Literature DB >> 24845275

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

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

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.

Entities:  

Mesh:

Year:  2014        PMID: 24845275      PMCID: PMC4123538          DOI: 10.1109/TBME.2013.2297332

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  79 in total

1.  Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity.

Authors:  A M Dale; A K Liu; B R Fischl; R L Buckner; J W Belliveau; J D Lewine; E Halgren
Journal:  Neuron       Date:  2000-04       Impact factor: 17.173

2.  Removing interictal fast ripples on electrocorticography linked with seizure freedom in children.

Authors:  J Y Wu; R Sankar; J T Lerner; J H Matsumoto; H V Vinters; G W Mathern
Journal:  Neurology       Date:  2010-10-06       Impact factor: 9.910

3.  Efficient dipole parameter estimation in EEG systems with near-ML performance.

Authors:  Shun Chi Wu; A Lee Swindlehurst; Po T Wang; Zoran Nenadic
Journal:  IEEE Trans Biomed Eng       Date:  2012-02-10       Impact factor: 4.538

Review 4.  Mapping human brain function with MEG and EEG: methods and validation.

Authors:  F Darvas; D Pantazis; E Kucukaltun-Yildirim; R M Leahy
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

5.  fMRI-EEG integrated cortical source imaging by use of time-variant spatial constraints.

Authors:  Zhongming Liu; Bin He
Journal:  Neuroimage       Date:  2007-10-12       Impact factor: 6.556

6.  Interictal scalp fast oscillations as a marker of the seizure onset zone.

Authors:  L P Andrade-Valenca; F Dubeau; F Mari; R Zelmann; J Gotman
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

7.  High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery.

Authors:  Julia Jacobs; Maeike Zijlmans; Rina Zelmann; Claude-Edouard Chatillon; Jeffrey Hall; André Olivier; François Dubeau; Jean Gotman
Journal:  Ann Neurol       Date:  2010-02       Impact factor: 10.422

8.  High-resolution EEG: cortical potential imaging of interictal spikes.

Authors:  X Zhang; W van Drongelen; K E Hecox; V L Towle; D M Frim; A B McGee; B He
Journal:  Clin Neurophysiol       Date:  2003-10       Impact factor: 3.708

9.  Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients.

Authors:  Yunfeng Lu; Lin Yang; Gregory A Worrell; Bin He
Journal:  Clin Neurophysiol       Date:  2011-12-14       Impact factor: 3.708

10.  Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy.

Authors:  Benoît Crépon; Vincent Navarro; Dominique Hasboun; Stéphane Clemenceau; Jacques Martinerie; Michel Baulac; Claude Adam; Michel Le Van Quyen
Journal:  Brain       Date:  2009-11-17       Impact factor: 13.501

View more
  11 in total

1.  Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Authors:  Jayabal Velmurugan; Srikantan S Nagarajan; Narayanan Mariyappa; Ravindranadh C Mundlamuri; Kenchaiah Raghavendra; Rose Dawn Bharath; Jitender Saini; Arimappamagan Arivazhagan; Jamuna Rajeswaran; Anita Mahadevan; Bhaskara Rao Malla; Parthasarathy Satishchandra; Sanjib Sinha
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

2.  Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy.

Authors:  Abbas Sohrabpour; Yunfeng Lu; Gregory Worrell; Bin He
Journal:  Neuroimage       Date:  2016-05-27       Impact factor: 6.556

3.  Assessing dynamic spectral causality by lagged adaptive directed transfer function and instantaneous effect factor.

Authors:  Haojie Xu; Yunfeng Lu; Shanan Zhu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-07       Impact factor: 4.538

4.  Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data.

Authors:  Otis Smart; Lauren Burrell
Journal:  Eng Appl Artif Intell       Date:  2015-03       Impact factor: 6.212

5.  Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.

Authors:  Abbas Sohrabpour; Shuai Ye; Gregory A Worrell; Wenbo Zhang; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-11       Impact factor: 4.538

6.  Resting-state test-retest reliability of a priori defined canonical networks over different preprocessing steps.

Authors:  Deepthi P Varikuti; Felix Hoffstaedter; Sarah Genon; Holger Schwender; Andrew T Reid; Simon B Eickhoff
Journal:  Brain Struct Funct       Date:  2016-08-22       Impact factor: 3.270

7.  Electrophysiological Evidence for the Development of a Self-Sustained Large-Scale Epileptic Network in the Kainate Mouse Model of Temporal Lobe Epilepsy.

Authors:  Laurent Sheybani; Gwenaël Birot; Alessandro Contestabile; Margitta Seeck; Jozsef Zoltan Kiss; Karl Schaller; Christoph M Michel; Charles Quairiaux
Journal:  J Neurosci       Date:  2018-03-19       Impact factor: 6.167

8.  Effect of EEG electrode number on epileptic source localization in pediatric patients.

Authors:  Abbas Sohrabpour; Yunfeng Lu; Pongkiat Kankirawatana; Jeffrey Blount; Hyunmi Kim; Bin He
Journal:  Clin Neurophysiol       Date:  2014-07-11       Impact factor: 3.708

9.  Characterization of functional brain activity and connectivity using EEG and fMRI in patients with sickle cell disease.

Authors:  Michelle Case; Huishi Zhang; John Mundahl; Yvonne Datta; Stephen Nelson; Kalpna Gupta; Bin He
Journal:  Neuroimage Clin       Date:  2016-12-26       Impact factor: 4.881

10.  Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources.

Authors:  Abbas Sohrabpour; Zhengxiang Cai; Shuai Ye; Benjamin Brinkmann; Gregory Worrell; Bin He
Journal:  Nat Commun       Date:  2020-04-23       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.