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EEG Resting State Functional Connectivity in Adult Dyslexics Using Phase Lag Index and Graph Analysis.

Gorka Fraga González1,2, Dirk J A Smit3,4, Melle J W van der Molen5,6

  • 1Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.

Frontiers in Human Neuroscience
|September 15, 2018
PubMed
Summary
This summary is machine-generated.

Adults with developmental dyslexia show altered brain network connectivity, particularly in alpha brainwaves. This study used electroencephalography (EEG) to reveal differences in functional brain networks, offering insights into reading development.

Keywords:
dyslexiaelectroencephalography (EEG)functional connectivitygraph theoryminimum spanning treenetwork

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Developmental Psychology

Background:

  • Developmental dyslexia is associated with widespread brain network connectivity deficits impacting fluent reading.
  • Understanding resting-state functional connectivity in adults with dyslexia is crucial for identifying neural underpinnings.

Purpose of the Study:

  • To investigate large-scale electroencephalography (EEG) functional network organization at rest in adults with and without dyslexia.
  • To examine differences in functional connectivity strength and network topology between dyslexic and typical readers.

Main Methods:

  • Utilized electroencephalography (EEG) to record brain activity at rest in 28 dyslexic and 36 typically reading adults.
  • Assessed functional connectivity strength using the phase lag index (PLI) across delta, theta, alpha, and beta frequency bands.
  • Analyzed network topology using minimum spanning tree (MST) graphs derived from functional connectivity matrices.

Main Results:

  • Significant group differences were observed in the alpha frequency band (8-13 Hz).
  • Graph analysis revealed that dyslexic adults exhibited more interconnected brain network nodes compared to typical readers.
  • Graph metrics correlated significantly with age in dyslexics, suggesting potential heterogeneity in brain network maturation.

Conclusions:

  • Alpha oscillations play a role in higher cognitive functions, including reading.
  • Graph metrics are sensitive tools for characterizing functional brain networks in adult dyslexia.
  • Findings extend previous research on dyslexia in children to adult populations.