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Yuan X, Zhong X, Wang C, Dai Y, Yang Y, Jiang C. Temporo-Parietal cortex activation during motor imagery in older adults: A case study of Baduanjin. Brain Cogn 2023; 173:106103. [PMID: 37922628 DOI: 10.1016/j.bandc.2023.106103] [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: 05/03/2023] [Revised: 10/03/2023] [Accepted: 10/22/2023] [Indexed: 11/07/2023]
Abstract
Age-associated cognitive and motor decline is related to central nervous system injury in older adults. Motor imagery training (MIT), as an emerging rehabilitative intervention, can activate neural basis similar to that in actual exercise, so as to promote motor function in older adults. The complex motor skills rely on the functional integration of the cerebral cortex. Understanding the neural mechanisms underlying motor imagery in older adults would support its application in motor rehabilitation and slowing cognitive decline. Based on this, the present study used functional near infrared spectroscopy (fNIRS) to record the changes in oxygen saturation in older adults (20 participants; mean age, 64.8 ± 4.5 years) during Baduanjin motor execution (ME) and motor imagery (MI). ME significantly activated the left postcentral gyrus, while the oxy-hemoglobin concentration in the right middle temporal gyrus increased significantly during motor imagery. These results indicate that advanced ME activates brain regions related to sensorimotor function, and MI increases the activation of the frontal-parietal cortex related to vision. In older adults, MI overactivated the temporo-parietal region associated with vision, and tend to be activated in the right brain.
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Affiliation(s)
- Xiaoxia Yuan
- Beijing Key Laboratory of Physical Fitness Evaluation and Technical Analysis, Capital University of Physical Education and Sports, Beijing 100191, China; The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Sport, Exercise and Rehabilitation Sciences, The University of Birmingham, Birmingham B25 2TT, UK.
| | - Xiaoke Zhong
- Beijing Key Laboratory of Physical Fitness Evaluation and Technical Analysis, Capital University of Physical Education and Sports, Beijing 100191, China; The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China.
| | - Chen Wang
- Beijing Key Laboratory of Physical Fitness Evaluation and Technical Analysis, Capital University of Physical Education and Sports, Beijing 100191, China; The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China.
| | - Yuanfu Dai
- Beijing Key Laboratory of Physical Fitness Evaluation and Technical Analysis, Capital University of Physical Education and Sports, Beijing 100191, China; The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China.
| | - Yuan Yang
- Sports Department, Beihang University, Beijing 100191, China.
| | - Changhao Jiang
- Beijing Key Laboratory of Physical Fitness Evaluation and Technical Analysis, Capital University of Physical Education and Sports, Beijing 100191, China; The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China.
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Siew-Pin Leuk J, Yow KE, Zi-Xin Tan C, Hendy AM, Kar-Wing Tan M, Hock-Beng Ng T, Teo WP. A meta-analytical review of transcranial direct current stimulation parameters on upper limb motor learning in healthy older adults and people with Parkinson's disease. Rev Neurosci 2022; 34:325-348. [PMID: 36138560 DOI: 10.1515/revneuro-2022-0073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/22/2022] [Indexed: 11/15/2022]
Abstract
Current literature lacks consolidated evidence for the impact of stimulation parameters on the effects of transcranial direct current stimulation (tDCS) in enhancing upper limb motor learning. Hence, we aim to synthesise available methodologies and results to guide future research on the usage of tDCS on upper limb motor learning, specifically in older adults and Parkinson's disease (PD). Thirty-two studies (Healthy older adults, N = 526, M = 67.25, SD = 4.30 years; PD, N = 216, M = 66.62, SD = 6.25 years) were included in the meta-analysis. All included studies consisted of active and sham protocols. Random effect meta-analyses were conducted for (i) subjects (healthy older adults and PD); (ii) intensity (1.0, 1.5, 2 mA); (iii) electrode montage (unilateral anodal, bilateral anodal, unilateral cathodal); (iv) stimulation site (cerebellum, frontal, motor, premotor, SMA, somatosensory); (v) protocol (online, offline). Significant tDCS effect on motor learning was reported for both populations, intensity 1.0 and 2.0 mA, unilateral anodal and cathodal stimulation, stimulation site of the motor and premotor cortex, and both online and offline protocols. Regression showed no significant relationship between tDCS effects and density. The efficacy of tDCS is also not affected by the number of sessions. However, studies that reported only single session tDCS found significant negative association between duration with motor learning outcomes. Our findings suggest that different stimulation parameters enhanced upper limb motor learning in older adults and PD. Future research should combine tDCS with neuroimaging techniques to help with optimisation of the stimulation parameters, considering the type of task and population.
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Affiliation(s)
- Jessie Siew-Pin Leuk
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
| | - Kai-En Yow
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
| | - Clenyce Zi-Xin Tan
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
| | - Ashlee M Hendy
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences (SENS), Deakin University, 221 Burwood Highway, Burwood, VIC 3125, Australia
| | - Mika Kar-Wing Tan
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
| | - Tommy Hock-Beng Ng
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
| | - Wei-Peng Teo
- Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore
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Kuo IJ, Tang CW, Tsai YA, Tang SC, Lin CJ, Hsu SP, Liang WK, Juan CH, Zich C, Stagg CJ, Lee IH. Neurophysiological signatures of hand motor response to dual-transcranial direct current stimulation in subacute stroke: a TMS and MEG study. J Neuroeng Rehabil 2020; 17:72. [PMID: 32527268 PMCID: PMC7291576 DOI: 10.1186/s12984-020-00706-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 06/01/2020] [Indexed: 11/11/2022] Open
Abstract
Background Dual transcranial direct current stimulation (tDCS) to the bilateral primary motor cortices (M1s) has potential benefits in chronic stroke, but its effects in subacute stroke, when behavioural effects might be expected to be greater, have been relatively unexplored. Here, we examined the neurophysiological effects and the factors influencing responsiveness of dual-tDCS in subacute stroke survivors. Methods We conducted a randomized sham-controlled crossover study in 18 survivors with first-ever, unilateral subcortical ischaemic stroke 2–4 weeks after stroke onset and 14 matched healthy controls. Participants had real dual-tDCS (with an ipsilesional [right for controls] M1 anode and a contralesional M1 [left for controls] cathode; 2 mA for 20mins) and sham dual-tDCS on separate days, with concurrent paretic [left for controls] hand exercise. Using transcranial magnetic stimulation (TMS) and magnetoencephalography (MEG), we recorded motor evoked potentials (MEPs), the ipsilateral silent period (iSP), short-interval intracortical inhibition, and finger movement-related cortical oscillations before and immediately after tDCS. Results Stroke survivors had decreased excitability in ipsilesional M1 with a relatively excessive transcallosal inhibition from the contralesional to ipsilesional hemisphere at baseline compared with controls, as quantified by decreased MEPs and increased iSP duration. Dual-tDCS led to increased MEPs and decreased iSP duration in ipsilesional M1. The magnitude of the tDCS-induced MEP increase in stroke survivors was predicted by baseline contralesional-to-ipsilesional transcallosal inhibition (iSP) ratio. Baseline post-movement synchronization in α-band activity in ipsilesional M1 was decreased after stroke compared with controls, and its tDCS-induced increase correlated with upper limb score in stroke survivors. No significant adverse effects were observed during or after dual-tDCS. Conclusions Task-concurrent dual-tDCS in subacute stroke can safely and effectively modulate bilateral M1 excitability and inter-hemispheric imbalance and also movement-related α-activity.
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Affiliation(s)
- I-Ju Kuo
- Institute of Brain Science, Brain Research Center, National Yang-Ming University, No.155, Sec. 2, Linong St., Beitou Dist, Taipei City, 112, Taiwan.,Department of Neurosurgery, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist, Taipei City, 112, Taiwan
| | - Chih-Wei Tang
- Institute of Brain Science, Brain Research Center, National Yang-Ming University, No.155, Sec. 2, Linong St., Beitou Dist, Taipei City, 112, Taiwan.,Department of Neurology, Far Eastern Memorial Hospital, No.21, Sec. 2, Nanya S. Rd., Banqiao Dist, New Taipei City, 220, Taiwan
| | - Yun-An Tsai
- Department of Neurosurgery, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist, Taipei City, 112, Taiwan
| | - Shuen-Chang Tang
- Department of Neurosurgery, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist, Taipei City, 112, Taiwan
| | - Chun-Jen Lin
- Institute of Brain Science, Brain Research Center, National Yang-Ming University, No.155, Sec. 2, Linong St., Beitou Dist, Taipei City, 112, Taiwan.,Division of Cerebrovascular Diseases, Neurological Institute, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist, Taipei City, 112, Taiwan
| | - Shih-Pin Hsu
- Institute of Brain Science, Brain Research Center, National Yang-Ming University, No.155, Sec. 2, Linong St., Beitou Dist, Taipei City, 112, Taiwan
| | - Wei-Kuang Liang
- Institute of Cognitive Neuroscience, National Central University, No.300, Zhongda Rd., Zhongli Dist, Taoyuan City, 320, Taiwan
| | - Chi-Hung Juan
- Institute of Cognitive Neuroscience, National Central University, No.300, Zhongda Rd., Zhongli Dist, Taoyuan City, 320, Taiwan
| | - Catharina Zich
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.,MRC Brain Network Dynamics Unit, University of Oxford, Oxford, OX1 3TH, UK
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.,MRC Brain Network Dynamics Unit, University of Oxford, Oxford, OX1 3TH, UK
| | - I-Hui Lee
- Institute of Brain Science, Brain Research Center, National Yang-Ming University, No.155, Sec. 2, Linong St., Beitou Dist, Taipei City, 112, Taiwan. .,Division of Cerebrovascular Diseases, Neurological Institute, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist, Taipei City, 112, Taiwan.
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Morya E, Monte-Silva K, Bikson M, Esmaeilpour Z, Biazoli CE, Fonseca A, Bocci T, Farzan F, Chatterjee R, Hausdorff JM, da Silva Machado DG, Brunoni AR, Mezger E, Moscaleski LA, Pegado R, Sato JR, Caetano MS, Sá KN, Tanaka C, Li LM, Baptista AF, Okano AH. Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes. J Neuroeng Rehabil 2019; 16:141. [PMID: 31730494 PMCID: PMC6858746 DOI: 10.1186/s12984-019-0581-1] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 08/19/2019] [Indexed: 02/07/2023] Open
Abstract
Transcranial Direct Current Stimulation (tDCS) is a non-invasive technique used to modulate neural tissue. Neuromodulation apparently improves cognitive functions in several neurologic diseases treatment and sports performance. In this study, we present a comprehensive, integrative review of tDCS for motor rehabilitation and motor learning in healthy individuals, athletes and multiple neurologic and neuropsychiatric conditions. We also report on neuromodulation mechanisms, main applications, current knowledge including areas such as language, embodied cognition, functional and social aspects, and future directions. We present the use and perspectives of new developments in tDCS technology, namely high-definition tDCS (HD-tDCS) which promises to overcome one of the main tDCS limitation (i.e., low focality) and its application for neurological disease, pain relief, and motor learning/rehabilitation. Finally, we provided information regarding the Transcutaneous Spinal Direct Current Stimulation (tsDCS) in clinical applications, Cerebellar tDCS (ctDCS) and its influence on motor learning, and TMS combined with electroencephalography (EEG) as a tool to evaluate tDCS effects on brain function.
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Affiliation(s)
- Edgard Morya
- Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, Rio Grande do Norte Brazil
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Kátia Monte-Silva
- Universidade Federal de Pernambuco, Recife, Pernambuco Brazil
- Núcleo de Assistência e Pesquisa em Neuromodulação (NAPeN), Universidade Federal do ABC (UFABC)/Universidade de São Paulo (USP)/Universidade Cidade de São Paulo (UNICID)/Universidade Federal de Pernambuco (UFPE), Escola Bahiana de Medicina e Saúde Pública (EBMSP), Santo André, Brazil
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of New York of CUNY, New York, NY USA
| | - Zeinab Esmaeilpour
- Department of Biomedical Engineering, The City College of New York of CUNY, New York, NY USA
| | - Claudinei Eduardo Biazoli
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
| | - Andre Fonseca
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
| | - Tommaso Bocci
- Aldo Ravelli Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, International Medical School, University of Milan, Milan, Italy
| | - Faranak Farzan
- School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia Canada
| | - Raaj Chatterjee
- School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia Canada
| | - Jeffrey M. Hausdorff
- Department of Physical Therapy, Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | | | | | - Eva Mezger
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Luciane Aparecida Moscaleski
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
| | - Rodrigo Pegado
- Graduate Program in Rehabilitation Science, Universidade Federal do Rio Grande do Norte, Santa Cruz, Rio Grande do Norte Brazil
| | - João Ricardo Sato
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
| | - Marcelo Salvador Caetano
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
| | - Kátia Nunes Sá
- Núcleo de Assistência e Pesquisa em Neuromodulação (NAPeN), Universidade Federal do ABC (UFABC)/Universidade de São Paulo (USP)/Universidade Cidade de São Paulo (UNICID)/Universidade Federal de Pernambuco (UFPE), Escola Bahiana de Medicina e Saúde Pública (EBMSP), Santo André, Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador, Bahia Brazil
| | - Clarice Tanaka
- Núcleo de Assistência e Pesquisa em Neuromodulação (NAPeN), Universidade Federal do ABC (UFABC)/Universidade de São Paulo (USP)/Universidade Cidade de São Paulo (UNICID)/Universidade Federal de Pernambuco (UFPE), Escola Bahiana de Medicina e Saúde Pública (EBMSP), Santo André, Brazil
- Laboratório de Investigações Médicas-54, Universidade de São Paulo, São Paulo, São Paulo Brazil
| | - Li Min Li
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Abrahão Fontes Baptista
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
- Núcleo de Assistência e Pesquisa em Neuromodulação (NAPeN), Universidade Federal do ABC (UFABC)/Universidade de São Paulo (USP)/Universidade Cidade de São Paulo (UNICID)/Universidade Federal de Pernambuco (UFPE), Escola Bahiana de Medicina e Saúde Pública (EBMSP), Santo André, Brazil
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador, Bahia Brazil
- Laboratório de Investigações Médicas-54, Universidade de São Paulo, São Paulo, São Paulo Brazil
| | - Alexandre Hideki Okano
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
- Núcleo de Assistência e Pesquisa em Neuromodulação (NAPeN), Universidade Federal do ABC (UFABC)/Universidade de São Paulo (USP)/Universidade Cidade de São Paulo (UNICID)/Universidade Federal de Pernambuco (UFPE), Escola Bahiana de Medicina e Saúde Pública (EBMSP), Santo André, Brazil
- Center of Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), Alameda da Universidade, 3 - Anchieta, Bloco Delta – Sala 257, São Bernardo do Campo, SP CEP 09606-070 Brazil
- Graduate Program in Physical Education. State University of Londrina, Londrina, Paraná, Brazil
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Bikson M, Esmaeilpour Z, Adair D, Kronberg G, Tyler WJ, Antal A, Datta A, Sabel BA, Nitsche MA, Loo C, Edwards D, Ekhtiari H, Knotkova H, Woods AJ, Hampstead BM, Badran BW, Peterchev AV. Transcranial electrical stimulation nomenclature. Brain Stimul 2019; 12:1349-1366. [PMID: 31358456 DOI: 10.1016/j.brs.2019.07.010] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 06/25/2019] [Accepted: 07/14/2019] [Indexed: 01/03/2023] Open
Abstract
Transcranial electrical stimulation (tES) aims to alter brain function non-invasively by applying current to electrodes on the scalp. Decades of research and technological advancement are associated with a growing diversity of tES methods and the associated nomenclature for describing these methods. Whether intended to produce a specific response so the brain can be studied or lead to a more enduring change in behavior (e.g. for treatment), the motivations for using tES have themselves influenced the evolution of nomenclature, leading to some scientific, clinical, and public confusion. This ambiguity arises from (i) the infinite parameter space available in designing tES methods of application and (ii) varied naming conventions based upon the intended effects and/or methods of application. Here, we compile a cohesive nomenclature for contemporary tES technologies that respects existing and historical norms, while incorporating insight and classifications based on state-of-the-art findings. We consolidate and clarify existing terminology conventions, but do not aim to create new nomenclature. The presented nomenclature aims to balance adopting broad definitions that encourage flexibility and innovation in research approaches, against classification specificity that minimizes ambiguity about protocols but can hinder progress. Constructive research around tES classification, such as transcranial direct current stimulation (tDCS), should allow some variations in protocol but also distinguish from approaches that bear so little resemblance that their safety and efficacy should not be compared directly. The proposed framework includes terms in contemporary use across peer-reviewed publications, including relatively new nomenclature introduced in the past decade, such as transcranial alternating current stimulation (tACS) and transcranial pulsed current stimulation (tPCS), as well as terms with long historical use such as electroconvulsive therapy (ECT). We also define commonly used terms-of-the-trade including electrode, lead, anode, and cathode, whose prior use, in varied contexts, can also be a source of confusion. This comprehensive clarification of nomenclature and associated preliminary proposals for standardized terminology can support the development of consensus on efficacy, safety, and regulatory standards.
