Imperial College London
Alternate

Professor Paul M. Matthews

Faculty of Medicine, Department of Brain Sciences

Edmond and Lily Safra Chair, Head of Department
 
 
 
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Contact

 

+44 (0)20 7594 2855p.matthews

 
 
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Assistant

 

Ms Siobhan Dillon +44 (0)20 7594 2855

 
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Location

 

E502Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Poldrack:2017:10.1038/nrn.2016.167,
author = {Poldrack, RA and Baker, CI and Durnez, J and Gorgolewski, KJ and Matthews, PM and Munafo, MR and Nichols, TE and Poline, J-B and Vul, E and Yarkoni, T},
doi = {10.1038/nrn.2016.167},
journal = {Nature Reviews Neuroscience},
pages = {115--126},
title = {Scanning the horizon: towards transparent and reproducible neuroimaging research},
url = {http://dx.doi.org/10.1038/nrn.2016.167},
volume = {18},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions that are drawn from some human neuroimaging studies are either spurious or not generalizable. Problems such as low statistical power, flexibility in data analysis, software errors and a lack of direct replication apply to many fields, but perhaps particularly to functional MRI. Here, we discuss these problems, outline current and suggested best practices, and describe how we think the field should evolve to produce the most meaningful and reliable answers to neuroscientific questions.
AU  - Poldrack,RA
AU  - Baker,CI
AU  - Durnez,J
AU  - Gorgolewski,KJ
AU  - Matthews,PM
AU  - Munafo,MR
AU  - Nichols,TE
AU  - Poline,J-B
AU  - Vul,E
AU  - Yarkoni,T
DO  - 10.1038/nrn.2016.167
EP  - 126
PY  - 2017///
SN  - 1471-0048
SP  - 115
TI  - Scanning the horizon: towards transparent and reproducible neuroimaging research
T2  - Nature Reviews Neuroscience
UR  - http://dx.doi.org/10.1038/nrn.2016.167
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000393937700009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/45446
VL  - 18
ER  -
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