1
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Grosshagauer S, Woletz M, Vasileiadi M, Linhardt D, Nohava L, Schuler AL, Windischberger C, Williams N, Tik M. Chronometric TMS-fMRI of personalized left dorsolateral prefrontal target reveals state-dependency of subgenual anterior cingulate cortex effects. Mol Psychiatry 2024; 29:2678-2688. [PMID: 38532009 PMCID: PMC11420068 DOI: 10.1038/s41380-024-02535-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
Transcranial magnetic stimulation (TMS) applied to a left dorsolateral prefrontal cortex (DLPFC) area with a specific connectivity profile to the subgenual anterior cingulate cortex (sgACC) has emerged as a highly effective non-invasive treatment option for depression. However, antidepressant outcomes demonstrate significant variability among therapy plans and individuals. One overlooked contributing factor is the individual brain state at the time of treatment. In this study we used interleaved TMS-fMRI to investigate the influence of brain state on acute TMS effects, both locally and remotely. TMS was performed during rest and during different phases of cognitive task processing. Twenty healthy participants were included in this study. In the first session, imaging data for TMS targeting were acquired, allowing for identification of individualized targets in the left DLPFC based on highest anti-correlation with the sgACC. The second session involved chronometric interleaved TMS-fMRI measurements, with 10 Hz triplets of TMS administered during rest and at distinct timings during an N-back task. Consistent with prior findings, interleaved TMS-fMRI revealed significant BOLD activation changes in the targeted network. The precise timing of TMS relative to the cognitive states during the task demonstrated distinct BOLD response in clinically relevant brain regions, including the sgACC. Employing a standardized timing approach for TMS using a task revealed more consistent modulation of the sgACC at the group level compared to stimulation during rest. In conclusion, our findings strongly suggest that acute local and remote effects of TMS are influenced by brain state during stimulation. This study establishes a basis for considering brain state as a significant factor in designing treatment protocols, possibly improving TMS treatment outcomes.
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Affiliation(s)
- Sarah Grosshagauer
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Michael Woletz
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Maria Vasileiadi
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - David Linhardt
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Lena Nohava
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Anna-Lisa Schuler
- Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christian Windischberger
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Nolan Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Martin Tik
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
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2
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Tanaka M, Battaglia S, Giménez-Llort L, Chen C, Hepsomali P, Avenanti A, Vécsei L. Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry. Cells 2024; 13:790. [PMID: 38786014 PMCID: PMC11120114 DOI: 10.3390/cells13100790] [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: 04/16/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Abstract
Translational research in neurological and psychiatric diseases is a rapidly advancing field that promises to redefine our approach to these complex conditions [...].
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Affiliation(s)
- Masaru Tanaka
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
| | - Simone Battaglia
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Lydia Giménez-Llort
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain;
- Department of Psychiatry & Forensic Medicine, Faculty of Medicine, Campus Bellaterra, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi 755-8505, Japan;
| | - Piril Hepsomali
- School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ET, UK;
| | - Alessio Avenanti
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Neuropsychology and Cognitive Neuroscience Research Center (CINPSI Neurocog), Universidad Católica del Maule, Talca 3460000, Chile
| | - László Vécsei
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
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3
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Jing Y, Numssen O, Weise K, Kalloch B, Buchberger L, Haueisen J, Hartwigsen G, Knösche TR. Modeling the effects of transcranial magnetic stimulation on spatial attention. Phys Med Biol 2023; 68:214001. [PMID: 37783213 DOI: 10.1088/1361-6560/acff34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 10/02/2023] [Indexed: 10/04/2023]
Abstract
Objectives. Transcranial magnetic stimulation (TMS) has been widely used to modulate brain activity in healthy and diseased brains, but the underlying mechanisms are not fully understood. Previous research leveraged biophysical modeling of the induced electric field (E-field) to map causal structure-function relationships in the primary motor cortex. This study aims at transferring this localization approach to spatial attention, which helps to understand the TMS effects on cognitive functions, and may ultimately optimize stimulation schemes.Approach. Thirty right-handed healthy participants underwent a functional magnetic imaging (fMRI) experiment, and seventeen of them participated in a TMS experiment. The individual fMRI activation peak within the right inferior parietal lobule (rIPL) during a Posner-like attention task defined the center target for TMS. Thereafter, participants underwent 500 Posner task trials. During each trial, a 5-pulse burst of 10 Hz repetitive TMS (rTMS) was given over the rIPL to modulate attentional processing. The TMS-induced E-fields for every cortical target were correlated with the behavioral modulation to identify relevant cortical regions for attentional orientation and reorientation.Main results. We did not observe a robust correlation between E-field strength and behavioral outcomes, highlighting the challenges of transferring the localization method to cognitive functions with high neural response variability and complex network interactions. Nevertheless, TMS selectively inhibited attentional reorienting in five out of seventeen subjects, resulting in task-specific behavioral impairments. The BOLD-measured neuronal activity and TMS-evoked neuronal effects showed different patterns, which emphasizes the principal distinction between the neural activity being correlated with (or maybe even caused by) particular paradigms, and the activity of neural populations exerting a causal influence on the behavioral outcome.Significance. This study is the first to explore the mechanisms of TMS-induced attentional modulation through electrical field modeling. Our findings highlight the complexity of cognitive functions and provide a basis for optimizing attentional stimulation protocols.
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Affiliation(s)
- Ying Jing
- Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
| | - Ole Numssen
- Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
| | - Konstantin Weise
- Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Advanced Electromagnetics Group, Technische Universität Ilmenau, Helmholtzplatz 2, D-98693, Ilmenau, Germany
| | - Benjamin Kalloch
- Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Gustav-Kirchhoff-Straße 2, D-98693, Ilmenau, Germany
| | - Lena Buchberger
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
| | - Jens Haueisen
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Gustav-Kirchhoff-Straße 2, D-98693, Ilmenau, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, Neumarkt 9-19, D-04109, Leipzig, Germany
| | - Thomas R Knösche
- Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, D-04103, Leipzig, Germany
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Gustav-Kirchhoff-Straße 2, D-98693, Ilmenau, Germany
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4
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Abstract
Noninvasive brain stimulation (NIBS) techniques are widely used tools for the study and rehabilitation of cognitive functions. Different NIBS approaches aim to enhance or impair different cognitive processes. The methodological focus for achieving this has been on stimulation protocols that are considered either inhibitory or facilitatory. However, despite more than three decades of use, their application is based on incomplete and overly simplistic conceptualizations of mechanisms of action. Such misconception limits the usefulness of these approaches in the basic science and clinical domains. In this review, we challenge this view by arguing that stimulation protocols themselves are neither inhibitory nor facilitatory. Instead, we suggest that all induced effects reflect complex interactions of internal and external factors. Given these considerations, we present a novel model in which we conceptualize NIBS effects as an interaction between brain activity and the characteristics of the external stimulus. This interactive model can explain various phenomena in the brain stimulation literature that have been considered unexpected or paradoxical. We argue that these effects no longer seem paradoxical when considered from the viewpoint of state dependency.
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Affiliation(s)
- Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Juha Silvanto
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
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5
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Xu X, Li X, Qi X, Jiang X, Xing H, Huang X, Gong Q. Effect of regional intrinsic activity following two kinds of theta burst stimulation on precuneus. Hum Brain Mapp 2023; 44:2254-2265. [PMID: 36661276 PMCID: PMC10028626 DOI: 10.1002/hbm.26207] [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: 10/14/2022] [Revised: 12/18/2022] [Accepted: 01/04/2023] [Indexed: 01/21/2023] Open
Abstract
Theta burst stimulation (TBS) has been widely used in the treatment of mental disorders, but the cerebral functional difference between intermittent TBS (iTBS) and continuous TBS (cTBS) after one single session of stimulation is not clear. Here we applied resting-state functional magnetic resonance imaging (RS-FMRI) to evaluate the alterations in intrinsic brain activity after iTBS and cTBS in the precuneus. We recruited 32 healthy young adults and performed a single session each of iTBS and cTBS at a 1-week interval. RS-fMRI was collected at baseline before and immediately after the stimulation. Parameters for regional brain activity (ALFF/fALFF/ReHo) and functional connectivity (FC) with the stimulated site of the precuneus after iTBS and cTBS were calculated and compared between each stimulation using a paired t-test. Correlation analysis among those parameters was calculated to explore whether changes in functional connectivity were associated with local spontaneous activity. After iTBS stimulation, fALFF increased in the bilateral precuneus, while fALFF decreased in the bilateral middle temporal gyrus. Reductions in precuneus FC were found in the bilateral cuneus, superior occipital gyrus, superior temporal gyrus, precentral gyrus, and postcentral gyrus, which correlated with regional activity. After cTBS, fALFF decreased in the bilateral insula, and precuneus FC was decreased in the bilateral inferior occipital gyrus and increased in the thalamus. In the current study, we observed that one session of iTBS or cTBS could cause inhibitory effects in remote brain regions, but only iTBS caused significant local activation in the target region.
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Affiliation(s)
- Xin Xu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Xue Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- College of Physics, Sichuan University, Chengdu, People's Republic of China
| | - Xu Qi
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- College of Physics, Sichuan University, Chengdu, People's Republic of China
| | - Xi Jiang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- College of Physics, Sichuan University, Chengdu, People's Republic of China
| | - Haoyang Xing
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- College of Physics, Sichuan University, Chengdu, People's Republic of China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, People's Republic of China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, People's Republic of China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, People's Republic of China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu, China
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6
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Chiarion G, Sparacino L, Antonacci Y, Faes L, Mesin L. Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends. Bioengineering (Basel) 2023; 10:bioengineering10030372. [PMID: 36978763 PMCID: PMC10044923 DOI: 10.3390/bioengineering10030372] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
Understanding how different areas of the human brain communicate with each other is a crucial issue in neuroscience. The concepts of structural, functional and effective connectivity have been widely exploited to describe the human connectome, consisting of brain networks, their structural connections and functional interactions. Despite high-spatial-resolution imaging techniques such as functional magnetic resonance imaging (fMRI) being widely used to map this complex network of multiple interactions, electroencephalographic (EEG) recordings claim high temporal resolution and are thus perfectly suitable to describe either spatially distributed and temporally dynamic patterns of neural activation and connectivity. In this work, we provide a technical account and a categorization of the most-used data-driven approaches to assess brain-functional connectivity, intended as the study of the statistical dependencies between the recorded EEG signals. Different pairwise and multivariate, as well as directed and non-directed connectivity metrics are discussed with a pros-cons approach, in the time, frequency, and information-theoretic domains. The establishment of conceptual and mathematical relationships between metrics from these three frameworks, and the discussion of novel methodological approaches, will allow the reader to go deep into the problem of inferring functional connectivity in complex networks. Furthermore, emerging trends for the description of extended forms of connectivity (e.g., high-order interactions) are also discussed, along with graph-theory tools exploring the topological properties of the network of connections provided by the proposed metrics. Applications to EEG data are reviewed. In addition, the importance of source localization, and the impacts of signal acquisition and pre-processing techniques (e.g., filtering, source localization, and artifact rejection) on the connectivity estimates are recognized and discussed. By going through this review, the reader could delve deeply into the entire process of EEG pre-processing and analysis for the study of brain functional connectivity and learning, thereby exploiting novel methodologies and approaches to the problem of inferring connectivity within complex networks.
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Affiliation(s)
- Giovanni Chiarion
- Mathematical Biology and Physiology, Department Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy
| | - Laura Sparacino
- Department of Engineering, University of Palermo, 90128 Palermo, Italy
| | - Yuri Antonacci
- Department of Engineering, University of Palermo, 90128 Palermo, Italy
| | - Luca Faes
- Department of Engineering, University of Palermo, 90128 Palermo, Italy
| | - Luca Mesin
- Mathematical Biology and Physiology, Department Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy
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7
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Coetzee JP, Johnson MA, Lee Y, Wu AD, Iacoboni M, Monti MM. Dissociating Language and Thought in Human Reasoning. Brain Sci 2022; 13:brainsci13010067. [PMID: 36672048 PMCID: PMC9856203 DOI: 10.3390/brainsci13010067] [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: 11/02/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 01/01/2023] Open
Abstract
What is the relationship between language and complex thought? In the context of deductive reasoning there are two main views. Under the first, which we label here the language-centric view, language is central to the syntax-like combinatorial operations of complex reasoning. Under the second, which we label here the language-independent view, these operations are dissociable from the mechanisms of natural language. We applied continuous theta burst stimulation (cTBS), a form of noninvasive neuromodulation, to healthy adult participants to transiently inhibit a subregion of Broca's area (left BA44) associated in prior work with parsing the syntactic relations of natural language. We similarly inhibited a subregion of dorsomedial frontal cortex (left medial BA8) which has been associated with core features of logical reasoning. There was a significant interaction between task and stimulation site. Post hoc tests revealed that performance on a linguistic reasoning task, but not deductive reasoning task, was significantly impaired after inhibition of left BA44, and performance on a deductive reasoning task, but not linguistic reasoning task, was decreased after inhibition of left medial BA8 (however not significantly). Subsequent linear contrasts supported this pattern. These novel results suggest that deductive reasoning may be dissociable from linguistic processes in the adult human brain, consistent with the language-independent view.
