scholarly journals Top-down resolution of lexico-semantic competition in speech production and the role of the left inferior frontal gyrus: an fMRI study

2020 ◽  
Vol 36 (1) ◽  
pp. 1-12
Author(s):  
Hanna S. Gauvin ◽  
Katie L. McMahon ◽  
Greig I. de Zubicaray
2008 ◽  
Vol 1229 ◽  
pp. 167-178 ◽  
Author(s):  
Christopher M. Grindrod ◽  
Natalia Y. Bilenko ◽  
Emily B. Myers ◽  
Sheila E. Blumstein

2010 ◽  
Vol 22 (6) ◽  
pp. 1140-1157 ◽  
Author(s):  
Cristiano Crescentini ◽  
Tim Shallice ◽  
Emiliano Macaluso

Selection between competing responses and stimulus-response association strength is thought to affect performance during verb generation. However, the specific contribution of these two processes remains unclear. Here we used fMRI to investigate the role of selection and association within frontal and BG circuits that are known to be involved in verb production. Subjects were asked to generate verbs from nouns in conditions requiring either high or low selection, but with constant association strength, and in conditions of weak or strong association strength, now with constant selection demands. Furthermore, we examined the role of selection and association during noun generation from noun stimuli. We found that the midpart of the left inferior frontal gyrus was more active in conditions requiring high compared with low selection, with matched association strength. The same left inferior frontal region activated irrespective of verb or noun generation. Results of ROI analyses showed effects of association strength only for verb generation and specifically in the anterior/ventral part of the left inferior frontal gyrus. Moreover, the BG were more active when weakly associated verbs had to be produced relative to weakly associated nouns. These results highlight a functional segregation within the left inferior frontal gyrus for verb generation. More generally, the findings suggest that both factors of selection between competing responses and association strength are important during single-word production with the latter factor becoming particularly critical when task-irrelevant stimuli interfere with the current task (here nouns during verb production), triggering additional activation of the BG.


2006 ◽  
Vol 18 (1) ◽  
pp. 64-74 ◽  
Author(s):  
Vinod Venkatraman ◽  
Soon Chun Siong ◽  
Michael W. L. Chee ◽  
Daniel Ansari

The role of language in performing numerical computations has been a topic of special interest in cognition. The “Triple Code Model” proposes the existence of a language-dependent verbal code involved in retrieving arithmetic facts related to addition and multiplication, and a language-independent analog magnitude code subserving tasks such as number comparison and estimation. Neuroimaging studies have shown dissociation between dependence of arithmetic computations involving exact and approximate processing on language-related circuits. However, a direct manipulation of language using different arithmetic tasks is necessary to assess the role of language in forming arithmetic representations and in solving problems in different languages. In the present study, 20 English-Chinese bilinguals were trained in two unfamiliar arithmetic tasks in one language and scanned using fMRI on the same problems in both languages (English and Chinese). For the exact “base-7 addition” task, language switching effects were found in the left inferior frontal gyrus (LIFG) and left inferior parietal lobule extending to the angular gyrus. In the approximate “percentage estimation” task, language switching effects were found predominantly in the bilateral posterior intraparietal sulcus and LIFG, slightly dorsal to the LIFG activation seen for the base-7 addition task. These results considerably strengthen the notion that exact processing relies on verbal and language-related networks, whereas approximate processing engages parietal circuits typically involved in magnitude-related processing.


2017 ◽  
Vol 29 (9) ◽  
pp. 1605-1620 ◽  
Author(s):  
Yun-Hsuan Yang ◽  
William D. Marslen-Wilson ◽  
Mirjana Bozic

Prominent neurobiological models of language follow the widely accepted assumption that language comprehension requires two principal mechanisms: a lexicon storing the sound-to-meaning mapping of words, primarily involving bilateral temporal regions, and a combinatorial processor for syntactically structured items, such as phrases and sentences, localized in a left-lateralized network linking left inferior frontal gyrus (LIFG) and posterior temporal areas. However, recent research showing that the processing of simple phrasal sequences may engage only bilateral temporal areas, together with the claims of distributional approaches to grammar, raise the question of whether frequent phrases are stored alongside individual words in temporal areas. In this fMRI study, we varied the frequency of words and of short and long phrases in English. If frequent phrases are indeed stored, then only less frequent items should generate selective left frontotemporal activation, because memory traces for such items would be weaker or not available in temporal cortex. Complementary univariate and multivariate analyses revealed that, overall, simple words (verbs) and long phrases engaged LIFG and temporal areas, whereas short phrases engaged bilateral temporal areas, suggesting that syntactic complexity is a key factor for LIFG activation. Although we found a robust frequency effect for words in temporal areas, no frequency effects were found for the two phrasal conditions. These findings support the conclusion that long and short phrases are analyzed, respectively, in the left frontal network and in a bilateral temporal network but are not retrieved from memory in the same way as simple words during spoken language comprehension.


2009 ◽  
Vol 19 (9) ◽  
pp. 2156-2165 ◽  
Author(s):  
Marina Papoutsi ◽  
Jacco A. de Zwart ◽  
J. Martijn Jansma ◽  
Martin J. Pickering ◽  
James A. Bednar ◽  
...  

2017 ◽  
Vol 37 (43) ◽  
pp. 10323-10333 ◽  
Author(s):  
Zhiqiang Guo ◽  
Xiuqin Wu ◽  
Weifeng Li ◽  
Jeffery A. Jones ◽  
Nan Yan ◽  
...  

2018 ◽  
Author(s):  
Hyojin Park ◽  
Gregor Thut ◽  
Joachim Gross

AbstractNatural communication between interlocutors is enabled by the ability to predict upcoming speech in a given context. Previously we showed that these predictions rely on a fronto-motor top-down control of low-frequency oscillations in auditory-temporal brain areas that track intelligible speech. However, a comprehensive spatio-temporal characterisation of this effect is still missing. Here, we applied transfer entropy to source-localised MEG data during continuous speech perception. First, at low frequencies (1-4 Hz, brain delta phase to speech delta phase), predictive effects start in left fronto-motor regions and progress to right temporal regions. Second, at higher frequencies (14-18 Hz, brain beta power to speech delta phase), predictive patterns show a transition from left inferior frontal gyrus via left precentral gyrus to left primary auditory areas. Our results suggest a progression of prediction processes from higher-order to early sensory areas in at least two different frequency channels.


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