M
Moo K. Chung
Researcher at University of Wisconsin-Madison
Publications - 224
Citations - 7742
Moo K. Chung is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Smoothing & Persistent homology. The author has an hindex of 39, co-authored 206 publications receiving 6769 citations. Previous affiliations of Moo K. Chung include Natural Sciences and Engineering Research Council & Seoul National University.
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Journal ArticleDOI
A unified statistical approach to deformation-based morphometry.
Moo K. Chung,Keith J. Worsley,Keith J. Worsley,Tomáš Paus,C. Cherif,D.L. Collins,Jay N. Giedd,Judith L. Rapoport,Alan C. Evans +8 more
TL;DR: A unified statistical framework for analyzing temporally varying brain morphology using the 3D displacement vector field from a nonlinear deformation required to register a subject's brain to an atlas brain is presented.
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Early stress is associated with alterations in the orbitofrontal cortex: a tensor-based morphometry investigation of brain structure and behavioral risk.
Jamie L. Hanson,Moo K. Chung,Brian B. Avants,Elizabeth A. Shirtcliff,James C. Gee,Richard J. Davidson,Seth D. Pollak +6 more
TL;DR: It is shown that alterations in the orbitofrontal cortex among individuals who experienced physical abuse are related to social difficulties, suggesting a biological mechanism linking early social learning to later behavioral outcomes.
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Functional but not structural subgenual prefrontal cortex abnormalities in melancholia
Diego A. Pizzagalli,T.R. Oakes,Andrew S. Fox,Moo K. Chung,Christine L. Larson,Heather C. Abercrombie,Stacey M. Schaefer,Ruth M. Benca,Richard J. Davidson +8 more
TL;DR: It is suggested that subgenual PFC dysfunction in melancholia may be associated with blunted hedonic response and exaggerated stress responsiveness, and a negative correlation between gray matter density and age emerged.
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Cortical thickness analysis in autism with heat kernel smoothing.
Moo K. Chung,Steven M. Robbins,Kim M. Dalton,Richard J. Davidson,Andrew L. Alexander,Alan C. Evans +5 more
TL;DR: A framework for geodesic distance-based kernel smoothing and statistical analysis on the cortical manifolds is developed and applied in detecting the regions of abnormal cortical thickness in 16 high functioning autistic children via random field based multiple comparison correction that utilizes the new smoothing technique.
Journal ArticleDOI
SurfStat: A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory
Keith J. Worsley,Jonathan Taylor,Felix Carbonell,Moo K. Chung,E Duerden,Boris C. Bernhardt,Oliver C. Lyttelton,Maxime Boucher,Alan C. Evans +8 more
TL;DR: SurfStat: A Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory is presented.