Automatic target validation based on neuroscientific literature mining for tractography.

ABSTRACT: Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumb

SUBMITTER: Vasques X 

PROVIDER: S-EPMC4445321 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature