title: Neural substrates of data-driven scientific discovery: an fMRI study during performance of number series completion task.
abstract: Although much has been known about how humans psychologically perform data-driven scientific discovery, less has been known about its brain mechanism. The number series completion is a typical data-driven scientific discovery task, and has been demonstrated to possess the priming effect, which is attributed to the regularity identification and its subsequent extrapolation. In order to reduce the heterogeneities and make the experimental task proper for a brain imaging study, the number magnitude and arithmetic operation involved in number series completion tasks are further restricted. Behavioral performance in Experiment 1 shows the reliable priming effect for targets as expected. Then, a factorial design (the priming effect: prime vs. target; the period length: simple vs. complex) of event-related functional magnetic resonance imaging (fMRI) is used in Experiment 2 to examine the neural basis of data-driven scientific discovery. The fMRI results reveal a double dissociation of the left DLPFC (dorsolateral prefrontal cortex) and the left APFC (anterior prefrontal cortex) between the simple (period length=1) and the complex (period length=2) number series completion task. The priming effect in the left DLPFC is more significant for the simple task than for the complex task, while the priming effect in the left APFC is more significant for the complex task than for the simple task. The reliable double dissociation may suggest the different roles of the left DLPFC and left APFC in data-driven scientific discovery. The left DLPFC (BA 46) may play a crucial role in rule identification, while the left APFC (BA 10) may be related to mental set maintenance needed during rule identification and extrapolation.
authors.affiliation: The International WIC Institute, Beijing University of Technology, Beijing, 100124, China. zhong@maebashi-it.ac.jp
authors.forename: Ning
authors.initials: N
authors.lastname: Zhong
authors.forename: PeiPeng
authors.initials: P
authors.lastname: Liang
authors.forename: YuLin
authors.initials: Y
authors.lastname: Qin
authors.forename: ShengFu
authors.initials: S
authors.lastname: Lu
authors.forename: YanHui
authors.initials: Y
authors.lastname: Yang
authors.forename: KunCheng
authors.initials: K
authors.lastname: Li
mesh_terms: D000328:Adult; D001921:Brain / Q000473:pathology; D001931:Brain Mapping / Q000379:methods; D003071:Cognition; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009474:Neurons / Q000473:pathology; D017397:Prefrontal Cortex / Q000473:pathology*; D011597:Psychomotor Performance; D011930:Reaction Time; D013997:Time Factors