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Zhang J, Li H, Qu J, Liu X, Feng X, Fu X, Mei L. Language proficiency is associated with neural representational dimensionality of semantic concepts. BRAIN AND LANGUAGE 2024; 258:105485. [PMID: 39388908 DOI: 10.1016/j.bandl.2024.105485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 09/28/2024] [Accepted: 10/04/2024] [Indexed: 10/12/2024]
Abstract
Previous studies suggest that semantic concepts are characterized by high-dimensional neural representations and that language proficiency affects semantic processing. However, it is not clear whether language proficiency modulates the dimensional representations of semantic concepts at the neural level. To address this question, the present study adopted principal component analysis (PCA) and representational similarity analysis (RSA) to examine the differences in representational dimensionalities (RDs) and in semantic representations between words in highly proficient (Chinese) and less proficient (English) language. PCA results revealed that language proficiency increased the dimensions of lexical representations in the left inferior frontal gyrus, temporal pole, inferior temporal gyrus, supramarginal gyrus, angular gyrus, and fusiform gyrus. RSA results further showed that these regions represented semantic information and that higher semantic representations were observed in highly proficient language relative to less proficient language. These results suggest that language proficiency is associated with the neural representational dimensionality of semantic concepts.
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Affiliation(s)
- Jingxian Zhang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Huiling Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Jing Qu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Xiaoyu Liu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Xiaoxue Feng
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Xin Fu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China; Center for Studies of Psychological Application, South China Normal University, 510631, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China.
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Dong J, Yan H, Mei L, Wang G, Qu J, Liu X, Xu S, Jiang W, Zheng A, Feng G. Greater Pattern Similarity between Mother Tongue and Second Language in the Right ATL Facilitates Understanding of Written Language. Neuroscience 2024; 544:117-127. [PMID: 38447688 DOI: 10.1016/j.neuroscience.2024.02.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
Previous research has mapped out the brain regions that respond to semantic stimuli presented visually and auditorily, but there is debate about whether semantic representation is modality-specific (only written or only spoken) or modality-invariant (both written and spoken). The mechanism of semantic representation underlying native (L1) and second language (L2) comprehension in different modalities as well as how this mechanism is influenced by L2 proficiency, remains unclear. We used functional magnetic resonance imaging (fMRI) data from the OpenNEURO database to calculate neural pattern similarity across native and second languages (Spanish and English) for different input modalities (written and spoken) and learning sessions (before and after training). The correlations between behavioral performance and cross-language pattern similarity for L1 and L2 were also calculated. Spanish-English bilingual adolescents (N = 24; ages 16-17; 19 girls) participated in a 3-month English immersion after-school program. As L2 proficiency increased, greater cross-language pattern similarity between L1 and L2 spoken words was observed in the left pars triangularis. Cross-language pattern similarity between L1 and L2 written words was observed in the right anterior temporal lobe. Brain-behavior correlations indicated that increased cross-language pattern similarity between L1 and L2 written words in the right anterior temporal lobe was associated with L2 written word comprehension. This study identified an effective neurofunctional predictor related to L2 written word comprehension.
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Affiliation(s)
- Jie Dong
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Hao Yan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631 Guangzhou, China
| | - Gang Wang
- Xi'an GEM Flower Changqing Hospital, Xi'an, China
| | - Jing Qu
- Key Laboratory of Behavioral and Mental Health of Gansu, Northwest Normal University, Lanzhou, China
| | - Xinyi Liu
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Shanshan Xu
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Wenjing Jiang
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Aoke Zheng
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Genyi Feng
- Xi'an GEM Flower Changqing Hospital, Xi'an, China.
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Liu C, Mao Y, Wang X, Schwieter JW, Jiao L. Sleep-dependent consolidation effects on foreign language word acquisition in a virtual reality environment. Mem Cognit 2024; 52:302-311. [PMID: 37794311 DOI: 10.3758/s13421-023-01461-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2023] [Indexed: 10/06/2023]
Abstract
Sleep-dependent consolidation is important for novel word learning, but previous studies have neglected the potential modulating role of learning environments. The present study examines sleep-dependent consolidation effects by comparing learning in a virtual reality (VR) environment and in a traditional picture-word (PW) environment. Two groups of Chinese-English bilinguals were randomly assigned to a VR or PW environment. In both learning environments, they learned novel words in Korean, a language with which they had no prior experience. All participants learned one set of novel words on Day 1 and another set on Day 2. An explicit recognition task and an implicit primed lexical-decision task were employed to measure sleep-dependent consolidation effects from the two environments. Results revealed sleep-dependent consolidation effects in both explicit and implicit measures, but only the primed lexical-decision task showed an influence of learning environment, suggesting that novel words learned via VR had better consolidation. Taken together, our findings suggest that a VR environment that fosters a rich sensory experience facilitates sleep-dependent consolidation effects. We argue that these results provide new evidence and implications for the complementary learning system (CLS) model.
