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Liu CY, Qin L, Tao R, Deng W, Jiang T, Wang N, Matthews S, Siok WT. Delineating Region-Specific contributions and connectivity patterns for semantic association and categorization through ROI and Granger causality analysis. BRAIN AND LANGUAGE 2024; 258:105476. [PMID: 39357106 DOI: 10.1016/j.bandl.2024.105476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 08/09/2024] [Accepted: 09/23/2024] [Indexed: 10/04/2024]
Abstract
The neural mechanisms supporting semantic association and categorization are examined in this study. Semantic association involves linking concepts through shared themes, events, or scenes, while semantic categorization organizes meanings hierarchically based on defining features. Twenty-three adults participated in an fMRI study performing categorization and association judgment tasks. Results showed stronger activation in the inferior frontal gyrus during association and marginally weaker activation in the posterior middle temporal gyrus (pMTG) during categorization. Granger causality analysis revealed bottom-up connectivity from the visual cortex to the hippocampus during semantic association, whereas semantic categorization exhibited strong reciprocal connections between the pMTG and frontal semantic control regions, together with information flow from the visual association area and hippocampus to the pars triangularis. We propose that demands on semantic retrieval, precision of semantic representation, perceptual experiences and world knowledge result in observable differences between these two semantic relations.
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Affiliation(s)
- Chun Yin Liu
- Department of Medical Biophysics, University of Western Ontario, Canada
| | - Lang Qin
- School of Chinese as a Second Language, Peking University, Beijing 100871, PR China
| | - Ran Tao
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR 999077, PR China; Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR 999077, PR China
| | - Wenxiyuan Deng
- Department of Linguistics, The University of Hong Kong, Hong Kong SAR 999077, PR China
| | - Tian Jiang
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR 999077, PR China
| | - Nizhuan Wang
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR 999077, PR China
| | - Stephen Matthews
- Department of Linguistics, The University of Hong Kong, Hong Kong SAR 999077, PR China
| | - Wai Ting Siok
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong SAR 999077, PR China.
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2
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Riccardi N, Schwen Blackett D, Broadhead A, den Ouden D, Rorden C, Fridriksson J, Bonilha L, Desai RH. A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke. J Cogn Neurosci 2024; 36:2251-2267. [PMID: 39106171 DOI: 10.1162/jocn_a_02236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2024]
Abstract
Understanding the neurobiology of semantic knowledge is a major goal of cognitive neuroscience. Taxonomic and thematic semantic knowledge are represented differently within the brain's conceptual networks, but the specific neural mechanisms remain unclear. Some neurobiological models propose that the anterior temporal lobe is an important hub for taxonomic knowledge, whereas the TPJ is especially involved in the representation of thematic knowledge. However, recent studies have provided divergent evidence. In this context, we investigated the neural correlates of taxonomic and thematic confrontation naming errors in 79 people with aphasia. We used three complementary lesion-symptom mapping (LSM) methods to investigate how structure and function in both spared and impaired brain regions relate to taxonomic and thematic naming errors. Voxel-based LSM mapped brain damage, activation-based LSM mapped BOLD signal in surviving tissue, and network-based LSM mapped white matter subnetwork integrity to error type. Voxel- and network-based lesion symptom mapping provided converging evidence that damage/disruption of the left mid-to-anterior temporal lobe was associated with a greater proportion of thematic naming errors. Activation-based lesion symptom mapping revealed that higher BOLD signal in the left anterior temporal lobe during an in-house naming task was associated with a greater proportion of taxonomic errors on the Philadelphia Naming Test administered outside of the scanner. A lower BOLD signal in the bilateral angular gyrus, precuneus, and right inferior frontal cortex was associated with a greater proportion of taxonomic errors. These findings provide novel evidence that damage to the anterior temporal lobe is especially related to thematic naming errors.
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3
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Zhai M, Feng C, Qu Q, Fischer-Baum S. The primacy of taxonomic semantic organization over thematic semantic organization during picture naming. Cognition 2024; 254:105951. [PMID: 39276726 DOI: 10.1016/j.cognition.2024.105951] [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: 02/25/2024] [Revised: 08/20/2024] [Accepted: 09/04/2024] [Indexed: 09/17/2024]
Abstract
Different organizational structures have been argued to underlie semantic knowledge about concepts; taxonomic organization, based on shared features, and thematic organization based on co-occurrence in common scenes and scenarios. The goal of the current study is to examine which of the two organizational systems are more engaged in the semantic context of a picture naming task. To address this question, we examined the representational structure underlying the semantic space in different picture naming tasks by applying representational similarity analysis (RSA) to electroencephalography (EEG) datasets. In a series of experiments, EEG signals were collected while participants named pictures under different semantic contexts. Study 1 reanalyzes existing data from semantic contexts directing attention to taxonomic organization and semantic contexts that are not biased towards either taxonomic or thematic organization. In Study 2 we keep the stimuli the same and vary semantic contexts to draw attention to either taxonomic or thematic organization. The RSA approach allows us to examine the pairwise similarity in scalp-recorded amplitude patterns at each time point following the onset of the picture and relate it to theoretical taxonomic and thematic measures derived from computational models of semantics. Across all tasks, the similarity structure of scalp-recorded neural activity correlated better with taxonomic than thematic measures, in time windows associated with semantic processing. Most strikingly, we found that the scalp-recorded patterns of neural activity between taxonomically related items were more similar to each other than the scalp-recorded patterns of neural activity for thematically related or unrelated items, even in tasks that makes thematic information more salient. These results suggest that the principle semantic organization of these concepts during picture naming is taxonomic, at least in the context of picture naming.
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Affiliation(s)
- Mingjun Zhai
- Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, SAR, China
| | - Chen Feng
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qingqing Qu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Simon Fischer-Baum
- Department of Psychological Sciences, Rice University, Houston, TX, USA.
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4
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Wang K, Xie F, Liu C, Wang G, Zhang M, He J, Tan L, Tang H, Xiao B, Wan L, Long L. Chinese Verbal Fluency Deficiency in Temporal Lobe Epilepsy with and without Hippocampal Sclerosis: A Multiscale Study. J Neurosci 2024; 44:e0558242024. [PMID: 39054070 PMCID: PMC11391496 DOI: 10.1523/jneurosci.0558-24.2024] [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: 03/28/2024] [Revised: 06/06/2024] [Accepted: 07/22/2024] [Indexed: 07/27/2024] Open
Abstract
To test a Chinese character version of the phonemic verbal fluency task in patients with temporal lobe epilepsy (TLE) and assess the verbal fluency deficiency pattern in TLE with and without hippocampal sclerosis, a cross-sectional study was conducted including 30 patients with TLE and hippocampal sclerosis (TLE-HS), 28 patients with TLE and without hippocampal sclerosis (TLE-NHS), and 29 demographically matched healthy controls (HC). Both sexes were enrolled. Participants finished a Chinese character verbal fluency (VFC) task during functional MRI. The activation/deactivation maps, functional connectivity, degree centrality, and community features of the left frontal and temporal regions were compared. A neural network classification model was applied to differentiate TLE-HS and TLE-NHS using functional statistics. The VFC scores were correlated with semantic fluency in HC while correlated with phonemic fluency in TLE-NHS. Activation and deactivation deficiency was observed in TLE-HS and TLE-NHS (p < 0.001, k ≥ 10). Functional connectivity, degree centrality, and community features of anterior inferior temporal gyri were impaired in TLE-HS and retained or even enhanced in TLE-NHS (p < 0.05, FDR-corrected). The functional connectivity was correlated with phonemic fluency (p < 0.05, FDR-corrected). The neural network classification reached an area under the curve of 0.90 in diagnosing hippocampal sclerosis. The VFC task is a Chinese phonemic verbal fluency task suitable for clinical application in TLE. During the VFC task, functional connectivity of phonemic circuits was impaired in TLE-HS and was enhanced in TLE-NHS, representing a compensative phonemic searching strategy applied by patients with TLE-NHS.
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Affiliation(s)
- Kangrun Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University Wenzhou, Wenzhou 325000, China
- Clinical Research Center for Epileptic disease of Hunan Province, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Fangfang Xie
- Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chaorong Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Ge Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Min Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jialinzi He
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Langzi Tan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Haiyun Tang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
- Clinical Research Center for Epileptic disease of Hunan Province, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Lily Wan
- Department of Anatomy and Neurobiology, Central South University Xiangya Medical School, Changsha 410008, China
| | - Lili Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China
- Clinical Research Center for Epileptic disease of Hunan Province, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
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Querella P, Attout L, Fias W, Majerus S. From long-term to short-term: Distinct neural networks underlying semantic knowledge and its recruitment in working memory. Neuropsychologia 2024; 202:108949. [PMID: 38971371 DOI: 10.1016/j.neuropsychologia.2024.108949] [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: 10/20/2023] [Revised: 04/30/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
Although numerous studies suggest that working memory (WM) and semantic long-term knowledge interact, the nature and underlying neural mechanisms of this intervention remain poorly understood. Using functional magnetic resonance imaging (fMRI), this study investigated the extent to which neural markers of semantic knowledge in long-term memory (LTM) are activated during the WM maintenance stage in 32 young adults. First, the multivariate neural patterns associated with four semantic categories were determined via an implicit semantic activation task. Next, the participants maintained words - the names of the four semantic categories implicitly activated in the first task - in a verbal WM task. Multi-voxel pattern analyses showed reliable neural decoding of the four semantic categories in the implicit semantic activation and the verbal WM tasks. Critically, however, no between-task classification of semantic categories was observed. Searchlight analyses showed that for the WM task, semantic category information could be decoded in anterior temporal areas associated with abstract semantic category knowledge. In the implicit semantic activation task, semantic category information was decoded in superior temporal, occipital and frontal cortices associated with domain-specific semantic feature representations. These results indicate that item-level semantic activation during verbal WM involves shallow rather than deep semantic information.
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Affiliation(s)
- Pauline Querella
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Belgium.
| | - Lucie Attout
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Belgium; National Fund for Scientific Research, Belgium, Department of Psychology, Psychology and Cognitive Neuroscience Research Unit, University of Liège, Place des Orateurs 1 (B33), 4000, Liège, Belgium
| | - Wim Fias
- Department of Experimental Psychology, Ghent University, Belgium
| | - Steve Majerus
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Belgium; National Fund for Scientific Research, Belgium, Department of Psychology, Psychology and Cognitive Neuroscience Research Unit, University of Liège, Place des Orateurs 1 (B33), 4000, Liège, Belgium
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6
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Reilly J, Shain C, Borghesani V, Kuhnke P, Vigliocco G, Peelle JE, Mahon BZ, Buxbaum LJ, Majid A, Brysbaert M, Borghi AM, De Deyne S, Dove G, Papeo L, Pexman PM, Poeppel D, Lupyan G, Boggio P, Hickok G, Gwilliams L, Fernandino L, Mirman D, Chrysikou EG, Sandberg CW, Crutch SJ, Pylkkänen L, Yee E, Jackson RL, Rodd JM, Bedny M, Connell L, Kiefer M, Kemmerer D, de Zubicaray G, Jefferies E, Lynott D, Siew CSQ, Desai RH, McRae K, Diaz MT, Bolognesi M, Fedorenko E, Kiran S, Montefinese M, Binder JR, Yap MJ, Hartwigsen G, Cantlon J, Bi Y, Hoffman P, Garcea FE, Vinson D. What we mean when we say semantic: Toward a multidisciplinary semantic glossary. Psychon Bull Rev 2024:10.3758/s13423-024-02556-7. [PMID: 39231896 DOI: 10.3758/s13423-024-02556-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2024] [Indexed: 09/06/2024]
Abstract
Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, "concept" has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate semantic theories remain underspecified and/or opaque. Weak construct specificity is among the leading causes of the replication crisis now facing psychology and related fields. Term ambiguity hinders cross-disciplinary communication, falsifiability, and incremental theory-building. Numerous cognitive subdisciplines (e.g., vision, affective neuroscience) have recently addressed these limitations via the development of consensus-based guidelines and definitions. The project to follow represents our effort to produce a multidisciplinary semantic glossary consisting of succinct definitions, background, principled dissenting views, ratings of agreement, and subjective confidence for 17 target constructs (e.g., abstractness, abstraction, concreteness, concept, embodied cognition, event semantics, lexical-semantic, modality, representation, semantic control, semantic feature, simulation, semantic distance, semantic dimension). We discuss potential benefits and pitfalls (e.g., implicit bias, prescriptiveness) of these efforts to specify a common nomenclature that other researchers might index in specifying their own theoretical perspectives (e.g., They said X, but I mean Y).
