Perspectives

Nature Reviews Neuroscience 9, 710-720 (September 2008) | doi:10.1038/nrn2461

OpinionUsing genetic data in cognitive neuroscience: from growing pains to genuine insights

Adam E. Green1, Marcus R. Munafò2, Colin G. DeYoung1, John A. Fossella3, Jin Fan3,4 & Jeremy R. Gray1,5  About the authors

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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.

Author affiliations

  1. Adam E. Green, Colin G. DeYoung and Jeremy R. Gray are at the Department of Psychology, Yale University, New Haven, Connecticut 06520-8205, USA.
  2. Marcus R. Munafò is at the Department of Experimental Psychology, University of Bristol, Bristol, BS8 1TU, UK.
  3. John A. Fossella and Jin Fan are at the Department of Psychiatry, Mount Sinai School of Medicine, New York, 10029, New York, USA.
  4. Jin Fan is also at the Department of Neuroscience, Mount Sinai School of Medicine, New York, New York, 10029, USA.
  5. Jeremy R. Gray is also at the Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut 06520-8205, USA.

Correspondence to: Jeremy R. Gray1,5 Email: jeremy.gray@yale.edu

Published online 13 August 2008

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