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Perron M, Vuong V, Grassi MW, Imran A, Alain C. Engagement of the speech motor system in challenging speech perception: Activation likelihood estimation meta-analyses. Hum Brain Mapp 2024; 45:e70023. [PMID: 39268584 PMCID: PMC11393483 DOI: 10.1002/hbm.70023] [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] [Received: 05/08/2024] [Revised: 08/20/2024] [Accepted: 08/29/2024] [Indexed: 09/17/2024] Open
Abstract
The relationship between speech production and perception is a topic of ongoing debate. Some argue that there is little interaction between the two, while others claim they share representations and processes. One perspective suggests increased recruitment of the speech motor system in demanding listening situations to facilitate perception. However, uncertainties persist regarding the specific regions involved and the listening conditions influencing its engagement. This study used activation likelihood estimation in coordinate-based meta-analyses to investigate the neural overlap between speech production and three speech perception conditions: speech-in-noise, spectrally degraded speech and linguistically complex speech. Neural overlap was observed in the left frontal, insular and temporal regions. Key nodes included the left frontal operculum (FOC), left posterior lateral part of the inferior frontal gyrus (IFG), left planum temporale (PT), and left pre-supplementary motor area (pre-SMA). The left IFG activation was consistently observed during linguistic processing, suggesting sensitivity to the linguistic content of speech. In comparison, the left pre-SMA activation was observed when processing degraded and noisy signals, indicating sensitivity to signal quality. Activations of the left PT and FOC activation were noted in all conditions, with the posterior FOC area overlapping in all conditions. Our meta-analysis reveals context-independent (FOC, PT) and context-dependent (pre-SMA, posterior lateral IFG) regions within the speech motor system during challenging speech perception. These regions could contribute to sensorimotor integration and executive cognitive control for perception and production.
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Affiliation(s)
- Maxime Perron
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Veronica Vuong
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada
- Institute of Medical Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada
| | - Madison W Grassi
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada
| | - Ashna Imran
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada
| | - Claude Alain
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada
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Robles Aguirre FA, Marrufo-Meléndez ÓR, Carrillo Mezo R, Torres Agustín R, Nuñez Soria M, Arias-Trejo N, Lara Galindo WF, Silva-Pereyra J, Rodríguez-Camacho MA. Neural correlates of semantic matching in indirect priming. COGN SYST RES 2023. [DOI: 10.1016/j.cogsys.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Xu X, Yu H, Gao X, Shen B, Feng W, Zhou X. Understanding an implicated causality: The brain network for processing concessive relations. BRAIN AND LANGUAGE 2022; 234:105177. [PMID: 36084367 DOI: 10.1016/j.bandl.2022.105177] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 08/01/2022] [Accepted: 08/24/2022] [Indexed: 06/15/2023]
Abstract
Concessive relations, often indicated by conjunction words such as although, are semantically and pragmatically more complex than causal relations (expressed using because), as they involve more semantic features such as implicated meaning and negation. However, it remains unclear how linguistic-level complexity is manifested through different brain activities and functional connectivities. This fMRI study investigated how the neural underpinnings of concessive relations differ from those of causal relations. Pragmatically congruent and incongruent words were embedded in causal as well as concessive sentences. The whole-brain analysis revealed that relative to because-congruent sentences, although-congruent sentences evoked increased activations in a left network including IFG, bilateral MFG, mPFC, pMTG, and TPJ. DCM analysis showed that while the functional connectivity from IFG to MFG was commonly involved in processing concessive and causal relations, functional connectivities from pMTG to IFG and from pMTG to TPJ were involved in processing causal and concessive relations, respectively.
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Affiliation(s)
- Xiaodong Xu
- School of Foreign Languages and Cultures, Nanjing Normal University, Nanjing 210097, China
| | - Hongbo Yu
- Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106-9660, USA
| | - Xiaoxue Gao
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Bo Shen
- Department of Psychology, Zhejiang Normal University, Jinhua 321004, China
| | - Wangshu Feng
- Artificial Intelligence and Human Languages Lab, Beijing Foreign Studies University, Beijing 100089, China
| | - Xiaolin Zhou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Department of Psychology, Zhejiang Normal University, Jinhua 321004, China; Beijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China; Institute of Linguistics, Shanghai International Studies University, Shanghai 200083, China.
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Li X, Wu K, Zhang Y, Kong L, Bertisch H, DeLisi LE. Altered topological characteristics of morphological brain network relate to language impairment in high genetic risk subjects and schizophrenia patients. Schizophr Res 2019; 208:338-343. [PMID: 30700398 DOI: 10.1016/j.schres.2019.01.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 01/16/2019] [Accepted: 01/19/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Evidence suggests relationships between abnormalities in various cortical and subcortical brain structures and language dysfunction in individuals with schizophrenia, and to some extent in those with increased genetic risk for this diagnosis. The topological features of the structural brain network at the systems-level and their impact on language function in schizophrenia and in those at high genetic risk has been less well studied. METHOD Single-subject morphological brain network was constructed in a total of 71 subjects (20 patients with schizophrenia, 19 individuals at high genetic risk for schizophrenia, and 32 controls). Among these 71 subjects, 56 were involved in our previous neuroimaging studies. Graphic Theoretical Techniques was applied to calculate the global and nodal topological characteristics of the morphological brain network of each participant. Index scores for five language-related cognitive tests were also attained from each participant. RESULTS Significantly smaller nodal degree in bilateral superior occipital gyri (SOG) were observed in individuals with schizophrenia, as compared to the controls and those at high risk; while significantly reduced nodal betweenness centrality (quantifying the level of a node in connecting other nodes in the network) in right middle frontal gyrus (MFG) was found in the high-risk group, relative to controls. The right MFG nodal efficiency and hub capacity (represented by both nodal degree and betweenness centrality) of the morphological brain network were negatively associated with the wide range achievement test (WRAT) standard performance score; while the right SOG nodal degree was positively associated with the WRAT standard performance score, in the entire study sample. CONCLUSIONS These findings enhance the understanding of structural brain abnormalities at the systems-level in individuals with schizophrenia and those at high genetic risk, which may serve as critical neural substrates for the origin of the language-related impairments and symptom manifestations of schizophrenia.
