Spatial and temporal profile of high-frequency oscillations in posttraumatic epileptogenesis

Li, Lin; Kumar, Udaya; You, Jing; Zhou, Yufeng; Weiss, Shennan A.; Engel, Jerome; Bragin, Anatol

doi:10.1016/j.nbd.2021.105544

Cited by 22 publications

(16 citation statements)

References 52 publications

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“…FR are brief (8–50 ms) bursts of spectral energy 200–600 Hz in frequency 4 . In animal models, FR are first generated following insults with toxins, such as kainic acid 5 , 6 , or after traumatic brain injury 7 , 8 . The generation of FR by these insults predicts the later development of epileptic seizures on a within subject basis 6 – 8 .…”

Section: Introductionmentioning

confidence: 99%

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Weiss

Fried

et al. 2023

Sci Rep

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Fast ripples (FR) are a biomarker of epileptogenic brain, but when larger portions of FR generating regions are resected seizure freedom is not always achieved. To evaluate and improve the diagnostic accuracy of FR resection for predicting seizure freedom we compared the FR resection ratio (RR) with FR network graph theoretical measures. In 23 patients FR were semi-automatically detected and quantified in stereo EEG recordings during sleep. MRI normalization and co-registration localized contacts and relation to resection margins. The number of FR, and graph theoretical measures, which were spatial (i.e., FR rate-distance radius) or temporal correlational (i.e., FR mutual information), were compared with the resection margins and with seizure outcome We found that the FR RR did not correlate with seizure-outcome (p > 0.05). In contrast, the FR rate-distance radius resected difference and the FR MI mean characteristic path length RR did correlate with seizure-outcome (p < 0.05). Retesting of positive FR RR patients using either FR rate-distance radius resected difference or the FR MI mean characteristic path length RR reduced seizure-free misclassifications from 44 to 22% and 17%, respectively. These results indicate that graph theoretical measures of FR networks can improve the diagnostic accuracy of the resection of FR events for predicting seizure freedom.

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Section: Introductionmentioning

confidence: 99%

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Weiss

Fried

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…FR are brief (8-50 msec) bursts of spectral energy 200-600 Hz in frequency 4 . In animal models, FR are rst generated following insults with toxins, such as kainic acid 5,6 , or after traumatic brain injury 7,8 . The generation of FR by these insults predicts the later development of epileptic seizures on a within subject basis [6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

“…In animal models, FR are rst generated following insults with toxins, such as kainic acid 5,6 , or after traumatic brain injury 7,8 . The generation of FR by these insults predicts the later development of epileptic seizures on a within subject basis [6][7][8] . Additionally, FR may be directly involved in ictogenesis.…”

Section: Introductionmentioning

confidence: 99%

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Weiss

Fried²,

et al. 2022

Preprint

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Fast ripples (FR) are a biomarker of epileptogenic brain, but when larger portions of FR generating regions are resected seizure freedom is not always achieved. To evaluate and improve the diagnostic accuracy of FR resection for predicting seizure freedom we compared the FR resection ratio (RR) with FR network graph theoretical measures. In 23 patients FR were semi-automatically detected and quantified in stereo EEG recordings during sleep. MRI normalization and co-registration localized contacts and relation to resection margins. The number of FR, and graph theoretical measures, which were spatial (i.e., FR rate-distance radius) or temporal correlational (i.e., FR mutual information), were compared with the resection margins and with seizure outcome We found that the FR RR did not correlate with seizure-outcome (p > 0.05). In contrast, the FR rate-distance radius resected difference and the FR MI mean characteristic path length RR did correlate with seizure-outcome (p < 0.05). Reflex testing of positive FR RR patients using either FR rate-distance radius resected difference or the FR MI mean characteristic path length RR reduced seizure-free misclassifications from 44–22% and 17%, respectively. These results indicate that graph theoretical measures of FR networks can improve the diagnostic accuracy of the resection of FR events for predicting seizure freedom.

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“…Rodent studies of epilepsy often utilize longitudinal recordings to characterize disease progression and determine the efficacy of drug treatments (Price et al, 2009; reviewed in Simonato et al, 2014; Li et al, 2021; Lisgaras & Scharfman, 2022). In such experiments it is beneficial to simultaneously record video and electrophysiological signals such as electroencephalogram (EEG) or depth local field potential (LFP).…”

Section: Introductionmentioning

confidence: 99%

Low-cost platform for multi-animal chronic local field potential video monitoring with graphical user interface (GUI) for seizure detection and behavioral scoring

Tarcsay

Boublil

Ewell

2022

Preprint

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Experiments employing chronic monitoring of neurophysiological signals and video are commonly used in studies of epilepsy to characterize behavioral correlates of seizures. Our objective was to design a low-cost platform that enables chronic monitoring of several animals simultaneously, synchronizes bilateral local field potential and video streams in real-time, and parses recorded data into manageable file sizes. We present a hardware solution leveraging Intan and Open Ephys acquisition systems and a software solution implemented in Bonsai. The platform was tested in 48-hour continuous recordings simultaneously from multiple mice (male and female) with chronic epilepsy. To enable seizure detection and scoring, we developed a graphical user interface (GUI) that reads the data produced by our workflow and allows a user with no coding expertise to analyze events. Our Bonsai workflow was designed to maximize flexibility for a wide variety of experimental applications, and our use of the Open Ephys acquisition board would allow for scaling recordings up to 128 channels per animal.SIGNIFICANCE STATEMENTWe present a low-cost hardware and software solution intended for multi-animal chronic seizure monitoring, that prioritizes experimental freedom, and requires no coding expertise of the user. We provide details for using an Intan adapter board to enable user freedom regarding the type of electrodes used. Video and local field potential data streams are synchronized and parsed in Bonsai – an open-source visual programming language that has pre-written libraries that allow our workflow to be adapted to other data types or to integrate with open-source toolboxes. Finally, for those intending to use our platform for seizure monitoring, we provide an accessible GUI to aid in seizure detection and behavioral scoring.

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Spatial and temporal profile of high-frequency oscillations in posttraumatic epileptogenesis

Cited by 22 publications

References 52 publications

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Low-cost platform for multi-animal chronic local field potential video monitoring with graphical user interface (GUI) for seizure detection and behavioral scoring

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