title: Using genetic data in cognitive neuroscience: from growing pains to genuine insights.
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.
authors.affiliation: Department of Psychology, Yale University, New Haven, Connecticut 06520-8205, USA.
authors.forename: Adam E
authors.initials: AE
authors.lastname: Green
authors.forename: Marcus R
authors.initials: MR
authors.lastname: Munafò
authors.forename: Colin G
authors.initials: CG
authors.lastname: DeYoung
authors.forename: John A
authors.initials: JA
authors.lastname: Fossella
authors.forename: Jin
authors.initials: J
authors.lastname: Fan
authors.forename: Jeremy R
authors.initials: JR
authors.lastname: Gray
mesh_terms: D000818:Animals; D001519:Behavior / Q000502:physiology; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology; D003071:Cognition / Q000502:physiology*; D003952:Diagnostic Imaging; D006801:Humans; D008967:Molecular Biology; D009434:Neural Pathways / Q000502:physiology; D009488:Neurosciences / Q000379:methods* / Q000639:trends*; D010641:Phenotype