1
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Jia L, Jin H, Jin X. Neural mechanisms of the continued influence effect of misinformation: Analysis based on fMRI causal connectivity. Neurosci Lett 2024; 836:137861. [PMID: 38849102 DOI: 10.1016/j.neulet.2024.137861] [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: 01/10/2024] [Revised: 04/21/2024] [Accepted: 06/04/2024] [Indexed: 06/09/2024]
Abstract
The continued influence effect of misinformation (CIEM) can negatively affect individuals' reasoning and judgment processes. This research aims to enhance the correction of misinformation and foster rational judgement by investigating the internal brain mechanisms involved in the processing of the CIEM through the use of task-based functional magnetic resonance imaging combined with Granger causality analysis. Our findings demonstrate notable effective interactions in varying directions between the left inferior frontal gyrus and middle temporal gyrus during the encoding phase, and between the right anterior cingulate gyrus and left inferior occipital gyrus in the retrieval phase. These insights elucidate the roles of mental model updating and retrieval failure in the processing of CIEM, offering more granular evidence to support the differentiation in processing phases.
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Affiliation(s)
- Lina Jia
- Department of Psychology at College of Law, Tianjin University of Commerce, Tianjin, China.
| | - Hua Jin
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Xiaokang Jin
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
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2
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Yu S, Gu C, Huang K, Li P. Predicting the next sentence (not word) in large language models: What model-brain alignment tells us about discourse comprehension. SCIENCE ADVANCES 2024; 10:eadn7744. [PMID: 38781343 PMCID: PMC11114233 DOI: 10.1126/sciadv.adn7744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024]
Abstract
Current large language models (LLMs) rely on word prediction as their backbone pretraining task. Although word prediction is an important mechanism underlying language processing, human language comprehension occurs at multiple levels, involving the integration of words and sentences to achieve a full understanding of discourse. This study models language comprehension by using the next sentence prediction (NSP) task to investigate mechanisms of discourse-level comprehension. We show that NSP pretraining enhanced a model's alignment with brain data especially in the right hemisphere and in the multiple demand network, highlighting the contributions of nonclassical language regions to high-level language understanding. Our results also suggest that NSP can enable the model to better capture human comprehension performance and to better encode contextual information. Our study demonstrates that the inclusion of diverse learning objectives in a model leads to more human-like representations, and investigating the neurocognitive plausibility of pretraining tasks in LLMs can shed light on outstanding questions in language neuroscience.
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Affiliation(s)
- Shaoyun Yu
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Chanyuan Gu
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Kexin Huang
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ping Li
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Centre for Immersive Learning and Metaverse in Education, The Hong Kong Polytechnic University, Hong Kong SAR, China
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3
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Fernandino L, Binder JR. How does the "default mode" network contribute to semantic cognition? BRAIN AND LANGUAGE 2024; 252:105405. [PMID: 38579461 PMCID: PMC11135161 DOI: 10.1016/j.bandl.2024.105405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 02/26/2024] [Accepted: 03/23/2024] [Indexed: 04/07/2024]
Abstract
This review examines whether and how the "default mode" network (DMN) contributes to semantic processing. We review evidence implicating the DMN in the processing of individual word meanings and in sentence- and discourse-level semantics. Next, we argue that the areas comprising the DMN contribute to semantic processing by coordinating and integrating the simultaneous activity of local neuronal ensembles across multiple unimodal and multimodal cortical regions, creating a transient, global neuronal ensemble. The resulting ensemble implements an integrated simulation of phenomenological experience - that is, an embodied situation model - constructed from various modalities of experiential memory traces. These situation models, we argue, are necessary not only for semantic processing but also for aspects of cognition that are not traditionally considered semantic. Although many aspects of this proposal remain provisional, we believe it provides new insights into the relationships between semantic and non-semantic cognition and into the functions of the DMN.
