Noninvasive imaging of the high frequency brain activity in focal epilepsy patients

Yunfeng Lu, Gregory Alan Worrell, Huishi Clara Zhang, Lin Yang, Benjamin Brinkmann, Cindy Nelson, Bin He

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

High-frequency (HF) activity represents a potential biomarker of the epileptogenic zone in epilepsy patients, the removal of which is considered to be crucial for seizure-free surgical outcome. We proposed a high frequency source imaging (HFSI) approach to noninvasively image the brain sources of the scalp-recorded HF EEG activity. Both computer simulation and clinical patient data analysis were performed to investigate the feasibility of using the HFSI approach to image the sources of HF activity from noninvasive scalp EEG recordings. The HF activity was identified from high-density scalp recordings after high-pass filtering the EEG data and the EEG segments with HF activity were concatenated together to form repetitive HF activity. Independent component analysis was utilized to extract the components corresponding to the HF activity. Noninvasive EEG source imaging using realistic geometric boundary element head modeling was then applied to image the sources of the pathological HF brain activity. Five medically intractable focal epilepsy patients were studied and the estimated sources were found to be concordant with the surgical resection or intracranial recordings of the patients. The present study demonstrates, for the first time, that source imaging from the scalp HF activity could help to localize the seizure onset zone and provide a novel noninvasive way of studying the epileptic brain in humans. This study also indicates the potential application of studying HF activity in the presurgical planning of medically intractable epilepsy patients.

Original languageEnglish (US)
Article number6701175
Pages (from-to)1660-1667
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume61
Issue number6
DOIs
StatePublished - 2014

Fingerprint

Partial Epilepsy
Electroencephalography
Brain
Scalp
Imaging techniques
Seizures
Insulator Elements
Independent component analysis
Biomarkers
Computer Simulation
Epilepsy
Head
Planning
Computer simulation

Keywords

  • Epilepsy
  • epileptogenic zone
  • high frequency activity
  • scalp EEG
  • source imaging

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine(all)

Cite this

Noninvasive imaging of the high frequency brain activity in focal epilepsy patients. / Lu, Yunfeng; Worrell, Gregory Alan; Zhang, Huishi Clara; Yang, Lin; Brinkmann, Benjamin; Nelson, Cindy; He, Bin.

In: IEEE Transactions on Biomedical Engineering, Vol. 61, No. 6, 6701175, 2014, p. 1660-1667.

Research output: Contribution to journalArticle

Lu, Yunfeng ; Worrell, Gregory Alan ; Zhang, Huishi Clara ; Yang, Lin ; Brinkmann, Benjamin ; Nelson, Cindy ; He, Bin. / Noninvasive imaging of the high frequency brain activity in focal epilepsy patients. In: IEEE Transactions on Biomedical Engineering. 2014 ; Vol. 61, No. 6. pp. 1660-1667.
@article{959f84a0f3f64e57ad14e552c591baf5,
title = "Noninvasive imaging of the high frequency brain activity in focal epilepsy patients",
abstract = "High-frequency (HF) activity represents a potential biomarker of the epileptogenic zone in epilepsy patients, the removal of which is considered to be crucial for seizure-free surgical outcome. We proposed a high frequency source imaging (HFSI) approach to noninvasively image the brain sources of the scalp-recorded HF EEG activity. Both computer simulation and clinical patient data analysis were performed to investigate the feasibility of using the HFSI approach to image the sources of HF activity from noninvasive scalp EEG recordings. The HF activity was identified from high-density scalp recordings after high-pass filtering the EEG data and the EEG segments with HF activity were concatenated together to form repetitive HF activity. Independent component analysis was utilized to extract the components corresponding to the HF activity. Noninvasive EEG source imaging using realistic geometric boundary element head modeling was then applied to image the sources of the pathological HF brain activity. Five medically intractable focal epilepsy patients were studied and the estimated sources were found to be concordant with the surgical resection or intracranial recordings of the patients. The present study demonstrates, for the first time, that source imaging from the scalp HF activity could help to localize the seizure onset zone and provide a novel noninvasive way of studying the epileptic brain in humans. This study also indicates the potential application of studying HF activity in the presurgical planning of medically intractable epilepsy patients.",
keywords = "Epilepsy, epileptogenic zone, high frequency activity, scalp EEG, source imaging",
author = "Yunfeng Lu and Worrell, {Gregory Alan} and Zhang, {Huishi Clara} and Lin Yang and Benjamin Brinkmann and Cindy Nelson and Bin He",
year = "2014",
doi = "10.1109/TBME.2013.2297332",
language = "English (US)",
volume = "61",
pages = "1660--1667",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "6",