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Affiliation(s)
- John P. Coetzee
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA
- VA Palo Alto Health Care System, Polytrauma Division, 3801 Miranda Avenue, Palo Alto, CA 94304, USA
| | - Micah A. Johnson
- Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Youngzie Lee
- Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Allan D. Wu
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Brain Research Institute (BRI), University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Marco Iacoboni
- Brain Research Institute (BRI), University of California Los Angeles, Los Angeles, CA 90095, USA
- Ahmanson-Lovelace Brain Mapping Center, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Martin M. Monti
- Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA
- Brain Research Institute (BRI), University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Brain Injury Research Center (BIRC), Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Correspondence: ; Tel.: +1-310-825-8546
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8
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Escrichs A, Sanz Perl Y, Martínez-Molina N, Biarnes C, Garre-Olmo J, Fernández-Real JM, Ramos R, Martí R, Pamplona R, Brugada R, Serena J, Ramió-Torrentà L, Coll-De-Tuero G, Gallart L, Barretina J, Vilanova JC, Mayneris-Perxachs J, Saba L, Pedraza S, Kringelbach ML, Puig J, Deco G. The effect of external stimulation on functional networks in the aging healthy human brain. Cereb Cortex 2022; 33:235-245. [PMID: 35311898 DOI: 10.1093/cercor/bhac064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/13/2022] Open
Abstract
Understanding the brain changes occurring during aging can provide new insights for developing treatments that alleviate or reverse cognitive decline. Neurostimulation techniques have emerged as potential treatments for brain disorders and to improve cognitive functions. Nevertheless, given the ethical restrictions of neurostimulation approaches, in silico perturbation protocols based on causal whole-brain models are fundamental to gaining a mechanistic understanding of brain dynamics. Furthermore, this strategy could serve to identify neurophysiological biomarkers differentiating between age groups through an exhaustive exploration of the global effect of all possible local perturbations. Here, we used a resting-state fMRI dataset divided into middle-aged (N =310, <65 years) and older adults (N =310, $\geq $65) to characterize brain states in each group as a probabilistic metastable substate (PMS) space. We showed that the older group exhibited a reduced capability to access a metastable substate that overlaps with the rich club. Then, we fitted the PMS to a whole-brain model and applied in silico stimulations in each node to force transitions from the brain states of the older- to the middle-aged group. We found that the precuneus was the best stimulation target. Overall, these findings could have important implications for designing neurostimulation interventions for reversing the effects of aging on whole-brain dynamics.
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Affiliation(s)
- Anira Escrichs
- Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Yonatan Sanz Perl
- Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Noelia Martínez-Molina
- Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Carles Biarnes
- Department of Radiology (IDI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - Josep Garre-Olmo
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Institut d'Assistència Sanitària, Salt, Girona, Spain
| | - José Manuel Fernández-Real
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Department of Diabetes, Endocrinology and Nutrition, IDIBGI, Hospital Universitari de Girona Dr Josep Trueta, and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Girona, Spain
| | - Rafel Ramos
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Vascular Health Research Group of Girona (ISV-Girona), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Girona, Spain.,Primary Care Services, Catalan Institute of Health (ICS), Girona, Spain
| | - Ruth Martí
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Vascular Health Research Group of Girona (ISV-Girona), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Girona, Spain.,Primary Care Services, Catalan Institute of Health (ICS), Girona, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, Faculty of Medicine, University of Lleida-IRBLleida, Lleida, Spain
| | - Ramon Brugada
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Cardiovascular Genetics Center, IDIBGI, CIBER-CV, Girona, Spain
| | - Joaquin Serena
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Department of Neurology, Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - Lluís Ramió-Torrentà
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Department of Neurology, Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - Gabriel Coll-De-Tuero
- Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Vascular Health Research Group of Girona (ISV-Girona), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Girona, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Luís Gallart
- Biobanc, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Jordi Barretina
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - Joan C Vilanova
- Department of Radiology (IDI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
| | - Jordi Mayneris-Perxachs
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Diabetes, Endocrinology and Nutrition, IDIBGI, Hospital Universitari de Girona Dr Josep Trueta, and CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Girona, Spain
| | - Luca Saba
- Department of Radiology, AOU Cagliari, University of Cagliari, Italy
| | - Salvador Pedraza
- Department of Radiology (IDI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
| | - Morten L Kringelbach
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK.,Department of Psychiatry, University of Oxford, Oxford, UK.,Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Josep Puig
- Department of Radiology (IDI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.,Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain.,Institut d'Assistència Sanitària, Salt, Girona, Spain
| | - Gustavo Deco
- Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.,Institució Catalana de la Recerca i Estudis Avancats (ICREA), Barcelona, Catalonia, Spain.,Department of Neuropsychology, Max Planck Institute for human Cognitive and Brain Sciences, Leipzig, Germany.,Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
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9
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Riddle J, Scimeca JM, Pagnotta MF, Inglis B, Sheltraw D, Muse-Fisher C, D’Esposito M. A guide for concurrent TMS-fMRI to investigate functional brain networks. Front Hum Neurosci 2022; 16:1050605. [PMID: 36590069 PMCID: PMC9799237 DOI: 10.3389/fnhum.2022.1050605] [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: 09/21/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neocortex and has proven to be fundamental for causal hypothesis testing in cognitive neuroscience. By administering TMS concurrently with functional Magnetic Resonance Imaging (fMRI), the effect of cortical TMS on activity in distant cortical and subcortical structures can be quantified by varying the levels of TMS output intensity. However, TMS generates significant fluctuations in the fMRI time series, and their complex interaction warrants caution before interpreting findings. We present the methodological challenges of concurrent TMS-fMRI and a guide to minimize induced artifacts in experimental design and post-processing. Our study targeted two frontal-striatal circuits: primary motor cortex (M1) projections to the putamen and lateral prefrontal cortex (PFC) projections to the caudate in healthy human participants. We found that TMS parametrically increased the BOLD signal in the targeted region and subcortical projections as a function of stimulation intensity. Together, this work provides practical steps to overcome common challenges with concurrent TMS-fMRI and demonstrates how TMS-fMRI can be used to investigate functional brain networks.
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Affiliation(s)
- Justin Riddle
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Jason M. Scimeca
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| | - Mattia F. Pagnotta
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| | - Ben Inglis
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, Berkeley, CA, United States
| | - Daniel Sheltraw
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, Berkeley, CA, United States
| | - Chris Muse-Fisher
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| | - Mark D’Esposito
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, Berkeley, CA, United States
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10
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Feredoes E. Developments in Transcranial Magnetic Stimulation to Study Human Cognition. J Cogn Neurosci 2022; 35:6-10. [PMID: 36223241 DOI: 10.1162/jocn_a_01923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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11
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Razza LB, da Silva PHR, Busatto GF, Duran FLDS, Pereira J, De Smet S, Klein I, Zanão TA, Luethi MS, Baeken C, Vanderhasselt MA, Buchpiguel CA, Brunoni AR. Brain Perfusion Alterations Induced by Standalone and Combined Non-Invasive Brain Stimulation over the Dorsolateral Prefrontal Cortex. Biomedicines 2022; 10:2410. [PMID: 36289672 PMCID: PMC9598449 DOI: 10.3390/biomedicines10102410] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Non-invasive brain stimulation (NIBS) interventions are promising for the treatment of psychiatric disorders. Notwithstanding, the NIBS mechanisms of action over the dorsolateral prefrontal cortex (DLPFC), a hub that modulates affective and cognitive processes, have not been completely mapped. We aimed to investigate regional cerebral blood flow (rCBF) changes over the DLPFC and the subgenual anterior cingulate cortex (sgACC) of different NIBS protocols using Single-Photon Emission Computed Tomography (SPECT). A factorial, within-subjects, double-blinded study was performed. Twenty-three healthy subjects randomly underwent four sessions of NIBS applied once a week: transcranial direct current stimulation (tDCS), intermittent theta-burst stimulation (iTBS), combined tDCS + iTBS and placebo. The radiotracer 99m-Technetium-ethylene-cysteine-dimer was injected intravenously during the NIBS session, and SPECT neuroimages were acquired after the session. Results revealed that the combination of tDCS + iTBS increased right sgACC rCBF. Cathodal and anodal tDCS increased and decreased DLPFC rCBF, respectively, while iTBS showed no significant changes compared to the placebo. Our findings suggest that the combined protocol might optimize the activity in the right sgACC and encourage future trials with neuropsychiatric populations. Moreover, mechanistic studies to investigate the effects of tDCS and iTBS over the DLPFC are required.
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Affiliation(s)
- Lais Boralli Razza
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Pedro Henrique Rodrigues da Silva
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Geraldo F. Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
| | - Fábio Luis de Souza Duran
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
| | - Juliana Pereira
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Stefanie De Smet
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Izio Klein
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Tamires A. Zanão
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Matthias S. Luethi
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Chris Baeken
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
- Department of Psychiatry (UZBrussel), Free University Brussels, 1090 Brussels, Belgium
- Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Department of Experimental Clinical and Health Psychology, Ghent University, 9000 Ghent, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Carlos Alberto Buchpiguel
- Divisão de Medicina Nuclear (LIM-43), Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-904, Brazil
| | - André Russowsky Brunoni
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
- Departamento de Clínica Médica, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, São Paulo 05508-000, Brazil
- Hospital Universitário, Universidade de São Paulo, São Paulo 01246-904, Brazil
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12
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Neacsiu AD, Szymkiewicz V, Galla JT, Li B, Kulkarni Y, Spector CW. The neurobiology of misophonia and implications for novel, neuroscience-driven interventions. Front Neurosci 2022; 16:893903. [PMID: 35958984 PMCID: PMC9359080 DOI: 10.3389/fnins.2022.893903] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/28/2022] [Indexed: 11/25/2022] Open
Abstract
Decreased tolerance in response to specific every-day sounds (misophonia) is a serious, debilitating disorder that is gaining rapid recognition within the mental health community. Emerging research findings suggest that misophonia may have a unique neural signature. Specifically, when examining responses to misophonic trigger sounds, differences emerge at a physiological and neural level from potentially overlapping psychopathologies. While these findings are preliminary and in need of replication, they support the hypothesis that misophonia is a unique disorder. In this theoretical paper, we begin by reviewing the candidate networks that may be at play in this complex disorder (e.g., regulatory, sensory, and auditory). We then summarize current neuroimaging findings in misophonia and present areas of overlap and divergence from other mental health disorders that are hypothesized to co-occur with misophonia (e.g., obsessive compulsive disorder). Future studies needed to further our understanding of the neuroscience of misophonia will also be discussed. Next, we introduce the potential of neurostimulation as a tool to treat neural dysfunction in misophonia. We describe how neurostimulation research has led to novel interventions in psychiatric disorders, targeting regions that may also be relevant to misophonia. The paper is concluded by presenting several options for how neurostimulation interventions for misophonia could be crafted.