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Affiliation(s)
- Marom Bikson
- Department of Biomedical Engineering, The City College of the City University of New York, New York, NY, USA.
| | - Zeinab Esmaeilpour
- Department of Biomedical Engineering, The City College of the City University of New York, New York, NY, USA.
| | - Devin Adair
- Department of Biomedical Engineering, The City College of the City University of New York, New York, NY, USA
| | - Greg Kronberg
- Department of Biomedical Engineering, The City College of the City University of New York, New York, NY, USA
| | - William J Tyler
- Arizona State University, School of Biological and Health Systems Engineering, Tempe, AZ, USA
| | - Andrea Antal
- Department of Clinical Neurophysiology, University Medical Center Goettingen, Goettingen, Germany; Institute of Medical Psychology, Medical Faculty, Otto-v.-Guericke University of Magdeburg, Magdeburg, Germany
| | | | - Bernhard A Sabel
- Institute of Medical Psychology, Medical Faculty, Otto-v.-Guericke University of Magdeburg, Magdeburg, Germany
| | - Michael A Nitsche
- Leibniz Research Centre for Working Environment ant Human Factors, Dept. Psychology and Neurosciences, Dortmund, Germany; University Medical Hospital Bergmannsheil, Dept. Neurology, Bochum, Germany
| | - Colleen Loo
- School of Psychiatry & Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Dylan Edwards
- Moss Rehabilitation Research Institute, Philadelphia, PA, USA; Edith Cowan University, Joondalup, Australia
| | | | - Helena Knotkova
- MJHS Institute for Innovation in Palliative Care, New York, NY, USA; Department of Family and Social Medicine, Albert Einstein College of Medicine, The Bronx, NY, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Benjamin M Hampstead
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Neuropsychology Section, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Bashar W Badran
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Angel V Peterchev
- Department of Psychiatry & Behavioral Sciences, Department of Biomedical Engineering, Department of Electrical & Computer Engineering, Department of Neurosurgery, Duke University, Durham, NC, USA
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6
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Meng J, He B. Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCI. Front Hum Neurosci 2019; 13:128. [PMID: 31057380 PMCID: PMC6481252 DOI: 10.3389/fnhum.2019.00128] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 03/28/2019] [Indexed: 11/16/2022] Open
Abstract
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternative communication channel between the brain and an external device. It is well acknowledged that BCI control is a skill and could be improved through practice and training. In this study, we explore the change of BCI behavioral performance as well as the electrophysiological properties across three training sessions in a pool of 42 human subjects. Our results show that the group average of BCI accuracy and the information transfer rate improved significantly in the third session compared to the first session; especially the significance reached in a smaller subset of a low BCI performance group (average accuracy <70%) as well. There was a significant difference of event-related desynchronization (ERD) lateralization for BCI control between the left- and right-hand imagination task in the last two sessions, but this significant difference was not revealed in the first training sessions. No significant change of R 2 value or event-related desynchronization and synchronization (ERD/ERS) for either channel C3 or channel C4, which were used for online control, was found across the training sessions. The change of ERD lateralization was also not significant across the training sessions. The present results indicate that BCI training could induce a change of behavioral performance and electrophysiological properties quickly, within just a few hours of training, distributed into three sessions. Multiple training sessions might especially be beneficial for the low BCI performers.
