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Vandewouw MM, Norris-Brilliant A, Rahman A, Assimopoulos S, Morton SU, Kushki A, Cunningham S, King E, Goldmuntz E, Miller TA, Thomas NH, Adams HR, Cleveland J, Cnota JF, Ellen Grant P, Goldberg CS, Huang H, Li JS, McQuillen P, Porter GA, Roberts AE, Russell MW, Seidman CE, Tivarus ME, Chung WK, Hagler DJ, Newburger JW, Panigrahy A, Lerch JP, Gelb BD, Anagnostou E. Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. Neuroimage 2024; 297:120721. [PMID: 38968977 DOI: 10.1016/j.neuroimage.2024.120721] [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: 04/05/2024] [Revised: 06/18/2024] [Accepted: 07/03/2024] [Indexed: 07/07/2024] Open
Abstract
Individuals with congenital heart disease (CHD) have an increased risk of neurodevelopmental impairments. Given the hypothesized complexity linking genomics, atypical brain structure, cardiac diagnoses and their management, and neurodevelopmental outcomes, unsupervised methods may provide unique insight into neurodevelopmental variability in CHD. Using data from the Pediatric Cardiac Genomics Consortium Brain and Genes study, we identified data-driven subgroups of individuals with CHD from measures of brain structure. Using structural magnetic resonance imaging (MRI; N=93; cortical thickness, cortical volume, and subcortical volume), we identified subgroups that differed primarily on cardiac anatomic lesion and language ability. In contrast, using diffusion MRI (N=88; white matter connectivity strength), we identified subgroups that were characterized by differences in associations with rare genetic variants and visual-motor function. This work provides insight into the differential impacts of cardiac lesions and genomic variation on brain growth and architecture in patients with CHD, with potentially distinct effects on neurodevelopmental outcomes.
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Affiliation(s)
- Marlee M Vandewouw
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, CAN; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, CAN.
| | | | - Anum Rahman
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, CAN; Translational Medicine, The Hospital for Sick Children, Toronto, ON, CAN; Department of Medical Biophysics, University of Toronto, Toronto, ON, CAN
| | - Stephania Assimopoulos
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, CAN; Department of Medical Biophysics, University of Toronto, Toronto, ON, CAN
| | - Sarah U Morton
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Azadeh Kushki
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, CAN; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, CAN
| | - Sean Cunningham
- Department of Pediatrics, Division of General Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Eileen King
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Centre, Cincinnati, OH, USA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas A Miller
- Department of Pediatrics, Maine Medical Center, Portland, ME, USA
| | - Nina H Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Heather R Adams
- Departments of Neurology and Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - John Cleveland
- Departments of Surgery and Pediatrics, Keck School of Medicine, University of Southern California, LA, USA
| | - James F Cnota
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA; Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - P Ellen Grant
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Radiology, Boston Children's Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Caren S Goldberg
- Department of Pediatrics, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA
| | - Hao Huang
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer S Li
- Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
| | - Patrick McQuillen
- Departments of Pediatrics and Neurology, University of California San Francisco, San Francisco, CA, USA
| | - George A Porter
- Departments of Neurology and Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Amy E Roberts
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Cardiology, Boston Children's Hospital, Boston, MA USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Mark W Russell
- Department of Pediatrics, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA
| | - Christine E Seidman
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Madalina E Tivarus
- Department of Imaging Sciences and Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California San Diego, USA; Department of Radiology, School of Medicine, University of California San Diego, USA; Departments of Cognitive Science and Neuroscience, University of California San Diego, USA
| | - Jane W Newburger
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Cardiology, Boston Children's Hospital, Boston, MA USA
| | - Ashok Panigrahy
- Department of Pediatric Radiology, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Jason P Lerch
- Department of Medical Biophysics, University of Toronto, Toronto, ON, CAN; Program in Neurosciences & Mental Health, The Hospital for Sick Children, Toronto, ON, CAN; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Bruce D Gelb
- Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Evdokia Anagnostou
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, CAN; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Institute of Medical Science, University of Toronto, Toronto, ON, CAN
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Arheix-Parras S, Franco J, Siklafidou IP, Villain M, Rogue C, Python G, Glize B. Neuromodulation of the Right Motor Cortex of the Lips With Repetitive Transcranial Magnetic Stimulation to Reduce Phonological Impairment and Improve Naming in Three Persons With Aphasia: A Single-Case Experimental Design. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2024; 33:2023-2040. [PMID: 38875479 DOI: 10.1044/2024_ajslp-23-00215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
PURPOSE Repetitive transcranial magnetic stimulation (rTMS) can enhance aphasia recovery. Most studies have used inhibitory stimulation targeting the right inferior frontal gyrus. However, the motor cortex, observed to contribute to the prediction of aphasia recovery, is involved in word production and could be an appropriate target for rTMS. We aimed to observe behavioral changes in a picture naming task induced by inhibitory rTMS targeting the right motor cortex of the lips in people with poststroke aphasia. METHOD Using a single-case experimental design, we included three participants with chronic poststroke aphasia who had phonological deficits. Each participant performed a verbal picture naming task 3 times a week for 2, 3, or 4 weeks (pseudorandom across participants) to establish a baseline naming ability for each participant. These were not therapy sessions, and no feedback was provided. Then, each participant received the intervention, inhibitory continuous theta burst stimulation targeting the right motor cortex of the lips, 3 times a week for 2 weeks. Naming testing continued 3 times a week, for these latter 2 weeks. No therapy was performed at any time during the study. RESULTS Visual analysis of the graphs showed a positive effect of rTMS for P2 and P3 on picture naming accuracy and a tendency toward improvement for P1. Statistical analysis showed an improvement after rTMS for P1 (τ = 0.544, p = .013, SETau = 0.288) and P2 (τ = 0.708, p = .001, SETau = 0.235). For P3, even if the intervention allowed some improvement, this was statistically nonsignificant due to a learning effect during the baseline naming testing, which lasted the longest, 4 weeks. Regarding specific language features, phonological errors significantly decreased in all patients. CONCLUSIONS The motor cortex of the lips could be an appropriate target for rTMS to improve naming in people with poststroke aphasia suffering from a phonological deficit. This suggests the possibility to individualize the target for rTMS, according to the patient's linguistic impairment.
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Affiliation(s)
- Sophie Arheix-Parras
- ACTIVE Team, Bordeaux Population Health, University of Bordeaux, France
- Institut Universitaire des Sciences de la Réadaptation, University of Bordeaux, France
| | - Julie Franco
- Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland
| | | | - Marie Villain
- Department of Physical and Rehabilitation Medicine, AP-HP La Pitié Salpêtrière - Charles Foix University Hospital, France
- AP-HP, Handicap Moteur et Cognitif & Réadaptation, Sorbonne Université, Paris, France
- ICM, INSERM UMRS 1127, CNRS, UMR 7225, Brain and Spine Institute, Paris, France
| | - Caroline Rogue
- Department of Physical Medicine and Rehabilitation, Centre Hospitalier Universitaire de Bordeaux, France
| | - Grégoire Python
- Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital, Switzerland
| | - Bertrand Glize
- ACTIVE Team, Bordeaux Population Health, University of Bordeaux, France
- Institut Universitaire des Sciences de la Réadaptation, University of Bordeaux, France
- Department of Physical Medicine and Rehabilitation, Centre Hospitalier Universitaire de Bordeaux, France
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3
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Rangus I, Rios AS, Horn A, Fritsch M, Khalil A, Villringer K, Udke B, Ihrke M, Grittner U, Galinovic I, Al-Fatly B, Endres M, Kufner A, Nolte CH. Fronto-thalamic networks and the left ventral thalamic nuclei play a key role in aphasia after thalamic stroke. Commun Biol 2024; 7:700. [PMID: 38849518 PMCID: PMC11161613 DOI: 10.1038/s42003-024-06399-9] [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: 10/29/2023] [Accepted: 05/29/2024] [Indexed: 06/09/2024] Open
Abstract
Thalamic aphasia results from focal thalamic lesions that cause dysfunction of remote but functionally connected cortical areas due to language network perturbation. However, specific local and network-level neural substrates of thalamic aphasia remain incompletely understood. Using lesion symptom mapping, we demonstrate that lesions in the left ventrolateral and ventral anterior thalamic nucleus are most strongly associated with aphasia in general and with impaired semantic and phonemic fluency and complex comprehension in particular. Lesion network mapping (using a normative connectome based on fMRI data from 1000 healthy individuals) reveals a Thalamic aphasia network encompassing widespread left-hemispheric cerebral connections, with Broca's area showing the strongest associations, followed by the superior and middle frontal gyri, precentral and paracingulate gyri, and globus pallidus. Our results imply the critical involvement of the left ventrolateral and left ventral anterior thalamic nuclei in engaging left frontal cortical areas, especially Broca's area, during language processing.
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Affiliation(s)
- Ida Rangus
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany.
| | - Ana Sofia Rios
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
| | - Andreas Horn
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit experimenteller Neurologie, Movement Disorder and Neuromodulation Unit, Berlin, Germany
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Merve Fritsch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Psychiatrie und Psychotherapie, Berlin, Germany
| | - Ahmed Khalil
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
| | - Kersten Villringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
| | - Birgit Udke
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Audiologie und Phoniatrie, Berlin, Germany
| | - Manuela Ihrke
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Audiologie und Phoniatrie, Berlin, Germany
| | - Ulrike Grittner
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Biometrie und klinische Epidemiologie, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ivana Galinovic
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
| | - Bassam Al-Fatly
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit experimenteller Neurologie, Movement Disorder and Neuromodulation Unit, Berlin, Germany
| | - Matthias Endres
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Center for Cardiovascular Research (Deutsches Zentrum für Herz Kreislauferkrankungen, DZHK), Partner Site Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Cluster of Excellence, NeuroCure Clinical Research Center (NCRC), Berlin, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen, DZNE), Partner Site Berlin, Berlin, Germany
| | - Anna Kufner
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
| | - Christian H Nolte
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Stroke Research Berlin (CSB), Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Center for Cardiovascular Research (Deutsches Zentrum für Herz Kreislauferkrankungen, DZHK), Partner Site Berlin, Berlin, Germany
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4
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Wandelt SK, Bjånes DA, Pejsa K, Lee B, Liu C, Andersen RA. Representation of internal speech by single neurons in human supramarginal gyrus. Nat Hum Behav 2024; 8:1136-1149. [PMID: 38740984 PMCID: PMC11199147 DOI: 10.1038/s41562-024-01867-y] [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: 05/15/2023] [Accepted: 03/16/2024] [Indexed: 05/16/2024]
Abstract
Speech brain-machine interfaces (BMIs) translate brain signals into words or audio outputs, enabling communication for people having lost their speech abilities due to diseases or injury. While important advances in vocalized, attempted and mimed speech decoding have been achieved, results for internal speech decoding are sparse and have yet to achieve high functionality. Notably, it is still unclear from which brain areas internal speech can be decoded. Here two participants with tetraplegia with implanted microelectrode arrays located in the supramarginal gyrus (SMG) and primary somatosensory cortex (S1) performed internal and vocalized speech of six words and two pseudowords. In both participants, we found significant neural representation of internal and vocalized speech, at the single neuron and population level in the SMG. From recorded population activity in the SMG, the internally spoken and vocalized words were significantly decodable. In an offline analysis, we achieved average decoding accuracies of 55% and 24% for each participant, respectively (chance level 12.5%), and during an online internal speech BMI task, we averaged 79% and 23% accuracy, respectively. Evidence of shared neural representations between internal speech, word reading and vocalized speech processes was found in participant 1. SMG represented words as well as pseudowords, providing evidence for phonetic encoding. Furthermore, our decoder achieved high classification with multiple internal speech strategies (auditory imagination/visual imagination). Activity in S1 was modulated by vocalized but not internal speech in both participants, suggesting no articulator movements of the vocal tract occurred during internal speech production. This work represents a proof-of-concept for a high-performance internal speech BMI.
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Affiliation(s)
- Sarah K Wandelt
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
- T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA.
| | - David A Bjånes
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA
| | - Kelsie Pejsa
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
| | - Brian Lee
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Department of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA
- USC Neurorestoration Center, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Charles Liu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA
- Department of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA
- USC Neurorestoration Center, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Richard A Andersen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA, USA
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Zhang W, Jiang M, Teo KAC, Bhuvanakantham R, Fong L, Sim WKJ, Guo Z, Foo CHV, Chua RHJ, Padmanabhan P, Leong V, Lu J, Gulyás B, Guan C. Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous EEG-fMRI study. Neuroimage 2024; 293:120629. [PMID: 38697588 DOI: 10.1016/j.neuroimage.2024.120629] [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: 12/05/2023] [Revised: 04/17/2024] [Accepted: 04/29/2024] [Indexed: 05/05/2024] Open
Abstract
Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.
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Affiliation(s)
- Wei Zhang
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Muyun Jiang
- School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | - Kok Ann Colin Teo
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; IGP-Neuroscience, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore; Division of Neurosurgery, National University Health System, Singapore
| | - Raghavan Bhuvanakantham
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - LaiGuan Fong
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore
| | - Wei Khang Jeremy Sim
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; IGP-Neuroscience, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore
| | - Zhiwei Guo
- School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | | | | | - Parasuraman Padmanabhan
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Victoria Leong
- Division of Psychology, Nanyang Technological University, Singapore; Department of Pediatrics, University of Cambridge, United Kingdom
| | - Jia Lu
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; DSO National Laboratories, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Balázs Gulyás
- Cognitive Neuroimaging Centre, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Cuntai Guan
- School of Computer Science and Engineering, Nanyang Technological University, Singapore.
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Fedorenko E, Ivanova AA, Regev TI. The language network as a natural kind within the broader landscape of the human brain. Nat Rev Neurosci 2024; 25:289-312. [PMID: 38609551 DOI: 10.1038/s41583-024-00802-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2024] [Indexed: 04/14/2024]
Abstract
Language behaviour is complex, but neuroscientific evidence disentangles it into distinct components supported by dedicated brain areas or networks. In this Review, we describe the 'core' language network, which includes left-hemisphere frontal and temporal areas, and show that it is strongly interconnected, independent of input and output modalities, causally important for language and language-selective. We discuss evidence that this language network plausibly stores language knowledge and supports core linguistic computations related to accessing words and constructions from memory and combining them to interpret (decode) or generate (encode) linguistic messages. We emphasize that the language network works closely with, but is distinct from, both lower-level - perceptual and motor - mechanisms and higher-level systems of knowledge and reasoning. The perceptual and motor mechanisms process linguistic signals, but, in contrast to the language network, are sensitive only to these signals' surface properties, not their meanings; the systems of knowledge and reasoning (such as the system that supports social reasoning) are sometimes engaged during language use but are not language-selective. This Review lays a foundation both for in-depth investigations of these different components of the language processing pipeline and for probing inter-component interactions.
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Affiliation(s)
- Evelina Fedorenko
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- The Program in Speech and Hearing in Bioscience and Technology, Harvard University, Cambridge, MA, USA.
| | - Anna A Ivanova
- School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA
| | - Tamar I Regev
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
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7
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Liu YF, Wilson C, Bedny M. Contribution of the language network to the comprehension of Python programming code. BRAIN AND LANGUAGE 2024; 251:105392. [PMID: 38387220 DOI: 10.1016/j.bandl.2024.105392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/24/2024]
Abstract
Does the perisylvian language network contribute to comprehension of programming languages, like Python? Univariate neuroimaging studies find high responses to code in fronto-parietal executive areas but not in fronto-temporal language areas, suggesting the language network does little. We used multivariate-pattern-analysis to test whether the language network encodes Python functions. Python programmers read functions while undergoing fMRI. A linear SVM decoded for-loops from if-conditionals based on activity in lateral temporal (LT) language cortex. In searchlight analysis, decoding accuracy was higher in LT language cortex than anywhere else. Follow up analysis showed that decoding was not driven by presence of different words across functions, "for" vs "if," but by compositional program properties. Finally, univariate responses to code peaked earlier in LT language-cortex than in the fronto-parietal network. We propose that the language system forms initial "surface meaning" representations of programs, which input to the reasoning network for processing of algorithms.
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Affiliation(s)
- Yun-Fei Liu
- Department of Psychological and Brain Sciences, Johns Hopkins Universtiy, 232 Ames Hall, 3400 N. Charles Street, Baltimore, MD 21218, USA.
| | - Colin Wilson
- Department of Cognitive Science, Johns Hopkins University, 237 Krieger Hall, 3400 N. Charles Street, Baltimore, MD 21218, USA
| | - Marina Bedny
- Department of Psychological and Brain Sciences, Johns Hopkins Universtiy, 232 Ames Hall, 3400 N. Charles Street, Baltimore, MD 21218, USA
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Gnedykh D, Tsvetova D, Mkrtychian N, Blagovechtchenski E, Kostromina S, Shtyrov Y. tDCS of right-hemispheric Wernicke's area homologue affects contextual learning of novel lexicon. Neurobiol Learn Mem 2024; 210:107905. [PMID: 38403010 DOI: 10.1016/j.nlm.2024.107905] [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: 03/11/2023] [Revised: 11/01/2023] [Accepted: 02/21/2024] [Indexed: 02/27/2024]
Abstract
Numerous studies have shown robust evidence of the right hemisphere's involvement in the language function, for instance in the processing of intonation, grammar, word meanings, metaphors, etc. However, its role in lexicon acquisition remains obscure. We applied transcranial direct current stimulation (tDCS) over the right-hemispheric homologue of Wernicke's area to assess its putative involvement in the processing of different types of novel semantics. After receiving 15 min of anodal, cathodal, or sham (placebo) tDCS, three groups of healthy participants learnt novel concrete and abstract words in the context of short stories. Learning outcomes were assessed using a battery of tests immediately after this contextual learning session and 24 h later. As a result, an inhibitory effect of cathodal tDCS and a facilitatory effect of anodal tDCS were found for abstract word acquisition only. We also found a significant drop in task performance on the second day of the assessment for both word types in all the stimulation groups, suggesting no significant influence of tDCS on the post-learning consolidation of new memory traces. The results suggest an involvement of Wernicke's right-hemispheric counterpart in initial encoding (but not consolidation) of abstract semantics, which may be explained either by the right hemispheres direct role in processing lexical semantics or by an indirect impact of tDCS on contralateral (left-hemispheric) cortical areas through cross-callosal connections.
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Affiliation(s)
- Daria Gnedykh
- Laboratory of Behavioural Neurodynamics, St. Petersburg State University, 199034 St. Petersburg, Russia; Department of Psychology, St. Petersburg State University, 199034 St. Petersburg, Russia.
| | - Diana Tsvetova
- Laboratory of Behavioural Neurodynamics, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Nadezhda Mkrtychian
- Laboratory of Behavioural Neurodynamics, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Evgeny Blagovechtchenski
- Laboratory of Behavioural Neurodynamics, St. Petersburg State University, 199034 St. Petersburg, Russia; Department of Psychology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Svetlana Kostromina
- Laboratory of Behavioural Neurodynamics, St. Petersburg State University, 199034 St. Petersburg, Russia; Department of Psychology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Yury Shtyrov
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
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9
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Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau CA, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. Nat Commun 2024; 15:2639. [PMID: 38531844 PMCID: PMC10966068 DOI: 10.1038/s41467-024-46784-w] [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: 05/22/2023] [Accepted: 03/11/2024] [Indexed: 03/28/2024] Open
Abstract
Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We designed a pattern-learning approach to dissect the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior data fusion highlights the consequences of genetically controlled brain lateralization on uniquely human cognitive capacities.
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Affiliation(s)
- Jakub Kopal
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Kimia Shafighi
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Karin Saltoun
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Clara A Moreau
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | | | | | - Zohra Saci
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Nadine Younis
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Khadije Jizi
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Alexis Beauchamp-Chatel
- Institut universitaire en santé mentale de Montréal, University of Montréal, Montréal, Canada
- Department of Psychiatry, University of Montreal, Montréal, Canada
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Robert Zatorre
- International Laboratory for Brain, Music and Sound Research, Montreal, QC, Canada
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
- Department of Pediatrics, University of Montréal, Montréal, Quebec, Canada
| | - Danilo Bzdok
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada.
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada.
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10
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Li X, Liu H, Zhang T. Resting-state functional MRI study of conventional MRI-negative intractable epilepsy in children. Front Hum Neurosci 2024; 18:1337294. [PMID: 38510512 PMCID: PMC10951396 DOI: 10.3389/fnhum.2024.1337294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 02/19/2024] [Indexed: 03/22/2024] Open
Abstract
Objective The study aimed at investigating functional connectivity strength (FCS) changes in children with MRI-negative intractable epilepsy (ITE) and evaluating correlations between aberrant FCS and both disease duration and intelligence quotient (IQ). Methods Fifteen children with ITE, 24 children with non-intractable epilepsy (nITE) and 25 matched healthy controls (HCs) were subjected to rs-fMRI. IQ was evaluated by neuropsychological assessment. Voxelwise analysis of covariance was conducted in the whole brain, and then pairwise comparisons were made across three groups using Bonferroni corrections. Results FCS was significantly different among three groups. Relative to HCs, ITE patients exhibited decreased FCS in right temporal pole of the superior temporal gyrus, middle temporal gyrus, bilateral precuneus, etc and increased FCS values in left triangular part of the inferior frontal gyrus, parahippocampal gyrus, supplementary motor area, caudate and right calcarine fissure and surrounding cortex and midbrain. The nITE patients presented decreased FCS in right orbital superior frontal gyrus, precuneus etc and increased FCS in bilateral fusiform gyri, parahippocampal gyri, etc. In comparison to nITE patients, the ITE patients presented decreased FCS in right medial superior frontal gyrus and left inferior temporal gyrus and increased FCS in right middle temporal gyrus, inferior temporal gyrus and calcarine fissure and surrounding cortex. Correlation analysis indicated that FCS in left caudate demonstrated correlation with verbal IQ (VIQ) and disease duration. Conclusion ITE patients demonstrated changed FCS values in the temporal and prefrontal cortices relative to nITE patients, which may be related to drug resistance in epilepsy. FCS in the left caudate nucleus associated with VIQ, suggesting the caudate may become a key target for improving cognitive impairment and seizures in children with ITE.
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Affiliation(s)
| | - Heng Liu
- Department of Radiology, Medical Imaging Center, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Tijiang Zhang
- Department of Radiology, Medical Imaging Center, Affiliated Hospital of Zunyi Medical University, Zunyi, China
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11
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Regev TI, Kim HS, Chen X, Affourtit J, Schipper AE, Bergen L, Mahowald K, Fedorenko E. High-level language brain regions process sublexical regularities. Cereb Cortex 2024; 34:bhae077. [PMID: 38494886 DOI: 10.1093/cercor/bhae077] [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: 08/12/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 03/19/2024] Open
Abstract
A network of left frontal and temporal brain regions supports language processing. This "core" language network stores our knowledge of words and constructions as well as constraints on how those combine to form sentences. However, our linguistic knowledge additionally includes information about phonemes and how they combine to form phonemic clusters, syllables, and words. Are phoneme combinatorics also represented in these language regions? Across five functional magnetic resonance imaging experiments, we investigated the sensitivity of high-level language processing brain regions to sublexical linguistic regularities by examining responses to diverse nonwords-sequences of phonemes that do not constitute real words (e.g. punes, silory, flope). We establish robust responses in the language network to visually (experiment 1a, n = 605) and auditorily (experiments 1b, n = 12, and 1c, n = 13) presented nonwords. In experiment 2 (n = 16), we find stronger responses to nonwords that are more well-formed, i.e. obey the phoneme-combinatorial constraints of English. Finally, in experiment 3 (n = 14), we provide suggestive evidence that the responses in experiments 1 and 2 are not due to the activation of real words that share some phonology with the nonwords. The results suggest that sublexical regularities are stored and processed within the same fronto-temporal network that supports lexical and syntactic processes.
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Affiliation(s)
- Tamar I Regev
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Hee So Kim
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Xuanyi Chen
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Cognitive Sciences, Rice University, Houston, TX 77005, United States
| | - Josef Affourtit
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Abigail E Schipper
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - Leon Bergen
- Department of Linguistics, University of California San Diego, San Diego CA 92093, United States
| | - Kyle Mahowald
- Department of Linguistics, University of Texas at Austin, Austin, TX 78712, United States
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- The Harvard Program in Speech and Hearing Bioscience and Technology, Boston, MA 02115, United States
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12
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Trumpp NM, Ulrich M, Kiefer M. Experiential grounding of abstract concepts: Processing of abstract mental state concepts engages brain regions involved in mentalizing, automatic speech, and lip movements. Neuroimage 2024; 288:120539. [PMID: 38342187 DOI: 10.1016/j.neuroimage.2024.120539] [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: 11/16/2023] [Revised: 01/22/2024] [Accepted: 02/09/2024] [Indexed: 02/13/2024] Open
Abstract
concepts like mental state concepts lack a physical referent, which can be directly perceived. Classical theories therefore claim that abstract concepts require amodal representations detached from experiential brain systems. However, grounded cognition approaches suggest an involvement of modal experiential brain regions in the processing of abstract concepts. In the present functional magnetic resonance imaging study, we investigated the relation of the processing of abstract mental state concepts to modal experiential brain systems in a fine-grained fashion. Participants performed lexical decisions on abstract mental state as well as on verbal association concepts as control category. Experiential brain systems related to the processing of mental states, generating verbal associations, automatic speech as well as hand and lip movements were determined by corresponding localizer tasks. Processing of abstract mental state concepts neuroanatomically overlapped with activity patterns associated with processing of mental states, generating verbal associations, automatic speech and lip movements. Hence, mental state concepts activate the mentalizing brain network, complemented by perceptual-motor brain regions involved in simulation of visual or action features associated with social interactions, linguistic brain regions as well as face-motor brain regions recruited for articulation. The present results provide compelling evidence for the rich grounding of abstract mental state concepts in experiential brain systems related to mentalizing, verbal communication and mouth action.
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Affiliation(s)
- Natalie M Trumpp
- Department of Psychiatry, Section for Cognitive Electrophysiology, Ulm University, Leimgrubenweg 12, Ulm D-89075, Germany.
| | - Martin Ulrich
- Department of Psychiatry, Section for Cognitive Electrophysiology, Ulm University, Leimgrubenweg 12, Ulm D-89075, Germany
| | - Markus Kiefer
- Department of Psychiatry, Section for Cognitive Electrophysiology, Ulm University, Leimgrubenweg 12, Ulm D-89075, Germany
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13
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Macoir J. Language Impairment in Vascular Dementia: A Clinical Review. J Geriatr Psychiatry Neurol 2024; 37:87-95. [PMID: 37551643 PMCID: PMC10802085 DOI: 10.1177/08919887231195225] [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] [Indexed: 08/09/2023]
Abstract
Vascular cognitive impairment (VCI) encompasses a wide range of conditions, including cognitive impairment associated with stroke or vascular brain injury, mild vascular cognitive impairment, and vascular dementia (VD). Knowledge of language impairment associated with VD is far less extensive than that of Alzheimer's disease. Although not prevalent in VD, impairment in language skills has been reported. A better understanding of the neurolinguistic features associated with the different presentations of VD could facilitate medical diagnosis. In this article, we report data on language impairment in VD, with particular attention to their primary or secondary functional origin. To better appreciate this functional origin, we also outline the main characteristics of impairment in other cognitive functions. Key elements that should be considered in the speech-language assessment of individuals with possible or proven VD are also highlighted.
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Affiliation(s)
- Joël Macoir
- Département de réadaptation, Faculté de médecine, Université Laval, Québec, QC, Canada
- Centre de Recherche CERVO – Brain Research Centre, Québec, QC, Canada
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14
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Crowley SJ, Iordan AD, Rinna K, Barmada S, Hampstead BM. Comparing high definition transcranial direct current stimulation to left temporoparietal junction and left inferior frontal gyrus for logopenic primary progressive aphasia: A single-case study. Neuropsychol Rehabil 2024:1-26. [PMID: 38358112 DOI: 10.1080/09602011.2024.2314878] [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: 03/23/2023] [Accepted: 11/18/2023] [Indexed: 02/16/2024]
Abstract
Logopenic variant primary progressive aphasia (lvPPA) is characterized by word-finding deficits and phonologic errors in fluent speech. Transcranial direct current stimulation (tDCS) targeting either left temporoparietal junction (TPJ) or left inferior frontal gyrus (IFG) show evidence of improving language function in lvPPA. The present case study evaluated the effects of two separate rounds of high definition tDCS (HD-tDCS) (4 mA; 30 sessions) on language and functional neuroimaging in a 57-year-old woman with lvPPA. Stimulation was centred on two different regions across rounds: (1) left TPJ, and (2) left (IFG). Results showed an improved proportion of content to floorholder words during a naturalistic speech task through both rounds as well as change in confrontation naming after TPJ (improvement) and IFG (worsened) stimulation. fMRI connectivity during task showed left lateralized positive correlations following round 1 and anti-correlations with components of the default mode network following round 2. Resting state segregation of a language-associated functional network increased following both rounds, and task-based segregation of the same network increased following IFG stimulation. These results suggest that stimulation to both regions using HD-tDCS may improve language function in lvPPA, while simultaneously eliciting widespread changes beyond the targeted area in neuronal activity and functional connectivity.
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Affiliation(s)
- Samuel J Crowley
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan Medicine, Ann Arbor, MI, USA
- Mental Health Service, Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Alexandru D Iordan
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan Medicine, Ann Arbor, MI, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Kayla Rinna
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan Medicine, Ann Arbor, MI, USA
- Department of Psychology, Eastern Michigan University, Ypsilanti, MI, USA
| | - Sami Barmada
- Department of Neurology, University of Michigan Medicine, Ann Arbor, MI, USA
| | - Benjamin M Hampstead
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan Medicine, Ann Arbor, MI, USA
- Mental Health Service, Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
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15
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Mamashli F, Khan S, Hatamimajoumerd E, Jas M, Uluç I, Lankinen K, Obleser J, Friederici AD, Maess B, Ahveninen J. Characterizing directional dynamics of semantic prediction based on inter-regional temporal generalization. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580183. [PMID: 38405823 PMCID: PMC10888763 DOI: 10.1101/2024.02.13.580183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
The event-related potential/field component N400(m) has been widely used as a neural index for semantic prediction. It has long been hypothesized that feedback information from inferior frontal areas plays a critical role in generating the N400. However, due to limitations in causal connectivity estimation, direct testing of this hypothesis has remained difficult. Here, magnetoencephalography (MEG) data was obtained during a classic N400 paradigm where the semantic predictability of a fixed target noun was manipulated in simple German sentences. To estimate causality, we implemented a novel approach based on machine learning and temporal generalization to estimate the effect of inferior frontal gyrus (IFG) on temporal areas. In this method, a support vector machine (SVM) classifier is trained on each time point of the neural activity in IFG to classify less predicted (LP) and highly predicted (HP) nouns and then tested on all time points of superior/middle temporal sub-regions activity (and vice versa, to establish spatio-temporal evidence for or against causality). The decoding accuracy was significantly above chance level when the classifier was trained on IFG activity and tested on future activity in superior and middle temporal gyrus (STG/MTG). The results present new evidence for a model predictive speech comprehension where predictive IFG activity is fed back to shape subsequent activity in STG/MTG, implying a feedback mechanism in N400 generation. In combination with the also observed strong feedforward effect from left STG/MTG to IFG, our findings provide evidence of dynamic feedback and feedforward influences between IFG and temporal areas during N400 generation.
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Affiliation(s)
- Fahimeh Mamashli
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
| | - Sheraz Khan
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
| | - Elaheh Hatamimajoumerd
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115
| | - Mainak Jas
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
| | - Işıl Uluç
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
| | - Kaisu Lankinen
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
| | - Jonas Obleser
- Department of Psychology, University of Lübeck, Lübeck 23562, Germany
| | - Angela D. Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
| | - Burkhard Maess
- MEG and Cortical Networks Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
| | - Jyrki Ahveninen
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02129
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16
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Valaei A, Bamdad S, Golfam A, Golmohammadi G, Ameri H, Raoufy MR. Examining resting state functional connectivity and frequency power analysis in adults who stutter compared to adults who do not stutter. Front Hum Neurosci 2024; 18:1338966. [PMID: 38375364 PMCID: PMC10875099 DOI: 10.3389/fnhum.2024.1338966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/18/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction Stuttering is a speech disorder characterized by impaired connections between brain regions involved in speech production. This study aimed to investigate functional connectivity and frequency power during rest in adults who stutter (AWS) compared to fluent adults (AWNS) in the dorsolateral prefrontal cortex (DLPFC), dorsolateral frontal cortex (DLFC), supplementary motor area (SMA), motor speech, angular gyrus (AG), and inferior temporal gyrus (ITG). Materials and methods Fifteen AWS (3 females, 12 males) and fifteen age- and sex-matched AWNS (3 females, 12 males) participated in this study. All participants were native Persian speakers. Stuttering severity in the AWS group was assessed using the Persian version of the Stuttering Severity Instrument Fourth Edition (SSI-4). Resting-state electroencephalography (EEG) was recorded for 5 min while participants sat comfortably with their eyes open. We analyzed frequency band power across various frequency bands and investigated functional connectivity within the specified speech region. Results Significant between-group differences were found in band powers including alpha, beta, delta, theta, and gamma, specifically in the premotor, SMA, motor speech, and frontal regions. AWS also showed increased coherence between the right motor speech region compared to controls. We demonstrate that the proposed hierarchical false discovery rate (FDR) method is the most effective for both simulations and experimental data. In the expected regions, this method revealed significant synchrony effects at an acceptable error rate of 5%. Conclusion The results highlight disrupted functional connectivity in AWS at resting state, particularly in speech-related and associated areas. Given the complex neurological basis of developmental stuttering, robust neural markers are closely linked to this phenomenon. These markers include imbalanced activity within brain regions associated with speech and motor functions, coupled with impaired functional connectivity between these regions. The cortico-basal ganglia-thalamo-cortical system governs the dynamic interplay between cortical regions, with SMA as a key cortical site. It is hypothesized that the aberrant resting state functional connectivity will impact the language planning and motor execution necessary for fluent speech. Examining resting-state metrics as biomarkers could further elucidate the neural underpinnings of stuttering and guide intervention.
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Affiliation(s)
- Atefeh Valaei
- Department of Linguistics, Tarbiat Modares University, Tehran, Iran
| | - Sobhan Bamdad
- Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
| | - Arsalan Golfam
- Department of Linguistics, Tarbiat Modares University, Tehran, Iran
| | - Golnoosh Golmohammadi
- Department of Speech Therapy, School of Rehabilitation Sciences, Semnan University of Medical Sciences, Semnan, Iran
| | - Hayat Ameri
- Department of Linguistics, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Reza Raoufy
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
- Institute for Brain Science and Cognition, Faculty of Medical Science, Tarbiat Modares University, Tehran, Iran
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17
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Liuzzi AG, Meersmans K, Peeters R, De Deyne S, Dupont P, Vandenberghe R. Semantic representations in inferior frontal and lateral temporal cortex during picture naming, reading, and repetition. Hum Brain Mapp 2024; 45:e26603. [PMID: 38339900 PMCID: PMC10836176 DOI: 10.1002/hbm.26603] [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: 06/06/2023] [Revised: 12/12/2023] [Accepted: 01/09/2024] [Indexed: 02/12/2024] Open
Abstract
Reading, naming, and repetition are classical neuropsychological tasks widely used in the clinic and psycholinguistic research. While reading and repetition can be accomplished by following a direct or an indirect route, pictures can be named only by means of semantic mediation. By means of fMRI multivariate pattern analysis, we evaluated whether this well-established fundamental difference at the cognitive level is associated at the brain level with a difference in the degree to which semantic representations are activated during these tasks. Semantic similarity between words was estimated based on a word association model. Twenty subjects participated in an event-related fMRI study where the three tasks were presented in pseudo-random order. Linear discriminant analysis of fMRI patterns identified a set of regions that allow to discriminate between words at a high level of word-specificity across tasks. Representational similarity analysis was used to determine whether semantic similarity was represented in these regions and whether this depended on the task performed. The similarity between neural patterns of the left Brodmann area 45 (BA45) and of the superior portion of the left supramarginal gyrus correlated with the similarity in meaning between entities during picture naming. In both regions, no significant effects were seen for repetition or reading. The semantic similarity effect during picture naming was significantly larger than the similarity effect during the two other tasks. In contrast, several regions including left anterior superior temporal gyrus and left ventral BA44/frontal operculum, among others, coded for semantic similarity in a task-independent manner. These findings provide new evidence for the dynamic, task-dependent nature of semantic representations in the left BA45 and a more task-independent nature of the representational activation in the lateral temporal cortex and ventral BA44/frontal operculum.
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Affiliation(s)
- Antonietta Gabriella Liuzzi
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Ronald Peeters
- Radiology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
| | - Simon De Deyne
- School of Psychological SciencesUniversity of MelbourneMelbourneAustralia
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
- Neurology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
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18
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Mizrachi N, Eviatar Z, Peleg O, Bitan T. Inter- and intra- hemispheric interactions in reading ambiguous words. Cortex 2024; 171:257-271. [PMID: 38048664 DOI: 10.1016/j.cortex.2023.09.022] [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: 10/07/2022] [Revised: 06/29/2023] [Accepted: 09/20/2023] [Indexed: 12/06/2023]
Abstract
The present study investigated how the brain processes words with multiple meanings. Specifically, we examined the inter- and intra-hemispheric connectivity of unambiguous words compared to two types of ambiguous words: homophonic homographs, which have multiple meanings mapped to a single phonological representation and orthography, and heterophonic homographs, which have multiple meanings mapped to different phonological representations but the same orthography. Using a semantic relatedness judgment task and effective connectivity analysis via Dynamic Causal Modeling (DCM) on previously published fMRI data (Bitan et al., 2017), we found that the two hemispheres compete in orthographic processing during the reading of unambiguous words. For heterophonic homographs, we observed increased connectivity within the left hemisphere, highlighting the importance of top-down re-activation of orthographic representations by phonological ones for considering alternative meanings. For homophonic homographs, we found a flow of information from the left to the right hemisphere and from the right to the left, indicating that the brain retrieves different meanings using different pathways. These findings provide novel insights into the complex mechanisms involved in language processing and shed light on the different communication patterns within and between hemispheres during the processing of ambiguous and unambiguous words.
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Affiliation(s)
- Nofar Mizrachi
- Psychology Department, Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.
| | - Zohar Eviatar
- Psychology Department, Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.
| | - Orna Peleg
- The Program of Cognitive Studies of Language and Its Uses, and Sagol School of Neuroscience, Tel-Aviv University, Israel.
| | - Tali Bitan
- Psychology Department, Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Israel; Department of Speech Language Pathology and Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada.
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19
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Lei VLC, Leong TI, Leong CT, Liu L, Choi CU, Sereno MI, Li D, Huang R. Phase-encoded fMRI tracks down brainstorms of natural language processing with subsecond precision. Hum Brain Mapp 2024; 45:e26617. [PMID: 38339788 PMCID: PMC10858339 DOI: 10.1002/hbm.26617] [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: 07/14/2023] [Revised: 12/04/2023] [Accepted: 01/21/2024] [Indexed: 02/12/2024] Open
Abstract
Natural language processing unfolds information overtime as spatially separated, multimodal, and interconnected neural processes. Existing noninvasive subtraction-based neuroimaging techniques cannot simultaneously achieve the spatial and temporal resolutions required to visualize ongoing information flows across the whole brain. Here we have developed rapid phase-encoded designs to fully exploit the temporal information latent in functional magnetic resonance imaging data, as well as overcoming scanner noise and head-motion challenges during overt language tasks. We captured real-time information flows as coherent hemodynamic waves traveling over the cortical surface during listening, reading aloud, reciting, and oral cross-language interpreting tasks. We were able to observe the timing, location, direction, and surge of traveling waves in all language tasks, which were visualized as "brainstorms" on brain "weather" maps. The paths of hemodynamic traveling waves provide direct evidence for dual-stream models of the visual and auditory systems as well as logistics models for crossmodal and cross-language processing. Specifically, we have tracked down the step-by-step processing of written or spoken sentences first being received and processed by the visual or auditory streams, carried across language and domain-general cognitive regions, and finally delivered as overt speeches monitored through the auditory cortex, which gives a complete picture of information flows across the brain during natural language functioning. PRACTITIONER POINTS: Phase-encoded fMRI enables simultaneous imaging of high spatial and temporal resolution, capturing continuous spatiotemporal dynamics of the entire brain during real-time overt natural language tasks. Spatiotemporal traveling wave patterns provide direct evidence for constructing comprehensive and explicit models of human information processing. This study unlocks the potential of applying rapid phase-encoded fMRI to indirectly track the underlying neural information flows of sequential sensory, motor, and high-order cognitive processes.
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Affiliation(s)
- Victoria Lai Cheng Lei
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Arts and HumanitiesUniversity of MacauTaipaChina
| | - Teng Ieng Leong
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Arts and HumanitiesUniversity of MacauTaipaChina
| | - Cheok Teng Leong
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Science and TechnologyUniversity of MacauTaipaChina
| | - Lili Liu
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Science and TechnologyUniversity of MacauTaipaChina
| | - Chi Un Choi
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
| | - Martin I. Sereno
- Department of PsychologySan Diego State UniversitySan DiegoCaliforniaUSA
| | - Defeng Li
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Arts and HumanitiesUniversity of MacauTaipaChina
| | - Ruey‐Song Huang
- Centre for Cognitive and Brain SciencesUniversity of MacauTaipaChina
- Faculty of Science and TechnologyUniversity of MacauTaipaChina
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20
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Olson HA, Chen EM, Lydic KO, Saxe RR. Left-Hemisphere Cortical Language Regions Respond Equally to Observed Dialogue and Monologue. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2023; 4:575-610. [PMID: 38144236 PMCID: PMC10745132 DOI: 10.1162/nol_a_00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 09/20/2023] [Indexed: 12/26/2023]
Abstract
Much of the language we encounter in our everyday lives comes in the form of conversation, yet the majority of research on the neural basis of language comprehension has used input from only one speaker at a time. Twenty adults were scanned while passively observing audiovisual conversations using functional magnetic resonance imaging. In a block-design task, participants watched 20 s videos of puppets speaking either to another puppet (the dialogue condition) or directly to the viewer (the monologue condition), while the audio was either comprehensible (played forward) or incomprehensible (played backward). Individually functionally localized left-hemisphere language regions responded more to comprehensible than incomprehensible speech but did not respond differently to dialogue than monologue. In a second task, participants watched videos (1-3 min each) of two puppets conversing with each other, in which one puppet was comprehensible while the other's speech was reversed. All participants saw the same visual input but were randomly assigned which character's speech was comprehensible. In left-hemisphere cortical language regions, the time course of activity was correlated only among participants who heard the same character speaking comprehensibly, despite identical visual input across all participants. For comparison, some individually localized theory of mind regions and right-hemisphere homologues of language regions responded more to dialogue than monologue in the first task, and in the second task, activity in some regions was correlated across all participants regardless of which character was speaking comprehensibly. Together, these results suggest that canonical left-hemisphere cortical language regions are not sensitive to differences between observed dialogue and monologue.
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21
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Ding H, Hamel AP, Karjadi C, Ang TFA, Lu S, Thomas RJ, Au R, Lin H. Association Between Acoustic Features and Brain Volumes: the Framingham Heart Study. FRONTIERS IN DEMENTIA 2023; 2:1214940. [PMID: 38911669 PMCID: PMC11192548 DOI: 10.3389/frdem.2023.1214940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
Introduction Although brain magnetic resonance imaging (MRI) is a valuable tool for investigating structural changes in the brain associated with neurodegeneration, the development of non-invasive and cost-effective alternative methods for detecting early cognitive impairment is crucial. The human voice has been increasingly used as an indicator for effectively detecting cognitive disorders, but it remains unclear whether acoustic features are associated with structural neuroimaging. Methods This study aims to investigate the association between acoustic features and brain volume and compare the predictive power of each for mild cognitive impairment (MCI) in a large community-based population. The study included participants from the Framingham Heart Study (FHS) who had at least one voice recording and an MRI scan. Sixty-five acoustic features were extracted with the OpenSMILE software (v2.1.3) from each voice recording. Nine MRI measures were derived according to the FHS MRI protocol. We examined the associations between acoustic features and MRI measures using linear regression models adjusted for age, sex, and education. Acoustic composite scores were generated by combining acoustic features significantly associated with MRI measures. The MCI prediction ability of acoustic composite scores and MRI measures were compared by building random forest models and calculating the mean area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation. Results The study included 4,293 participants (age 57 ± 13 years, 53.9% women). During 9.3±3.7 years follow-up, 106 participants were diagnosed with MCI. Seven MRI measures were significantly associated with more than 20 acoustic features after adjusting for multiple testing. The acoustic composite scores can improve the AUC for MCI prediction to 0.794, compared to 0.759 achieved by MRI measures. Discussion We found multiple acoustic features were associated with MRI measures, suggesting the potential for using acoustic features as easily accessible digital biomarkers for the early diagnosis of MCI.
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Affiliation(s)
- Huitong Ding
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Alexander P Hamel
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Cody Karjadi
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ting F. A. Ang
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sophia Lu
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Robert J. Thomas
- Department of Medicine, Division of Pulmonary, Critical Care & Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rhoda Au
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Departments of Neurology and Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Honghuang Lin
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
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22
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Guan M, Xie Y, Li C, Zhang T, Ma C, Wang Z, Ma Z, Wang H, Fang P. Rich-club reorganization of white matter structural network in schizophrenia patients with auditory verbal hallucinations following 1 Hz rTMS treatment. Neuroimage Clin 2023; 40:103546. [PMID: 37988997 PMCID: PMC10701084 DOI: 10.1016/j.nicl.2023.103546] [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: 11/12/2023] [Revised: 11/17/2023] [Accepted: 11/17/2023] [Indexed: 11/23/2023]
Abstract
The human brain comprises a large-scale structural network of regions and interregional pathways, including a selectively defined set of highly central and interconnected hub regions, often referred to as the "rich club", which may play a pivotal role in the integrative processes of the brain. A quintessential symptom of schizophrenia, auditory verbal hallucinations (AVH) have shown a decrease in severity following low-frequency repetitive transcranial magnetic stimulation (rTMS). However, the underlying mechanism of rTMS in treating AVH remains elusive. This study investigated the effect of low-frequency rTMS on the rich-club organization within the brain in patients diagnosed with schizophrenia who experience AVH using diffusion tensor imaging data. Through by constructing structural connectivity networks, we identified several critical rich hub nodes, which constituted a rich-club subnetwork, predominantly located in the prefrontal cortices. Notably, our findings revealed enhanced connection strength and density within the rich-club subnetwork following rTMS treatment. Furthermore, we found that the decreased connectivity within the subnetwork components, including the rich-club subnetwork, was notably enhanced in patients following rTMS treatment. In particular, the increased connectivity strength of the right median superior frontal gyrus, which functions as a critical local bridge, with the right postcentral gyrus exhibited a significant correlation with improvements in both positive symptoms and AVH. These findings provide valuable insights into the role of rTMS in inducing reorganizational changes within the rich-club structural network in schizophrenia and shed light on potential mechanisms through which rTMS may alleviate AVH.
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Affiliation(s)
- Muzhen Guan
- Department of Mental Health, Xi'an Medical College, Xi'an, China.
| | - Yuanjun Xie
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Chenxi Li
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Tian Zhang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Chaozong Ma
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Zhongheng Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhujing Ma
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Peng Fang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China.
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23
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Abbott N, Love T. Bridging the Divide: Brain and Behavior in Developmental Language Disorder. Brain Sci 2023; 13:1606. [PMID: 38002565 PMCID: PMC10670267 DOI: 10.3390/brainsci13111606] [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: 09/15/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
Developmental language disorder (DLD) is a heterogenous neurodevelopmental disorder that affects a child's ability to comprehend and/or produce spoken and/or written language, yet it cannot be attributed to hearing loss or overt neurological damage. It is widely believed that some combination of genetic, biological, and environmental factors influences brain and language development in this population, but it has been difficult to bridge theoretical accounts of DLD with neuroimaging findings, due to heterogeneity in language impairment profiles across individuals and inconsistent neuroimaging findings. Therefore, the purpose of this overview is two-fold: (1) to summarize the neuroimaging literature (while drawing on findings from other language-impaired populations, where appropriate); and (2) to briefly review the theoretical accounts of language impairment patterns in DLD, with the goal of bridging the disparate findings. As will be demonstrated with this overview, the current state of the field suggests that children with DLD have atypical brain volume, laterality, and activation/connectivity patterns in key language regions that likely contribute to language difficulties. However, the precise nature of these differences and the underlying neural mechanisms contributing to them remain an open area of investigation.
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Affiliation(s)
- Noelle Abbott
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA 92182, USA;
- San Diego State University/University of California San Diego Joint Doctoral Program in Language and Communicative Disorders, San Diego, CA 92182, USA
| | - Tracy Love
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA 92182, USA;
- San Diego State University/University of California San Diego Joint Doctoral Program in Language and Communicative Disorders, San Diego, CA 92182, USA
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24
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Soshi T. Neural Coupling between Interhemispheric and Frontoparietal Functional Connectivity during Semantic Processing. Brain Sci 2023; 13:1601. [PMID: 38002560 PMCID: PMC10670303 DOI: 10.3390/brainsci13111601] [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: 09/09/2023] [Revised: 11/09/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
Interhemispheric and frontoparietal functional connectivity have been reported to increase during explicit information processing. However, it is unclear how and when interhemispheric and frontoparietal functional connectivity interact during explicit semantic processing. Here, we tested the neural coupling hypothesis that explicit semantic processing promotes neural activity in the nondominant right hemispheric areas, owing to synchronization with enhanced frontoparietal functional connectivity at later processing stages. We analyzed electroencephalogram data obtained using a semantic priming paradigm, which comprised visual priming and target words successively presented under direct or indirect attention to semantic association. Scalp potential analysis demonstrated that the explicit processing of congruent targets reduced negative event-related potentials, as previously reported. Current source density analysis showed that explicit semantic processing activated the right temporal area during later temporal intervals. Subsequent dynamic functional connectivity and neural coupling analyses revealed that explicit semantic processing increased the correlation between right temporal source activities and frontoparietal functional connectivity in later temporal intervals. These findings indicate that explicit semantic processing increases neural coupling between the interhemispheric and frontoparietal functional connectivity during later processing stages.
