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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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2
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Molloy MF, Osher DE. A personalized cortical atlas for functional regions of interest. J Neurophysiol 2023; 130:1067-1080. [PMID: 37727907 PMCID: PMC10994647 DOI: 10.1152/jn.00108.2023] [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: 03/14/2023] [Revised: 09/18/2023] [Accepted: 09/18/2023] [Indexed: 09/21/2023] Open
Abstract
Advances in functional MRI (fMRI) allow mapping an individual's brain function in vivo. Task fMRI can localize domain-specific regions of cognitive processing or functional regions of interest (fROIs) within an individual. Moreover, data from resting state (no task) fMRI can be used to define an individual's connectome, which can characterize that individual's functional organization via connectivity-based parcellations. However, can connectivity-based parcellations alone predict an individual's fROIs? Here, we describe an approach to compute individualized rs-fROIs (i.e., regions that correspond to given fROI constructed using only resting state data) for motor control, working memory, high-level vision, and language comprehension. The rs-fROIs were computed and validated using a large sample of young adults (n = 1,018) with resting state and task fMRI from the Human Connectome Project. First, resting state parcellations were defined across a sequence of resolutions from broadscale to fine-grained networks in a training group of 500 individuals. Second, 21 rs-fROIs were defined from the training group by identifying the rs network that most closely matched task-defined fROIs across all individuals. Third, the selectivity of rs-fROIs was investigated in a training set of the remaining 518 individuals. All computed rs-fROIs were indeed selective for their preferred category. Critically, the rs-fROIs had higher selectivity than probabilistic atlas parcels for nearly all fROIs. In conclusion, we present a potential approach to define selective fROIs on an individual-level circumventing the need for multiple task-based localizers.NEW & NOTEWORTHY We compute individualized resting state parcels that identify an individual's own functional regions of interest (fROIs) for high-level vision, language comprehension, motor control, and working memory, using only their functional connectome. This approach demonstrates a rapid and powerful alternative for finding a large set of fROIs in an individual, using only their unique connectivity pattern, which does not require the costly acquisition of multiple fMRI localizer tasks.
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Affiliation(s)
- M. Fiona Molloy
- Department of Psychology, The Ohio State University, Columbus, Ohio, United States
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States
| | - David E. Osher
- Department of Psychology, The Ohio State University, Columbus, Ohio, United States
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3
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Schroeder ML, Sherafati A, Ulbrich RL, Wheelock MD, Svoboda AM, Klein ED, George TG, Tripathy K, Culver JP, Eggebrecht AT. Mapping cortical activations underlying covert and overt language production using high-density diffuse optical tomography. Neuroimage 2023; 276:120190. [PMID: 37245559 PMCID: PMC10760405 DOI: 10.1016/j.neuroimage.2023.120190] [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: 12/27/2022] [Revised: 05/05/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023] Open
Abstract
Gold standard neuroimaging modalities such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and more recently electrocorticography (ECoG) have provided profound insights regarding the neural mechanisms underlying the processing of language, but they are limited in applications involving naturalistic language production especially in developing brains, during face-to-face dialogues, or as a brain-computer interface. High-density diffuse optical tomography (HD-DOT) provides high-fidelity mapping of human brain function with comparable spatial resolution to that of fMRI but in a silent and open scanning environment similar to real-life social scenarios. Therefore, HD-DOT has potential to be used in naturalistic settings where other neuroimaging modalities are limited. While HD-DOT has been previously validated against fMRI for mapping the neural correlates underlying language comprehension and covert (i.e., "silent") language production, HD-DOT has not yet been established for mapping the cortical responses to overt (i.e., "out loud") language production. In this study, we assessed the brain regions supporting a simple hierarchy of language tasks: silent reading of single words, covert production of verbs, and overt production of verbs in normal hearing right-handed native English speakers (n = 33). First, we found that HD-DOT brain mapping is resilient to movement associated with overt speaking. Second, we observed that HD-DOT is sensitive to key activations and deactivations in brain function underlying the perception and naturalistic production of language. Specifically, statistically significant results were observed that show recruitment of regions in occipital, temporal, motor, and prefrontal cortices across all three tasks after performing stringent cluster-extent based thresholding. Our findings lay the foundation for future HD-DOT studies of imaging naturalistic language comprehension and production during real-life social interactions and for broader applications such as presurgical language assessment and brain-machine interfaces.
