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Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging.

Publication ,  Journal Article
Lahey, BB; McNealy, K; Knodt, A; Zald, DH; Sporns, O; Manuck, SB; Flory, JD; Applegate, B; Rathouz, PJ; Hariri, AR
Published in: NeuroImage
May 2012

Functional neuroimaging often generates large amounts of data on regions of interest. Such data can be addressed effectively with a widely-used statistical technique based on measurement theory that has not yet been applied to neuroimaging. Confirmatory factor analysis is a convenient hypothesis-driven modeling environment that can be used to conduct formal statistical tests comparing alternative hypotheses regarding the elements of putative neuronal networks. In such models, measures of each activated region of interest are treated as indicators of an underlying latent construct that represents the contemporaneous activation of the elements in the network. As such, confirmatory factor analysis focuses analyses on the activation of hypothesized networks as a whole, improves statistical power by modeling measurement error, and provides a theory-based approach to data reduction with a robust statistical basis. This approach is illustrated using data on seven regions of interest in a hypothesized mesocorticostriatal reward system in a sample of 262 adult volunteers assessed during a card-guessing reward task. A latent construct reflecting contemporaneous activation of the reward system was found to be significantly associated with a latent construct measuring impulsivity, particularly in males.

Duke Scholars

Published In

NeuroImage

DOI

EISSN

1095-9572

ISSN

1053-8119

Publication Date

May 2012

Volume

60

Issue

4

Start / End Page

1982 / 1991

Related Subject Headings

  • Young Adult
  • Neurology & Neurosurgery
  • Models, Theoretical
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Factor Analysis, Statistical
  • Brain Mapping
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lahey, B. B., McNealy, K., Knodt, A., Zald, D. H., Sporns, O., Manuck, S. B., … Hariri, A. R. (2012). Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging. NeuroImage, 60(4), 1982–1991. https://doi.org/10.1016/j.neuroimage.2012.02.002
Lahey, Benjamin B., Kristin McNealy, Annchen Knodt, David H. Zald, Olaf Sporns, Stephen B. Manuck, Janine D. Flory, Brooks Applegate, Paul J. Rathouz, and Ahmad R. Hariri. “Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging.NeuroImage 60, no. 4 (May 2012): 1982–91. https://doi.org/10.1016/j.neuroimage.2012.02.002.
Lahey BB, McNealy K, Knodt A, Zald DH, Sporns O, Manuck SB, et al. Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging. NeuroImage. 2012 May;60(4):1982–91.
Lahey, Benjamin B., et al. “Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging.NeuroImage, vol. 60, no. 4, May 2012, pp. 1982–91. Epmc, doi:10.1016/j.neuroimage.2012.02.002.
Lahey BB, McNealy K, Knodt A, Zald DH, Sporns O, Manuck SB, Flory JD, Applegate B, Rathouz PJ, Hariri AR. Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging. NeuroImage. 2012 May;60(4):1982–1991.
Journal cover image

Published In

NeuroImage

DOI

EISSN

1095-9572

ISSN

1053-8119

Publication Date

May 2012

Volume

60

Issue

4

Start / End Page

1982 / 1991

Related Subject Headings

  • Young Adult
  • Neurology & Neurosurgery
  • Models, Theoretical
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Factor Analysis, Statistical
  • Brain Mapping