Using genetic data in cognitive neuroscience: From growing pains to genuine insights

Adam E. Green, Marcus R. Munafò, Colin G. DeYoung, John A. Fossella, Jin Fan, Jeremy R. Gray

Research output: Contribution to journalComment/debatepeer-review

192 Citations (SciVal)

Abstract

Research that combines genetic and cognitive neuroscience data aims to elucidate the mechanisms that underlie human behaviour and experience by way of 'intermediate phenotypes': variations in brain function. Using neuroimaging and other methods, this approach is poised to make the transition from health-focused investigations to inquiries into cognitive, affective and social functions, including ones that do not readily lend themselves to animal models. The growing pains of this emerging field are evident, yet there are also reasons for a measured optimism.

Original languageEnglish
Pages (from-to)710-720
Number of pages11
JournalNature Reviews Neuroscience
Volume9
Issue number9
Early online date13 Aug 2008
DOIs
Publication statusPublished - 30 Sept 2008

ASJC Scopus subject areas

  • General Neuroscience

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