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Affiliation(s)
- Andrada D. Neacsiu
- Duke Center for Misophonia and Emotion Regulation, Duke Brain Stimulation Research Center, Department of Psychiatry and Behavioral Neuroscience, School of Medicine, Duke University, Durham, NC, United States
| | - Victoria Szymkiewicz
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Jeffrey T. Galla
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Brenden Li
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Yashaswini Kulkarni
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Cade W. Spector
- Department of Philosophy, Duke University, Durham, NC, United States
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13
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Ojala KE, Staib M, Gerster S, Ruff CC, Bach DR. Inhibiting Human Aversive Memory by Transcranial Theta-Burst Stimulation to the Primary Sensory Cortex. Biol Psychiatry 2022; 92:149-157. [PMID: 35410762 DOI: 10.1016/j.biopsych.2022.01.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/14/2022] [Accepted: 01/26/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Predicting adverse events from past experience is fundamental for many biological organisms. However, some individuals suffer from maladaptive memories that impair behavioral control and well-being, e.g., after psychological trauma. Inhibiting the formation and maintenance of such memories would have high clinical relevance. Previous preclinical research has focused on systemically administered pharmacological interventions, which cannot be targeted to specific neural circuits in humans. Here, we investigated the potential of noninvasive neural stimulation on the human sensory cortex in inhibiting aversive memory in a laboratory threat conditioning model. METHODS We build on an emerging nonhuman literature suggesting that primary sensory cortices may be crucially required for threat memory formation and consolidation. Immediately before conditioning innocuous somatosensory stimuli (conditioned stimuli [CS]) to aversive electric stimulation, healthy human participants received continuous theta-burst transcranial magnetic stimulation (cTBS) to individually localized primary somatosensory cortex in either the CS-contralateral (experimental) or CS-ipsilateral (control) hemisphere. We measured fear-potentiated startle to infer threat memory retention on the next day, as well as skin conductance and pupil size during learning. RESULTS After overnight consolidation, threat memory was attenuated in the experimental group compared with the control cTBS group. There was no evidence that this differed between simple and complex CS or that CS identification or initial learning were affected by cTBS. CONCLUSIONS Our results suggest that cTBS to the primary sensory cortex inhibits threat memory, likely by an impact on postlearning consolidation. We propose that noninvasive targeted stimulation of the sensory cortex may provide a new avenue for interfering with aversive memories in humans.
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Affiliation(s)
- Karita E Ojala
- Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland; Neuroscience Centre Zurich, University of Zürich, Zürich, Switzerland.
| | - Matthias Staib
- Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland; Neuroscience Centre Zurich, University of Zürich, Zürich, Switzerland
| | - Samuel Gerster
- Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Christian C Ruff
- Neuroscience Centre Zurich, University of Zürich, Zürich, Switzerland; Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zürich, Switzerland
| | - Dominik R Bach
- Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland; Neuroscience Centre Zurich, University of Zürich, Zürich, Switzerland; Wellcome Centre for Human Neuroimaging and Max-Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
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14
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Czura CJ, Bikson M, Charvet L, Chen JDZ, Franke M, Fudim M, Grigsby E, Hamner S, Huston JM, Khodaparast N, Krames E, Simon BJ, Staats P, Vonck K. Neuromodulation Strategies to Reduce Inflammation and Improve Lung Complications in COVID-19 Patients. Front Neurol 2022; 13:897124. [PMID: 35911909 PMCID: PMC9329660 DOI: 10.3389/fneur.2022.897124] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/25/2022] [Indexed: 12/11/2022] Open
Abstract
Since the outbreak of the COVID-19 pandemic, races across academia and industry have been initiated to identify and develop disease modifying or preventative therapeutic strategies has been initiated. The primary focus has been on pharmacological treatment of the immune and respiratory system and the development of a vaccine. The hyperinflammatory state ("cytokine storm") observed in many cases of COVID-19 indicates a prognostically negative disease progression that may lead to respiratory distress, multiple organ failure, shock, and death. Many critically ill patients continue to be at risk for significant, long-lasting morbidity or mortality. The human immune and respiratory systems are heavily regulated by the central nervous system, and intervention in the signaling of these neural pathways may permit targeted therapeutic control of excessive inflammation and pulmonary bronchoconstriction. Several technologies, both invasive and non-invasive, are available and approved for clinical use, but have not been extensively studied in treatment of the cytokine storm in COVID-19 patients. This manuscript provides an overview of the role of the nervous system in inflammation and respiration, the current understanding of neuromodulatory techniques from preclinical and clinical studies and provides a rationale for testing non-invasive neuromodulation to modulate acute systemic inflammation and respiratory dysfunction caused by SARS-CoV-2 and potentially other pathogens. The authors of this manuscript have co-founded the International Consortium on Neuromodulation for COVID-19 to advocate for and support studies of these technologies in the current coronavirus pandemic.
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Affiliation(s)
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of New York, New York, NY, United States
| | - Leigh Charvet
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States
| | - Jiande D. Z. Chen
- Division of Gastroenterology and Hepatology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | | | - Marat Fudim
- Division of Cardiology, Duke Clinical Research Institute, Duke University, Durham, NC, United States
| | | | - Sam Hamner
- Cala Health, Burlingame, CA, United States
| | - Jared M. Huston
- Departments of Surgery and Science Education, Zucker School of Medicine at Hofstra/Northwell, Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | | | - Elliot Krames
- Pacific Pain Treatment Center, Napa, CA, United States
| | | | - Peter Staats
- National Spine and Pain, ElectroCore, Inc., Jacksonville, FL, United States
| | - Kristl Vonck
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
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15
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Rafiei F, Rahnev D. TMS Does Not Increase BOLD Activity at the Site of Stimulation: A Review of All Concurrent TMS-fMRI Studies. eNeuro 2022; 9:ENEURO.0163-22.2022. [PMID: 35981879 PMCID: PMC9410768 DOI: 10.1523/eneuro.0163-22.2022] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/14/2022] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) is widely used for understanding brain function in neurologically intact subjects and for the treatment of various disorders. However, the precise neurophysiological effects of TMS at the site of stimulation remain poorly understood. The local effects of TMS can be studied using concurrent TMS-functional magnetic resonance imaging (fMRI), a technique where TMS is delivered during fMRI scanning. However, although concurrent TMS-fMRI was developed over 20 years ago and dozens of studies have used this technique, there is still no consensus on whether TMS increases blood oxygen level-dependent (BOLD) activity at the site of stimulation. To address this question, here we review all previous concurrent TMS-fMRI studies that reported analyses of BOLD activity at the target location. We find evidence that TMS increases local BOLD activity when stimulating the primary motor (M1) and visual (V1) cortices but that these effects are likely driven by the downstream consequences of TMS (finger twitches and phosphenes). However, TMS does not appear to increase BOLD activity at the site of stimulation for areas outside of the M1 and V1 when conducted at rest. We examine the possible reasons for such lack of BOLD signal increase based on recent work in nonhuman animals. We argue that the current evidence points to TMS inducing periods of increased and decreased neuronal firing that mostly cancel each other out and therefore lead to no change in the overall BOLD signal.
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Affiliation(s)
- Farshad Rafiei
- School of Psychology, Georgia Institute of Technology, Atlanta, GA 30313
| | - Dobromir Rahnev
- School of Psychology, Georgia Institute of Technology, Atlanta, GA 30313
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16
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State-dependent effects of neural stimulation on brain function and cognition. Nat Rev Neurosci 2022; 23:459-475. [PMID: 35577959 DOI: 10.1038/s41583-022-00598-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/20/2022] [Indexed: 01/02/2023]
Abstract
Invasive and non-invasive brain stimulation methods are widely used in neuroscience to establish causal relationships between distinct brain regions and the sensory, cognitive and motor functions they subserve. When combined with concurrent brain imaging, such stimulation methods can reveal patterns of neuronal activity responsible for regulating simple and complex behaviours at the level of local circuits and across widespread networks. Understanding how fluctuations in physiological states and task demands might influence the effects of brain stimulation on neural activity and behaviour is at the heart of how we use these tools to understand cognition. Here we review the concept of such 'state-dependent' changes in brain activity in response to neural stimulation, and consider examples from research on altered states of consciousness (for example, sleep and anaesthesia) and from task-based manipulations of selective attention and working memory. We relate relevant findings from non-invasive methods used in humans to those obtained from direct electrical and optogenetic stimulation of neuronal ensembles in animal models. Given the widespread use of brain stimulation as a research tool in the laboratory and as a means of augmenting or restoring brain function, consideration of the influence of changing physiological and cognitive states is crucial for increasing the reliability of these interventions.
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17
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An Overview of Noninvasive Brain Stimulation: Basic Principles and Clinical Applications. Can J Neurol Sci 2021; 49:479-492. [PMID: 34238393 DOI: 10.1017/cjn.2021.158] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The brain has the innate ability to undergo neuronal plasticity, which refers to changes in its structure and functions in response to continued changes in the environment. Although these concepts are well established in animal slice preparation models, their application to a large number of human subjects could only be achieved using noninvasive brain stimulation (NIBS) techniques. In this review, we discuss the mechanisms of plasticity induction using NIBS techniques including transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), random noise stimulation (RNS), transcranial ultrasound stimulation (TUS), vagus nerve stimulation (VNS), and galvanic vestibular stimulation (GVS). We briefly introduce these techniques, explain the stimulation parameters and potential clinical implications. Although their mechanisms are different, all these NIBS techniques can be used to induce plasticity at the systems level, to examine the neurophysiology of brain circuits and have potential therapeutic use in psychiatric and neurological disorders. TMS is the most established technique for the treatment of brain disorders, and repetitive TMS is an approved treatment for medication-resistant depression. Although the data on the clinical utility of the other modes of stimulation are more limited, the electrical stimulation techniques (tDCS, tACS, RNS, VNS, GVS) have the advantage of lower cost, portability, applicability at home, and can readily be combined with training or rehabilitation. Further research is needed to expand the clinical utility of NIBS and test the combination of different modes of NIBS to optimize neuromodulation induced clinical benefits.
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18
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Rafiei F, Safrin M, Wokke ME, Lau H, Rahnev D. Transcranial magnetic stimulation alters multivoxel patterns in the absence of overall activity changes. Hum Brain Mapp 2021; 42:3804-3820. [PMID: 33991165 PMCID: PMC8288086 DOI: 10.1002/hbm.25466] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/07/2021] [Accepted: 04/26/2021] [Indexed: 01/18/2023] Open
Abstract
Transcranial magnetic stimulation (TMS) has become one of the major tools for establishing the causal role of specific brain regions in perceptual, motor, and cognitive processes. Nevertheless, a persistent limitation of the technique is the lack of clarity regarding its precise effects on neural activity. Here, we examined the effects of TMS intensity and frequency on concurrently recorded blood‐oxygen‐level‐dependent (BOLD) signals at the site of stimulation. In two experiments, we delivered TMS to the dorsolateral prefrontal cortex in human subjects of both sexes. In Experiment 1, we delivered a series of pulses at high (100% of motor threshold) or low (50% of motor threshold) intensity, whereas, in Experiment 2, we always used high intensity but delivered stimulation at four different frequencies (5, 8.33, 12.5, and 25 Hz). We found that the TMS intensity and frequency could be reliably decoded using multivariate analysis techniques even though TMS had no effect on the overall BOLD activity at the site of stimulation in either experiment. These results provide important insight into the mechanisms through which TMS influences neural activity.
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Affiliation(s)
- Farshad Rafiei
- School of Psychology, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Martin Safrin
- School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Martijn E Wokke
- Programs in Psychology and Biology, The Graduate Center of the City University of New York, New York, New York, USA
| | - Hakwan Lau
- Department of Psychology, University of California Los Angeles, Los Angeles, California, USA.,The Brain Research Institute, University of California, Los Angeles, Los Angeles, California, USA
| | - Dobromir Rahnev
- School of Psychology, Georgia Institute of Technology, Atlanta, Georgia, USA
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19
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Ferrarelli F, Phillips M. Examining and Modulating Neural Circuits in Psychiatric Disorders With Transcranial Magnetic Stimulation and Electroencephalography: Present Practices and Future Developments. Am J Psychiatry 2021; 178:400-413. [PMID: 33653120 PMCID: PMC8119323 DOI: 10.1176/appi.ajp.2020.20071050] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique uniquely equipped to both examine and modulate neural systems and related cognitive and behavioral functions in humans. As an examination tool, TMS can be used in combination with EEG (TMS-EEG) to elucidate directly, objectively, and noninvasively the intrinsic properties of a specific cortical region, including excitation, inhibition, reactivity, and oscillatory activity, irrespective of the individual's conscious effort. Additionally, when applied in repetitive patterns, TMS has been shown to modulate brain networks in healthy individuals, as well as ameliorate symptoms in individuals with psychiatric disorders. The key role of TMS in assessing and modulating neural dysfunctions and associated clinical and cognitive deficits in psychiatric populations is therefore becoming increasingly evident. In this article, the authors review TMS-EEG studies in schizophrenia and mood disorders, as most TMS-EEG studies to date have focused on individuals with these disorders. The authors present the evidence on the efficacy of repetitive TMS (rTMS) and theta burst stimulation (TBS), when targeting specific cortical areas, in modulating neural circuits and ameliorating symptoms and abnormal behaviors in individuals with psychiatric disorders, especially when informed by resting-state and task-related neuroimaging measures. Examples of how the combination of TMS-EEG assessments and rTMS and TBS paradigms can be utilized to both characterize and modulate neural circuit alterations in individuals with psychiatric disorders are also provided. This approach, along with the evaluation of the behavioral effects of TMS-related neuromodulation, has the potential to lead to the development of more effective and personalized interventions for individuals with psychiatric disorders.
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Affiliation(s)
- Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Mary Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine
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20
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Bergmann TO, Varatheeswaran R, Hanlon CA, Madsen KH, Thielscher A, Siebner HR. Concurrent TMS-fMRI for causal network perturbation and proof of target engagement. Neuroimage 2021; 237:118093. [PMID: 33940146 DOI: 10.1016/j.neuroimage.2021.118093] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/06/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022] Open
Abstract
The experimental manipulation of neural activity by neurostimulation techniques overcomes the inherent limitations of correlative recordings, enabling the researcher to investigate causal brain-behavior relationships. But only when stimulation and recordings are combined, the direct impact of the stimulation on neural activity can be evaluated. In humans, this can be achieved non-invasively through the concurrent combination of transcranial magnetic stimulation (TMS) with functional magnetic resonance imaging (fMRI). Concurrent TMS-fMRI allows the assessment of the neurovascular responses evoked by TMS with excellent spatial resolution and full-brain coverage. This enables the functional mapping of both local and remote network effects of TMS in cortical as well as deep subcortical structures, offering unique opportunities for basic research and clinical applications. The purpose of this review is to introduce the reader to this powerful tool. We will introduce the technical challenges and state-of-the art solutions and provide a comprehensive overview of the existing literature and the available experimental approaches. We will highlight the unique insights that can be gained from concurrent TMS-fMRI, including the state-dependent assessment of neural responsiveness and inter-regional effective connectivity, the demonstration of functional target engagement, and the systematic evaluation of stimulation parameters. We will also discuss how concurrent TMS-fMRI during a behavioral task can help to link behavioral TMS effects to changes in neural network activity and to identify peripheral co-stimulation confounds. Finally, we will review the use of concurrent TMS-fMRI for developing TMS treatments of psychiatric and neurological disorders and suggest future improvements for further advancing the application of concurrent TMS-fMRI.
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Affiliation(s)
- Til Ole Bergmann
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Langenbeckstr. 1, 55131, Mainz, Germany; Leibniz Institute for Resilience Research, Wallstraße 7-9, 55122, Mainz, Germany.
| | - Rathiga Varatheeswaran
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Langenbeckstr. 1, 55131, Mainz, Germany; Leibniz Institute for Resilience Research, Wallstraße 7-9, 55122, Mainz, Germany
| | - Colleen A Hanlon
- Department of Cancer Biology, Wake Forest School of Medicine, 1 Medical Center Blvd., Winston-Salem, NC 27157, USA
| | - Kristoffer H Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark; Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Kettegård Allé 30, 2650, Hvidovre, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400 København NV, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
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21
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Cain JA, Visagan S, Johnson MA, Crone J, Blades R, Spivak NM, Shattuck DW, Monti MM. Real time and delayed effects of subcortical low intensity focused ultrasound. Sci Rep 2021; 11:6100. [PMID: 33731821 PMCID: PMC7969624 DOI: 10.1038/s41598-021-85504-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 03/01/2021] [Indexed: 02/08/2023] Open
Abstract
Deep brain nuclei are integral components of large-scale circuits mediating important cognitive and sensorimotor functions. However, because they fall outside the domain of conventional non-invasive neuromodulatory techniques, their study has been primarily based on neuropsychological models, limiting the ability to fully characterize their role and to develop interventions in cases where they are damaged. To address this gap, we used the emerging technology of non-invasive low-intensity focused ultrasound (LIFU) to directly modulate left lateralized basal ganglia structures in healthy volunteers. During sonication, we observed local and distal decreases in blood oxygenation level dependent (BOLD) signal in the targeted left globus pallidus (GP) and in large-scale cortical networks. We also observed a generalized decrease in relative perfusion throughout the cerebrum following sonication. These results show, for the first time using functional MRI data, the ability to modulate deep-brain nuclei using LIFU while measuring its local and global consequences, opening the door for future applications of subcortical LIFU.
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Affiliation(s)
- Joshua A Cain
- Department of Psychology, University of California Los Angeles, Pritzker Hall, Los Angeles, CA, 90095, USA.
| | - Shakthi Visagan
- Department of Neurology, University of California Los Angeles, Los Angeles, 90095, USA
| | - Micah A Johnson
- Department of Psychology, University of California Los Angeles, Pritzker Hall, Los Angeles, CA, 90095, USA
| | - Julia Crone
- Department of Psychology, University of California Los Angeles, Pritzker Hall, Los Angeles, CA, 90095, USA
| | - Robin Blades
- Department of Psychology, University of California Los Angeles, Pritzker Hall, Los Angeles, CA, 90095, USA
- Department of Neurology, University of California Los Angeles, Los Angeles, 90095, USA
| | - Norman M Spivak
- Department of Psychiatry, University of California Los Angeles, Los Angeles, 90095, USA
- Brain Injury Research Center (BIRC), Department of Neurosurgery, University of California, Los Angeles, CA, 90095, USA
| | - David W Shattuck
- Department of Neurology, University of California Los Angeles, Los Angeles, 90095, USA
| | - Martin M Monti
- Department of Psychology, University of California Los Angeles, Pritzker Hall, Los Angeles, CA, 90095, USA
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, 90095, USA
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22
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Rossi S, Antal A, Bestmann S, Bikson M, Brewer C, Brockmöller J, Carpenter LL, Cincotta M, Chen R, Daskalakis JD, Di Lazzaro V, Fox MD, George MS, Gilbert D, Kimiskidis VK, Koch G, Ilmoniemi RJ, Lefaucheur JP, Leocani L, Lisanby SH, Miniussi C, Padberg F, Pascual-Leone A, Paulus W, Peterchev AV, Quartarone A, Rotenberg A, Rothwell J, Rossini PM, Santarnecchi E, Shafi MM, Siebner HR, Ugawa Y, Wassermann EM, Zangen A, Ziemann U, Hallett M. Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines. Clin Neurophysiol 2021; 132:269-306. [PMID: 33243615 PMCID: PMC9094636 DOI: 10.1016/j.clinph.2020.10.003] [Citation(s) in RCA: 558] [Impact Index Per Article: 186.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/12/2020] [Accepted: 10/13/2020] [Indexed: 12/11/2022]
Abstract
This article is based on a consensus conference, promoted and supported by the International Federation of Clinical Neurophysiology (IFCN), which took place in Siena (Italy) in October 2018. The meeting intended to update the ten-year-old safety guidelines for the application of transcranial magnetic stimulation (TMS) in research and clinical settings (Rossi et al., 2009). Therefore, only emerging and new issues are covered in detail, leaving still valid the 2009 recommendations regarding the description of conventional or patterned TMS protocols, the screening of subjects/patients, the need of neurophysiological monitoring for new protocols, the utilization of reference thresholds of stimulation, the managing of seizures and the list of minor side effects. New issues discussed in detail from the meeting up to April 2020 are safety issues of recently developed stimulation devices and pulse configurations; duties and responsibility of device makers; novel scenarios of TMS applications such as in the neuroimaging context or imaging-guided and robot-guided TMS; TMS interleaved with transcranial electrical stimulation; safety during paired associative stimulation interventions; and risks of using TMS to induce therapeutic seizures (magnetic seizure therapy). An update on the possible induction of seizures, theoretically the most serious risk of TMS, is provided. It has become apparent that such a risk is low, even in patients taking drugs acting on the central nervous system, at least with the use of traditional stimulation parameters and focal coils for which large data sets are available. Finally, new operational guidelines are provided for safety in planning future trials based on traditional and patterned TMS protocols, as well as a summary of the minimal training requirements for operators, and a note on ethics of neuroenhancement.
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Affiliation(s)
- Simone Rossi
- Department of Scienze Mediche, Chirurgiche e Neuroscienze, Unit of Neurology and Clinical Neurophysiology, Brain Investigation and Neuromodulation Lab (SI-BIN Lab), University of Siena, Italy.
| | - Andrea Antal
- Department of Clinical Neurophysiology, University Medical Center, Georg-August University of Goettingen, Germany; Institue of Medical Psychology, Otto-Guericke University Magdeburg, Germany
| | - Sven Bestmann
- Department of Movement and Clinical Neurosciences, UCL Queen Square Institute of Neurology, London, UK and Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of New York, New York, NY, USA
| | - Carmen Brewer
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Jürgen Brockmöller
- Department of Clinical Pharmacology, University Medical Center, Georg-August University of Goettingen, Germany
| | - Linda L Carpenter
- Butler Hospital, Brown University Department of Psychiatry and Human Behavior, Providence, RI, USA
| | - Massimo Cincotta
- Unit of Neurology of Florence - Central Tuscany Local Health Authority, Florence, Italy
| | - Robert Chen
- Krembil Research Institute and Division of Neurology, Department of Medicine, University of Toronto, Canada
| | - Jeff D Daskalakis
- Center for Addiction and Mental Health (CAMH), University of Toronto, Canada
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico, Roma, Italy
| | - Michael D Fox
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Mark S George
- Medical University of South Carolina, Charleston, SC, USA
| | - Donald Gilbert
- Division of Neurology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Vasilios K Kimiskidis
- Laboratory of Clinical Neurophysiology, Aristotle University of Thessaloniki, AHEPA University Hospital, Greece
| | | | - Risto J Ilmoniemi
- Department of Neuroscience and Biomedical Engineering (NBE), Aalto University School of Science, Aalto, Finland
| | - Jean Pascal Lefaucheur
- EA 4391, ENT Team, Faculty of Medicine, Paris Est Creteil University (UPEC), Créteil, France; Clinical Neurophysiology Unit, Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris, (APHP), Créteil, France
| | - Letizia Leocani
- Department of Neurology, Institute of Experimental Neurology (INSPE), IRCCS-San Raffaele Hospital, Vita-Salute San Raffaele University, Milano, Italy
| | - Sarah H Lisanby
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Center for Memory Health, Hebrew SeniorLife, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Guttmann Brain Health Institut, Institut Guttmann, Universitat Autonoma Barcelona, Spain
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center, Georg-August University of Goettingen, Germany
| | - Angel V Peterchev
- Departments of Psychiatry & Behavioral Sciences, Biomedical Engineering, Electrical & Computer Engineering, and Neurosurgery, Duke University, Durham, NC, USA
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alexander Rotenberg
- Department of Neurology, Division of Epilepsy and Clinical Neurophysiology, Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - John Rothwell
- Department of Movement and Clinical Neurosciences, UCL Queen Square Institute of Neurology, London, UK and Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
| | - Paolo M Rossini
- Department of Neuroscience and Rehabilitation, IRCCS San Raffaele-Pisana, Roma, Italy
| | - Emiliano Santarnecchi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mouhsin M Shafi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yoshikatzu Ugawa
- Department of Human Neurophysiology, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Eric M Wassermann
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Abraham Zangen
- Zlotowski Center of Neuroscience, Ben Gurion University, Beer Sheva, Israel
| | - Ulf Ziemann
- Department of Neurology & Stroke, and Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA.
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23
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Fried PJ, Santarnecchi E, Antal A, Bartres-Faz D, Bestmann S, Carpenter LL, Celnik P, Edwards D, Farzan F, Fecteau S, George MS, He B, Kim YH, Leocani L, Lisanby SH, Loo C, Luber B, Nitsche MA, Paulus W, Rossi S, Rossini PM, Rothwell J, Sack AT, Thut G, Ugawa Y, Ziemann U, Hallett M, Pascual-Leone A. Training in the practice of noninvasive brain stimulation: Recommendations from an IFCN committee. Clin Neurophysiol 2020; 132:819-837. [PMID: 33549501 DOI: 10.1016/j.clinph.2020.11.018] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 11/19/2020] [Accepted: 11/23/2020] [Indexed: 01/07/2023]
Abstract
As the field of noninvasive brain stimulation (NIBS) expands, there is a growing need for comprehensive guidelines on training practitioners in the safe and effective administration of NIBS techniques in their various research and clinical applications. This article provides recommendations on the structure and content of this training. Three different types of practitioners are considered (Technicians, Clinicians, and Scientists), to attempt to cover the range of education and responsibilities of practitioners in NIBS from the laboratory to the clinic. Basic or core competencies and more advanced knowledge and skills are discussed, and recommendations offered regarding didactic and practical curricular components. We encourage individual licensing and governing bodies to implement these guidelines.