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Affiliation(s)
| | - Cory Shain
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Philipp Kuhnke
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leipzig University, Leipzig, Germany
| | | | | | | | - Laurel J Buxbaum
- Thomas Jefferson University, Moss Rehabilitation Research Institute, Elkins Park, PA, USA
| | | | | | | | | | - Guy Dove
- University of Louisville, Louisville, KY, USA
| | - Liuba Papeo
- Centre National de La Recherche Scientifique (CNRS), University Claude-Bernard Lyon, Lyon, France
| | | | | | | | - Paulo Boggio
- Universidade Presbiteriana Mackenzie, São Paulo, Brazil
| | | | | | | | | | | | | | | | | | - Eiling Yee
- University of Connecticut, Storrs, CT, USA
| | | | | | | | | | | | | | | | | | | | | | | | - Ken McRae
- Western University, London, ON, Canada
| | | | | | | | | | | | | | - Melvin J Yap
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- National University of Singapore, Singapore, Singapore
| | - Gesa Hartwigsen
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leipzig University, Leipzig, Germany
| | | | - Yanchao Bi
- University of Edinburgh, Edinburgh, UK
- Beijing Normal University, Beijing, China
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Hennessee JP, Lung TC, Park DC, Kennedy KM. Age differences in BOLD modulation to task difficulty as a function of amyloid burden. Cereb Cortex 2024; 34:bhae357. [PMID: 39227310 PMCID: PMC11371418 DOI: 10.1093/cercor/bhae357] [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: 05/14/2024] [Revised: 08/11/2024] [Accepted: 08/15/2024] [Indexed: 09/05/2024] Open
Abstract
Effective cognitive performance often requires the allocation of additional neural resources (i.e. blood-oxygen-level-dependent [BOLD] activation) as task demands increase, and this demand-related modulation is affected by amyloid-beta deposition and normal aging. The present study investigated these complex relationships between amyloid, modulation, and cognitive function (i.e. fluid ability). Participants from the Dallas Lifespan Brain Study (DLBS, n = 252, ages 50-89) completed a semantic judgment task during functional magnetic resonance imaging (fMRI) where the judgments differed in classification difficulty. Amyloid burden was assessed via positron emission tomography (PET) using 18F-florbetapir. A quadratic relationship between amyloid standardized value uptake ratios (SUVRs) and BOLD modulation was observed such that modulation was weaker in those with moderately elevated SUVRs (e.g. just reaching amyloid-positivity), whereas those with very high SUVRs (e.g. SUVR > 1.5) showed strong modulation. Greater modulation was related to better fluid ability, and this relationship was strongest in younger participants and those with lower amyloid burden. These results support the theory that effective demand-related modulation contributes to healthy cognitive aging, especially in the transition from middle age to older adulthood, whereas high modulation may be dysfunctional in those with substantial amyloid deposition.
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Affiliation(s)
- Joseph P Hennessee
- Center for Vital Longevity; Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, 1600 Viceroy Dr., Suite 800, Dallas, TX 75235, United States
| | - Tzu-Chen Lung
- Center for Vital Longevity; Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, 1600 Viceroy Dr., Suite 800, Dallas, TX 75235, United States
| | - Denise C Park
- Center for Vital Longevity; Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, 1600 Viceroy Dr., Suite 800, Dallas, TX 75235, United States
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, United States
| | - Kristen M Kennedy
- Center for Vital Longevity; Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, 1600 Viceroy Dr., Suite 800, Dallas, TX 75235, United States
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Wu W, Hoffman P. Functional integration and segregation during semantic cognition: Evidence across age groups. Cortex 2024; 178:157-173. [PMID: 39013249 DOI: 10.1016/j.cortex.2024.06.015] [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: 11/02/2023] [Revised: 04/05/2024] [Accepted: 06/24/2024] [Indexed: 07/18/2024]
Abstract
Semantic cognition is underpinned by ventral anterior temporal lobe (vATL) which encodes knowledge representations and inferior frontal gyrus (IFG), which controls activation of knowledge based on the needs of the current context. This core semantic network has been validated in substantial empirical findings in the past. However, it remains unclear how these core semantic areas dynamically communicate with each other, and with other neural networks, to achieve successful semantic processing. Here, we investigated this question by testing functional connectivity in the core semantic network during semantic tasks and whether these connections were affected by cognitive ageing. Compared to a non-semantic task, semantic tasks increased the connectivity between left and right IFGs, indicating a bilateral semantic control system. Strengthened connectivity was also found between left IFG and left vATL, and this effect was stronger in the young group. At a whole-brain scale, IFG and vATL increased their coupling with multiple-demand regions during semantic tasks, even though these areas were deactivated relative to non-semantic tasks. This suggests that the domain-general executive network contributes to semantic processing. In contrast, IFG and vATL decreased their interaction with default mode network (DMN) areas during semantic tasks, even though these areas were positively activated by the task. This suggests that DMN areas do not contribute to all semantic tasks: their activation may sometimes reflect automatic retrieval of task-irrelevant memories and associations. Taken together, our study characterizes a dynamic connectivity mechanism supporting semantic cognition within and beyond core semantic regions.
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Affiliation(s)
- Wei Wu
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh, UK; Department of Music, Durham University, Durham, UK.
| | - Paul Hoffman
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh, UK.
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Li M, Wang Z, Yu X, Zhou X. Single-trial interindividual correlation shows semantic and visuospatial networks are fundamental for advanced mathematical learning. Eur J Neurosci 2024; 60:5189-5202. [PMID: 39138595 DOI: 10.1111/ejn.16494] [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: 02/28/2024] [Revised: 07/06/2024] [Accepted: 07/22/2024] [Indexed: 08/15/2024]
Abstract
Mathematical learning and ability are crucial for individual and national economic and technological development, but the neural mechanisms underlying advanced mathematical learning remain unclear. The current study used functional magnetic resonance imaging (fMRI) to investigate how brain networks were involved in advanced mathematical learning and transfer. We recorded fMRI data from 24 undergraduate students as they learned the advanced mathematical concept of a commutative mathematical group. After learning, participants were required to complete learning and transfer behavioural tests. Results of single-trial interindividual brain-behaviour correlation analysis found that brain activity in the semantic and visuospatial networks, and the functional connectivity within the semantic network during advanced mathematical learning were positively correlated with learning and transfer effects. Additionally, the functional connectivity between the semantic and visuospatial networks was negatively correlated with the learning and transfer effects. These findings suggest that advanced mathematical learning relies on both semantic and visuospatial networks.
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Affiliation(s)
- Mengyi Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, China
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Zilong Wang
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, China
- Department of Education, Ocean University of China, Qingdao, Shandong, China
- Information Technology Department, Qingdao Vocational and Technical College of Hotel Management, Qingdao, Shandong, China
| | - Xiaodan Yu
- Department of Education, Ocean University of China, Qingdao, Shandong, China
| | - Xinlin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, China
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Huang L, Hu W, Cui L, Zhang Z, Lu Y, Li Q, Huang Q, Wang L, Jiang J, Guo Q. Temporo-frontoparietal hypoconnectivity as a biomarker for isolated language impairment in mild cognitive impairment: A cross-cohort comparison. Alzheimers Dement 2024. [PMID: 39115942 DOI: 10.1002/alz.14155] [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: 04/18/2024] [Revised: 06/17/2024] [Accepted: 07/02/2024] [Indexed: 08/10/2024]
Abstract
INTRODUCTION Whether brain functional connectivity (FC) is consistently disrupted in individuals with mild cognitive impairment (MCI) with isolated language impairment (ilMCI), and its potential to differentiate between MCI subtypes remains uncertain. METHODS Cross-sectional data from 404 participants in two cohorts (the Chinese Preclinical Alzheimer's Disease Study and the Alzheimer's Disease Neuroimaging Initiative) were analyzed, including neuropsychological tests, resting-state functional magnetic resonance imaging (fMRI), cerebral amyloid positivity, and apolipoprotein E (APOE) status. RESULTS Temporo-frontoparietal FC, particularly between the bilateral superior temporal pole and the left inferior frontal/supramarginal gyri, was consistently decreased in ilMCI compared to amnestic MCI (aMCI) and normal controls, which was correlated with semantic impairment. Using mean temporo-frontoparietal FC as a classifier could improve accuracy in identifying ilMCI subgroups with positive cerebral amyloid deposition and APOE risk alleles. DISCUSSION Temporal-frontoparietal hypoconnectivity was observed in individuals with ilMCI, which may reflect semantic impairment and serve as a valuable biomarker to indicate potential mechanisms of underlying neuropathology. HIGHLIGHTS Temporo-frontoparietal hypoconnectivity was observed in impaired language mild cognitive impairment (ilMCI). Temporo-frontoparietal hypoconnectivity may reflect semantic impairment. Temporo-frontoparietal functional connectivity can classify ilMCI subtypes.
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Affiliation(s)
- Lin Huang
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjing Hu
- Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China
| | - Liang Cui
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhen Zhang
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Lu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qinjie Li
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Huang
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Luyao Wang
- Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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11
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Kotowicz J, Banaszkiewicz A, Dzięgiel-Fivet G, Emmorey K, Marchewka A, Jednoróg K. Neural underpinnings of sentence reading in deaf, native sign language users. BRAIN AND LANGUAGE 2024; 255:105447. [PMID: 39079468 DOI: 10.1016/j.bandl.2024.105447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 05/29/2024] [Accepted: 07/17/2024] [Indexed: 08/11/2024]
Abstract
The goal of this study was to investigate sentence-level reading circuits in deaf native signers, a unique group of deaf people who are immersed in a fully accessible linguistic environment from birth, and hearing readers. Task-based fMRI, functional connectivity and lateralization analyses were conducted. Both groups exhibited overlapping brain activity in the left-hemispheric perisylvian regions in response to a semantic sentence task. We found increased activity in left occipitotemporal and right frontal and temporal regions in deaf readers. Lateralization analyses did not confirm more rightward asymmetry in deaf individuals. Deaf readers exhibited weaker functional connectivity between inferior frontal and middle temporal gyri and enhanced coupling between temporal and insular cortex. In conclusion, despite the shared functional activity within the semantic reading network across both groups, our results suggest greater reliance on cognitive control processes for deaf readers, possibly resulting in greater effort required to perform the task in this group.
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Affiliation(s)
| | - Anna Banaszkiewicz
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
| | - Gabriela Dzięgiel-Fivet
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Karen Emmorey
- Laboratory for Language and Cognitive Neuroscience, San Diego State University, San Diego, USA
| | - Artur Marchewka
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Katarzyna Jednoróg
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
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12
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Wang X, Krieger-Redwood K, Cui Y, Smallwood J, Du Y, Jefferies E. Macroscale brain states support the control of semantic cognition. Commun Biol 2024; 7:926. [PMID: 39090387 PMCID: PMC11294576 DOI: 10.1038/s42003-024-06630-7] [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: 03/29/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024] Open
Abstract
A crucial aim in neuroscience is to understand how the human brain adapts to varying cognitive demands. This study investigates network reconfiguration during controlled semantic retrieval in differing contexts. We analyze brain responses to two semantic tasks of varying difficulty - global association and feature matching judgments - which are contrasted with non-semantic tasks on the cortical surface and within a whole-brain state space. Demanding semantic association tasks elicit activation in anterior prefrontal and temporal regions, while challenging semantic feature matching and non-semantic tasks predominantly activate posterior regions. Task difficulty also modulates activation along different dimensions of functional organization, suggesting different mechanisms of cognitive control. More demanding semantic association judgments engage cognitive control and default mode networks together, while feature matching and non-semantic tasks are skewed towards cognitive control networks. These findings highlight the brain's dynamic ability to tailor its networks to support diverse neurocognitive states, enriching our understanding of controlled cognition.
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Affiliation(s)
- Xiuyi Wang
- CAS 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, 100049, China.
- Department of Psychology, University of York, Heslington, York, YO10 5DD, UK.
| | | | - Yanni Cui
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | | | - Yi Du
- CAS 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, 100049, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China.
| | - Elizabeth Jefferies
- Department of Psychology, University of York, Heslington, York, YO10 5DD, UK.