}

TY - JOUR

T1 - Noninvasive imaging of the high frequency brain activity in focal epilepsy patients

AU - Lu, Yunfeng

AU - Worrell, Gregory Alan

AU - Zhang, Huishi Clara

AU - Yang, Lin

AU - Brinkmann, Benjamin

AU - Nelson, Cindy

AU - He, Bin

PY - 2014

Y1 - 2014

N2 - High-frequency (HF) activity represents a potential biomarker of the epileptogenic zone in epilepsy patients, the removal of which is considered to be crucial for seizure-free surgical outcome. We proposed a high frequency source imaging (HFSI) approach to noninvasively image the brain sources of the scalp-recorded HF EEG activity. Both computer simulation and clinical patient data analysis were performed to investigate the feasibility of using the HFSI approach to image the sources of HF activity from noninvasive scalp EEG recordings. The HF activity was identified from high-density scalp recordings after high-pass filtering the EEG data and the EEG segments with HF activity were concatenated together to form repetitive HF activity. Independent component analysis was utilized to extract the components corresponding to the HF activity. Noninvasive EEG source imaging using realistic geometric boundary element head modeling was then applied to image the sources of the pathological HF brain activity. Five medically intractable focal epilepsy patients were studied and the estimated sources were found to be concordant with the surgical resection or intracranial recordings of the patients. The present study demonstrates, for the first time, that source imaging from the scalp HF activity could help to localize the seizure onset zone and provide a novel noninvasive way of studying the epileptic brain in humans. This study also indicates the potential application of studying HF activity in the presurgical planning of medically intractable epilepsy patients.

AB - High-frequency (HF) activity represents a potential biomarker of the epileptogenic zone in epilepsy patients, the removal of which is considered to be crucial for seizure-free surgical outcome. We proposed a high frequency source imaging (HFSI) approach to noninvasively image the brain sources of the scalp-recorded HF EEG activity. Both computer simulation and clinical patient data analysis were performed to investigate the feasibility of using the HFSI approach to image the sources of HF activity from noninvasive scalp EEG recordings. The HF activity was identified from high-density scalp recordings after high-pass filtering the EEG data and the EEG segments with HF activity were concatenated together to form repetitive HF activity. Independent component analysis was utilized to extract the components corresponding to the HF activity. Noninvasive EEG source imaging using realistic geometric boundary element head modeling was then applied to image the sources of the pathological HF brain activity. Five medically intractable focal epilepsy patients were studied and the estimated sources were found to be concordant with the surgical resection or intracranial recordings of the patients. The present study demonstrates, for the first time, that source imaging from the scalp HF activity could help to localize the seizure onset zone and provide a novel noninvasive way of studying the epileptic brain in humans. This study also indicates the potential application of studying HF activity in the presurgical planning of medically intractable epilepsy patients.

KW - Epilepsy

KW - epileptogenic zone

KW - high frequency activity

KW - scalp EEG

KW - source imaging

UR - http://www.scopus.com/inward/record.url?scp=84901266426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901266426&partnerID=8YFLogxK

U2 - 10.1109/TBME.2013.2297332

DO - 10.1109/TBME.2013.2297332

M3 - Article

C2 - 24845275

AN - SCOPUS:84901266426

VL - 61

SP - 1660

EP - 1667

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 6

M1 - 6701175

ER -