Title: Data-driven analysis of analogous brain networks in monkeys and humans during natural vision
Authors: Mantini, Dante
Corbetta, Maurizio
Romani, Gian Luca
Orban, Guy
Vanduffel, Wim # ×
Issue Date: 15-Nov-2012
Publisher: Academic Press
Series Title: NeuroImage vol:63 issue:3 pages:1107-1118
Article number: YNIMG9723
Abstract: Inferences about functional correspondences between functional networks of human and non-human primates largely rely on proximity and anatomical expansion models. However, it has been demonstrated
that topologically correspondent areas in two species can have different functional properties, suggesting
that anatomy-based approaches should be complemented with alternative methods to perform functional
comparisons. We have recently shown that comparative analyses based on temporal correlations of
sensory-driven fMRI responses can reveal functional correspondent areas in monkeys and humans without
relying on spatial assumptions. Inter-species activity correlation (ISAC) analyses require the definition of
seed areas in one species to reveal functional correspondences across the cortex of the same and other species. Here we propose an extension of the ISAC method that does not rely on any seed definition, hence a
method void of any spatial assumption. Specifically, we apply independent component analysis (ICA) separately to monkey and human data to define species-specific networks of areas with coherent stimulus-
related activity. Then, we use a hierarchical cluster analysis to identify ICA-based ISAC clusters of monkey
and human networks with similar timecourses. We implemented this approach on fMRI data collected in
monkeys and humans during movie watching, a condition that evokes widespread sensory-driven activity
throughout large portions of the cortex. Using ICA-based ISAC, we detected seven monkey–human clusters.
The timecourses of several clusters showed significant correspondences either with the motion energy in
the movie or with eye-movement parameters. Five of the clusters spanned putative homologous functional
networks in either primary or extrastriate visual regions, whereas two clusters included higher-level visual
areas at topological locations that are not predicted by cortical surface expansion models. Overall, our
ICA-based ISAC analysis complemented the findings of our previous seed-based investigations, and suggested
that functional processes can be executed by brain networks in different species that are functionally but not
necessarily anatomically correspondent. Overall, our method provides a novel approach to reveal
evolution-driven functional changes in the primate brain with no spatial assumptions.
ISSN: 1053-8119
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

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