Universität zu Köln

Amunts, K., Hawrylycz, M. J., Van Essen, D. C., Van Horn, J. D., Harel, N., Poline, J. -B., De Martino, F., Bjaalie, J. G., Dehaene-Lambertz, G., Dehaene, S., Valdes-Sosa, P., Thirion, B., Zilles, K., Hill, S. L., Abrams, M. B., Tass, P. A., Vanduffel, W., Evans, A. C. and Eickhoff, S. B. (2014). Interoperable atlases of the human brain. Neuroimage, 99. S. 525 - 533. SAN DIEGO: ACADEMIC PRESS INC ELSEVIER SCIENCE. ISSN 1095-9572

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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 a multimodal human brain model. To this aim, we held a workshop to determine the constraints of a multi-modal human brain model 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 latter may provide the most challenging task, in particular when 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. (C) 2014 Elsevier Inc. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Amunts, K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hawrylycz, M. J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Van Essen, D. C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Van Horn, J. D. UNSPECIFIED UNSPECIFIED UNSPECIFIED Harel, N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Poline, J. -B. UNSPECIFIED UNSPECIFIED UNSPECIFIED De Martino, F. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bjaalie, J. G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Dehaene-Lambertz, G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Dehaene, S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Valdes-Sosa, P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Thirion, B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Zilles, K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hill, S. L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Abrams, M. B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Tass, P. A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Vanduffel, W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Evans, A. C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Eickhoff, S. B. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-428362
DOI:	10.1016/j.neuroimage.2014.06.010
Journal or Publication Title:	Neuroimage
Volume:	99
Page Range:	S. 525 - 533
Date:	2014
Publisher:	ACADEMIC PRESS INC ELSEVIER SCIENCE
Place of Publication:	SAN DIEGO
ISSN:	1095-9572
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WHITE-MATTER TRACTS; FUNCTIONAL CORRESPONDENCE; MONKEY; AREAS; FMRI; CONNECTIVITY; VARIABILITY; ASYMMETRY; ALIGNMENT; ANATOMY Multiple languages Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/42836