Evidence map›Paper›PMID 38929300›Full record

ArticleChildren (Basel, Switzerland)2024

Sex Differences in White Matter Diffusivity in Children with Developmental Dyslexia.

Gehna Gupta, C Nikki Arrington, Robin Morris

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gehna GuptaDepartment of Neuroscience, Georgia State University, Atlanta, GA 30303, USA.
C Nikki ArringtonDepartment of Neuroscience, Georgia State University, Atlanta, GA 30303, USA.
Robin MorrisGeorgia State/Georgia Tech Center for Advanced Brain Imaging, Atlanta, GA 30318, USA.

Funding

Predictors of Non- Response in Young Dyslexic Children with Co-Morbid ADHDP01HD070837 · NICHD · GEORGIA STATE UNIVERSITY · PI ZEVIN, JASON D · 2013 to 2018
$4.6M
Neural Mechanisms Underlying Compensation in DyslexiaR01HD096261 · NICHD · UNIVERSITY OF CONNECTICUT STORRS · PI HOEFT, FUMIKO · 2018 to 2023
$3.4M
NICHD NIH HHS P01 HD070837NICHD NIH HHS R01 HD096261
6 · The paper itself

Abstract

Despite the high prevalence of developmental dyslexia in the U.S. population, research remains limited and possibly biased due to the overrepresentation of males in most dyslexic samples. Studying biological sex differences in the context of developmental dyslexia can help provide a more complete understanding of the neurological markers that underly this disorder. The current study aimed to explore sex differences in white matter diffusivity in typical and dyslexic samples in third and fourth graders. Participants were asked to complete behavioral/cognitive assessments at baseline followed by MRI scanning and diffusion-weighted imaging sequences. A series of ANOVAs were conducted for comparing group membership (developmental dyslexia or typically developing), gender status (F/M), and white matter diffusivity in the tracts of interest. The Results indicated significant differences in fractional anisotropy in the left hemisphere components of the inferior and superior (parietal and temporal) longitudinal fasciculi. While males with dyslexia had lower fractional anisotropy in these tracts compared to control males, no such differences were found in females. The results of the current study may suggest that females may use a more bilateral/alternative reading network.

Indexed as

developmental dyslexiaDTIlearning disabilityneurobiologypediatricsreadingreading disabilityreading networksex differenceswhite matter

Identifiers

PMID38929300
PMCPMC11201584

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.