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Affiliation(s)
- Peter J Fried
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Emiliano Santarnecchi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Andrea Antal
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - David Bartres-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences & Institut de Neurociències, University of Barcelona, Institut d'Investigacions Biomèdiques (IDIBAPS), Barcelona, Spain
| | - Sven Bestmann
- Department for Movement and Clinical Neuroscience, Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, UK
| | - Linda L Carpenter
- Butler Hospital, Department of Psychiatry and Human Behavior, Alpert Medical School at Brown University, Providence, RI, USA
| | - Pablo Celnik
- Department of Physical Medicine and Rehabilitation, Johns Hopkins, School of Medicine, Baltimore, MD, USA
| | - Dylan Edwards
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA; Edith Cowan University, Joondalup, Australia
| | - Faranak Farzan
- Simon Fraser University, British Columbia, Surrey, Mechatronic Systems Engineering, Canada
| | - Shirley Fecteau
- Faculty of Medicine, Université Laval, CERVO Brain Research Center, Quebec City, Quebec, Canada
| | - Mark S George
- Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charlestown, SC, USA
| | - Bin He
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Yun-Hee Kim
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Letizia Leocani
- Institute of Experimental Neurology, Ospedale San Raffaele, and Department of Neurology, Vita-Salute San Raffaele University, Milano, Italy
| | - Sarah H Lisanby
- Division of Translational Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MA, USA
| | - Colleen Loo
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Bruce Luber
- Noninvasive Neuromodulation Unit, National Institute of Mental Health, Bethesda, MD, USA
| | - Michael A Nitsche
- Leibniz Research Centre for Working Environment and Human Factors, Dept. Psychology and Neurosciences, Dortmund, Germany
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience, Unit of Neurology and Clinical Neurophysiology, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), University of Siena, Italy
| | - Paolo M Rossini
- Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele-Pisana, Rome, Italy
| | - John Rothwell
- UCL Institute of Neurology, University College, London, UK
| | - Alexander T Sack
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands
| | - Gregor Thut
- Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, UK
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Ulf Ziemann
- Department of Neurology & Stroke, and Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, MD, USA
| | - Alvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife and Department of Neurology, Harvard Medical School, Boston, MA, USA; Guttmann Brain Health Institute, Institut Guttmann, Universitat Autonoma, Barcelona, Spain.
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24
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Friehs MA, Klaus J, Singh T, Frings C, Hartwigsen G. Perturbation of the right prefrontal cortex disrupts interference control. Neuroimage 2020; 222:117279. [PMID: 32828926 DOI: 10.1016/j.neuroimage.2020.117279] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 01/06/2023] Open
Abstract
Resolving cognitive interference is central for successful everyday cognition and behavior. The Stroop task is a classical measure of cognitive interference. In this task, participants have to resolve interference on a trial-by-trial basis and performance is also influenced by the trial history, as reflected in sequence effects. Previous neuroimaging studies have associated the left and right prefrontal cortex with successful performance in the Stroop task. Yet, the causal relevance of both regions for interference processing remains largely unclear. We probed the functional relevance of the left and right prefrontal cortex for interference control. In three sessions, 25 healthy participants received online repetitive transcranial magnetic stimulation (rTMS) over the left and right dorsolateral prefrontal cortex, and sham stimulation over the vertex. During each session, participants completed a verbal-response Stroop task. Relative to sham rTMS and rTMS over the left prefrontal cortex, rTMS over the right prefrontal cortex selectively disrupted the Stroop sequence effect (i.e., the congruency sequence effect; CSE). This effect was specific to sequential modulations of interference since rTMS did not affect the Stroop performance in the ongoing trial. Our results demonstrate the functional relevance of the right dorsolateral prefrontal cortex for the processing of interference control. This finding points towards process-specific lateralization within the prefrontal cortex. The observed process- and site-specific TMS effect provides new insights into the neurophysiological underpinnings of Stroop task performance and more general, the role of the prefrontal cortex in the processing of interference control.
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Affiliation(s)
- Maximilian A Friehs
- Department of Cognitive Psychology and Methodology, Trier University, Germany.
| | - Jana Klaus
- Department of Experimental Psychology, Utrecht University, the Netherlands
| | - Tarini Singh
- Department of Experimental Psychology, Halle University, Germany
| | - Christian Frings
- Department of Cognitive Psychology and Methodology, Trier University, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Germany
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25
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Pilloni G, Bikson M, Badran BW, George MS, Kautz SA, Okano AH, Baptista AF, Charvet LE. Update on the Use of Transcranial Electrical Brain Stimulation to Manage Acute and Chronic COVID-19 Symptoms. Front Hum Neurosci 2020; 14:595567. [PMID: 33281589 PMCID: PMC7689057 DOI: 10.3389/fnhum.2020.595567] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 10/20/2020] [Indexed: 12/18/2022] Open
Abstract
The coronavirus disease 19 (COVID-19) pandemic has resulted in the urgent need to develop and deploy treatment approaches that can minimize mortality and morbidity. As infection, resulting illness, and the often prolonged recovery period continue to be characterized, therapeutic roles for transcranial electrical stimulation (tES) have emerged as promising non-pharmacological interventions. tES techniques have established therapeutic potential for managing a range of conditions relevant to COVID-19 illness and recovery, and may further be relevant for the general management of increased mental health problems during this time. Furthermore, these tES techniques can be inexpensive, portable, and allow for trained self-administration. Here, we summarize the rationale for using tES techniques, specifically transcranial Direct Current Stimulation (tDCS), across the COVID-19 clinical course, and index ongoing efforts to evaluate the inclusion of tES optimal clinical care.
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Affiliation(s)
- Giuseppina Pilloni
- Department of Neurology, NYU Langone Health, New York, NY, United States
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of New York, New York, NY, United States
| | - Bashar W. Badran
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
| | - Mark S. George
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
- Ralph H Johnson Veterans Affairs Medical Center, Charleston, SC, United States
| | - Steven A. Kautz
- Ralph H Johnson Veterans Affairs Medical Center, Charleston, SC, United States
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, United States
| | - Alexandre Hideki Okano
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
- Brazilian Institute of Neuroscience and Neurothechnology 52 (BRAINN/CEPID53 FAPESP), University of Campinas, Campinas, Brazil
| | - Abrahão Fontes Baptista
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
- Brazilian Institute of Neuroscience and Neurothechnology 52 (BRAINN/CEPID53 FAPESP), University of Campinas, Campinas, Brazil
- Laboratory of Medical Investigation 54 (LIM-54), São Paulo University, São Paulo, Brazil
| | - Leigh E. Charvet
- Department of Neurology, NYU Langone Health, New York, NY, United States
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26
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Hartwigsen G, Volz LJ. Probing rapid network reorganization of motor and language functions via neuromodulation and neuroimaging. Neuroimage 2020; 224:117449. [PMID: 33059054 DOI: 10.1016/j.neuroimage.2020.117449] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 08/17/2020] [Accepted: 10/07/2020] [Indexed: 12/22/2022] Open
Abstract
Motor and cognitive functions are organized in large-scale networks in the human brain that interact to enable flexible adaptation of information exchange to ever-changing environmental conditions. In this review, we discuss the unique potential of the consecutive combination of repetitive transcranial magnetic stimulation (rTMS) and functional neuroimaging to probe network organization and reorganization in the healthy and lesioned brain. First, we summarize findings highlighting the flexible (re-)distribution and short-term reorganization in motor and cognitive networks in the healthy brain. Plastic after-effects of rTMS result in large-scale changes on the network level affecting both local and remote activity within the stimulated network as well as interactions between the stimulated and distinct functional networks. While the number of combined rTMS-fMRI studies in patients with brain lesions remains scarce, preliminary evidence suggests that the lesioned brain flexibly (re-)distributes its computational capacities to functionally reorganize impaired brain functions, using a similar set of mechanisms to achieve adaptive network plasticity compared to short-term reorganization observed in the healthy brain after rTMS. In general, both short-term reorganization in the healthy brain and stroke-induced reorganization seem to rely on three general mechanisms of adaptive network plasticity that allow to maintain and recover function: i) interhemispheric changes, including increased contribution of homologous regions in the contralateral hemisphere and increased interhemispheric connectivity, ii) increased interactions between differentially specialized networks and iii) increased contributions of domain-general networks after disruption of more specific functions. These mechanisms may allow for computational flexibility of large-scale neural networks underlying motor and cognitive functions. Future studies should use complementary approaches to address the functional relevance of adaptive network plasticity and further delineate how these general mechanisms interact to enable network flexibility. Besides furthering our neurophysiological insights into brain network interactions, identifying approaches to support and enhance adaptive network plasticity may result in clinically relevant diagnostic and treatment approaches.
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Affiliation(s)
- Gesa Hartwigsen
- Lise Meitner Research Group "Cognition and Plasticity", Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, D-04103 Leipzig, Germany.
| | - Lukas J Volz
- Department of Neurology, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.
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27
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Bergmann TO, Hartwigsen G. Inferring Causality from Noninvasive Brain Stimulation in Cognitive Neuroscience. J Cogn Neurosci 2020; 33:195-225. [PMID: 32530381 DOI: 10.1162/jocn_a_01591] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Noninvasive brain stimulation (NIBS) techniques, such as transcranial magnetic stimulation or transcranial direct and alternating current stimulation, are advocated as measures to enable causal inference in cognitive neuroscience experiments. Transcending the limitations of purely correlative neuroimaging measures and experimental sensory stimulation, they allow to experimentally manipulate brain activity and study its consequences for perception, cognition, and eventually, behavior. Although this is true in principle, particular caution is advised when interpreting brain stimulation experiments in a causal manner. Research hypotheses are often oversimplified, disregarding the underlying (implicitly assumed) complex chain of causation, namely, that the stimulation technique has to generate an electric field in the brain tissue, which then evokes or modulates neuronal activity both locally in the target region and in connected remote sites of the network, which in consequence affects the cognitive function of interest and eventually results in a change of the behavioral measure. Importantly, every link in this causal chain of effects can be confounded by several factors that have to be experimentally eliminated or controlled to attribute the observed results to their assumed cause. This is complicated by the fact that many of the mediating and confounding variables are not directly observable and dose-response relationships are often nonlinear. We will walk the reader through the chain of causation for a generic cognitive neuroscience NIBS study, discuss possible confounds, and advise appropriate control conditions. If crucial assumptions are explicitly tested (where possible) and confounds are experimentally well controlled, NIBS can indeed reveal cause-effect relationships in cognitive neuroscience studies.
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Affiliation(s)
| | - Gesa Hartwigsen
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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28
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Etkin A, Maron-Katz A, Wu W, Fonzo GA, Huemer J, Vértes PE, Patenaude B, Richiardi J, Goodkind MS, Keller CJ, Ramos-Cejudo J, Zaiko YV, Peng KK, Shpigel E, Longwell P, Toll RT, Thompson A, Zack S, Gonzalez B, Edelstein R, Chen J, Akingbade I, Weiss E, Hart R, Mann S, Durkin K, Baete SH, Boada FE, Genfi A, Autea J, Newman J, Oathes DJ, Lindley SE, Abu-Amara D, Arnow BA, Crossley N, Hallmayer J, Fossati S, Rothbaum BO, Marmar CR, Bullmore ET, O'Hara R. Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder. Sci Transl Med 2020; 11:11/486/eaal3236. [PMID: 30944165 DOI: 10.1126/scitranslmed.aal3236] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 02/01/2018] [Accepted: 11/07/2018] [Indexed: 12/14/2022]
Abstract
A mechanistic understanding of the pathology of psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated whether leveraging individual differences in information-processing impairments in patients with post-traumatic stress disorder (PTSD) could reveal phenotypes within the disorder. We found that a subgroup of patients with PTSD from two independent cohorts displayed both aberrant functional connectivity within the ventral attention network (VAN) as revealed by functional magnetic resonance imaging (fMRI) neuroimaging and impaired verbal memory on a word list learning task. This combined phenotype was not associated with differences in symptoms or comorbidities, but nonetheless could be used to predict a poor response to psychotherapy, the best-validated treatment for PTSD. Using concurrent focal noninvasive transcranial magnetic stimulation and electroencephalography, we then identified alterations in neural signal flow in the VAN that were evoked by direct stimulation of that network. These alterations were associated with individual differences in functional fMRI connectivity within the VAN. Our findings define specific neurobiological mechanisms in a subgroup of patients with PTSD that could contribute to the poor response to psychotherapy.
