Response to photic stimulation as a measure of cortical excitability in epilepsy patients
Studying states and state transitions in the brain is challenging due to nonlinear, complex dynamics. In this research, we analyze the brain's response to non-invasive perturbations. Perturbation techniques offer a powerful method for studying complex dynamics, though their translation to human...
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Frontiers Media S.A.
2024-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1308013/full |
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author | Michaela Vranic-Peters Patrick O'Brien Udaya Seneviratne Ashley Reynolds Alan Lai David B. Grayden Mark J. Cook Andre D. H. Peterson |
author_facet | Michaela Vranic-Peters Patrick O'Brien Udaya Seneviratne Ashley Reynolds Alan Lai David B. Grayden Mark J. Cook Andre D. H. Peterson |
author_sort | Michaela Vranic-Peters |
collection | DOAJ |
description | Studying states and state transitions in the brain is challenging due to nonlinear, complex dynamics. In this research, we analyze the brain's response to non-invasive perturbations. Perturbation techniques offer a powerful method for studying complex dynamics, though their translation to human brain data is under-explored. This method involves applying small inputs, in this case via photic stimulation, to a system and measuring its response. Sensitivity to perturbations can forewarn a state transition. Therefore, biomarkers of the brain's perturbation response or “cortical excitability” could be used to indicate seizure transitions. However, perturbing the brain often involves invasive intracranial surgeries or expensive equipment such as transcranial magnetic stimulation (TMS) which is only accessible to a minority of patient groups, or animal model studies. Photic stimulation is a widely used diagnostic technique in epilepsy that can be used as a non-invasive perturbation paradigm to probe brain dynamics during routine electroencephalography (EEG) studies in humans. This involves changing the frequency of strobing light, sometimes triggering a photo-paroxysmal response (PPR), which is an electrographic event that can be studied as a state transition to a seizure state. We investigate alterations in the response to these perturbations in patients with genetic generalized epilepsy (GGE), with (n = 10) and without (n = 10) PPR, and patients with psychogenic non-epileptic seizures (PNES; n = 10), compared to resting controls (n = 10). Metrics of EEG time-series data were evaluated as biomarkers of the perturbation response including variance, autocorrelation, and phase-based synchrony measures. We observed considerable differences in all group biomarker distributions during stimulation compared to controls. In particular, variance and autocorrelation demonstrated greater changes in epochs close to PPR transitions compared to earlier stimulation epochs. Comparison of PPR and spontaneous seizure morphology found them indistinguishable, suggesting PPR is a valid proxy for seizure dynamics. Also, as expected, posterior channels demonstrated the greatest change in synchrony measures, possibly reflecting underlying PPR pathophysiologic mechanisms. We clearly demonstrate observable changes at a group level in cortical excitability in epilepsy patients as a response to perturbation in EEG data. Our work re-frames photic stimulation as a non-invasive perturbation paradigm capable of inducing measurable changes to brain dynamics. |
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issn | 1662-453X |
language | English |
last_indexed | 2024-03-08T16:50:40Z |
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spelling | doaj.art-05eaef1a2a1e44aab7955441bbcba0742024-01-05T04:26:26ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2024-01-011710.3389/fnins.2023.13080131308013Response to photic stimulation as a measure of cortical excitability in epilepsy patientsMichaela Vranic-Peters0Patrick O'Brien1Udaya Seneviratne2Ashley Reynolds3Alan Lai4David B. Grayden5Mark J. Cook6Andre D. H. Peterson7Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, AustraliaStudying states and state transitions in the brain is challenging due to nonlinear, complex dynamics. In this research, we analyze the brain's response to non-invasive perturbations. Perturbation techniques offer a powerful method for studying complex dynamics, though their translation to human brain data is under-explored. This method involves applying small inputs, in this case via photic stimulation, to a system and measuring its response. Sensitivity to perturbations can forewarn a state transition. Therefore, biomarkers of the brain's perturbation response or “cortical excitability” could be used to indicate seizure transitions. However, perturbing the brain often involves invasive intracranial surgeries or expensive equipment such as transcranial magnetic stimulation (TMS) which is only accessible to a minority of patient groups, or animal model studies. Photic stimulation is a widely used diagnostic technique in epilepsy that can be used as a non-invasive perturbation paradigm to probe brain dynamics during routine electroencephalography (EEG) studies in humans. This involves changing the frequency of strobing light, sometimes triggering a photo-paroxysmal response (PPR), which is an electrographic event that can be studied as a state transition to a seizure state. We investigate alterations in the response to these perturbations in patients with genetic generalized epilepsy (GGE), with (n = 10) and without (n = 10) PPR, and patients with psychogenic non-epileptic seizures (PNES; n = 10), compared to resting controls (n = 10). Metrics of EEG time-series data were evaluated as biomarkers of the perturbation response including variance, autocorrelation, and phase-based synchrony measures. We observed considerable differences in all group biomarker distributions during stimulation compared to controls. In particular, variance and autocorrelation demonstrated greater changes in epochs close to PPR transitions compared to earlier stimulation epochs. Comparison of PPR and spontaneous seizure morphology found them indistinguishable, suggesting PPR is a valid proxy for seizure dynamics. Also, as expected, posterior channels demonstrated the greatest change in synchrony measures, possibly reflecting underlying PPR pathophysiologic mechanisms. We clearly demonstrate observable changes at a group level in cortical excitability in epilepsy patients as a response to perturbation in EEG data. Our work re-frames photic stimulation as a non-invasive perturbation paradigm capable of inducing measurable changes to brain dynamics.https://www.frontiersin.org/articles/10.3389/fnins.2023.1308013/fullbrain dynamicsstate transitionsperturbationphotic stimulationepilepsybiomarker |
spellingShingle | Michaela Vranic-Peters Patrick O'Brien Udaya Seneviratne Ashley Reynolds Alan Lai David B. Grayden Mark J. Cook Andre D. H. Peterson Response to photic stimulation as a measure of cortical excitability in epilepsy patients Frontiers in Neuroscience brain dynamics state transitions perturbation photic stimulation epilepsy biomarker |
title | Response to photic stimulation as a measure of cortical excitability in epilepsy patients |
title_full | Response to photic stimulation as a measure of cortical excitability in epilepsy patients |
title_fullStr | Response to photic stimulation as a measure of cortical excitability in epilepsy patients |
title_full_unstemmed | Response to photic stimulation as a measure of cortical excitability in epilepsy patients |
title_short | Response to photic stimulation as a measure of cortical excitability in epilepsy patients |
title_sort | response to photic stimulation as a measure of cortical excitability in epilepsy patients |
topic | brain dynamics state transitions perturbation photic stimulation epilepsy biomarker |
url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1308013/full |
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