Document Detail


Application of independent component analysis for the data mining of simultaneous Eeg-fMRI: preliminary experience on sleep onset.
MedLine Citation:
PMID:  19922343     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The simultaneous acquisition of electroencephalogram (EEG) and functional MRI (fMRI) signals is potentially advantageous because of the superior resolution that is achieved in both the temporal and spatial domains, respectively. However, ballistocardiographic artifacts along with ocular artifacts are a major obstacle for the detection of the EEG signatures of interest. Since the sources corresponding to these artifacts are independent from those producing the EEG signatures, we applied the Infomax-based independent component analysis (ICA) technique to separate the EEG signatures from the artifacts. The isolated EEG signatures were further utilized to model the canonical hemodynamic response functions (HRFs). Subsequently, the brain areas from which these EEG signatures originated were identified as locales of activation patterns from the analysis of fMRI data. Upon the identification and subsequent evaluation of brain areas generating interictal epileptic discharge (IED) spikes from an epileptic subject, the presented method was successfully applied to detect the theta and alpha rhythms that are sleep onset-related EEG signatures along with the subsequent neural circuitries from a sleep-deprived volunteer. These results suggest that the ICA technique may be useful for the preprocessing of simultaneous EEG-fMRI acquisitions, especially when a reference paradigm is unavailable.
Authors:
Jong-Hwan Lee; Sungsuk Oh; Ferenc A Jolesz; Hyunwook Park; Seung-Schik Yoo
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Publication Detail:
Type:  Case Reports; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  The International journal of neuroscience     Volume:  119     ISSN:  1563-5279     ISO Abbreviation:  Int. J. Neurosci.     Publication Date:  2009  
Date Detail:
Created Date:  2009-11-20     Completed Date:  2010-01-26     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  0270707     Medline TA:  Int J Neurosci     Country:  England    
Other Details:
Languages:  eng     Pagination:  1118-36     Citation Subset:  IM    
Affiliation:
Department of Radiology Brigham and Women's Hospital, Harvard Medical School, MA, USA.
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Artifacts
Brain / anatomy & histology,  physiology
Data Interpretation, Statistical
Databases, Factual
Electroencephalography / statistics & numerical data*
Epilepsy / physiopathology
Humans
Magnetic Resonance Imaging / statistics & numerical data*
Male
Principal Component Analysis
Sleep / physiology*
Sleep Deprivation / physiopathology
Software
Grant Support
ID/Acronym/Agency:
R01 NS048242-01A1/NS/NINDS NIH HHS; R01-NS048242/NS/NINDS NIH HHS; U41 RR019703/RR/NCRR NIH HHS; U41 RR019703-01A2/RR/NCRR NIH HHS; U41RR019703/RR/NCRR NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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