Document Detail

Limits of 2D-TCA in detecting BOLD responses to epileptic activity.
MedLine Citation:
PMID:  21353479     Owner:  NLM     Status:  Publisher    
Two-dimensional temporal clustering analysis (2D-TCA) is a relatively new functional MRI (fMRI) based technique that breaks blood oxygen level dependent activity into separate components based on timing and has shown potential for localizing epileptic activity independently of electroencephalography (EEG). 2D-TCA has only been applied to detect epileptic activity in a few studies and its limits in detecting activity of various forms (i.e. activation size, amplitude, and frequency) have not been investigated. This study evaluated 2D-TCA's ability to detect various forms of both simulated epileptic activity and EEG-fMRI activity detected in patients. When applied to simulated data, 2D-TCA consistently detected activity in 6min runs containing 5 spikes/run, 10 spikes/run, and one 5s long event with hemodynamic response function amplitudes of at least 1.5%, 1.25%, and 1% above baseline respectively. When applied to patient data, while detection of interictal spikes was inconsistent, 2D-TCA consistently produced results similar to those obtained by EEG-fMRI when at least 2 prolonged interictal events (a few seconds each) occurred during the run. However, even for such cases it was determined that 2D-TCA can only be used to validate localization by other means or to create hypotheses as to where activity may occur, as it also detects changes not caused by epileptic activity.
Yasha Borna Khatamian; Firas Fahoum; Jean Gotman
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-24
Journal Detail:
Title:  Epilepsy research     Volume:  -     ISSN:  1872-6844     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8703089     Medline TA:  Epilepsy Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier B.V. All rights reserved.
Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Canada H3A 2B4.
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