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Affiliation(s)
- Takahiro Soshi
- Department of English Language Studies, Faculty of Foreign Language Studies, Mejiro University, Shinjyuku, Tokyo 161-8539, Japan
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25
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Kang K, Xiao Y, Yu H, Diaz MT, Zhang H. Multilingual Language Diversity Protects Native Language Production under Different Control Demands. Brain Sci 2023; 13:1587. [PMID: 38002547 PMCID: PMC10670415 DOI: 10.3390/brainsci13111587] [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: 10/05/2023] [Revised: 11/06/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
The use of multiple languages has been found to influence individuals' cognitive abilities. Although some studies have also investigated the effect of multilingualism on non-native language proficiency, fewer studies have focused on how multilingual experience affects native language production. This study investigated the effect of multilingualism on native language production, specifically examining control demands through a semantic Go/No-Go picture naming task. The multilingual experience was quantified using language entropy, which measures the uncertainty and diversity of language use. Control demands were achieved by manipulating the proportion of Go (i.e., naming) trials in different conditions. Results showed that as control demands increased, multilingual individuals exhibited poorer behavioral performance and greater brain activation throughout the brain. Moreover, more diverse language use was associated with higher accuracy in naming and more interconnected brain networks with greater involvement of domain-general neural resources and less domain-specific neural resources. Notably, the varied and balanced use of multiple languages enabled multilingual individuals to respond more efficiently to increased task demands during native language production.
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Affiliation(s)
- Keyi Kang
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
- Department of Psychology, University of Macau, Taipa, Macau SAR, China
| | - Yumeng Xiao
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Hanxiang Yu
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Michele T. Diaz
- Department of Psychology, The Pennsylvania State University, State College, PA 16801, USA
| | - Haoyun Zhang
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
- Department of Psychology, University of Macau, Taipa, Macau SAR, China
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26
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Shekari E, Seyfi M, Modarres Zadeh A, Batouli SA, Valinejad V, Goudarzi S, Joghataei MT. Mechanisms of brain activation following naming therapy in aphasia: A systematic review on task-based fMRI studies. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:780-801. [PMID: 35666667 DOI: 10.1080/23279095.2022.2074849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The pattern of brain neuroplasticity after naming therapies in patients with aphasia can be evaluated using task-based fMRI. This article aims to review studies investigating brain reorganization after semantic and phonological-based anomia therapy that used picture-naming fMRI tasks. We searched for those articles that compared the activation of brain areas before and after aphasia therapies in the PubMed and the EMBASE databases from 1993 up to April 2020. All studies (single-cases or group designs) on anomia treatment in individuals with acquired aphasia were reviewed. Data were synthesized descriptively through tables to allow the facilitated comparison of the studies. A total of 14 studies were selected and reviewed. The results of the reviewed studies demonstrated that the naming improvement is associated with changes in the activation of cortical and subcortical brain areas. This review highlights the need for a more systematic investigation of the association between decreased and increased activation of brain areas related to anomia therapy. Also, more detailed information about factors influencing brain reorganization is required to elucidate the neural mechanisms of anomia therapy. Overall, regarding the theoretical and clinical aspects, the number of studies that used intensive protocol is growing, and based on the positive potential of these treatments, they could be suitable for the rehabilitation of people with aphasia.
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Affiliation(s)
- Ehsan Shekari
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Milad Seyfi
- Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Amin Modarres Zadeh
- Department of Speech Therapy, Faculty of Rehabilitation, Tehran University of Medical science, Tehran, Iran
| | - Seyed Amirhossein Batouli
- Neuroimaging and Analysis Group, Tehran University of Medical Sciences, Tehran, Iran
- School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Valinejad
- Department of Speech Therapy, Faculty of Rehabilitation, Tehran University of Medical science, Tehran, Iran
| | - Sepideh Goudarzi
- Department of Pharmacology and Toxicology, Tehran University of Medical Science, Tehran, Iran
| | - Mohammad Taghi Joghataei
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
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27
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Zhang G, Xu Y, Wang X, Li J, Shi W, Bi Y, Lin N. A social-semantic working-memory account for two canonical language areas. Nat Hum Behav 2023; 7:1980-1997. [PMID: 37735521 DOI: 10.1038/s41562-023-01704-8] [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: 02/01/2023] [Accepted: 08/22/2023] [Indexed: 09/23/2023]
Abstract
Language and social cognition are traditionally studied as separate cognitive domains, yet accumulative studies reveal overlapping neural correlates at the left ventral temporoparietal junction (vTPJ) and the left lateral anterior temporal lobe (lATL), which have been attributed to sentence processing and social concept activation. We propose a common cognitive component underlying both effects: social-semantic working memory. We confirmed two key predictions of our hypothesis using functional MRI. First, the left vTPJ and lATL showed sensitivity to sentences only when the sentences conveyed social meaning; second, these regions showed persistent social-semantic-selective activity after the linguistic stimuli disappeared. We additionally found that both regions were sensitive to the socialness of non-linguistic stimuli and were more tightly connected with the social-semantic-processing areas than with the sentence-processing areas. The converging evidence indicates the social-semantic working-memory function of the left vTPJ and lATL and challenges the general-semantic and/or syntactic accounts for the neural activity of these regions.
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Affiliation(s)
- Guangyao Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Yangwen Xu
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Xiuyi Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jixing Li
- Department of Linguistics and Translation, City University of Hong Kong, Hong Kong SAR, China
| | - Weiting Shi
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yanchao Bi
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Nan Lin
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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28
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Tuckute G, Sathe A, Srikant S, Taliaferro M, Wang M, Schrimpf M, Kay K, Fedorenko E. Driving and suppressing the human language network using large language models. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.16.537080. [PMID: 37090673 PMCID: PMC10120732 DOI: 10.1101/2023.04.16.537080] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Transformer models such as GPT generate human-like language and are highly predictive of human brain responses to language. Here, using fMRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict the magnitude of brain response associated with each sentence. Then, we use the model to identify new sentences that are predicted to drive or suppress responses in the human language network. We show that these model-selected novel sentences indeed strongly drive and suppress activity of human language areas in new individuals. A systematic analysis of the model-selected sentences reveals that surprisal and well-formedness of linguistic input are key determinants of response strength in the language network. These results establish the ability of neural network models to not only mimic human language but also noninvasively control neural activity in higher-level cortical areas, like the language network.
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Affiliation(s)
- Greta Tuckute
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Aalok Sathe
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Shashank Srikant
- Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- MIT-IBM Watson AI Lab, Cambridge, MA 02142, USA
| | - Maya Taliaferro
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Mingye Wang
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Martin Schrimpf
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Quest for Intelligence, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Kendrick Kay
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455 USA
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- The Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02138 USA
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Murphy E, Forseth KJ, Donos C, Snyder KM, Rollo PS, Tandon N. The spatiotemporal dynamics of semantic integration in the human brain. Nat Commun 2023; 14:6336. [PMID: 37875526 PMCID: PMC10598228 DOI: 10.1038/s41467-023-42087-8] [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: 09/12/2022] [Accepted: 09/28/2023] [Indexed: 10/26/2023] Open
Abstract
Language depends critically on the integration of lexical information across multiple words to derive semantic concepts. Limitations of spatiotemporal resolution have previously rendered it difficult to isolate processes involved in semantic integration. We utilized intracranial recordings in epilepsy patients (n = 58) who read written word definitions. Descriptions were either referential or non-referential to a common object. Semantically referential sentences enabled high frequency broadband gamma activation (70-150 Hz) of the inferior frontal sulcus (IFS), medial parietal cortex, orbitofrontal cortex (OFC) and medial temporal lobe in the left, language-dominant hemisphere. IFS, OFC and posterior middle temporal gyrus activity was modulated by the semantic coherence of non-referential sentences, exposing semantic effects that were independent of task-based referential status. Components of this network, alongside posterior superior temporal sulcus, were engaged for referential sentences that did not clearly reduce the lexical search space by the final word. These results indicate the existence of complementary cortical mosaics for semantic integration in posterior temporal and inferior frontal cortex.
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Affiliation(s)
- Elliot Murphy
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
| | - Kiefer J Forseth
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Cristian Donos
- Faculty of Physics, University of Bucharest, Măgurele, 077125, Bucharest, Romania
| | - Kathryn M Snyder
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Patrick S Rollo
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
- Memorial Hermann Hospital, Texas Medical Center, Houston, TX, 77030, USA.
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Lundin NB, Brown JW, Johns BT, Jones MN, Purcell JR, Hetrick WP, O’Donnell BF, Todd PM. Neural evidence of switch processes during semantic and phonetic foraging in human memory. Proc Natl Acad Sci U S A 2023; 120:e2312462120. [PMID: 37824523 PMCID: PMC10589708 DOI: 10.1073/pnas.2312462120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 09/06/2023] [Indexed: 10/14/2023] Open
Abstract
Humans may retrieve words from memory by exploring and exploiting in "semantic space" similar to how nonhuman animals forage for resources in physical space. This has been studied using the verbal fluency test (VFT), in which participants generate words belonging to a semantic or phonetic category in a limited time. People produce bursts of related items during VFT, referred to as "clustering" and "switching." The strategic foraging model posits that cognitive search behavior is guided by a monitoring process which detects relevant declines in performance and then triggers the searcher to seek a new patch or cluster in memory after the current patch has been depleted. An alternative body of research proposes that this behavior can be explained by an undirected rather than strategic search process, such as random walks with or without random jumps to new parts of semantic space. This study contributes to this theoretical debate by testing for neural evidence of strategically timed switches during memory search. Thirty participants performed category and letter VFT during functional MRI. Responses were classified as cluster or switch events based on computational metrics of similarity and participant evaluations. Results showed greater hippocampal and posterior cerebellar activation during switching than clustering, even while controlling for interresponse times and linguistic distance. Furthermore, these regions exhibited ramping activity which increased during within-patch search leading up to switches. Findings support the strategic foraging model, clarifying how neural switch processes may guide memory search in a manner akin to foraging in patchy spatial environments.
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Affiliation(s)
- Nancy B. Lundin
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Program in Neuroscience, Indiana University, Bloomington, IN47405
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH43210
| | - Joshua W. Brown
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Program in Neuroscience, Indiana University, Bloomington, IN47405
- Cognitive Science Program, Indiana University, Bloomington, IN47405
| | - Brendan T. Johns
- Department of Psychology, McGill University, Montréal, QCH3A 1G1, Canada
| | - Michael N. Jones
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Cognitive Science Program, Indiana University, Bloomington, IN47405
| | - John R. Purcell
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Program in Neuroscience, Indiana University, Bloomington, IN47405
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ08854
| | - William P. Hetrick
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Program in Neuroscience, Indiana University, Bloomington, IN47405
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN46202
| | - Brian F. O’Donnell
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Program in Neuroscience, Indiana University, Bloomington, IN47405
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN46202
| | - Peter M. Todd
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN47405
- Cognitive Science Program, Indiana University, Bloomington, IN47405
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Valizadeh P, Cattarinussi G, Sambataro F, Brambilla P, Delvecchio G. Neuroimaging alterations associated with medication use in early-onset bipolar disorder: An updated review. J Affect Disord 2023; 339:984-997. [PMID: 37481130 DOI: 10.1016/j.jad.2023.07.098] [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: 02/13/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Pediatric bipolar disorder (PBD) is a severe disorder characterized by mood fluctuations starting at a young age. Several neuroimaging studies revealed a specific biological signature of PBD involving alterations in the amygdala and prefrontal regions. Considering the growing concerns regarding the effects of PBD treatments on developing brains, this review aims to provide an overview of the studies investigating the effect of mood stabilizers, antipsychotics, and anticonvulsants on neuroimaging findings in PBD. METHODS We searched PubMed, Scopus, and Web of Science to identify all structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI) studies exploring the effects of medications on neuroimaging findings in PBD. A total of 18 studies met our inclusion criteria (fMRI n = 11, sMRI n = 6, DTI n = 1). RESULTS Although the findings varied highly across the studies, some investigations consistently indicated that medications primarily affect the prefrontal cortex and the amygdala. Moreover, despite some exceptions, the reported medication effects predominantly lean towards structural and functional normalization. LIMITATIONS The reviewed studies differ in methods, medications, and fMRI paradigms. Furthermore, most studies used observational approaches with small sample sizes, minimizing the statistical power. CONCLUSIONS Evidence suggests the potential of antipsychotics and mood stabilizers to modulate the neuroimaging findings in PBD patients, mostly normalizing brain structure and function in key mood-regulating regions.
