Literature DB >> 24184438

On the role of the supramarginal gyrus in phonological processing and verbal working memory: evidence from rTMS studies.

Isabelle Deschamps1, Shari R Baum2, Vincent L Gracco3.   

Abstract

The supramarginal gyrus (SMG) is activated for phonological processing during both language and verbal working memory tasks. Using rTMS, we investigated whether the contribution of the SMG to phonological processing is domain specific (specific to phonology) or more domain general (specific to verbal working memory). A measure of phonological complexity was developed based on sonority differences and subjects were tested after low frequency rTMS on a same/different judgment task and an n-back verbal memory task. It was reasoned that if the phonological processing in the SMG is more domain general, i.e., related to verbal working memory demands, performance would be more affected by the rTMS during the n-back task than during the same/different judgment task. Two auditory experiments were conducted. The first experiment demonstrated that under conditions where working memory demands are minimized (i.e. same/different judgment), repetitive stimulation had no effect on performance although performance varied as a function of phonological complexity. The second experiment demonstrated that during a verbal working memory task (n-back task), where phonological complexity was also manipulated, subjects were less accurate and slower at performing the task after stimulation but the effect of phonology was not affected. The results confirm that the SMG is involved in verbal working memory but not in the encoding of sonority differences.
© 2013 Published by Elsevier Ltd.

Entities:  

Keywords:  Phonological processing; Supramarginal gyrus; Transcranial magnetic stimulation; Verbal working memory

Mesh:

Year:  2013        PMID: 24184438     DOI: 10.1016/j.neuropsychologia.2013.10.015

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  42 in total

1.  The Structural Correlates of Statistical Information Processing during Speech Perception.

Authors:  Isabelle Deschamps; Uri Hasson; Pascale Tremblay
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

2.  Speech networks at rest and in action: interactions between functional brain networks controlling speech production.

Authors:  Kristina Simonyan; Stefan Fuertinger
Journal:  J Neurophysiol       Date:  2015-02-11       Impact factor: 2.714

3.  Changes in intrinsic connectivity of the brain's reading network following intervention in children with autism.

Authors:  Donna L Murdaugh; Jose O Maximo; Rajesh K Kana
Journal:  Hum Brain Mapp       Date:  2015-06-09       Impact factor: 5.038

4.  Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex.

Authors:  Andrew T Reid; Danilo Bzdok; Robert Langner; Peter T Fox; Angela R Laird; Katrin Amunts; Simon B Eickhoff; Claudia R Eickhoff
Journal:  Brain Struct Funct       Date:  2015-05-16       Impact factor: 3.270

5.  Utilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment.

Authors:  David A Loewenstein; Rosie E Curiel; Steven DeKosky; Russell M Bauer; Monica Rosselli; Salvador M Guinjoan; Malek Adjouadi; Ailyn Peñate; William W Barker; Sindy Goenaga; Todd Golde; Maria T Greig-Custo; Kevin S Hanson; Chunfei Li; Gabriel Lizarraga; Michael Marsiske; Ranjan Duara
Journal:  Neurology       Date:  2018-08-03       Impact factor: 9.910

6.  Altered spontaneous brain activity pattern in patients with ophthalmectomy: an resting-state fMRI study.

Authors:  Bing Zhang; Biao Li; Rong-Qiang Liu; Yong-Qiang Shu; You-Lan Min; Qing Yuan; Pei-Wen Zhu; Qi Lin; Lei Ye; Yi Shao
Journal:  Int J Ophthalmol       Date:  2020-02-18       Impact factor: 1.779

7.  Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder.

Authors:  Harry Rubin-Falcone; Francesca Zanderigo; Binod Thapa-Chhetry; Martin Lan; Jeffrey M Miller; M Elizabeth Sublette; Maria A Oquendo; David J Hellerstein; Patrick J McGrath; Johnathan W Stewart; J John Mann
Journal:  J Affect Disord       Date:  2017-11-13       Impact factor: 4.839

8.  Data-driven machine learning models for decoding speech categorization from evoked brain responses.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Neural Eng       Date:  2021-03-23       Impact factor: 5.379

9.  The frontotemporal organization of the arcuate fasciculus and its relationship with speech perception in young and older amateur singers and non-singers.

Authors:  Maxime Perron; Guillaume Theaud; Maxime Descoteaux; Pascale Tremblay
Journal:  Hum Brain Mapp       Date:  2021-04-09       Impact factor: 5.038

10.  Cognitive and Structural Correlates of Conversational Speech Timing in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease: Relevance for Early Detection Approaches.

Authors:  Céline De Looze; Amir Dehsarvi; Lisa Crosby; Aisling Vourdanou; Robert F Coen; Brian A Lawlor; Richard B Reilly
Journal:  Front Aging Neurosci       Date:  2021-04-27       Impact factor: 5.750

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.