Evidence map›Paper›PMID 27458603›Full record

ArticleCurrent opinion in behavioral sciences2016

Integrating MRI brain imaging studies of pre-reading children with current theories of developmental dyslexia: A review and quantitative meta-analysis.

Maaike Vandermosten, Fumiko Hoeft, Elizabeth S Norton

Abstract read
In one paragraph

Article in Current opinion in behavioral sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 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.

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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Impact of Prematurity and Neonatal Complications on the Development of Dyslexia.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Dyslexia, the Amsterdam Way.Behavioral sciences (Basel, Switzerland) · 2024
    Review
  18. Article
  19. Article
  20. Article
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.

Maaike VandermostenUniversity of California San Francisco, Department of Psychiatry and Weill Institute for Neurosciences, 401 Parnassus Ave., San Francisco CA 94143, USA; KU Leuven, Department of Psychology and Educational Science, L. Vanderkelenstraat 32, Leuven, Belgium.
Fumiko HoeftUniversity of California San Francisco, Department of Psychiatry and Weill Institute for Neurosciences, 401 Parnassus Ave., San Francisco CA 94143, USA; Haskins Laboratories, 300 George St. #900, New Haven CT 06511, USA; Keio University School of Medicine, Department of Neuropsychiatry, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Elizabeth S NortonNorthwestern University, Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, 2240 Campus Dr., Evanston IL 60208, USA.

Funding

Visual word identification: phonology &morphologyP01HD001994 · NICHD · HASKINS LABORATORIES, INC. · PI ZEVIN, JASON D · 1985 to 2016
$23.5M
Cognitive and Neural Processes in Reading ComprehensionR01HD044073 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2004 to 2019
$8.1M
Neurobiological predictors of spoken and written language learningR01HD065794 · NICHD · HASKINS LABORATORIES, INC. · PI PUGH, KENNETH R. · 2011 to 2015
$3.5M
Neural Phenotypes of Females with Autism Spectrum DisorderR01MH104438 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NORDAHL, CHRISTINE WU · 2014 to 2018
$3.5M
Neurophenotypic Trajectories and Behavioral Outcomes in Autism Spectrum DisorderR01MH103371 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AMARAL, DAVID G · 2015 to 2019
$3.4M
Understanding literacy acquisition through immersion in foreign languagesR01HD078351 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENDREN, ROBERT LEE, HOEFT, FUMIKO · 2015 to 2020
$3.0M
Predicting Reading Success Using a Multimodal Neuroimaging ApproachK23HD054720 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOEFT, FUMIKO · 2008 to 2012
$620k
NICHD NIH HHS K23 HD054720NICHD NIH HHS P01 HD001994NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD065794NICHD NIH HHS R01 HD078351NIMH NIH HHS R01 MH103371NIMH NIH HHS R01 MH104438
6 · The paper itself

Abstract

The neurobiological substrates that cause people with dyslexia to experience difficulty in acquiring accurate and fluent reading skills are still largely unknown. Although structural and functional brain anomalies associated with dyslexia have been reported in adults and school-age children, these anomalies may represent differences in reading experience rather than the etiology of dyslexia. Conducting MRI studies of pre-readers at risk for dyslexia is one approach that enables us to identify brain alterations that exist before differences in reading experience emerge. The current review summarizes MRI studies that examine brain differences associated with risk for dyslexia in children before reading instruction and meta-analyzes these studies. In order to link these findings with current etiological theories of dyslexia, we focus on studies that take a modular perspective rather than a network approach. Although some of the observed differences in pre-readers at risk for dyslexia may still be shaped by language experiences during the first years of life, such studies underscore the existence of reading-related brain anomalies prior to reading onset and could eventually lead to earlier and more precise diagnosis and treatment of dyslexia.

Identifiers

PMID27458603
PMCPMC4957935

What OpenQuestion holds

Textmetadata
LicenceTDM
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.