Evidence map›Paper›PMID 23602730›Full record

ArticleMagnetic resonance imaging2013

Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease.

Maria F Falangola, Jens H Jensen, Ali Tabesh, Caixia Hu, Rachael L Deardorff, James S Babb, Steven Ferris, Joseph A Helpern

Open access · greenAbstract readComparative Study
In one paragraph

Article in Magnetic resonance imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 2% of its field
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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  8. Fixel-Based Analysis Reveals Tau-Related White Matter Changes in Early Stages of Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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6 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

8 authors at 3 institutions in 1 country.

Maria F FalangolaDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC 29425, USA. falangol@musc.edu
Jens H Jensen
Ali Tabesh
Caixia Hu
Rachael L Deardorff
James S Babb
Steven Ferris
Joseph A Helpern
Medical University of South Carolina · USNew York University · USNathan Kline Institute for Psychiatric Research · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MITTELMAN, MARY SHERMAN · 1990 to 2019
$36.1M
Quantitative MRI of Iron Homeostasis, Atrophy and Tissue Structure in AD BrainR01AG027852 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HELPERN, JOSEPH A. · 2007 to 2011
$2.5M
NIA NIH HHS 1R01AG027852NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG08051NIA NIH HHS R01 AG027852
6 · The paper itself

Abstract

We report the first application of a novel diffusion-based MRI method, called diffusional kurtosis imaging (DKI), to investigate changes in brain tissue microstructure in patients with mild cognitive impairment (MCI) and AD and in cognitively intact controls. The subject groups were characterized and compared in terms of DKI-derived metrics for selected brain regions using analysis of covariance with a Tukey multiple comparison correction. Receiver operating characteristic (ROC) and binary logistic regression analyses were used to assess the utility of regional diffusion measures, alone and in combination, to discriminate each pair of subject groups. ROC analyses identified mean and radial kurtoses in the anterior corona radiata as the best individual discriminators of MCI from controls, with the measures having an area under the ROC curve (AUC) of 0.80 and 0.82, respectively. The next best discriminators of MCI from controls were diffusivity and kurtosis (both mean and radial) in the prefrontal white matter (WM), with each measure having an AUC between 0.77 and 0.79. Finally, the axial diffusivity in the hippocampus was the best overall discriminator of MCI from AD, having an AUC of 0.90. These preliminary results suggest that non-Gaussian diffusion MRI may be beneficial in the assessment of microstructural tissue damage at the early stage of MCI and may be useful in developing biomarkers for the clinical staging of AD.

Indexed as

AgedAlgorithmsAlzheimer DiseaseBrainCognitive DysfunctionData Interpretation, StatisticalFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMaleNormal DistributionPattern Recognition, AutomatedReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID23602730
PMCPMC5347444
OpenAlexW2001791735

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.