Evidence map›Paper›PMID 24330534›Full record

ReviewCNS neuroscience & therapeutics2014

The role of diffusion tensor imaging in detecting microstructural changes in prodromal Alzheimer's disease.

Bing Zhang, Yun Xu, Bin Zhu, Kejal Kantarci

Abstract readReview
In one paragraph

Review in CNS neuroscience & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. PET, SPECT, and MRI imaging for evaluation of Parkinson's disease.American journal of nuclear medicine and molecular imaging · 2024
    Review
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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

4 authors.

Bing ZhangDepartment of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Yun Xu
Bin Zhu
Kejal Kantarci

Funding

Sex-specific Risk for Vascular Dysfunction and Cognitive DeclineP50AG044170 · NIA · MAYO CLINIC ROCHESTER · PI MILLER, VIRGINIA M · 2012 to 2017
$6.1M
NIA NIH HHS P50 AG044170
6 · The paper itself

Abstract

The MRI technique diffusion tensor imaging (DTI) is reviewed along with microstructural changes associated with prodromal Alzheimer's disease (AD) as a potential biomarker for clinical applications. The prodromal stage of AD is characterized by mild cognitive impairment (MCI), representing a transitional state between normal aging and AD. Microstructural abnormalities on DTI are promising in vivo biomarkers of gray and white matter changes associated with the progression of AD pathology. Elevated mean diffusivity and decreased fractional anisotropy are consistently found in prodromal AD, and even in cognitively normal elderly who progress to MCI. However, quality of parameter maps may be affected by artifacts of motion, susceptibility, and eddy current-induced distortions. The DTI maps are typically analyzed by region-of-interest or voxel-based analytic techniques such as tract-based spatial statistics. DTI-based index of diffusivity is complementary to macrostructural gray matter changes in the hippocampus in detecting prodromal AD. Breakdown of structural connectivity measured with DTI may impact cognitive performance during early AD. Furthermore, assessment of hippocampal connections may help in understanding the cerebral organization and remodeling associated with treatment response.

Indexed as

Alzheimer DiseaseArtifactsBrainCognitive DysfunctionDiffusion Tensor ImagingHippocampusHumansNeural PathwaysAlzheimer's diseaseDiffusion tensor imagingMicrostructural changesMild cognitive impairment

Identifiers

PMID24330534
PMCPMC5846708

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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.