Econometrics and Statistics
Part B: Statistics
CALL FOR PAPERS
Special Issue on NEUROIMAGING
http://www.elsevier.com/locate/ecosta
Statistics in neuroimaging is a challenging field due to many factors,
including complex spatial and temporal patterns and correlations due
to the complexity of the anatomy and function of the brain itself, as
well as the many preprocessing steps that ultimately change the
structure of the data. Over the past 20 years, statisticians and
neuroimagers have been making strides into understanding and resolving
these complexities. Yet, faster than problems are solved, new
questions arise. In this special issue on Neuroimaging we focus
on new and novel statistical theory, methods and applications that aim
to resolve cutting-edge problems in Neuroimaging.
We welcome submissions that cover all aspects of statistical analysis
of Neuroimaging data. These include, but are not limited to, the
statistical analysis of structural and functional MRI (fMRI), PET,
EEG, MEG, optical imaging methods, network analysis, and resting state
fMRI. We are interested in theoretical developments, novel
statistical methods and models, machine learning algorithms, big data
methods, and applications of existing statistical methods to new
problems.
Submissions will be refereed according to standard procedures for
Econometrics and Statistics. Information about the journal can be
found at http://www.elsevier.com/locate/ecosta.
The deadline for submissions is 30 April 2018. However,
papers can be submitted at any time and once they are received, they
will enter the editorial system immediately. Papers for the special
issue should be submitted using the Elsevier Electronic Submission
tool EES: http://ees.elsevier.com/ecosta. In the EES, please choose
the special issue on "NEUROIMAGING".
The special issue editors:
Armin Schwartzman, University of California, San Diego, USA
Email: [log in to unmask]
Timothy D. Johnson, University of Michigan, USA
Email: [log in to unmask]
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