Neural coding of consonants in noise strongly predicts phonological processing in 4-year-old pre-readers over and above demographic factors¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? In 4-y-old children who had not yet learned to read, a regression model of neural coding of consonants in noise predicted phonological processing above demographics (ΔR2 = 0.488, p = 0.003). → White-Schwoch T 2015

Evidence¶

White-Schwoch T 2015¶

White-Schwoch T, Woodruff Carr K, Thompson EC, Anderson S, Nicol T, Bradlow AR, et al. (2015) Auditory Processing in Noise: A Preschool Biomarker for Literacy. PLoS Biol 13(7): e1002196. https://doi.org/10.1371/journal.pbio.1002196

q3 · i? · associational · r2

Hierarchical regression in a cohort of 37 4-y-olds (mean age 54.41 months) who had not yet learned to read; the model combined neural timing, trial-by-trial stability, and spectral-feature measures from a single FFR recording. The neural step added "ΔR2 = 0.488" over demographics, with total R2 = 0.684; no standardized effect size is printed, so impact is null.

"We found that neural coding of consonants in noise strongly predicted phonological processing in pre-readers over and above demographic factors (CELF P-2 Phonological Awareness; ΔR2 = 0.488, F[9,24] = 4.121, p = 0.003; total R2 = 0.684, F[12,36] = 4.328, p = 0.001"

Discussion¶

Related Claims¶

• The consonants-in-noise model predicts concurrent reading in school-aged children and reliably classifies externally diagnosed learning disability, being most effective at clearing children as unlikely to have an LD — related
• A consonants-in-noise model derived in 4-year-olds generalizes to predict rapid naming and sentence memory in preschoolers, though not sentence memory in 3-year-olds — related
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