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Cited by 517

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Functional abnormalities in the dyslexic brain: A quantitative meta‐analysis of neuroimaging studies

Open access
Richlan, Fabio, Kronbichler, Martin, Wimmer, Heinz·2009·Human Brain Mapping

Abstract

This study used foci from 17 original studies on functional abnormalities in the dyslexic brain to identify brain regions with consistent under‐ or overactivation. Studies were included when reading or reading‐related tasks were performed on visually presented stimuli and when results reported coordinates for group differences. Activation likelihood estimation (ALE) was used for quantification. Maxima of underactivation were found in inferior parietal, superior temporal, middle and inferior temporal, and fusiform regions of the left hemisphere. With respect to left frontal abnormalities, we found underactivation in the inferior frontal gyrus to be accompanied by overactivation in the primary motor cortex and the anterior insula. Tentative functional interpretations of the activation abnormalities are provided. Hum Brain Mapp, 2009. © 2009 Wiley‐Liss, Inc.

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Metadata

Authors
Richlan, F., Kronbichler, M., & Wimmer, H.
Venue
Human Brain Mapping
Publisher
Wiley
Published
2009-03-13
Volume
30
Issue
10
Pages
3299-3308
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2170314695
Cited by
517
References
59
FWCI
42.10
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Functional abnormalities in the dyslexic brain: A quantitative meta‐analysis of neuroimaging studies. https://app.cochat.ai/papers/10.1002/hbm.20752
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Richlan, F., Kronbichler, M., & Wimmer, H. (2009). Functional abnormalities in the dyslexic brain: A quantitative meta‐analysis of neuroimaging studies. Human Brain Mapping. https://doi.org/10.1002/hbm.20752

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.