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Ding K, Rakhshan M, Paredes-Acuña N, Cheng G, Thakor NV. Sensory integration for neuroprostheses: from functional benefits to neural correlates. Med Biol Eng Comput 2024:10.1007/s11517-024-03118-8. [PMID: 38760597 DOI: 10.1007/s11517-024-03118-8] [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: 04/21/2023] [Accepted: 04/19/2024] [Indexed: 05/19/2024]
Abstract
In the field of sensory neuroprostheses, one ultimate goal is for individuals to perceive artificial somatosensory information and use the prosthesis with high complexity that resembles an intact system. To this end, research has shown that stimulation-elicited somatosensory information improves prosthesis perception and task performance. While studies strive to achieve sensory integration, a crucial phenomenon that entails naturalistic interaction with the environment, this topic has not been commensurately reviewed. Therefore, here we present a perspective for understanding sensory integration in neuroprostheses. First, we review the engineering aspects and functional outcomes in sensory neuroprosthesis studies. In this context, we summarize studies that have suggested sensory integration. We focus on how they have used stimulation-elicited percepts to maximize and improve the reliability of somatosensory information. Next, we review studies that have suggested multisensory integration. These works have demonstrated that congruent and simultaneous multisensory inputs provided cognitive benefits such that an individual experiences a greater sense of authority over prosthesis movements (i.e., agency) and perceives the prosthesis as part of their own (i.e., ownership). Thereafter, we present the theoretical and neuroscience framework of sensory integration. We investigate how behavioral models and neural recordings have been applied in the context of sensory integration. Sensory integration models developed from intact-limb individuals have led the way to sensory neuroprosthesis studies to demonstrate multisensory integration. Neural recordings have been used to show how multisensory inputs are processed across cortical areas. Lastly, we discuss some ongoing research and challenges in achieving and understanding sensory integration in sensory neuroprostheses. Resolving these challenges would help to develop future strategies to improve the sensory feedback of a neuroprosthetic system.
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Affiliation(s)
- Keqin Ding
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
| | - Mohsen Rakhshan
- Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, 32816, USA
- Disability, Aging, and Technology Cluster, University of Central Florida, Orlando, FL, 32816, USA
| | - Natalia Paredes-Acuña
- Institute for Cognitive Systems, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Gordon Cheng
- Institute for Cognitive Systems, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Nitish V Thakor
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA
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Osborn LE, Venkatasubramanian R, Himmtann M, Moran CW, Pierce JM, Gajendiran P, Wormley JM, Ung RJ, Nguyen HH, Crego ACG, Fifer MS, Armiger RS. Evoking natural thermal perceptions using a thin-film thermoelectric device with high cooling power density and speed. Nat Biomed Eng 2023:10.1038/s41551-023-01070-w. [PMID: 37500749 DOI: 10.1038/s41551-023-01070-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/26/2023] [Indexed: 07/29/2023]
Abstract
Multimodal sensory feedback from upper-limb prostheses can increase their function and usability. Here we show that intuitive thermal perceptions during cold-object grasping with a prosthesis can be restored in a phantom hand through targeted nerve stimulation via a wearable thin-film thermoelectric device with high cooling power density and speed. We found that specific regions of the residual limb, when thermally stimulated, elicited thermal sensations in the phantom hand that remained stable beyond 48 weeks. We also found stimulation sites that selectively elicited sensations of temperature, touch or both, depending on whether the stimulation was thermal or mechanical. In closed-loop functional tasks involving the identification of cold objects by amputees and by non-amputee participants, and compared with traditional bulk thermoelectric devices, the wearable thin-film device reliably elicited cooling sensations that were up to 8 times faster and up to 3 times greater in intensity while using half the energy and 1/600th the mass of active thermoelectric material. Wearable thin-film thermoelectric devices may allow for the non-invasive restoration of thermal perceptions during touch.