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Affiliation(s)
- Leonardo Fernandino
- Department of Neurology, Medical College of Wisconsin, USA; Department of Biomedical Engineering, Medical College of Wisconsin, USA.
| | - Jeffrey R Binder
- Department of Neurology, Medical College of Wisconsin, USA; Department of Biophysics, Medical College of Wisconsin, USA
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4
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Goldstein A, Grinstein-Dabush A, Schain M, Wang H, Hong Z, Aubrey B, Nastase SA, Zada Z, Ham E, Feder A, Gazula H, Buchnik E, Doyle W, Devore S, Dugan P, Reichart R, Friedman D, Brenner M, Hassidim A, Devinsky O, Flinker A, Hasson U. Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns. Nat Commun 2024; 15:2768. [PMID: 38553456 PMCID: PMC10980748 DOI: 10.1038/s41467-024-46631-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 03/04/2024] [Indexed: 04/02/2024] Open
Abstract
Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics. We hypothesize that language areas in the human brain, similar to DLMs, rely on a continuous embedding space to represent language. To test this hypothesis, we densely record the neural activity patterns in the inferior frontal gyrus (IFG) of three participants using dense intracranial arrays while they listened to a 30-minute podcast. From these fine-grained spatiotemporal neural recordings, we derive a continuous vectorial representation for each word (i.e., a brain embedding) in each patient. Using stringent zero-shot mapping we demonstrate that brain embeddings in the IFG and the DLM contextual embedding space have common geometric patterns. The common geometric patterns allow us to predict the brain embedding in IFG of a given left-out word based solely on its geometrical relationship to other non-overlapping words in the podcast. Furthermore, we show that contextual embeddings capture the geometry of IFG embeddings better than static word embeddings. The continuous brain embedding space exposes a vector-based neural code for natural language processing in the human brain.
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Affiliation(s)
- Ariel Goldstein
- Business School, Data Science department and Cognitive Department, Hebrew University, Jerusalem, Israel.
- Google Research, Tel Aviv, Israel.
| | | | | | - Haocheng Wang
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zhuoqiao Hong
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Bobbi Aubrey
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
- New York University Grossman School of Medicine, New York, NY, USA
| | - Samuel A Nastase
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zaid Zada
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Eric Ham
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | | | - Harshvardhan Gazula
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | | | - Werner Doyle
- New York University Grossman School of Medicine, New York, NY, USA
| | - Sasha Devore
- New York University Grossman School of Medicine, New York, NY, USA
| | - Patricia Dugan
- New York University Grossman School of Medicine, New York, NY, USA
| | - Roi Reichart
- Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel
| | - Daniel Friedman
- New York University Grossman School of Medicine, New York, NY, USA
| | - Michael Brenner
- Google Research, Tel Aviv, Israel
- School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA
| | | | - Orrin Devinsky
- New York University Grossman School of Medicine, New York, NY, USA
| | - Adeen Flinker
- New York University Grossman School of Medicine, New York, NY, USA
- New York University Tandon School of Engineering, Brooklyn, NY, USA
| | - Uri Hasson
- Google Research, Tel Aviv, Israel
- Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, NJ, USA
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5
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Dudley MZ, Squires GK, Petroske TM, Dawson S, Brewer J. The Use of Narrative in Science and Health Communication: A Scoping Review. PATIENT EDUCATION AND COUNSELING 2023; 112:107752. [PMID: 37068426 DOI: 10.1016/j.pec.2023.107752] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 04/08/2023] [Accepted: 04/11/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Many people deny science and reject health recommendations despite widely distributed facts and statistics. Didactic science and health communication is often dry, and relies on the false assumption that people make purely evidence-based decisions. Stories can be a powerful teaching tool by capturing attention and evoking emotion. OBJECTIVE We explore the impact and appeal of, and describe best practices for, using narrative (storytelling) versus didactic methods in science and health communication. PATIENT INVOLVEMENT No patients were involved in the review process. METHODS We searched PubMed and Web of Science for articles either: assessing effectiveness of narrative science/health communication; assessing acceptability of (or preference for) narrative science/health communication; giving advice on how best to use narrative; and/or providing science-based explanations for how/why narrative succeeds. RESULTS Narrative science/health communication is effective and appealing for audiences across a variety of topics and mediums, with supporting evidence across fields such as epidemiology, neuroscience, and psychology. Whether narrative or didactic messaging is most effective depends on the topic, audience, and objective, as well as message quality. However, combining narrative with didactic methods is likely to be more effective than using either strategy alone. DISCUSSION Narrative science/health communication merits wider implementation and further research. Narrative communication creates openness to information by delaying the formulation of counterarguments. PRACTICAL VALUE Science and health communicators should collaborate with cultural and storytelling experts, work directly with their target audiences throughout the message development and testing processes, and rely on popular story elements (e.g., first-person point of view, relatable protagonists) to improve the comprehension, engagement, and thoughtful consideration of their intended audience. FUNDING This work was funded by Thirty Meter Telescope, with which two authors (GKS and SD) were affiliated. Otherwise, the funding organization had no role in the study and/or submission.
