A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data

Vince Daniel Calhoun, T. Adah, J. Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The acquisition of multiple brain imaging types for a given study is a very common practice. However these data are typically examined in separate analyses, rather than in a combined model. We propose a novel methodology to perform joint independent component analysis across image modalities, including structural MRI data, functional MRI activation data and EEG data, and to visualize the results via a joint histogram visualization technique. Evaluation of which combination of fused data is most useful is determined by using the Kullback-Leibler divergence. We demonstrate our method on a data set composed of functional MRI data from two tasks, structural MRI data, and EEG data collected on patients with schizophrenia and healthy controls. We show that combining data types can improve our ability to distinguish differences between groups.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages3672-3675
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

Fingerprint

Electroencephalography
Magnetic resonance imaging
Brain
Imaging techniques
Independent component analysis
Visualization
Chemical activation
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Bioengineering

Cite this

Calhoun, V. D., Adah, T., & Liu, J. (2006). A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 3672-3675). [4029510] https://doi.org/10.1109/IEMBS.2006.259810

A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. / Calhoun, Vince Daniel; Adah, T.; Liu, J.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 3672-3675 4029510.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Calhoun, VD, Adah, T & Liu, J 2006, A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings., 4029510, pp. 3672-3675, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 8/30/06. https://doi.org/10.1109/IEMBS.2006.259810
Calhoun VD, Adah T, Liu J. A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 3672-3675. 4029510 https://doi.org/10.1109/IEMBS.2006.259810
Calhoun, Vince Daniel ; Adah, T. ; Liu, J. / A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. pp. 3672-3675
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