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Spatiotemporal group ICA applied to fMRI datasets

Kohler, Christian and Keck, Ingo R. and Gruber, Peter and Lie, Chuh-Hyoun and Specht, Karsten and Tomé, A. M. and Lang, Elmar (2008) Spatiotemporal group ICA applied to fMRI datasets. proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2008, pp. 4652-4655.

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Abstract

Exploratory data analysis techniques such as independent component analysis (ICA) do not depend on a priori hypotheses and are able to detect unknown, yet structured spatiotemporal processes in neuroimaging data. We present fMRI data of two different subject-groups (young and old), which performed a modified Wisconsin Card Sorting Test (WCST). Spatiotemporal ICA and SPM-generated brain maps of ...

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Item Type:Article
Date:2008
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
19163753PubMed ID
10.1109/IEMBS.2008.4650250DOI
Classification:
NotationType
AlgorithmsMESH
Automatic Data ProcessingMESH
Data Interpretation, StatisticalMESH
Databases, FactualMESH
HumansMESH
Magnetic Resonance Imaging/methodsMESH
Models, StatisticalMESH
Models, TheoreticalMESH
Neuropsychological TestsMESH
Reproducibility of ResultsMESH
SoftwareMESH
Task Performance and AnalysisMESH
Time FactorsMESH
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:12 Oct 2010 09:20
Last Modified:12 Oct 2010 09:20
Item ID:16964
Owner Only: item control page
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