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Affiliation(s)
- Matthew Z Dudley
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, w5041, Baltimore, MD 21205, USA; Institute for Vaccine Safety, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, w5041, Baltimore, MD 21205, USA.
| | - Gordon K Squires
- California Institute of Technology / IPAC, 1200 E California Blvd, 315 Keith Spalding, Pasadena, CA 91125, USA
| | | | - Sandra Dawson
- Thirty Meter Telescope International Observatory, Pasadena, CA, USA
| | - Janesse Brewer
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, w5041, Baltimore, MD 21205, USA; Institute for Vaccine Safety, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, w5041, Baltimore, MD 21205, USA
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6
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Feng Y, Liang Y, Zhang Y, Duan X, Zhang J, Yan H. Divergent interpersonal neural synchronization patterns in the first, second language and interlingual communication. Sci Rep 2023; 13:8706. [PMID: 37248270 DOI: 10.1038/s41598-023-35923-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/25/2023] [Indexed: 05/31/2023] Open
Abstract
An accumulating number of studies have highlighted the importance of interpersonal neural synchronization (INS) between interlocutors in successful verbal communications. The opportunities for communication across different language contexts are rapidly expanding, thanks to the frequent interactions among people all over the world. However, whether the INS changes in different language contexts and how language choice affects the INS remain scarcely explored. The study recruited twenty pairs of participants to communicate in the first language (L1), second language (L2) and interlingual contexts. Using functional near-infrared spectroscopy (fNIRS), we examined the neural activities of interlocutors and analyzed their wavelet transform coherence to assess the INS of dyads. Results showed that as compared to the resting state, stronger INS was observed at the left inferior temporal gyrus, middle temporal gyrus, pre-motor and supplementary motor cortex, dorsolateral prefrontal cortex, and inferior frontal gyrus in L1; at the left middle temporal gyrus, superior temporal gyrus, and inferior frontal gyrus in L2; at the left inferior temporal gyrus and inferior frontal gyrus in interlingual context. Additionally, INS at the left inferior frontal gyrus was significantly stronger in L2 than in L1. These findings reveal the differences of the INS in different language contexts and confirm the importance of language choice for the INS changes.
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Affiliation(s)
- Yanqin Feng
- School of Foreign Languages, Xidian University, Xi'an, China
| | - Yuan Liang
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Yi Zhang
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Xu Duan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Jie Zhang
- Department of Radiation Medicine, Air Force Military Medical University, Xi'an, China.
| | - Hao Yan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China.
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7
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Yang X, Lin N, Wang L. Situation updating during discourse comprehension recruits right posterior portion of the multiple-demand network. Hum Brain Mapp 2023; 44:2129-2141. [PMID: 36602295 PMCID: PMC10028651 DOI: 10.1002/hbm.26198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 12/01/2022] [Accepted: 12/17/2022] [Indexed: 01/06/2023] Open
Abstract
Discourse comprehension involves the construction of a mental representation of the situation model as well as a continuous update of this representation. This mental update is cognitively demanding and likely engages the multiple-demand network. However, there is little evidence for the involvement of the multiple-demand network during situation updating. In this study, we used fMRI to test whether situation updating based on the change of spatial location activated the multiple-demand network. In a discourse comprehension task, readers read two-sentence discourses in which the second sentence either continues or introduces a shift of the spatial location information presented in the first sentence. Compared to situation continuation, situation updating reliably activated the right superior parietal lobule. This area is a part of the multiple-demand network as defined by a digit N-back localizer task and locates within the dorsal attention network as defined in the previous study by Yeo et al. in 2011. Our results provide evidence for the reliable involvement of a specific area of the multiple-demand network in situation updating during high-level discourse processing.
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Affiliation(s)
- XiaoHong Yang
- Department of Psychology, Renmin University of China, Beijing, China
| | - Nan Lin
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lin Wang
- Department of Psychology, Tufts University, Medford, Massachusetts, USA
- Department of Psychiatry and the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA
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8
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Sugimoto H, Abe MS, Otake-Matsuura M. Word-producing brain: Contribution of the left anterior middle temporal gyrus to word production patterns in spoken language. BRAIN AND LANGUAGE 2023; 238:105233. [PMID: 36842390 DOI: 10.1016/j.bandl.2023.105233] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/27/2022] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Vocabulary is based on semantic knowledge. The anterior temporal lobe (ATL) has been considered an essential region for processing semantic knowledge; nonetheless, the association between word production patterns and the structural and functional characteristics of the ATL remains unclear. To examine this, we analyzed over one million words from group conversations among community-dwelling older adults and their multimodal magnetic resonance imaging data. A quantitative index for the word production patterns, namely the exponent β of Heaps' law, positively correlated with the left anterior middle temporal gyrus volume. Moreover, β negatively correlated with its resting-state functional connectivity with the precuneus. There was no significant correlation with the diffusion tensor imaging metrics in any fiber. These findings suggest that the vocabulary richness in spoken language depends on the brain status characterized by the semantic knowledge-related brain structure and its activation dissimilarity with the precuneus, a core region of the default mode network.
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Affiliation(s)
- Hikaru Sugimoto
- RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
| | - Masato S Abe
- RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan; Faculty of Culture and Information Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi, Kyoto-fu 610-0394, Japan.
| | - Mihoko Otake-Matsuura
- RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
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9
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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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10
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Falque A, Jordanis M, Landré L, Loureiro de Sousa P, Mondino M, Furcieri E, Blanc F. Neural basis of impaired narrative discourse comprehension in prodromal and mild dementia with lewy bodies. Front Aging Neurosci 2022; 14:939973. [PMID: 36185488 PMCID: PMC9520572 DOI: 10.3389/fnagi.2022.939973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Narrative discourse (ND) comprehension is a complex task that implies not only linguistic abilities but also other cognitive abilities, including efficient executive functioning. An executive dysfunction has been described in dementia with Lewy bodies (DLB) from the early stage. Here, we question the link between executive dysfunction in DLB and narrative comprehension. The aim of our study was to evaluate ND comprehension and to investigate the neuroanatomical basis for its impairment in the early stage of DLB. DLB patients (N = 26) and controls (N = 19) underwent the ND comprehension test of the Montreal Protocol for Evaluation of Communication (MEC). An additional, qualitative analysis was conducted on their verbal productions. Cognitive tests assessing verbal episodic memory, executive functions, naming and oral syntactic comprehension were also performed. Brain gray matter correlates of the ND comprehension test were examined using voxel-based morphometry (VBM). An ND comprehension impairment was found for prodromal and mild DLB patients as compared to controls. These difficulties were correlated with the Frontal Assessment Battery (FAB) score. ND comprehension impairment in DLB was further characterized by a deficit in the organization and the logic of the discourse. Moreover, VBM analysis revealed a correlation between striatal gray matter volumes and DLB patients’ ability to extract and organize relevant information (p < 0.05, FDR correction, cluster level). The ND comprehension impairment in DLB patients could be related to their executive dysfunction through a deficit of information selection and organization that correlates with the volumetric reduction of striatal gray matter.
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Affiliation(s)
- Anaïs Falque
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
- Geriatrics Department, CM2R (Memory Resource and Research Centre), University Hospitals of Strasbourg, Strasbourg, France
| | - Mélanie Jordanis
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
- Geriatrics Department, CM2R (Memory Resource and Research Centre), University Hospitals of Strasbourg, Strasbourg, France
- *Correspondence: Mélanie Jordanis,
| | - Lionel Landré
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
- Lionel Landré,
| | - Paulo Loureiro de Sousa
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
| | - Mary Mondino
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
| | - Emmanuelle Furcieri
- Geriatrics Department, CM2R (Memory Resource and Research Centre), University Hospitals of Strasbourg, Strasbourg, France
| | - Frédéric Blanc
- ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, Université de Strasbourg, Strasbourg, France
- Geriatrics Department, CM2R (Memory Resource and Research Centre), University Hospitals of Strasbourg, Strasbourg, France
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11
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Fan L, Li C, Huang ZG, Zhao J, Wu X, Liu T, Li Y, Wang J. The longitudinal neural dynamics changes of whole brain connectome during natural recovery from poststroke aphasia. NEUROIMAGE: CLINICAL 2022; 36:103190. [PMID: 36174256 PMCID: PMC9668607 DOI: 10.1016/j.nicl.2022.103190] [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: 02/25/2022] [Revised: 07/24/2022] [Accepted: 09/08/2022] [Indexed: 12/14/2022] Open
Abstract
Poststroke aphasia is one of the most dramatic functional deficits that results from direct damage of focal brain regions and dysfunction of large-scale brain networks. The reconstruction of language function depends on the hierarchical whole-brain dynamic reorganization. However, investigations into the longitudinal neural changes of large-scale brain networks for poststroke aphasia remain scarce. Here we characterize large-scale brain dynamics in left-frontal-stroke aphasia through energy landscape analysis. Using fMRI during an auditory comprehension task, we find that aphasia patients suffer serious whole-brain dynamics perturbation in the acute and subacute stages after stroke, in which the brains were restricted into two major activity patterns. Following spontaneous recovery process, the brain flexibility improved in the chronic stage. Critically, we demonstrated that the abnormal neural dynamics are correlated with the aberrant brain network coordination. Taken together, the energy landscape analysis exhibited that the acute poststroke aphasia has a constrained, low dimensional brain dynamics, which were replaced by less constrained and high dimensional dynamics at chronic aphasia. Our study provides a new perspective to profoundly understand the pathological mechanisms of poststroke aphasia.