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13
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Balgova E, Diveica V, Jackson RL, Binney RJ. Overlapping neural correlates underpin theory of mind and semantic cognition: Evidence from a meta-analysis of 344 functional neuroimaging studies. Neuropsychologia 2024; 200:108904. [PMID: 38759780 DOI: 10.1016/j.neuropsychologia.2024.108904] [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: 12/14/2023] [Revised: 03/21/2024] [Accepted: 05/06/2024] [Indexed: 05/19/2024]
Abstract
Key unanswered questions for cognitive neuroscience include whether social cognition is underpinned by specialised brain regions and to what extent it simultaneously depends on more domain-general systems. Until we glean a better understanding of the full set of contributions made by various systems, theories of social cognition will remain fundamentally limited. In the present study, we evaluate a recent proposal that semantic cognition plays a crucial role in supporting social cognition. While previous brain-based investigations have focused on dissociating these two systems, our primary aim was to assess the degree to which the neural correlates are overlapping, particularly within two key regions, the anterior temporal lobe (ATL) and the temporoparietal junction (TPJ). We focus on activation associated with theory of mind (ToM) and adopt a meta-analytic activation likelihood approach to synthesise a large set of functional neuroimaging studies and compare their results with studies of semantic cognition. As a key consideration, we sought to account for methodological differences across the two sets of studies, including the fact that ToM studies tend to use nonverbal stimuli while the semantics literature is dominated by language-based tasks. Overall, we observed consistent overlap between the two sets of brain regions, especially in the ATL and TPJ. This supports the claim that tasks involving ToM draw upon more general semantic retrieval processes. We also identified activation specific to ToM in the right TPJ, bilateral anterior mPFC, and right precuneus. This is consistent with the view that, nested amongst more domain-general systems, there is specialised circuitry that is tuned to social processes.
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Affiliation(s)
- Eva Balgova
- Cognitive Neuroscience Institute, Department of Psychology, Bangor University, Gwynedd, Wales, UK; Department of Psychology, Aberystwyth University, Ceredigion, Wales, UK
| | - Veronica Diveica
- Cognitive Neuroscience Institute, Department of Psychology, Bangor University, Gwynedd, Wales, UK; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Rebecca L Jackson
- Department of Psychology & York Biomedical Research Institute, University of York, Heslington, York, UK
| | - Richard J Binney
- Cognitive Neuroscience Institute, Department of Psychology, Bangor University, Gwynedd, Wales, UK.
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14
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Zioga I, Kenett YN, Giannopoulos A, Luft CDB. The role of alpha oscillations in free- and goal-directed semantic associations. Hum Brain Mapp 2024; 45:e26770. [PMID: 38970217 PMCID: PMC11226545 DOI: 10.1002/hbm.26770] [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: 08/22/2023] [Revised: 05/13/2024] [Accepted: 06/13/2024] [Indexed: 07/08/2024] Open
Abstract
Alpha oscillations are known to play a central role in several higher-order cognitive functions, especially selective attention, working memory, semantic memory, and creative thinking. Nonetheless, we still know very little about the role of alpha in the generation of more remote semantic associations, which is key to creative and semantic cognition. Furthermore, it remains unclear how these oscillations are shaped by the intention to "be creative," which is the case in most creativity tasks. We aimed to address these gaps in two experiments. In Experiment 1, we compared alpha oscillatory activity (using a method which distinguishes genuine oscillatory activity from transient events) during the generation of free associations which were more vs. less distant from a given concept. In Experiment 2, we replicated these findings and also compared alpha oscillatory activity when people were generating free associations versus associations with the instruction to be creative (i.e. goal-directed). We found that alpha was consistently higher during the generation of more distant semantic associations, in both experiments. This effect was widespread, involving areas in both left and right hemispheres. Importantly, the instruction to be creative seems to increase alpha phase synchronisation from left to right temporal brain areas, suggesting that intention to be creative changed the flux of information in the brain, likely reflecting an increase in top-down control of semantic search processes. We conclude that goal-directed generation of remote associations relies on top-down mechanisms compared to when associations are freely generated.
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Affiliation(s)
- Ioanna Zioga
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Yoed N. Kenett
- Faculty of Data and Decision Sciences, Technion—Israel Institute of TechnologyHaifaIsrael
| | - Anastasios Giannopoulos
- School of Electrical and Computer EngineeringNational Technical University of Athens (NTUA) AthensAthensGreece
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15
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Haitas N, Dubuc J, Massé-Leblanc C, Chamberland V, Amiri M, Glatard T, Wilson M, Joanette Y, Steffener J. Registered report: Age-preserved semantic memory and the CRUNCH effect manifested as differential semantic control networks: An fMRI study. PLoS One 2024; 19:e0289384. [PMID: 38917084 PMCID: PMC11198863 DOI: 10.1371/journal.pone.0289384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 03/25/2024] [Indexed: 06/27/2024] Open
Abstract
Semantic memory representations are generally well maintained in aging, whereas semantic control is thought to be more affected. To explain this phenomenon, this study tested the predictions of the Compensation-Related Utilization of Neural Circuits Hypothesis (CRUNCH), focusing on task demands in aging as a possible framework. The CRUNCH effect would manifest itself in semantic tasks through a compensatory increase in neural activation in semantic control network regions but only up to a certain threshold of task demands. This study compares 39 younger (20-35 years old) with 39 older participants (60-75 years old) in a triad-based semantic judgment task performed in an fMRI scanner while manipulating task demand levels (low versus high) through semantic distance. In line with the CRUNCH predictions, differences in neurofunctional activation and behavioral performance (accuracy and response times) were expected in younger versus older participants in the low- versus high-demand conditions, which should be manifested in semantic control Regions of Interest (ROIs). Our older participants had intact behavioral performance, as proposed in the literature for semantic memory tasks (maintained accuracy and slower response times (RTs)). Age-invariant behavioral performance in the older group compared to the younger one is necessary to test the CRUNCH predictions. The older adults were also characterized by high cognitive reserve, as our neuropsychological tests showed. Our behavioral results confirmed that our task successfully manipulated task demands: error rates, RTs and perceived difficulty increased with increasing task demands in both age groups. We did not find an interaction between age group and task demand, or a statistically significant difference in activation between the low- and high-demand conditions for either RTs or accuracy. As for brain activation, we did not find the expected age group by task demand interaction, or a significant main effect of task demand. Overall, our results are compatible with some neural activation in the semantic network and the semantic control network, largely in frontotemporoparietal regions. ROI analyses demonstrated significant effects (but no interactions) of task demand in the left and right inferior frontal gyrus, the left posterior middle temporal gyrus, the posterior inferior temporal gyrus and the prefrontal gyrus. Overall, our test did not confirm the CRUNCH predictions.
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Affiliation(s)
- Niobe Haitas
- Laboratory of Communication and Aging, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
- Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Jade Dubuc
- Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | | | - Vincent Chamberland
- Faculty of Arts and Sciences, Université de Montréal, Montreal, Quebec, Canada
| | - Mahnoush Amiri
- Laboratory of Communication and Aging, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | - Tristan Glatard
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada
| | - Maximiliano Wilson
- Centre de Recherche CERVO – CIUSSS de la Capitale-Nationale et Département de Réadaptation, Université Laval, Quebec City, Quebec, Canada
| | - Yves Joanette
- Laboratory of Communication and Aging, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
- Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Jason Steffener
- Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
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16
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Kato K, Tomiyama H, Murayama K, Mizobe T, Matsuo A, Nishida N, Matukuma K, Kang M, Sashikata K, Kikuchi K, Togao O, Nakao T. Reduced resting-state functional connectivity between insula and inferior frontal gyrus and superior temporal gyrus in hoarding disorder. Front Psychiatry 2024; 15:1399062. [PMID: 38966185 PMCID: PMC11223522 DOI: 10.3389/fpsyt.2024.1399062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 06/03/2024] [Indexed: 07/06/2024] Open
Abstract
Background Hoarding disorder (HD) is characterized by cognitive control impairments and abnormal brain activity in the insula and anterior cingulate cortex (ACC) during disposal of personal items or certain executive function tasks. However, whether there are any changes in resting-state functional connectivity of the insula and ACC remains unclear. Methods A total of 55 subjects, including 24 patients with HD and 31 healthy controls (HCs), participated in the study. We acquired resting-state functional magnetic resonance imaging data and examined group differences in functional connectivity from the insula and ACC in whole-brain voxels. Results In patients with HD, functional connectivity was significantly lower between the right insula and right inferior frontal gyrus (IFG) and left superior temporal gyrus (STG) compared to HCs. There was no correlation between these connectivities and HD symptoms. Conclusions Although the clinical implication is uncertain, our results suggest that patients with HD have resting-state functional alterations between the insula and IFG and STG, corresponding with the results of previous fMRI studies. These findings provide new insight into the neurobiological basis of HD.
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Affiliation(s)
- Kenta Kato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hirofumi Tomiyama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keitaro Murayama
- Department of Neuropsychiatry, Kyushu University Hospital, Fukuoka, Japan
| | - Taro Mizobe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akira Matsuo
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nami Nishida
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kou Matukuma
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mingi Kang
- Graduate School of Human Environment Studies, Kyushu University, Fukuoka, Japan
| | - Kenta Sashikata
- Graduate School of Human Environment Studies, Kyushu University, Fukuoka, Japan
| | - Kazufumi Kikuchi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Osamu Togao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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17
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Roberts BRT, Meade ME, Fernandes MA. Brain regions supporting retrieval of words drawn at encoding: fMRI evidence for multimodal reactivation. Mem Cognit 2024:10.3758/s13421-024-01591-y. [PMID: 38865077 DOI: 10.3758/s13421-024-01591-y] [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] [Accepted: 05/16/2024] [Indexed: 06/13/2024]
Abstract
Memory for words that are drawn or sketched by the participant, rather than written, during encoding is typically superior. While this drawing benefit has been reliably demonstrated in recent years, there has yet to be an investigation of its neural basis. Here, we asked participants to either create drawings, repeatedly write, or list physical characteristics depicting each target word during encoding. Participants then completed a recognition memory test for target words while undergoing functional magnetic resonance imaging (fMRI). Behavioural results showed memory was significantly higher for words drawn than written, replicating the typical drawing effect. Memory for words whose physical characteristics were listed at encoding was also higher than for those written repeatedly, but lower than for those drawn. Voxel-wise analyses of fMRI data revealed two distributed sets of brain regions more active for items drawn relative to written, the left angular gyrus (BA 39) and bilateral frontal (BA 10) regions, suggesting integration and self-referential processing during retrieval of drawn words. Brain-behaviour correlation analyses showed that the size of one's memory benefit for words drawn relative to written at encoding was positively correlated with activation in brain regions linked to visual representation and imagery (BA 17 and cuneus) and motor planning (premotor and supplementary motor areas; BA 6). This study suggests that drawing benefits memory by coactivating multiple sensory traces. Target words drawn during encoding are subsequently remembered by re-engaging visual, motoric, and semantic representations.
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Affiliation(s)
- Brady R T Roberts
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
| | - Melissa E Meade
- Department of Psychology, Huron College at Western University, London, Ontario, Canada
| | - Myra A Fernandes
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
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18
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Liang X, Huang F, Liu D, Xu M. Brain representations of lexical ambiguity: Disentangling homonymy, polysemy, and their meanings. BRAIN AND LANGUAGE 2024; 253:105426. [PMID: 38815503 DOI: 10.1016/j.bandl.2024.105426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/01/2024]
Abstract
In human languages, it is a common phenomenon for a single word to have multiple meanings. This study used fMRI to investigate how the brain processed different types of lexical ambiguity, and how it differentiated the meanings of ambiguous words. We focused on homonyms and polysemy that differed in the relatedness among multiple meanings. Participants (N = 35) performed a prime-target semantic relatedness task, where a specific meaning of an ambiguous word was primed. Results showed that homonyms elicited greater activation in bilateral dorsal prefrontal and posterior parietal cortices than polysemous words, suggesting that these regions may be more engaged in cognitive control when the meanings of ambiguous words are unrelated. Multivariate pattern analysis further revealed that meanings of homonyms with different syntactic categories were represented differently in the frontal and temporal cortices. The findings highlighted the importance of semantic relations and grammatical factors in the brain's representation of lexical ambiguities.
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Affiliation(s)
- Xinyuan Liang
- School of Chinese Language and Literature, University of Chinese Academy of Social Science, Beijing 100102, China
| | - Fuchun Huang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Danqing Liu
- School of Humanities, Shenzhen University, Shenzhen 518060, China.
| | - Min Xu
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen 518060, China.
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19
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Wu W, Lohani S, Homan T, Krieger-Redwood K, Hoffman P. Healthy ageing has divergent effects on verbal and non-verbal semantic cognition. Q J Exp Psychol (Hove) 2024; 77:1179-1189. [PMID: 37542428 PMCID: PMC11103919 DOI: 10.1177/17470218231195341] [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: 11/11/2022] [Revised: 06/16/2023] [Accepted: 07/20/2023] [Indexed: 08/07/2023]
Abstract
Semantic cognition refers to the storage and appropriate use of knowledge acquired over the lifespan and underpins our everyday verbal and non-verbal behaviours. Successful semantic cognition requires representation of knowledge and control processes which ensure that currently relevant aspects of knowledge are retrieved and selected. Although these abilities have been widely studied in healthy young populations and semantically impaired patients, it is unclear how they change as a function of healthy ageing, especially for non-verbal semantic processing. Here, we addressed this issue by comparing the performance profiles of young and older people on a semantic knowledge task and a semantic control task, across verbal (word) and non-verbal (picture) versions. The results revealed distinct patterns of change during adulthood for semantic knowledge and semantic control. Older people performed better in both verbal and non-verbal knowledge tasks than young people. However, although the older group showed preserved controlled retrieval for verbal semantics, they demonstrated a specific impairment for non-verbal semantic control. These findings indicate that the effects of ageing on semantic cognition are more complex than previously assumed, and that input modality plays an important role in the shifting cognitive architecture of semantics in later life.
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Affiliation(s)
- Wei Wu
- School of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Suchismita Lohani
- School of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK
| | - Taylore Homan
- School of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK
| | | | - Paul Hoffman
- School of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK
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20
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Garcia A, Cohen RA, Langer KG, O'Neal AG, Porges EC, Woods AJ, Williamson JB. Semantic processing in older adults is associated with distributed neural activation which varies by association and abstractness of words. GeroScience 2024:10.1007/s11357-024-01216-x. [PMID: 38822124 DOI: 10.1007/s11357-024-01216-x] [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: 01/07/2024] [Accepted: 05/20/2024] [Indexed: 06/02/2024] Open
Abstract
The extent to which the neural systems underlying semantic processes degrade with advanced age remains unresolved, which motivated the current study of neural activation on functional magnetic resonance imaging (fMRI) during semantic judgments of associated vs. unassociated, semantic vs. rhyme, and abstract vs. rhyme word pairs. Thirty-eight older adults, 55-85 years of age, performed semantic association decision tasks in a mixed event-related block fMRI paradigm involving binary judgments as to whether word pairs were related (i.e., semantically associated). As hypothesized, significantly greater activation was evident during processing of associated (vs. unassociated) word pairs in cortical areas implicated in semantic processing, including the angular gyrus, temporal cortex, and inferior frontal cortex. Cortical areas showed greater activation to unassociated (vs. associated) word pairs, primarily within a large occipital cluster. Greater activation was evident in cortical areas when response to semantic vs. phonemic word pairs. Contrasting activation during abstract vs. concrete semantic processing revealed areas of co-activation to both semantic classes, and areas that had greater response to either abstract or concrete word pairs. Neural activation across conditions did not vary as a function of greater age, indicating only minimal age-associated perturbation in neural activation during semantic processing. Therefore, the response of the semantic hubs, semantic control, and secondary association areas appear to be largely preserved with advanced age among older adults exhibiting successful cognitive aging. These findings may provide a useful clinical contrast if compared to activation among adults experiencing cognitive decline due Alzheimer's, frontal-temporal dementia, and other neurodegenerative diseases.
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Affiliation(s)
- Amanda Garcia
- Behavioral Sciences Department, James A. Haley Veterans' Hospital, Tampa, FL, USA
| | - Ronald A Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
- Brain Rehabilitation and Research Center, Malcom Randall VAMC, Gainesville, FL, USA.
| | - Kailey G Langer
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Alexandria G O'Neal
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
- Center for OCD and Anxiety Related Disorders, Department of Psychiatry, McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Eric C Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
- Brain Rehabilitation and Research Center, Malcom Randall VAMC, Gainesville, FL, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
- Center for OCD and Anxiety Related Disorders, Department of Psychiatry, McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
| | - John B Williamson
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
- Brain Rehabilitation and Research Center, Malcom Randall VAMC, Gainesville, FL, USA
- Center for OCD and Anxiety Related Disorders, Department of Psychiatry, McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA
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21
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Wang X, Krieger-Redwood K, Lyu B, Lowndes R, Wu G, Souter NE, Wang X, Kong R, Shafiei G, Bernhardt BC, Cui Z, Smallwood J, Du Y, Jefferies E. The Brain's Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge. J Neurosci 2024; 44:e2223232024. [PMID: 38527807 PMCID: PMC11140685 DOI: 10.1523/jneurosci.2223-23.2024] [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: 11/15/2023] [Revised: 03/14/2024] [Accepted: 03/17/2024] [Indexed: 03/27/2024] Open
Abstract
Adaptive behavior relies both on specific rules that vary across situations and stable long-term knowledge gained from experience. The frontoparietal control network (FPCN) is implicated in the brain's ability to balance these different influences on action. Here, we investigate how the topographical organization of the cortex supports behavioral flexibility within the FPCN. Functional properties of this network might reflect its juxtaposition between the dorsal attention network (DAN) and the default mode network (DMN), two large-scale systems implicated in top-down attention and memory-guided cognition, respectively. Our study tests whether subnetworks of FPCN are topographically proximal to the DAN and the DMN, respectively, and how these topographical differences relate to functional differences: the proximity of each subnetwork is anticipated to play a pivotal role in generating distinct cognitive modes relevant to working memory and long-term memory. We show that FPCN subsystems share multiple anatomical and functional similarities with their neighboring systems (DAN and DMN) and that this topographical architecture supports distinct interaction patterns that give rise to different patterns of functional behavior. The FPCN acts as a unified system when long-term knowledge supports behavior but becomes segregated into discrete subsystems with different patterns of interaction when long-term memory is less relevant. In this way, our study suggests that the topographical organization of the FPCN and the connections it forms with distant regions of cortex are important influences on how this system supports flexible behavior.
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Affiliation(s)
- Xiuyi Wang
- CAS 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 100049, China
- Department of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom
| | - Katya Krieger-Redwood
- Department of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom
| | - Baihan Lyu
- CAS 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 100049, China
| | - Rebecca Lowndes
- Department of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom
| | - Guowei Wu
- CAS 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 100049, China
| | - Nicholas E Souter
- Department of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom
| | - Xiaokang Wang
- Department of Biomedical Engineering, University of California, Davis, California 95616
| | - Ru Kong
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117549, Singapore
| | - Golia Shafiei
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Zaixu Cui
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Jonathan Smallwood
- Department of Psychology, Queens University, Kingston, Ontario K7L 3N6, Canada
| | - Yi Du
- CAS 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 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China
| | - Elizabeth Jefferies
- Department of Psychology, University of York, Heslington, York YO10 5DD, United Kingdom
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22
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Feurer C, Jimmy J, Uribe M, Shankman SA, Langenecker SA, Craske MG, Ajilore O, Phan KL, Klumpp H. Brain activity during reappraisal and associations with psychotherapy response in social anxiety and major depression: a randomized trial. Psychol Med 2024:1-11. [PMID: 38775085 DOI: 10.1017/s0033291724001120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
BACKGROUND Cognitive behavioral therapy (CBT) is an effective treatment for patients with social anxiety disorder (SAD) or major depressive disorder (MDD), yet there is variability in clinical improvement. Though prior research suggests pre-treatment engagement of brain regions supporting cognitive reappraisal (e.g. dorsolateral prefrontal cortex [dlPFC]) foretells CBT response in SAD, it remains unknown if this extends to MDD or is specific to CBT. The current study examined associations between pre-treatment neural activity during reappraisal and clinical improvement in patients with SAD or MDD following a trial of CBT or supportive therapy (ST), a common-factors comparator arm. METHODS Participants were 75 treatment-seeking patients with SAD (n = 34) or MDD (n = 41) randomized to CBT (n = 40) or ST (n = 35). Before randomization, patients completed a cognitive reappraisal task during functional magnetic resonance imaging. Additionally, patients completed clinician-administered symptom measures and a self-report cognitive reappraisal measure before treatment and every 2 weeks throughout treatment. RESULTS Results indicated that pre-treatment neural activity during reappraisal differentially predicted CBT and ST response. Specifically, greater trajectories of symptom improvement throughout treatment were associated with less ventrolateral prefrontal cortex (vlPFC) activity for CBT patients, but more vlPFC activity for ST patients. Also, less baseline dlPFC activity corresponded with greater trajectories of self-reported reappraisal improvement, regardless of treatment arm. CONCLUSIONS If replicated, findings suggest individual differences in brain response during reappraisal may be transdiagnostically associated with treatment-dependent improvement in symptom severity, but improvement in subjective reappraisal following psychotherapy, more broadly.
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Affiliation(s)
- Cope Feurer
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - Jagan Jimmy
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Melissa Uribe
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Scott A Langenecker
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Michelle G Craske
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California-Los Angeles, Los Angeles, CA, USA
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Heide Klumpp
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
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23
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Timofeeva P, Finisguerra A, D’Argenio G, García AM, Carreiras M, Quiñones I, Urgesi C, Amoruso L. Switching off: disruptive TMS reveals distinct contributions of the posterior middle temporal gyrus and angular gyrus to bilingual speech production. Cereb Cortex 2024; 34:bhae188. [PMID: 38741267 PMCID: PMC11090997 DOI: 10.1093/cercor/bhae188] [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: 02/23/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/16/2024] Open
Abstract
The role of the left temporoparietal cortex in speech production has been extensively studied during native language processing, proving crucial in controlled lexico-semantic retrieval under varying cognitive demands. Yet, its role in bilinguals, fluent in both native and second languages, remains poorly understood. Here, we employed continuous theta burst stimulation to disrupt neural activity in the left posterior middle-temporal gyrus (pMTG) and angular gyrus (AG) while Italian-Friulian bilinguals performed a cued picture-naming task. The task involved between-language (naming objects in Italian or Friulian) and within-language blocks (naming objects ["knife"] or associated actions ["cut"] in a single language) in which participants could either maintain (non-switch) or change (switch) instructions based on cues. During within-language blocks, cTBS over the pMTG entailed faster naming for high-demanding switch trials, while cTBS to the AG elicited slower latencies in low-demanding non-switch trials. No cTBS effects were observed in the between-language block. Our findings suggest a causal involvement of the left pMTG and AG in lexico-semantic processing across languages, with distinct contributions to controlled vs. "automatic" retrieval, respectively. However, they do not support the existence of shared control mechanisms within and between language(s) production. Altogether, these results inform neurobiological models of semantic control in bilinguals.
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Affiliation(s)
- Polina Timofeeva
- BCBL, Basque Center on Cognition, Brain, and Language (BCBL), Paseo Mikeletegi 69, 2nd floor, 20009 San Sebastian, Spain
- Universidad del País Vasco (UPV/EHU), Doctoral School, 48940, Sarriena s/n, Leioa, Spain
| | - Alessandra Finisguerra
- Scientific Institute, IRCCS E. Medea, Via Cialdini 29, 33037, Pasian di Prato, UD, Italy
| | - Giulia D’Argenio
- Laboratory of Cognitive Neuroscience, Department of Languages and Literatures, Communication, Education and Society, University of Udine, Via Margreth 3, 33100, Udine, Italy
| | - Adolfo M García
- Cognitive Neuroscience Center (CNC), University of San Andres, Vito Dumas 284, B1644 BID, Buenos Aires, Argentina
- Global Brain Health Institute (GBHI), University of California, Parnassus 513, CA 94143, San Franscisco, United States & Trinity College Dublin, College Green, Dublin 2, D02X9W9, Ireland
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Av. Libertador B. O'Higgins 3363, 9170022, Santiago de Chile, Chile
| | - Manuel Carreiras
- BCBL, Basque Center on Cognition, Brain, and Language (BCBL), Paseo Mikeletegi 69, 2nd floor, 20009 San Sebastian, Spain
- Universidad del País Vasco (UPV/EHU), Doctoral School, 48940, Sarriena s/n, Leioa, Spain
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009, Bilbao, Spain
| | - Ileana Quiñones
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009, Bilbao, Spain
- Neurosciences Department, BioGipuzkoa Health Research Institute, Paseo Dr. Begiristain s/n, 20014, San Sebastian, Spain
| | - Cosimo Urgesi
- Scientific Institute, IRCCS E. Medea, Via Cialdini 29, 33037, Pasian di Prato, UD, Italy
- Laboratory of Cognitive Neuroscience, Department of Languages and Literatures, Communication, Education and Society, University of Udine, Via Margreth 3, 33100, Udine, Italy
| | - Lucia Amoruso
- BCBL, Basque Center on Cognition, Brain, and Language (BCBL), Paseo Mikeletegi 69, 2nd floor, 20009 San Sebastian, Spain
- Cognitive Neuroscience Center (CNC), University of San Andres, Vito Dumas 284, B1644 BID, Buenos Aires, Argentina
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009, Bilbao, Spain
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24
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Souter NE, de Freitas A, Zhang M, Shao X, del Jesus Gonzalez Alam TR, Engen H, Smallwood J, Krieger‐Redwood K, Jefferies E. Default mode network shows distinct emotional and contextual responses yet common effects of retrieval demands across tasks. Hum Brain Mapp 2024; 45:e26703. [PMID: 38716714 PMCID: PMC11077571 DOI: 10.1002/hbm.26703] [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: 09/30/2023] [Revised: 04/03/2024] [Accepted: 04/17/2024] [Indexed: 05/12/2024] Open
Abstract
The default mode network (DMN) lies towards the heteromodal end of the principal gradient of intrinsic connectivity, maximally separated from the sensory-motor cortex. It supports memory-based cognition, including the capacity to retrieve conceptual and evaluative information from sensory inputs, and to generate meaningful states internally; however, the functional organisation of DMN that can support these distinct modes of retrieval remains unclear. We used fMRI to examine whether activation within subsystems of DMN differed as a function of retrieval demands, or the type of association to be retrieved, or both. In a picture association task, participants retrieved semantic associations that were either contextual or emotional in nature. Participants were asked to avoid generating episodic associations. In the generate phase, these associations were retrieved from a novel picture, while in the switch phase, participants retrieved a new association for the same image. Semantic context and emotion trials were associated with dissociable DMN subnetworks, indicating that a key dimension of DMN organisation relates to the type of association being accessed. The frontotemporal and medial temporal DMN showed a preference for emotional and semantic contextual associations, respectively. Relative to the generate phase, the switch phase recruited clusters closer to the heteromodal apex of the principal gradient-a cortical hierarchy separating unimodal and heteromodal regions. There were no differences in this effect between association types. Instead, memory switching was associated with a distinct subnetwork associated with controlled internal cognition. These findings delineate distinct patterns of DMN recruitment for different kinds of associations yet common responses across tasks that reflect retrieval demands.
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Affiliation(s)
- Nicholas E. Souter
- Department of PsychologyUniversity of YorkYorkUK
- School of PsychologyUniversity of SussexBrightonUK
| | - Antonia de Freitas
- Department of PsychologyUniversity of YorkYorkUK
- Experimental Psychology, Division of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Meichao Zhang
- Department of PsychologyUniversity of YorkYorkUK
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
| | - Ximing Shao
- Department of PsychologyUniversity of YorkYorkUK
- Experimental Psychology, Division of Psychology and Language SciencesUniversity College LondonLondonUK
| | | | - Haakon Engen
- Institute for Military Psychiatry, Joint Medical ServicesNorwegian Armed ForcesNorway
- Department of PsychologyUniversity of OsloOsloNorway
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25
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Hartwigsen G, Lim JS, Bae HJ, Yu KH, Kuijf HJ, Weaver NA, Biesbroek JM, Kopal J, Bzdok D. Bayesian modelling disentangles language versus executive control disruption in stroke. Brain Commun 2024; 6:fcae129. [PMID: 38707712 PMCID: PMC11069117 DOI: 10.1093/braincomms/fcae129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/06/2024] [Accepted: 04/09/2024] [Indexed: 05/07/2024] Open
Abstract
Stroke is the leading cause of long-term disability worldwide. Incurred brain damage can disrupt cognition, often with persisting deficits in language and executive capacities. Yet, despite their clinical relevance, the commonalities and differences between language versus executive control impairments remain under-specified. To fill this gap, we tailored a Bayesian hierarchical modelling solution in a largest-of-its-kind cohort (1080 patients with stroke) to deconvolve language and executive control with respect to the stroke topology. Cognitive function was assessed with a rich neuropsychological test battery including global cognitive function (tested with the Mini-Mental State Exam), language (assessed with a picture naming task), executive speech function (tested with verbal fluency tasks), executive control functions (Trail Making Test and Digit Symbol Coding Task), visuospatial functioning (Rey Complex Figure), as well as verbal learning and memory function (Soul Verbal Learning). Bayesian modelling predicted interindividual differences in eight cognitive outcome scores three months after stroke based on specific tissue lesion topologies. A multivariate factor analysis extracted four distinct cognitive factors that distinguish left- and right-hemispheric contributions to ischaemic tissue lesions. These factors were labelled according to the neuropsychological tests that had the strongest factor loadings: One factor delineated language and general cognitive performance and was mainly associated with damage to left-hemispheric brain regions in the frontal and temporal cortex. A factor for executive control summarized mental flexibility, task switching and visual-constructional abilities. This factor was strongly related to right-hemispheric brain damage of posterior regions in the occipital cortex. The interplay of language and executive control was reflected in two distinct factors that were labelled as executive speech functions and verbal memory. Impairments on both factors were mainly linked to left-hemispheric lesions. These findings shed light onto the causal implications of hemispheric specialization for cognition; and make steps towards subgroup-specific treatment protocols after stroke.
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Affiliation(s)
- Gesa Hartwigsen
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04109 Leipzig, Germany
- Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, 13620, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, 14068, Republic of Korea
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Nick A Weaver
- Department of Neurology and Neurosurgery, Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Neurology, Diakonessenhuis Hospital, 3582 KE Utrecht, The Netherlands
| | - Jakub Kopal
- Department of Biomedical Engineering, Faculty of Medicine, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2BA, Canada
- Mila—Quebec Artificial Intelligence Institute, Montreal, Quebec H2S 3H1, Canada
| | - Danilo Bzdok
- Department of Biomedical Engineering, Faculty of Medicine, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2BA, Canada
- Mila—Quebec Artificial Intelligence Institute, Montreal, Quebec H2S 3H1, Canada
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26
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Fairhall SL. Sentence-level embeddings reveal dissociable word- and sentence-level cortical representation across coarse- and fine-grained levels of meaning. BRAIN AND LANGUAGE 2024; 250:105389. [PMID: 38306958 DOI: 10.1016/j.bandl.2024.105389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 01/09/2024] [Accepted: 01/26/2024] [Indexed: 02/04/2024]
Abstract
In this large-sample (N = 64) fMRI study, sentence embeddings (text-embedding-ada-002, OpenAI) and representational similarity analysis were used to contrast sentence-level and word-level semantic representation. Overall, sentence-level information resulted in a 20-25 % increase in the model's ability to captures neural representation when compared to word-level only information (word-order scrambled embeddings). This increase was relatively undifferentiated across the cortex. However, when coarse-grained (across thematic category) and fine-grained (within thematic category) combinatorial meaning were separately assessed, word- and sentence-level representations were seen to strongly dissociate across the cortex and to do so differently as a function of grain. Coarse-grained sentence-level representations were evident in occipitotemporal, ventral temporal and medial prefrontal cortex, while fine-grained differences were seen in lateral prefrontal and parietal cortex, middle temporal gyrus, the precuneus, and medial prefrontal cortex. This result indicates dissociable cortical substrates underly single concept versus combinatorial meaning and that different cortical regions specialise for fine- and coarse-grained meaning.
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Affiliation(s)
- Scott L Fairhall
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Italy.
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27
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Mecklenbrauck F, Gruber M, Siestrup S, Zahedi A, Grotegerd D, Mauritz M, Trempler I, Dannlowski U, Schubotz RI. The significance of structural rich club hubs for the processing of hierarchical stimuli. Hum Brain Mapp 2024; 45:e26543. [PMID: 38069537 PMCID: PMC10915744 DOI: 10.1002/hbm.26543] [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: 06/09/2023] [Revised: 10/17/2023] [Accepted: 11/09/2023] [Indexed: 03/07/2024] Open
Abstract
The brain's structural network follows a hierarchy that is described as rich club (RC) organization, with RC hubs forming the well-interconnected top of this hierarchy. In this study, we tested whether RC hubs are involved in the processing of hierarchically higher structures in stimulus sequences. Moreover, we explored the role of previously suggested cortical gradients along anterior-posterior and medial-lateral axes throughout the frontal cortex. To this end, we conducted a functional magnetic resonance imaging (fMRI) experiment and presented participants with blocks of digit sequences that were structured on different hierarchically nested levels. We additionally collected diffusion weighted imaging data of the same subjects to identify RC hubs. This classification then served as the basis for a region of interest analysis of the fMRI data. Moreover, we determined structural network centrality measures in areas that were found as activation clusters in the whole-brain fMRI analysis. Our findings support the previously found anterior and medial shift for processing hierarchically higher structures of stimuli. Additionally, we found that the processing of hierarchically higher structures of the stimulus structure engages RC hubs more than for lower levels. Areas involved in the functional processing of hierarchically higher structures were also more likely to be part of the structural RC and were furthermore more central to the structural network. In summary, our results highlight the potential role of the structural RC organization in shaping the cortical processing hierarchy.
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Affiliation(s)
- Falko Mecklenbrauck
- Department of Psychology, Biological PsychologyUniversity of MünsterMünsterGermany
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
| | - Marius Gruber
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Department for Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital Frankfurt, Goethe UniversityFrankfurtGermany
| | - Sophie Siestrup
- Department of Psychology, Biological PsychologyUniversity of MünsterMünsterGermany
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
| | - Anoushiravan Zahedi
- Department of Psychology, Biological PsychologyUniversity of MünsterMünsterGermany
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
| | - Dominik Grotegerd
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Marco Mauritz
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Institute for Computational and Applied MathematicsUniversity of MünsterMünsterGermany
| | - Ima Trempler
- Department of Psychology, Biological PsychologyUniversity of MünsterMünsterGermany
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
| | - Udo Dannlowski
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Ricarda I. Schubotz
- Department of Psychology, Biological PsychologyUniversity of MünsterMünsterGermany
- Otto Creutzfeldt Center for Cognitive and Behavioral NeuroscienceUniversity of MünsterMünsterGermany
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28
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Alonso MA, Díez E, Díez-Álamo AM, Fernandez A, Gómez-Ariza CJ. Transcranial direct current stimulation over the left posterior temporal lobe modulates semantic control: Evidence from episodic memory distortions. Brain Cogn 2024; 175:106130. [PMID: 38219414 DOI: 10.1016/j.bandc.2024.106130] [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: 07/07/2023] [Revised: 12/26/2023] [Accepted: 01/03/2024] [Indexed: 01/16/2024]
Abstract
Evidence accumulates to show that semantic cognition requires, in addition to semantic representations, control processes that regulate the accessibility and use of semantic knowledge in a task- and time-appropriate fashion. Semantic control has been recently proposed to rely on a distributed network that includes the posterior temporal cortex. Along these lines, recent meta-analyses of neuroimaging data and studies with patients suffering from semantic aphasia have suggested that the left posterior middle temporal gyrus (pMTG) is critically involved whenever situational context must constrain semantic retrieval. In the present experiment, we used transcranial direct current stimulation over the left posterior temporal lobe in an attempt to interfere with semantic control while participants performed a DRM task, a procedure for inducing conceptually-based false recognition that is contingent on both activation and control processes. Paralleling findings with patients suffering from brain damage restricted to the temporoparietal cortex, anodal stimulation (relative to sham stimulation) resulted in increased false recognition but intact true recognition. These findings fit well with the idea that the left pMTG is a key component of a semantic control network, the alteration of which results in memory performance that is affected by the intrusion of contextually-inappropriate semantic information.
