physiological pattern (sharp wave-ripples, SWRs), potentially representing adaptation. contrast, these more aberrant discharges displays altered SWRs. These findings highlight complex, region-specific nature disruptions neurological suggest possess unique compensatory mechanisms. Specifically, it proposed hippocampus, region most prone hyperexcitability, have adaptive capabilities at cellular levels maintain within normal range prevent transition hyperexcitability preserve function. Investigating responses their developmental trajectories offer novel insights into strategies mitigating imbalances other neuropsychiatric neurodevelopmental disorders.

Language: Английский

Citations

0
Aperiodic activity as a biomarker of seizures and neuromodulation DOI Creative Commons
David Satzer,

Lesley Kaye,

Steven Ojemann

et al.

Brain stimulation, Journal Year: 2025, Volume and Issue: unknown

Published: April 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

Language: Английский

Citations

0
A systematic review of aperiodic neural activity in clinical investigations DOI Creative Commons
Thomas Donoghue

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

Published: Oct. 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

Language: Английский

Citations

3
Working memory processes and the histamine-3 receptor in schizophrenia: a [11C]MK-8278 PET-fMRI study DOI Creative Commons
Atheeshaan Arumuham, Ekaterina Shatalina, Matthew M. Nour

et al.

Psychopharmacology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 22, 2024

Abstract Rationale Working memory impairment is a prominent feature of schizophrenia which predicts clinical and functional outcomes. Preclinical data suggest histamine-3 receptor (H3R) expression in cortical pyramidal neurons may have role working memory, post-mortem has found disruptions H3R schizophrenia. Objectives We examined the vivo to elucidate its on Methods used positron emission tomography (PET) with selective radioligand [ 11 C]MK-8278 measure availability, employed task during magnetic resonance imaging (fMRI) assess memory-evoked brain activation cognitive performance, patients ( n = 12) matched healthy volunteers 12). assessed relationship between availability both performance regions interest (ROIs), including anterior cingulate cortex (ACC) dorsolateral prefrontal (DLPFC). Results Patients showed strong positive correlation, after corrections for multiple comparisons, ACC (rho 0.73, p 0.007), was absent control group 0.03, 0.94). Further ROI analysis did not find significant activation. Conclusions These results provide support processes

Language: Английский

Citations

1
Structural and functional alterations in MRI-negative drug-resistant epilepsy and associated gene expression features DOI Creative Commons
Ting Liu, Sheng Wang, Yingjie Tang

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 302, P. 120908 - 120908

Published: Oct. 28, 2024

Language: Английский

Citations

0
Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated DOI Creative Commons
Gonzalo Boncompte, Vicente Medel, Martín Irani

et al.

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

Published: Dec. 22, 2024

Abstract The aperiodic component of brain field potentials, like EEG, LFP and intracortical recordings, has shown to be a valuable tool in basic neuroscience clinical applications. Aperiodic activity is modeled as power law the spectral density, with exponent key parameter. Part interest this parameter lies its proposed role marker balance between excitatory inhibitory cortical activity. In theory, perfect would imply that same behaviour exists across all frequencies, however recent evidence suggested low high frequency ranges could present different exponents. To elucidate this, we systematically evaluated relation range parameters using human resting-state recordings from 62 patients. We employed two distinct estimation methods, Specparam IRASA. found were indeed dependent on range. Specifically, displayed, average, lower exponents (flatter density) than ranges. This was consistent for IRASA estimations compatible EEG. Given there currently no consensus single used either or neuroscience, our results show care should taken when comparing derived believe also encourage further research into possible roles estimated have reflecting aspects systems.

Language: Английский

Citations

0