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Affiliation(s)
- Mariel L Schroeder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA
| | - Arefeh Sherafati
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Rachel L Ulbrich
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; University of Missouri School of Medicine, Columbia, MO, USA
| | - Muriah D Wheelock
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Alexandra M Svoboda
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; University of Cincinnati Medical Center, Cincinnati, Oh, USA
| | - Emma D Klein
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tessa G George
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Kalyan Tripathy
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Washington University School of Medicine, St Louis, MO, USA
| | - Joseph P Culver
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Division of Biology & Biomedical Sciences, Washington University School of Medicine, St Louis, MO, USA; Department of Physics, Washington University in St. Louis, St Louis, MO, USA; Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO, USA
| | - Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA; Division of Biology & Biomedical Sciences, Washington University School of Medicine, St Louis, MO, USA; Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO, USA.
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4
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Yuan B, Xie H, Wang Z, Xu Y, Zhang H, Liu J, Chen L, Li C, Tan S, Lin Z, Hu X, Gu T, Lu J, Liu D, Wu J. The domain-separation language network dynamics in resting state support its flexible functional segregation and integration during language and speech processing. Neuroimage 2023; 274:120132. [PMID: 37105337 DOI: 10.1016/j.neuroimage.2023.120132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 04/29/2023] Open
Abstract
Modern linguistic theories and network science propose that language and speech processing are organized into hierarchical, segregated large-scale subnetworks, with a core of dorsal (phonological) stream and ventral (semantic) stream. The two streams are asymmetrically recruited in receptive and expressive language or speech tasks, which showed flexible functional segregation and integration. We hypothesized that the functional segregation of the two streams was supported by the underlying network segregation. A dynamic conditional correlation approach was employed to construct framewise time-varying language networks and k-means clustering was employed to investigate the temporal-reoccurring patterns. We found that the framewise language network dynamics in resting state were robustly clustered into four states, which dynamically reconfigured following a domain-separation manner. Spatially, the hub distributions of the first three states highly resembled the neurobiology of speech perception and lexical-phonological processing, speech production, and semantic processing, respectively. The fourth state was characterized by the weakest functional connectivity and was regarded as a baseline state. Temporally, the first three states appeared exclusively in limited time bins (∼15%), and most of the time (> 55%), state 4 was dominant. Machine learning-based dFC-linguistics prediction analyses showed that dFCs of the four states significantly predicted individual linguistic performance. These findings suggest a domain-separation manner of language network dynamics in resting state, which forms a dynamic "meta-network" framework to support flexible functional segregation and integration during language and speech processing.
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Affiliation(s)
- Binke Yuan
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, China; Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.
| | - Hui Xie
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Zhihao Wang
- CNRS - Centre d'Economie de la Sorbonne, Panthéon-Sorbonne University, France
| | - Yangwen Xu
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento 38123, Italy
| | - Hanqing Zhang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Jiaxuan Liu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Lifeng Chen
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Chaoqun Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Shiyao Tan
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Zonghui Lin
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Xin Hu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Tianyi Gu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Junfeng Lu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Dongqiang Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China.
| | - Jinsong Wu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
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5
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Kernbach JM, Hartwigsen G, Lim JS, Bae HJ, Yu KH, Schlaug G, Bonkhoff A, Rost NS, Bzdok D. Bayesian stroke modeling details sex biases in the white matter substrates of aphasia. Commun Biol 2023; 6:354. [PMID: 37002267 PMCID: PMC10066402 DOI: 10.1038/s42003-023-04733-1] [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: 07/26/2022] [Accepted: 03/20/2023] [Indexed: 04/03/2023] Open
Abstract
Ischemic cerebrovascular events often lead to aphasia. Previous work provided hints that such strokes may affect women and men in distinct ways. Women tend to suffer strokes with more disabling language impairment, even if the lesion size is comparable to men. In 1401 patients, we isolate data-led representations of anatomical lesion patterns and hand-tailor a Bayesian analytical solution to carefully model the degree of sex divergence in predicting language outcomes ~3 months after stroke. We locate lesion-outcome effects in the left-dominant language network that highlight the ventral pathway as a core lesion focus across different tests of language performance. We provide detailed evidence for sex-specific brain-behavior associations in the domain-general networks associated with cortico-subcortical pathways, with unique contributions of the fornix in women and cingular fiber bundles in men. Our collective findings suggest diverging white matter substrates in how stroke causes language deficits in women and men. Clinically acknowledging such sex disparities has the potential to improve personalized treatment for stroke patients worldwide.
