AUTHOR=Musegaas Marieke , Dietzenbacher Bas J. , Borm Peter E. M. 

TITLE=On Shapley Ratings in Brain Networks

JOURNAL=Frontiers in Neuroinformatics

VOLUME=10

YEAR=2016

URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2016.00051

DOI=10.3389/fninf.2016.00051

ISSN=1662-5196

ABSTRACT=<p>We consider the problem of computing the influence of a neuronal structure in a brain network. Abraham et al. (<xref ref-type="bibr" rid="B1">2006</xref>) computed this influence by using the Shapley value of a coalitional game corresponding to a directed network as a rating. Kötter et al. (<xref ref-type="bibr" rid="B3">2007</xref>) applied this rating to large-scale brain networks, in particular to the macaque visual cortex and the macaque prefrontal cortex. Our aim is to improve upon the above technique by measuring the importance of subgroups of neuronal structures in a different way. This new modeling technique not only leads to a more intuitive coalitional game, but also allows for specifying the relative influence of neuronal structures and a direct extension to a setting with missing information on the existence of certain connections.</p>