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Affiliation(s)
- Parya Valizadeh
- School of Medicine, Tehran University of Medical Science, Tehran, Iran; Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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Coray RC, Zimmermann J, Haugg A, Baumgartner MR, Steuer AE, Seifritz E, Stock AK, Beste C, Cole DM, Quednow BB. The functional connectome of 3,4-methyldioxymethamphetamine-related declarative memory impairments. Hum Brain Mapp 2023; 44:5079-5094. [PMID: 37530403 PMCID: PMC10502674 DOI: 10.1002/hbm.26438] [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: 02/14/2023] [Revised: 06/30/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023] Open
Abstract
The chronic intake of 3,4-methylenedioxymethamphetamine (MDMA, "ecstasy") bears a strong risk for sustained declarative memory impairments. Although such memory deficits have been repeatedly reported, their neurofunctional origin remains elusive. Therefore, we here investigate the neuronal basis of altered declarative memory in recurrent MDMA users at the level of brain connectivity. We examined a group of 44 chronic MDMA users and 41 demographically matched controls. Declarative memory performance was assessed by the Rey Auditory Verbal Learning Test and a visual associative learning test. To uncover alterations in the whole brain connectome between groups, we employed a data-driven multi-voxel pattern analysis (MVPA) approach on participants' resting-state functional magnetic resonance imaging data. Recent MDMA use was confirmed by hair analyses. MDMA users showed lower performance in delayed recall across tasks compared to well-matched controls with moderate-to-strong effect sizes. MVPA revealed a large cluster located in the left postcentral gyrus of global connectivity differences between groups. Post hoc seed-based connectivity analyses with this cluster unraveled hypoconnectivity to temporal areas belonging to the auditory network and hyperconnectivity to dorsal parietal regions belonging to the dorsal attention network in MDMA users. Seed-based connectivity strength was associated with verbal memory performance in the whole sample as well as with MDMA intake patterns in the user group. Our findings suggest that functional underpinnings of MDMA-related memory impairments encompass altered patterns of multimodal sensory integration within auditory processing regions to a functional heteromodal connector hub, the left postcentral gyrus. In addition, hyperconnectivity in regions of a cognitive control network might indicate compensation for degraded sensory processing.
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Affiliation(s)
- Rebecca C Coray
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Josua Zimmermann
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Amelie Haugg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Markus R Baumgartner
- Center for Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Andrea E Steuer
- Department of Forensic Pharmacology and Toxicology, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Ann-Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - David M Cole
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
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Ohm DT, Rhodes E, Bahena A, Capp N, Lowe M, Sabatini P, Trotman W, Olm CA, Phillips J, Prabhakaran K, Rascovsky K, Massimo L, McMillan C, Gee J, Tisdall MD, Yushkevich PA, Lee EB, Grossman M, Irwin DJ. Neuroanatomical and cellular degeneration associated with a social disorder characterized by new ritualistic belief systems in a TDP-C patient vs. a Pick patient. Front Neurol 2023; 14:1245886. [PMID: 37900607 PMCID: PMC10600461 DOI: 10.3389/fneur.2023.1245886] [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: 06/23/2023] [Accepted: 08/15/2023] [Indexed: 10/31/2023] Open
Abstract
Frontotemporal dementia (FTD) is a spectrum of clinically and pathologically heterogenous neurodegenerative dementias. Clinical and anatomical variants of FTD have been described and associated with underlying frontotemporal lobar degeneration (FTLD) pathology, including tauopathies (FTLD-tau) or TDP-43 proteinopathies (FTLD-TDP). FTD patients with predominant degeneration of anterior temporal cortices often develop a language disorder of semantic knowledge loss and/or a social disorder often characterized by compulsive rituals and belief systems corresponding to predominant left or right hemisphere involvement, respectively. The neural substrates of these complex social disorders remain unclear. Here, we present a comparative imaging and postmortem study of two patients, one with FTLD-TDP (subtype C) and one with FTLD-tau (subtype Pick disease), who both developed new rigid belief systems. The FTLD-TDP patient developed a complex set of values centered on positivity and associated with specific physical and behavioral features of pigs, while the FTLD-tau patient developed compulsive, goal-directed behaviors related to general themes of positivity and spirituality. Neuroimaging showed left-predominant temporal atrophy in the FTLD-TDP patient and right-predominant frontotemporal atrophy in the FTLD-tau patient. Consistent with antemortem cortical atrophy, histopathologic examinations revealed severe loss of neurons and myelin predominantly in the anterior temporal lobes of both patients, but the FTLD-tau patient showed more bilateral, dorsolateral involvement featuring greater pathology and loss of projection neurons and deep white matter. These findings highlight that the regions within and connected to anterior temporal lobes may have differential vulnerability to distinct FTLD proteinopathies and serve important roles in human belief systems.
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Affiliation(s)
- Daniel T. Ohm
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Emma Rhodes
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Alejandra Bahena
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Noah Capp
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - MaKayla Lowe
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Philip Sabatini
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Winifred Trotman
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Karthik Prabhakaran
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Corey McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - James Gee
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - M. Dylan Tisdall
- Center for Advanced Magnetic Resonance Imaging and Spectroscopy, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Paul A. Yushkevich
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B. Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - David J. Irwin
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
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Larson C, Mathée-Scott J, Kaplan D, Weismer SE. Cognitive processes associated with working memory in children with developmental language disorder. J Exp Child Psychol 2023; 234:105709. [PMID: 37285760 PMCID: PMC10330754 DOI: 10.1016/j.jecp.2023.105709] [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: 01/06/2023] [Revised: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 06/09/2023]
Abstract
The current study examined how individual differences in language, nonverbal, and attention abilities relate to working memory in children with developmental language disorder (DLD) relative to age-matched typically developing (TD) peers using an interference-based model of working memory as our theoretical framework. Our experimental paradigm involved varying the domain (verbal/nonverbal) of recall items and an interference processing task, testing effects of interference. We examined the relative importance of language, nonverbal, and attention skills in predicting working memory performance by using Bayesian leave-one-out cross-validation to compare models with varied combinations of these skills as predictors. We then statistically tested selected models. Selected models were similar between groups for nonverbal, but not verbal, working memory. Language, nonverbal, and attention skills were associated with performance regardless of whether the working memory task was verbal or nonverbal for the DLD group, yet only attention was associated with verbal working memory for the TD group. A broader set of cognitive processes was involved in verbal recall in children with DLD than in TD peers, potentially reflecting diminished specialization of cognitive processes underlying language. The interference-based model of working memory accounted for interrelationships among language, processing speed, and inhibition of interference, revealing new insights into verbal processing.
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Affiliation(s)
- Caroline Larson
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53706, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA.
| | - Janine Mathée-Scott
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53706, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - David Kaplan
- Department of Educational Psychology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Susan Ellis Weismer
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53706, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
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35
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Huo S, Lo JCM, Ma J, Maurer U, McBride C. Neural specialization to English words in Chinese children: Joint contribution of age and English reading abilities. Dev Cogn Neurosci 2023; 63:101292. [PMID: 37666027 PMCID: PMC10482990 DOI: 10.1016/j.dcn.2023.101292] [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: 02/22/2022] [Revised: 06/13/2023] [Accepted: 08/28/2023] [Indexed: 09/06/2023] Open
Abstract
N1 tuning to words, a neural marker of visual word recognition, develops by an interaction between age and ability. The development of N1 tuning to a second learnt print is unclear. The present study examined the joint contribution of age and English reading abilities to N1 amplitude and tuning to English print in Chinese children in Hong Kong. EEG signals were recorded from 179 children (six to nine years old) while they were performing a repetition detection task comprised of different print stimuli measuring three types of tuning, i.e., coarse tuning (real word versus false font), fine tuning (real versus nonword), and lexicality effect (real versus pseudo word). Children were assessed in English word reading accuracy (EWR) and English sub-lexical orthographic knowledge (EOK). Results indicated that coarse tuning decreased with age but increased with EWR and EOK. Fine tuning uniquely increased with EOK, and the lexicality effect increased with EWR. At last, higher EWR was linked to less right-lateralized coarse tuning in younger children. Taken together, the findings support the visual perceptual expertise account in the L2 context, in that N1 coarse tuning, fine tuning, and lexicality effect are driven by skill improvement.
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Affiliation(s)
- Shuting Huo
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong
| | | | - Jie Ma
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong
| | - Urs Maurer
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong; Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong; Centre for Developmental Psychology, The Chinese University of Hong Kong, Hong Kong.
| | - Catherine McBride
- Department of Human Development and Family Science, Purdue University, West Lafayette, USA
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Savage SA, Suárez-González A, Stuart I, Christensen I. Successful word retraining, maintenance and transference of practice to everyday activities: A single case experimental design in early onset alcohol-induced brain damage. Neuropsychol Rehabil 2023; 33:1488-1511. [PMID: 35984770 DOI: 10.1080/09602011.2022.2107545] [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: 11/15/2021] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Word retraining programs have been shown to improve naming ability post-stroke and in progressive aphasias. Here, we investigated benefits for a 22-year-old Danish man (DJ), whose difficulties followed brain damage from heavy alcohol misuse. Using a multiple baseline-across-behaviours design (target behaviour: retrieval of word list items), DJ completed a 4-week "Look, Listen, Repeat" program on a computer. Ninety personally relevant target words were selected to create three matched lists. List 1 was trained for 10 sessions over 2 weeks, followed by 9 sessions for List 2 over 2 weeks, while the third list remained untrained. Naming performance was evaluated at baseline, during the intervention, and at 1 and 4 months post-training. Naming improved following each intervention block (p < .001), with only one data point overlapping between the baseline and treatment phases for trained items. Untrained words remained unchanged (p = 1.00), with 50% of data points non-overlapping across baseline to treatment phases. Performance was maintained over time, and appeared to generalize, with DJ naming more trained objects in their natural setting (85%) than untrained items (64%). While more evidence is needed, brief (20-minute), intensive (5-day/week) word retraining programs may assist word retrieval for people with brain damage associated with alcohol misuse.
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Affiliation(s)
- Sharon A Savage
- School of Psychological Sciences, The University of Newcastle, Newcastle, Australia
- Psychology Department, University of Exeter , Exeter, UK
| | - Aida Suárez-González
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Ida Stuart
- Neurorehabilitation Selma Marie, Ølstykke, Denmark
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37
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Duvall L, May KE, Waltz A, Kana RK. The neurobiological map of theory of mind and pragmatic communication in autism. Soc Neurosci 2023; 18:191-204. [PMID: 37724352 DOI: 10.1080/17470919.2023.2242095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Indexed: 09/20/2023]
Abstract
Children with autism often have difficulty with Theory of Mind (ToM), the ability to infer mental states, and pragmatic skills, the contextual use of language. Neuroimaging research suggests ToM and pragmatic skills overlap, as the ability to understand another's mental state is a prerequisite to interpersonal communication. To our knowledge, no study in the last decade has examined this overlap further. To assess the emerging consensus across neuroimaging studies of ToM and pragmatic skills in autism, we used coordinate-based activation likelihood estimation (ALE) analysis of 35 functional magnetic resonance imaging (MRI) studies (13 pragmatic skills, 22 ToM), resulting in a meta-analysis of 1,295 participants (647 autistic, 648 non-autistic) aged 7 to 49 years. Group difference analysis revealed decreased left inferior frontal gyrus (LIFG) activation in autistic participants during pragmatic skills tasks. For ToM tasks, we found reduced anterior cingulate cortex (ACC), medial prefrontal cortex (MPFC), and temporoparietal junction (TPJ) activation in autistic participants. Collectively, both ToM and pragmatic tasks showed activation in IFG and superior temporal gyrus (STG) and a reduction in left hemispheric activation in autistic participants. Overall, the findings underscore the cognitive and neural processing similarities between ToM and pragmatic skills, and their underlying neurobiological differences in autism.
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Affiliation(s)
- Lauren Duvall
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kaitlyn E May
- Department of Educational Studies in Psychology, Research Methodologies, and Counseling, University of Alabama, Tuscaloosa, AL,USA
| | - Abby Waltz
- Department of Psychology & the Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, AL, USA
| | - Rajesh K Kana
- Department of Psychology & the Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, AL, USA
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Abbasi O, Steingräber N, Chalas N, Kluger DS, Gross J. Spatiotemporal dynamics characterise spectral connectivity profiles of continuous speaking and listening. PLoS Biol 2023; 21:e3002178. [PMID: 37478152 DOI: 10.1371/journal.pbio.3002178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/31/2023] [Indexed: 07/23/2023] Open
Abstract
Speech production and perception are fundamental processes of human cognition that both rely on intricate processing mechanisms that are still poorly understood. Here, we study these processes by using magnetoencephalography (MEG) to comprehensively map connectivity of regional brain activity within the brain and to the speech envelope during continuous speaking and listening. Our results reveal not only a partly shared neural substrate for both processes but also a dissociation in space, delay, and frequency. Neural activity in motor and frontal areas is coupled to succeeding speech in delta band (1 to 3 Hz), whereas coupling in the theta range follows speech in temporal areas during speaking. Neural connectivity results showed a separation of bottom-up and top-down signalling in distinct frequency bands during speaking. Here, we show that frequency-specific connectivity channels for bottom-up and top-down signalling support continuous speaking and listening. These findings further shed light on the complex interplay between different brain regions involved in speech production and perception.
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Affiliation(s)
- Omid Abbasi
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
| | - Nadine Steingräber
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
| | - Nikos Chalas
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
| | - Daniel S Kluger
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
| | - Joachim Gross
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
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Gong XL, Huth AG, Deniz F, Johnson K, Gallant JL, Theunissen FE. Phonemic segmentation of narrative speech in human cerebral cortex. Nat Commun 2023; 14:4309. [PMID: 37463907 PMCID: PMC10354060 DOI: 10.1038/s41467-023-39872-w] [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: 09/22/2022] [Accepted: 06/29/2023] [Indexed: 07/20/2023] Open
Abstract
Speech processing requires extracting meaning from acoustic patterns using a set of intermediate representations based on a dynamic segmentation of the speech stream. Using whole brain mapping obtained in fMRI, we investigate the locus of cortical phonemic processing not only for single phonemes but also for short combinations made of diphones and triphones. We find that phonemic processing areas are much larger than previously described: they include not only the classical areas in the dorsal superior temporal gyrus but also a larger region in the lateral temporal cortex where diphone features are best represented. These identified phonemic regions overlap with the lexical retrieval region, but we show that short word retrieval is not sufficient to explain the observed responses to diphones. Behavioral studies have shown that phonemic processing and lexical retrieval are intertwined. Here, we also have identified candidate regions within the speech cortical network where this joint processing occurs.
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Affiliation(s)
- Xue L Gong
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, 94720, CA, USA.
| | - Alexander G Huth
- Departments of Neuroscience and Computer Science, University of Texas, Austin, Austin, 78712, TX, USA
| | - Fatma Deniz
- Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, 10587, Berlin, Germany
| | - Keith Johnson
- Department of Linguistics, University of California, Berkeley, Berkeley, 94720, CA, USA
| | - Jack L Gallant
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, 94720, CA, USA
- Department of Psychology, University of California, Berkeley, Berkeley, 94720, CA, USA
| | - Frédéric E Theunissen
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, 94720, CA, USA.
- Department of Psychology, University of California, Berkeley, Berkeley, 94720, CA, USA.
- Department of Integrative Biology, University of California, Berkeley, Berkeley, 94720, CA, USA.
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Vasileiadi M, Schuler AL, Woletz M, Linhardt D, Windischberger C, Tik M. Functional connectivity explains how neuronavigated TMS of posterior temporal subregions differentially affect language processing. Brain Stimul 2023; 16:1062-1071. [PMID: 37390891 DOI: 10.1016/j.brs.2023.06.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 05/25/2023] [Accepted: 06/21/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND "Wernicke's area" is most often used to describe the posterior superior temporal gyrus (STG) and refers to a region traditionally thought to support language comprehension. However, the posterior STG additionally plays a critical role in language production. The purpose of the current study was to determine to what extent regions within the posterior STG are selectively recruited during language production. METHODS 23 healthy right-handed participants completed an auditory fMRI localizer task, resting-state fMRI and underwent neuronavigated TMS language mapping. We applied repetitive TMS bursts during a picture naming paradigm to probe speech disruptions of different categories (anomia, speech arrest, semantic paraphasia and phonological paraphasia). We combined an in-house built high precision stimulation software suite with E-field modeling to map the naming errors to cortical regions and revealed a dissociation of language functions within the temporal gyrus. Resting state fMRI was used to explain how E-field peaks of different categories differentially affected language production. RESULTS Peaks for phonological and semantic errors were found in the STG while those for anomia and speech arrest were located in the MTG. Seed-based connectivity analysis revealed a local connectivity pattern for phonological and semantic errors, while anomia and speech arrest seeds resulted in a larger network between IFG and posterior MTG. CONCLUSIONS Our study provides important insights into the functional neuroanatomy of language production and might help to increase the current understanding of specific language production difficulties on a causal level.
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Affiliation(s)
- Maria Vasileiadi
- Center for Medical Physics and BME, Medical University of Vienna, Vienna, Austria
| | - Anna-Lisa Schuler
- Center for Medical Physics and BME, Medical University of Vienna, Vienna, Austria
| | - Michael Woletz
- Center for Medical Physics and BME, Medical University of Vienna, Vienna, Austria
| | - David Linhardt
- Center for Medical Physics and BME, Medical University of Vienna, Vienna, Austria
| | | | - Martin Tik
- Center for Medical Physics and BME, Medical University of Vienna, Vienna, Austria; Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
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Qian H, Liu X, Guo Z, Wang G, Chen X, Liu J. Alterations in Resting-State Interhemispheric Coordination With Refractory Auditory Verbal Hallucinations in Schizophrenia. J Neuropsychiatry Clin Neurosci 2023; 35:385-392. [PMID: 37259546 DOI: 10.1176/appi.neuropsych.20220054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate resting-state interhemispheric functional connectivity in patients with schizophrenia and refractory auditory verbal hallucinations (RAVHs) by using voxel-mirrored homotopic connectivity (VMHC). METHODS Thirty-four patients with schizophrenia and RAVHs (RAVH group), 23 patients with schizophrenia but no auditory verbal hallucinations (non-AVH group), and 28 matched healthy volunteers (healthy control group) were recruited in China. VMHC analyses were used to identify brain areas with significant differences in functional connectivity among the three groups, and correlations between symptom scores and neurological measures were examined. RESULTS VMHC analyses showed aberrant bilateral connectivity between several homotopic brain regions: the RAVH and non-AVH groups showed differences in bilateral connectivity of the superior and middle temporal gyri, and the RAVH and healthy control groups showed differences in bilateral connectivity of the gyrus rectus, inferior frontal gyrus, and putamen. In addition, interhemispheric connectivity of the superior and middle temporal gyri correlated with patients' positive symptom scores. CONCLUSIONS These findings may help to elucidate the pathophysiological mechanisms underlying auditory verbal hallucinations. The results revealed interhemispheric functional dysconnectivity among patients with schizophrenia and suggest that the dysconnectivity of homotopic brain regions may play an important role in the development of auditory verbal hallucinations.
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Affiliation(s)
- Huichang Qian
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Xiaozheng Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Zhongwei Guo
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Guanjun Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Xiuhong Chen
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Jian Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
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Feng Y, Liang Y, Zhang Y, Duan X, Zhang J, Yan H. Divergent interpersonal neural synchronization patterns in the first, second language and interlingual communication. Sci Rep 2023; 13:8706. [PMID: 37248270 DOI: 10.1038/s41598-023-35923-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/25/2023] [Indexed: 05/31/2023] Open
Abstract
An accumulating number of studies have highlighted the importance of interpersonal neural synchronization (INS) between interlocutors in successful verbal communications. The opportunities for communication across different language contexts are rapidly expanding, thanks to the frequent interactions among people all over the world. However, whether the INS changes in different language contexts and how language choice affects the INS remain scarcely explored. The study recruited twenty pairs of participants to communicate in the first language (L1), second language (L2) and interlingual contexts. Using functional near-infrared spectroscopy (fNIRS), we examined the neural activities of interlocutors and analyzed their wavelet transform coherence to assess the INS of dyads. Results showed that as compared to the resting state, stronger INS was observed at the left inferior temporal gyrus, middle temporal gyrus, pre-motor and supplementary motor cortex, dorsolateral prefrontal cortex, and inferior frontal gyrus in L1; at the left middle temporal gyrus, superior temporal gyrus, and inferior frontal gyrus in L2; at the left inferior temporal gyrus and inferior frontal gyrus in interlingual context. Additionally, INS at the left inferior frontal gyrus was significantly stronger in L2 than in L1. These findings reveal the differences of the INS in different language contexts and confirm the importance of language choice for the INS changes.
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Affiliation(s)
- Yanqin Feng
- School of Foreign Languages, Xidian University, Xi'an, China
| | - Yuan Liang
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Yi Zhang
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Xu Duan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China
| | - Jie Zhang
- Department of Radiation Medicine, Air Force Military Medical University, Xi'an, China.
| | - Hao Yan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an, China.
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Lei VLC, Leong TI, Leong CT, Liu L, Choi CU, Sereno MI, Li D, Huang RS. Phase-encoded fMRI tracks down brainstorms of natural language processing with sub-second precision. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.29.542546. [PMID: 37398177 PMCID: PMC10312422 DOI: 10.1101/2023.05.29.542546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
The human language system interacts with cognitive and sensorimotor regions during natural language processing. However, where, when, and how these processes occur remain unclear. Existing noninvasive subtraction-based neuroimaging techniques cannot simultaneously achieve the spatial and temporal resolutions required to visualize ongoing information flows across the whole brain. Here we have developed phase-encoded designs to fully exploit the temporal information latent in functional magnetic resonance imaging (fMRI) data, as well as overcoming scanner noise and head-motion challenges during overt language tasks. We captured neural information flows as coherent waves traveling over the cortical surface during listening, reciting, and oral cross-language interpreting. The timing, location, direction, and surge of traveling waves, visualized as 'brainstorms' on brain 'weather' maps, reveal the functional and effective connectivity of the brain in action. These maps uncover the functional neuroanatomy of language perception and production and motivate the construction of finer-grained models of human information processing.
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Affiliation(s)
| | - Teng Ieng Leong
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Cheok Teng Leong
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Lili Liu
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Chi Un Choi
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Martin I. Sereno
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Defeng Li
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Ruey-Song Huang
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
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Mastrandrea R, Cecchetti L, Lettieri G, Handjaras G, Leo A, Papale P, Gili T, Martini N, Latta DD, Chiappino D, Pietrini P, Ricciardi E. Information load dynamically modulates functional brain connectivity during narrative listening. Sci Rep 2023; 13:8110. [PMID: 37208405 DOI: 10.1038/s41598-023-34998-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/11/2023] [Indexed: 05/21/2023] Open
Abstract
Narratives are paradigmatic examples of natural language, where nouns represent a proxy of information. Functional magnetic resonance imaging (fMRI) studies revealed the recruitment of temporal cortices during noun processing and the existence of a noun-specific network at rest. Yet, it is unclear whether, in narratives, changes in noun density influence the brain functional connectivity, so that the coupling between regions correlates with information load. We acquired fMRI activity in healthy individuals listening to a narrative with noun density changing over time and measured whole-network and node-specific degree and betweenness centrality. Network measures were correlated with information magnitude with a time-varying approach. Noun density correlated positively with the across-regions average number of connections and negatively with the average betweenness centrality, suggesting the pruning of peripheral connections as information decreased. Locally, the degree of the bilateral anterior superior temporal sulcus (aSTS) was positively associated with nouns. Importantly, aSTS connectivity cannot be explained by changes in other parts of speech (e.g., verbs) or syllable density. Our results indicate that the brain recalibrates its global connectivity as a function of the information conveyed by nouns in natural language. Also, using naturalistic stimulation and network metrics, we corroborate the role of aSTS in noun processing.
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Affiliation(s)
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies, Lucca, Italy
| | - Giada Lettieri
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies, Lucca, Italy
- Crossmodal Perception and Plasticity Laboratory, Institute of Psychology, University of Louvain, Louvain-La-Neuve, Belgium
| | | | - Andrea Leo
- Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Paolo Papale
- MoMiLab, IMT School for Advanced Studies, Lucca, Italy
- Department of Vision & Cognition, Netherlands Institute for Neuroscience (KNAW), 1105 BA, Amsterdam, The Netherlands
| | - Tommaso Gili
- NETWORKS, IMT School for Advanced Studies, Lucca, Italy
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Zhang H, Diaz MT. Task difficulty modulates age-related differences in functional connectivity during word production. BRAIN AND LANGUAGE 2023; 240:105263. [PMID: 37062160 PMCID: PMC10164070 DOI: 10.1016/j.bandl.2023.105263] [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: 08/29/2022] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 05/07/2023]
Abstract
Older adults typically report increased difficulty with language production, while its neural bases are less clear. The current study investigated the neural bases of age-related differences in language production at the word level and the modulating effect of task difficulty, focusing on task-based functional connectivity. Using an English phonological Go/No-Go picture naming task, task difficulty was manipulated by varying the proportion of naming trials (Go trials) and inhibition trials (No-Go trials) across runs. Behaviorally, compared to younger adults, older adults performed worse, and showed larger effects of task difficulty. Neurally, older adults had lower within language network connectivity compared to younger adults. Moreover, older adults' language network became less segregated as task difficulty increased. These results are consistent with the Compensation-Related Utilization of Neural Circuits Hypothesis, suggesting that the brain becomes less specified and efficient with increased task difficulty, and that these effects are stronger among older adults (i.e., more dedifferentiated).