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Affiliation(s)
- Julius M Kernbach
- Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University Hospital, Aachen, Germany
- Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Music, Neuroimaging, and Stroke Recovery Laboratory, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Gesa Hartwigsen
- Max Planck Institute for Human Cognitive and Brain Sciences, Lise Meitner Research Group Cognition and Plasticity, Leipzig, Germany
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Gottfried Schlaug
- Music, Neuroimaging, and Stroke Recovery Laboratory, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - Anna Bonkhoff
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Natalia S Rost
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Danilo Bzdok
- Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, Faculty of Medicine, School of Computer Science, McGill University, Montreal, QC, Canada.
- Mila - Quebec Artificial Intelligence Institute, Montreal, QC, Canada.
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6
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Forkel SJ, Labache L, Nachev P, Thiebaut de Schotten M, Hesling I. Stroke disconnectome decodes reading networks. Brain Struct Funct 2022; 227:2897-2908. [PMID: 36192557 DOI: 10.1007/s00429-022-02575-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 09/19/2022] [Indexed: 12/31/2022]
Abstract
Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.
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Affiliation(s)
- Stephanie J Forkel
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France. .,Donders Centre for Cognition, Radboud University, Thomas van Aquinostraat 4, 6525 GD, Nijmegen, The Netherlands. .,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,Department of Neurosurgery, Technical University of Munich School of Medicine, Munich, Germany.
| | - Loïc Labache
- Department of Psychology, Yale University, New Haven, CT, 06511, USA
| | - Parashkev Nachev
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3GB, UK
| | - Michel Thiebaut de Schotten
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Isabelle Hesling
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
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7
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Fang S, Weng S, Li L, Guo Y, Fan X, Zhang Z, Jiang T, Wang Y. Association of homotopic areas in the right hemisphere with language deficits in the short term after tumor resection. J Neurosurg 2022; 138:1206-1215. [PMID: 36308477 DOI: 10.3171/2022.9.jns221475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
It is important to identify language deficit and recovery in the week following a tumor resection procedure. The homotopic Broca’s area and the superior longitudinal fasciculus in the right hemisphere participate in language functional compensation. However, the nodes in these structures, as well as their contributions to language rehabilitation, remain unknown. In this study, the authors investigated the association of homotopic areas in the right hemisphere with language deficit.
METHODS
The authors retrospectively reviewed the records of 50 right-handed patients with left hemispheric lower-grade glioma that had been surgically treated between June 2020 and May 2022. The patients were divided into normal and aphasia groups based on their postoperative aphasia quotient (AQ) from the Western Aphasia Battery. Preoperative (within 24 hours before surgery) and postoperative (7 days after tumor resection) diffusion tensor images were used to reveal alterations of structural networks by using graphic theory analysis. The shortest distance between the glioma and the nodes belonging to the language network (SDTN) was quantitatively assessed. Pearson’s correlation and causal mediation analyses were used to identify correlations and mediator factors among SDTN, topological properties, and AQs.
RESULTS
Postoperative nodal local efficiency of the node dorsal Brodmann area (BA) 44 (A44d; p = 0.0330), nodal clustering coefficient of the nodes A44d (p = 0.0402) and dorsal lateral BA6 (A6dl; p = 0.0097), and nodal degree centrality (p = 0.0058) of the node medial BA7 (A7m) were higher in the normal group than in the aphasia group. SDTN was positively correlated with postoperative AQ (r = 0.457, p = 0.0009) and ΔAQ (r = 0.588, p < 0.0001). The nodal local efficiency of node A44d and the nodal efficiency, nodal betweenness centrality, and degree centrality of node A7m were mediators of SDTN and postoperative AQs.
