Journal of Neurolinguistics最新文献

Research on Parkinson's disease (PD) has documented significant deficits in verb production, with more robust results in single word retrieval tasks than in connected speech, yet the underlying causes of these deficits are disputable, especially concerning connected speech production. We analyzed picture descriptions provided by 48 individuals with PD and 48 age-matched healthy controls, and examined the percent of nouns and verbs of all words, the number of described events, verbs denoting activity, verbs in active morpho-syntactic patterns, and transitive verbs. Individuals with PD produced a lower percent of verbs than did control participants, but the groups differed in no other variable. Scores on a cognitive screening task associated with the percent of verbs and the number of events. We suggest that verb retrieval in connected speech in PD reflects no specific difficulty with action semantics, but rather the spread of PD pathology into more diffuse verb-specific neural networks.

This study examines how children with developmental language disorder (DLD) discriminate voiced and voiceless consonants and their processing speed. It also explores the contribution of factors like age, nonverbal intelligence, vocabulary, morphosyntactic skills, and sentence repetition in explaining speech perception abilities. Fourteen Cypriot Greek children with DLD and 14 peers with typical development (TD) aged 7; 10–10; 4 were recruited. Children were divided into four groups based on age and condition: young-DLD, young-TD, old-DLD, and old-TD. All children participated in an AX task, which measured their ability to discriminate sounds and their processing speed. They also completed a nonverbal intelligence test and a DVIQ test, which provided measures of various language abilities. The results demonstrated that the young-DLD group exhibited lower performance in discriminating consonants compared to the young-TD group, while such differences were not observed between the old-DLD and old-TD groups. Furthermore, while no significant differences in processing time were found between the DLD and TD groups, both young DLD and TD groups displayed longer processing times compared to their older counterparts. Age was the best-contributing factor to speech perception abilities in children with DLD in contrast to morphosyntax and vocabulary for children with TD. These findings highlight the role of voicing discrimination as a diagnostic marker of DLD as opposed to reaction time. Moreover, they underscore the crucial role of age in detecting DLD. The language developmental trajectories of children with TD appear distinct from those with DLD, as evidenced by variations in contributing factors between the two groups. These disparities can be attributed to the diverse nature of the DLD population, the therapies they receive, the compensatory strategies they employ, and the potential impact of other contributing factors.

Both artificial and biological systems are faced with the challenge of noisy and uncertain estimation of the state of the world, in contexts where feedback is often delayed. This challenge also applies to the processes of language production and comprehension, both when they take place in isolation (e.g., in monologue or solo reading) and when they are combined as is the case in dialogue. Crucially, we argue, dialogue brings with it some unique challenges. In this paper, we describe three such challenges within the general framework of control theory, drawing analogies to mechanical and biological systems where possible: (1) the need to distinguish between self- and other-generated utterances; (2) the need to adjust the amount of advance planning (i.e., the degree to which planning precedes articulation) flexibly to achieve timely turn-taking; (3) the need to track changing conversational goals. We show that message-to-sound models of language production (i.e., those that cover the whole process from message generation to articulation) tend to implement fairly simple control architectures. However, we argue that more sophisticated control architectures are necessary to build language production models that can account for both monologue and dialogue.

Context

Previous research has identified a homogeneous language behavior among women speakers with a progressive mild cognitive impairment (MCI). These speakers primarily utilize verbal and non-verbal pragmatic markers with interactive functions to maintain communication with the interlocutor, and this function significantly increases in time. However, the speakers have observed variations, prompting the development of an individualized analysis of the participants' discursive productions considering neurolinguistic models.

Methods

A multimodal and individualized analysis was conducted on five women over 75, diagnosed with progressive MCI, using longitudinal and natural language corpora. The data were processed using transcription tools (i.e., verbal discourse) and annotation tools (i.e., gestures), then subjected to Principal Component Analyses due to the diverse data set and discursive modalities to analyze for each individual.

Results & conclusion

The results reveal variations, even specialization, in verbal and gestural pragmatic markers based on cognitive and empathic profiles, as well as certain resilience factors among study participants. Three behavioral patterns emerge among the profiles of amnestic MCI with standard progression, multidomain MCI profiles, and MCI profiles occurring at a very advanced age in the context of good cognitive reserve. These findings encourage further research to characterize MCI as a dynamic and variable diagnostic entity from one individual to another. Additionally, corpus analysis could enable clinicians to assess the discourse of individuals with MCI for diagnostic purposes and evaluate treatments' effectiveness, especially speech therapy.