Scalp HFO rates are higher for larger lesions

Cserpán, Dorottya; Gennari, Antonio Giulio; Gaito, Luca; Biundo, Santo Pietro Lo; Tuura, Ruth; Sarnthein, Johannes; Ramantani, Georgia

doi:10.1002/epi4.12596

Cited by 13 publications

(15 citation statements)

References 43 publications

(103 reference statements)

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“…46 Indeed, non-invasive recordings of HFOs from the scalp suggested that scalp-recorded HFOs are greater for larger areas of damaged tissue. 47 In the present study, we found more HFOs in Tg2576 mice which have the most plaque pathology. 19 Notably, differences in HFO occurrence between models were robust in SWS but not during wakefulness or REM, which is interesting because SWS is the sleep stage when amyloid-β is being cleared from the brain.…”

Section: Potential Role Of Hfos In Monitoring Disease Progression In Adsupporting

confidence: 61%

“…47 Indeed, non-invasive recordings of HFOs from the scalp suggested that scalp-recorded HFOs are greater for larger areas of damaged tissue. 48 Notably, we did not find a statistically significant correlation between the total number of HFOs and age of transgenic mice (Pearson r=-0.23, p=0.37, n=16; Supplemental figure 1A). Instead, we found a non-linear relationship between the total number of HFOs and age of transgenic mice (Supplemental figure 1B).…”

Section: Potential Role Of Hfos In Monitoring Disease Progression In Admentioning

confidence: 63%

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High Frequency Oscillations (250-500Hz) in Animal Models of Alzheimer’s Disease and Two Animal Models of Epilepsy

Lisgaras

Scharfman

2022

Preprint

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Objective: To test the hypothesis that high frequency oscillations (HFOs) between 250 and 500Hz occur in mouse models of Alzheimer's disease (AD). Methods: Experiments were conducted in three mouse models of AD: Tg2576 mice (n=9) that overexpress the Swedish mutation of amyloid precursor protein, presenilin 2 knock-out (PS2KO) mice (n=8), and the Ts65Dn model of Down's syndrome (n=9). We recorded HFOs using wideband (0.1-500Hz, 2kHz) intra-hippocampal and cortical surface EEG at 1month until 24months of age during wakefulness, slow wave sleep (SWS) and rapid eye movement (REM) sleep. EEG was also recorded using the intra-hippocampal kainic acid and pilocarpine models of epilepsy to compare HFOs in AD and epilepsy models. Interictal spikes (IIS) and seizures in the AD models were also analyzed for the possible presence of HFOs. Results: We describe for the first time hippocampal and cortical HFOs as a new EEG abnormality in AD mouse models. HFOs occurred in all transgenic mice and but no controls (p<0.05). HFOs were most frequent during SWS (vs. REM or wakefulness, p<0.05). HFOs in the AD and epilepsy models were indistinguishable in both spectral frequency and duration (p>0.05). HFOs also occurred during IIS and seizures in the AD models, although with altered spectral properties compared to isolated HFOs (p<0.05). Interpretation: Our data demonstrate a new EEG biomarker in AD mouse models which is detectable from the scalp and thus amenable to non-invasive detection in people at risk for AD.

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Section: Potential Role Of Hfos In Monitoring Disease Progression In Adsupporting

confidence: 61%

Section: Potential Role Of Hfos In Monitoring Disease Progression In Admentioning

confidence: 63%

High Frequency Oscillations (250-500Hz) in Animal Models of Alzheimer’s Disease and Two Animal Models of Epilepsy

Lisgaras

Scharfman

2022

Preprint

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“…47 Indeed, noninvasive recordings of HFOs from the scalp suggested that scalp-recorded HFOs are greater for larger areas of damaged tissue. 48 Notably we did not find a statistically significant linear correlation between the total number of HFOs and age of transgenic mice (Pearson r = −0.23, p = .37, n = 16; Figure S1A,B).…”

Section: Potential Role Of Hfos In Monitoring Disease Progression In Admentioning

confidence: 73%

High‐frequency oscillations (250–500 Hz) in animal models of Alzheimer's disease and two animal models of epilepsy