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Affiliation(s)
- Liming Fan
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China
| | - Chenxi Li
- Department of the Psychology of Military Medicine, Air Force Medical University, Xi’an, Shaanxi 710032, PR China
| | - Zi-gang Huang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China
| | - Jie Zhao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China
| | - Xiaofeng Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China
| | - Tian Liu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China
| | - Youjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China,Corresponding authors at: The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, PR China.
| | - Jue Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, PR China,National Engineering Research Center of Health Care and Medical Devices. Guangzhou, Guangdong 510500, PR China,The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi’an, Shaanxi 710049, PR China,Corresponding authors at: The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, PR China.
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12
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Acunzo DJ, Low DM, Fairhall SL. Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus. Neuroimage 2022; 251:119005. [PMID: 35176493 PMCID: PMC10184870 DOI: 10.1016/j.neuroimage.2022.119005] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 11/17/2022] Open
Abstract
When reading a sentence, individual words can be combined to create more complex meaning. In this study, we sought to uncover brain regions that reflect the representation of the meaning of sentences at the topic level, as opposed to the meaning of their individual constituent words when considered irrespective of their context. Using fMRI, we recorded the neural activity of participants while reading sentences. We constructed a topic-level sentence representations using the final layer of a convolutional neural network (CNN) trained to classify Wikipedia sentences into broad semantic categories. This model was contrasted with word-level sentence representations constructed using the average of the word embeddings constituting the sentence. Using representational similarity analysis, we found that the medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus more strongly represent sentence topic-level, compared to word-level, meaning, uncovering the important role of these semantic system regions in the representation of topic-level meaning. Results were comparable when sentence meaning was modelled with a multilayer perceptron that was not sensitive to word order within a sentence, suggesting that the learning objective, in the terms of the topic being modelled, is the critical factor in capturing these neural representational spaces.
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Affiliation(s)
- David J Acunzo
- CIMeC/University of Trento, Corso Bettini 31, Rovereto 38068, Italy
| | - Daniel M Low
- Program in Speech and Hearing Bioscience and Technology, Harvard Medical School, United States; Brain and Cognitive Sciences Department, MIT, United States
| | - Scott L Fairhall
- CIMeC/University of Trento, Corso Bettini 31, Rovereto 38068, Italy.