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Affiliation(s)
- Cong Liu
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, NingXia R, No.308, Qingdao, 266071, China
| | - Yanna Mao
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, NingXia R, No.308, Qingdao, 266071, China
| | - Xiaohan Wang
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, NingXia R, No.308, Qingdao, 266071, China
| | - John W Schwieter
- Language Acquisition, Multilingualism, and Cognition Laboratory/Bilingualism Matters @ Wilfrid Laurier University, Waterloo, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton, Canada
| | - Lu Jiao
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, NingXia R, No.308, Qingdao, 266071, China.
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Bai Y, Liu S, Zhu M, Wang B, Li S, Meng L, Shi X, Chen F, Jiang H, Jiang C. Perceptual Pattern of Cleft-Related Speech: A Task-fMRI Study on Typical Mandarin-Speaking Adults. Brain Sci 2023; 13:1506. [PMID: 38002467 PMCID: PMC10669275 DOI: 10.3390/brainsci13111506] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/30/2023] [Accepted: 10/17/2023] [Indexed: 11/26/2023] Open
Abstract
Congenital cleft lip and palate is one of the common deformities in the craniomaxillofacial region. The current study aimed to explore the perceptual pattern of cleft-related speech produced by Mandarin-speaking patients with repaired cleft palate using the task-based functional magnetic resonance imaging (task-fMRI) technique. Three blocks of speech stimuli, including hypernasal speech, the glottal stop, and typical speech, were played to 30 typical adult listeners with no history of cleft palate speech exploration. Using a randomized block design paradigm, the participants were instructed to assess the intelligibility of the stimuli. Simultaneously, fMRI data were collected. Brain activation was compared among the three types of speech stimuli. Results revealed that greater blood-oxygen-level-dependent (BOLD) responses to the cleft-related glottal stop than to typical speech were localized in the right fusiform gyrus and the left inferior occipital gyrus. The regions responding to the contrast between the glottal stop and cleft-related hypernasal speech were located in the right fusiform gyrus. More significant BOLD responses to hypernasal speech than to the glottal stop were localized in the left orbital part of the inferior frontal gyrus and middle temporal gyrus. More significant BOLD responses to typical speech than to the glottal stop were localized in the left inferior temporal gyrus, left superior temporal gyrus, left medial superior frontal gyrus, and right angular gyrus. Furthermore, there was no significant difference between hypernasal speech and typical speech. In conclusion, the typical listener would initiate different neural processes to perceive cleft-related speech. Our findings lay a foundation for exploring the perceptual pattern of patients with repaired cleft palate.
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Affiliation(s)
- Yun Bai
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Shaowei Liu
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, China
| | - Mengxian Zhu
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Binbing Wang
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Sheng Li
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Liping Meng
- Department of Children’s Healthcare, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing 210004, China
| | - Xinghui Shi
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Fei Chen
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Hongbing Jiang
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Chenghui Jiang
- Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China; (Y.B.)
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing 210029, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
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Dang Q, Ma F, Yuan Q, Fu Y, Chen K, Zhang Z, Lu C, Guo T. Processing negative emotion in two languages of bilinguals: Accommodation and assimilation of the neural pathways based on a meta-analysis. Cereb Cortex 2023:7133665. [PMID: 37083264 DOI: 10.1093/cercor/bhad121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 04/22/2023] Open
Abstract
Numerous functional magnetic resonance imaging (fMRI) studies have examined the neural mechanisms of negative emotional words, but scarce evidence is available for the interactions among related brain regions from the functional brain connectivity perspective. Moreover, few studies have addressed the neural networks for negative word processing in bilinguals. To fill this gap, the current study examined the brain networks for processing negative words in the first language (L1) and the second language (L2) with Chinese-English bilinguals. To identify objective indicators associated with negative word processing, we first conducted a coordinate-based meta-analysis on contrasts between negative and neutral words (including 32 contrasts from 1589 participants) using the activation likelihood estimation method. Results showed that the left medial prefrontal cortex (mPFC), the left inferior frontal gyrus (IFG), the left posterior cingulate cortex (PCC), the left amygdala, the left inferior temporal gyrus (ITG), and the left thalamus were involved in processing negative words. Next, these six clusters were used as regions of interest in effective connectivity analyses using extended unified structural equation modeling to pinpoint the brain networks for bilingual negative word processing. Brain network results revealed two pathways for negative word processing in L1: a dorsal pathway consisting of the left IFG, the left mPFC, and the left PCC, and a ventral pathway involving the left amygdala, the left ITG, and the left thalamus. We further investigated the similarity and difference between brain networks for negative word processing in L1 and L2. The findings revealed similarities in the dorsal pathway, as well as differences primarily in the ventral pathway, indicating both neural assimilation and accommodation across processing negative emotion in two languages of bilinguals.
