Monitoring metrical stress in polysyllabic words

Schiller, Niels O.; Jansma, Bernadette M.; Peters, Judith C.; Levelt, Willem J. M.

doi:10.1080/01690960400001861

Cited by 35 publications

(39 citation statements)

References 42 publications

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“…Note that self-monitoring is an intrinsic part of every verbal task we carry out and it always plays a role in studies concerning aspects of speech production [Aleman et al, 2005;Schiller et al, 2006;Wheeldon and Levelt, 1995]. Every time we overtly produce a word we present ourselves with auditory input as well, which means that we not only engage speech production processes but also auditory speech comprehension.…”

Section: Introductionmentioning

confidence: 99%

Neural correlates of verbal feedback processing: An fMRI study employing overt speech

Christoffels

Formisano

Schiller

2007

Human Brain Mapping

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Speakers use external auditory feedback to monitor their own speech. Feedback distortion has been found to increase activity in the superior temporal areas. Using fMRI, the present study investigates the neural correlates of processing verbal feedback without distortion. In a blocked design, the following conditions were presented: (1) overt picture-naming, (2) overt picture-naming while pink noise was presented to mask external feedback, (3) covert picture-naming, (4) listening to the picture names (previously recorded from participants' own voices), and (5) listening to pink noise. The results show that auditory feedback processing involves a network of different areas related to general performance monitoring and speech-motor control. These include the cingulate cortex and the bilateral insula, supplementary motor area, bilateral motor areas, cerebellum, thalamus and basal ganglia. Our findings suggest that the anterior cingulate cortex, which is often implicated in error-processing and conflict-monitoring, is also engaged in ongoing speech monitoring. Furthermore, in the superior temporal gyrus, we found a reduced response to speaking under normal feedback conditions. This finding is interpreted in the framework of a forward model according to which, during speech production, the sensory consequence of the speech-motor act is predicted to attenuate the sensitivity of the auditory cortex. Hum Brain Mapp 28: [868][869][870][871][872][873][874][875][876][877][878][879] 2007. V V C 2007 Wiley-Liss, Inc.

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Section: Introductionmentioning

confidence: 99%

Neural correlates of verbal feedback processing: An fMRI study employing overt speech

Christoffels

Formisano

Schiller

2007

Human Brain Mapping

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192

174

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“…The most prominent theory of verbal monitoring is the perceptual-loop theory proposed by Levelt (1983Levelt ( , 1989. According to this theory, there is a single, central verbal monitor that checks the message for its appropriateness, inspects the speech plan, and detects errors prior to its articulation via the speech comprehension system (Postma and Noordanus, 1996;Schiller, 2005Schiller, , 2006Schiller, Jansma, Peters, and Levelt, 2006;Wheeldon and Levelt, 1995;Wheeldon and Morgan, 2002), as well as after speech has become overt (Postma, 2000).…”

Section: Introductionmentioning

confidence: 99%

Motivation and semantic context affect brain error-monitoring activity: An event-related brain potentials study

2008

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During speech production, we continuously monitor what we say. In situations in which speech errors potentially have more severe consequences, e.g. during a public presentation, our verbal selfmonitoring system may pay special attention to prevent errors than in situations in which speech errors are more acceptable, such as a casual conversation. In an event-related potential study, we investigated whether or not motivation affected participants' performance using a picture naming task in a semantic blocking paradigm. Semantic context of to-be-named pictures was manipulated; blocks were semantically related (e.g., cat, dog, horse, etc.) or semantically unrelated (e.g., cat, table, flute, etc.). Motivation was manipulated independently by monetary reward. The motivation manipulation did not affect error rate during picture naming. However, the highmotivation condition yielded increased amplitude and latency values of the error-related negativity (ERN) compared to the low-motivation condition, presumably indicating higher monitoring activity. Furthermore, participants showed semantic interference effects in reaction times and error rates. The ERN amplitude was also larger during semantically related than unrelated blocks, presumably indicating that semantic relatedness induces more conflict between possible verbal responses.

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“…Second, the inner loop inspects the speech plan prior to its articulation (Postma and Noordanus, 1996). The inner loop has access to abstract codes, i.e., the phonological planning level (Schiller, 2005(Schiller, , 2006Schiller et al, 2006;Wheeldon and Levelt, 1995;Wheeldon and Morgan, 2002). For instance, Wheeldon and Levelt (1995) asked participants to silently generate the Dutch translation of an auditorily presented English word and to monitor their covert production for a specific target segment in the Dutch translation.…”

Section: Introductionmentioning

confidence: 99%

Effects of time pressure on verbal self-monitoring: An ERP study

Ganushchak

Schiller

2006

Brain Research

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The Error-Related Negativity (ERN) is a component of the event-related brain potential (ERP) that is associated with action monitoring and error detection. The present study addressed the question whether or not an ERN occurs after verbal error detection, e.g., during phoneme monitoring. We obtained an ERN following verbal errors which showed a typical decrease in amplitude under severe time pressure. This result demonstrates that the functioning of the verbal self-monitoring system is comparable to other performance monitoring, such as action monitoring. Furthermore, we found that participants made more errors in phoneme monitoring under time pressure than in a control condition. This may suggest that time pressure decreases the amount of resources available to a capacity-limited self-monitor thereby leading to more errors. IntroductionError monitoring is an important executive function, which helps to adapt, anticipate, learn, correct, and mend the consequences of actions. The neural basis of error monitoring has become a key issue in cognitive neuroscience due to its importance to the aforementioned cognitive skills. A better understanding of its working may offer new insights into the dysfunctions of self-monitoring seen in a range of clinical conditions such as schizophrenia , opiate addicts (Forman et al., 2004), and obsessive-compulsive disorder (Gehring et al., 2000). Progress in identifying the functional characteristics of the error monitoring system has been mainly achieved through the study of an electrophysiological index thought to be associated with error processing, i.e., Error-Related Negativity (ERN; Falkenstein et al., 1991;Gehring et al., 1993). The ERN is a component of the event-related potential (ERP) that has a fronto-central scalp distribution and peaks about 80 ms after an overt incorrect response (Bernstein et al., 1995;Holroyd and Yeung, 2003;Scheffers et al., 1996). The early onset latency of the ERN with respect to the incorrect response is suggestive of an error monitoring system. The generation of the ERN has been localized in the anterior cingulate cortex (ACC; Dehaene et al., 1994;Holroyd and Coles, 2002). Several hypotheses of performance monitoring have been proposed to account for the ERN, for instance, the mismatch hypothesis put forward by Falkenstein et al. (1991), the response conflict hypothesis proposed by Carter et al. (1998), and the reinforcement learning theory by Holroyd and Coles (2002).The mismatch hypothesis considers the ERN as the result of a mismatch between the intended and the actual response execution (Bernstein et al., 1995). This hypothesis assumes a comparison between the internal representation of the intended correct response, arising from ongoing stimulus processing, and the internal representation of the actual

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Monitoring metrical stress in polysyllabic words

Cited by 35 publications

References 42 publications

Neural correlates of verbal feedback processing: An fMRI study employing overt speech

Neural correlates of verbal feedback processing: An fMRI study employing overt speech

Motivation and semantic context affect brain error-monitoring activity: An event-related brain potentials study

Effects of time pressure on verbal self-monitoring: An ERP study

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