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A human brain network specialized for abstract formal reasoning

Hope KeaniD, Alexander FungiD, Chiebuka Ohams, Jason A. CheniD, Josh Rule, Joshua B. TenenbaumiD, Steven T. PiantadosiiD, Evelina G. FedorenkoiD

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Abstract

Humans stand out in the animal kingdom for their ability to reason in highly abstract ways. Using a deep-data precision fMRI approach, we identify and richly characterize a network of frontal brain areas that support abstract formal reasoning. This abstract reasoning network robustly dissociates from the domain-general Multiple Demand network--the current leading candidate substrate of fluid intelligence--as well as from three other networks supporting high-level cognition: the language network, the intuitive physical reasoning network, and the social reasoning network. Finally, the areas of this network respond robustly during both deductive and inductive reasoning, during classic matrix reasoning problems, and when solving multiplication and division problems. This network may therefore support the most abstract forms of reasoning, possibly constituting a human-specific adaptation.

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