Inter-subject alignment of human cortical anatomy using functional connectivity

Bryan R. Conroy, Benjamin D. Singer, J. Swaroop Guntupalli, Peter J. Ramadge, James V. Haxby

Research output: Contribution to journalArticle

61 Scopus citations

Abstract

Inter-subject alignment of functional MRI (fMRI) data is necessary for group analyses. The standard approach to this problem matches anatomical features of the brain, such as major anatomical landmarks or cortical curvature. Precise alignment of functional cortical topographies, however, cannot be derived using only anatomical features.We propose a new inter-subject registration algorithm that aligns intra-subject patterns of functional connectivity across subjects. We derive functional connectivity patterns by correlating fMRI BOLD time-series, measured during movie viewing, between spatially remote cortical regions. We validate our technique extensively on real fMRI experimental data and compare our method to two state-of-the-art inter-subject registration algorithms. By cross-validating our method on independent datasets, we show that the derived alignment generalizes well to other experimental paradigms.

Original languageEnglish (US)
Pages (from-to)400-411
Number of pages12
JournalNeuroimage
Volume81
DOIs
StatePublished - Nov 1 2013

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience

Keywords

  • Functional connectivity
  • Inter-subject registration
  • Surface-based methods

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