Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations

Gagan S. Wig, Timothy O. Laumann, Alexander L. Cohen, Jonathan D. Power, Steven M. Nelson, Matthew F. Glasser, Francis M. Miezin, Abraham Z. Snyder, Bradley L. Schlaggar, Steven E. Petersen

Research output: Contribution to journalArticle

70 Scopus citations

Abstract

We describe methods for parcellating an individual subject's cortical and subcortical brain structures using resting-state functional correlations (RSFCs). Inspired by approaches from social network analysis, we first describe the application of snowball sampling on RSFC data (RSFC-Snowballing) to identify the centers of cortical areas, subdivisions of subcortical nuclei, and the cerebellum. RSFC-Snowballing parcellation is then compared with parcellation derived from identifying locations where RSFC maps exhibit abrupt transitions (RSFC-Boundary Mapping). RSFC-Snowballing and RSFC-Boundary Mapping largely complement one another, but also provide unique parcellation information; together, the methods identify independent entities with distinct functional correlations across many cortical and subcortical locations in the brain. RSFC parcellation is relatively reliable within a subject scanned across multiple days, and while the locations of many area centers and boundaries appear to exhibit considerable overlap across subjects, there is also cross-subject variability - reinforcing the motivation to parcellate brains at the level of individuals. Finally, examination of a large meta-analysis of taskevoked functional magnetic resonance imaging data reveals that area centers defined by task-evoked activity exhibit correspondence with area centers defined by RSFC-Snowballing. This observation provides important evidence for the ability of RSFC to parcellate broad expanses of an individual's brain into functionally meaningful units.

Original languageEnglish
Pages (from-to)2036-2054
Number of pages19
JournalCerebral Cortex
Volume24
Issue number8
DOIs
StatePublished - Aug 2014

Keywords

  • Boundary mapping
  • Brain area parcellation
  • Brain networks
  • Individual differences
  • Resting-state functional correlations
  • Snowball sampling

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    Wig, G. S., Laumann, T. O., Cohen, A. L., Power, J. D., Nelson, S. M., Glasser, M. F., Miezin, F. M., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014). Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations. Cerebral Cortex, 24(8), 2036-2054. https://doi.org/10.1093/cercor/bht056