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Affiliation(s)
- Maria A Alonso
- Institute on Neuroscience (IUNE), University of La Laguna, Tenerife, Spain; Institute on Community Integration (INICO), University of Salamanca, Salamanca, Spain
| | - Emiliano Díez
- Institute on Neuroscience (IUNE), University of La Laguna, Tenerife, Spain; Institute on Community Integration (INICO), University of Salamanca, Salamanca, Spain
| | - Antonio M Díez-Álamo
- Institute on Community Integration (INICO), University of Salamanca, Salamanca, Spain.
| | - Angel Fernandez
- Institute on Neuroscience (IUNE), University of La Laguna, Tenerife, Spain; Institute on Community Integration (INICO), University of Salamanca, Salamanca, Spain
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29
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Norberg J, McMains S, Persson J, Mitchell JP. Frontotemporal contributions to social and non-social semantic judgements. J Neuropsychol 2024; 18:66-80. [PMID: 37255262 DOI: 10.1111/jnp.12328] [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: 10/26/2022] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/01/2023]
Abstract
Semantic judgements involve the use of general knowledge about the world in specific situations. Such judgements are typically associated with activity in a number of brain regions that include the left inferior frontal gyrus (IFG). However, previous studies showed activity in brain regions associated with mentalizing, including the right temporoparietal junction (TPJ), in semantic judgements that involved social knowledge. The aim of the present study was to investigate if social and non-social semantic judgements are dissociated using a combination of fMRI and repetitive TMS. To study this, we asked participants to estimate the percentage of exemplars in a given category that shared a specified attribute. Categories could be either social (i.e., stereotypes) or non-social (i.e., object categories). As expected, fMRI results (n = 26) showed enhanced activity in the left IFG that was specific to non-social semantic judgements. However, statistical evidence did not support that repetitive TMS stimulation (n = 19) to this brain region specifically disrupted non-social semantic judgements. Also as expected, the right TPJ showed enhanced activity to social semantic judgements. However, statistical evidence did not support that repetitive TMS stimulation to this brain region specifically disrupted social semantic judgements. It is possible that the causal networks involved in social and non-social semantic judgements may be more complex than expected.
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Affiliation(s)
- Joakim Norberg
- Harvard University, Cambridge, Massachusetts, USA
- Uppsala University, Uppsala, Sweden
- Örebro University, Örebro, Sweden
| | | | - Jonas Persson
- Örebro University, Örebro, Sweden
- Karolinska Institute, Stockholm, Sweden
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30
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Adezati E, Liu X, Ding J, Thye M, Szaflarski JP, Mirman D. Phase synchronization during the processing of taxonomic and thematic relations. BRAIN AND LANGUAGE 2024; 249:105379. [PMID: 38241856 DOI: 10.1016/j.bandl.2024.105379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 12/20/2023] [Accepted: 01/06/2024] [Indexed: 01/21/2024]
Abstract
Semantic relations include "taxonomic" relations based on shared features and "thematic" relations based on co-occurrence in events. The "dual-hub" account proposes that the anterior temporal lobe (ATL) is functionally specialized for taxonomic relations and the inferior parietal lobule (IPL) for thematic relations. This study examined this claim by analyzing the intra- and inter-region phase synchronization of intracranial EEG data from electrodes in the ATL, IPL, and two subregions of the semantic control network: left inferior frontal gyrus (IFG) and posterior middle temporal gyrus (pMTG). Ten participants with epilepsy completed a semantic relatedness judgment task during intracranial EEG recording and had electrodes in at least one hub and at least one semantic control region. Theta band phase synchronization was partially consistent with the dual-hub account: synchronization between the ATL and IFG/pMTG increased when processing taxonomic relations, and synchronization within the IPL and between IPL and pMTG increased when processing thematic relations.
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Affiliation(s)
- Erica Adezati
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Xianqing Liu
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Junhua Ding
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Melissa Thye
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Jerzy P Szaflarski
- Department of Neurology and the University of Alabama at Birmingham (UAB) Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Daniel Mirman
- Department of Psychology, University of Edinburgh, Edinburgh, UK.
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31
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Kim HE, Kim JJ, Seok JH, Park JY, Oh J. Resting-state functional connectivity and cognitive performance in aging adults with cognitive decline: A data-driven multivariate pattern analysis. Compr Psychiatry 2024; 129:152445. [PMID: 38154288 DOI: 10.1016/j.comppsych.2023.152445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Cognitive impairments occur on a continuous spectrum in multiple cognitive domains showing individual variability of the deteriorating patterns; however, often, cognitive domains are studied separately. METHODS The present study investigated aging individual variations of cognitive abilities and related resting-state functional connectivity (rsFC) using data-driven approach. Cognitive and neuroimaging data were obtained from 62 elderly outpatients with cognitive decline. Principal component analysis (PCA) was conducted on the cognitive data to determine patterns of cognitive performance, then data-driven whole-brain connectome multivariate pattern analysis (MVPA) was applied on the neuroimaging data to discover neural regions associated with the cognitive characteristic. RESULTS The first component (PC1) delineated an overall decline in all domains of cognition, and the second component (PC2) represented a compensatory relationship within basic cognitive functions. MVPA indicated rsFC of the cerebellum lobule VIII and insula with the default-mode network, frontoparietal network, and salience network inversely correlated with PC1 scores. Additionally, PC2 score was related to rsFC patterns with temporal pole and occipital cortex. CONCLUSIONS The featured primary cognitive characteristic depicted the importance of the cerebellum and insula connectivity patterns in of the general cognitive decline. The findings also discovered a secondary characteristic that communicated impaired interactions within the basic cognitive function, which was independent from the impairment severity.
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Affiliation(s)
- Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ho Seok
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Jooyoung Oh
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Bieth T, Ovando‐Tellez M, Lopez‐Persem A, Garcin B, Hugueville L, Lehongre K, Levy R, George N, Volle E. Time course of EEG power during creative problem-solving with insight or remote thinking. Hum Brain Mapp 2024; 45:e26547. [PMID: 38060194 PMCID: PMC10789201 DOI: 10.1002/hbm.26547] [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: 07/02/2023] [Revised: 10/18/2023] [Accepted: 11/15/2023] [Indexed: 12/08/2023] Open
Abstract
Problem-solving often requires creativity and is critical in everyday life. However, the neurocognitive mechanisms underlying creative problem-solving remain poorly understood. Two mechanisms have been highlighted: the formation of new connections among problem elements and insight solving, characterized by sudden realization of a solution. In this study, we investigated EEG activity during a modified version of the remote associates test, a classical insight problem task that requires finding a word connecting three unrelated words. This allowed us to explore the brain correlates associated with the semantic remoteness of connections (by varying the remoteness of the solution word across trials) and with insight solving (identified as a Eurêka moment reported by the participants). Semantic remoteness was associated with power increase in the alpha band (8-12 Hz) in a left parieto-temporal cluster, the beta band (13-30 Hz) in a right fronto-temporal cluster in the early phase of the task, and the theta band (3-7 Hz) in a bilateral frontal cluster just prior to participants' responses. Insight solving was associated with power increase preceding participants' responses in the alpha and gamma (31-60 Hz) bands in a left temporal cluster and the theta band in a frontal cluster. Source reconstructions revealed the brain regions associated with these clusters. Overall, our findings shed new light on some of the mechanisms involved in creative problem-solving.
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Affiliation(s)
- Théophile Bieth
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, AP‐HP, Hôpital de la Pitié Salpêtrière, DMU NeuroscienceParisFrance
| | - Marcela Ovando‐Tellez
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
| | - Alizée Lopez‐Persem
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
| | - Béatrice Garcin
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
- Department of NeurologyAvicenne Hospital, AP‐HPBobignyFrance
| | - Laurent Hugueville
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
- Institut du Cerveau—ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, Centre MEG‐EEG, CENIRParisFrance
| | - Katia Lehongre
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
| | - Richard Levy
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, AP‐HP, Hôpital de la Pitié Salpêtrière, DMU NeuroscienceParisFrance
| | - Nathalie George
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
- Institut du Cerveau—ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, Centre MEG‐EEG, CENIRParisFrance
| | - Emmanuelle Volle
- Sorbonne Université, Institut du Cerveau—Paris Brain Institute—ICM, Inserm, CNRS, APHP, Hôpital de la Pitié SalpêtrièreParisFrance
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Branzi FM, Lambon Ralph MA. Semantic-specific and domain-general mechanisms for integration and update of contextual information. Hum Brain Mapp 2023; 44:5547-5566. [PMID: 37787648 PMCID: PMC10619409 DOI: 10.1002/hbm.26454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/26/2023] [Accepted: 08/02/2023] [Indexed: 10/04/2023] Open
Abstract
Recent research has highlighted the importance of domain-general processes and brain regions for language and semantic cognition. Yet, this has been mainly observed in executively demanding tasks, leaving open the question of the contribution of domain-general processes to natural language and semantic cognition. Using fMRI, we investigated whether neural processes reflecting context integration and context update-two key aspects of naturalistic language and semantic processing-are domain-specific versus domain-general. Thus, we compared neural responses during the integration of contextual information across semantic and non-semantic tasks. Whole-brain results revealed both shared (left posterior-dorsal inferior frontal gyrus, left posterior inferior temporal gyrus, and left dorsal angular gyrus/intraparietal sulcus) and distinct (left anterior-ventral inferior frontal gyrus, left anterior ventral angular gyrus, left posterior middle temporal gyrus for semantic control only) regions involved in context integration and update. Furthermore, data-driven functional connectivity analysis clustered domain-specific versus domain-general brain regions into distinct but interacting functional neural networks. These results provide a first characterisation of the neural processes required for context-dependent integration during language processing along the domain-specificity dimension, and at the same time, they bring new insights into the role of left posterior lateral temporal cortex and left angular gyrus for semantic cognition.
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Affiliation(s)
- Francesca M. Branzi
- Department of Psychological SciencesInstitute of Population Health, University of LiverpoolLiverpoolUK
- MRC Cognition & Brain Sciences UnitThe University of CambridgeCambridgeUK
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Federico G, Osiurak F, Ciccarelli G, Ilardi CR, Cavaliere C, Tramontano L, Alfano V, Migliaccio M, Di Cecca A, Salvatore M, Brandimonte MA. On the functional brain networks involved in tool-related action understanding. Commun Biol 2023; 6:1163. [PMID: 37964121 PMCID: PMC10645930 DOI: 10.1038/s42003-023-05518-2] [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: 04/28/2023] [Accepted: 10/27/2023] [Indexed: 11/16/2023] Open
Abstract
Tool-use skills represent a significant cognitive leap in human evolution, playing a crucial role in the emergence of complex technologies. Yet, the neural mechanisms underlying such capabilities are still debated. Here we explore with fMRI the functional brain networks involved in tool-related action understanding. Participants viewed images depicting action-consistent (e.g., nail-hammer) and action-inconsistent (e.g., scarf-hammer) object-tool pairs, under three conditions: semantic (recognizing the tools previously seen in the pairs), mechanical (assessing the usability of the pairs), and control (looking at the pairs without explicit tasks). During the observation of the pairs, task-based left-brain functional connectivity differed within conditions. Compared to the control, both the semantic and mechanical conditions exhibited co-activations in dorsal (precuneus) and ventro-dorsal (inferior frontal gyrus) regions. However, the semantic condition recruited medial and posterior temporal areas, whereas the mechanical condition engaged inferior parietal and posterior temporal regions. Also, when distinguishing action-consistent from action-inconsistent pairs, an extensive frontotemporal neural circuit was activated. These findings support recent accounts that view tool-related action understanding as the combined product of semantic and mechanical knowledge. Furthermore, they emphasize how the left inferior parietal and anterior temporal lobes might be considered as hubs for the cross-modal integration of physical and conceptual knowledge, respectively.
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Affiliation(s)
| | - François Osiurak
- Laboratoire d'Etude des Mécanismes Cognitifs (EA 3082), Université de Lyon, Bron, France
- Institut Universitaire de France, Paris, France
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Ding J, Middleton EL, Mirman D. Impaired discourse content in aphasia is associated with frontal white matter damage. Brain Commun 2023; 5:fcad310. [PMID: 38025278 PMCID: PMC10664411 DOI: 10.1093/braincomms/fcad310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 09/04/2023] [Accepted: 11/09/2023] [Indexed: 12/01/2023] Open
Abstract
Aphasia is a common consequence of stroke with severe impacts on employability, social interactions and quality of life. Producing discourse-relevant information in a real-world setting is the most important aspect of recovery because it is critical to successful communication. This study sought to identify the lesion correlates of impaired production of relevant information in spoken discourse in a large, unselected sample of participants with post-stroke aphasia. Spoken discourse (n = 80) and structural brain scans (n = 66) from participants with aphasia following left hemisphere stroke were analysed. Each participant provided 10 samples of spoken discourse elicited in three different genres, and 'correct information unit' analysis was used to quantify the informativeness of speech samples. The lesion correlates were identified using multivariate lesion-symptom mapping, voxel-wise disconnection and tract-wise analyses. Amount and speed of relevant information were highly correlated across different genres and with total lesion size. The analyses of lesion correlates converged on the same pattern: impaired production of relevant information was associated with damage to anterior dorsal white matter pathways, specifically the arcuate fasciculus, frontal aslant tract and superior longitudinal fasciculus. Damage to these pathways may be a useful biomarker for impaired informative spoken discourse and informs development of neurorehabilitation strategies.
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Affiliation(s)
- Junhua Ding
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - Daniel Mirman
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
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36
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Wu W, Hoffman P. Age differences in the neural processing of semantics, within and beyond the core semantic network. Neurobiol Aging 2023; 131:88-105. [PMID: 37603932 DOI: 10.1016/j.neurobiolaging.2023.07.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/05/2023] [Accepted: 07/20/2023] [Indexed: 08/23/2023]
Abstract
Aging is associated with functional activation changes in domain-specific regions and large-scale brain networks. This preregistered Functional magnetic resonance imaging (fMRI) study investigated these effects within the domain of semantic cognition. Participants completed 1 nonsemantic and 2 semantic tasks. We found no age differences in semantic activation in core semantic regions. However, the right inferior frontal gyrus showed difficulty-related increases in both age groups. This suggests that age-related upregulation of this area may be a compensatory response to increased processing demands. At a network level, older people showed more engagement in the default mode network and less in the executive multiple-demand network, aligning with older people's greater knowledge reserves and executive declines. In contrast, activation was age-invariant in semantic control regions. Finally, older adults showed reduced demand-related modulation of multiple-demand network activation in the nonsemantic task but not the semantic tasks. These findings provide a new perspective on the neural basis of semantic cognition in aging, suggesting that preserved function in specialized semantic networks may help to maintain semantic cognition in later life.
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Affiliation(s)
- Wei Wu
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh, UK.
| | - Paul Hoffman
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh, UK.
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37
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Akhavan N, Blumenfeld HK, Shapiro L, Love T. Using lexical semantic cues to mitigate interference effects during real-time sentence processing in aphasia. JOURNAL OF NEUROLINGUISTICS 2023; 68:101159. [PMID: 37946740 PMCID: PMC10634522 DOI: 10.1016/j.jneuroling.2023.101159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
We examined the auditory sentence processing of neurologically unimpaired listeners and individuals with aphasia on canonical sentence structures in real-time using a visual-world eye-tracking paradigm. The canonical sentence constructions contained multiple noun phrases and an unaccusative verb, the latter of which formed a long-distance dependency link between the unaccusative verb and its single argument (which was base generated in the object position and then displaced to the subject position). To explore the likelihood of similarity-based interference during the real time linking of the verb and the sentence's subject noun, we manipulated the animacy feature of the noun phrases (matched or mismatched). The study's objectives were to examine whether (a) reducing the similarity-based interference by mismatching animacy features would modulate the encoding and retrieval dynamics of noun phrases in real-time; and (b) whether individuals with aphasia would demonstrate on time sensitivity to this lexical-semantic cue. Results revealed a significant effect of this manipulation in individuals both with and without aphasia. In other words, the mismatch in the representational features of the noun phrases increased the distinctiveness of the unaccusative verb's subject target at the time of syntactic retrieval (verb offset) for individuals in both groups. Moreover, individuals with aphasia were shown to be sensitive to the lexical-semantic cue, even though they appeared to process it slower than unimpaired listeners. This study extends to the cue-based retrieval model by providing new insight on the real-time mechanisms underpinning sentence comprehension.
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Affiliation(s)
- Niloofar Akhavan
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Language and Communicative Disorders, San Diego State University/UC San Diego, San Diego, CA, USA
| | - Henrike K. Blumenfeld
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Language and Communicative Disorders, San Diego State University/UC San Diego, San Diego, CA, USA
| | - Lewis Shapiro
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Language and Communicative Disorders, San Diego State University/UC San Diego, San Diego, CA, USA
| | - Tracy Love
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Language and Communicative Disorders, San Diego State University/UC San Diego, San Diego, CA, USA
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38
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Li M, Cheng D, Chen C, Zhou X. High-definition transcranial direct current stimulation (HD-tDCS) of the left middle temporal gyrus (LMTG) improves mathematical reasoning. Brain Topogr 2023; 36:890-900. [PMID: 37540333 DOI: 10.1007/s10548-023-00996-3] [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: 03/06/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
The role of the visuospatial network in mathematical processing has been established, but the role of the semantic neural network in mathematical processing is still poorly understood. The current study used high-definition transcranial direct current stimulation (HD-tDCS) to examine whether the semantic network supports mathematical processing. Using a single-blind, randomized, sham-controlled experimental design, 48 participants were randomly assigned to receive either anodal or sham HD-tDCS on the left middle temporal gyrus (LMTG), a core region of the semantic network. A number series completion task was used to measure mathematical reasoning and an arithmetical computation task was used as a control condition. Both tasks were administered before and after the 20 min HD-tDCS. The results showed that anodal HD-tDCS on the LMTG enhanced performance on the number series completion task, but not on the arithmetical computation task. Trial-level analysis further showed greater improvement at the more difficult problems of the number series completion task. These results demonstrate that the semantic network plays an important role in mathematical processing.
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Affiliation(s)
- Mengyi Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, 100875, China
| | - Dazhi Cheng
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, 100875, China
- School of Psychology, Capital Normal University, Beijing, 100073, China
| | - Chuansheng Chen
- Department of Psychological Science, University of California, Irvine, CA, 92697-7085, USA
| | - Xinlin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
- Research association for brain and mathematical learning, Beijing Normal University, Beijing, 100875, China.
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39
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Patel T, Morales M, Pickering MJ, Hoffman P. A common neural code for meaning in discourse production and comprehension. Neuroimage 2023; 279:120295. [PMID: 37536526 DOI: 10.1016/j.neuroimage.2023.120295] [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: 01/22/2023] [Revised: 06/28/2023] [Accepted: 07/23/2023] [Indexed: 08/05/2023] Open
Abstract
How does the brain code the meanings conveyed by language? Neuroimaging studies have investigated this by linking neural activity patterns during discourse comprehension to semantic models of language content. Here, we applied this approach to the production of discourse for the first time. Participants underwent fMRI while producing and listening to discourse on a range of topics. We used a distributional semantic model to quantify the similarity between different speech passages and identified where similarity in neural activity was predicted by semantic similarity. When people produced discourse, speech on similar topics elicited similar activation patterns in a widely distributed and bilateral brain network. This network was overlapping with, but more extensive than, the regions that showed similarity effects during comprehension. Critically, cross-task neural similarities between comprehension and production were also predicted by similarities in semantic content. This result suggests that discourse semantics engages a common neural code that is shared between comprehension and production. Effects of semantic similarity were bilateral in all three RSA analyses, even while univariate activation contrasts in the same data indicated left-lateralised BOLD responses. This indicates that right-hemisphere regions encode semantic properties even when they are not activated above baseline. We suggest that right-hemisphere regions play a supporting role in processing the meaning of discourse during both comprehension and production.
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Affiliation(s)
- Tanvi Patel
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Matías Morales
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Martin J Pickering
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Paul Hoffman
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK.
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40
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Hartwigsen G, Lim JS, Bae HJ, Yu KH, Kuijf HJ, Weaver NA, Biesbroek JM, Kopal J, Bzdok D. Bayesian modeling disentangles language versus executive control disruption in stroke. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.06.552147. [PMID: 37609325 PMCID: PMC10441359 DOI: 10.1101/2023.08.06.552147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Stroke is the leading cause of long-term disability worldwide. Incurred brain damage disrupts cognition, often with persisting deficits in language and executive capacities. Despite their clinical relevance, the commonalities, and differences of language versus executive control impairments remain under-specified. We tailored a Bayesian hierarchical modeling solution in a largest-of-its-kind cohort (1080 stroke patients) to deconvolve language and executive control in the brain substrates of stroke insults. Four cognitive factors distinguished left- and right-hemispheric contributions to ischemic tissue lesion. One factor delineated language and general cognitive performance and was mainly associated with damage to left-hemispheric brain regions in the frontal and temporal cortex. A factor for executive control summarized control and visual-constructional abilities. This factor was strongly related to right-hemispheric brain damage of posterior regions in the occipital cortex. The interplay of language and executive control was reflected in two factors: executive speech functions and verbal memory. Impairments on both were mainly linked to left-hemispheric lesions. These findings shed light onto the causal implications of hemispheric specialization for cognition; and make steps towards subgroup-specific treatment protocols after stroke.
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Kuhnke P, Kiefer M, Hartwigsen G. Conceptual representations in the default, control and attention networks are task-dependent and cross-modal. BRAIN AND LANGUAGE 2023; 244:105313. [PMID: 37595340 DOI: 10.1016/j.bandl.2023.105313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/03/2023] [Accepted: 08/10/2023] [Indexed: 08/20/2023]
Abstract
Conceptual knowledge is central to human cognition. Neuroimaging studies suggest that conceptual processing involves modality-specific and multimodal brain regions in a task-dependent fashion. However, it remains unclear (1) to what extent conceptual feature representations are also modulated by the task, (2) whether conceptual representations in multimodal regions are indeed cross-modal, and (3) how the conceptual system relates to the large-scale functional brain networks. To address these issues, we conducted multivariate pattern analyses on fMRI data. 40 participants performed three tasks-lexical decision, sound judgment, and action judgment-on written words. We found that (1) conceptual feature representations are strongly modulated by the task, (2) conceptual representations in several multimodal regions are cross-modal, and (3) conceptual feature retrieval involves the default, frontoparietal control, and dorsal attention networks. Conceptual representations in these large-scale networks are task-dependent and cross-modal. Our findings support theories that assume conceptual processing to rely on a flexible, multi-level architecture.
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Affiliation(s)
- Philipp Kuhnke
- Wilhelm Wundt Institute for Psychology, Leipzig University, Germany; Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | | | - Gesa Hartwigsen
- Wilhelm Wundt Institute for Psychology, Leipzig University, Germany; Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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42
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Chang Y, Halai AD, Lambon Ralph MA. Distance-dependent distribution thresholding in probabilistic tractography. Hum Brain Mapp 2023; 44:4064-4076. [PMID: 37145963 PMCID: PMC10258532 DOI: 10.1002/hbm.26330] [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: 02/10/2023] [Revised: 04/13/2023] [Accepted: 04/20/2023] [Indexed: 05/07/2023] Open
Abstract
Tractography is widely used in human studies of connectivity with respect to every brain region, function, and is explored developmentally, in adulthood, ageing, and in disease. However, the core issue of how to systematically threshold, taking into account the inherent differences in connectivity values for different track lengths, and to do this in a comparable way across studies has not been solved. By utilising 54 healthy individuals' diffusion-weighted image data taken from HCP, this study adopted Monte Carlo derived distance-dependent distributions (DDDs) to generate distance-dependent thresholds with various levels of alpha for connections of varying lengths. As a test case, we applied the DDD approach to generate a language connectome. The resulting connectome showed both short- and long-distance structural connectivity in the close and distant regions as expected for the dorsal and ventral language pathways, consistent with the literature. The finding demonstrates that the DDD approach is feasible to generate data-driven DDDs for common thresholding and can be used for both individual and group thresholding. Critically, it offers a standard method that can be applied to various probabilistic tracking datasets.
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Affiliation(s)
- Ya‐Ning Chang
- Miin Wu School of ComputingNational Cheng Kung UniversityTainanTaiwan
- MRC Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUK
| | - Ajay D. Halai
- MRC Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUK
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43
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Elder JJ, Davis TH, Hughes BL. A Fluid Self-Concept: How the Brain Maintains Coherence and Positivity across an Interconnected Self-Concept While Incorporating Social Feedback. J Neurosci 2023; 43:4110-4128. [PMID: 37156606 PMCID: PMC10255005 DOI: 10.1523/jneurosci.1951-22.2023] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/16/2023] [Accepted: 04/04/2023] [Indexed: 05/10/2023] Open
Abstract
People experience instances of social feedback as interdependent with potential implications for their entire self-concept. How do people maintain positivity and coherence across the self-concept while updating self-views from feedback? We present a network model describing how the brain represents the semantic dependency relations among traits and uses this information to avoid an overall loss of positivity and coherence. Both male and female human participants received social feedback during a self-evaluation task while undergoing functional magnetic resonance imaging. We modeled self-belief updating by incorporating a reinforcement learning model within the network structure. Participants learned more rapidly from positive than negative feedback and were less likely to change self-views for traits with more dependencies in the network. Further, participants back propagated feedback across network relations while retrieving prior feedback on the basis of network similarity to inform ongoing self-views. Activation in ventromedial prefrontal cortex (vmPFC) reflected the constrained updating process such that positive feedback led to higher activation and negative feedback to less activation for traits with more dependencies. Additionally, vmPFC was associated with the novelty of a trait relative to previously self-evaluated traits in the network, and angular gyrus was associated with greater certainty for self-beliefs given the relevance of prior feedback. We propose that neural computations that selectively enhance or attenuate social feedback and retrieve past relevant experiences to guide ongoing self-evaluations may support an overall positive and coherent self-concept.SIGNIFICANCE STATEMENT We humans experience social feedback throughout our lives, but we do not dispassionately incorporate feedback into our self-concept. The implications of feedback for our entire self-concept plays a role in how we either change or retain our prior self-beliefs. In a neuroimaging study, we find that people are less likely to change their beliefs from feedback when the feedback has broader implications for the self-concept. This resistance to change is reflected in processing in the ventromedial prefrontal cortex, a region that is central to self-referential and social cognition. These results are broadly applicable given the role that maintaining a positive and coherent self-concept plays in promoting mental health and development throughout the lifespan.
