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Dataset Information

Semantic Categorization of Naming Responses Based on Prearticulatory Electrical Brain Activity.


ABSTRACT:

Purpose

Object naming requires visual decoding, conceptualization, semantic categorization, and phonological encoding, all within 400 to 600 ms of stimulus presentation and before a word is spoken. In this study, we sought to predict semantic categories of naming responses based on prearticulatory brain activity recorded with scalp EEG in healthy individuals.

Methods

We assessed 19 healthy individuals who completed a naming task while undergoing EEG. The naming task consisted of 120 drawings of animate/inanimate objects or abstract drawings. We applied a one-dimensional, two-layer, neural network to predict the semantic categories of naming responses based on prearticulatory brain activity.

Results

Classifications of animate, inanimate, and abstract responses had an a

SUBMITTER: Wilmskoetter J 

PROVIDER: S-EPMC10628367 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature