Evidence map›Paper›PMID 24367935›Full record

ReviewBiological psychiatry2014

A focus on structural brain imaging in the Alzheimer's disease neuroimaging initiative.

Meredith N Braskie, Paul M Thompson

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  6. Using Artificial Intelligence to Learn Optimal Regimen Plan for Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2023
    Article
  7. Pulmonary function is associated with cognitive decline and structural brain differences.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
  8. Article
  9. Article
  10. Joint cortical surface and structural connectivity analysis of Alzheimer's Disease.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  11. Article
  12. Article
  13. Test-retest reproducibility of [EJNMMI research · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

2 authors.

Meredith N BraskieImaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California; Department of Neurology, University of Southern California, Los Angeles, California.
Paul M ThompsonImaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California; Department of Neurology, University of Southern California, Los Angeles, California; Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California; Department of Radiology, University of Southern California, Los Angeles, California; Department of Pediatrics, University of Southern California, Los Angeles, California; Department of Ophthalmology, University of Southern California, Los Angeles, California; Keck School of Medicine, and Viterbi School of Engineering, University of Southern California, Los Angeles, California. Electronic address: pthomp@usc.edu.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Empowering Personalized Medicine: Integrating Imaging, Genetics, and BiomarkersR01MH097268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COPPOLA, GIOVANNI, THOMPSON, PAUL M · 2012 to 2014
$1.3M
NIA NIH HHS R01 AG040060NIA NIH HHS U01 AG024904NIBIB NIH HHS P41 EB015922NIMH NIH HHS R01 MH097268NIMH NIH HHS R01MH097268
6 · The paper itself

Abstract

In recent years, numerous laboratories and consortia have used neuroimaging to evaluate the risk for and progression of Alzheimer's disease (AD). The Alzheimer's Disease Neuroimaging Initiative is a longitudinal, multicenter study that is evaluating a range of biomarkers for use in diagnosis of AD, prediction of patient outcomes, and clinical trials. These biomarkers include brain metrics derived from magnetic resonance imaging (MRI) and positron emission tomography scans as well as metrics derived from blood and cerebrospinal fluid. We focus on Alzheimer's Disease Neuroimaging Initiative studies published between 2011 and March 2013 for which structural MRI was a major outcome measure. Our main goal was to review key articles offering insights into progression of AD and the relationships of structural MRI measures to cognition and to other biomarkers in AD. In Supplement 1, we also discuss genetic and environmental risk factors for AD and exciting new analysis tools for the efficient evaluation of large-scale structural MRI data sets such as the Alzheimer's Disease Neuroimaging Initiative data.

Indexed as

NeuroimagingAlzheimer DiseaseBiomarkersBrainCognitionDisease ProgressionHumansMagnetic Resonance ImagingPositron-Emission TomographyBiomarkersAlzheimer’s diseaseatrophybiomarkersbrain volumecognitioncognitive declineconversiondementiahippocampusmagnetic resonance imagingmild cognitive impairmentMRIpredictprogressiontemporal lobe

Identifiers

PMID24367935
PMCPMC4019004

What OpenQuestion holds

Textmetadata
LicenceTDM
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.