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Alan C. Evans
Researcher at Montreal Neurological Institute and Hospital
Publications - 898
Citations - 147363
Alan C. Evans is an academic researcher from Montreal Neurological Institute and Hospital. The author has contributed to research in topics: Population & Brain mapping. The author has an hindex of 183, co-authored 866 publications receiving 134642 citations. Previous affiliations of Alan C. Evans include University College Dublin & University of California, Los Angeles.
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Journal ArticleDOI
Brain development during childhood and adolescence: a longitudinal MRI study.
Jay N. Giedd,Jonathan D. Blumenthal,Neal Jeffries,F X Castellanos,Hong Liu,Alex P. Zijdenbos,Tomáš Paus,Alan C. Evans,Judith L. Rapoport +8 more
TL;DR: This large-scale longitudinal pediatric neuroimaging study confirmed linear increases in white matter, but demonstrated nonlinear changes in cortical gray matter, with a preadolescent increase followed by a postadolescent decrease.
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A nonparametric method for automatic correction of intensity nonuniformity in MRI data
TL;DR: A novel approach to correcting for intensity nonuniformity in magnetic resonance (MR) data is described that achieves high performance without requiring a model of the tissue classes present, and is applied at an early stage in an automated data analysis, before a tissue model is available.
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Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
TL;DR: A fully automatic registration method to map volumetric data into stereotaxic space that yields results comparable with those of manually based techniques and therefore does not suffer the drawbacks involved in user intervention.
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A unified statistical approach for determining significant signals in images of cerebral activation.
TL;DR: A unified statistical theory for assessing the significance of apparent signal observed in noisy difference images is presented and an estimate of the P‐value for local maxima of Gaussian, t, χ2 and F fields over search regions of any shape or size in any number of dimensions is estimated.
Journal ArticleDOI
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
John C. Mazziotta,Arthur W. Toga,Alan C. Evans,Peter T. Fox,Jack L. Lancaster,Karl Zilles,Roger P. Woods,Tomáš Paus,G. Simpson,B. Pike,Colin J. Holmes,Laura C. Collins,Paul M. Thompson,D. MacDonald,Marco Iacoboni,T. Schormann,Katrin Amunts,Nicola Palomero-Gallagher,S. Geyer,L. Parsons,Katherine L. Narr,N. Kabani,G. le Goualher,Dorret I. Boomsma,Tyrone D. Cannon,R. Kawashima,Bernard Mazoyer +26 more
TL;DR: The ability to quantify the variance of the human brain as a function of age in a large population of subjects for whom data is also available about their genetic composition and behaviour will allow for the first assessment of cerebral genotype-phenotype-behavioural correlations in humans to take place in a population this large.