Evidence map›Paper›PMID 25463453›Full record

ArticleNeuroImage2015

Kurtosis analysis of neural diffusion organization.

Edward S Hui, G Russell Glenn, Joseph A Helpern, Jens H Jensen

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 35 citations in OpenAlex.

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  19. Fiber ball imaging.NeuroImage · 2016
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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 at 2 institutions in 2 countries.

Edward S HuiDepartment of Diagnostic Radiology, The University of Hong Kong, Pokfulam, Hong Kong. Electronic address: edward.s.hui@gmail.com.
G Russell GlennCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA. Electronic address: glenng@musc.edu.
Joseph A HelpernCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. Electronic address: helpern@musc.edu.
Jens H JensenCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. Electronic address: jense@musc.edu.
Medical University of South Carolina · USUniversity of Hong Kong · HK

Funding

TRAINING PROGRAM FOR MEDICAL SCIENTISTST32GM008716 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DEMORE, NANCY · 1999 to 2024
$9.3M
Prediction of Motor Outcome after Acute Stroke using Diffusional Kurtosis ImagingR21NS085475 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ADKINS, DEANNA L, JENSEN, JENS H · 2014 to 2015
$411k
NIGMS NIH HHS T32 GM008716NIGMS NIH HHS T32GM008716NINDS NIH HHS R21 NS085475NINDS NIH HHS R21NS085475
6 · The paper itself

Abstract

A computational framework is presented for relating the kurtosis tensor for water diffusion in brain to tissue models of brain microstructure. The tissue models are assumed to be comprised of non-exchanging compartments that may be associated with various microstructural spaces separated by cell membranes. Within each compartment the water diffusion is regarded as Gaussian, although the diffusion for the full system would typically be non-Gaussian. The model parameters are determined so as to minimize the Frobenius norm of the difference between the measured kurtosis tensor and the model kurtosis tensor. This framework, referred to as kurtosis analysis of neural diffusion organization (KANDO), may be used to help provide a biophysical interpretation to the information provided by the kurtosis tensor. In addition, KANDO combined with diffusional kurtosis imaging can furnish a practical approach for developing candidate biomarkers for neuropathologies that involve alterations in tissue microstructure. KANDO is illustrated for simple tissue models of white and gray matter using data obtained from healthy human subjects.

Indexed as

AdultAxonsBrainComputer SimulationData Interpretation, StatisticalDiffusionDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansMaleMiddle AgedModels, NeurologicalModels, StatisticalStatistical DistributionsWaterWhite MatterWaterDiffusionKurtosisMicrostructureMRITissue model

Identifiers

PMID25463453
PMCPMC4389769
OpenAlexW1983567990

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.