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Affiliation(s)
- Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA. .,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Adi Maron-Katz
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Wei Wu
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China
| | - Gregory A Fonzo
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Julia Huemer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Petra E Vértes
- Department of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 0SZ, UK.,School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK.,The Alan Turing Institute, London NW1 2DB, UK
| | - Brian Patenaude
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Jonas Richiardi
- Department of Medical Radiology, Lausanne University Hospital, Lausanne, Switzerland.,Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Madeleine S Goodkind
- New Mexico Veterans Affairs Healthcare System, Albuquerque, NM 87108, USA.,Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Corey J Keller
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Jaime Ramos-Cejudo
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Yevgeniya V Zaiko
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Kathy K Peng
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Emmanuel Shpigel
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Parker Longwell
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Russ T Toll
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Allison Thompson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA
| | - Sanno Zack
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA
| | - Bryan Gonzalez
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Raleigh Edelstein
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Jingyun Chen
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Irene Akingbade
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Elizabeth Weiss
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Roland Hart
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Silas Mann
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Kathleen Durkin
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Steven H Baete
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,New Mexico Veterans Affairs Healthcare System, Albuquerque, NM 87108, USA.,Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Fernando E Boada
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY 10016, USA.,Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY 10016, USA
| | - Afia Genfi
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Jillian Autea
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA.,Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Jennifer Newman
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Desmond J Oathes
- Center for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Steven E Lindley
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Duna Abu-Amara
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Bruce A Arnow
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA
| | - Nicolas Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, 6513677 Santiago, Chile.,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Joachim Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute at Stanford, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
| | - Silvia Fossati
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Barbara O Rothbaum
- Trauma and Anxiety Recovery Program, Department of Psychiatry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Charles R Marmar
- Steven and Alexandra Cohen Veterans Center for Post-traumatic Stress and Traumatic Brain Injury, New York University Langone School of Medicine, New York, NY 10016, USA.,Department of Psychiatry, New York University Langone School of Medicine, New York, NY 10016, USA
| | - Edward T Bullmore
- Department of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 0SZ, UK.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB21 5EF, UK.,ImmunoPsychiatry, Alternative Discovery and Development, GlaxoSmithKline, Stevenage SG1 2NY, UK
| | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.,Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA 94394, USA
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29
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A novel approach to localize cortical TMS effects. Neuroimage 2020; 209:116486. [DOI: 10.1016/j.neuroimage.2019.116486] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 12/12/2019] [Accepted: 12/19/2019] [Indexed: 11/21/2022] Open
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30
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Ji GJ, Sun J, Liu P, Wei J, Li D, Wu X, Zhang L, Yu F, Bai T, Zhu C, Tian Y, Wang K. Predicting Long-Term After-Effects of Theta-Burst Stimulation on Supplementary Motor Network Through One-Session Response. Front Neurosci 2020; 14:237. [PMID: 32292326 PMCID: PMC7124138 DOI: 10.3389/fnins.2020.00237] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 03/03/2020] [Indexed: 12/13/2022] Open
Abstract
To understand the neural mechanism of repetitive transcranial magnetic stimulation (rTMS), the after-effects following one session or multiple days of stimulation have been widely investigated. However, the relation between the short-term effect (STE) and long-term effect (LTE) of rTMS is largely unknown. This study aims to explore whether the after-effects of 5-day rTMS on supplementary motor area (SMA) network could be predicted by one-session response. A primary cohort of 38 healthy participants underwent five daily sessions of real or sham continuous theta-burst stimulation (cTBS) on the left SMA. Resting-state functional magnetic resonance imaging (fMRI) data were acquired at the first (before and after the first stimulation) and sixth experimental day. The SMA connectivity changes after the first cTBS and after 5 days of stimulation were defined as STE and LTE, respectively. Compared to the baseline, significant STE and LTE were found in the bilateral paracentral gyrus (ParaCG) after real stimulation, suggesting shared neural correlates of short- and long-term stimulations. Region-of-interest analysis indicated that the resting-state functional connectivity between SMA and ParaCG increased after real stimulation, while no significant change was found after sham stimulation. Leave-one-out cross-validation indicated that the LTE in ParaCG could be predicted by the STE after real but not sham stimulations. In an independent cohort, the after-effects of rTMS on ParaCG and short- to long-term prediction were reproduced at the region-of-interest level. These imaging evidences indicate that one-session rTMS can aid to predict the regions responsive to long-term stimulation and the individualized response degree.
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Affiliation(s)
- Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Pingping Liu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Junjie Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Dandan Li
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Xingqi Wu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Lei Zhang
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Fengqiong Yu
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Chunyan Zhu
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
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31
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Houde F, Martel M, Coulombe-Lévêque A, Harvey MP, Auclair V, Mathieu D, Whittingstall K, Goffaux P, Léonard G. Perturbing the activity of the superior temporal gyrus during pain encoding prevents the exaggeration of pain memories: A virtual lesion study using single-pulse transcranial magnetic stimulation. Neurobiol Learn Mem 2020; 169:107174. [PMID: 32001336 DOI: 10.1016/j.nlm.2020.107174] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 12/19/2019] [Accepted: 01/24/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Past studies have shown that pain memories are often inaccurate, a phenomenon known as mnemonic pain bias. Pain memories are thought to play an important role on how future pain is felt. Recent evidence from our laboratory suggests that individuals who exaggerate past pain display increased superior temporal gyrus (STG) activity during the encoding of experimental painful stimulations, suggesting that this brain structure plays an important role in pain memories. OBJECTIVE /hypothesis. To determine whether a virtual lesion paradigm, targeting the STG during pain encoding, can affect long-lasting pain memories. We hypothesized that interfering with the activity of the STG would attenuate mnemonic bias. METHODS Randomized double-blind study with two parallel groups. Participants received either sham (n = 21) or real (n = 21) transcranial magnetic stimulation (TMS - virtual lesion paradigm) over the STG during pain encoding (milliseconds after the administration of a painful stimuli). Pain intensity and unpleasantness were evaluated using a visual analog scale (VAS; 0 to 10) immediately after the painful event, and at recall, 2 months later. The mnemonic pain bias (calculated by subtracting the pain scores obtained at recall from the pain score obtained during encoding) was compared between the two groups for both pain intensity and unpleasantness. RESULTS Participants in both groups did not differ in terms of age and gender (real TMS = 27 years ± 9, 43% female; sham TMS = 25 years ± 4, 49% female; p > 0.64). The mnemonic bias related to pain intensity was similar in both groups (p = 0.83). However, the mnemonic bias related to pain unpleasantness was lower in the real TMS group (p = 0.04). CONCLUSIONS Our results provide the first evidence that the STG, is causally involved in the formation of biased memories of pain unpleasantness.
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Affiliation(s)
- Francis Houde
- Centre de recherche sur le vieillissement, CIUSSS de l'Estrie - CHUS, 1036, rue Belvédère Sud, Sherbrooke, Qc J1H 4C4, Canada; Centre de recherche du CHUS, CIUSSS de l'Estrie - CHUS, 3001, 12e Avenue Nord, Sherbrooke, Qc J1H 5N4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Marylie Martel
- Centre de recherche sur le vieillissement, CIUSSS de l'Estrie - CHUS, 1036, rue Belvédère Sud, Sherbrooke, Qc J1H 4C4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Alexia Coulombe-Lévêque
- Centre de recherche sur le vieillissement, CIUSSS de l'Estrie - CHUS, 1036, rue Belvédère Sud, Sherbrooke, Qc J1H 4C4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Marie-Philippe Harvey
- Centre de recherche sur le vieillissement, CIUSSS de l'Estrie - CHUS, 1036, rue Belvédère Sud, Sherbrooke, Qc J1H 4C4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Vincent Auclair
- Centre de recherche du CHUS, CIUSSS de l'Estrie - CHUS, 3001, 12e Avenue Nord, Sherbrooke, Qc J1H 5N4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - David Mathieu
- Neurosurgery, Neuro-oncology and Radiobiology departments, Université de Sherbrooke, 3001, 12e Avenue Nord, Qc J1H 5N4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Kevin Whittingstall
- Centre de recherche du CHUS, CIUSSS de l'Estrie - CHUS, 3001, 12e Avenue Nord, Sherbrooke, Qc J1H 5N4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Philippe Goffaux
- Centre de recherche du CHUS, CIUSSS de l'Estrie - CHUS, 3001, 12e Avenue Nord, Sherbrooke, Qc J1H 5N4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
| | - Guillaume Léonard
- Centre de recherche sur le vieillissement, CIUSSS de l'Estrie - CHUS, 1036, rue Belvédère Sud, Sherbrooke, Qc J1H 4C4, Canada; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 3001, 12e avenue Nord, Qc J1H 5N4, Canada.
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Navarro de Lara LI, Golestanirad L, Makarov SN, Stockmann JP, Wald LL, Nummenmaa A. Evaluation of RF interactions between a 3T birdcage transmit coil and transcranial magnetic stimulation coils using a realistically shaped head phantom. Magn Reson Med 2020; 84:1061-1075. [PMID: 31971632 DOI: 10.1002/mrm.28162] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 12/11/2019] [Accepted: 12/11/2019] [Indexed: 12/18/2022]
Abstract
PURPOSE Multichannel transcranial magnetic stimulation (TMS)1 is an emerging technology that allows multiple sites to be stimulated simultaneously or sequentially under electronic control without movement of the coils. A multichannel TMS/MRI head coil array for 3 Tesla is currently under development to mitigate challenges of concurrent TMS/fMRI as well as enable potential new applications. The influence of the multichannel TMS system on the MR image quality and safety must be carefully investigated. METHODS A standard birdcage volume coil for 3 Tesla systems was simulated using a commercial numerical electromagnetic solver. Two setups, consisting of 1) a MR-compatible TMS coil, and 2) a 3-axis TMS coil array, were simulated to quantify changes in the transmit field B 1 + and the SAR. A realistically shaped homogeneous head model was used in the computations. RESULTS The stimulation coils produced enhancements and attenuations on the transmit field with effects greater than 5% up to 2.4 cm and 3.3 cm under the scalp for the MR-compatible TMS coil and 3-axis TMS coil array, respectively. The 10 g-SAR distribution did not change significantly in either of the cases; however, the nominal SAR maximum locus was shifted between existing hot spots. CONCLUSION The simulated B 1 + variations found near the TMS coils indicate the possibility of inducing sequence-dependent image artefacts predominatly limited to the vicinity of the coil(s). However, we conclude that neither the MR-compatible commercial TMS coil nor the 3-axis TMS coil array siginificantly elevate SAR in the head or neck beyond accepted safety limits.
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Affiliation(s)
- Lucia I Navarro de Lara
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Laleh Golestanirad
- Department of Biomedical Engineering, Northwestern University, Chicago, Illinois
| | - Sergey N Makarov
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts.,Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts
| | - Jason P Stockmann
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Lawrence L Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts
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Castrillon G, Sollmann N, Kurcyus K, Razi A, Krieg SM, Riedl V. The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex. SCIENCE ADVANCES 2020; 6:eaay2739. [PMID: 32064344 PMCID: PMC6994208 DOI: 10.1126/sciadv.aay2739] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 11/22/2019] [Indexed: 05/21/2023]
Abstract
Transcranial magnetic stimulation (TMS) is a noninvasive method to modulate brain activity and behavior in humans. Still, stimulation effects substantially vary across studies and individuals, thereby restricting the large-scale application of TMS in research or clinical settings. We revealed that low-frequency stimulation had opposite impact on the functional connectivity of sensory and cognitive brain regions. Biophysical modeling then identified a neuronal mechanism underlying these region-specific effects. Stimulation of the frontal cortex decreased local inhibition and disrupted feedforward and feedback connections. Conversely, identical stimulation increased local inhibition and enhanced forward signaling in the occipital cortex. Last, we identified functional integration as a macroscale network parameter to predict the region-specific effect of stimulation in individual subjects. In summary, we revealed how TMS modulation critically depends on the connectivity profile of target regions and propose an imaging marker to improve sensitivity of noninvasive brain stimulation for research and clinical applications.