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13
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Zhang M, Bernhardt BC, Wang X, Varga D, Krieger-Redwood K, Royer J, Rodríguez-Cruces R, Vos de Wael R, Margulies DS, Smallwood J, Jefferies E. Perceptual coupling and decoupling of the default mode network during mind-wandering and reading. eLife 2022; 11:74011. [PMID: 35311643 PMCID: PMC8937216 DOI: 10.7554/elife.74011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 02/12/2022] [Indexed: 11/24/2022] Open
Abstract
While reading, our mind can wander to unrelated autobiographical information, creating a perceptually decoupled state detrimental to narrative comprehension. To understand how this mind-wandering state emerges, we asked whether retrieving autobiographical content necessitates functional disengagement from visual input. In Experiment 1, brain activity was recorded using functional magnetic resonance imaging (fMRI) in an experimental situation mimicking naturally occurring mind-wandering, allowing us to precisely delineate neural regions involved in memory and reading. Individuals read expository texts and ignored personally relevant autobiographical memories, as well as the opposite situation. Medial regions of the default mode network (DMN) were recruited during memory retrieval. In contrast, left temporal and lateral prefrontal regions of the DMN, as well as ventral visual cortex, were recruited when reading for comprehension. Experiment two used functional connectivity both at rest and during tasks to establish that (i) DMN regions linked to memory are more functionally decoupled from regions of ventral visual cortex than regions in the same network engaged when reading; and (ii) individuals with more self-generated mental contents and poorer comprehension, while reading in the lab, showed more decoupling between visually connected DMN sites important for reading and primary visual cortex. A similar pattern of connectivity was found in Experiment 1, with greater coupling between this DMN site and visual cortex when participants reported greater focus on reading in the face of conflict from autobiographical memory cues; moreover, the retrieval of personally relevant memories increased the decoupling of these sites. These converging data suggest we lose track of the narrative when our minds wander because generating autobiographical mental content relies on cortical regions within the DMN which are functionally decoupled from ventral visual regions engaged during reading. As your eyes scan these words, you may be thinking about what to make for dinner, how to address an unexpected hurdle at work, or how many emails are sitting, unread, in your inbox. This type of mind-wandering disrupts our focus and limits how much information we comprehend, whilst also being conducive to creative thinking and problem-solving. Despite being an everyday occurrence, exactly how our mind wanders remains elusive. One possible explanation is that the brain disengages from visual information from the external world and turns its attention inwards. A greater understanding of which neural circuits are involved in this process could reveal insights about focus, attention, and reading comprehension. Here, Zhang et al. investigated whether the brain becomes disengaged from visual input when our mind wanders while reading. Recalling personal events was used as a proxy for mind-wandering. Brain activity was recorded as participants were shown written statements; sometimes these were preceded by cues to personal memories. People were asked to focus on reading the statements or they were instructed to concentrate on their memories while ignoring the text. The analyses showed that recalling memories and reading stimulated distinct parts of the brain, which were in direct competition during mind-wandering. Further work examined how these regions were functionally connected. In individuals who remained focused on reading despite memory cues, the areas activated by reading showed strong links to the visual cortex. Conversely, these reading-related areas became ‘decoupled’ from visual processing centres in people who were focusing more on their internal thoughts. These results shed light on why we lose track of what we are reading when our mind wanders: recalling personal memories activates certain brain areas which are functionally decoupled from the regions involved in processing external information – such as the words on a page. In summary, the work by Zhang et al. builds a mechanistic understanding of mind-wandering, a natural feature of our daily brain activity. These insights may help to inform future interventions in education to improve reading, comprehension and focus.
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Affiliation(s)
- Meichao Zhang
- Department of Psychology, University of York, York, United Kingdom
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Xiuyi Wang
- Department of Psychology, University of York, York, United Kingdom
| | - Dominika Varga
- Department of Psychology, University of York, York, United Kingdom
| | | | - Jessica Royer
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Raúl Rodríguez-Cruces
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Reinder Vos de Wael
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Daniel S Margulies
- Integrative Neuroscience and Cognition Centre (UMR 8002), Centre National de la Recherche Scientifique (CNRS) and Université de Paris, Paris, France
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14
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Ma X, Tao Y, Yang Y. Factors inducing complexities in musical embedded structure processing. Neuropsychologia 2022; 169:108153. [PMID: 35114217 DOI: 10.1016/j.neuropsychologia.2022.108153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 12/31/2021] [Accepted: 01/06/2022] [Indexed: 10/19/2022]
Abstract
The organizational structure of music is similar to that found in language, involving a large number of complicated hierarchical and embedded structures. The factors inducing complexities and difficulties in embedded structure processing are important subjects of inquiry in areas of cognitive neuroscience, such as music and language domains. Enlightened by relevant linguistic theories, this study investigated the influence of dependency lengthening and structural shift on musical embedded sequences processing. Results showed that final chords in sequences with long dependence elicited larger ERAN and N5 under near-key shift conditions, while elicited larger ERAN and LPC under far-key shift conditions, when compared to the sequences with short dependence; Further, the final chords in sequences with far-key shift elicited larger N5 under short dependence conditions, while elicited larger LPC under long dependence conditions when compared to the sequences with near-key shift. These results indicate that both dependency lengthening and structure shift could be the factors inducing complexities and difficulties in the processing of musical embedded structures, and there might be some common mechanisms underlying the processing of center-embedded structure across music and language domains.
