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

doi:10.1038/nrn2461

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

Vice Chancellor's Office

Yale University
Department of Experimental Psychology
University of Bristol
Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Comment/debate › peer-review

198 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 language	English
Pages (from-to)	710-720
Number of pages	11
Journal	Nature Reviews Neuroscience
Volume	9
Issue number	9
Early online date	13 Aug 2008
DOIs	https://doi.org/10.1038/nrn2461
Publication status	Published - 30 Sept 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

General Neuroscience

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10.1038/nrn2461

Cite this

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

Abstract

UN SDGs

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