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Affiliation(s)
- Gabriel Castrillon
- TUM-Neuroimaging Center, Technische Universitaet Muenchen, 81675 Munich, Germany
- Department of Neuroradiology, Technische Universitaet Muenchen, 81675 Munich, Germany
- Instituto de Alta Tecnología Médica, 050026 Medellin, Colombia
| | - Nico Sollmann
- TUM-Neuroimaging Center, Technische Universitaet Muenchen, 81675 Munich, Germany
- Department of Neuroradiology, Technische Universitaet Muenchen, 81675 Munich, Germany
| | - Katarzyna Kurcyus
- TUM-Neuroimaging Center, Technische Universitaet Muenchen, 81675 Munich, Germany
- Department of Neuroradiology, Technische Universitaet Muenchen, 81675 Munich, Germany
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, 3168 VIC, Australia
- Monash Biomedical Imaging, Monash University, Clayton, 3168 VIC, Australia
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3AR London, UK
- Department of Electronic Engineering, NED University of Engineering and Technology, 75270 Karachi, Pakistan
| | - Sandro M. Krieg
- TUM-Neuroimaging Center, Technische Universitaet Muenchen, 81675 Munich, Germany
- Department of Neurosurgery, Technische Universitaet Muenchen, 81675 Munich, Germany
| | - Valentin Riedl
- TUM-Neuroimaging Center, Technische Universitaet Muenchen, 81675 Munich, Germany
- Department of Neuroradiology, Technische Universitaet Muenchen, 81675 Munich, Germany
- Corresponding author.
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Assessing inter-individual differences with task-related functional neuroimaging. Nat Hum Behav 2019; 3:897-905. [PMID: 31451737 DOI: 10.1038/s41562-019-0681-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 07/09/2019] [Indexed: 01/01/2023]
Abstract
Explaining and predicting individual behavioural differences induced by clinical and social factors constitutes one of the most promising applications of neuroimaging. In this Perspective, we discuss the theoretical and statistical foundations of the analyses of inter-individual differences in task-related functional neuroimaging. Leveraging a five-year literature review (July 2013-2018), we show that researchers often assess how activations elicited by a variable of interest differ between individuals. We argue that the rationale for such analyses, typically grounded in resource theory, offers an over-large analytical and interpretational flexibility that undermines their validity. We also recall how, in the established framework of the general linear model, inter-individual differences in behaviour can act as hidden moderators and spuriously induce differences in activations. We conclude with a set of recommendations and directions, which we hope will contribute to improving the statistical validity and the neurobiological interpretability of inter-individual difference analyses in task-related functional neuroimaging.
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EPI distortion correction for concurrent human brain stimulation and imaging at 3T. J Neurosci Methods 2019; 327:108400. [PMID: 31434000 DOI: 10.1016/j.jneumeth.2019.108400] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 08/15/2019] [Accepted: 08/17/2019] [Indexed: 01/21/2023]
Abstract
BACKGROUND Transcranial magnetic stimulation (TMS) can be paired with functional magnetic resonance imaging (fMRI) in concurrent TMS-fMRI experiments. These multimodal experiments enable causal probing of network architecture in the human brain which can complement alternative network mapping approaches. Critically, merely introducing the TMS coil into the scanner environment can sometimes produce substantial magnetic field inhomogeneities and spatial distortions which limit the utility of concurrent TMS-fMRI. METHOD AND RESULTS We assessed the efficacy of point spread function corrected echo planar imaging (PSF-EPI) in correcting for the field inhomogeneities associated with a TMS coil at 3 T. In phantom and brain scans, we quantitatively compared the coil-induced distortion artifacts measured in EPI scans with and without PSF correction. We found that the application of PSF corrections to the EPI data significantly improved signal-to-noise and reduced distortions. In phantom scans with the PSF-EPI sequence, we also characterized the temporal profile of dynamic artifacts associated with TMS delivery and found that image quality remained high as long as the TMS pulse preceded the RF excitation pulses by at least 50 ms. Lastly, we validated the PSF-EPI sequence in human brain scans involving TMS and motor behavior as well as resting state fMRI scans. CONCLUSIONS Our collective results demonstrate the potential benefits of PSF-EPI for concurrent TMS-fMRI when coil-related artifacts are a concern. The ability to collect high quality resting state fMRI data in the same session as the concurrent TMS-fMRI experiment offers a unique opportunity to interrogate network architecture in the human brain.
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Romero MC, Davare M, Armendariz M, Janssen P. Neural effects of transcranial magnetic stimulation at the single-cell level. Nat Commun 2019; 10:2642. [PMID: 31201331 PMCID: PMC6572776 DOI: 10.1038/s41467-019-10638-7] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 05/17/2019] [Indexed: 11/09/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) can non-invasively modulate neural activity in humans. Despite three decades of research, the spatial extent of the cortical area activated by TMS is still controversial. Moreover, how TMS interacts with task-related activity during motor behavior is unknown. Here, we applied single-pulse TMS over macaque parietal cortex while recording single-unit activity at various distances from the center of stimulation during grasping. The spatial extent of TMS-induced activation is remarkably restricted, affecting the spiking activity of single neurons in an area of cortex measuring less than 2 mm in diameter. In task-related neurons, TMS evokes a transient excitation followed by reduced activity, paralleled by a significantly longer grasping time. Furthermore, TMS-induced activity and task-related activity do not summate in single neurons. These results furnish crucial experimental evidence for the neural effects of TMS at the single-cell level and uncover the neural underpinnings of behavioral effects of TMS. Transcranial Magnetic Stimulation (TMS) can modulate human brain activity, but the extent of the cortical area activated by TMS is unclear. Here, the authors show that TMS affects monkey single neuron activity in an area less than 2 mm diameter, while TMS-induced activity and task-related activity do not summate.
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Affiliation(s)
- Maria C Romero
- Laboratorium voor Neuro- en Psychofysiologie, Katholieke Universiteit Leuven, Leuven, Belgium. .,Onderzoeksgroep Bewegingscontrole & Neuroplasticiteit, Katholieke Universiteit Leuven, Leuven, Belgium. .,Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium.
| | - Marco Davare
- Onderzoeksgroep Bewegingscontrole & Neuroplasticiteit, Katholieke Universiteit Leuven, Leuven, Belgium. .,Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium.
| | - Marcelo Armendariz
- Laboratorium voor Neuro- en Psychofysiologie, Katholieke Universiteit Leuven, Leuven, Belgium.,Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Peter Janssen
- Laboratorium voor Neuro- en Psychofysiologie, Katholieke Universiteit Leuven, Leuven, Belgium.,Leuven Brain Institute, Katholieke Universiteit Leuven, Leuven, Belgium
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Hur J, Stockbridge MD, Fox AS, Shackman AJ. Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework. PROGRESS IN BRAIN RESEARCH 2019; 247:375-436. [PMID: 31196442 PMCID: PMC6578598 DOI: 10.1016/bs.pbr.2019.03.012] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
When extreme, anxiety can become debilitating. Anxiety disorders, which often first emerge early in development, are common and challenging to treat, yet the underlying mechanisms have only recently begun to come into focus. Here, we review new insights into the nature and biological bases of dispositional negativity, a fundamental dimension of childhood temperament and adult personality and a prominent risk factor for the development of pediatric and adult anxiety disorders. Converging lines of epidemiological, neurobiological, and mechanistic evidence suggest that dispositional negativity increases the likelihood of psychopathology via specific neurocognitive mechanisms, including attentional biases to threat and deficits in executive control. Collectively, these observations provide an integrative translational framework for understanding the development and maintenance of anxiety disorders in adults and youth and set the stage for developing improved intervention strategies.
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Affiliation(s)
- Juyoen Hur
- Department of Psychology, University of Maryland, College Park, MD, United States.
| | | | - Andrew S Fox
- Department of Psychology, University of California, Davis, CA, United States; California National Primate Research Center, University of California, Davis, CA, United States
| | - Alexander J Shackman
- Department of Psychology, University of Maryland, College Park, MD, United States; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, United States; Maryland Neuroimaging Center, University of Maryland, College Park, MD, United States.
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Edwards G, Agosta S, Herpich F, Contò F, Parrott D, Tyler S, Grossman ED, Battelli L. Prolonged Neuromodulation of Cortical Networks Following Low-Frequency rTMS and Its Potential for Clinical Interventions. Front Psychol 2019; 10:529. [PMID: 30915006 PMCID: PMC6423083 DOI: 10.3389/fpsyg.2019.00529] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/22/2019] [Indexed: 12/28/2022] Open
Abstract
Non-invasive brain stimulation safely induces persistent large-scale neural modulation in functionally connected brain circuits. Interruption models of repetitive transcranial magnetic stimulation (rTMS) capitalize on the acute impact of brain stimulation, which decays over minutes. However, rTMS also induces longer-lasting impact on cortical functions, evident by the use of multi-session rTMS in clinical population for therapeutic purposes. Defining the persistent cortical dynamics induced by rTMS is complicated by the complex balance of excitation and inhibition among functionally connected networks. Nonetheless, it is these neuronal dynamic responses that are essential for the development of new neuromodulatory protocols for translational applications. We will review evidence of prolonged changes of cortical response, tens of minutes following one session of low frequency rTMS over the cortex. We will focus on the different methods which resulted in prolonged behavioral and brain changes, such as the combination of brain stimulation techniques, and individually tailored stimulation protocols. We will also highlight studies which apply these methods in multi-session stimulation practices to extend stimulation impact into weeks and months. Our data and others' indicate that delayed cortical dynamics may persist much longer than previously thought and have potential as an extended temporal window during which cortical plasticity may be enhanced.
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Affiliation(s)
- Grace Edwards
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Department of Psychology, Harvard University, Cambridge, MA, United States
| | - Sara Agosta
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Florian Herpich
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Federica Contò
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Danielle Parrott
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Sarah Tyler
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Department of Psychology, University of California, San Diego, La Jolla, CA, United States
| | - Emily D. Grossman
- Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, United States
| | - Lorella Battelli
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Department of Psychology, Harvard University, Cambridge, MA, United States
- Department of Neurology, Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
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Allali G, Blumen HM, Devanne H, Pirondini E, Delval A, Van De Ville D. Brain imaging of locomotion in neurological conditions. Neurophysiol Clin 2018; 48:337-359. [PMID: 30487063 PMCID: PMC6563601 DOI: 10.1016/j.neucli.2018.10.004] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 10/05/2018] [Accepted: 10/09/2018] [Indexed: 01/20/2023] Open
Abstract
Impaired locomotion is a frequent and major source of disability in patients with neurological conditions. Different neuroimaging methods have been used to understand the brain substrates of locomotion in various neurological diseases (mainly in Parkinson's disease) during actual walking, and while resting (using mental imagery of gait, or brain-behavior correlation analyses). These studies, using structural (i.e., MRI) or functional (i.e., functional MRI or functional near infra-red spectroscopy) brain imaging, electrophysiology (i.e., EEG), non-invasive brain stimulation (i.e., transcranial magnetic stimulation, or transcranial direct current stimulation) or molecular imaging methods (i.e., PET, or SPECT) reveal extended brain networks involving both grey and white matters in key cortical (i.e., prefrontal cortex) and subcortical (basal ganglia and cerebellum) regions associated with locomotion. However, the specific roles of the various pathophysiological mechanisms encountered in each neurological condition on the phenotype of gait disorders still remains unclear. After reviewing the results of individual brain imaging techniques across the common neurological conditions, such as Parkinson's disease, dementia, stroke, or multiple sclerosis, we will discuss how the development of new imaging techniques and computational analyses that integrate multivariate correlations in "large enough datasets" might help to understand how individual pathophysiological mechanisms express clinically as an abnormal gait. Finally, we will explore how these new analytic methods could drive our rehabilitative strategies.
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Affiliation(s)
- Gilles Allali
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
| | - Helena M Blumen
- Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA; Department of Medicine, Division of Geriatrics, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA
| | - Hervé Devanne
- Department of Clinical Neurophysiology, Lille University Medical Center, Lille, France; EA 7369, URePSSS, Unité de Recherche Pluridisciplinaire Sport Santé Société, Université du Littoral Côte d'Opale, Calais, France
| | - Elvira Pirondini
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Arnaud Delval
- Department of Clinical Neurophysiology, Lille University Medical Center, Lille, France; Unité Inserm 1171, Faculté de Médecine, Université de Lille, Lille, France
| | - Dimitri Van De Ville
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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40
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Sollmann N, Ille S, Negwer C, Boeckh-Behrens T, Ringel F, Meyer B, Krieg SM. Cortical time course of object naming investigated by repetitive navigated transcranial magnetic stimulation. Brain Imaging Behav 2018; 11:1192-1206. [PMID: 27448161 DOI: 10.1007/s11682-016-9574-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Human language organization models and language time course patterns are still predominantly derived from meta-analyses of numerous single publications, which only investigated scattered cortical regions. Moreover, there is not much literature available on the exact impact of repetitive navigated transcranial magnetic stimulation (rTMS) onset times on object naming. We, therefore, used a virtual lesion-based approach by mapping various cortical areas with rTMS to investigate the time course of object naming, and to specifically provide data on the pattern of rTMS language mapping results depending on different stimulation onset times. Ten healthy, right-handed subjects were enrolled, and rTMS in combination with an object-naming task was performed with different stimulation onset times (0 ms, 100 ms, 200 ms, 300 ms, 400 ms, and 500 ms). Subsequent to language mapping, all naming errors detected were systematically classified with respect to previous literature. The majority of errors was elicited within the opercular inferior frontal gyrus (opIFG) and ventral precentral gyrus (vPrG), and the spatial distribution of naming errors changed according to the time point of naming disruption by varying onset times. For instance, immediate rTMS onset led to a widespread cortical distribution of no responses, whereas performance and hesitation errors increased with higher stimulation onset times.
