TY - JOUR
T1 - Surface-based and probabilistic atlases of primate cerebral cortex.
AU - Van Essen, David C.
AU - Dierker, Donna L.
N1 - Funding Information:
We thank J. Harwell and P. Gu for superb software development; E. Reid for technical assistance; S. Danker for assistance in manuscript preparation; and K. Hansen, J. Zacks, A. Anticevic, J. Van Horn, and others for helpful comments. Supported by NIH Grant R01-MH-60974, funded by the National Institute of Mental Health, the National Institute for Biomedical Imaging and Bioengineering, and the National Science Foundation.
PY - 2007/10/25
Y1 - 2007/10/25
N2 - Brain atlases play an increasingly important role in neuroimaging, as they are invaluable for analysis, visualization, and comparison of results across studies. For both humans and macaque monkeys, digital brain atlases of many varieties are in widespread use, each having its own strengths and limitations. For studies of cerebral cortex there is particular utility in hybrid atlases that capitalize on the complementary nature of surface and volume representations, are based on a population average rather than an individual brain, and include measures of variation as well as averages. Linking different brain atlases to one another and to online databases containing a growing body of neuroimaging data will enable powerful forms of data mining that accelerate discovery and improve research efficiency.
AB - Brain atlases play an increasingly important role in neuroimaging, as they are invaluable for analysis, visualization, and comparison of results across studies. For both humans and macaque monkeys, digital brain atlases of many varieties are in widespread use, each having its own strengths and limitations. For studies of cerebral cortex there is particular utility in hybrid atlases that capitalize on the complementary nature of surface and volume representations, are based on a population average rather than an individual brain, and include measures of variation as well as averages. Linking different brain atlases to one another and to online databases containing a growing body of neuroimaging data will enable powerful forms of data mining that accelerate discovery and improve research efficiency.
UR - http://www.scopus.com/inward/record.url?scp=36348988250&partnerID=8YFLogxK
U2 - 10.1016/j.neuron.2007.10.015
DO - 10.1016/j.neuron.2007.10.015
M3 - Review article
C2 - 17964241
AN - SCOPUS:36348988250
SN - 0896-6273
VL - 56
SP - 209
EP - 225
JO - Neuron
JF - Neuron
IS - 2
ER -