The frontal aslant tract (FAT) is a white-matter tract connecting the inferior frontal gyrus (IFG) and the supplementary motor complex (SMC). Damage to either component of the network causes spontaneous speech dysfluency, indicating its critical role in language production. However, spontaneous speech dysfluency may stem from various lower-level linguistic deficits, precluding inferences about the nature of linguistic processing subserved by the IFG-SMC network. Since the IFG and the SMC are attributed a role in conceptual and lexical selection during language production, we hypothesized that these processes rely on the IFG-SMC connectivity via the FAT. We analysed the effects of FAT volume on conceptual and lexical selection measures following frontal lobe stroke. The measures were obtained from the sentence completion task, tapping into conceptual and lexical selection, and the picture-word interference task, providing a more specific measure of lexical selection. Lower FAT volume was not associated with lower conceptual or lexical selection abilities in our patient cohort. Current findings stand in marked discrepancy with previous lesion and neuroimaging evidence for the joint contribution of the IFG and the SMC to lexical and conceptual selection. A plausible explanation reconciling this discrepancy is that the IFG-SMC connectivity via the FAT does contribute to conceptual and/or lexical selection but its disrupted function undergoes reorganisation over the course of post-stroke recovery. Thus, our negative findings stress the importance of testing the causal role of the FAT in lexical and conceptual selection in patients with more acute frontal lobe lesions.
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http://dx.doi.org/10.1016/j.neuropsychologia.2020.107385 | DOI Listing |
Q J Exp Psychol (Hove)
January 2025
Faculdade de Letras, Universidade Federal de Minas Gerais.
The link between the cognitive effort of word processing and the eye movement patterns elicited by that word is well established in psycholinguistic research using eye tracking. Yet less evidence or consensus exists regarding whether the same link exists between complexity linguistic complexity measures of a sentence or passage, and eye movements registered at the sentence or passage level. This paper focuses on "global" measures of syntactic and lexical complexity, i.
View Article and Find Full Text PDFProc 6th ACM Conf Conversat User Interfaces (2024)
July 2024
IBM Research, Cambridge, MA, USA.
Writing utterances to train conversational agents can be a challenging and time-consuming task, and usually requires substantial expertise, meaning that novices face a steep learning curve. We investigated whether novices could be guided to produce utterances that adhere to best practices via an intervention of real-time linguistic feedback. We conducted a user study in which participants were tasked with writing training utterances for a particular topic () for a conversational agent.
View Article and Find Full Text PDFJ Phys Ther Educ
January 2025
Introduction: This study examines the ability of human readers, recurrence quantification analysis (RQA), and an online artificial intelligence (AI) detection tool (GPTZero) to distinguish between AI-generated and human-written personal statements in physical therapist education program applications.
Review Of Literature: The emergence of large language models such as ChatGPT and Google Gemini has raised concerns about the authenticity of personal statements. Previous studies have reported varying degrees of success in detecting AI-generated text.
Fast periodic visual stimulation (FPVS) coupled with EEG has been used for a decade to measure word-selective neural responses in (a)typical adults and developmental readers. Here, we used this FPVS-EEG approach to evaluate suitable and optimal stimulation frequency rates for prelexical and lexical word-selective responses and relate these rates to typical reading speed and interindividual variability in reading performance. EEG was recorded in 41 healthy adults who viewed words inserted periodically (1 Hz) at four different stimulation frequency rates (4 Hz, 6 Hz, 10 Hz, and 20 Hz).
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea.
Semantic processing is an essential mechanism in human language comprehension and has profound implications for speech brain-computer interface technologies. Despite recent advances in brain imaging techniques and data analysis algorithms, the mechanisms underlying human brain semantic representations remain a topic of debate, specifically whether this occurs through the activation of selectively separated cortical regions or via a network of distributed and overlapping regions. This study investigates spatiotemporal neural representation during the perception of semantic words related to faces, numbers, and animals using electroencephalography.
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