Paul McMahan Matthews

Paul McMahan Matthews

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Paul McMahan Matthews

Imperial College, London

Research Focus & Metrics

Academic Career Length

46Years (1981-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 March 2015 in PLOS Medicine
Verified
Journal Article
Open access
PDF file
CSCathie Sudlow
Cathie Sudlow
JGJohn Gallacher
John Gallacher
NANaomi Allen
Naomi Allen
VBValerie Beral
Valerie Beral
PBPaul Burton
Paul Burton
RCRory Collins
Rory Collins
Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.

1 January 2004 in NeuroImage
Verified
Journal Article
Closed access
SSStephen M. Smith
Stephen M. Smith
MJMark Jenkinson
Mark Jenkinson
MWMark W. Woolrich
Mark W. Woolrich
CBChristian F. Beckmann
Christian F. Beckmann
TBTimothy E.J. Behrens
Timothy E.J. Behrens
PMPaul M. Matthews
Paul M. Matthews

1 July 2006 in NeuroImage
Verified
Journal Article
Closed access
SSStephen M. Smith
Stephen M. Smith
MJMark Jenkinson
Mark Jenkinson
HJHeidi Johansen-Berg
Heidi Johansen-Berg
DRDaniel Rueckert
Daniel Rueckert
TNThomas E. Nichols
Thomas E. Nichols
TBTimothy E.J. Behrens
Timothy E.J. Behrens

24 October 2003 in Magnetic Resonance in Medicine
Verified
Journal Article
Open access
PDF file
TBT.E.J. Behrens
T.E.J. Behrens
MWM.W. Woolrich
M.W. Woolrich
MJM. Jenkinson
M. Jenkinson
HJH. Johansen‐Berg
H. Johansen‐Berg
RNR.G. Nunes
R.G. Nunes
SSS.M. Smith
S.M. Smith
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion. This technique is applied to the estimation of parameters in the diffusion tensor model, and also to a simple partial volume model of diffusion. In both cases the parameters of interest include parameters defining local fiber direction. A technique is then presented for using these density functions to estimate global connectivity (i.e., the probability of the existence of a connection through the data field, between any two distant points), allowing for the quantification of belief in tractography results. This technique is then applied to the estimation of the cortical connectivity of the human thalamus. The resulting connectivity distributions correspond well with predictions from invasive tracer methods in nonhuman primate. Magn Reson Med 50:1077–1088, 2003.

15 June 2003 in Nature Neuroscience
Verified
Journal Article
Closed access
PDF file
TBT E J Behrens
T E J Behrens
HJH Johansen-Berg
H Johansen-Berg
MWM W Woolrich
M W Woolrich
SSS M Smith
S M Smith
CWC A M Wheeler-Kingshott
C A M Wheeler-Kingshott
PMP M Matthews
P M Matthews

1 September 2002 in NeuroImage
Verified
Journal Article
Closed access
SSStephen M. Smith
Stephen M. Smith
YZYongyue Zhanga
Yongyue Zhanga
MJMark Jenkinsona
Mark Jenkinsona
JCJacqueline Chenab
Jacqueline Chenab
PMP.M. Matthews
P.M. Matthews
NSNicola De Stefano
Nicola De Stefano