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research article

Investigating signal integration with canonical correlation analysis of fMRI brain activation data

Bruguier, Antoine
•
Preuschoff, Kerstin
•
Quartz, Steven
Show more
2008
Neuroimage

How the brain integrates signals from specific areas has been a longstanding critical question for neurobiologists. Two recent observations suggest a new approach to fMRI data analysis of this question. First, in many instances, the brain analyzes inputs by decomposing the information along several salient dimensions. For example, earlier work demonstrated that the brain splits a monetary gamble in terms of expected reward (ER) and variance of the reward (risk) [Preuschoff, K., Bossaerts, P., Quartz, S., 2006. Neural differentiation of expected reward and risk in human subcortical structures. Neuron 51, 381-390]. However, since ER and risk activate separate brain regions, the brain needs to integrate these activations to obtain an overall evaluation of the gamble. Second, recent evidence suggests that the correlation of the activity between neurons may serve a specific organizational purpose [Romo, R., Hernandez, A., Zainos, A., Salinas, E., 2003. Correlated neuronal discharges that increase coding efficiency during perceptual discrimination. Neuron 38, 649-657; Salinas, E., Sejnowski, T.J., 2001. Correlated neuronal activity and the flow of neural information. Nat. Rev. Neurosci. 2, 539]. Specifically, it is hypothesized that correlations allow brain regions to integrate several signals in a way that minimizes noise. Under this hypothesis, we show here that canonical correlation analysis of fMRI data identifies how the signals from several regions are combined. A general linear model then verifies whether the identified combination indeed activates a projection area in the brain. We illustrate the proposed procedure on data recorded while human subjects played a simple card game. We show that the brain adds the signals of ER and risk to form a measure that activates the medial prefrontal cortex, consistent with the role of this brain structure in the evaluation of monetary gambles. (c) 2008 Elsevier Inc. All rights reserved.

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Type
research article
DOI
10.1016/j.neuroimage.2008.01.062
Web of Science ID

WOS:000255837800004

Author(s)
Bruguier, Antoine
Preuschoff, Kerstin
Quartz, Steven
Bossaerts, Peter  
Date Issued

2008

Published in
Neuroimage
Volume

41

Start page

35

End page

44

Subjects

Structural Equation

•

Balloon Model

•

Population

•

Responses

•

Discrimination

•

Variability

•

Synchrony

•

Neurons

•

Systems

•

Cortex

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SFI-PB  
Available on Infoscience
November 30, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/61396
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