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Affiliation(s)
- Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
| | - Kai Wu
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.
| | - Yue Zhang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | - Lingyin Kong
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | | | - Lynn E DeLisi
- VA Boston Healthcare System, Harvard Medical School, Brockton, MA, USA
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Alemi R, Batouli SAH, Behzad E, Ebrahimpoor M, Oghabian MA. Not single brain areas but a network is involved in language: Applications in presurgical planning. Clin Neurol Neurosurg 2018; 165:116-128. [PMID: 29334640 DOI: 10.1016/j.clineuro.2018.01.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 01/03/2018] [Accepted: 01/08/2018] [Indexed: 01/22/2023]
Abstract
OBJECTIVES Language is an important human function, and is a determinant of the quality of life. In conditions such as brain lesions, disruption of the language function may occur, and lesion resection is a solution for that. Presurgical planning to determine the language-related brain areas would enhance the chances of language preservation after the operation; however, availability of a normative language template is essential. PATIENTS AND METHODS In this study, using data from 60 young individuals who were meticulously checked for mental and physical health, and using fMRI and robust imaging and data analysis methods, functional brain maps for the language production, perception and semantic were produced. RESULTS The obtained templates showed that the language function should be considered as the product of the collaboration of a network of brain regions, instead of considering only few brain areas to be involved in that. CONCLUSION This study has important clinical applications, and extends our knowledge on the neuroanatomy of the language function.
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Affiliation(s)
- Razieh Alemi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran; Department of Otorhinolaryngology, Faculty of Medicine, McGill University, Canada
| | - Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran; Neuroimaging and Analysis Group, Tehran University of Medical Sciences, Tehran, Iran
| | - Ebrahim Behzad
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mitra Ebrahimpoor
- Neuroimaging and Analysis Group, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Tehran University of Medical Sciences, Tehran, Iran; Medical Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran.
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Li Y, Li P, Yang QX, Eslinger PJ, Sica CT, Karunanayaka P. Lexical-Semantic Search Under Different Covert Verbal Fluency Tasks: An fMRI Study. Front Behav Neurosci 2017; 11:131. [PMID: 28848407 PMCID: PMC5550713 DOI: 10.3389/fnbeh.2017.00131] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Accepted: 06/30/2017] [Indexed: 11/13/2022] Open
Abstract
Background: Verbal fluency is a measure of cognitive flexibility and word search strategies that is widely used to characterize impaired cognitive function. Despite the wealth of research on identifying and characterizing distinct aspects of verbal fluency, the anatomic and functional substrates of retrieval-related search and post-retrieval control processes still have not been fully elucidated. Methods: Twenty-one native English-speaking, healthy, right-handed, adult volunteers (mean age = 31 years; range = 21-45 years; 9 F) took part in a block-design functional Magnetic Resonance Imaging (fMRI) study of free recall, covert word generation tasks when guided by phonemic (P), semantic-category (C), and context-based fill-in-the-blank sentence completion (S) cues. General linear model (GLM), Independent Component Analysis (ICA), and psychophysiological interaction (PPI) were used to further characterize the neural substrate of verbal fluency as a function of retrieval cue type. Results: Common localized activations across P, C, and S tasks occurred in the bilateral superior and left inferior frontal gyrus, left anterior cingulate cortex, bilateral supplementary motor area (SMA), and left insula. Differential task activations were centered in the occipital, temporal and parietal regions as well as the thalamus and cerebellum. The context-based fluency task, i.e., the S task, elicited higher differential brain activity in a lateralized frontal-temporal network typically engaged in complex language processing. P and C tasks elicited activation in limited pathways mainly within the left frontal regions. ICA and PPI results of the S task suggested that brain regions distributed across both hemispheres, extending beyond classical language areas, are recruited for lexical-semantic access and retrieval during sentence completion. Conclusion: Study results support the hypothesis of overlapping, as well as distinct, neural networks for covert word generation when guided by different linguistic cues. The increased demand on word retrieval is met by the concurrent recruitment of classical as well as non-classical language-related brain regions forming a large cognitive neural network. The retrieval-related search and post-retrieval control processes that subserve verbal fluency, therefore, reverberates across distinct functional networks as determined by respective task demands.
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Affiliation(s)
- Yunqing Li
- Department of Radiology, Pennsylvania State University College of MedicineHershey, PA, United States
| | - Ping Li
- Department of Psychology and Center for Brain, Behavior, and Cognition, Pennsylvania State UniversityUniversity Park, PA, United States
| | - Qing X Yang
- Department of Radiology, Pennsylvania State University College of MedicineHershey, PA, United States.,Department of Neurosurgery, Pennsylvania State University College of MedicineHershey, PA, United States
| | - Paul J Eslinger
- Department of Radiology, Pennsylvania State University College of MedicineHershey, PA, United States.,Department of Neurology, Pennsylvania State University College of MedicineHershey, PA, United States.,Department of Neural and Behavioral Sciences, Pennsylvania State University College of MedicineHershey, PA, United States
| | - Chris T Sica
- Department of Radiology, Pennsylvania State University College of MedicineHershey, PA, United States
| | - Prasanna Karunanayaka
- Department of Radiology, Pennsylvania State University College of MedicineHershey, PA, United States
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Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study. Neural Comput Appl 2017. [DOI: 10.1007/s00521-017-2955-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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