Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSPROCHA, Armando Freitas daROCHA, Fabio TheotoMASSAD, Eduardo2017-11-272017-11-272011PLOS ONE, v.6, n.3, article ID e17355, 13p, 20111932-6203https://observatorio.fm.usp.br/handle/OPI/23089Background: Various neuroimaging studies, both structural and functional, have provided support for the proposal that a distributed brain network is likely to be the neural basis of intelligence. The theory of Distributed Intelligent Processing Systems (DIPS), first developed in the field of Artificial Intelligence, was proposed to adequately model distributed neural intelligent processing. In addition, the neural efficiency hypothesis suggests that individuals with higher intelligence display more focused cortical activation during cognitive performance, resulting in lower total brain activation when compared with individuals who have lower intelligence. This may be understood as a property of the DIPS. Methodology and Principal Findings: In our study, a new EEG brain mapping technique, based on the neural efficiency hypothesis and the notion of the brain as a Distributed Intelligence Processing System, was used to investigate the correlations between IQ evaluated with WAIS (Whechsler Adult Intelligence Scale) and WISC (Wechsler Intelligence Scale for Children), and the brain activity associated with visual and verbal processing, in order to test the validity of a distributed neural basis for intelligence. Conclusion: The present results support these claims and the neural efficiency hypothesis.engopenAccessgraph-theoretical analysissex-differencesfunctional connectivitygeneral intelligenceneural efficiencydevelopmental theorynetworksneuroscienceperformanceintegrationThe Brain as a Distributed Intelligent Processing System: An EEG StudyarticleCopyright PUBLIC LIBRARY SCIENCE10.1371/journal.pone.0017355Multidisciplinary Sciences