Evidence map›Paper›PMID 28050342›Full record

ArticleNeuroImage. Clinical2016

A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity.

Christopher G Schwarz, Jeffrey L Gunter, Heather J Wiste, Scott A Przybelski, Stephen D Weigand, Chadwick P Ward, Matthew L Senjem, Prashanthi Vemuri, Melissa E Murray, Dennis W Dickson and 6 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers.

0numbers the graph read from it
0cells of the map it votes in
296citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

296 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Cortical thickness is related to working memory performance after non-invasive brain stimulation.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Trial
  5. Heart rate variability (HRV) changes and cortical volume changes in a randomized trial of five weeks of daily HRV biofeedback in younger and older adults.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022
    Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Age at menopause,Research square · 2026
    Article
  13. Article
  14. Composite grey matter fingerprints for genetic frontotemporal dementia.Journal of neurology, neurosurgery, and psychiatry · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

236 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Christopher G SchwarzDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA. Electronic address: schwarz.christopher@mayo.edu.
Jeffrey L GunterDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Information Technology, Mayo Clinic and Foundation, Rochester, MN, USA.
Heather J WisteDepartment of Health Sciences Research, Division of Biostatistics, Mayo Clinic and Foundation, Rochester, MN, USA.
Scott A PrzybelskiDepartment of Health Sciences Research, Division of Biostatistics, Mayo Clinic and Foundation, Rochester, MN, USA.
Stephen D WeigandDepartment of Health Sciences Research, Division of Biostatistics, Mayo Clinic and Foundation, Rochester, MN, USA.
Chadwick P WardDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Matthew L SenjemDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Information Technology, Mayo Clinic and Foundation, Rochester, MN, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Melissa E MurrayDepartment of Neuroscience (Neuropathology), Mayo Clinic and Foundation, Jacksonville, FL, USA.
Dennis W DicksonDepartment of Neuroscience (Neuropathology), Mayo Clinic and Foundation, Jacksonville, FL, USA.
Joseph E ParisiDepartment of Laboratory Medicine, Mayo Clinic and Foundation, Rochester, MN, USA.
Kejal KantarciDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Michael W WeinerVeterans Affairs, University of California, San Francisco, CA, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Mayo Clinic Interdisciplinary Women's Health Research ProgramK12HD065987 · NICHD · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2010 to 2023
$6.7M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Pathological basis of MRS and DTI changes in neurodegenerative dementiaR01AG040042 · NIA · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2011 to 2015
$1.6M
HOW DOES RESERVE MODIFY LINKS BETWEEN COGNITION & IMAGING INDICES OF AD PATHOLOGYR00AG037573 · NIA · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2013 to 2015
$740k
NIA NIH HHS P50 AG016574NIA NIH HHS R00 AG037573NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG040042NIA NIH HHS R01 AG041851NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG024904NICHD NIH HHS K12 HD065987
6 · The paper itself

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.

Indexed as

Brain MappingAdultAgedAged, 80 and overAlzheimer DiseaseCerebral CortexCognitive DysfunctionCohort StudiesDatasets as TopicFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedPsychiatric Status Rating Scales

Identifiers

PMID28050342
PMCPMC5187496

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.