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Prediction As a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience

Overview
Journal Neuron
Publisher Cell Press
Specialty Neurology
Date 2015 Jan 9
PMID 25569345
Citations 259
Authors
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Abstract

Neuroimaging has greatly enhanced the cognitive neuroscience understanding of the human brain and its variation across individuals (neurodiversity) in both health and disease. Such progress has not yet, however, propelled changes in educational or medical practices that improve people's lives. We review neuroimaging findings in which initial brain measures (neuromarkers) are correlated with or predict future education, learning, and performance in children and adults; criminality; health-related behaviors; and responses to pharmacological or behavioral treatments. Neuromarkers often provide better predictions (neuroprognosis), alone or in combination with other measures, than traditional behavioral measures. With further advances in study designs and analyses, neuromarkers may offer opportunities to personalize educational and clinical practices that lead to better outcomes for people.

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References
1.
Aharoni E, Mallett J, Vincent G, Harenski C, Calhoun V, Sinnott-Armstrong W . Predictive accuracy in the neuroprediction of rearrest. Soc Neurosci. 2014; 9(4):332-6. PMC: 4059067. DOI: 10.1080/17470919.2014.907201. View

2.
Costafreda S, Khanna A, Mourao-Miranda J, Fu C . Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression. Neuroreport. 2009; 20(7):637-41. DOI: 10.1097/WNR.0b013e3283294159. View

3.
Mitte K . Meta-analysis of cognitive-behavioral treatments for generalized anxiety disorder: a comparison with pharmacotherapy. Psychol Bull. 2005; 131(5):785-95. DOI: 10.1037/0033-2909.131.5.785. View

4.
Whelan R, Watts R, Orr C, Althoff R, Artiges E, Banaschewski T . Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature. 2014; 512(7513):185-9. PMC: 4486207. DOI: 10.1038/nature13402. View

5.
Lopez R, Hofmann W, Wagner D, Kelley W, Heatherton T . Neural predictors of giving in to temptation in daily life. Psychol Sci. 2014; 25(7):1337-44. PMC: 4214912. DOI: 10.1177/0956797614531492. View