Language Processing, Functional Magnetic Resonance Imaging of

Yang, Jie; Small, Steven L.

doi:10.1016/b978-0-08-097086-8.54033-1

Cited by 7 publications

(6 citation statements)

References 251 publications

(326 reference statements)

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“…The DLPFC is mainly responsible for working memory (Crottaz-Herbette et al, 2004;Grimault et al, 2009), and its activation level has been considered as a neural marker of lower AP skills (Ross et al, 2004;Wilson et al, 2009;Zatorre et al, 1994) because the less expert musicians seem to adopt a pitch working memory strategy to keep the tones "in mind." Some of the regions that had significant RSFC with the DLPFC in the current study have also been found to be related to working memory (for example, fusiform gyrus, see Schmithorst & Holland, 2004;Wu et al, 2017; putamen, see Wu et al, 2017; superior frontal gyrus, see du Boisgueheneuc et al, 2006;Wu et al, 2017;Yoon et al, 2016; precentral gyrus, see Bunge et al, 2001;Hautzel et al, 2002;Yang & Small, 2015).…”

Section: Musical Training and Dynamic Rsfcsupporting

confidence: 61%

“…Some of the regions are also responsible for language processing, which has been found to be improved by musical training. For example, musical training can improve phonological and semantic processing subserved by the superior temporal gyrus (Lai et al, 2015), or phonological processing subserved by the inferior parietal lobule (Bermudez et al, 2009; Bermudez & Zatorre, 2005; Lai et al, 2015) or the precentral gyrus (Bunge et al, 2001; Hautzel et al, 2002; Yang & Small, 2015). Consistently, phonological and semantic strategies have been found to benefit PI processing (Hsieh & Saberi, 2008; Wilson et al, 2009; Zatorre & Beckett, 1989).…”

Section: Discussionmentioning

confidence: 99%

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Dynamic resting-state functional connectivity and pitch identification ability in nonmusicians.

Hou¹,

Chen²

2021

Psychomusicology: Music, Mind, and Brain

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Previous studies have used task-related and "static" resting-state fMRI (RS-fMRI) to investigate the neural basis of pitch identification (PI) ability in nonmusicians. Recent studies have shown that RS-fMRI is of nonstationarity, so "dynamic" RS-fMRI is needed to capture the temporal variability and the different internal states (in terms of regional interactions) in the brain networks. Using a large sample of Chinese nonmusicians (N = 320, with 56 of whom having musical training) and applying the sliding windows method, the current study examined the associations among musical training, PI ability, and dynamic resting-state functional connectivity (RSFC). Results showed that musical training was associated with increased dynamic RSFC within the networks for the following cognitive functions: working memory, language, attention, motor control, vision, and auditory perception. For participants with musical training, PI ability was associated with dynamic RSFC within the networks for the following cognitive functions: working memory, attention, and executive control. For participants without musical training, PI ability was associated with dynamic RSFC within the networks for auditory and visuospatial perception. These results from dynamic RSFC supplemented earlier results based on static RSFC, suggesting that dynamic RSFC is a potential tool for evaluating music cognition or music ability.

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Section: Musical Training and Dynamic Rsfcsupporting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Dynamic resting-state functional connectivity and pitch identification ability in nonmusicians.

Hou¹,

Chen²

2021

Psychomusicology: Music, Mind, and Brain

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“…The left IFG participates in phonological and semantic processing [ 79 ]. As a key component of the ventral stream that processes speech signals for comprehension, the left middle temporal gyrus plays an important role in phonological–semantic mapping and semantic information retrieval [ 62 , 80 , 81 , 82 ]. In addition, as a structure containing the human primary auditory cortex, the right HES is related to the processing of phonological information [ 83 , 84 ].…”

Section: Discussionmentioning

confidence: 99%

The Differences in the Whole-Brain Functional Network between Cantonese-Mandarin Bilinguals and Mandarin Monolinguals

Fan

et al. 2021

Brain Sciences

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Cantonese-Mandarin bilinguals are logographic-logographic bilinguals that provide a unique population for bilingual studies. Whole brain functional connectivity analysis makes up for the deficiencies of previous bilingual studies on the seed-based approach and helps give a complete picture of the brain connectivity profiles of logographic-logographic bilinguals. The current study is to explore the effect of the long-term logographic-logographic bilingual experience on the functional connectivity of the whole-brain network. Thirty Cantonese-Mandarin bilingual and 30 Mandarin monolingual college students were recruited in the study. Resting state functional magnetic resonance imaging (rs-fMRI) was performed to investigate the whole-brain functional connectivity differences by network-based statistics (NBS), and the differences in network efficiency were investigated by graph theory between the two groups (false discovery rate corrected for multiple comparisons, q = 0.05). Compared with the Mandarin monolingual group, Cantonese-Mandarin bilinguals increased functional connectivity between the bilateral frontoparietal and temporal regions and decreased functional connectivity in the bilateral occipital cortex and between the right sensorimotor region and bilateral prefrontal cortex. No significant differences in network efficiency were found between the two groups. Compared with the Mandarin monolinguals, Cantonese-Mandarin bilinguals had no significant discrepancies in network efficiency. However, the Cantonese-Mandarin bilinguals developed a more strongly connected subnetwork related to language control, inhibition, phonological and semantic processing, and memory retrieval, whereas a weaker connected subnetwork related to visual and phonology processing, and speech production also developed.

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“…The involvement of middle temporal structures in processing sounds and sound structure is well established (Yang & Small, 2015). The dual-stream model of speech processing identifies the middle temporal gyrus as a key component of the ventral stream (e.g., Hickok & Poeppel, 2004.…”

Section: Phonological Levelmentioning

confidence: 99%

Bilingual language processing: A meta-analysis of functional neuroimaging studies

Sulpizio

Maschio

Fedeli

et al. 2020

Neuroscience & Biobehavioral Reviews

116

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Notwithstanding rising interest, a coherent picture of the brain's representation of two languages has not yet been achieved. In the present meta-analysis we analysed a large number of functional neuroimaging studies focusing on language processing in bilinguals. We used activation likelihood estimation (ALE) to enucleate activation areas involved in bilingual processing and control of different types of linguistic knowledge -lexico-semantics, grammar, phonology -in L1 and L2. Results show that surprisingly, compared to L2, lexico-semantic processing in L1 involves a widespread system of cortico-subcortical regions, especially when L2 is acquired later in life. By contrast, L2 processing recruits regions exceeding the L1 semantic network and relating to executive control processes. Only few regions displayed selective activation for grammar and phonology. Analyses of language switching highlight a functional overlap between domain-general and bilingual language control networks. Collectively, our findings point to a shared neural network for L1 and L2 with few differences depending on the linguistic level. The emerging picture identifies under-investigated issues, offering clear directions for future research.

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Language Processing, Functional Magnetic Resonance Imaging of

Cited by 7 publications

References 251 publications

Dynamic resting-state functional connectivity and pitch identification ability in nonmusicians.

Dynamic resting-state functional connectivity and pitch identification ability in nonmusicians.

The Differences in the Whole-Brain Functional Network between Cantonese-Mandarin Bilinguals and Mandarin Monolinguals

Bilingual language processing: A meta-analysis of functional neuroimaging studies

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