CONCLUSIONS
The decreased ability of nodes A44d, A6dl, and A7m to convey information in the right hemisphere was associated with short-term language deficits after tumor resection. A smaller SDTN induced a worsened postoperative language deficit through a significant decrease in the ability to convey information from these three nodes.
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Affiliation(s)
- Shengyu Fang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
- Beijing Neurosurgical Institute, Capital Medical University, Beijing; and
| | - Shimeng Weng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing; and
| | - Lianwang Li
- Beijing Neurosurgical Institute, Capital Medical University, Beijing; and
| | - Yuhao Guo
- Beijing Neurosurgical Institute, Capital Medical University, Beijing; and
| | - Xing Fan
- Beijing Neurosurgical Institute, Capital Medical University, Beijing; and
| | - Zhong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
| | - Tao Jiang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
- Research Unit of Accurate Diagnosis, Treatment, and Translational Medicine of Brain Tumors, Chinese Academy of Medical Sciences, Beijing, China
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing
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Berro DH, Lemée JM, Leiber LM, Emery E, Menei P, Ter Minassian A. Overt speech critically changes lateralization index and did not allow determination of hemispheric dominance for language: an fMRI study. BMC Neurosci 2021; 22:74. [PMID: 34852787 PMCID: PMC8638205 DOI: 10.1186/s12868-021-00671-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 09/09/2021] [Indexed: 11/25/2022] Open
Abstract
Background Pre-surgical mapping of language using functional MRI aimed principally to determine the dominant hemisphere. This mapping is currently performed using covert linguistic task in way to avoid motion artefacts potentially biasing the results. However, overt task is closer to natural speaking, allows a control on the performance of the task, and may be easier to perform for stressed patients and children. However, overt task, by activating phonological areas on both hemispheres and areas involved in pitch prosody control in the non-dominant hemisphere, is expected to modify the determination of the dominant hemisphere by the calculation of the lateralization index (LI). Objective Here, we analyzed the modifications in the LI and the interactions between cognitive networks during covert and overt speech task. Methods Thirty-three volunteers participated in this study, all but four were right-handed. They performed three functional sessions consisting of (1) covert and (2) overt generation of a short sentence semantically linked with an audibly presented word, from which we estimated the “Covert” and “Overt” contrasts, and a (3) resting-state session. The resting-state session was submitted to spatial independent component analysis to identify language network at rest (LANG), cingulo-opercular network (CO), and ventral attention network (VAN). The LI was calculated using the bootstrapping method. Results The LI of the LANG was the most left-lateralized (0.66 ± 0.38). The LI shifted from a moderate leftward lateralization for the Covert contrast (0.32 ± 0.38) to a right lateralization for the Overt contrast (− 0.13 ± 0.30). The LI significantly differed from each other. This rightward shift was due to the recruitment of right hemispheric temporal areas together with the nodes of the CO. Conclusion Analyzing the overt speech by fMRI allowed improvement in the physiological knowledge regarding the coordinated activity of the intrinsic connectivity networks. However, the rightward shift of the LI in this condition did not provide the basic information on the hemispheric language dominance. Overt linguistic task cannot be recommended for clinical purpose when determining hemispheric dominance for language. Supplementary Information The online version contains supplementary material available at 10.1186/s12868-021-00671-y.
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Affiliation(s)
- David Hassanein Berro
- Department of Neurosurgery, University Hospital of Caen Normandy, Avenue de la Côte de Nacre, 14000, Caen, France. .,Normandie Univ, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP Cyceron, Caen, France. .,INSERM, CRCINA, Team 17, IRIS building, Angers, France.
