Evidence map›Paper›PMID 26257612›Full record

ArticleFrontiers in neuroanatomy2015

Histological validation of high-resolution DTI in human post mortem tissue.

Arne Seehaus, Alard Roebroeck, Matteo Bastiani, Lúcia Fonseca, Hansjürgen Bratzke, Nicolás Lori, Anna Vilanova, Rainer Goebel, Ralf Galuske

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04073940 (Exploration of Brain Changes Due to a Targeted Ballet Program in Multiple Sclerosis), which is not on this map. Cited by 93 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 4 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.

NCT04073940 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Exploration of Brain Changes Due to a Targeted Ballet Program in Multiple Sclerosis

TypeinterventionalSponsorUniversity of Illinois at Urbana-ChampaignRan2019 to 2021Enrolled30ConditionsMultiple Sclerosis, Relapsing-RemittingArmsTargeted Ballet Program
3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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33 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

9 authors.

Arne SeehausFaculty of Psychology and Neuroscience, Maastricht University Maastricht, Netherlands ; Systems Neurophysiology, Technische Universität Darmstadt Darmstadt, Germany.
Alard RoebroeckFaculty of Psychology and Neuroscience, Maastricht University Maastricht, Netherlands.
Matteo BastianiFaculty of Psychology and Neuroscience, Maastricht University Maastricht, Netherlands ; Jülich Research Centre, Institute of Neuroscience and Medicine (INM-4) Jülich, Germany.
Lúcia FonsecaDepartment of Biomedical Engineering, Eindhoven University of Technology Eindhoven, Netherlands.
Hansjürgen BratzkeInstitute of Forensic Medicine, Goethe-University Frankfurt, Germany.
Nicolás LoriVisual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra Coimbra, Portugal.
Anna VilanovaDepartment of Biomedical Engineering, Eindhoven University of Technology Eindhoven, Netherlands.
Rainer GoebelFaculty of Psychology and Neuroscience, Maastricht University Maastricht, Netherlands.
Ralf GaluskeSystems Neurophysiology, Technische Universität Darmstadt Darmstadt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) is amongst the simplest mathematical models available for diffusion magnetic resonance imaging, yet still by far the most used one. Despite the success of DTI as an imaging tool for white matter fibers, its anatomical underpinnings on a microstructural basis remain unclear. In this study, we used 65 myelin-stained sections of human premotor cortex to validate modeled fiber orientations and oft used microstructure-sensitive scalar measures of DTI on the level of individual voxels. We performed this validation on high spatial resolution diffusion MRI acquisitions investigating both white and gray matter. We found a very good agreement between DTI and myelin orientations with the majority of voxels showing angular differences less than 10°. The agreement was strongest in white matter, particularly in unidirectional fiber pathways. In gray matter, the agreement was good in the deeper layers highlighting radial fiber directions even at lower fractional anisotropy (FA) compared to white matter. This result has potentially important implications for tractography algorithms applied to high resolution diffusion MRI data if the aim is to move across the gray/white matter boundary. We found strong relationships between myelin microstructure and DTI-based microstructure-sensitive measures. High FA values were linked to high myelin density and a sharply tuned histological orientation profile. Conversely, high values of mean diffusivity (MD) were linked to bimodal or diffuse orientation distributions and low myelin density. At high spatial resolution, DTI-based measures can be highly sensitive to white and gray matter microstructure despite being relatively unspecific to concrete microarchitectural aspects.

Indexed as

diffusion microstructurediffusion tensor imagingfiber orientationsgray matterhistological validation

Identifiers

PMID26257612
PMCPMC4511840

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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.