The shared neurobiological basis of developmental dyslexia and developmental stuttering: a meta-analysis of functional and structural MRI studies

• Huan Ren ^[1] ; Yi Zhen Li ^[1] ; Hong-Yan Bi ^[1] ; Yang Yang ^[1]
  1. [1] Chinese Academy of Sciences

     Chinese Academy of Sciences

     China

     
• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 24, Nº. 4, 2024, págs. 141-150
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2024.100519
• Enlaces
  • Texto completo
• Resumen

  • Background Developmental dyslexia (DD) and persistent developmental stuttering (PDS) are the most representative written and spoken language disorders, respectively, and both significantly hinder life success. Although widespread brain alterations are evident in both DD and PDS, it remains unclear to what extent these two language disorders share common neural substrates.

    Methods A systematic review and meta-analysis of task-based functional magnetic resonance imaging (fMRI) and voxel-based morphometry (VBM) studies of PDS and DD were conducted to explore the shared functional and anatomical alterations across these disorders.

    Results The results of fMRI studies indicated shared hypoactivation in the left inferior temporal gyrus and inferior parietal gyrus across PDS and DD compared to healthy controls. When examined separately for children and adults, we found that child participants exhibited reduced activation in the left inferior temporal gyrus, inferior parietal gyrus, precentral gyrus, middle temporal gyrus, and inferior frontal gyrus, possibly reflecting the universal causes of written and spoken language disorders. In contrast, adult participants exhibited hyperactivation in the right precentral gyrus and left cingulate motor cortex, possibly reflecting common compensatory mechanisms. Anatomically, the analysis of VBM studies revealed decreased gray matter volume in the left inferior frontal gyrus across DD and PDS, which was exclusively observed in children. Finally, meta-analytic connectivity modeling and brain-behavior correlation analyses were conducted to explore functional connectivity patterns and related cognitive functions of the brain regions commonly involved in DD and PDS.

    Conclusions This study identified concordances in brain abnormalities across DD and PDS, suggesting common neural substrates for written and spoken language disorders and providing new insights into the transdiagnostic neural signatures of language disorders.

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