| | - Jean-Michel Lemée
- INSERM, CRCINA, Team 17, IRIS building, Angers, France.,Department of Neurosurgery, University Hospital of Angers, Angers, France
| | | | - Evelyne Emery
- Department of Neurosurgery, University Hospital of Caen Normandy, Avenue de la Côte de Nacre, 14000, Caen, France.,INSERM, UMR-S U1237, PhIND group, GIP Cyceron, Caen, France
| | - Philippe Menei
- INSERM, CRCINA, Team 17, IRIS building, Angers, France.,Department of Neurosurgery, University Hospital of Angers, Angers, France
| | - Aram Ter Minassian
- Department of Anesthesiology, University Hospital of Angers, Angers, France.,LARIS, ISISV team, University of Angers, Angers, France
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9
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Valeriani D, Simonyan K. The dynamic connectome of speech control. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200256. [PMID: 34482717 DOI: 10.1098/rstb.2020.0256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Speech production relies on the orchestrated control of multiple brain regions. The specific, directional influences within these networks remain poorly understood. We used regression dynamic causal modelling to infer the whole-brain directed (effective) connectivity from functional magnetic resonance imaging data of 36 healthy individuals during the production of meaningful English sentences and meaningless syllables. We identified that the two dynamic connectomes have distinct architectures that are dependent on the complexity of task production. The speech was regulated by a dynamic neural network, the most influential nodes of which were centred around superior and inferior parietal areas and influenced the whole-brain network activity via long-ranging coupling with primary sensorimotor, prefrontal, temporal and insular regions. By contrast, syllable production was controlled by a more compressed, cost-efficient network structure, involving sensorimotor cortico-subcortical integration via superior parietal and cerebellar network hubs. These data demonstrate the mechanisms by which the neural network reorganizes the connectivity of its influential regions, from supporting the fundamental aspects of simple syllabic vocal motor output to multimodal information processing of speech motor output. This article is part of the theme issue 'Vocal learning in animals and humans'.
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Affiliation(s)
- Davide Valeriani
- Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA.,Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA
| | - Kristina Simonyan
- Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA.,Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA.,Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
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Cui L, Chen K, Huang L, Sun J, Lv Y, Jia X, Guo Q. Changes in local brain function in mild cognitive impairment due to semantic dementia. CNS Neurosci Ther 2021; 27:587-602. [PMID: 33650764 PMCID: PMC8025655 DOI: 10.1111/cns.13621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 01/24/2021] [Accepted: 01/28/2021] [Indexed: 11/30/2022] Open
Abstract
AIMS Mild cognitive impairment due to semantic dementia represents the preclinical stage, involving cognitive decline dominated by semantic impairment below the semantic dementia standard. Therefore, studying mild cognitive impairment due to semantic dementia may identify changes in patients before progression to dementia. However, whether changes in local functional activity occur in preclinical stages of semantic dementia remains unknown. Here, we explored local functional changes in patients with mild cognitive impairment due to semantic dementia using resting-state functional MRI. METHODS We administered a battery of neuropsychological tests to twenty-two patients with mild cognitive impairment due to semantic dementia (MCI-SD group) and nineteen healthy controls (HC group). We performed structural MRI to compare gray matter volumes, and resting-state functional MRI with multiple sub-bands and indicators to evaluate functional activity. RESULTS Neuropsychological tests revealed a significant decline in semantic performance in the MCI-SD group, but no decline in other cognitive domains. Resting-state functional MRI revealed local functional changes in multiple brain regions in the MCI-SD group, distributed in different sub-bands and indicators. In the normal band, local functional changes were only in the gray matter atrophic area. In the other sub-bands, more regions with local functional changes outside atrophic areas were found across various indicators. Among these, the degree centrality of the left precuneus in the MCI-SD group was positively correlated with general semantic tasks (oral sound naming, word-picture verification). CONCLUSION Our study revealed local functional changes in mild cognitive impairment due to semantic dementia, some of which were located outside the atrophic gray matter. Driven by functional connectivity changes, the left precuneus might play a role in preclinical semantic dementia. The study proved the value of frequency-dependent sub-bands, especially the slow-2 and slow-3 sub-bands.
