Evidence map›Paper›PMID 27550556›Full record

ArticleAnnals of dyslexia2016

Examining the relationship between home literacy environment and neural correlates of phonological processing in beginning readers with and without a familial risk for dyslexia: an fMRI study.

Sara J Powers, Yingying Wang, Sara D Beach, Georgios D Sideridis, Nadine Gaab

Abstract read
In one paragraph

Article in Annals of dyslexia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
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  6. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Socioeconomic status and reading outcomes: Neurobiological and behavioral correlates.New directions for child and adolescent development · 2022
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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

5 authors.

Sara J PowersDivision of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA.
Yingying WangDivision of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA.
Sara D BeachSpeech and Hearing Bioscience and Technology Program, Division of Medical Sciences, Harvard University, Boston, MA, USA.
Georgios D SideridisDivision of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA.
Nadine GaabDivision of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA. nadine.gaab@childrens.harvard.edu.

Funding

Longitudinal Study of childhood fMRI markers prior to reading onsetR01HD065762 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GAAB, NADINE, GRANT, PATRICIA ELLEN · 2011 to 2021
$6.3M
Using Cognitive Neuroscience to Predict Dyslexia among Kindergarden ChildrenR01HD067312 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GAAB, NADINE, GABRIELI, JOHN · 2011 to 2015
$3.1M
NICHD NIH HHS R01 HD065762NICHD NIH HHS R01 HD067312
6 · The paper itself

Abstract

Developmental dyslexia is a language-based learning disability characterized by persistent difficulty in learning to read. While an understanding of genetic contributions is emerging, the ways the environment affects brain functioning in children with developmental dyslexia are poorly understood. A relationship between the home literacy environment (HLE) and neural correlates of reading has been identified in typically developing children, yet it remains unclear whether similar effects are observable in children with a genetic predisposition for dyslexia. Understanding environmental contributions is important given that we do not understand why some genetically at-risk children do not develop dyslexia. Here, we investigate for the first time the relationship between HLE and the neural correlates of phonological processing in beginning readers with (FHD+, n = 29) and without (FHD-, n = 21) a family history of developmental dyslexia. We further controlled for socioeconomic status to isolate the neurobiological mechanism by which HLE affects reading development. Group differences revealed stronger correlation of HLE with brain activation in the left inferior/middle frontal and right fusiform gyri in FHD- compared to FHD+ children, suggesting greater impact of HLE on manipulation of phonological codes and recruitment of orthographic representations in typically developing children. In contrast, activation in the right precentral gyrus showed a significantly stronger correlation with HLE in FHD+ compared to FHD- children, suggesting emerging compensatory networks in genetically at-risk children. Overall, our results suggest that genetic predisposition for dyslexia alters contributions of HLE to early reading skills before formal reading instruction, which has important implications for educational practice and intervention models.

Indexed as

LiteracyReadingBrain MappingChildChild, PreschoolComprehensionDyslexiaFemaleFrontal LobeHumansMagnetic Resonance ImagingMalePhoneticsRiskSocioeconomic FactorsDyslexiafMRIHome literacy environmentPhonological processing

Identifiers

PMID27550556
PMCPMC5061614

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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.