H2020Индивидуална стипендия2019–2022

UMMs · Unifying Monitoring Models of Verbal Monitoring.

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2019-05-01 → 2022-11-18
Финансиране от ЕС
187 572 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Механизмите за вербален мониторинг изследват как забелязваме грешки в собствената си реч или в думите на другите. По-доброто разбиране на тези процеси помага при разработването на терапии за хора с заекване или шизофрения.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Unifying Monitoring Models of Verbal Monitoring.

The research project investigates multiple fundamental aspects of the verbal monitoring mechanism. While the reduction of error production, and the ability to resolve errors heard in the speech of someone else, are very central to our ability to communicate, many fundamental aspects of this verbal monitoring mechanism are as of yet unknown. It is important for society to increase our understanding of the verbal monitoring system, as deficits in the verbal monitoring system have been indicated as a source for multiple debilitating pathologies, such as stammering and hearing voices (e.g. as observed in schizophrenia). By better understanding the healthy verbal monitoring system, we better understand what goes wrong in the case of pathologies. This increased understanding allows us to develop new tools and therapies for those in need. The objective of the research proposal was to investigate if and how cognitive control and language production skills are related to verbal monitoring behavior, thereby investigating fundamental assumptions of current verbal monitoring models. The revised proposal also revolved around investigating fundamental aspects of verbal monitoring, but in a less dependent and coherent way.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Everyone makes mistakes during speech production. However, to facilitate communication, it is important to limit errors during production (e.g. selecting the wrong word but also disfluencies such as ‘ums’ and stuttering), and to identify errors while listening. This is achieved by applying monitoring mechanisms. Deficits in verbal monitoring mechanisms are linked to severe pathologies, such as stuttering, aphasia and hearing voices. Currently, there are a number of theories that explain part of the mechanisms of verbal monitoring. Despite its central role in language processing, astonishingly, no full account exists. Contemporary verbal monitoring models differ widely with respect to some fundamental properties, indicating significant knowledge gaps. This research project fills in these theoretical gaps by relating the functional brain connectome and structural brain connectome with behavioural measures. We exploit the individual variability of a large cohort of healthy adult individuals, by testing groups on the two extremes of performance on cognitive control tasks, and on two extremes of language production tasks. In four work packages, we investigate the neurobiological and behavioural underpinnings of verbal monitoring in healthy adults. The proposal clarifies 1) if a relationship exists between production competence and monitoring (as per production models of monitoring) and 2) if measures of cognitive control are related to verbal monitoring skills (as per conflict models of monitoring) and 3) the involvement of these processes verbal monitoring in perception. To reach this goal we relate the functional brain connectome and structural brain connectome with behavioural measures. The output of 1-3 is used to inform a new model of verbal monitoring. As a final step, the new model is validated by applying TMS to critical cortical components of the model. The proposed project will constitute major progress in our understanding of the verbal monitoring mechanism.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз