Jonathan Rizzo Polimeni1, Thomas Witzel1,2,
Bruce Fischl1,3, Douglas N. Greve1,
1Athinoula A. Martinos Center for
Biomedical Imaging, Department of Radiology, Harvard Medical School,
Massachusetts General Hospital, Charlestown, MA, United States; 2Harvard-MIT
Division of Health Sciences and Technology, Massachusetts Institute of
Technology, Cambridge, MA, United States; 3Computer Science and AI
Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, United
States
High-resolution
7T fMRI together with laminar surface-based analysis is utilized to assess
the ability of laminar-specific comparisons to differentiate resting state
correlations stemming from direct cortical-to-cortical connections from
correlations arising from common-source input. We show that the Layer II/III
outputs of human V1 are more highly correlated to the Layer IV inputs of
area MT than to other layers, while each layer of V1 is maximally correlated
with the same layer in the V1 of the opposite hemisphere. This suggests that
laminar analysis of functional connectivity can help identify correlations
that may be attributable to indirect connections through common inputs.