| Application of independent component analysis for the data mining of simultaneous Eeg-fMRI: preliminary experience on sleep onset. | |
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MedLine Citation:
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PMID: 19922343 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Jong-Hwan Lee; Sungsuk Oh; Ferenc A Jolesz; Hyunwook Park; Seung-Schik Yoo |
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Publication Detail:
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Type: Case Reports; Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: The International journal of neuroscience Volume: 119 ISSN: 1563-5279 ISO Abbreviation: Int. J. Neurosci. Publication Date: 2009 |
Date Detail:
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Created Date: 2009-11-20 Completed Date: 2010-01-26 Revised Date: 2013-04-02 |
Medline Journal Info:
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Nlm Unique ID: 0270707 Medline TA: Int J Neurosci Country: England |
Other Details:
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Languages: eng Pagination: 1118-36 Citation Subset: IM |
Affiliation:
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Department of Radiology Brigham and Women's Hospital, Harvard Medical School, MA, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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:
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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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