@article{e023bd49bb034014bd1c928c06e54713,
title = "How to Characterize the Function of a Brain Region",
abstract = "Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of {\textquoteleft}functions{\textquoteright}. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks.",
keywords = "brain mapping, BrainMap, data-driven, Functional specialization, MRI, Neurosynth",
author = "Sarah Genon and Andrew Reid and Robert Langner and Katrin Amunts and Eickhoff, {Simon B.}",
note = "Funding Information: Our work is supported by the Deutsche Forschungsgemeinschaft (DFG, GE 2835/1-1 , EI 816/4-1 ), the National Institute of Mental Health ( R01-MH074457 ), the Helmholtz Portfolio Theme {\textquoteleft}Supercomputing and Modelling for the Human Brain{\textquoteright}, and the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 7202070 (HBP SGA1). The authors thank Erin Sundermann and Alessandra Nostro for illustrative plots. Funding Information: Our work is supported by the Deutsche Forschungsgemeinschaft (DFG, GE 2835/1-1, EI 816/4-1), the National Institute of Mental Health (R01-MH074457), the Helmholtz Portfolio Theme?Supercomputing and Modelling for the Human Brain? and the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 7202070 (HBP SGA1). The authors thank Erin Sundermann and Alessandra Nostro for illustrative plots. Publisher Copyright: {\textcopyright} 2018 The Authors",
year = "2018",
month = apr,
doi = "10.1016/j.tics.2018.01.010",
language = "English",
volume = "22",
pages = "350--364",
journal = "Trends in Cognitive Sciences",
issn = "1364-6613",
publisher = "Elsevier Limited",
number = "4",
}