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Affiliation(s)
- Jacob J Elder
- Department of Psychology, University of California, Riverside, Riverside, California 92521
| | | | - Brent L Hughes
- Department of Psychology, University of California, Riverside, Riverside, California 92521
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44
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Hu AM, Huang CY, He JG, Wu L. Effect of repetitive transcranial magnetic stimulation combined with transcranial direct current stimulation on post-stroke dysmnesia: A preliminary study. Clin Neurol Neurosurg 2023; 231:107797. [PMID: 37263069 DOI: 10.1016/j.clineuro.2023.107797] [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: 01/25/2023] [Revised: 05/19/2023] [Accepted: 05/21/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE This study examined the effect of repetitive transcranial magnetic stimulation (rTMS) combined with transcranial direct current stimulation (tDCS) as a bimodal neuromodulatory approach for post-stroke dysmnesia. METHODS Thirty-four patients with post-stroke dysmnesia were randomly allocated into a sham group treated with neither rTMS nor tDCS, a group treated with rTMS, and a group treated with a combination of rTMS and tDCS. All three groups received cognitive rehabilitation training for 4 weeks. The memory function of each group before and after the intervention was assessed using the Montreal Cognitive Assessment (MoCA) and Rivermead Behavioral Memory Test (RBMT) scales, as well as in terms of the Mismatch Negativity(MMN)and P300 of event-related potentials. RESULTS The sham, rTMS, and rTMS-tDCS groups all showed improvement in the total MoCA score after the intervention. Delayed recall, a MoCA item, scored better in the rTMS-tDCS group than in the rTMS and sham groups. Delayed processing, an RBMT item, scored better in the rTMS-tDCS combination group than in the rTMS and sham groups. MMN and P300 latency was significantly shorter in the rTMS-tDCS combination group. CONCLUSION rTMS-tDCS bimodal stimulation was more effective than cognitive rehabilitation or rTMS alone in treating patients with post-stroke dysmnesia, offering new possibilities for enhancing cognitive function and treating post-stroke dysmnesia.
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Affiliation(s)
- An-Ming Hu
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Cui-Ying Huang
- Affiliated Hospital of Jining Medical University, Shandong 272007, China
| | - Jian-Gen He
- Beijing Xiaotangshan Hospital, Beijing 102211, China
| | - Liang Wu
- Beijing Xiaotangshan Hospital, Beijing 102211, China.
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45
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Li M, Lu Y, Zhou X. The involvement of the semantic neural network in rule identification of mathematical processing. Cortex 2023; 164:11-20. [PMID: 37148824 DOI: 10.1016/j.cortex.2023.03.010] [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: 04/28/2022] [Revised: 02/15/2023] [Accepted: 03/30/2023] [Indexed: 05/08/2023]
Abstract
The role of the visuospatial network in mathematical processing has been established, but the involvement of the semantic network in mathematical processing is still poorly understood. The current study utilized a number series completion paradigm with the event-related potential (ERP) technique to examine whether the semantic network supports mathematical processing and to find the corresponding spatiotemporal neural marker. In total, 32 right-handed undergraduate students were recruited and asked to complete the number series completion as well as the arithmetical computation task in which numbers were presented in sequence. The event-related potential and multi-voxel pattern analysis showed that the rule identification process involves more semantic processing when compared with the arithmetical computation processes, and it elicited higher amplitudes for the late negative component (LNC) in left frontal and temporal lobes. These results demonstrated that the semantic network supports the rule identification in mathematical processing, with the LNC acting as the neural marker.
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Affiliation(s)
- Mengyi Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Research Association for Brain and Mathematical Learning, Beijing Normal University, Beijing, China
| | - Yujie Lu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Research Association for Brain and Mathematical Learning, Beijing Normal University, Beijing, China
| | - Xinlin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Research Association for Brain and Mathematical Learning, Beijing Normal University, Beijing, China.
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46
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Rahimi S, Jackson R, Farahibozorg SR, Hauk O. Time-Lagged Multidimensional Pattern Connectivity (TL-MDPC): An EEG/MEG pattern transformation based functional connectivity metric. Neuroimage 2023; 270:119958. [PMID: 36813063 PMCID: PMC10030313 DOI: 10.1016/j.neuroimage.2023.119958] [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: 09/15/2022] [Revised: 01/16/2023] [Accepted: 02/19/2023] [Indexed: 02/23/2023] Open
Abstract
Functional and effective connectivity methods are essential to study the complex information flow in brain networks underlying human cognition. Only recently have connectivity methods begun to emerge that make use of the full multidimensional information contained in patterns of brain activation, rather than unidimensional summary measures of these patterns. To date, these methods have mostly been applied to fMRI data, and no method allows vertex-to-vertex transformations with the temporal specificity of EEG/MEG data. Here, we introduce time-lagged multidimensional pattern connectivity (TL-MDPC) as a novel bivariate functional connectivity metric for EEG/MEG research. TL-MDPC estimates the vertex-to-vertex transformations among multiple brain regions and across different latency ranges. It determines how well patterns in ROI X at time point tx can linearly predict patterns of ROI Y at time point ty. In the present study, we use simulations to demonstrate TL-MDPC's increased sensitivity to multidimensional effects compared to a unidimensional approach across realistic choices of number of trials and signal-to-noise ratios. We applied TL-MDPC, as well as its unidimensional counterpart, to an existing dataset varying the depth of semantic processing of visually presented words by contrasting a semantic decision and a lexical decision task. TL-MDPC detected significant effects beginning very early on, and showed stronger task modulations than the unidimensional approach, suggesting that it is capable of capturing more information. With TL-MDPC only, we observed rich connectivity between core semantic representation (left and right anterior temporal lobes) and semantic control (inferior frontal gyrus and posterior temporal cortex) areas with greater semantic demands. TL-MDPC is a promising approach to identify multidimensional connectivity patterns, typically missed by unidimensional approaches.
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Affiliation(s)
- Setareh Rahimi
- MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF United Kingdom.
| | - Rebecca Jackson
- Department of Psychology & York Biomedical Research Institute, University of York, United Kingdom; MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF United Kingdom
| | - Seyedeh-Rezvan Farahibozorg
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Olaf Hauk
- MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF United Kingdom
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47
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Ovando-Tellez M, Kenett YN, Benedek M, Bernard M, Belo J, Beranger B, Bieth T, Volle E. Brain Connectivity-Based Prediction of Combining Remote Semantic Associates for Creative Thinking. CREATIVITY RESEARCH JOURNAL 2023. [DOI: 10.1080/10400419.2023.2192563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Affiliation(s)
- Marcela Ovando-Tellez
- Sorbonne University, FrontLab at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
| | - Yoed N. Kenett
- Faculty of Data and Decision Sciences, Technion – Israel Institute of Technology,Haifa Israel
| | | | - Matthieu Bernard
- Sorbonne University, FrontLab at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
| | - Joan Belo
- Sorbonne University, FrontLab at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
| | - Benoit Beranger
- Sorbonne University, CENIR at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
| | - Theophile Bieth
- Sorbonne University, FrontLab at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
- Neurology department, Pitié-Salpêtrière hospital, AP-HP, Paris, France
| | - Emmanuelle Volle
- Sorbonne University, FrontLab at Paris Brain Institute (ICM), INSERM, CNRS, Paris, France
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48
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Heo J, Yi K, Hong J, Kim C. The role of the prefrontal cortex in semantic control for selecting weakly associated meanings in creative idea generation. Neurosci Lett 2023; 802:137177. [PMID: 36907264 DOI: 10.1016/j.neulet.2023.137177] [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: 10/22/2022] [Revised: 02/10/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023]
Abstract
Although semantic control is known to play a critical role in selecting weakly associated representations for creative idea generation, direct evidence for this is still lacking. The current study aimed to reveal the role of brain regions, including the inferior frontal gyrus (IFG), medial frontal gyrus (MFG), and inferior parietal lobule (IPL), previously reported to be associated with creative idea generation. For this purpose, a functional MRI experiment with a newly developed category judgment task was conducted, which required participants to judge whether two words belonged to the same category. Importantly, weakly associated meanings were manipulated by the task condition, which required selecting an unused meaning of the homonym in a preceding semantic context. The results showed that the selection of a weakly associated meaning for a homonym was associated with an increased activation of the IFG and MFG and a decreased activation of the IPL. These results suggest that IFG and MFG contribute to semantic control processes recruited for the selection of weakly associated meanings and self-guided retrieval, whereas IPL appears to be unrelated to the control demand for creative idea generation.
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Affiliation(s)
- Juyeon Heo
- Department of Psychology, Kyungpook National University, Daegu 41566, South Korea
| | - Kyongmyon Yi
- Department of Psychology, Kyungpook National University, Daegu 41566, South Korea
| | - Jiyun Hong
- Department of Psychology, Kyungpook National University, Daegu 41566, South Korea
| | - Chobok Kim
- Department of Psychology, Kyungpook National University, Daegu 41566, South Korea.
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49
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Nappo R, Galati G, Bureca I, Romani C. Semantic interference and facilitation in picture naming: The effects of type of impairment and compensatory strategies. Cogn Neuropsychol 2023; 39:325-355. [DOI: 10.1080/02643294.2023.2189004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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50
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Cacciaglia R, Operto G, Falcón C, de Echavarri-Gómez JMG, Sánchez-Benavides G, Brugulat-Serrat A, Milà-Alomà M, Blennow K, Zetterberg H, Molinuevo JL, Suárez-Calvet M, Gispert JD. Genotypic effects of APOE-ε4 on resting-state connectivity in cognitively intact individuals support functional brain compensation. Cereb Cortex 2023; 33:2748-2760. [PMID: 35753703 PMCID: PMC10016049 DOI: 10.1093/cercor/bhac239] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/20/2022] [Accepted: 05/21/2022] [Indexed: 11/12/2022] Open
Abstract
The investigation of resting-state functional connectivity (rsFC) in asymptomatic individuals at genetic risk for Alzheimer's disease (AD) enables discovering the earliest brain alterations in preclinical stages of the disease. The APOE-ε4 variant is the major genetic risk factor for AD, and previous studies have reported rsFC abnormalities in carriers of the ε4 allele. Yet, no study has assessed APOE-ε4 gene-dose effects on rsFC measures, and only a few studies included measures of cognitive performance to aid a clinical interpretation. We assessed the impact of APOE-ε4 on rsFC in a sample of 429 cognitively unimpaired individuals hosting a high number of ε4 homozygotes (n = 58), which enabled testing different models of genetic penetrance. We used independent component analysis and found a reduced rsFC as a function of the APOE-ε4 allelic load in the temporal default-mode and the medial temporal networks, while recessive effects were found in the extrastriate and limbic networks. Some of these results were replicated in a subsample with negative amyloid markers. Interaction with cognitive data suggests that such a network reorganization may support cognitive performance in the ε4-homozygotes. Our data indicate that APOE-ε4 shapes the functional architecture of the resting brain and favor the idea of a network-based functional compensation.
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Affiliation(s)
- Raffaele Cacciaglia
- Corresponding author: Raffaele Cacciaglia and Juan Domingo Gispert López, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain. ;
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
| | - Carles Falcón
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBERBBN), 28089 Madrid, Spain
| | - José Maria González de Echavarri-Gómez
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
| | - Marta Milà-Alomà
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
- Universitat Pompeu Fabra, 08002 Barcelona, Spain
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, 41390 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 41390 Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, 41390 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 41390 Mölndal, Sweden
- UK Dementia Research Institute at UCL, WC1E 6BT London, United Kingdom
- Department of Neurodegenerative Disease, UCL Institute of Neurology, WC1N 3BG London, United Kingdom
- Honk Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | | | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08005 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28089 Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Juan Domingo Gispert
- Corresponding author: Raffaele Cacciaglia and Juan Domingo Gispert López, Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005 Barcelona, Spain. ;
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