Neurophysiological differentiation of Boder's dyslexia subtypes using harmonised quantitative EEG cross-spectra.

Giuseppe A Chiarenza¹, Valeria Peluso², Min Li³, Ying Wang³, Tania Perez-Ramirez⁴, Leslie S Prichep⁵, Pedro Valdes-Sosa⁶, Rolando J Biscay⁷, Jorge Bosch-Bayard⁸

¹Centro Internazionale Disturbi di Apprendimento, Attenzione, Iperattività, CIDAAI, Milano, Italy. Electronic address: gachiarenza@gmail.com.

²Centro Internazionale Disturbi di Apprendimento, Attenzione, Iperattività, CIDAAI, Milano, Italy.

³The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

⁴Cuban Neuroscience Center, La Habana, Cuba.

⁵Research & Development Department, BrainScope Company, Inc., Chevy Chase, MD, United States.

⁶The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Cuban Neuroscience Center, La Habana, Cuba.

⁷Centro de Investigación en Matemáticas, Guanajuato, Mexico.

⁸Faculty of Psychology, Carl von Ossietzky Universität Oldenburg, Germany. Electronic address: oldgandalf@gmail.com.

PubMed DOI

Abstract

Developmental dyslexia is a heterogeneous disorder classically divided into distinct subtypes. Elena Boder's, 1973 model conceptualised reading and spelling as functions of distributed, interactive neural networks that require a dynamic interplay between visual-gestalt and analytic-auditory processes. Disruption of this interplay produces three main dyslexic subtypes-dysphonetic (DD), dyseidetic (…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.