Evidence map›Paper›PMID 21699989›Full record

ArticleNeuroImage2011

White matter characterization with diffusional kurtosis imaging.

Els Fieremans, Jens H Jensen, Joseph A Helpern

Registry-linked trialAbstract read
In one paragraph

Article in NeuroImage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05368077 (Brain Changes in Pediatric Obstructive Sleep Apnea), which is not on this map. Cited by 320 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
320citing papers in PubMed, 2 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.

NCT05368077 nacompletednot on this mapstarted 2022, after this paper: background citation

Brain Changes in Pediatric Obstructive Sleep Apnea

TypeinterventionalSponsorUniversity of California, Los AngelesRan2022 to 2024Enrolled56ConditionsPediatric Obstructive Sleep ApneaArmsAdenotonsillectomy
3 · Its place in the literature

Who cites it

320 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  12. Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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260 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

3 authors.

Els FieremansDepartment of Radiology, New York University School of Medicine, New York, NY, USA. Els.Fieremans@nyumc.org
Jens H Jensen
Joseph A Helpern

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 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
Quantitative MRI of Microstructure and Iron Homeostasis in ADHD BrainR01EB007656 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HELPERN, JOSEPH A. · 2009 to 2010
$1.0M
NIA NIH HHS P30 AG008051NIA NIH HHS R01 AG027852NIBIB NIH HHS R01 EB007656
6 · The paper itself

Abstract

Diffusional kurtosis imaging (DKI) is a clinically feasible extension of diffusion tensor imaging that probes restricted water diffusion in biological tissues using magnetic resonance imaging. Here we provide a physically meaningful interpretation of DKI metrics in white matter regions consisting of more or less parallel aligned fiber bundles by modeling the tissue as two non-exchanging compartments, the intra-axonal space and extra-axonal space. For the b-values typically used in DKI, the diffusion in each compartment is assumed to be anisotropic Gaussian and characterized by a diffusion tensor. The principal parameters of interest for the model include the intra- and extra-axonal diffusion tensors, the axonal water fraction and the tortuosity of the extra-axonal space. A key feature is that these can be determined directly from the diffusion metrics conventionally obtained with DKI. For three healthy young adults, the model parameters are estimated from the DKI metrics and shown to be consistent with literature values. In addition, as a partial validation of this DKI-based approach, we demonstrate good agreement between the DKI-derived axonal water fraction and the slow diffusion water fraction obtained from standard biexponential fitting to high b-value diffusion data. Combining the proposed WM model with DKI provides a convenient method for the clinical assessment of white matter in health and disease and could potentially provide important information on neurodegenerative disorders.

Indexed as

AdultAlgorithmsAxonsBody WaterBrainData Interpretation, StatisticalDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleModels, NeurologicalNerve FibersNormal Distribution

Identifiers

PMID21699989
PMCPMC3136876

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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.