Literature DB >> 24663490

Early Detection of Human Epileptic Seizures Based on Intracortical Local Field Potentials.

Yun S Park1, Leigh R Hochberg2, Emad N Eskandar3, Sydney S Cash4, Wilson Truccolo5.   

Abstract

The unpredictability of re-occurring seizures dramatically impacts the quality of life and autonomy of people with epilepsy. Reliable early seizure detection could open new therapeutic possibilities and thus substantially improve quality of life and autonomy. Though many seizure detection studies have shown the potential of scalp electroencephalogram (EEG) and intracranial EEG (iEEG) signals, reliable early detection of human seizures remains elusive in practice. Here, we examined the use of intracortical local field potentials (LFPs) recorded from 4×4-mm2 96-microelectrode arrays (MEA) for early detection of human epileptic seizures. We adopted a framework consisting of (1) sampling of intracortical LFPs; (2) denoising of LFPs with the Kalman filter; (3) spectral power estimation in specific frequency bands using 1-sec moving time windows; (4) extraction of statistical features, such as the mean, variance, and Fano factor (calculated across channels) of the power in each frequency band; and (5) cost-sensitive support vector machine (SVM) classification of ictal and interictal samples. We tested the framework in one-participant dataset, including 4 seizures and corresponding interictal recordings preceding each seizure. The participant was a 52-year-old woman suffering from complex partial seizures. LFPs were recorded from an MEA implanted in the participant's left middle temporal gyrus. In this participant, spectral power in 0.3-10 Hz, 20-55 Hz, and 125-250 Hz changed significantly between ictal and interictal epochs. The examined seizure detection framework provided an event-wise sensitivity of 100% (4/4) and only one 20-sec-long false positive event in interictal recordings (likely an undetected subclinical event under further visual inspection), and a detection latency of 4.35 ± 2.21 sec (mean ± std) with respect to iEEG-identified seizure onsets. These preliminary results indicate that intracortical MEA recordings may provide key signals to quickly and reliably detect human seizures.

Entities:  

Year:  2013        PMID: 24663490      PMCID: PMC3961001          DOI: 10.1109/NER.2013.6695937

Source DB:  PubMed          Journal:  Int IEEE EMBS Conf Neural Eng        ISSN: 1948-3546


  12 in total

1.  Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy.

Authors:  Robert Fisher; Vicenta Salanova; Thomas Witt; Robert Worth; Thomas Henry; Robert Gross; Kalarickal Oommen; Ivan Osorio; Jules Nazzaro; Douglas Labar; Michael Kaplitt; Michael Sperling; Evan Sandok; John Neal; Adrian Handforth; John Stern; Antonio DeSalles; Steve Chung; Andrew Shetter; Donna Bergen; Roy Bakay; Jaimie Henderson; Jacqueline French; Gordon Baltuch; William Rosenfeld; Andrew Youkilis; William Marks; Paul Garcia; Nicolas Barbaro; Nathan Fountain; Carl Bazil; Robert Goodman; Guy McKhann; K Babu Krishnamurthy; Steven Papavassiliou; Charles Epstein; John Pollard; Lisa Tonder; Joan Grebin; Robert Coffey; Nina Graves
Journal:  Epilepsia       Date:  2010-03-17       Impact factor: 5.864

2.  SVMs modeling for highly imbalanced classification.

Authors:  Yuchun Tang; Yan-Qing Zhang; Nitesh V Chawla; Sven Krasser
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2008-12-09

3.  Single-neuron dynamics in human focal epilepsy.

Authors:  Wilson Truccolo; Jacob A Donoghue; Leigh R Hochberg; Emad N Eskandar; Joseph R Madsen; William S Anderson; Emery N Brown; Eric Halgren; Sydney S Cash
Journal:  Nat Neurosci       Date:  2011-03-27       Impact factor: 24.884

4.  Responsive cortical stimulation for the treatment of medically intractable partial epilepsy.

Authors:  Martha J Morrell
Journal:  Neurology       Date:  2011-09-14       Impact factor: 9.910

5.  Seizure prediction with spectral power of EEG using cost-sensitive support vector machines.

Authors:  Yun Park; Lan Luo; Keshab K Parhi; Theoden Netoff
Journal:  Epilepsia       Date:  2011-06-21       Impact factor: 5.864

6.  Patient-specific seizure onset detection.

Authors:  Ali Shoeb; Herman Edwards; Jack Connolly; Blaise Bourgeois; S Ted Treves; John Guttag
Journal:  Epilepsy Behav       Date:  2004-08       Impact factor: 2.937

7.  A micropower support vector machine based seizure detection architecture for embedded medical devices.

Authors:  Ali Shoeb; Dave Carlson; Eric Panken; Timothy Denison
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 8.  Epilepsy across the spectrum: promoting health and understanding. A summary of the Institute of Medicine report.

Authors:  Mary Jane England; Catharyn T Liverman; Andrea M Schultz; Larisa M Strawbridge
Journal:  Epilepsy Behav       Date:  2012-10-05       Impact factor: 2.937

9.  Automatic seizure detection using wavelet transform and SVM in long-term intracranial EEG.

Authors:  Yinxia Liu; Weidong Zhou; Qi Yuan; Shuangshuang Chen
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-07-31       Impact factor: 3.802

Review 10.  Technology insight: neuroengineering and epilepsy-designing devices for seizure control.

Authors:  William C Stacey; Brian Litt
Journal:  Nat Clin Pract Neurol       Date:  2008-02-26
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  3 in total

1.  Early Detection of Human Epileptic Seizures Based on Intracortical Microelectrode Array Signals.

Authors:  Yun S Park; G Rees Cosgrove; Joseph R Madsen; Emad N Eskandar; Leigh R Hochberg; Sydney S Cash; Wilson Truccolo
Journal:  IEEE Trans Biomed Eng       Date:  2019-06-06       Impact factor: 4.538

2.  Early detection of human focal seizures based on cortical multiunit activity.

Authors:  Yun S Park; Leigh R Hochberg; Emad N Eskandar; Sydney S Cash; Wilson Truccolo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

3.  Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy.

Authors:  Joaquin Rapela; Timothee Proix; Dmitrii Todorov; Wilson Truccolo
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2019-07
  3 in total

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