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Affiliation(s)
- Nico Sollmann
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,TUM-Neuroimaging Center, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,Department of Radiology, Section of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,TUM-Neuroimaging Center, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Chiara Negwer
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,TUM-Neuroimaging Center, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Tobias Boeckh-Behrens
- Department of Radiology, Section of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Florian Ringel
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Sandro M Krieg
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany. .,TUM-Neuroimaging Center, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
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41
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Hartwigsen G. Flexible Redistribution in Cognitive Networks. Trends Cogn Sci 2018; 22:687-698. [DOI: 10.1016/j.tics.2018.05.008] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 05/26/2018] [Accepted: 05/26/2018] [Indexed: 10/14/2022]
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Jun J, Yoo S. Three Research Strategies of Neuroscience and the Future of Legal Imaging Evidence. Front Neurosci 2018; 12:120. [PMID: 29545740 PMCID: PMC5837991 DOI: 10.3389/fnins.2018.00120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 02/15/2018] [Indexed: 11/25/2022] Open
Abstract
Neuroscientific imaging evidence (NIE) has become an integral part of the criminal justice system in the United States. However, in most legal cases, NIE is submitted and used only to mitigate penalties because the court does not recognize it as substantial evidence, considering its lack of reliability. Nevertheless, we here discuss how neuroscience is expected to improve the use of NIE in the legal system. For this purpose, we classified the efforts of neuroscientists into three research strategies: cognitive subtraction, the data-driven approach, and the brain-manipulation approach. Cognitive subtraction is outdated and problematic; consequently, the court deemed it to be an inadequate approach in terms of legal evidence in 2012. In contrast, the data-driven and brain manipulation approaches, which are state-of-the-art approaches, have overcome the limitations of cognitive subtraction. The data-driven approach brings data science into the field and is benefiting immensely from the development of research platforms that allow automatized collection, analysis, and sharing of data. This broadens the scale of imaging evidence. The brain-manipulation approach uses high-functioning tools that facilitate non-invasive and precise human brain manipulation. These two approaches are expected to have synergistic effects. Neuroscience has strived to improve the evidential reliability of NIE, with considerable success. With the support of cutting-edge technologies, and the progress of these approaches, the evidential status of NIE will be improved and NIE will become an increasingly important part of legal practice.
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Affiliation(s)
- Jinkwon Jun
- KIAS Transdisciplinary Research Program, Korea Institute for Advanced Study, Seoul, South Korea
| | - Soyoung Yoo
- Human Research Protection Center, Asan Medical Center, Seoul, South Korea.,Health Innovation Big Data Center, Asan Medical Center, Seoul, South Korea
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43
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Non-invasive imaging modalities to study neurodegenerative diseases of aging brain. J Chem Neuroanat 2018; 95:54-69. [PMID: 29474853 DOI: 10.1016/j.jchemneu.2018.02.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Revised: 02/16/2018] [Accepted: 02/16/2018] [Indexed: 12/13/2022]
Abstract
The aim of this article is to highlight current approaches for imaging elderly brain, indispensable for cognitive neuroscience research with emphasis on the basic physical principles of various non-invasive neuroimaging techniques. The first part of this article presents a quick overview of the primary non-invasive neuroimaging modalities used by cognitive neuroscientists such as transcranial magnetic stimulation (TMS), transcranial electrical stimulation (tES), electroencephalography (EEG), magnetoencephalography (MEG), single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance spectroscopic imaging (MRSI), Profusion imaging, functional magnetic resonance imaging (fMRI), near infrared spectroscopy (NIRS) and diffusion tensor imaging (DTI) along with tractography and connectomics. The second part provides a comprehensive overview of different multimodality imaging techniques for various cognitive neuroscience studies of aging brain.
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Convento S, Rahman MS, Yau JM. Selective Attention Gates the Interactive Crossmodal Coupling between Perceptual Systems. Curr Biol 2018; 28:746-752.e5. [PMID: 29456139 DOI: 10.1016/j.cub.2018.01.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 12/11/2017] [Accepted: 01/09/2018] [Indexed: 10/18/2022]
Abstract
Sensory cortical systems often activate in parallel, even when stimulation is experienced through a single sensory modality [1-3]. Co-activations may reflect the interactive coupling between information-linked cortical systems or merely parallel but independent sensory processing. We report causal evidence consistent with the hypothesis that human somatosensory cortex (S1), which co-activates with auditory cortex during the processing of vibrations and textures [4-9], interactively couples to cortical systems that support auditory perception. In a series of behavioral experiments, we used transcranial magnetic stimulation (TMS) to probe interactions between the somatosensory and auditory perceptual systems as we manipulated attention state. Acute TMS over S1 impairs auditory frequency perception when subjects simultaneously attend to auditory and tactile frequency, but not when attention is directed to audition alone. Auditory frequency perception is unaffected by TMS over visual cortex, thus confirming the privileged interactions between the somatosensory and auditory systems in temporal frequency processing [10-13]. Our results provide a key demonstration that selective attention can modulate the functional properties of cortical systems thought to support specific sensory modalities. The gating of crossmodal coupling by selective attention may critically support multisensory interactions and feature-specific perception.
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Affiliation(s)
- Silvia Convento
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX 77030, USA
| | - Md Shoaibur Rahman
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX 77030, USA
| | - Jeffrey M Yau
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX 77030, USA.
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45
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Greven IM, Ramsey R. Neural network integration during the perception of in-group and out-group members. Neuropsychologia 2017; 106:225-235. [DOI: 10.1016/j.neuropsychologia.2017.09.036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 09/07/2017] [Accepted: 09/28/2017] [Indexed: 02/08/2023]
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46
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Dong L, Li F, Liu Q, Wen X, Lai Y, Xu P, Yao D. MATLAB Toolboxes for Reference Electrode Standardization Technique (REST) of Scalp EEG. Front Neurosci 2017; 11:601. [PMID: 29163006 PMCID: PMC5670162 DOI: 10.3389/fnins.2017.00601] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 10/13/2017] [Indexed: 02/02/2023] Open
Abstract
Reference electrode standardization technique (REST) has been increasingly acknowledged and applied as a re-reference technique to transform an actual multi-channels recordings to approximately zero reference ones in electroencephalography/event-related potentials (EEG/ERPs) community around the world in recent years. However, a more easy-to-use toolbox for re-referencing scalp EEG data to zero reference is still lacking. Here, we have therefore developed two open-source MATLAB toolboxes for REST of scalp EEG. One version of REST is closely integrated into EEGLAB, which is a popular MATLAB toolbox for processing the EEG data; and another is a batch version to make it more convenient and efficient for experienced users. Both of them are designed to provide an easy-to-use for novice researchers and flexibility for experienced researchers. All versions of the REST toolboxes can be freely downloaded at http://www.neuro.uestc.edu.cn/rest/Down.html, and the detailed information including publications, comments and documents on REST can also be found from this website. An example of usage is given with comparative results of REST and average reference. We hope these user-friendly REST toolboxes could make the relatively novel technique of REST easier to study, especially for applications in various EEG studies.
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Affiliation(s)
- Li Dong
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fali Li
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qiang Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Xin Wen
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yongxiu Lai
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Peng Xu
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Dezhong Yao
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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Tomlinson SP, Khusnullina A, Bracewell RM. Non-Invasive Electrical Brain Stimulation as a Treatment for Depression. J R Coll Physicians Edinb 2017; 47:253-255. [DOI: 10.4997/jrcpe.2017.309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- SP Tomlinson
- School of Computing, Lancaster University, Lancaster. UK
| | | | - RM Bracewell
- Walton Centre NHS Foundation Trust, Liverpool; Betsi Cadwaladr University Health Board, North Wales; and Senior Lecturer in Behavioural Neurology and Cognitive Neuroscience, Bangor University, Bangor, UK
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48
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Dmochowski JP, Koessler L, Norcia AM, Bikson M, Parra LC. Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation. Neuroimage 2017; 157:69-80. [PMID: 28578130 PMCID: PMC5777160 DOI: 10.1016/j.neuroimage.2017.05.059] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 05/11/2017] [Accepted: 05/27/2017] [Indexed: 12/14/2022] Open
Abstract
To demonstrate causal relationships between brain and behavior, investigators would like to guide brain stimulation using measurements of neural activity. Particularly promising in this context are electroencephalography (EEG) and transcranial electrical stimulation (TES), as they are linked by a reciprocity principle which, despite being known for decades, has not led to a formalism for relating EEG recordings to optimal stimulation parameters. Here we derive a closed-form expression for the TES configuration that optimally stimulates (i.e., targets) the sources of recorded EEG, without making assumptions about source location or distribution. We also derive a duality between TES targeting and EEG source localization, and demonstrate that in cases where source localization fails, so does the proposed targeting. Numerical simulations with multiple head models confirm these theoretical predictions and quantify the achieved stimulation in terms of focality and intensity. We show that constraining the stimulation currents automatically selects optimal montages that involve only a few (4-7) electrodes, with only incremental loss in performance when targeting focal activations. The proposed technique allows brain scientists and clinicians to rationally target the sources of observed EEG and thus overcomes a major obstacle to the realization of individualized or closed-loop brain stimulation.
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Affiliation(s)
- Jacek P Dmochowski
- Department of Biomedical Engineering, Steinman Hall 460 City College of New York, New York, NY 10031, USA.
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Leitão J, Thielscher A, Tuennerhoff J, Noppeney U. Comparing TMS perturbations to occipital and parietal cortices in concurrent TMS-fMRI studies-Methodological considerations. PLoS One 2017; 12:e0181438. [PMID: 28767670 PMCID: PMC5540584 DOI: 10.1371/journal.pone.0181438] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 06/30/2017] [Indexed: 02/07/2023] Open
Abstract
Neglect and hemianopia are two neuropsychological syndromes that are associated with reduced awareness for visual signals in patients’ contralesional hemifield. They offer the unique possibility to dissociate the contributions of retino-geniculate and retino-colliculo circuitries in visual perception. Yet, insights from patient fMRI studies are limited by heterogeneity in lesion location and extent, long-term functional reorganization and behavioural compensation after stroke. Transcranial magnetic stimulation (TMS) has therefore been proposed as a complementary method to investigate the effect of transient perturbations on functional brain organization. This concurrent TMS-fMRI study applied TMS perturbation to occipital and parietal cortices with the aim to ‘mimick’ neglect and hemianopia. Based on the challenges and interpretational limitations of our own study we aim to provide tutorial guidance on how future studies should compare TMS to primary sensory and association areas that are governed by distinct computational principles, neural dynamics and functional architecture.
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Affiliation(s)
- Joana Leitão
- Max Planck Institute for biological Cybernetics, Tübingen, Germany
- Computational Neuroscience and Cognitive Robotics Centre, University of Birmingham, Birmingham, United Kingdom
- Laboratory for Behavioral Neurology and Imaging of Cognition, Department of Neuroscience, University of Geneva, Geneva, Switzerland
- * E-mail:
| | - Axel Thielscher
- Max Planck Institute for biological Cybernetics, Tübingen, Germany
- Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
- DRCMR, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Johannes Tuennerhoff
- Max Planck Institute for biological Cybernetics, Tübingen, Germany
- University Clinic of Neurology, Tübingen, Germany
| | - Uta Noppeney
- Max Planck Institute for biological Cybernetics, Tübingen, Germany
- Computational Neuroscience and Cognitive Robotics Centre, University of Birmingham, Birmingham, United Kingdom
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50
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Automatized set-up procedure for transcranial magnetic stimulation protocols. Neuroimage 2017; 153:307-318. [DOI: 10.1016/j.neuroimage.2017.04.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 02/03/2017] [Accepted: 04/01/2017] [Indexed: 12/15/2022] Open
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