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Affiliation(s)
- Qinpu Dang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Fengyang Ma
- School of Education, University of Cincinnati, Cincinnati, OH 45219, USA
| | - Qiming Yuan
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yongben Fu
- The Psychological Education and Counseling Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Keyue Chen
- Division of Psychology and Language Sciences, University College London, London WC1E 6BT, UK
| | - Zhaoqi Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Chunming Lu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Taomei Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
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Li H, Cao Y, Chen C, Liu X, Zhang S, Mei L. The depth of semantic processing modulates cross-language pattern similarity in Chinese-English bilinguals. Hum Brain Mapp 2023; 44:2085-2098. [PMID: 36579666 PMCID: PMC9980893 DOI: 10.1002/hbm.26195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/22/2022] [Accepted: 12/16/2022] [Indexed: 12/30/2022] Open
Abstract
Previous studies have investigated factors related to the degree of cross-language overlap in brain activations in bilinguals/multilinguals. However, it is still unclear whether and how the depth of semantic processing (a critical task-related factor) affects the neural pattern similarity between native and second languages. To address this question, 26 Chinese-English bilinguals were scanned with fMRI while performing a word naming task (i.e., a task with shallow semantic processing) and a semantic judgment task (i.e., a task with deep semantic processing) in both native and second languages. Based on three sets of representational similarity analysis (whole brain, ROI-based, and within-language vs. cross-language semantic representation), we found that select regions in the reading brain network showed higher cross-language pattern similarity and higher cross-language semantic representations during deep semantic processing than during shallow semantic processing. These results suggest that compared to shallow semantic processing, deep semantic processing may lead to greater language-independent processing (i.e., cross-language semantic representation) and cross-language pattern similarity, and provide direct quantitative neuroimaging evidence for cognitive models of bilingual lexical memory.
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Affiliation(s)
- Huiling Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Ying Cao
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Chuansheng Chen
- Department of Psychological Science, University of California, Irvine, California, USA
| | - Xiaoyu Liu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Shuo Zhang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China
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Dong J, Yue Q, Li A, Gu L, Su X, Chen Q, Mei L. Individuals' preference on reading pathways influences the involvement of neural pathways in phonological learning. Front Psychol 2022; 13:1067561. [PMID: 36591053 PMCID: PMC9794771 DOI: 10.3389/fpsyg.2022.1067561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Introduction Existing behavioral and neuroimaging studies revealed inter-individual variability in the selection of the two phonological routes in word reading. However, it is not clear how individuals' preferred reading pathways/strategies modulate the involvement of a certain brain region for phonological learning in a new language, and consequently affect their behavioral performance on phonological access. Methods To address this question, the present study recruited a group of native Chinese speakers to learn two sets of artificial language characters, respectively, in addressed-phonology training (i.e., whole-word mapping) and assembled-phonology training conditions (i.e., grapheme-to-phoneme mapping). Results Behavioral results showed that the more lexical pathways participants preferred, the better they performed on newly-acquired addressed characters relative to assembled characters. More importantly, neuroimaging results showed that participants who preferred lexical pathway in phonological access show less involvement of brain regions for addressed phonology (e.g., the bilateral orbitofrontal cortex and right pars triangularis) in the processing of newly-acquired addressed characters. Conclusion These results indicated that phonological access via the preferred pathway required less neural resources to achieve better behavioral performance. These above results provide direct neuroimaging evidence for the influence of reading pathway preference on phonological learning.
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Affiliation(s)
- Jie Dong
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,School of Psychology, South China Normal University, Guangzhou, China,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Qingxin Yue
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,School of Psychology, South China Normal University, Guangzhou, China,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Aqian Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,School of Psychology, South China Normal University, Guangzhou, China,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Lala Gu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,School of Psychology, South China Normal University, Guangzhou, China,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xinqi Su
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,School of Psychology, South China Normal University, Guangzhou, China,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Qi Chen
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China,*Correspondence: Leilei Mei,
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Associations between Brain Microstructure and Phonological Processing Ability in Preschool Children. CHILDREN 2022; 9:children9060782. [PMID: 35740719 PMCID: PMC9221994 DOI: 10.3390/children9060782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 11/17/2022]
Abstract
Neuroimaging studies have associated brain changes in children with future reading and language skills, but few studies have investigated the association between language skills and white matter structure in preschool-aged children. Using 208 data sets acquired in 73 healthy children aged 2–7 years, we investigated the relationship between developmental brain microstructure and phonological processing ability as measured using their phonological processing raw score (PPRS). The correlation analysis showed that across the whole age group, with increasing age, PPRS increased, fractional anisotropy (FA) of the internal capsule and inferior fronto-occipital fasciculus and some other regions increased, and mean diffusivity (MD) of the corpus callosum and internal capsule and some other regions decreased. The results of the mediation analysis suggest that increased FA may be the basis of phonological processing ability development during this period, and the increased number of fiber connections between the right inferior parietal lobule and right supramarginal gyrus may be a key imaging feature of phonological processing ability development. Our study reflects the changes in brain microstructure and contributes to understanding the underlying neural mechanisms of language development in preschool children.
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Li A, Yang R, Qu J, Dong J, Gu L, Mei L. Neural representation of phonological information during Chinese character reading. Hum Brain Mapp 2022; 43:4013-4029. [PMID: 35545935 PMCID: PMC9374885 DOI: 10.1002/hbm.25900] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 04/04/2022] [Accepted: 04/26/2022] [Indexed: 11/12/2022] Open
Abstract
Previous studies have revealed that phonological processing of Chinese characters elicited activation in the left prefrontal cortex, bilateral parietal cortex, and occipitotemporal regions. However, it is controversial what role the left middle frontal gyrus plays in Chinese character reading, and whether the core regions (e.g., the left superior temporal gyrus and supramarginal gyrus) for phonological processing of alphabetic languages are also involved in Chinese character reading. To address these questions, the present study used both univariate and multivariate analysis (i.e., representational similarity analysis, RSA) to explore neural representations of phonological information during Chinese character reading. Participants were scanned while performing a reading aloud task. Univariate activation analysis revealed a widely distributed network for word reading, including the bilateral inferior frontal gyrus, middle frontal gyrus, lateral temporal cortex, and occipitotemporal cortex. More importantly, RSA showed that the left prefrontal (i.e., the left middle frontal gyrus and left inferior frontal gyrus) and bilateral occipitotemporal areas (i.e., the left inferior and middle temporal gyrus and bilateral fusiform gyrus) represented phonological information of Chinese characters. These results confirmed the importance of the left middle frontal gyrus and regions in ventral pathway in representing phonological information of Chinese characters.
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Affiliation(s)
- Aqian Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Rui Yang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jing Qu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jie Dong
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Lala Gu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou, China
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10
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Qu J, Pang Y, Liu X, Cao Y, Huang C, Mei L. Task modulates the orthographic and phonological representations in the bilateral ventral Occipitotemporal cortex. Brain Imaging Behav 2022; 16:1695-1707. [PMID: 35247162 DOI: 10.1007/s11682-022-00641-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2022] [Indexed: 11/25/2022]
Abstract
As a key area in word reading, the left ventral occipitotemporal cortex is proposed for abstract orthographic processing, and its middle part has even been labeled as the visual word form area. Because the definition of the VWFA largely varies and the reading task differs across studies, the function of the left ventral occipitotemporal cortex in word reading is continuingly debated on whether this region is specific for orthographic processing or be involved in an interactive framework. By using representational similarity analysis (RSA), this study examined information representation in the VWFA at the individual level and the modulatory effect of reading task. Twenty-four subjects were scanned while performing the explicit (i.e., the naming task) and implicit (i.e., the perceptual task) reading tasks. Activation analysis showed that the naming task elicited greater activation in regions related to phonological processing (e.g., the bilateral prefrontal cortex and temporoparietal cortex), while the perceptual task recruited greater activation in visual cortex and default mode network (e.g., the bilateral middle frontal gyrus, angular gyrus, and the right middle temporal gyrus). More importantly, RSA also showed that task modulated information representation in the bilateral anterior occipitotemporal cortex and VWFA. Specifically, ROI-based RSA revealed enhanced orthographic and phonological representations in the bilateral anterior fusiform cortex and VWFA in the naming task relative to the perceptual task. These results suggest that lexical representation in the VWFA is influenced by the demand of phonological processing, which supports the interactive account of the VWFA.
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Affiliation(s)
- Jing Qu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Yingdan Pang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Xiaoyu Liu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Ying Cao
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Chengmei Huang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.
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11
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Nichols ES, Gao Y, Fregni S, Liu L, Joanisse MF. Individual differences in representational similarity of first and second languages in the bilingual brain. Hum Brain Mapp 2021; 42:5433-5445. [PMID: 34469016 PMCID: PMC8519873 DOI: 10.1002/hbm.25633] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/22/2021] [Accepted: 08/06/2021] [Indexed: 01/15/2023] Open
Abstract
Current theories of bilingualism disagree on the extent to which separate brain regions are used to maintain or process one's first and second language. The present study took a novel multivariate approach to address this question. We examined whether bilinguals maintain distinct neural representations of two languages; specifically, we tested whether brain areas that are involved in processing word meaning in either language are reliably representing each language differently, and whether language representation is influenced by individual differences in proficiency level and age of acquisition (AoA) of L2. Thirty‐one English–Mandarin bilingual adults performed a picture–word matching task in both languages. We then used representational similarity analysis to examine which brain regions reliably showed different patterns of activity for each language. We found that both proficiency and AoA predicted dissimilarity between language representations in several brain areas within the language network as well as several regions of the ventral visual pathway, demonstrating that top‐down language knowledge and individual language experience shapes concept representation in this processing stream. The results support the model of an integrated language system in bilinguals, along with a novel description of how representations for each language change with proficiency level and L2 AoA.
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Affiliation(s)
- Emily S Nichols
- Department of Applied Psychology, Faculty of Education, The University of Western Ontario, London, Canada.,Brain and Mind Institute, The University of Western Ontario, London, Canada
| | - Yue Gao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Sofia Fregni
- Faculty of Psychology, Dresden University of Technology, Dresden, Germany
| | - Li Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Marc F Joanisse
- Brain and Mind Institute, The University of Western Ontario, London, Canada.,Department of Psychology, The University of Western Ontario, London, Canada
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12
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Qu J, Hu L, Liu X, Dong J, Yang R, Mei L. The contributions of the left hippocampus and bilateral inferior parietal lobule to form-meaning associative learning. Psychophysiology 2021; 58:e13834. [PMID: 33949705 DOI: 10.1111/psyp.13834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 04/13/2021] [Accepted: 04/13/2021] [Indexed: 11/26/2022]
Abstract
Existing studies have identified crucial roles for the hippocampus and a distributed set of cortical regions (e.g., the inferior parietal cortex) in learning novel words. Nevertheless, researchers have not clearly determined how the hippocampus and cortical regions dynamically interact during novel word learning, especially during form-meaning associative learning. As a method to address this question, we used an online learning paradigm and representational similarity analysis to explore the contributions of the hippocampus and neocortex to form-meaning associative learning. Twenty-nine native Chinese college students were recruited to learn 30 form-meaning pairs, which were repeated 7 times during fMRI scan. Form-meaning associative learning elicited activations in a wide neural network including regions required for word processing (i.e., the bilateral inferior frontal gyrus and the occipitotemporal cortex), regions required for encoding (i.e., the bilateral parahippocampus and hippocampus), and regions required for cognitive control (i.e., the anterior cingulate cortex and dorsolateral prefrontal cortex). More importantly, our study revealed the differential roles of the left hippocampus and bilateral inferior parietal lobule (IPL) in form-meaning associative learning. Specifically, higher pattern similarity in the bilateral IPL in the early learning phase (repetitions 1 to 3) was related to better learning performance, while higher pattern similarity in the left hippocampus in the late learning phase (repetitions 5 to 7) was associated with better learning performance. These findings indicate that the hippocampus and cortical regions (e.g., the IPL) contribute to form-meaning learning in different stages.
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Affiliation(s)
- Jing Qu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Liyuan Hu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xiaoyu Liu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jie Dong
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Rui Yang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Leilei Mei
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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13
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Ferreira RA, Vinson D, Dijkstra T, Vigliocco G. Word learning in two languages: Neural overlap and representational differences. Neuropsychologia 2020; 150:107703. [PMID: 33307100 DOI: 10.1016/j.neuropsychologia.2020.107703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 11/25/2020] [Accepted: 11/30/2020] [Indexed: 11/30/2022]
Abstract
We investigated the neural basis of newly learned words in Spanish as a mother tongue (L1) and English as a second language (L2). Participants acquired new names for real but unfamiliar concepts in both languages over the course of two days. On day 3, they completed a semantic categorization task during fMRI scanning. The results revealed largely overlapping brain regions for newly learned words in Spanish and English. However, Spanish showed a heightened BOLD response within prefrontal cortex (PFC), due to increased competition of existing lexical representations. In contrast, English displayed higher activity than Spanish within primary auditory cortex, which suggests increased phonological processing due to more irregular phonological-orthographic mappings. Overall, these results suggest that novel words are learned similarly in Spanish L1 and English L2, and that they are represented in largely overlapping brain regions. However, they differ in terms of cognitive control and phonological processes.
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Affiliation(s)
- Roberto A Ferreira
- Facultad de Educación, Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - David Vinson
- Department of Experimental Psychology, University College London, London, United Kingdom
| | - Ton Dijkstra
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Gabriella Vigliocco
- Department of Experimental Psychology, University College London, London, United Kingdom
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14
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Liu C, Jiao L, Li Z, Timmer K, Wang R. Language control network adapts to second language learning: A longitudinal rs-fMRI study. Neuropsychologia 2020; 150:107688. [PMID: 33212139 DOI: 10.1016/j.neuropsychologia.2020.107688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 08/20/2020] [Accepted: 11/10/2020] [Indexed: 12/31/2022]
Abstract
The current longitudinal resting-state functional magnetic resonance imaging study examined changes in language control network after one year of L2 English classroom learning. A group of Chinese college freshmen majoring in English underwent two scans, one before (i.e., Session 1) and one after (i.e., Session 2) the one-year L2 courses. Learners' language control abilities were assessed via a behavioral language switching task. Our graph theory and functional connectivity analyses revealed that with increased exposure to the L2, nodal betweenness in language control areas, such as the dorsal anterior cingulate cortex (dACC), decreased and connectivity between dACC and pre-supplementary motor area (pre-SMA) increased. Critically, these neural changes were correlated with participants' behavioral performance on the language switching task. Taken together, these findings suggest that the language control network in resting brain could be modulated by long-term L2 learning in a naturalistic classroom setting, and that the dACC/pre-SMA complex appears to play a critical role in language control.
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Affiliation(s)
- Cong Liu
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, Qingdao, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, & Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Lu Jiao
- Department of Psychology, Normal College & School of Teacher Education, Qingdao University, Qingdao, China
| | - Zilong Li
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, & Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Kalinka Timmer
- Psychology of Language and Bilingualism Lab, Institute of Psychology, Jagiellonian University, Kraków, Poland
| | - Ruiming Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, & Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China.
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15
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Dong J, Li A, Chen C, Qu J, Jiang N, Sun Y, Hu L, Mei L. Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages. Hum Brain Mapp 2020; 42:893-907. [PMID: 33112483 PMCID: PMC7856648 DOI: 10.1002/hbm.25266] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 10/17/2020] [Accepted: 10/19/2020] [Indexed: 11/11/2022] Open
Abstract
How native and non-native languages are represented in the brain is one of the most important questions in neurolinguistics. Much research has found that the similarity in neural activity of native and non-native languages are influenced by factors such as age of acquisition, language proficiency, and language exposure in the non-native language. Nevertheless, it is still unclear how the similarity between native and non-native languages in orthographic transparency, a key factor that affects the cognitive and neural mechanisms of phonological access, modulates the cross-language similarity in neural activation and which brain regions show the modulatory effects of language distance in orthographic transparency. To address these questions, the present study used representational similarity analysis (RSA) to precisely estimate the neural pattern similarity between native language and two non-native languages in Uyghur-Chinese-English trilinguals, whose third language (i.e., English) was more similar to the native language (i.e., Uyghur) in orthography than to their second language (i.e., Chinese). Behavioral results revealed that subjects responded faster to words in the non-native language with more similar orthography to their native language in the word naming task. More importantly, RSA revealed greater neural pattern similarity between Uyghur and English than between Uyghur and Chinese in select brain areas for phonological processing, especially in the left hemisphere. Further analysis confirmed that those brain regions represented phonological information. These results provide direct neuroimaging evidence for the modulatory effect of language distance in orthographic transparency on cross-language pattern similarity between native and non-native languages during word reading.
