Δευτέρα 25 Σεπτεμβρίου 2017

Semantic and Phonological Encoding Times in Adults Who Stutter: Brain Electrophysiological Evidence

Purpose
Some psycholinguistic theories of stuttering propose that language production operates along a different time course in adults who stutter (AWS) versus typically fluent adults (TFA). However, behavioral evidence for such a difference has been mixed. Here, the time course of semantic and phonological encoding in picture naming was compared in AWS (n = 16) versus TFA (n = 16) by measuring 2 event-related potential (ERP) components: NoGo N200, an ERP index of response inhibition, and lateralized readiness potential, an ERP index of response preparation.
Method
Each trial required a semantic judgment about a picture in addition to a phonemic judgment about the target label of the picture. Judgments were mapped onto a dual-choice (Go–NoGo/left–right) push-button response paradigm. On each trial, ERP activity time-locked to picture onset was recorded at 32 scalp electrodes.
Results
NoGo N200 was detected earlier to semantic NoGo trials than to phonemic NoGo trials in both groups, replicating previous evidence that semantic encoding generally precedes phonological encoding in language production. Moreover, N200 onset was earlier to semantic NoGo trials in TFA than in AWS, indicating that semantic information triggering response inhibition became available earlier in TFA versus AWS. In contrast, the time course of N200 activity to phonemic NoGo trials did not differ between groups. Lateralized readiness potential activity was influenced by strategic response preparation and, thus, could not be used to index real-time semantic and phonological encoding.
Conclusion
NoGo N200 results point to slowed semantic encoding in AWS versus TFA. Discussion considers possible factors in slowed semantic encoding in AWS and how fluency might be impacted by slowed semantic encoding.

from #Audiology via ola Kala on Inoreader http://article/doi/10.1044/2017_JSLHR-L-16-0309/2656220/Semantic-and-Phonological-Encoding-Times-in-Adults
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Semantic and Phonological Encoding Times in Adults Who Stutter: Brain Electrophysiological Evidence

Purpose
Some psycholinguistic theories of stuttering propose that language production operates along a different time course in adults who stutter (AWS) versus typically fluent adults (TFA). However, behavioral evidence for such a difference has been mixed. Here, the time course of semantic and phonological encoding in picture naming was compared in AWS (n = 16) versus TFA (n = 16) by measuring 2 event-related potential (ERP) components: NoGo N200, an ERP index of response inhibition, and lateralized readiness potential, an ERP index of response preparation.
Method
Each trial required a semantic judgment about a picture in addition to a phonemic judgment about the target label of the picture. Judgments were mapped onto a dual-choice (Go–NoGo/left–right) push-button response paradigm. On each trial, ERP activity time-locked to picture onset was recorded at 32 scalp electrodes.
Results
NoGo N200 was detected earlier to semantic NoGo trials than to phonemic NoGo trials in both groups, replicating previous evidence that semantic encoding generally precedes phonological encoding in language production. Moreover, N200 onset was earlier to semantic NoGo trials in TFA than in AWS, indicating that semantic information triggering response inhibition became available earlier in TFA versus AWS. In contrast, the time course of N200 activity to phonemic NoGo trials did not differ between groups. Lateralized readiness potential activity was influenced by strategic response preparation and, thus, could not be used to index real-time semantic and phonological encoding.
Conclusion
NoGo N200 results point to slowed semantic encoding in AWS versus TFA. Discussion considers possible factors in slowed semantic encoding in AWS and how fluency might be impacted by slowed semantic encoding.

from #Audiology via xlomafota13 on Inoreader http://article/doi/10.1044/2017_JSLHR-L-16-0309/2656220/Semantic-and-Phonological-Encoding-Times-in-Adults
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Semantic and Phonological Encoding Times in Adults Who Stutter: Brain Electrophysiological Evidence

Purpose
Some psycholinguistic theories of stuttering propose that language production operates along a different time course in adults who stutter (AWS) versus typically fluent adults (TFA). However, behavioral evidence for such a difference has been mixed. Here, the time course of semantic and phonological encoding in picture naming was compared in AWS (n = 16) versus TFA (n = 16) by measuring 2 event-related potential (ERP) components: NoGo N200, an ERP index of response inhibition, and lateralized readiness potential, an ERP index of response preparation.
Method
Each trial required a semantic judgment about a picture in addition to a phonemic judgment about the target label of the picture. Judgments were mapped onto a dual-choice (Go–NoGo/left–right) push-button response paradigm. On each trial, ERP activity time-locked to picture onset was recorded at 32 scalp electrodes.
Results
NoGo N200 was detected earlier to semantic NoGo trials than to phonemic NoGo trials in both groups, replicating previous evidence that semantic encoding generally precedes phonological encoding in language production. Moreover, N200 onset was earlier to semantic NoGo trials in TFA than in AWS, indicating that semantic information triggering response inhibition became available earlier in TFA versus AWS. In contrast, the time course of N200 activity to phonemic NoGo trials did not differ between groups. Lateralized readiness potential activity was influenced by strategic response preparation and, thus, could not be used to index real-time semantic and phonological encoding.
Conclusion
NoGo N200 results point to slowed semantic encoding in AWS versus TFA. Discussion considers possible factors in slowed semantic encoding in AWS and how fluency might be impacted by slowed semantic encoding.

from #Audiology via ola Kala on Inoreader http://article/doi/10.1044/2017_JSLHR-L-16-0309/2656220/Semantic-and-Phonological-Encoding-Times-in-Adults
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Corrigendum to “Place dependent stimulation rates improve pitch perception in cochlear implantees with single-sided deafness” [Hear. Res. 339 (2016) 94–103]

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Publication date: October 2017
Source:Hearing Research, Volume 354
Author(s): Tobias Rader, Julia Döge, Youssef Adel, Tobias Weissgerber, Uwe Baumann




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Corrigendum to “Place dependent stimulation rates improve pitch perception in cochlear implantees with single-sided deafness” [Hear. Res. 339 (2016) 94–103]

alertIcon.gif

Publication date: October 2017
Source:Hearing Research, Volume 354
Author(s): Tobias Rader, Julia Döge, Youssef Adel, Tobias Weissgerber, Uwe Baumann




from #Audiology via ola Kala on Inoreader http://ift.tt/2xrNphJ
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Corrigendum to “Place dependent stimulation rates improve pitch perception in cochlear implantees with single-sided deafness” [Hear. Res. 339 (2016) 94–103]

alertIcon.gif

Publication date: October 2017
Source:Hearing Research, Volume 354
Author(s): Tobias Rader, Julia Döge, Youssef Adel, Tobias Weissgerber, Uwe Baumann




from #Audiology via ola Kala on Inoreader http://ift.tt/2xrNphJ
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Are You a Slave to Your E-mail? 

Do you find yourself constantly checking it throughout the day? Does it keep you from getting other more important tasks done? If so, you may want to read Paul Argenti's Harvard Business Review's article titled Stop Letting Email Control Your Work Day. Professor Argenti first suggests taking a look at all your work tasks and dividing them up into four categories.



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