Title: Interoperable atlases of the human brain
Authors: Amunts, Katrin ×
Hawrylycz, Michael J
Van Essen, David C
Van Horn, John D
Harel, Noam
Poline, Jean-Baptiste
De Martino, Federico
Bjaalie, Jan G
Dehaene-Lambertz, Ghislaine
Dehaene, Stanislas
Valdes-Sosa, Pedro A
Thirion, Bertrand
Zilles, Karl
Hill, Sean L
Abrams, Mathew Birdsall
Tass, Peter A
Vanduffel, Wim
Evans, Alan C
Eickhoff, Simon B #
Issue Date: 2014
Publisher: Academic Press
Series Title: NeuroImage vol:99 pages:525-532
Abstract: The last two decades have seen an unprecedented development of human brain mapping approaches at various spatial and temporal scales. Together, these have provided a large fundus of information on many different aspects
of the human brain including micro- and macrostructural segregation, regional specialization of function, connectivity, and temporal dynamics. Atlases are central in order to integrate such diverse information in a topographically meaningful way. It is noteworthy, that the brain mapping field has been developed along several major lines such as structure vs. function, postmortem vs. in vivo, individual features of the brain vs. population-based aspects, or slow vs. fast dynamics. In order to understand human brain organization, however,
it seems inevitable that these different lines are integrated and combined into amultimodal human brainmodel.
To this aim, we held aworkshop to determine the constraints of amulti-modal human brainmodel that are needed to enable (i) an integration of different spatial and temporal scales and data modalities into a common reference
system, and (ii) efficient data exchange and analysis. As detailed in this report, to arrive at fully interoperable
atlases of the human brain will still require much work at the frontiers of data acquisition, analysis, and representation. Among them, the lattermay provide themost challenging task, in particularwhen it comes to representing features of vastly different scales of space, time and abstraction. The potential benefits of such endeavor, however,clearly outweigh the problems, as only such kind of multi-modal human brain atlas may provide a starting point
from which the complex relationships between structure, function, and connectivity may be explored.
ISSN: 1053-8119
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory for Neuro- and Psychofysiology
× corresponding author
# (joint) last author

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