Estimating anatomical trajectories with Bayesian mixed-effects modeling

NeuroImage

Volumn 121, Issue , 2015, Pages 51-68

  Ziegler, G ^a   Penny, W D ^a   Ridgway, G R ^a,b   Ourselin, S ^a,c   Friston, K J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian inference; Brain morphology; Dementia; Lifespan brain aging; Longitudinal analysis; Multi level models

Indexed keywords

AGING; ALZHEIMER DISEASE; ARTICLE; BAYES THEOREM; HUMAN; IMAGE PROCESSING; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; PROBABILITY; SIMULATION; STATISTICAL MODEL; VOXEL BASED MORPHOMETRY; AGED; ANATOMY AND HISTOLOGY; BRAIN; COGNITIVE DEFECT; FEMALE; HUMAN DEVELOPMENT; LONGITUDINAL STUDY; MALE; MIDDLE AGED; PATHOLOGY; PHYSIOLOGY; PROCEDURES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; AGING; ALZHEIMER DISEASE; BAYES THEOREM; BRAIN; COGNITIVE DYSFUNCTION; FEMALE; HUMAN DEVELOPMENT; HUMANS; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL;

EID: 84938683218     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.06.094     Document Type: Article

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