Evidence map›Paper›PMID 30285300›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2019

Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis.

Elizabeth Bartlett, Michael Shaw, Colleen Schwarz, Charles Feinberg, Christine DeLorenzo, Lauren B Krupp, Leigh E Charvet

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. The association between white matter tract structural connectivity and information processing speed in relapsing-remitting multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
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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

7 authors.

Elizabeth BartlettDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY.
Michael ShawDepartment of Neurology, New York University Langone Medical Center, NYU Langone Health, New York, NY.
Colleen SchwarzDepartment of Nursing, Stony Brook University, Stony Brook, NY.
Charles FeinbergDepartment of Neurology, New York University Langone Medical Center, NYU Langone Health, New York, NY.
Christine DeLorenzoDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY.
Lauren B KruppDepartment of Neurology, New York University Langone Medical Center, NYU Langone Health, New York, NY.
Leigh E CharvetDepartment of Neurology, New York University Langone Medical Center, NYU Langone Health, New York, NY.

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Environmental and genetic risk factors for pediatric MSR01NS071463 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WAUBANT, EMMANUELLE LAURENCE · 2010 to 2015
$2.8M
National Multiple Sclerosis Society 10020073405NCATS NIH HHS UL1 TR000002NINDS NIH HHS R01 NS071463The Lourie Foundation, Inc.
6 · The paper itself

Abstract

background and purposePediatric-onset multiple sclerosis (POMS) is a demyelinating disorder with unique clinical challenges. A brief computer-administered cognitive screening battery measuring processing speed (Cogstate) and the Brief International Cognitive Assessment in MS (BICAMS) detect cognitive impairment in POMS. The neuroanatomic correlates of these deficits are incompletely understood. The purpose of this study is to define the neuroanatomic underpinnings of deficits identified with cognitive screening batteries in POMS.

methodsParticipants with POMS and age-matched healthy controls (HCs) were screened with Cogstate and BICAMS. Diffusion tensor imaging assessed region-wise and tractography-based fractional anisotropy (FA).

resultsThe POMS (n = 15) and HC (n = 21) groups were matched on age (mean ages 17.9 ± 3.2 vs. 17.8 ± 3.3 years, respectively) and on an estimate of general intellectual functioning. The Cogstate composite revealed significant slowing in POMS relative to HCs (P = .004), but the BICAMS composite did not significantly distinguish the groups (P = .10). The Cogstate composite showed moderate-to-strong correlations with regional FA (r = -.67 to -.82) and significantly associated with uncinate fasciculus FA following multiple comparisons correction (P = .002) in POMS. However, the BICAMS composite measure showed only weak-to-moderate correlations with FA in POMS (r = -.19 to -.57), with none surviving multiple comparisons correction.

conclusionsComputer-administered measures of cognitive processing are particularly sensitive in POMS and are closely linked to white matter FA.

Indexed as

AdolescentAnisotropyBrainCognition DisordersDiffusion Tensor ImagingFemaleHumansMaleMultiple SclerosisNerve NetNeuropsychological TestsWhite MatterYoung AdultBICAMScognitiondiffusion tensor imaginginformation processing speedPediatric-onset multiple sclerosis

Identifiers

PMID30285300
PMCPMC11756925

What OpenQuestion holds

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Registered trials

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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.