Dynamic modeling of EEG responses to natural speech reveals earlier processing of predictable words.

ABSTRACT: In recent years, it has become clear that EEG indexes the comprehension of natural, narrative speech. One particularly compelling demonstration of this fact can be seen by regressing EEG responses to speech against measures of how individual words in that speech linguistically relate to their preceding context. This approach produces a so-called temporal response function that displays a centro-parietal negativity reminiscent of the classic N400 component of the event-related potential. One shortcoming of previous implementations of this approach is that they have typically assumed a linear, time-invariant relationship between the linguistic speech features and the EEG responses. In other words, the analysis typically assumes that the response has the same shape and timing for every word -

SUBMITTER: Dou J 

PROVIDER: S-EPMC12061398 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature