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Schroeder PA, Nuerk HC, Svaldi J. High-definition turns timing-dependent: Different behavioural consequences during and following cathodal high-definition transcranial direct current stimulation (HD tDCS) in a magnitude classification task. Eur J Neurosci 2024; 59:2967-2978. [PMID: 38566366 DOI: 10.1111/ejn.16321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 02/09/2024] [Accepted: 03/07/2024] [Indexed: 04/04/2024]
Abstract
Neuromodulation with transcranial direct current stimulation (tDCS) can transiently alter neural activity, but its spatial precision is low. High-definition (HD) tDCS was introduced to increase spatial precision by placing additional electrodes over the scalp. Initial evaluations of HD tDCS indicated polarity-specific neurophysiological effects-similar to conventional tDCS albeit with greater spatial precision. Here, we compared the effects of cathodal tDCS or HD tDCS in a 4 × 1 configuration over prefrontal cortex (PFC) regions on behavioural outcomes in a magnitude classification task. We report results on overall performance, on the numerical distance effect as a measure of numerical processing, and on the spatial-numerical associations of response codes (SNARC) effect, which was previously affected by prefrontal tDCS. Healthy volunteers (n = 68) received sham or cathodal HD tDCS at 1 mA over the left dorsolateral prefrontal cortex (DLPFC) or the left inferior frontal gyrus (IFG). Results were compared to an identical protocol with conventional cathodal tDCS to the left PFC versus sham (n = 64). Mixed effects models showed performance gains relative to sham tDCS in all conditions after tDCS (i.e. 'offline'), whereas montages over PFC and DLPFC already showed performance gains during tDCS (i.e. 'online'). In contrast to conventional tDCS, HD tDCS did not reduce the SNARC effect. Neither condition affected numerical processing, as expected. The results suggest that HD tDCS with cathodal polarity might require further adjustments (i.e. regarding tDCS intensity) for effective modulations of cognitive-behavioural performance, which could be achieved by individualised current density in electric field modelling.
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Affiliation(s)
- Philipp A Schroeder
- Department of Psychology, University of Tübingen, Tübingen, Germany
- German Center for Mental Health (DZPG), Tübingen, Germany
| | - Hans-Christoph Nuerk
- Department of Psychology, University of Tübingen, Tübingen, Germany
- German Center for Mental Health (DZPG), Tübingen, Germany
| | - Jennifer Svaldi
- Department of Psychology, University of Tübingen, Tübingen, Germany
- German Center for Mental Health (DZPG), Tübingen, Germany
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2
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Gomez-Tames J, Fernández-Corazza M. Perspectives on Optimized Transcranial Electrical Stimulation Based on Spatial Electric Field Modeling in Humans. J Clin Med 2024; 13:3084. [PMID: 38892794 PMCID: PMC11172989 DOI: 10.3390/jcm13113084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Transcranial electrical stimulation (tES) generates an electric field (or current density) in the brain through surface electrodes attached to the scalp. Clinical significance has been demonstrated, although with moderate and heterogeneous results partly due to a lack of control of the delivered electric currents. In the last decade, computational electric field analysis has allowed the estimation and optimization of the electric field using accurate anatomical head models. This review examines recent tES computational studies, providing a comprehensive background on the technical aspects of adopting computational electric field analysis as a standardized procedure in medical applications. Methods: Specific search strategies were designed to retrieve papers from the Web of Science database. The papers were initially screened based on the soundness of the title and abstract and then on their full contents, resulting in a total of 57 studies. Results: Recent trends were identified in individual- and population-level analysis of the electric field, including head models from non-neurotypical individuals. Advanced optimization techniques that allow a high degree of control with the required focality and direction of the electric field were also summarized. There is also growing evidence of a correlation between the computationally estimated electric field and the observed responses in real experiments. Conclusions: Computational pipelines and optimization algorithms have reached a degree of maturity that provides a rationale to improve tES experimental design and a posteriori analysis of the responses for supporting clinical studies.
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Affiliation(s)
- Jose Gomez-Tames
- Department of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan
- Center for Frontier Medical Engineering, Chiba University, Chiba 263-8522, Japan
| | - Mariano Fernández-Corazza
- LEICI Institute of Research in Electronics, Control and Signal Processing, National University of La Plata, La Plata 1900, Argentina
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Yatsuda K, Yu W, Gomez-Tames J. Population-level insights into temporal interference for focused deep brain neuromodulation. Front Hum Neurosci 2024; 18:1308549. [PMID: 38708141 PMCID: PMC11066208 DOI: 10.3389/fnhum.2024.1308549] [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: 10/06/2023] [Accepted: 04/09/2024] [Indexed: 05/07/2024] Open
Abstract
The ability to stimulate deep brain regions in a focal manner brings new opportunities for treating brain disorders. Temporal interference (TI) stimulation has been suggested as a method to achieve focused stimulation in deep brain targets. Individual-level knowledge of the interferential currents has permitted personalizing TI montage via subject-specific digital human head models, facilitating the estimation of interferential electric currents in the brain. While this individual approach offers a high degree of personalization, the significant intra-and inter-individual variability among specific head models poses challenges when comparing electric-field doses. Furthermore, MRI acquisition to develop a personalized head model, followed by precise methods for placing the optimized electrode positions, is complex and not always available in various clinical settings. Instead, the registration of individual electric fields into brain templates has offered insights into population-level effects and enabled montage optimization using common scalp landmarks. However, population-level knowledge of the interferential currents remains scarce. This work aimed to investigate the effectiveness of targeting deep brain areas using TI in different populations. The results showed a trade-off between deep stimulation and unwanted cortical neuromodulation, which is target-dependent at the group level. A consistent modulated electric field appeared in the deep brain target when the same montage was applied in different populations. However, the performance in terms of focality and variability varied when the same montage was used among populations. Also, group-level TI exhibited greater focality than tACS, reducing unwanted neuromodulation volume in the cortical part by at least 1.5 times, albeit with higher variability. These results provide valuable population-level insights when considering TI montage selection.
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Affiliation(s)
- Kanata Yatsuda
- Department of Medical Engineering, Graduate School of Engineering, Chiba University, Chiba, Japan
| | - Wenwei Yu
- Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
| | - Jose Gomez-Tames
- Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
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Hoebeke Y, Vanderhasselt MA, Carême M, Maurage P, Heeren A. No Impact of Tdcs on Stress-Induced State Rumination and no Influence of Executive Control and Trait Rumination: A Double-Blind Sham-Controlled Within-Subjects Study. CLINICAL NEUROPSYCHIATRY 2024; 21:99-109. [PMID: 38559434 PMCID: PMC10979793 DOI: 10.36131/cnfioritieditore20240107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Objective Rumination is conceptualized as a critical transdiagnostic vulnerability and maintenance factor for affective dysregulation and related emotional disorders. Recent research has pointed to transcranial direct current stimulation (tDCS) as a novel therapeutic tool for alleviating rumination, especially stress-induced rumination. However, the mechanisms of action underlying this effect remain unclear, particularly regarding the potential moderating role of executive control and trait-like rumination. Therefore, in this study, we investigated the impact of anodal tDCS on stress-induced rumination and the potential moderating influence of executive control and trait-like rumination on this efect. Method Forty participants from the general community (i.e., unselected sample) took part in a double-blind within-subjects design study wherein we compared anodal stimulation over the left dorsolateral prefrontal cortex(dlPFC) with a sham-stimulation procedure. Participants completed an N-back task, reflecting executive control, during tDCS stimulation, followed by a stress-induction protocol wherein we assessed stress-induced state rumination. Results We found no significant effect of tDCS on stress-induced state rumination and no modulation by executive control or trait rumination. Post-hoc Bayesian analyses corroborated these results and even supported the hypothesis that anodal tDCS does not impact stress-induced rumination. Conclusions From a clinical perspective, our results are at odds with the current outlook that tDCS is a viable tool for reducing rumination, particularly stress-induced rumination. However, we firmly believe that the results of null-finding studies, such as those from this study, are particularly valuable for future iterations and meta-researchon tDCS as a potential tool for targeting transdiagnostic processes, such as rumination. We also addressed methodological limitations and directions for future research in this area.
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Affiliation(s)
- Yorgo Hoebeke
- Psychological Science Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Marion Carême
- Psychological Science Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Pierre Maurage
- Psychological Science Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- National Foundation for Scientific Research (FRS-FNRS), Brussels, Belgium
| | - Alexandre Heeren
- Psychological Science Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- National Foundation for Scientific Research (FRS-FNRS), Brussels, Belgium
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5
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Soleimani G, Joutsa J, Moussawi K, Siddiqi SH, Kuplicki R, Bikson M, Paulus MP, Fox MD, Hanlon CA, Ekhtiari H. Converging Evidence for Frontopolar Cortex as a Target for Neuromodulation in Addiction Treatment. Am J Psychiatry 2024; 181:100-114. [PMID: 38018143 PMCID: PMC11318367 DOI: 10.1176/appi.ajp.20221022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Noninvasive brain stimulation technologies such as transcranial electrical and magnetic stimulation (tES and TMS) are emerging neuromodulation therapies that are being used to target the neural substrates of substance use disorders. By the end of 2022, 205 trials of tES or TMS in the treatment of substance use disorders had been published, with heterogeneous results, and there is still no consensus on the optimal target brain region. Recent work may help clarify where and how to apply stimulation, owing to expanding databases of neuroimaging studies, new systematic reviews, and improved methods for causal brain mapping. Whereas most previous clinical trials targeted the dorsolateral prefrontal cortex, accumulating data highlight the frontopolar cortex as a promising therapeutic target for transcranial brain stimulation in substance use disorders. This approach is supported by converging multimodal evidence, including lesion-based maps, functional MRI-based maps, tES studies, TMS studies, and dose-response relationships. This review highlights the importance of targeting the frontopolar area and tailoring the treatment according to interindividual variations in brain state and trait and electric field distribution patterns. This converging evidence supports the potential for treatment optimization through context, target, dose, and timing dimensions to improve clinical outcomes of transcranial brain stimulation in people with substance use disorders in future clinical trials.
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Affiliation(s)
- Ghazaleh Soleimani
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Juho Joutsa
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Khaled Moussawi
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Shan H Siddiqi
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Rayus Kuplicki
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Marom Bikson
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Martin P Paulus
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Michael D Fox
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Colleen A Hanlon
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
| | - Hamed Ekhtiari
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis (Soleimani, Ekhtiari); Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, and Neurocenter and Turku PET Center, Turku University Hospital, Turku, Finland (Joutsa); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Moussawi); Center for Brain Circuit Therapeutics and Departments of Neurology, Psychiatry, Neurosurgery, and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston (Siddiqi, Fox); Laureate Institute for Brain Research, Tulsa, Okla. (Kuplicki, Paulus, Ekhtiari); Department of Biomedical Engineering, City College of New York, New York (Bikson); Department Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, N.C. (Hanlon)
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Soleimani G, Kuplicki R, Camchong J, Opitz A, Paulus MP, Lim KO, Ekhtiari H. Are we really targeting and stimulating DLPFC by placing transcranial electrical stimulation (tES) electrodes over F3/F4? Hum Brain Mapp 2023; 44:6275-6287. [PMID: 37750607 PMCID: PMC10619406 DOI: 10.1002/hbm.26492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 08/16/2023] [Accepted: 09/08/2023] [Indexed: 09/27/2023] Open
Abstract
In many clinical trials involving transcranial electrical stimulation (tES), target electrodes are typically placed over DLPFC with the assumption that this will primarily stimulate the underlying brain region. However, our study aimed to evaluate the electric fields (EF) that are actually delivered and identify prefrontal regions that may be inadvertently targeted in DLPFC tES. Head models were generated from the Human Connectome Project database's T1 + T2-weighted MRIs of 80 healthy adults. Two common DLPFC montages were simulated; symmetric-F4/F3, and asymmetric-F4/Fp1. Averaged EF was extracted from (1) the center of the target electrode (F4), and (2) the top 1% of voxels showing the strongest EF in individualized EF maps. Interindividual variabilities were quantified with the standard deviation of EF peak location/value. Similar steps were repeated with 66 participants with methamphetamine use disorder (MUDs) as an independent clinical population. In healthy adults, the group-level location of EF peaks was situated in the medial-frontopolar, and the individualized EF peaks were positioned in a cube with a volume of 29 cm3 /46 cm3 (symmetric/asymmetric montages). EFs in the frontopolar area were significantly higher than EF "under" the target electrode in both symmetric (peak: 0.41 ± 0.06, F4:0.22 ± 0.04) and asymmetric (peak: 0.38 ± 0.04, F4:0.2 ± 0.04) montages (Heges'g > 0.7). Similar results with slight between-group differences were found in MUDs. We highlighted that in common DLPFC tES montages, in addition to interindividual/intergroup variability, the frontopolar received the highest EFs rather than DLPFC as the main target. We specifically recommended considering the potential involvement of the frontopolar area as a mechanism underlying the effectiveness of DLPFC tES protocols.
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Affiliation(s)
- Ghazaleh Soleimani
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research (LIBR)TulsaOklahomaUSA
| | - Jazmin Camchong
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Alexander Opitz
- Department of Biomedical EngineeringUniversity of MinnesotaMinneapolisMinnesotaUSA
| | | | - Kelvin O. Lim
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Hamed Ekhtiari
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
- Laureate Institute for Brain Research (LIBR)TulsaOklahomaUSA
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Van Hoornweder S, Nuyts M, Frieske J, Verstraelen S, Meesen RLJ, Caulfield KA. Outcome measures for electric field modeling in tES and TMS: A systematic review and large-scale modeling study. Neuroimage 2023; 281:120379. [PMID: 37716590 PMCID: PMC11008458 DOI: 10.1016/j.neuroimage.2023.120379] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/18/2023] [Accepted: 09/13/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Electric field (E-field) modeling is a potent tool to estimate the amount of transcranial magnetic and electrical stimulation (TMS and tES, respectively) that reaches the cortex and to address the variable behavioral effects observed in the field. However, outcome measures used to quantify E-fields vary considerably and a thorough comparison is missing. OBJECTIVES This two-part study aimed to examine the different outcome measures used to report on tES and TMS induced E-fields, including volume- and surface-level gray matter, region of interest (ROI), whole brain, geometrical, structural, and percentile-based approaches. The study aimed to guide future research in informed selection of appropriate outcome measures. METHODS Three electronic databases were searched for tES and/or TMS studies quantifying E-fields. The identified outcome measures were compared across volume- and surface-level E-field data in ten tES and TMS modalities targeting two common targets in 100 healthy individuals. RESULTS In the systematic review, we extracted 308 outcome measures from 202 studies that adopted either a gray matter volume-level (n = 197) or surface-level (n = 111) approach. Volume-level results focused on E-field magnitude, while surface-level data encompassed E-field magnitude (n = 64) and normal/tangential E-field components (n = 47). E-fields were extracted in ROIs, such as brain structures and shapes (spheres, hexahedra and cylinders), or the whole brain. Percentiles or mean values were mostly used to quantify E-fields. Our modeling study, which involved 1,000 E-field models and > 1,000,000 extracted E-field values, revealed that different outcome measures yielded distinct E-field values, analyzed different brain regions, and did not always exhibit strong correlations in the same within-subject E-field model. CONCLUSIONS Outcome measure selection significantly impacts the locations and intensities of extracted E-field data in both tES and TMS E-field models. The suitability of different outcome measures depends on the target region, TMS/tES modality, individual anatomy, the analyzed E-field component and the research question. To enhance the quality, rigor, and reproducibility in the E-field modeling domain, we suggest standard reporting practices across studies and provide four recommendations.
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Affiliation(s)
- Sybren Van Hoornweder
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium.
| | - Marten Nuyts
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Joana Frieske
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Stefanie Verstraelen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Raf L J Meesen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Kevin A Caulfield
- Brain Stimulation Laboratory, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States.
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Hunold A, Haueisen J, Nees F, Moliadze V. Review of individualized current flow modeling studies for transcranial electrical stimulation. J Neurosci Res 2023; 101:405-423. [PMID: 36537991 DOI: 10.1002/jnr.25154] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 11/30/2022] [Accepted: 12/03/2022] [Indexed: 12/24/2022]
Abstract
There is substantial intersubject variability of behavioral and neurophysiological responses to transcranial electrical stimulation (tES), which represents one of the most important limitations of tES. Many tES protocols utilize a fixed experimental parameter set disregarding individual anatomical and physiological properties. This one-size-fits-all approach might be one reason for the observed interindividual response variability. Simulation of current flow applying head models based on available anatomical data can help to individualize stimulation parameters and contribute to the understanding of the causes of this response variability. Current flow modeling can be used to retrospectively investigate the characteristics of tES effectivity. Previous studies examined, for example, the impact of skull defects and lesions on the modulation of current flow and demonstrated effective stimulation intensities in different age groups. Furthermore, uncertainty analysis of electrical conductivities in current flow modeling indicated the most influential tissue compartments. Current flow modeling, when used in prospective study planning, can potentially guide stimulation configurations resulting in individually effective tES. Specifically, current flow modeling using individual or matched head models can be employed by clinicians and scientists to, for example, plan dosage in tES protocols for individuals or groups of participants. We review studies that show a relationship between the presence of behavioral/neurophysiological responses and features derived from individualized current flow models. We highlight the potential benefits of individualized current flow modeling.
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Affiliation(s)
- Alexander Hunold
- Institute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany
| | - Jens Haueisen
- Institute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
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9
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Hamajima H, Gomez-Tames J, Uehara S, Otaka Y, Tanaka S, Hirata A. Computation of group-level electric field in lower limb motor area for different tDCS montages. Clin Neurophysiol 2023; 150:69-78. [PMID: 37023635 DOI: 10.1016/j.clinph.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 01/31/2023] [Accepted: 03/09/2023] [Indexed: 03/29/2023]
Abstract
OBJECTIVE Transcranial direct current stimulation (tDCS) injects a weak electric current into the brain via electrodes attached to the scalp to modulate cortical excitability. tDCS is used to rebalance brain activity between affected and unaffected hemispheres in rehabilitation. However, a systematic quantitative evaluation of tDCS montage is not reported for the lower limbs. In this study, we computationally investigated the generated electric field intensity, polarity, and co-stimulation of cortical areas for lower limb targeting using high-resolution head models. METHODS Volume conductor models have thus been employed to estimate the electric field in the brain. A total of 18 head models of healthy subjects were used to calculate the group-level electric fields generated from four montages of tDCS for modulation of lower limbs. RESULTS C1-C2 montage delivered higher electric field intensities while reaching deeper regions of the lower-limb motor area. It produced a uniform polarization on the same hemisphere target with comparable intensities between hemispheres but with higher variability. CONCLUSIONS Proper montage selection allows reaching deeper regions of the lower-limb motor area with uniform polarization. SIGNIFICANCE First systematic computational study providing support to tDCS experimental studies using montages for the lower limb while considering polarity factor for balancing brain activity.
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Van Hoornweder S, Nuyts M, Frieske J, Verstraelen S, Meesen RLJ, Caulfield KA. A Systematic Review and Large-Scale tES and TMS Electric Field Modeling Study Reveals How Outcome Measure Selection Alters Results in a Person- and Montage-Specific Manner. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529540. [PMID: 36865243 PMCID: PMC9980068 DOI: 10.1101/2023.02.22.529540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Background Electric field (E-field) modeling is a potent tool to examine the cortical effects of transcranial magnetic and electrical stimulation (TMS and tES, respectively) and to address the high variability in efficacy observed in the literature. However, outcome measures used to report E-field magnitude vary considerably and have not yet been compared in detail. Objectives The goal of this two-part study, encompassing a systematic review and modeling experiment, was to provide an overview of the different outcome measures used to report the magnitude of tES and TMS E-fields, and to conduct a direct comparison of these measures across different stimulation montages. Methods Three electronic databases were searched for tES and/or TMS studies reporting E-field magnitude. We extracted and discussed outcome measures in studies meeting the inclusion criteria. Additionally, outcome measures were compared via models of four common tES and two TMS modalities in 100 healthy younger adults. Results In the systematic review, we included 118 studies using 151 outcome measures related to E-field magnitude. Structural and spherical regions of interest (ROI) analyses and percentile-based whole-brain analyses were used most often. In the modeling analyses, we found that there was an average of only 6% overlap between ROI and percentile-based whole-brain analyses in the investigated volumes within the same person. The overlap between ROI and whole-brain percentiles was montage- and person-specific, with more focal montages such as 4Ã-1 and APPS-tES, and figure-of-eight TMS showing up to 73%, 60%, and 52% overlap between ROI and percentile approaches respectively. However, even in these cases, 27% or more of the analyzed volume still differed between outcome measures in every analyses. Conclusions The choice of outcome measures meaningfully alters the interpretation of tES and TMS E-field models. Well-considered outcome measure selection is imperative for accurate interpretation of results, valid between-study comparisons, and depends on stimulation focality and study goals. We formulated four recommendations to increase the quality and rigor of E-field modeling outcome measures. With these data and recommendations, we hope to guide future studies towards informed outcome measure selection, and improve the comparability of studies.
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11
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Müller D, Habel U, Brodkin ES, Weidler C. High-definition transcranial direct current stimulation (HD-tDCS) for the enhancement of working memory - A systematic review and meta-analysis of healthy adults. Brain Stimul 2022; 15:1475-1485. [PMID: 36371009 DOI: 10.1016/j.brs.2022.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/19/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND High-definition transcranial direct current stimulation (HD-tDCS) administers weak electric current through multiple electrodes, enabling focal brain stimulation. An increasing number of studies investigate the effects of anodal HD-tDCS on the enhancement of working memory (WM). The effectiveness of the technique is, however, still unclear. OBJECTIVE/HYPOTHESIS This systematic review analyzed the current literature on anodal HD-tDCS for WM enhancement, investigating its effectiveness and the influence of different moderators to allow for comparison with conventional tDCS. METHODS Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, a comprehensive literature review was conducted using PubMed, Web of Science, and Scopus. Sixteen single- or double-blind, sham-controlled studies were included in the review. Eleven studies were included in the meta-analysis, focusing solely on stimulation of the left prefrontal cortex (PFC). RESULTS No significant effect of anodal HD-tDCS on the left PFC for WM accuracy (g = 0.23, p = 0.08), and reaction time (g = 0.03, p = 0.75 after trim-and-fill) was found. Further analysis revealed heterogeneity in the accuracy results. Here, moderator analysis indicated a significant difference between studies that repeatedly used HD-tDCS enhanced WM training and studies with one-time use of HD-tDCS (p < 0.001), the latter having a smaller effect size. Another moderator was the research design, with differences between within-subjects-, and between-subjects designs (p < 0.05). Within-subject studies showed lower effect sizes and substantially lower heterogeneity. Qualitative analysis reinforced this finding and indicated that the motivation of the participant to engage in the task also moderates the effectiveness of HD-tDCS. CONCLUSION This review highlights the importance of inter-individual differences and the setup for the effectiveness of anodal, HD-tDCS augmented WM training. Limited evidence for increased sensitivity of HD-tDCS to these factors as compared to conventional tDCS is provided.
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Affiliation(s)
- Dario Müller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, North Rhine-Westphalia, Germany.
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, North Rhine-Westphalia, Germany; Institute of Neuroscience and Medicine, JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Wilhelm-Johnen-Straße, 52438, Jülich, Germany
| | - Edward S Brodkin
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, Suite 3080, Philadelphia, PA, 19104-3309, USA
| | - Carmen Weidler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, North Rhine-Westphalia, Germany
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12
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Soleimani G, Towhidkhah F, Oghabian MA, Ekhtiari H. DLPFC stimulation alters large-scale brain networks connectivity during a drug cue reactivity task: A tDCS-fMRI study. Front Syst Neurosci 2022; 16:956315. [PMID: 36276607 PMCID: PMC9582757 DOI: 10.3389/fnsys.2022.956315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 08/11/2022] [Indexed: 11/20/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) is a promising intervention for reducing craving/consumption in individuals with substance use disorders. However, its exact mechanism of action has not yet been well explored. We aimed to examine the network-based effects of tDCS while people with methamphetamine use disorders (MUDs) were exposed to drug cues. In a randomized, double-blind sham-controlled trial with a crossover design, 15 participants with MUDs were recruited to receive 20 min of active/sham tDCS with an anode/cathode over F4/F3. MRI data, including structural and task-based functional MRI during a standard drug cue-reactivity task, were collected immediately before and after stimulation sessions. Craving scores were also recorded before and after MRI scans. Individualized head models were generated to determine brain regions with strong electric fields (EFs). Using atlas-based parcellation of head models, averaged EFs were extracted from the main nodes of three large-scale networks that showed abnormalities in MUDs; executive control (ECN), default mode (DMN), and ventral attention (VAN) networks. Main nodes with high EF intensity were used as seed regions for task-based functional connectivity (FC) [using generalized psychophysiological interaction (gPPI)] and activity [using a general linear model (GLM)] calculations. Subjective craving showed a significant reduction in immediate craving after active (-15.42 ± 5.42) compared to sham (-1 ± 2.63). In seed-to-whole brain results, the PFC node in ECN showed an enhanced PPI connectivity with precuneus and visual cortex; the cluster center in MNI (6, -84, -12); the PFC node in DMN showed a decreased PPI connectivity with contralateral parietal cortex;(-48, -60, 46). ROI-to-ROI results showed increased PPI connectivity within/between ECN-VAN while connectivity between ECN-DMN decreased. In line with connectivity, functional activity in the right PFC node in DMN decreased after tDCS while activity in PFC nodes of ECN/VAN increased. EF calculations in PFC nodes revealed that EF in DMN was outward, while the direction of EFs was inward in ECN/VAN. This study provides new insight into neural circuitry underlying MUDs that can be modulated by tDCS at the network level and specifically suggests that bilateral tDCS increases cortical excitability in ECN and VAN, while it has opposite effects on DMN that may be related to the direction of EFs.
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Affiliation(s)
- Ghazaleh Soleimani
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
- Iranian National Center for Addiction Studies, Tehran University of Medical Science, Tehran, Iran
| | - Farzad Towhidkhah
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Ekhtiari
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
- Laureate Institute for Brain Research, Tulsa, OK, United States
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13
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Nandi T, Puonti O, Clarke WT, Nettekoven C, Barron HC, Kolasinski J, Hanayik T, Hinson EL, Berrington A, Bachtiar V, Johnstone A, Winkler AM, Thielscher A, Johansen-Berg H, Stagg CJ. tDCS induced GABA change is associated with the simulated electric field in M1, an effect mediated by grey matter volume in the MRS voxel. Brain Stimul 2022; 15:1153-1162. [PMID: 35988862 PMCID: PMC7613675 DOI: 10.1016/j.brs.2022.07.049] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/12/2022] [Accepted: 07/26/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Transcranial direct current stimulation (tDCS) has wide ranging applications in neuro-behavioural and physiological research, and in neurological rehabilitation. However, it is currently limited by substantial inter-subject variability in responses, which may be explained, at least in part, by anatomical differences that lead to variability in the electric field (E-field) induced in the cortex. Here, we tested whether the variability in the E-field in the stimulated cortex during anodal tDCS, estimated using computational simulations, explains the variability in tDCS induced changes in GABA, a neurophysiological marker of stimulation effect. METHODS Data from five previously conducted MRS studies were combined. The anode was placed over the left primary motor cortex (M1, 3 studies, N = 24) or right temporal cortex (2 studies, N = 32), with the cathode over the contralateral supraorbital ridge. Single voxel spectroscopy was performed in a 2x2x2cm voxel under the anode in all cases. MRS data were acquired before and either during or after 1 mA tDCS using either a sLASER sequence (7T) or a MEGA-PRESS sequence (3T). sLASER MRS data were analysed using LCModel, and MEGA-PRESS using FID-A and Gannet. E-fields were simulated in a finite element model of the head, based on individual structural MR images, using SimNIBS. Separate linear mixed effects models were run for each E-field variable (mean and 95th percentile; magnitude, and components normal and tangential to grey matter surface, within the MRS voxel). The model included effects of time (pre or post tDCS), E-field, grey matter volume in the MRS voxel, and a 3-way interaction between time, E-field and grey matter volume. Additionally, we ran a permutation analysis using PALM to determine whether E-field anywhere in the brain, not just in the MRS voxel, correlated with GABA change. RESULTS In M1, higher mean E-field magnitude was associated with greater anodal tDCS-induced decreases in GABA (t(24) = 3.24, p = 0.003). Further, the association between mean E-field magnitude and GABA change was moderated by the grey matter volume in the MRS voxel (t(24) = -3.55, p = 0.002). These relationships were consistent across all E-field variables except the mean of the normal component. No significant relationship was found between tDCS-induced GABA decrease and E-field in the temporal voxel. No significant clusters were found in the whole brain analysis. CONCLUSIONS Our data suggest that the electric field induced by tDCS within the brain is variable, and is significantly related to anodal tDCS-induced decrease in GABA, a key neurophysiological marker of stimulation. These findings strongly support individualised dosing of tDCS, at least in M1. Further studies examining E-fields in relation to other outcome measures, including behaviour, will help determine the optimal E-fields required for any desired effects.
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Affiliation(s)
- Tulika Nandi
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; NeuroImaging Center (NIC), Johannes Gutenberg University Medical Center, Germany.
| | - Oula Puonti
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Caroline Nettekoven
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Helen C Barron
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | | | - Taylor Hanayik
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Emily L Hinson
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Adam Berrington
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, UK
| | - Velicia Bachtiar
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | | | - Anderson M Winkler
- National Institute of Mental Health, National Institutes of Health, United States
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Heidi Johansen-Berg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
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14
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Ekhtiari H, Soleimani G, Kuplicki R, Yeh H, Cha Y, Paulus M. Transcranial direct current stimulation to modulate fMRI drug cue reactivity in methamphetamine users: A randomized clinical trial. Hum Brain Mapp 2022; 43:5340-5357. [PMID: 35915567 PMCID: PMC9812244 DOI: 10.1002/hbm.26007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 01/15/2023] Open
Abstract
Transcranial direct current stimulation (tDCS) has been studied as a therapeutic option to alter maladaptive brain functions associated with chronic substance use. We present a randomized, triple-blind, sham-controlled, clinical trial to determine the neural substrates of tDCS effects on drug craving. Sixty participants with methamphetamine use disorder were assigned to two groups: active tDCS (5 x 7 cm2 , 2 mA, 20 min, anode/cathode over the F4/Fp1) and sham stimulation. Neuroimaging data of a methamphetamine cue reactivity task were collected immediately before and after stimulation. There was a significant reduction in self-reported craving after stimulation without any significant effect of time-by-group interaction. Our whole-brain analysis demonstrated that there was a global decrease in brain reactivity to cues following sham but not active tDCS. There were significant time-by-group interactions in five main clusters in middle and inferior frontal gyri, anterior insula, inferior parietal lobule, and precuneus with higher activations after active stimulation. There was a significant effect of stimulation type in the relationship between electrical current at the individual level and changes in task-modulated activation. Brain regions with the highest electric current in the prefrontal cortex showed a significant time-by-group interaction in task-modulated connectivity in the frontoparietal network. In this trial, there was no significant effect of the one session of active-F4/Fp1 tDCS on drug craving self-report compared to sham stimulation. However, activation and connectivity differences induced by active compared to sham stimulation suggested some potential mechanisms of tDCS to modulate neural response to drug cues.
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Affiliation(s)
| | - Ghazaleh Soleimani
- Department of Biomedical EngineeringAmirkabir University of TechnologyTehranIran,Iranian National Center for Addiction StudiesTehran University of Medical SciencesTehranIran
| | | | - Hung‐Wen Yeh
- UMKC School of MedicineUniversity of Missouri‐Kansas City School of MedicineKansa CityMissouriUSA
| | - Yoon‐Hee Cha
- Department of Psychiatry, Medical schoolUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Martin Paulus
- Laureate Institute for Brain ResearchTulsaOklahomaUSA
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15
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Mizutani-Tiebel Y, Takahashi S, Karali T, Mezger E, Bulubas L, Papazova I, Dechantsreiter E, Stoecklein S, Papazov B, Thielscher A, Padberg F, Keeser D. Differences in electric field strength between clinical and non-clinical populations induced by prefrontal tDCS: A cross-diagnostic, individual MRI-based modeling study. Neuroimage Clin 2022; 34:103011. [PMID: 35487132 PMCID: PMC9125784 DOI: 10.1016/j.nicl.2022.103011] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/17/2022] [Accepted: 04/13/2022] [Indexed: 01/25/2023]
Abstract
MDD and SCZ showed lower prefrontal tDCS-induced e-field strengths compared to HC. Average e-field strengths did not significantly differ between MDD and SCZ patients. Inter-individual variability of e-field intensities and distribution was prominent. Inter-rater variability emphasizes the importance of standardized positioning.
Introduction Prefrontal cortex (PFC) regions are promising targets for therapeutic applications of non-invasive brain stimulation, e.g. transcranial direct current stimulation (tDCS), which has been proposed as a novel intervention for major depressive disorder (MDD) and negative symptoms of schizophrenia (SCZ). However, the effects of tDCS vary inter-individually, and dose–response relationships have not been established. Stimulation parameters are often tested in healthy subjects and transferred to clinical populations. The current study investigates the variability of individual MRI-based electric fields (e-fields) of standard bifrontal tDCS across individual subjects and diagnoses. Method The study included 74 subjects, i.e. 25 patients with MDD, 24 patients with SCZ, and 25 healthy controls (HC). Individual e-fields of a common tDCS protocol (i.e. 2 mA stimulation intensity, bifrontal anode-F3/cathode-F4 montage) were modeled by two investigators using SimNIBS (2.0.1) based on structural MRI scans. Result On a whole-brain level, the average e-field strength was significantly reduced in MDD and SCZ compared to HC, but MDD and SCZ did not differ significantly. Regions of interest (ROI) analysis for PFC subregions showed reduced e-fields in Sallet areas 8B and 9 for MDD and SCZ compared to HC, whereas there was again no difference between MDD and SCZ. Within groups, we generally observed high inter-individual variability of e-field intensities at a higher percentile of voxels. Conclusion MRI-based e-field modeling revealed significant differences in e-field strengths between clinical and non-clinical populations in addition to a general inter-individual variability. These findings support the notion that dose–response relationships for tDCS cannot be simply transferred from healthy to clinical cohorts and need to be individually established for clinical groups. In this respect, MRI-based e-field modeling may serve as a proxy for individualized dosing.
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Affiliation(s)
- Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; NeuroImaging Core Unit Munich (NICUM), Munich, Germany.
| | - Shun Takahashi
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Temmuz Karali
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany
| | - Eva Mezger
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - Lucia Bulubas
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Irina Papazova
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Psychiatry and Psychotherapy, University of Augsburg, Germany
| | - Esther Dechantsreiter
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | | | - Boris Papazov
- NeuroImaging Core Unit Munich (NICUM), Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark; Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; NeuroImaging Core Unit Munich (NICUM), Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany; Munich Center for Neurosciences (MCN) - Brain & Mind, 82152 Planegg-Martinsried, Germany.
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16
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Chenot Q, Hamery C, Lepron E, Besson P, De Boissezon X, Perrey S, Scannella S. Performance after training in a complex cognitive task is enhanced by high-definition transcranial random noise stimulation. Sci Rep 2022; 12:4618. [PMID: 35301388 PMCID: PMC8931133 DOI: 10.1038/s41598-022-08545-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/28/2022] [Indexed: 11/10/2022] Open
Abstract
Interest for neuromodulation, and transcranial random noise stimulation (tRNS) in particular, is growing. It concerns patients rehabilitation, but also healthy people who want or need to improve their cognitive and learning abilities. However, there is no consensus yet regarding the efficacy of tRNS on learning and performing a complex task. In particular, the most effective electrode montage is yet to be determined. Here, we examined the effect of two different tRNS montages on learning rate, short- and long-term performance in a video game (Space Fortress) that engages multiple cognitive abilities. Sixty-one participants were randomly assigned to one of three groups (sham vs. simple-definition tRNS vs. high-definition tRNS) in a double-blind protocol. Their performance on the Space Fortress task was monitored during a 15-day experiment with baseline (day 1), stimulation (day 2 to 4), short- (day 5) and long-term (day 15) evaluations. Our results show that the high-definition tRNS group improved more on the long term than simple-definition tRNS group, tended to learn faster and had better performance retention compared to both simple-definition tRNS and sham groups. This study is the first to report that high-definition tRNS is more effective than conventional simple-definition tRNS to enhance performance in a complex task.
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Affiliation(s)
| | | | | | - Pierre Besson
- EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France
| | - Xavier De Boissezon
- Toulouse Neuroimaging Center (ToNIC), Université de Toulouse, INSERM, Toulouse, France.,Department of Physical Medicine and Rehabilitation, University Hospital of Toulouse, Toulouse, France
| | - Stéphane Perrey
- EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France
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17
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Suzuki M, Tanaka S, Gomez-Tames J, Okabe T, Cho K, Iso N, Hirata A. Nonequivalent After-Effects of Alternating Current Stimulation on Motor Cortex Oscillation and Inhibition: Simulation and Experimental Study. Brain Sci 2022; 12:brainsci12020195. [PMID: 35203958 PMCID: PMC8870173 DOI: 10.3390/brainsci12020195] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/28/2022] [Accepted: 01/28/2022] [Indexed: 02/01/2023] Open
Abstract
The effects of transcranial alternating current stimulation (tACS) frequency on brain oscillations and cortical excitability are still controversial. Therefore, this study investigated how different tACS frequencies differentially modulate cortical oscillation and inhibition. To do so, we first determined the optimal positioning of tACS electrodes through an electric field simulation constructed from magnetic resonance images. Seven electrode configurations were tested on the electric field of the precentral gyrus (hand motor area). We determined that the Cz-CP1 configuration was optimal, as it resulted in higher electric field values and minimized the intra-individual differences in the electric field. Therefore, tACS was delivered to the hand motor area through this arrangement at a fixed frequency of 10 Hz (alpha-tACS) or 20 Hz (beta-tACS) with a peak-to-peak amplitude of 0.6 mA for 20 min. We found that alpha- and beta-tACS resulted in larger alpha and beta oscillations, respectively, compared with the oscillations observed after sham-tACS. In addition, alpha- and beta-tACS decreased the amplitudes of conditioned motor evoked potentials and increased alpha and beta activity, respectively. Correspondingly, alpha- and beta-tACSs enhanced cortical inhibition. These results show that tACS frequency differentially affects motor cortex oscillation and inhibition.
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Affiliation(s)
- Makoto Suzuki
- Faculty of Health Sciences, Tokyo Kasei University, 2-15-1 Inariyama, Sayama 350-1398, Saitama, Japan; (T.O.); (K.C.); (N.I.)
- Correspondence: ; Tel.: +81-42-955-6074
| | - Satoshi Tanaka
- Laboratory of Psychology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Shizuoka, Japan;
| | - Jose Gomez-Tames
- Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Aichi, Japan; (J.G.-T.); (A.H.)
- Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Aichi, Japan
| | - Takuhiro Okabe
- Faculty of Health Sciences, Tokyo Kasei University, 2-15-1 Inariyama, Sayama 350-1398, Saitama, Japan; (T.O.); (K.C.); (N.I.)
| | - Kilchoon Cho
- Faculty of Health Sciences, Tokyo Kasei University, 2-15-1 Inariyama, Sayama 350-1398, Saitama, Japan; (T.O.); (K.C.); (N.I.)
| | - Naoki Iso
- Faculty of Health Sciences, Tokyo Kasei University, 2-15-1 Inariyama, Sayama 350-1398, Saitama, Japan; (T.O.); (K.C.); (N.I.)
| | - Akimasa Hirata
- Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Aichi, Japan; (J.G.-T.); (A.H.)
- Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Aichi, Japan
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18
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Leaver AM, Gonzalez S, Vasavada M, Kubicki A, Jog M, Wang DJJ, Woods RP, Espinoza R, Gollan J, Parrish T, Narr KL. Modulation of Brain Networks during MR-Compatible Transcranial Direct Current Stimulation. Neuroimage 2022; 250:118874. [PMID: 35017127 PMCID: PMC9623807 DOI: 10.1016/j.neuroimage.2022.118874] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 11/16/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) can influence performance on behavioral tasks and improve symptoms of brain conditions. Yet, it remains unclear precisely how tDCS affects brain function and connectivity. Here, we measured changes in functional connectivity (FC) metrics in blood-oxygenation-level-dependent (BOLD) fMRI data acquired during MR-compatible tDCS in a whole-brain analysis with corrections for false discovery rate. Volunteers (n=64) received active tDCS, sham tDCS, and rest (no stimulation), using one of three previously established electrode tDCS montages targeting left dorsolateral prefrontal cortex (DLPFC, n=37), lateral temporoparietal area (LTA, n=16), or superior temporal cortex (STC, n=11). In brain networks where simulated E field was highest in each montage, connectivity with remote nodes decreased during active tDCS. During active DLPFC-tDCS, connectivity decreased between a fronto-parietal network and subgenual ACC, while during LTA-tDCS connectivity decreased between an auditory-somatomotor network and frontal operculum. Active DLPFC-tDCS was also associated with increased connectivity within an orbitofrontal network overlapping subgenual ACC. Irrespective of montage, FC metrics increased in sensorimotor and attention regions during both active and sham tDCS, which may reflect the cognitive-perceptual demands of tDCS. Taken together, these results indicate that tDCS may have both intended and unintended effects on ongoing brain activity, stressing the importance of including sham, stimulation-absent, and active comparators in basic science and clinical trials of tDCS.
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Affiliation(s)
- Amber M Leaver
- Department of Radiology, Northwestern University, Chicago, IL, 60611; Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095.
| | - Sara Gonzalez
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Megha Vasavada
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Antoni Kubicki
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Mayank Jog
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Danny J J Wang
- Department of Neurology, University of Southern California, Los Angeles CA 90033
| | - Roger P Woods
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095
| | - Jacqueline Gollan
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, 60611
| | - Todd Parrish
- Department of Radiology, Northwestern University, Chicago, IL, 60611
| | - Katherine L Narr
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095
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19
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Wischnewski M, Mantell KE, Opitz A. Identifying regions in prefrontal cortex related to working memory improvement: A novel meta-analytic method using electric field modeling. Neurosci Biobehav Rev 2021; 130:147-161. [PMID: 34418436 DOI: 10.1016/j.neubiorev.2021.08.017] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 07/09/2021] [Accepted: 08/15/2021] [Indexed: 12/17/2022]
Abstract
Altering cortical activity using transcranial direct current stimulation (tDCS) has been shown to improve working memory (WM) performance. Due to large inter-experimental variability in the tDCS montage configuration and strength of induced electric fields, results have been mixed. Here, we present a novel meta-analytic method relating behavioral effect sizes to electric field strength to identify brain regions underlying largest tDCS-induced WM improvement. Simulations on 69 studies targeting left prefrontal cortex showed that tDCS electric field strength in lower dorsolateral prefrontal cortex (Brodmann area 45/47) relates most strongly to improved WM performance. This region explained 7.8 % of variance, equaling a medium effect. A similar region was identified when correlating WM performance and electric field strength of right prefrontal tDCS studies (n = 18). Maximum electric field strength of five previously used tDCS configurations were outside of this location. We thus propose a new tDCS montage which maximizes the tDCS electric field strength in that brain region. Our findings can benefit future tDCS studies that aim to affect WM function.
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Affiliation(s)
- Miles Wischnewski
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.
| | - Kathleen E Mantell
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Alexander Opitz
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
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20
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Moreira A, Machado DGDS, Bikson M, Unal G, Bradley PS, Moscaleski L, Costa T, Kalil GCSG, Chao LW, Baptista AF, Morya E, Okano AH. Effect of Transcranial Direct Current Stimulation on Professional Female Soccer Players' Recovery Following Official Matches. Percept Mot Skills 2021; 128:1504-1529. [PMID: 34056967 DOI: 10.1177/00315125211021239] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This study investigated the effect of transcranial direct current stimulation (tDCS) combined with a recovery training session on the well-being and self-perceived recovery of professional female soccer players after official matches. Data from 13 world-class players were analyzed after participating in four official soccer matches of the first division of the Brazilian Women's Soccer Championship (7-, 10-, and 13-day intervals). We applied anodal tDCS (a-tDCS) over the left dorsolateral prefrontal cortex with 2 mA for 20 minutes (+F3/-F4 montage) the day after each match. Participants underwent two randomly ordered sessions of a-tDCS or sham. Players completed the Well-Being Questionnaire (WBQ) and the Total Quality Recovery (TQR) scale before each experimental condition and again the following morning. A two-way repeated-measures ANOVA showed a significant time x condition interaction on the WBQ (F(1,11)=5.21; p=0.043; ηp2=0.32), but not on the TQR (F(1,12) = 0.552; p = 0.47; ηp2 = 0.044). There was a large effect size (ES) for a-tDCS for the WBQ score (ES = 1.02; 95%CI = 0.17;1.88), and there was a moderate WBQ score increase (ES = 0.53; 95%CI = -0.29;1.34) for the sham condition. We found similar increases in the TQR score for a-tDCS (ES = 1.50; 95%CI = 0.63-2.37) and the sham condition (ES = 1.36; 95%CI = 0.51-2.22). These results suggest that a-tDCS (+F3/-F4 montage) combined with a recovery training session may slightly improve perceived well-being beyond the level of improvement after only the recovery training session among world-class female soccer players. Prior to widely adopting this recovery approach, further study is needed with larger and more diverse samples, including for female teams of different performance levels.
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Affiliation(s)
- Alexandre Moreira
- Department of Sport, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/ CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Daniel Gomes da Silva Machado
- Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil.,Graduate Program in Collective Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of New York, New York, United States
| | - Gozde Unal
- Department of Biomedical Engineering, The City College of New York, New York, United States
| | - Paul S Bradley
- Research Institute of Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Luciane Moscaleski
- Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/ CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Taline Costa
- Sports Medicine Department, Sport Clube Corinthians Paulista, São Paulo, Brazil
| | - Gabriella C S G Kalil
- Department of Sport, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil
| | - Liaw W Chao
- Centro de Acupuntura, Instituto de Ortopedia e Traumatologia - HCFMUSP, São Paulo, Brazil
| | - Abrahão F Baptista
- Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.,Laboratory of Medical Investigation 54 (LIM-54), Hospital das Clínicas, Faculdade de Medicina da USP, São Paulo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/ CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Edgard Morya
- Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Rio Grande do Norte, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/ CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Alexandre H Okano
- Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/ CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
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