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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Poor reading is characterized by a more connected network with wrong hubs.

Jiaqi Mao1, Lanfang Liu1, Kyle Perkins2

  • 1Department of Psychology, Sun Yat-Sen University, China.

Brain and Language
|June 26, 2021
PubMed
Summary

Children with poor reading skills exhibit altered brain network organization. Poor readers (PR) show reduced left inferior frontal gyrus (IFG) specialization and increased right-hemisphere engagement during language tasks.

Keywords:
ChineseGraph theoryLanguage developmentOrthographic deficitReading difficulty

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Computational Linguistics

Background:

  • Reading difficulties impact language network development.
  • Understanding topological organization is key to identifying reading deficits.

Purpose of the Study:

  • To investigate the topological organization of the language network in Chinese children with poor reading.
  • To compare network differences during auditory and visual language tasks.

Main Methods:

  • Graph theory analysis applied to neuroimaging data.
  • Examination of clustering coefficient and nodal efficiency.
  • Comparison of poor readers (PR) with reading-matched and age-matched controls.

Main Results:

  • Poor readers (PR) demonstrated reduced clustering coefficient in the left inferior frontal gyrus (IFG) during visual tasks.
  • Higher nodal efficiency in bilateral superior temporal gyri (STG) was observed in PR.
  • PR utilized additional right-hemispheric hubs, increasing global efficiency and reducing path length in visual tasks.

Conclusions:

  • Deficits in left IFG function during visual word processing are evident in poor readers.
  • Right-hemisphere compensation mechanisms are employed by children with poor reading.
  • Graph theory provides insights into the neural underpinnings of reading difficulties.