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Affiliation(s)
- Haoyun Zhang
- University of Macau, Taipa, Macau; The Pennsylvania State University, University Park, PA 16801, USA.
| | - Michele T Diaz
- The Pennsylvania State University, University Park, PA 16801, USA
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Fawaz R, Sellier A, Beucler N, Lozouet M, Delmas JM, Desse N, Dagain A. The Origin of Surrealism: Rethinking Apollinaire's Penetrating Brain Injury with Current Knowledge Regarding White Matter Tracts. World Neurosurg 2023; 173:44-47. [PMID: 36739894 DOI: 10.1016/j.wneu.2023.01.121] [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: 10/25/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/07/2023]
Abstract
The French poet Apollinaire enrolled in the French army during World War I. In 1916, he sustained a penetrating brain injury when a fragment of shrapnel pierced his helmet in the right temporal region. Neurosurgical techniques were at that time standardized to manage the significant number of war-related neurosurgical casualties. Apollinaire, who experienced transient fainting followed by left-sided hemiparesis 2 months after his trauma, underwent trepanation. The poet's personality and behavior changed dramatically after his trauma. These neurobehavioral changes, associated with preserved cognition and no other neurologic dysfunction, were later described as Apollinaire syndrome. These personality changes were accompanied by flourishing writing changes. Hence, 15 months after his penetrating brain injury, the poet introduced the term "surrealism" to the world in his play The Breasts of Tiresias, giving birth to a major movement that paved the way for the 20th century. Linguistic shifts such as phonologic and semantic word games were at the forefront of the narrative process of the play. Traumatic brain injury often leads to cognitive impairment. In the case of Apollinaire, if the ballistic trauma were also responsible for diffuse axonal injury, it could have also led to semantic and social cognition impairment, in addition to the neuropsychological disorders that had already been widely documented by his friends and family. The world will always remember Apollinaire's writing genius as deeply associated with the birth of surrealism. But what if the poet's new writing style was caused, at least in part, by the unexpected help of a lost shrapnel fragment?
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Affiliation(s)
- Rayan Fawaz
- Department of Neurosurgery, Percy Military Teaching Hospital, Clamart Cedex, France; Ecole du Val-de-Grâce, French Health Service Military Academy, Paris Cedex 5, France.
| | - Aurore Sellier
- Ecole du Val-de-Grâce, French Health Service Military Academy, Paris Cedex 5, France; Department of Neurosurgery, Sainte Anne Military Teaching Hospital, Toulon Cedex, France
| | - Nathan Beucler
- Ecole du Val-de-Grâce, French Health Service Military Academy, Paris Cedex 5, France; Department of Neurosurgery, Sainte Anne Military Teaching Hospital, Toulon Cedex, France
| | - Mathieu Lozouet
- Department of Neurosurgery, Rouen University Hospital, Rouen, France
| | - Jean Marc Delmas
- Department of Neurosurgery, Percy Military Teaching Hospital, Clamart Cedex, France
| | - Nicolas Desse
- Department of Neurosurgery, Percy Military Teaching Hospital, Clamart Cedex, France
| | - Arnaud Dagain
- Department of Neurosurgery, Sainte Anne Military Teaching Hospital, Toulon Cedex, France; Val-de-Grâce Military Academy, Paris Cedex 5, France
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47
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Keshishian M, Akkol S, Herrero J, Bickel S, Mehta AD, Mesgarani N. Joint, distributed and hierarchically organized encoding of linguistic features in the human auditory cortex. Nat Hum Behav 2023; 7:740-753. [PMID: 36864134 PMCID: PMC10417567 DOI: 10.1038/s41562-023-01520-0] [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: 10/04/2021] [Accepted: 01/05/2023] [Indexed: 03/04/2023]
Abstract
The precise role of the human auditory cortex in representing speech sounds and transforming them to meaning is not yet fully understood. Here we used intracranial recordings from the auditory cortex of neurosurgical patients as they listened to natural speech. We found an explicit, temporally ordered and anatomically distributed neural encoding of multiple linguistic features, including phonetic, prelexical phonotactics, word frequency, and lexical-phonological and lexical-semantic information. Grouping neural sites on the basis of their encoded linguistic features revealed a hierarchical pattern, with distinct representations of prelexical and postlexical features distributed across various auditory areas. While sites with longer response latencies and greater distance from the primary auditory cortex encoded higher-level linguistic features, the encoding of lower-level features was preserved and not discarded. Our study reveals a cumulative mapping of sound to meaning and provides empirical evidence for validating neurolinguistic and psycholinguistic models of spoken word recognition that preserve the acoustic variations in speech.
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Affiliation(s)
- Menoua Keshishian
- Department of Electrical Engineering, Columbia University, New York, NY, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Serdar Akkol
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Jose Herrero
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Neurosurgery, Hofstra-Northwell School of Medicine, Manhasset, NY, USA
| | - Stephan Bickel
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Neurosurgery, Hofstra-Northwell School of Medicine, Manhasset, NY, USA
| | - Ashesh D Mehta
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Neurosurgery, Hofstra-Northwell School of Medicine, Manhasset, NY, USA
| | - Nima Mesgarani
- Department of Electrical Engineering, Columbia University, New York, NY, USA.
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
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48
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Deniz F, Tseng C, Wehbe L, Dupré la Tour T, Gallant JL. Semantic Representations during Language Comprehension Are Affected by Context. J Neurosci 2023; 43:3144-3158. [PMID: 36973013 PMCID: PMC10146529 DOI: 10.1523/jneurosci.2459-21.2023] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/17/2023] [Accepted: 02/26/2023] [Indexed: 03/29/2023] Open
Abstract
The meaning of words in natural language depends crucially on context. However, most neuroimaging studies of word meaning use isolated words and isolated sentences with little context. Because the brain may process natural language differently from how it processes simplified stimuli, there is a pressing need to determine whether prior results on word meaning generalize to natural language. fMRI was used to record human brain activity while four subjects (two female) read words in four conditions that vary in context: narratives, isolated sentences, blocks of semantically similar words, and isolated words. We then compared the signal-to-noise ratio (SNR) of evoked brain responses, and we used a voxelwise encoding modeling approach to compare the representation of semantic information across the four conditions. We find four consistent effects of varying context. First, stimuli with more context evoke brain responses with higher SNR across bilateral visual, temporal, parietal, and prefrontal cortices compared with stimuli with little context. Second, increasing context increases the representation of semantic information across bilateral temporal, parietal, and prefrontal cortices at the group level. In individual subjects, only natural language stimuli consistently evoke widespread representation of semantic information. Third, context affects voxel semantic tuning. Finally, models estimated using stimuli with little context do not generalize well to natural language. These results show that context has large effects on the quality of neuroimaging data and on the representation of meaning in the brain. Thus, neuroimaging studies that use stimuli with little context may not generalize well to the natural regime.SIGNIFICANCE STATEMENT Context is an important part of understanding the meaning of natural language, but most neuroimaging studies of meaning use isolated words and isolated sentences with little context. Here, we examined whether the results of neuroimaging studies that use out-of-context stimuli generalize to natural language. We find that increasing context improves the quality of neuro-imaging data and changes where and how semantic information is represented in the brain. These results suggest that findings from studies using out-of-context stimuli may not generalize to natural language used in daily life.
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Affiliation(s)
- Fatma Deniz
- Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720
- Institute of Software Engineering and Theoretical Computer Science, Technische Universität Berlin, Berlin 10623, Germany
| | - Christine Tseng
- Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720
| | - Leila Wehbe
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
| | - Tom Dupré la Tour
- Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720
| | - Jack L Gallant
- Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720
- Department of Psychology, University of California, Berkeley, California 94720
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49
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Woolnough O, Donos C, Murphy E, Rollo PS, Roccaforte ZJ, Dehaene S, Tandon N. Spatiotemporally distributed frontotemporal networks for sentence reading. Proc Natl Acad Sci U S A 2023; 120:e2300252120. [PMID: 37068244 PMCID: PMC10151604 DOI: 10.1073/pnas.2300252120] [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: 01/09/2023] [Accepted: 03/14/2023] [Indexed: 04/19/2023] Open
Abstract
Reading a sentence entails integrating the meanings of individual words to infer more complex, higher-order meaning. This highly rapid and complex human behavior is known to engage the inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) in the language-dominant hemisphere, yet whether there are distinct contributions of these regions to sentence reading is still unclear. To probe these neural spatiotemporal dynamics, we used direct intracranial recordings to measure neural activity while reading sentences, meaning-deficient Jabberwocky sentences, and lists of words or pseudowords. We isolated two functionally and spatiotemporally distinct frontotemporal networks, each sensitive to distinct aspects of word and sentence composition. The first distributed network engages the IFG and MTG, with IFG activity preceding MTG. Activity in this network ramps up over the duration of a sentence and is reduced or absent during Jabberwocky and word lists, implying its role in the derivation of sentence-level meaning. The second network engages the superior temporal gyrus and the IFG, with temporal responses leading those in frontal lobe, and shows greater activation for each word in a list than those in sentences, suggesting that sentential context enables greater efficiency in the lexical and/or phonological processing of individual words. These adjacent, yet spatiotemporally dissociable neural mechanisms for word- and sentence-level processes shed light on the richly layered semantic networks that enable us to fluently read. These results imply distributed, dynamic computation across the frontotemporal language network rather than a clear dichotomy between the contributions of frontal and temporal structures.
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Affiliation(s)
- Oscar Woolnough
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Cristian Donos
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Faculty of Physics, University of Bucharest, 050663Bucharest, Romania
| | - Elliot Murphy
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Patrick S. Rollo
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Zachary J. Roccaforte
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Stanislas Dehaene
- Cognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, NeuroSpin Center, 91191Gif-sur-Yvette, France
- Collège de France, 75005Paris, France
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
- Memorial Hermann Hospital, Texas Medical Center, Houston, TX77030
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50
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Veréb D, Mijalkov M, Chang YW, Canal-Garcia A, Gomez-Ruis E, Maass A, Villeneuve S, Volpe G, Pereira JB. Functional gradients of the medial parietal cortex in a healthy cohort with family history of sporadic Alzheimer's disease. Alzheimers Res Ther 2023; 15:82. [PMID: 37076873 PMCID: PMC10114342 DOI: 10.1186/s13195-023-01228-3] [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: 09/05/2022] [Accepted: 04/05/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND The medial parietal cortex is an early site of pathological protein deposition in Alzheimer's disease (AD). Previous studies have identified different subregions within this area; however, these subregions are often heterogeneous and disregard individual differences or subtle pathological alterations in the underlying functional architecture. To address this limitation, here we measured the continuous connectivity gradients of the medial parietal cortex and assessed their relationship with cerebrospinal fluid (CSF) biomarkers, ApoE ε4 carriership and memory in asymptomatic individuals at risk to develop AD. METHODS Two hundred sixty-three cognitively normal participants with a family history of sporadic AD who underwent resting-state and task-based functional MRI using encoding and retrieval tasks were included from the PREVENT-AD cohort. A novel method for characterizing spatially continuous patterns of functional connectivity was applied to estimate functional gradients in the medial parietal cortex during the resting-state and task-based conditions. This resulted in a set of nine parameters that described the appearance of the gradient across different spatial directions. We performed correlation analyses to assess whether these parameters were associated with CSF biomarkers of phosphorylated tau181 (p-tau), total tau (t-tau), and amyloid-ß1-42 (Aß). Then, we compared the spatial parameters between ApoE ε4 carriers and noncarriers, and evaluated the relationship between these parameters and memory. RESULTS Alterations involving the superior part of the medial parietal cortex, which was connected to regions of the default mode network, were associated with higher p-tau, t-tau levels as well as lower Aß/p-tau levels during the resting-state condition (p < 0.01). Similar alterations were found in ApoE ε4 carriers compared to non-carriers (p < 0.003). In contrast, lower immediate memory scores were associated with changes in the middle part of the medial parietal cortex, which was connected to inferior temporal and posterior parietal regions, during the encoding task (p = 0.001). No results were found when using conventional connectivity measures. CONCLUSIONS Functional alterations in the medial parietal gradients are associated with CSF AD biomarkers, ApoE ε4 carriership, and lower memory in an asymptomatic cohort with a family history of sporadic AD, suggesting that functional gradients are sensitive to subtle changes associated with early AD stages.
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Affiliation(s)
- Dániel Veréb
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
| | - Mite Mijalkov
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Yu-Wei Chang
- Department of Physics, Goteborg University, Goteborg, Sweden
| | - Anna Canal-Garcia
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | | | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), 39120, Magdeburg, Germany
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Giovanni Volpe
- Department of Physics, Goteborg University, Goteborg, Sweden
| | - Joana B Pereira
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
- Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
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