A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging

NeuroImage

Volumn 134, Issue , 2016, Pages 658-670

  Bilgel, Murat ^a,b,c   Prince, Jerry L ^a,b,d   Wong, Dean F ^b   Resnick, Susan M ^c   Jedynak, Bruno M ^e  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d Johns Hopkins University   (United States)

^e PORTLAND STATE UNIVERSITY   (United States)

Author keywords

Amyloid imaging; Longitudinal image analysis; Progression score

Indexed keywords

AMYLOID BETA PROTEIN; BIOLOGICAL MARKER;

AGED; ALZHEIMER DISEASE; ARTICLE; BIOACCUMULATION; CONTROLLED STUDY; DISEASE COURSE; FEMALE; HUMAN; IMAGE ANALYSIS; LIMIT OF QUANTITATION; LONGITUDINAL STUDY; MALE; MEASUREMENT ACCURACY; NONLINEAR MIXED EFFECT; NONLINEAR SYSTEM; PARIETAL CORTEX; POSITRON EMISSION TOMOGRAPHY; PRECUNEUS; PRIORITY JOURNAL; PROCESS MODEL; VOLUME OF DISTRIBUTION RATIO; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DISEASE EXACERBATION; METABOLISM; MULTIVARIATE ANALYSIS; PATHOLOGY; PROCEDURES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; AMYLOID BETA-PEPTIDES; BIOMARKERS; CEREBRAL CORTEX; DISEASE PROGRESSION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MALE; MULTIVARIATE ANALYSIS; POSITRON-EMISSION TOMOGRAPHY;

EID: 84969832831     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.04.001     Document Type: Article

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