A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity
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Machine scores (provisional)
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- Teacher spread
- 0.340 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Alzheimer's disease (AD) researchers commonly use MRI as a quantitative measure of disease severity. Historically, hippocampal volume has been favored. Recently, "AD signature" measurements of gray matter (GM) volumes or cortical thicknesses have gained attention. Here, we systematically evaluate multiple thickness- and volume-based candidate-methods side-by-side, built using the popular FreeSurfer, SPM, and ANTs packages, according to the following criteria: (a) ability to separate clinically normal individuals from those with AD; (b) (extent of) correlation with head size, a nuisance covariatel (c) reliability on repeated scans; and (d) correlation with Braak neurofibrillary tangle stage in a group with autopsy. We show that volume- and thickness-based measures generally perform similarly for separating clinically normal from AD populations, and in correlation with Braak neurofibrillary tangle stage at autopsy. Volume-based measures are generally more reliable than thickness measures. As expected, volume measures are highly correlated with head size, while thickness measures are generally not. Because approaches to statistically correcting volumes for head size vary and may be inadequate to deal with this underlying confound, and because our goal is to determine a measure which can be used to examine age and sex effects in a cohort across a large age range, we thus recommend thickness-based measures. Ultimately, based on these criteria and additional practical considerations of run-time and failure rates, we recommend an AD signature measure formed from a composite of thickness measurements in the entorhinal, fusiform, parahippocampal, mid-temporal, inferior-temporal, and angular gyrus ROIs using ANTs with input segmentations from SPM12.
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The record
- Venue
- NeuroImage Clinical
- Topic
- Dementia and Cognitive Impairment Research
- Field
- Medicine
- Canadian institutions
- —
- Funders
- National Institute on AgingNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchUniversity of California, San DiegoGenentechNational Institutes of HealthTakeda Pharmaceutical CompanyIXICOH. Lundbeck A/SServierEisaiAbbVieGHR FoundationNorthern California Institute for Research and EducationPfizerBiogenBioClinicaUniversity of Southern CaliforniaNovartis Pharmaceuticals CorporationU.S. Department of DefenseEli Lilly and CompanyBristol-Myers SquibbEisai KoreaF. Hoffmann-La RocheMerckEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAlzheimer's Drug Discovery FoundationFujirebio EuropeAlzheimer's AssociationGE HealthcareAlzheimer's Disease Neuroimaging InitiativeMeso Scale Diagnostics
- Keywords
- Parahippocampal gyrusCorrelationClinical Dementia RatingNeurofibrillary tangleBrain sizeAlzheimer's diseaseDiseasePathologyPsychologyMedicineNeuroscienceMagnetic resonance imagingRadiologyMathematicsSenile plaquesTemporal lobe
- Has abstract in OpenAlex
- yes