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Affiliation(s)
- Xie Ma
- Faculty of Education, Yunnan Normal University, Kunming, China; Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China
| | - Yun Tao
- Faculty of Education, Yunnan Normal University, Kunming, China; Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China
| | - Yufang Yang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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15
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JIN H, JIA L, YIN X, YAN S, WEI S, CHEN J. The neural basis of the continued influence effect of misinformation. ACTA PSYCHOLOGICA SINICA 2022. [DOI: 10.3724/sp.j.1041.2022.00343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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16
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Zhang G, Xu Y, Zhang M, Wang S, Lin N. The brain network in support of social semantic accumulation. Soc Cogn Affect Neurosci 2021; 16:393-405. [PMID: 33433627 PMCID: PMC7990071 DOI: 10.1093/scan/nsab003] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/07/2020] [Accepted: 01/11/2021] [Indexed: 11/14/2022] Open
Abstract
Some studies have indicated that a specific 'social semantic network' represents the social meanings of words. However, studies of the comprehension of complex materials, such as sentences and narratives, have indicated that the same network supports the online accumulation of connected semantic information. In this study, we examined the hypothesis that this network does not simply represent the social meanings of words but also accumulates connected social meanings from texts. We defined the social semantic network by conducting a meta-analysis of previous studies on social semantic processing and then examined the effects of social semantic accumulation using a functional Magnetic Resonance Imaging (fMRI) experiment. Two important findings were obtained. First, the social semantic network showed a stronger social semantic effect in sentence and narrative reading than in word list reading, indicating the amplitude of social semantic activation can be accumulated in the network. Second, the activation of the social semantic network in sentence and narrative reading can be better explained by the holistic social-semantic-richness rating scores of the stimuli than by those of the constitutive words, indicating the social semantic contents can be integrated in the network. These two findings convergently indicate that the social semantic network supports the accumulation of connected social meanings.
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Affiliation(s)
- Guangyao Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yangwen Xu
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento 38123, Italy.,International School for Advanced Studies (SISSA), Trieste 34136, Italy
| | - Meimei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
| | - Shaonan Wang
- National Laboratory of Pattern Recognition, CASIA, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Nan Lin
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
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17
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Feng W, Wang W, Liu J, Wang Z, Tian L, Fan L. Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study. Front Hum Neurosci 2021; 15:666179. [PMID: 34248525 PMCID: PMC8261065 DOI: 10.3389/fnhum.2021.666179] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/21/2021] [Indexed: 11/13/2022] Open
Abstract
In discourse comprehension, we need to draw inferences to make sense of discourse. Previous neuroimaging studies have investigated the neural correlates of causal inferences in discourse understanding. However, these findings have been divergent, and how these types of inferences are related to causal inferences in logical problem-solving remains unclear. Using the activation likelihood estimation (ALE) approach, the current meta-analysis analyzed 19 experiments on causal inferences in discourse understanding and 20 experiments on those in logical problem-solving to identify the neural correlates of these two cognitive processes and their shared and distinct neural correlates. We found that causal inferences in discourse comprehension recruited a left-lateralized frontotemporal brain system, including the left inferior frontal gyrus, the left middle temporal gyrus (MTG), and the bilateral medial prefrontal cortex (MPFC), while causal inferences in logical problem-solving engaged a nonoverlapping brain system in the frontal and parietal cortex, including the left inferior frontal gyrus, the bilateral middle frontal gyri, the dorsal MPFC, and the left inferior parietal lobule (IPL). Furthermore, the pattern similarity analyses showed that causal inferences in discourse understanding were primarily related to the terms about language processing and theory-of-mind processing. Both types of inferences were found to be related to the terms about memory and executive function. These findings suggest that causal inferences in discourse understanding recruit distinct neural bases from those in logical problem-solving and rely more on semantic knowledge and social interaction experiences.
