A compact and realistic cerebral cortical layout derived from prewhitened resting-state fMRI time series: Cherniak's adjacency rule, size law, and metamodule grouping upheld

Scott M. Lewis, Peka Christova, Trenton A. Jerde, Apostolos P Georgopoulos

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We used hierarchical tree clustering to derive a functional organizational chart of 52 human cortical areas (26 per hemisphere) from zero-lag correlations calculated between single-voxel, prewhitened, resting-state BOLD fMRI time series in 18 subjects. No special "resting-state networks" were identified. There were four major features in the resulting tree (dendrogram). First, there was a strong clustering of homotopic, left-right hemispheric areas. Second, cortical areas were concatenated in multiple, partially overlapping clusters. Third, the arrangement of the areas revealed a layout that closely resembled the actual layout of the cerebral cortex, namely an orderly progression from anterior to posterior. And fourth, the layout of the cortical areas in the tree conformed to principles of efficient, compact layout of components proposed by Cherniak. Since the tree was derived on the basis of the strength of neural correlations, these results document an orderly relation between functional interactions and layout, i.e., between structure and function.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalFrontiers in Neuroanatomy
Issue numberSEPTEMBER
DOIs
StatePublished - Sep 6 2012

Keywords

  • Brain networks
  • Hierarchical tree modeling
  • Resting state fMRI

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