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Brian Patenaude
Researcher at Stanford University
Publications - 25
Citations - 6036
Brian Patenaude is an academic researcher from Stanford University. The author has contributed to research in topics: Major depressive disorder & Bayesian probability. The author has an hindex of 17, co-authored 25 publications receiving 5145 citations. Previous affiliations of Brian Patenaude include Veterans Health Administration & University of Oxford.
Papers
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Journal ArticleDOI
Bayesian analysis of neuroimaging data in FSL.
Mark W. Woolrich,Saâd Jbabdi,Brian Patenaude,Michael A. Chappell,Salima Makni,Timothy E.J. Behrens,Christian F. Beckmann,Christian F. Beckmann,Mark Jenkinson,Stephen M. Smith +9 more
TL;DR: How Bayesian techniques have made a significant impact in tackling problems such as neuroimaging problems, particularly in regards to the analysis tools in the FMRIB Software Library (FSL), is described.
Journal ArticleDOI
A Bayesian model of shape and appearance for subcortical brain segmentation
TL;DR: A fully-automated segmentation method that uses manually labelled image data to provide anatomical training information and is assessed both quantitatively, using Leave-One-Out testing on the 336 training images, and qualitatively,Using an independent clinical dataset involving Alzheimer's disease.
Journal ArticleDOI
Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior
Emily A. Ferenczi,Kelly A. Zalocusky,Conor Liston,Logan Grosenick,Melissa R. Warden,Debha Amatya,Kiefer Katovich,Hershel Mehta,Brian Patenaude,Charu Ramakrishnan,Paul Kalanithi,Amit Etkin,Brian Knutson,Gary H. Glover,Karl Deisseroth,Karl Deisseroth,Karl Deisseroth +16 more
TL;DR: Optogenetic and brain imaging approaches reveal a causal brainwide dynamical mechanism for the hedonic-anhedonic transition and test the hypothesis that elevated medial prefrontal cortex (mPFC) excitability exerts suppressive control over the interactions between two distant subcortical regions: the dopaminergic midbrain and the striatum.
Journal ArticleDOI
An evaluation of four automatic methods of segmenting the subcortical structures in the brain.
K. O. Babalola,Brian Patenaude,Paul Aljabar,Julia A. Schnabel,David N. Kennedy,William R. Crum,Stephen M. Smith,Timothy F. Cootes,Mark Jenkinson,Daniel Rueckert +9 more
TL;DR: Four novel methods of fully automated segmentation of subcortical structures using volumetric, spatial overlap and distance-based measures are evaluated and it is shown that all four methods perform on par with recently published methods.
Journal ArticleDOI
Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease
Mojtaba Zarei,Mojtaba Zarei,Brian Patenaude,Jessica S. Damoiseaux,Ciro Morgese,Steve M. Smith,Paul M. Matthews,Frederik Barkhof,Serge A.R.B. Rombouts,Ernesto J. Sanz-Arigita,Mark Jenkinson +10 more
TL;DR: MRI evidence of regional thalamic degeneration in AD is provided and it is suggested that ventral and dorsal-medial shape change in the thalamus in AD patients is likely to be driven by IML atrophy.