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Affiliation(s)
- Wangshu Feng
- Research Institute of Foreign Languages, Beijing Foreign Studies University, Beijing, China
| | - Weijuan Wang
- Research Institute of Foreign Languages, Beijing Foreign Studies University, Beijing, China
| | - Jia Liu
- Research Institute of Foreign Languages, Beijing Foreign Studies University, Beijing, China
| | - Zhen Wang
- Research Institute of Foreign Languages, Beijing Foreign Studies University, Beijing, China
| | - Lingyun Tian
- National Research Centre for Foreign Language Education, Beijing Foreign Studies University, Beijing, China
| | - Lin Fan
- Artificial Intelligence and Human Languages Lab, Beijing Foreign Studies University, Beijing, China
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18
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Hertrich I, Dietrich S, Blum C, Ackermann H. The Role of the Dorsolateral Prefrontal Cortex for Speech and Language Processing. Front Hum Neurosci 2021; 15:645209. [PMID: 34079444 PMCID: PMC8165195 DOI: 10.3389/fnhum.2021.645209] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/06/2021] [Indexed: 11/24/2022] Open
Abstract
This review article summarizes various functions of the dorsolateral prefrontal cortex (DLPFC) that are related to language processing. To this end, its connectivity with the left-dominant perisylvian language network was considered, as well as its interaction with other functional networks that, directly or indirectly, contribute to language processing. Language-related functions of the DLPFC comprise various aspects of pragmatic processing such as discourse management, integration of prosody, interpretation of nonliteral meanings, inference making, ambiguity resolution, and error repair. Neurophysiologically, the DLPFC seems to be a key region for implementing functional connectivity between the language network and other functional networks, including cortico-cortical as well as subcortical circuits. Considering clinical aspects, damage to the DLPFC causes psychiatric communication deficits rather than typical aphasic language syndromes. Although the number of well-controlled studies on DLPFC language functions is still limited, the DLPFC might be an important target region for the treatment of pragmatic language disorders.
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Affiliation(s)
- Ingo Hertrich
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Susanne Dietrich
- Evolutionary Cognition, Department of Psychology, University of Tübingen, Tübingen, Germany
| | - Corinna Blum
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Hermann Ackermann
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
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19
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Yang G, Bozek J, Han M, Gao J. Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults. Hum Brain Mapp 2020; 41:2495-2513. [PMID: 32141680 PMCID: PMC7267952 DOI: 10.1002/hbm.24960] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/29/2020] [Accepted: 02/11/2020] [Indexed: 12/17/2022] Open
Abstract
Cortical surface templates are an important standardized coordinate frame for cortical structure and function analysis in magnetic resonance (MR) imaging studies. The widely used adult cortical surface templates (e.g., fsaverage, Conte69, and the HCP-MMP atlas) are based on the Caucasian population. Neuroanatomical differences related to environmental and genetic factors between Chinese and Caucasian populations make these templates unideal for analysis of the cortex in the Chinese population. We used a multimodal surface matching algorithm in an iterative procedure to create Chinese (sCN200) and Caucasian (sUS200) cortical surface atlases based on 200 demographically matched high-quality T1- and T2-weighted (T1w and T2w, respectively) MR images from the Chinese Human Connectome Project (CHCP) and the Human Connectome Project (HCP), respectively. Templates for anatomical cortical surfaces (white matter, pial, midthickness) and cortical feature maps of sulcal depth, curvature, thickness, T1w/T2w myelin, and cortical labels were generated. Using independent subsets from the CHCP and the HCP, we quantified the accuracy of cortical registration when using population-matched and mismatched atlases. The performance of the cortical registration and accuracy of curvature alignment when using population-matched atlases was significantly improved, thereby demonstrating the importance of using the sCN200 cortical surface atlas for Chinese adult population studies. Finally, we analyzed female and male cortical differences within the Chinese and Caucasian populations. We identified significant between-sex differences in cortical curvature, sulcal depth, thickness, and T1w/T2w myelin maps in the frontal, temporal, parietal, occipital, and insular lobes as well as the cingulate cortices.
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Affiliation(s)
- Guoyuan Yang
- Beijing City Key Lab for Medical Physics and EngineeringInstitute of Heavy Ion Physics, School of Physics, Peking UniversityBeijingChina
- Center for MRI Research, Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina
- McGovern Institute for Brain Research, Peking UniversityBeijingChina
| | - Jelena Bozek
- Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia
| | - Meizhen Han
- Beijing City Key Lab for Medical Physics and EngineeringInstitute of Heavy Ion Physics, School of Physics, Peking UniversityBeijingChina
- Center for MRI Research, Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina
- McGovern Institute for Brain Research, Peking UniversityBeijingChina
| | - Jia‐Hong Gao
- Beijing City Key Lab for Medical Physics and EngineeringInstitute of Heavy Ion Physics, School of Physics, Peking UniversityBeijingChina
- Center for MRI Research, Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina
- McGovern Institute for Brain Research, Peking UniversityBeijingChina
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