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Affiliation(s)
- Liang Cui
- Department of GerontologyShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
| | - Keliang Chen
- Department of NeurologyHuashan HospitalFudan UniversityShanghaiChina
| | - Lin Huang
- Department of GerontologyShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
| | - Jiawei Sun
- School of Information and Electronics TechnologyJiamusi UniversityJiamusiChina
| | - Yating Lv
- Institute of Psychological SciencesHangzhou Normal UniversityHangzhouChina
- Zhejiang Key Laboratory for Research in Assessment of Cognitive ImpairmentsHangzhouChina
| | - Xize Jia
- Institute of Psychological SciencesHangzhou Normal UniversityHangzhouChina
- Zhejiang Key Laboratory for Research in Assessment of Cognitive ImpairmentsHangzhouChina
| | - Qihao Guo
- Department of GerontologyShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
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Tzourio-Mazoyer N, Labache L, Zago L, Hesling I, Mazoyer B. Neural support of manual preference revealed by BOLD variations during right and left finger-tapping in a sample of 287 healthy adults balanced for handedness. Laterality 2021; 26:398-420. [PMID: 33403938 DOI: 10.1080/1357650x.2020.1862142] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
We have identified the brain areas involved in Manual Preference (MP) in 143 left-handers (LH) and 144 right-handers (RH). First, we selected the pairs of homotopic regions of interest (hROIs) of the AICHA atlas with significant contralateral activation and asymmetry during the right hand and the left hand Finger-Tapping (FT) both in RH and LH. Thirteen hROIs were selected, including the primary and secondary sensorimotor and premotor cortices, thalamus, dorsal putamen, and cerebellar lobule IV. In both groups, contralateral activations and ipsilateral deactivations were seen, with stronger asymmetries when the preferred hand was used. Comparing with different models for the prediction of MP, we found that the differences in activity during preferred hand minus non-preferred hand movement in 11 contralateral and/or ipsilateral hROIS were best at explaining handedness distribution. Two different mechanisms were identified: 1. Stronger contralateral activity of cortical and cerebellar motor areas during right hand movement, seen in both groups but modulated by handedness; 2. Stronger deactivation in ipsilateral areas during dominant hand movement in both groups, LH here mirroring RH. The present study thus demonstrates that handedness neural support is complex and not simply based on a mirrored organization of hand motor areas.
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Affiliation(s)
- N Tzourio-Mazoyer
- Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,CEA, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - L Labache
- Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,CEA, Institut des Maladies Neurodégénératives, Bordeaux, France.,Institut de Mathématiques de Bordeaux, Université de Bordeaux, Bordeaux, France.,Bordeaux INP, Institut de Mathématiques de Bordeaux, Bordeaux, France.,INRIA Bordeaux Sud-Ouest, Institut de Mathématiques de Bordeaux, Talence, France
| | - L Zago
- Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,CEA, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - I Hesling
- Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,CEA, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - B Mazoyer
- Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France.,CNRS, Institut des Maladies Neurodégénératives, Bordeaux, France.,CEA, Institut des Maladies Neurodégénératives, Bordeaux, France.,Institut des Maladies Neurodégénératives Clinique, Centre Hospitalier Universitaire, Bordeaux, France
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Berro DH, Lemée JM, Leiber LM, Emery E, Menei P, Ter Minassian A. Overt speech feasibility using continuous functional magnetic resonance imaging: Isolation of areas involved in phonology and prosody. J Neurosci Res 2020; 98:2554-2565. [PMID: 32896001 DOI: 10.1002/jnr.24723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 08/05/2020] [Accepted: 08/13/2020] [Indexed: 01/20/2023]
Abstract
To avoid motion artifacts, almost all speech-related functional magnetic resonance imagings (fMRIs) are performed covertly to detect language activations. This method may be difficult to execute, especially by patients with brain tumors, and does not allow the identification of phonological areas. Here, we aimed to evaluate overt task feasibility. Thirty-three volunteers participated in this study. They performed two functional sessions of covert and overt generation of a short sentence semantically linked with a word. Three main contrasts were performed: Covert and Overt for the isolation of language-activated areas, and Overt > Covert for the isolation of the motor cortical activation of speech. fMRI data preprocessing was performed with and without unwarping, and with and without regression of movement parameters as confounding variables. All types of results were compared to each other. For the Overt contrast, Dice coefficients showed strong overlap between each pair of types of results: 0.98 for the pair with and without unwarping, and 0.9 for the pair with and without movement parameter regression. The Overt > Covert contrast allowed isolation of motor laryngeal activations with high statistical reliability and revealed the right-lateralized temporal activity related to acoustic feedback. Overt speaking during magnetic resonance imaging induced few artifacts and did not significantly affect the results, allowing the identification of areas involved in primary motor control and prosodic regulation of speech. Unwarping and motion artifact regression in the postprocessing step, seem to not be necessary. Changes in lateralization of cortical activity by overt speech shall be explored before using these tasks for presurgical mapping.
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Affiliation(s)
- David Hassanein Berro
- Department of Neurosurgery, University Hospital of Caen Normandy, Caen, France.,Normandie Univ, UNICAEN, CEA, CNRS, ISTCT/CERVOxy Group, GIP Cyceron, Caen, France.,INSERM, CRCINA, Equipe 17, Bâtiment IRIS, Angers, France
| | - Jean-Michel Lemée
- INSERM, CRCINA, Equipe 17, Bâtiment IRIS, Angers, France.,Department of Neurosurgery, University Hospital of Angers, Angers, France
| | | | - Evelyne Emery
- Department of Neurosurgery, University Hospital of Caen Normandy, Caen, France.,INSERM, UMR-S U1237, PhIND Group, GIP Cyceron, Caen, France
| | - Philippe Menei
- INSERM, CRCINA, Equipe 17, Bâtiment IRIS, Angers, France.,Department of Neurosurgery, University Hospital of Angers, Angers, France
| | - Aram Ter Minassian
- Department of Anesthesiology, University Hospital of Angers, Angers, France.,LARIS, ISISV Team, University of Angers, Angers, France
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Narayana S, Parsons MB, Zhang W, Franklin C, Schiller K, Choudhri AF, Fox PT, LeDoux MS, Cannito M. Mapping typical and hypokinetic dysarthric speech production network using a connected speech paradigm in functional MRI. NEUROIMAGE-CLINICAL 2020; 27:102285. [PMID: 32521476 PMCID: PMC7284131 DOI: 10.1016/j.nicl.2020.102285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 05/13/2020] [Accepted: 05/17/2020] [Indexed: 12/18/2022]
Abstract
We developed a task paradigm whereby subjects spoke aloud while minimizing head motion during functional MRI (fMRI) in order to better understand the neural circuitry involved in motor speech disorders due to dysfunction of the central nervous system. To validate our overt continuous speech paradigm, we mapped the speech production network (SPN) in typical speakers (n = 19, 10 females) and speakers with hypokinetic dysarthria as a manifestation of Parkinson disease (HKD; n = 21, 8 females) in fMRI. We then compared it with the SPN derived during overt speech production by 15O-water PET in the same group of typical speakers and another HKD cohort (n = 10, 2 females). The fMRI overt connected speech paradigm did not result in excessive motion artifacts and successfully identified the same brain areas demonstrated in the PET studies in the two cohorts. The SPN derived in fMRI demonstrated significant spatial overlap with the corresponding PET derived maps (typical speakers: r = 0.52; speakers with HKD: r = 0.43) and identified the components of the neural circuit of speech production belonging to the feedforward and feedback subsystems. The fMRI study in speakers with HKD identified significantly decreased activity in critical feedforward (bilateral dorsal premotor and motor cortices) and feedback (auditory and somatosensory areas) subsystems replicating previous PET study findings in this cohort. These results demonstrate that the overt connected speech paradigm is feasible during fMRI and can accurately localize the neural substrates of typical and disordered speech production. Our fMRI paradigm should prove useful for study of motor speech and voice disorders, including stuttering, apraxia of speech, dysarthria, and spasmodic dysphonia.
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Affiliation(s)
- Shalini Narayana
- Department of Pediatrics, Division of Pediatric Neurology, University of Tennessee Health Science Center, Memphis, TN 38103, USA; Neuroscience Institute, Le Bonheur Children's Hospital, Memphis, TN 38103, USA; Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
| | - Megan B Parsons
- School of Communication Sciences and Disorders, University of Memphis, Memphis, TN 38152, USA
| | - Wei Zhang
- Research Imaging Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Crystal Franklin
- Research Imaging Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Katherine Schiller
- Department of Pediatrics, Division of Pediatric Neurology, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Asim F Choudhri
- Neuroscience Institute, Le Bonheur Children's Hospital, Memphis, TN 38103, USA; Department of Radiology, Division of Neuroradiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Mark S LeDoux
- Veracity Neuroscience LLC, Memphis, TN 38157, USA; Department of Psychology and School of Health Studies, University of Memphis, Memphis, TN 38152, USA
| | - Michael Cannito
- Department of Communicative Disorders, University of Louisiana at Lafayette, USA
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