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Affiliation(s)
| | - Bin He
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
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7
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Chen ML, Fu D, Boger J, Jiang N. Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations. IEEE Trans Neural Syst Rehabil Eng 2019; 27:603-610. [PMID: 30872232 DOI: 10.1109/tnsre.2019.2890968] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The rapid increase in the number of older adults around the world is accelerating research in applications to support age-related conditions, such as brain-computer interface (BCI) applications for post-stroke neurorehabilitation. The signal processing algorithms for electroencephalogram (EEG) and other physiological signals that are currently used in BCI have been developed on data from much younger populations. It is unclear how age-related changes may affect the EEG signal and therefore the use of BCI by older adults. This research investigated the EEG response to vibro-tactile stimulation from 11 younger (21.7±2.76 years old) and 11 older (72.0±8.07 years old) subjects. The results showed that: 1) the spatial patterns of cortical activation in older subjects were significantly different from those of younger subjects, with markedly reduced lateralization; 2) there is a general power reduction of the EEG measured from older subjects. The average left vs. right BCI performance accuracy of older subjects was 66.4±5.70%, 15.9% lower than that of the younger subjects (82.3±12.4%) and statistically significantly different (t(10)= -3.57, p= 0.005). Future research should further investigate age-differences that may exist in electrophysiology and take these into consideration when developing applications that target the older population.
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Halder S, Leinfelder T, Schulz SM, Kübler A. Neural mechanisms of training an auditory event-related potential task in a brain-computer interface context. Hum Brain Mapp 2019; 40:2399-2412. [PMID: 30693612 DOI: 10.1002/hbm.24531] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 12/18/2018] [Accepted: 01/11/2019] [Indexed: 11/12/2022] Open
Abstract
Effective use of brain-computer interfaces (BCIs) typically requires training. Improved understanding of the neural mechanisms underlying BCI training will facilitate optimisation of BCIs. The current study examined the neural mechanisms related to training for electroencephalography (EEG)-based communication with an auditory event-related potential (ERP) BCI. Neural mechanisms of training in 10 healthy volunteers were assessed with functional magnetic resonance imaging (fMRI) during an auditory ERP-based BCI task before (t1) and after (t5) three ERP-BCI training sessions outside the fMRI scanner (t2, t3, and t4). Attended stimuli were contrasted with ignored stimuli in the first-level fMRI data analysis (t1 and t5); the training effect was verified using the EEG data (t2-t4); and brain activation was contrasted before and after training in the second-level fMRI data analysis (t1 vs. t5). Training increased the communication speed from 2.9 bits/min (t2) to 4 bits/min (t4). Strong activation was found in the putamen, supplementary motor area (SMA), and superior temporal gyrus (STG) associated with attention to the stimuli. Training led to decreased activation in the superior frontal gyrus and stronger haemodynamic rebound in the STG and supramarginal gyrus. The neural mechanisms of ERP-BCI training indicate improved stimulus perception and reduced mental workload. The ERP task used in the current study showed overlapping activations with a motor imagery based BCI task from a previous study on the neural mechanisms of BCI training in the SMA and putamen. This suggests commonalities between the neural mechanisms of training for both BCI paradigms.
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Affiliation(s)
- Sebastian Halder
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom.,Institute of Psychology, University of Würzburg, Würzburg, Germany.,Human-Computer Interaction, University of Würzburg, Würzburg, Germany.,Department of Molecular Medicine, University of Oslo, Oslo, Norway
| | | | - Stefan M Schulz
- Institute of Psychology, University of Würzburg, Würzburg, Germany.,Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University, Mainz, Germany
| | - Andrea Kübler
- Institute of Psychology, University of Würzburg, Würzburg, Germany
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Reed T, Cohen Kadosh R. Transcranial electrical stimulation (tES) mechanisms and its effects on cortical excitability and connectivity. J Inherit Metab Dis 2018; 41:10.1007/s10545-018-0181-4. [PMID: 30006770 PMCID: PMC6326965 DOI: 10.1007/s10545-018-0181-4] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 03/20/2018] [Accepted: 03/26/2018] [Indexed: 11/29/2022]
Abstract
In this review, we describe transcranial electrical stimulation (tES) techniques currently being used in neuroscientific research, including transcranial direct current (tDCS), alternating current (tACS) and random noise (tRNS) stimulation techniques. We explain how these techniques are used and summarise the proposed mechanisms of action for each technique. We continue by describing how each method has been used to alter endogenous neuronal oscillations and connectivity between brain regions, and we conclude by highlighting the varying effects of stimulation and discussing the future direction of these stimulation techniques in research.
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Affiliation(s)
- Thomas Reed
- Department of Experimental Psychology, University of Oxford, New Richards Building, 71-73 Old Road, Oxford, OX3 7LA, UK.
| | - Roi Cohen Kadosh
- Department of Experimental Psychology, University of Oxford, New Richards Building, 71-73 Old Road, Oxford, OX3 7LA, UK
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