Lisgaras

Scharfman

2022

Epilepsia

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Objective To test the hypothesis that high‐frequency oscillations (HFOs) between 250 and 500 Hz occur in mouse models of Alzheimer's disease (AD) and thus are not unique to epilepsy. Methods Experiments were conducted in three mouse models of AD: Tg2576 mice that simulate a form of familial AD, presenilin 2 knock‐out (PS2KO) mice, and the Ts65Dn model of Down's syndrome. We recorded HFOs using wideband (0.1–500 Hz, 2 kHz) intra‐hippocampal and cortical surface electroencephalography (EEG) at 1 month until 24 months of age during wakefulness, slow wave sleep (SWS), and rapid eye movement (REM) sleep. In addition, interictal spikes (IISs) and seizures were analyzed for the possible presence of HFOs. Comparisons were made to the intra‐hippocampal kainic acid and pilocarpine models of epilepsy. Results We describe for the first time that hippocampal and cortical HFOs are a new EEG abnormality in AD mouse models. HFOs occurred in all transgenic mice but no controls. They were also detectable as early as 1 month of age and prior to amyloid beta plaque neuropathology. HFOs were most frequent during SWS (vs REM sleep or wakefulness). Notably, HFOs in the AD and epilepsy models were indistinguishable in both spectral frequency and duration. HFOs also occurred during IISs and seizures in the AD models, although with altered spectral properties compared to isolated HFOs. Significance Our data demonstrate that HFOs, an epilepsy biomarker with high translational value, are not unique to epilepsy and thus not disease specific. Our findings also strengthen the idea of hyperexcitability in AD and its significant overlap with epilepsy. HFOs in AD mouse models may serve as an EEG biomarker, which is detectable from the scalp and thus amenable to noninvasive detection in people at risk for AD.

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“…Nevertheless, the delineation of the EZ using HFO (Frauscher et al, 2017;Thomschewski et al, 2019) has proven to be highly predictive of seizure outcome (Fedele et al, 2017b,c,d;Boran et al, 2019b;Chen et al, 2021;Dimakopoulos et al, 2021) and therefore, may improve the outcome of epilepsy surgery. Moreover, an accumulation of recent evidence suggests that HFO are also measurable by non-invasive scalp EEG (Andrade-Valenca et al, 2011;Boran et al, 2019c;Kuhnke et al, 2019;van Klink et al, 2019;Cserpan et al, 2021aCserpan et al, , 2022aTamilia et al, 2021;Noorlag et al, 2022). Therefore HFO are investigated as potential biomarkers to delineate the EZ but also to monitor disease severity and treatment response (Fan et al, 2020;Jacobs and Zijlmans, 2020).…”

Section: High Frequency Oscillations As a New Biomarker For Epileptog...mentioning

confidence: 99%

Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks

et al. 2022

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Interictal high-frequency oscillations (HFO) detected in electroencephalography recordings have been proposed as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. Automatic HFO detectors typically analyze the data offline using complex time-consuming algorithms, which limits their clinical application. Neuromorphic circuits offer the possibility of building compact and low-power processing systems that can analyze data on-line and in real time. In this review, we describe a fully automated detection pipeline for HFO that uses, for the first time, spiking neural networks and neuromorphic technology. We demonstrated that our HFO detection pipeline can be applied to recordings from different modalities (intracranial electroencephalography, electrocorticography, and scalp electroencephalography) and validated its operation in a custom-designed neuromorphic processor. Our HFO detection approach resulted in high accuracy and specificity in the prediction of seizure outcome in patients implanted with intracranial electroencephalography and electrocorticography, and in the prediction of epilepsy severity in patients recorded with scalp electroencephalography. Our research provides a further step toward the real-time detection of HFO using compact and low-power neuromorphic devices. The real-time detection of HFO in the operation room may improve the seizure outcome of epilepsy surgery, while the use of our neuromorphic processor for non-invasive therapy monitoring might allow for more effective medication strategies to achieve seizure control. Therefore, this work has the potential to improve the quality of life in patients with epilepsy by improving epilepsy diagnostics and treatment.

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Scalp HFO rates are higher for larger lesions

Cited by 13 publications

References 43 publications

High Frequency Oscillations (250-500Hz) in Animal Models of Alzheimer’s Disease and Two Animal Models of Epilepsy

High Frequency Oscillations (250-500Hz) in Animal Models of Alzheimer’s Disease and Two Animal Models of Epilepsy

High‐frequency oscillations (250–500 Hz) in animal models of Alzheimer's disease and two animal models of epilepsy

Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks

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