A Method to Fuse fMRI Tasks Through Spatial Correlations: Applied to Schizophrenia

Andrew M Michael; Stefi A Baum; Jill F Fries; Beng-Choon Ho; Ronald K Pierson; Nancy C Andreasen; Vince D Calhoun

doi:10.1002/hbm.20691

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A Method to Fuse fMRI Tasks Through Spatial Correlations: Applied to Schizophrenia

Journal article

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A Method to Fuse fMRI Tasks Through Spatial Correlations: Applied to Schizophrenia

Andrew M Michael, Stefi A Baum, Jill F Fries, Beng-Choon Ho, Ronald K Pierson, Nancy C Andreasen and Vince D Calhoun

Human brain mapping, Vol.30(8), pp.2512-2529

08/2009

DOI: 10.1002/hbm.20691

PMCID: PMC2711995

PMID: 19235877

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Abstract

Single task analysis methods of functional MRI brain data, though useful, are not able to evaluate the joint information between tasks. Data fusion of multiple tasks that probe different cognitive processes provides knowledge of the joint information and may be important in order to better understand the complex disorders such as schizophrenia. In this article, we introduce a simple but effective technique to fuse two tasks by computing the histogram of correlations for all possible combinations of whole brain voxels. The approach was applied to data derived from healthy controls and patients with schizophrenia from four different tasks, auditory oddball (target), auditory oddball (novel), Sternberg working memory, and sensorimotor. It was found that in four out of six task combinations patients’ intertask correlations were more positively correlated than controls’, in one combination the controls showed more positive correlations and in another there was no significant difference. The robustness of this result was checked with several testing techniques. The four task combinations for which patients had more positive correlation occurred at different scanning sessions and the task combination that showed the opposite result occurred within the same scanning session. Brain regions that showed high intertask correlations were found for both groups and regions that correlated differently between the two groups were identified. The approach introduced finds interesting results and new differential features that cannot be achieved through traditional methods.

data fusion

fMRI

spatial correlation

schizophrenia

inter-task correlation

Details

Title: Subtitle: A Method to Fuse fMRI Tasks Through Spatial Correlations: Applied to Schizophrenia
Creators: Andrew M Michael - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Stefi A Baum - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Jill F Fries - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Beng-Choon Ho - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Ronald K Pierson - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Nancy C Andreasen - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Vince D Calhoun - Department of ECE, University of New Mexico, Albuquerque, New Mexico
Resource Type: Journal article
Publication Details: Human brain mapping, Vol.30(8), pp.2512-2529
DOI: 10.1002/hbm.20691
PMID: 19235877
PMCID: PMC2711995
NLM abbreviation: Hum Brain Mapp
ISSN: 1065-9471
eISSN: 1097-0193
Language: English
Date published: 08/2009
Academic Unit: Psychiatry; Iowa Neuroscience Institute
Record Identifier: 9984003945002771

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