Future of Seizure Prediction and Intervention

Nagaraj, Vivek; Lee, Steven T.; Krook-Magnuson, Esther; Soltész, Iván; Benquet, Pascal; Irazoqui, Pedro P.; Netoff, Theoden I.

doi:10.1097/wnp.0000000000000139

Cited by 71 publications

(47 citation statements)

References 193 publications

(212 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They have been proposed to be used to extract salient biomarkers of seizures. 62 An important challenge would be to determine how to measure, record, and remove noise. Nevertheless, this can be challenging since physiological signals are prone to be easily changeable by many factors unrelated to the targeted symptom, leading to a high rate of errors of classification by the algorithm.…”

Section: Important Points To Develop a Closed Loop Systemmentioning

confidence: 99%

Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System

Leite

Morales-Quezada

Carvalho

et al. 2017

Int. J. Neur. Syst.

View full text Add to dashboard Cite

Conventional transcranial direct current stimulation (tDCS) protocols rely on applying electrical current at a fixed intensity and duration without using surrogate markers to direct the interventions. This has led to some mixed results; especially because tDCS induced effects may vary depending on the ongoing level of brain activity. Therefore, the objective of this preliminary study was to assess the feasibility of an EEG-triggered tDCS system based on EEG online analysis of its frequency bands. Six healthy volunteers were randomized to participate in a double-blind sham-controlled crossover design to receive a single session of 10min 2mA cathodal and sham tDCS. tDCS trigger controller was based upon an algorithm designed to detect an increase in the relative beta power of more than 200%, accompanied by a decrease of 50% or more in the relative alpha power based on baseline EEG recordings. EEG-tDCS closed-loop-system was able to detect the predefined EEG magnitude deviation and successfully triggered the stimulation in all participants. This preliminary study represents a proof-of-concept for the development of an EEG-tDCS closed-loop system in humans. We discuss and review here different methods of closed loop system that can be considered and potential clinical applications of such system.

show abstract

Section: Important Points To Develop a Closed Loop Systemmentioning

confidence: 99%

Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System

Leite

Morales-Quezada

Carvalho

et al. 2017

Int. J. Neur. Syst.

View full text Add to dashboard Cite

show abstract

“…This work attracted the attention of a broad array of researchers spanning the fields of physics, mathematics, neuroscience and engineering, in combination with clinicians involved in treatment of persons with epilepsy. The approaches taken, and their output, are too vast to cover here; the interested reader is referred to reviews such as (Lehnertz 2008, Nagaraj et al 2015, Wagenaar et al 2015). …”

Section: Seizure Prediction and Instrumented Seizure Control Through mentioning

confidence: 99%

“…The remainder of the reviews return to the data sharing and standardization (Wagenaar et al 2015), and the future of seizure control (Nagaraj et al 2015). Each of these provide not only reviews of the state of the art project opinions on future efforts, but they also report on the numerous major milestones achieved by the ISP in the last few years.…”

Section: Achievements In Seizure Prediction and Control – Report Frommentioning

confidence: 99%

“…In addition, this time period marked the FDA approval of the NeuroPace Responsive Neural Stimulation systems. These, in addition to emerging technologies that have the potential to develop into the next generation of implantable devices for the detection, prediction, and control of epileptic seizures, are reviewed by (Nagaraj et al 2015). …”

Section: Achievements In Seizure Prediction and Control – Report Frommentioning

confidence: 99%

See 1 more Smart Citation

Seizure Prediction 6

Gluckman

Schevon

2015

Journal of Clinical Neurophysiology

View full text Add to dashboard Cite

“…PRC was successfully used for controlling the epileptic seizures [23] and Parkinson's tremor [24, 25] and was implemented in neuromorphic circuits to allow real-time seizure prediction and control [26]. …”

Section: Introductionmentioning

confidence: 99%

A Consistent Definition of Phase Resetting Using Hilbert Transform

Oprisan

2017

International Scholarly Research Notices

View full text Add to dashboard Cite

A phase resetting curve (PRC) measures the transient change in the phase of a neural oscillator subject to an external perturbation. The PRC encapsulates the dynamical response of a neural oscillator and, as a result, it is often used for predicting phase-locked modes in neural networks. While phase is a fundamental concept, it has multiple definitions that may lead to contradictory results. We used the Hilbert Transform (HT) to define the phase of the membrane potential oscillations and HT amplitude to estimate the PRC of a single neural oscillator. We found that HT's amplitude and its corresponding instantaneous frequency are very sensitive to membrane potential perturbations. We also found that the phase shift of HT amplitude between the pre- and poststimulus cycles gives an accurate estimate of the PRC. Moreover, HT phase does not suffer from the shortcomings of voltage threshold or isochrone methods and, as a result, gives accurate and reliable estimations of phase resetting.

show abstract

Future of Seizure Prediction and Intervention

Cited by 71 publications

References 193 publications

Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System

Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System

Seizure Prediction 6

A Consistent Definition of Phase Resetting Using Hilbert Transform

Contact Info

Product

Resources

About