Relative to abstract words, concrete words typically elicit faster response times and larger N400 and N700 event-related potential (ERP) brain responses. These effects have been interpreted as reflecting the denser links to associated semantic information of concrete words and their recruitment of visual imagery processes. Here, we examined whether there are ERP differences between concrete and abstract stimuli controlled for a large number of factors including context availability (i.e., richness of semantic associations) and imageability. We found that abstract words elicited faster behavioral responses but that concrete words still elicited larger N400 and N700 responses. We propose that once all other factors, including imageability and context availability are controlled, abstract words may trigger a larger number of superficial linguistic associations that can be quickly used for response decisions. The ERP differences, however, would index the greater semantic processing (integration of multimodal information) for concrete than abstract words during meaning activation.
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http://dx.doi.org/10.1016/j.bandl.2013.01.005 | DOI Listing |
PeerJ
January 2025
School of Psychology, Liaoning Normal University, Dalian, Liaoning Province, China.
Objective: This study aimed to examine the impact of social presence on Chinese reading comprehension and associated neural responses.
Methods: Participants tasked with reading Chinese sentences either alone or in the presence of others and subsequently assessing the accuracy of the sentences' meanings. Concurrently, we recorded the participants' electrical brain responses to critical word processing.
J Exp Psychol Learn Mem Cogn
December 2024
Basque Center on Cognition, Brain and Language.
The present study uses event-related potentials (ERPs) to investigate lexicosemantic prediction in native speakers (L1) of English and advanced second language (L2) learners of English with Swedish as their L1. The main goal of the study was to examine whether learners recruit predictive mechanisms to the same extent as L1 speakers when a change in the linguistic environment renders prediction a useful strategy to pursue. The study, which uses a relatedness proportion paradigm adapted from Lau et al.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Psychology Department, Middle Tennessee State University, Murfreesboro, TN 37132, USA.
Consumer-grade EEG devices, such as the InteraXon Muse 2 headband, present a promising opportunity to enhance the accessibility and inclusivity of neuroscience research. However, their effectiveness in capturing language-related ERP components, such as the N400, remains underexplored. This study thus aimed to investigate the feasibility of using the Muse 2 to measure the N400 effect in a semantic relatedness judgment task.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, College of Charleston, Charleston, SC, USA.
The rapid propagation of information in the digital epoch has brought a surge of rumors, creating a significant societal challenge. While prior research has primarily focused on the psychological aspects of rumors-such as the beliefs, behaviors, and persistence they evoke-there has been limited exploration of how rumors are processed in the brain. In this study, we experimented to examine both behavioral responses and EEG data during rumor detection.
View Article and Find Full Text PDFNeuroimage
December 2024
Department of Psychiatry and the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA; Department of Psychology, Tufts University, Medford, MA, 02155, USA. Electronic address:
During language comprehension, the larger neural response to unexpected versus expected inputs is often taken as evidence for predictive coding-a specific computational architecture and optimization algorithm proposed to approximate probabilistic inference in the brain. However, other predictive processing frameworks can also account for this effect, leaving the unique claims of predictive coding untested. In this study, we used MEG to examine both univariate and multivariate neural activity in response to expected and unexpected inputs during word-by-word reading comprehension.
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