The Experts below are selected from a list of 159024 Experts worldwide ranked by ideXlab platform

Elias Ebrahimzadeh - One of the best experts on this subject based on the ideXlab platform.

  • quantitative determination of concordance in localizing epileptic focus by Component based eeg fmri
    Computer Methods and Programs in Biomedicine, 2019
    Co-Authors: Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanianzadeh
    Abstract:

    Abstract Background and objective Accurate seizure onset zone (SOZ) localization is an essential step in pre-surgical assessment of patients with refractory focal epilepsy. Complex pathophysiology of epileptic cerebral structures, seizure types and frequencies have not been considered as influential features for accurate identification of SOZ using EEG-fMRI. There is a crucial need to quantitatively measure concordance between presumed SOZ and IED-related BOLD response in different brain regions to improve SOZ delineation. Methods A novel Component-based EEG-fMRI approach is proposed to measure physical distance between BOLD clusters and Selected Component dipole location using patient-specific high resolution anatomical images. The method is applied on 18 patients with refractory focal epilepsy to localize epileptic focus and determine concordance quantitatively and compare between maximum BOLD cluster with identified Component dipole. To measure concordance, distance from a voxel with maximal z-score of maximum BOLD to center of extracted Component dipole is measured. Results BOLD clusters to spikes distances for concordant ( 50 mm) groups were significantly different (p  Conclusions This study demonstrated that BOLD changes were related to epileptic spikes in different brain regions in patients with refractory focal epilepsy. In a systematic quantitative approach, concordance levels based on the distance between center of maximum BOLD cluster and dipole were determined by Component-based EEG-fMRI method. Therefore, Component-based EEG-fMRI can be considered as a reliable predictor of SOZ in patients with focal epilepsy and included as part of clinical evaluation for patients with medically resistant epilepsy.

Hamid Soltanianzadeh - One of the best experts on this subject based on the ideXlab platform.

  • quantitative determination of concordance in localizing epileptic focus by Component based eeg fmri
    Computer Methods and Programs in Biomedicine, 2019
    Co-Authors: Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanianzadeh
    Abstract:

    Abstract Background and objective Accurate seizure onset zone (SOZ) localization is an essential step in pre-surgical assessment of patients with refractory focal epilepsy. Complex pathophysiology of epileptic cerebral structures, seizure types and frequencies have not been considered as influential features for accurate identification of SOZ using EEG-fMRI. There is a crucial need to quantitatively measure concordance between presumed SOZ and IED-related BOLD response in different brain regions to improve SOZ delineation. Methods A novel Component-based EEG-fMRI approach is proposed to measure physical distance between BOLD clusters and Selected Component dipole location using patient-specific high resolution anatomical images. The method is applied on 18 patients with refractory focal epilepsy to localize epileptic focus and determine concordance quantitatively and compare between maximum BOLD cluster with identified Component dipole. To measure concordance, distance from a voxel with maximal z-score of maximum BOLD to center of extracted Component dipole is measured. Results BOLD clusters to spikes distances for concordant ( 50 mm) groups were significantly different (p  Conclusions This study demonstrated that BOLD changes were related to epileptic spikes in different brain regions in patients with refractory focal epilepsy. In a systematic quantitative approach, concordance levels based on the distance between center of maximum BOLD cluster and dipole were determined by Component-based EEG-fMRI method. Therefore, Component-based EEG-fMRI can be considered as a reliable predictor of SOZ in patients with focal epilepsy and included as part of clinical evaluation for patients with medically resistant epilepsy.

Babak Nadjar Araabi - One of the best experts on this subject based on the ideXlab platform.

  • quantitative determination of concordance in localizing epileptic focus by Component based eeg fmri
    Computer Methods and Programs in Biomedicine, 2019
    Co-Authors: Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanianzadeh
    Abstract:

    Abstract Background and objective Accurate seizure onset zone (SOZ) localization is an essential step in pre-surgical assessment of patients with refractory focal epilepsy. Complex pathophysiology of epileptic cerebral structures, seizure types and frequencies have not been considered as influential features for accurate identification of SOZ using EEG-fMRI. There is a crucial need to quantitatively measure concordance between presumed SOZ and IED-related BOLD response in different brain regions to improve SOZ delineation. Methods A novel Component-based EEG-fMRI approach is proposed to measure physical distance between BOLD clusters and Selected Component dipole location using patient-specific high resolution anatomical images. The method is applied on 18 patients with refractory focal epilepsy to localize epileptic focus and determine concordance quantitatively and compare between maximum BOLD cluster with identified Component dipole. To measure concordance, distance from a voxel with maximal z-score of maximum BOLD to center of extracted Component dipole is measured. Results BOLD clusters to spikes distances for concordant ( 50 mm) groups were significantly different (p  Conclusions This study demonstrated that BOLD changes were related to epileptic spikes in different brain regions in patients with refractory focal epilepsy. In a systematic quantitative approach, concordance levels based on the distance between center of maximum BOLD cluster and dipole were determined by Component-based EEG-fMRI method. Therefore, Component-based EEG-fMRI can be considered as a reliable predictor of SOZ in patients with focal epilepsy and included as part of clinical evaluation for patients with medically resistant epilepsy.

Mahya Mirbagheri - One of the best experts on this subject based on the ideXlab platform.

  • quantitative determination of concordance in localizing epileptic focus by Component based eeg fmri
    Computer Methods and Programs in Biomedicine, 2019
    Co-Authors: Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanianzadeh
    Abstract:

    Abstract Background and objective Accurate seizure onset zone (SOZ) localization is an essential step in pre-surgical assessment of patients with refractory focal epilepsy. Complex pathophysiology of epileptic cerebral structures, seizure types and frequencies have not been considered as influential features for accurate identification of SOZ using EEG-fMRI. There is a crucial need to quantitatively measure concordance between presumed SOZ and IED-related BOLD response in different brain regions to improve SOZ delineation. Methods A novel Component-based EEG-fMRI approach is proposed to measure physical distance between BOLD clusters and Selected Component dipole location using patient-specific high resolution anatomical images. The method is applied on 18 patients with refractory focal epilepsy to localize epileptic focus and determine concordance quantitatively and compare between maximum BOLD cluster with identified Component dipole. To measure concordance, distance from a voxel with maximal z-score of maximum BOLD to center of extracted Component dipole is measured. Results BOLD clusters to spikes distances for concordant ( 50 mm) groups were significantly different (p  Conclusions This study demonstrated that BOLD changes were related to epileptic spikes in different brain regions in patients with refractory focal epilepsy. In a systematic quantitative approach, concordance levels based on the distance between center of maximum BOLD cluster and dipole were determined by Component-based EEG-fMRI method. Therefore, Component-based EEG-fMRI can be considered as a reliable predictor of SOZ in patients with focal epilepsy and included as part of clinical evaluation for patients with medically resistant epilepsy.

Lila Rajabion - One of the best experts on this subject based on the ideXlab platform.

  • quantitative determination of concordance in localizing epileptic focus by Component based eeg fmri
    Computer Methods and Programs in Biomedicine, 2019
    Co-Authors: Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanianzadeh
    Abstract:

    Abstract Background and objective Accurate seizure onset zone (SOZ) localization is an essential step in pre-surgical assessment of patients with refractory focal epilepsy. Complex pathophysiology of epileptic cerebral structures, seizure types and frequencies have not been considered as influential features for accurate identification of SOZ using EEG-fMRI. There is a crucial need to quantitatively measure concordance between presumed SOZ and IED-related BOLD response in different brain regions to improve SOZ delineation. Methods A novel Component-based EEG-fMRI approach is proposed to measure physical distance between BOLD clusters and Selected Component dipole location using patient-specific high resolution anatomical images. The method is applied on 18 patients with refractory focal epilepsy to localize epileptic focus and determine concordance quantitatively and compare between maximum BOLD cluster with identified Component dipole. To measure concordance, distance from a voxel with maximal z-score of maximum BOLD to center of extracted Component dipole is measured. Results BOLD clusters to spikes distances for concordant ( 50 mm) groups were significantly different (p  Conclusions This study demonstrated that BOLD changes were related to epileptic spikes in different brain regions in patients with refractory focal epilepsy. In a systematic quantitative approach, concordance levels based on the distance between center of maximum BOLD cluster and dipole were determined by Component-based EEG-fMRI method. Therefore, Component-based EEG-fMRI can be considered as a reliable predictor of SOZ in patients with focal epilepsy and included as part of clinical evaluation for patients with medically resistant epilepsy.