Evidence map›Paper›PMID 32388548›Full record

ArticlePain medicine (Malden, Mass.)2020

Evidence of Neural Microstructure Abnormalities in Type I Chiari Malformation: Associations Among Fiber Tract Integrity, Pain, and Cognitive Dysfunction.

James R Houston, Michelle L Hughes, Ilana J Bennett, Philip A Allen, Jeffrey M Rogers, Mei-Ching Lien, Haylie Stoltz, Ken Sakaie, Francis Loth, Jahangir Maleki and 2 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  3. Chiari I malformation.Nature reviews. Disease primers · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

James R HoustonDepartment of Psychology, Middle Tennessee State University, Murfreesboro, Tennessee.
Michelle L HughesDepartment of Psychology, University of Akron, Akron, Ohio.
Ilana J BennettDepartment of Psychology, University of California, Riverside, California, USA.
Philip A AllenDepartment of Psychology, University of Akron, Akron, Ohio.
Jeffrey M RogersFaculty of Health Sciences, University of Sydney, Sydney, Australia.
Mei-Ching LienSchool of Psychological Science, Oregon State University, Corvallis, Oregon.
Haylie StoltzDepartment of Psychology, Middle Tennessee State University, Murfreesboro, Tennessee.
Ken SakaieDepartment of Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland, Ohio.
Francis LothDepartment of Mechanical Engineering, University of Akron, Akron, Ohio.
Jahangir MalekiCenter for Neuro-Restoration, Cleveland Clinic Foundation, Cleveland, Ohio.
Sarel J VorsterDepartment of Neurological Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Mark G LucianoDepartment of Neurosurgery, Johns Hopkins Medical Center, Baltimore, Maryland, USA.
Cleveland Clinic · USUniversity of Akron · USMiddle Tennessee State University · USJohns Hopkins University · USOregon State University · USThe University of Sydney · AUUniversity of California, Riverside · US

Funding

Novel MR Image Processing as an Objective Diagnostic Test for Chiari MalformationR15NS109957 · NINDS · UNIVERSITY OF AKRON · PI ALLEN, PHILIP A. · 2019 to 2019
$469k
NINDS NIH HHS R15 NS109957
6 · The paper itself

Abstract

backgroundPrevious case-control investigations of type I Chiari malformation (CMI) have reported cognitive deficits and microstructural white matter abnormalities, as measured by diffusion tensor imaging (DTI). CMI is also typically associated with pain, including occipital headache, but the relationship between pain symptoms and microstructure is not known.

methodsEighteen CMI patients and 18 adult age- and education-matched control participants underwent DTI, were tested using digit symbol coding and digit span tasks, and completed a self-report measure of chronic pain. Tissue microstructure indices were used to examine microstructural abnormalities in CMI as compared with healthy controls. Group differences in DTI parameters were then reassessed after controlling for self-reported pain. Finally, DTI parameters were correlated with performance on the digit symbol coding and digit span tasks within each group.

resultsCMI patients exhibited greater fractional anisotropy (FA), lower radial diffusivity, and lower mean diffusivity in multiple brain regions compared with controls in diffuse white matter regions. Group differences no longer existed after controlling for self-reported pain. A significant correlation between FA and the Repeatable Battery for the Assessment of Neuropsychological Status coding performance was observed for controls but not for the CMI group.

conclusionsDiffuse microstructural abnormalities appear to be a feature of CMI, manifesting predominantly as greater FA and less diffusivity on DTI sequences. These white matter changes are associated with the subjective pain experience of CMI patients and may reflect reactivity to neuroinflammatory responses. However, this hypothesis will require further deliberate testing in future studies.

Indexed as

Cognitive DysfunctionWhite MatterAdultBrainDiffusion Tensor ImagingFemaleHumansPainBrain MorphologyCerebellar DiseaseChiari MalformationChronic PainDiffusion Tensor Imaging

Identifiers

PMID32388548
PMCPMC9633327
OpenAlexW3023780806

What OpenQuestion holds

Textmetadata
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.