Possible roles for fronto-striatal circuits in reading disorder.

TLDR: The authors found anatomical convergence between hyperactivation regions and regions supporting articulation, consistent with the proposed compensatory role of these regions, and low convergence with phonological and implicit sequence learning regions.

About: This article is published in Neuroscience & Biobehavioral Reviews.The article was published on 2017-01-01 and is currently open access. It has received 63 citations till now. The article focuses on the topics: Sequence learning & Implicit learning.

Figures

Table 1 Sources and key characteristics of studies included in the reading meta-analysis.

Fig. 5. (a) Comparison between cortical and cerebellar regions involved in articulatory processing (blue), identified using reverse inference with the Neurosynth database and cortical regions of increased activation in RD relative to typical readers (red) based on a manual meta-analysis of RD studies, with overlap in green. (b) Detail of overlap between subcortical and IFG/insula regions involved in articulatory processing (blue), identified using reverse inference with the Neurosynth database and cortical regions of increased activation in RD relative to typical readers (red) based on a manual meta-analysis of RD studies, with overlap in green. The results of the RD meta-analysis are presented at a voxel threshold of p<0.05 to p<0.001 to illustrate the stability of the overlap. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Table 2 Sources and key characteristics of studies included in the implicit learning meta-analysis. Studies in bold were also included in the Neurosynth ‘sequence learning’ analysis.

Fig. 4. (a) Comparison between regions involved in articulatory processing (blue), identified using reverse inference with the Neurosynth database and cortical regions of decreased activation in RD relative to typical readers (red) based on amanual meta-analysis of RD studies, with overlap in green. (b) Comparison between regions involved in phonological processing (blue), identified using reverse inference with the Neurosynth database and cortical regions of decreased activation in RD relative to typical readers ( ults o

Fig. 7. Detail of overlap between subcortical and IFG/insula regions involved in sequence learning (blue), identified using reverse inference with the Neurosynth database and cortical regions of increased activation in RD relative to typical readers (red) based on a manualmeta-analysis of RD studies, with overlap in green. The results of the RD meta-analysis are presented at a voxel threshold of p<0.05 to p<0.001 to illustrate the stability of the overlap. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Fig. 6. Comparison between cortical and cerebellar regions involved in phonological processing (blue), identified using reverse inference with the Neurosynth database and cortical regions of increased activation in RD relative to typical readers (red) based on amanualmeta-analysis of RD studies, with overlap in green. The results of the RDmeta analysis are presented at a voxel threshold of p<0.05 to p<0.001 to illustrate the stability of the overlap. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Frequently asked questions

Q1. What are the contributions mentioned in the paper "Ossible roles for fronto-striatal circuits in reading disorder" ?

The authors review current evidence for the compensation hypothesis in RD and apply large-scale reverse inference to investigate anatomical overlap between hyperactivation regions and neural systems for articulation, phonological processing, implicit sequence learning.