Auditory Processing in Noise: A Preschool Biomarker for Literacy

Area of Science:

• Neuroscience
• Developmental Psychology
• Speech and Language Sciences

Background:

• Literacy acquisition is crucial for lifelong success, yet some children struggle, necessitating early identification methods.
• Existing neural markers for reading skills are known in older children and adults, but their presence in pre-reading children is unclear.
• Identifying early biomarkers for reading ability can facilitate timely interventions for children at risk of literacy challenges.

Purpose of the Study:

• To investigate brain-behavior relationships between neural speech processing in noise and phonological skills in children.
• To develop a predictive model of preliteracy using neurophysiological assessments.
• To determine if neural markers identified in pre-reading children predict later emergent literacy and learning disability diagnosis.

Main Methods:

• Experiments were conducted with 112 children aged 3-14 years.
• A neurophysiological assessment measuring neural coding of speech in noise was administered.
• A predictive model was created to link neural data to pre-reading and emergent literacy outcomes.

Main Results:

• The integrity of neural coding of speech in noise was found to be related to phonology.
• A 30-minute neurophysiological assessment successfully predicted performance on pre-reading tests.
• The model also predicted emergent literacy skills one year later and identified learning disabilities in school-aged children.

Conclusions:

• Neural processing of consonants in noise is fundamental for language and reading development.
• Early neurophysiological assessment can identify children at risk for language learning problems.
• These findings support early identification and intervention to prevent lifelong reading struggles.