Infants at high and low likelihood for autism show different EEG developmental trajectories in speech tracking and statistical learning

Michel Godel, Ana Fló, Lucas Benjamin, Ghislaine Dehaene-Lambertz, Marie Schaer, Jean-Paul Noel, Huan Luo · 2026

Read Infants at high and low likelihood for autism show different EEG developmental trajectories in speech tracking and statistical learning by Michel Godel, Ana Fló, Lucas Benjamin, Ghislaine Dehaene-Lambertz, Marie Schaer, Jean-Paul Noel, Huan Luo (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13592813.txt.

Description

Michel Godel and six colleagues follow how infants at high and low likelihood of autism process speech sounds. Late babbling and first words often precede an autism diagnosis, hinting that early speech machinery differs. Their team recorded 83 brain wave sessions from 44 infants between two and twenty two months old. Babies heard streams of three syllable words from many voices, and brain tracking of syllables and words was measured alongside a word recognition test.

High likelihood infants tracked syllables more weakly, and that weakness tracked with weaker verbal scores at twenty months. Their pattern finding itself stayed intact, though their brain response to new words ran smaller. Voice variety briefly disrupted word splitting near twelve months only in low likelihood babies. Godel and the team favor long, passive brain measures for catching such early forks.

Catalog record

CREATORMichel Godel, Ana Fló, Lucas Benjamin, Ghislaine Dehaene-Lambertz, Marie Schaer, Jean-Paul Noel, Huan Luo
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE67 KB
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13592813

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