The functional connectivity of the human caudate: An application of meta-analytic connectivity modeling with behavioral filtering

Jennifer L. Robinson, Angela R. Laird, David C. Glahn, John Blangero, Manjit K. Sanghera, Luiz Pessoa, P. Mickle Fox, Angela Uecker, Gerhard Friehs, Keith A. Young, Jennifer L. Griffin, William R. Lovallo, Peter T Fox

Research output: Contribution to journalArticle

129 Citations (Scopus)

Abstract

Meta-analysis based techniques are emerging as powerful, robust tools for developing models of connectivity in functional neuroimaging. Here, we apply meta-analytic connectivity modeling to the human caudate to 1) develop a model of functional connectivity, 2) determine if meta-analytic methods are sufficiently sensitive to detect behavioral domain specificity within region-specific functional connectivity networks, and 3) compare meta-analytic driven segmentation to structural connectivity parcellation using diffusion tensor imaging. Results demonstrate strong coherence between meta-analytic and data-driven methods. Specifically, we found that behavioral filtering resulted in cognition and emotion related structures and networks primarily localized to the head of the caudate nucleus, while perceptual and action specific regions localized to the body of the caudate, consistent with early models of nonhuman primate histological studies and postmortem studies in humans. Diffusion tensor imaging (DTI) revealed support for meta-analytic connectivity modeling's (MACM) utility in identifying both direct and indirect connectivity. Our results provide further validation of meta-analytic connectivity modeling, while also highlighting an additional potential, namely the extraction of behavioral domain specific functional connectivity.

Original languageEnglish (US)
Pages (from-to)117-129
Number of pages13
JournalNeuroImage
Volume60
Issue number1
DOIs
StatePublished - Mar 2012

Fingerprint

Diffusion Tensor Imaging
Functional Neuroimaging
Caudate Nucleus
Cognition
Primates
Meta-Analysis
Emotions

Keywords

  • Caudate
  • DTI
  • Functional connectivity
  • MACM
  • Meta-analytic connectivity modeling

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

The functional connectivity of the human caudate : An application of meta-analytic connectivity modeling with behavioral filtering. / Robinson, Jennifer L.; Laird, Angela R.; Glahn, David C.; Blangero, John; Sanghera, Manjit K.; Pessoa, Luiz; Fox, P. Mickle; Uecker, Angela; Friehs, Gerhard; Young, Keith A.; Griffin, Jennifer L.; Lovallo, William R.; Fox, Peter T.

In: NeuroImage, Vol. 60, No. 1, 03.2012, p. 117-129.

Research output: Contribution to journalArticle

Robinson, JL, Laird, AR, Glahn, DC, Blangero, J, Sanghera, MK, Pessoa, L, Fox, PM, Uecker, A, Friehs, G, Young, KA, Griffin, JL, Lovallo, WR & Fox, PT 2012, 'The functional connectivity of the human caudate: An application of meta-analytic connectivity modeling with behavioral filtering', NeuroImage, vol. 60, no. 1, pp. 117-129. https://doi.org/10.1016/j.neuroimage.2011.12.010
Robinson, Jennifer L. ; Laird, Angela R. ; Glahn, David C. ; Blangero, John ; Sanghera, Manjit K. ; Pessoa, Luiz ; Fox, P. Mickle ; Uecker, Angela ; Friehs, Gerhard ; Young, Keith A. ; Griffin, Jennifer L. ; Lovallo, William R. ; Fox, Peter T. / The functional connectivity of the human caudate : An application of meta-analytic connectivity modeling with behavioral filtering. In: NeuroImage. 2012 ; Vol. 60, No. 1. pp. 117-129.
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