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Affiliation(s)
- Jie Dong
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Aqian Li
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Chuansheng Chen
- Department of Psychological Science, University of California, Irvine, California, USA
| | - Jing Qu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Nan Jiang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Yue Sun
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Liyuan Hu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Leilei Mei
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.,Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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16
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Kim SY, Liu L, Liu L, Cao F. Neural representational similarity between L1 and L2 in spoken and written language processing. Hum Brain Mapp 2020; 41:4935-4951. [PMID: 32820847 PMCID: PMC7643388 DOI: 10.1002/hbm.25171] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 07/10/2020] [Accepted: 07/18/2020] [Indexed: 11/11/2022] Open
Abstract
Despite substantial research on the brain mechanisms of L1 and L2 processing in bilinguals, it is still unknown whether language modality (i.e., visual vs. auditory) plays a role in determining whether L1 and L2 are processed similarly. Therefore, we examined the neural representational similarity in neural networks between L1 and L2 in spoken and written word processing in Korean-English-Chinese trilinguals. Participants performed both visual and auditory rhyming judgments in the three languages: Korean, English, and Chinese. The results showed greater similarity among the three languages in the auditory modality than in the visual modality, suggesting more differentiated networks for written word processing in the three languages than spoken word processing. In addition, there was less similarity between spoken and written word processing in L1 than the L2s, suggesting a more specialized network for each modality in L1 than L2s. Finally, the similarity between the two L2s (i.e., Chinese and English) was greater than that between each L2 and L1 after task performance was regressed out, especially in the visual modality, suggesting that L2s are processed similarly. These findings provide important insights about spoken and written language processing in the bilingual brain.
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Affiliation(s)
- Say Young Kim
- Department of English Language and Literature, Hanyang University, Seoul, Korea.,Hanyang Institute for Phonetics and Cognitive Sciences of Language, Hanyang University, Seoul, Korea
| | - Lanfang Liu
- Department of Psychology, Sun Yat-Sen University, Guangzhou, China.,State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Li Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Fan Cao
- Department of Psychology, Sun Yat-Sen University, Guangzhou, China
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17
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Mathur A, Schultz D, Wang Y. Neural Bases of Phonological and Semantic Processing in Early Childhood. Brain Connect 2020; 10:212-223. [PMID: 32308014 PMCID: PMC7718846 DOI: 10.1089/brain.2019.0728] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
During the early period of reading development, children gain phonological (letter-to-sound mapping) and semantic knowledge (storage and retrieval of word meaning). Their reading ability changes rapidly, accompanied by learning-induced brain plasticity as they learn to read. This study aims at identifying the neural bases of phonological and semantic processing in early childhood by using a combination of univariate and multivariate pattern analysis. Nineteen typically developing children between the age of five and seven performed visual word-level phonological (rhyming) and semantic (related meaning) judgment tasks during functional magnetic resonance imaging scans. Our multivariate analysis showed that young children with good reading ability have already recruited the left hemispheric regions in the brain for phonological processing, including the inferior frontal gyrus (IFG), superior and middle temporal gyrus, and fusiform gyrus. In addition, our multivariate results suggested that different sub-regions of the left IFG were recruited for the two tasks. Our results suggested the left lateralization of frontotemporal regions for phonological processing and semantic processing. In addition, we observed bilateral activations of parietal regions for semantic processing during early childhood. Our findings indicate that the neural bases of reading have already begun to be shaped in early childhood for typically developing children, which can be used as a control baseline for comparison of children at risk for reading difficulties.
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Affiliation(s)
- Avantika Mathur
- Neuroimaging for Language, Literacy and Learning Lab, Department of Special Education and Communication Disorders, Youth, Families and Schools, University of Nebraska—Lincoln, and Lincoln, Nebraska, USA
| | - Douglas Schultz
- Center for Brain, Biology and Behavior, Youth, Families and Schools, University of Nebraska—Lincoln, and Lincoln, Nebraska, USA
| | - Yingying Wang
- Neuroimaging for Language, Literacy and Learning Lab, Department of Special Education and Communication Disorders, Youth, Families and Schools, University of Nebraska—Lincoln, and Lincoln, Nebraska, USA
- Center for Brain, Biology and Behavior, Youth, Families and Schools, University of Nebraska—Lincoln, and Lincoln, Nebraska, USA
- Center for Research on Children, Youth, Families and Schools, University of Nebraska—Lincoln, and Lincoln, Nebraska, USA
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18
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Ou J, Li W, Yang Y, Wang N, Xu M. Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages. BRAIN AND LANGUAGE 2020; 203:104740. [PMID: 31982650 DOI: 10.1016/j.bandl.2019.104740] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 11/01/2019] [Accepted: 12/20/2019] [Indexed: 06/10/2023]
Abstract
It is controversial as to how age of acquisition (AoA) and proficiency level of the second language influence the similarities and differences between the first (L1) and the second (L2) language brain networks. In this functional MRI study, we used representational similarity analysis to quantify the degree of neural similarity between L1 and L2 during sentence comprehension tasks in 26 adult Chinese-English bilinguals, who learned English as L2 at different ages and had different proficiency levels. We found that although L1 and L2 processing activated similar brain regions, greater neural pattern dissimilarity between L1 and L2 was associated with earlier AoA in the left inferior and middle frontal gyri after the effect of proficiency level was controlled. On the other hand, the association between proficiency level and the neural pattern dissimilarity between L1 and L2 was not significant when the effect of AoA was partialled out. The results suggest that the activity pattern of L2 is more distinct from that of L1 in bilingual individuals who acquired L2 earlier and that the contribution of AoA to the neural pattern dissimilarity is greater than that of proficiency level.
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Affiliation(s)
- Jian Ou
- Center for Brain Disorders and Cognitive Science, Shenzhen University, Shenzhen 518060, China; School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518060, China; Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen 518057, China
| | - Wenlong Li
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518060, China; Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen 518057, China
| | - Yang Yang
- Center for Brain Science and Learning Difficulties, Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Nizhuan Wang
- Artificial Intelligence and Neuro-informatics Engineering (ARINE) Laboratory, School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222002, China
| | - Min Xu
- Center for Brain Disorders and Cognitive Science, Shenzhen University, Shenzhen 518060, China; Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen 518057, China.
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19
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Gurunandan K, Carreiras M, Paz-Alonso PM. Functional plasticity associated with language learning in adults. Neuroimage 2019; 201:116040. [PMID: 31336190 DOI: 10.1016/j.neuroimage.2019.116040] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 07/15/2019] [Accepted: 07/19/2019] [Indexed: 01/25/2023] Open
Abstract
Learning a new language in adulthood is increasingly common and among the most difficult tasks attempted by adults. Adult language learners thus offer an excellent window into the nature of learning-dependent plasticity. The present functional magnetic resonance imaging (fMRI) study was aimed at characterising functional neuroplasticity in adults at different stages of learning a second language (L2). To this end, a total of 34 adults, either intermediate or advanced L2 learners, underwent MRI scanning while performing a semantic judgement task with print and speech stimuli. Three separate analytical approaches were used to comprehensively map neural differences: print-speech convergence, L1-L2 similarity, and functional connectivity with language control regions. Results revealed that (i) print-speech convergence was not affected by L2 proficiency level, (ii) L1-L2 similarity was significantly higher in intermediate than in advanced L2 learners, and (iii) functional coupling of language and language control areas was higher in the advanced relative to the intermediate group during reading comprehension. The results point to significant functional differences between intermediate and advanced language learners, indicating that, even well into adulthood, increasing L2 proficiency modulates the functional similarity between L1 and L2 and the connectivity between language comprehension and language control regions, particularly in reading comprehension.
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Affiliation(s)
- Kshipra Gurunandan
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, Spain.
| | - Manuel Carreiras
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain; Department of Basque Language and Communication, EHU/UPV, Bilbao, Spain
| | - Pedro M Paz-Alonso
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, Spain.
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20
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Cross-Language Pattern Similarity in the Bilateral Fusiform Cortex Is Associated with Reading Proficiency in Second Language. Neuroscience 2019; 410:254-263. [DOI: 10.1016/j.neuroscience.2019.05.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 05/03/2019] [Accepted: 05/08/2019] [Indexed: 11/20/2022]
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21
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Li H, Qu J, Chen C, Chen Y, Xue G, Zhang L, Lu C, Mei L. Lexical learning in a new language leads to neural pattern similarity with word reading in native language. Hum Brain Mapp 2018; 40:98-109. [PMID: 30136328 DOI: 10.1002/hbm.24357] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 07/24/2018] [Accepted: 08/03/2018] [Indexed: 01/08/2023] Open
Abstract
Previous neuroimaging studies have suggested similar neural activations for word reading in native and second languages. However, such similarities were qualitatively determined (i.e., overlapping activation based on traditional univariate activation analysis). In this study, using representational similarity analysis and an artificial language training paradigm, we quantitatively computed cross-language neural pattern similarity to examine the modulatory effect of proficiency in the new language. Twenty-four native Chinese speakers were trained to learn 30 words in a logographic artificial language for 12 days and scanned while performing a semantic decision task after 4-day training and after 12-day training. Results showed that higher proficiency in the new language was associated with higher cross-language pattern similarity in select regions of the reading network.
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Affiliation(s)
- Huiling Li
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
| | - Jing Qu
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
| | - Chuansheng Chen
- Department of Psychological Science, University of California, Irvine, California
| | - Yanjun Chen
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
| | - Gui Xue
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Lei Zhang
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
| | - Chengrou Lu
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
| | - Leilei Mei
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, and School of Psychology, South China Normal University, Guangzhou, China
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