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Affiliation(s)
- Luke E Osborn
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
| | | | - Meiyong Himmtann
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Courtney W Moran
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Jonathan M Pierce
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Priya Gajendiran
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Jared M Wormley
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Richard J Ung
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Harrison H Nguyen
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Adam C G Crego
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Matthew S Fifer
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Robert S Armiger
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
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Ding K, Chen Y, Bose R, Osborn LE, Dragomir A, Thakor NV. Sensory stimulation for upper limb amputations modulates adaptability of cortical large-scale systems and combination of somatosensory and visual inputs. Sci Rep 2022; 12:20467. [PMID: 36443387 PMCID: PMC9705529 DOI: 10.1038/s41598-022-24368-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 11/14/2022] [Indexed: 11/29/2022] Open
Abstract
Touch-like phantom limb sensations can be elicited through targeted transcutaneous electrical nerve stimulation (tTENS) in individuals with upper limb amputation. The corresponding impact of sensory stimulation on cortical activity remains an open question. Brain network research shows that sensorimotor cortical activity is supported by dynamic changes in functional connections between relevant brain regions. These groups of interconnected regions are functional modules whose architecture enables specialized function and related neural processing supporting individual task needs. Using electroencephalographic (EEG) signals to analyze modular functional connectivity, we investigated changes in the modular architecture of cortical large-scale systems when participants with upper limb amputations performed phantom hand movements before, during, and after they received tTENS. We discovered that tTENS substantially decreased the flexibility of the default mode network (DMN). Furthermore, we found increased interconnectivity (measured by a graph theoretic integration metric) between the DMN, the somatomotor network (SMN) and the visual network (VN) in the individual with extensive tTENS experience. While for individuals with less tTENS experience, we found increased integration between DMN and the attention network. Our results provide insights into how sensory stimulation promotes cortical processing of combined somatosensory and visual inputs and help develop future tools to evaluate sensory combination for individuals with amputations.
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Affiliation(s)
- Keqin Ding
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Yunru Chen
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Rohit Bose
- grid.21925.3d0000 0004 1936 9000Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA USA
| | - Luke E. Osborn
- grid.474430.00000 0004 0630 1170Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD USA
| | - Andrei Dragomir
- grid.4280.e0000 0001 2180 6431The N.1 Institute for Health, National University of Singapore, Singapore, Singapore ,grid.266436.30000 0004 1569 9707Department of Biomedical Engineering, University of Houston, Houston, TX USA
| | - Nitish V. Thakor
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD USA
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Philip BA, Valyear KF, Cirstea CM, Baune NA, Kaufman C, Frey SH. Changes in Primary Somatosensory Cortex Following Allogeneic Hand Transplantation or Autogenic Hand Replantation. FRONTIERS IN NEUROIMAGING 2022; 1:919694. [PMID: 36590253 PMCID: PMC9802660 DOI: 10.3389/fnimg.2022.919694] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 09/09/2022] [Indexed: 01/03/2023]
Abstract
Former amputees who undergo allogeneic hand transplantation or autogenic hand replantation (jointly, "hand restoration") present a unique opportunity to measure the range of post-deafferentation plastic changes in the nervous system, especially primary somatosensory cortex (S1). However, few such patients exist, and previous studies compared single cases to small groups of typical adults. Here, we studied 5 individuals (n = 8 sessions: a transplant with 2 sessions, a transplant with 3 sessions, and three replants with 1 session each). We used functional magnetic resonance imaging (fMRI) to measure S1 responsiveness to controlled pneumatic tactile stimulation delivered to each patient's left and right fingertips and lower face. These data were compared with responses acquired from typical adults (n = 29) and current unilateral amputees (n = 19). During stimulation of the affected hand, patients' affected S1 (contralateral to affected hand) responded to stimulation in a manner similar both to amputees and to typical adults. The presence of contralateral responses indicated grossly typical S1 function, but responses were universally at the low end of the range of typical variability. Patients' affected S1 showed substantial individual variability in responses to stimulation of the intact hand: while all patients fell within the range of typical adults, some patient sessions (4/8) had substantial ipsilateral responses similar to those exhibited by current amputees. Unlike hand restoration patients, current amputees exhibited substantial S1 reorganization compared to typical adults, including bilateral S1 responses to stimulation of the intact hand. In all three participant groups, we assessed tactile localization by measuring individuals' ability to identify the location of touch on the palm and fingers. Curiously, while transplant patients improved their tactile sensory localization over time, this was uncorrelated with changes in S1 responses to tactile stimuli. Overall, our results provide the first description of cortical responses to well-controlled tactile stimulation after hand restoration. Our case studies indicate that hand restoration patients show S1 function within the range of both typical adults and amputees, but with low-amplitude and individual-specific responses that indicate a wide range of potential cortical neurological changes following de-afferentation and re-afferentation.
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Affiliation(s)
- Benjamin A. Philip
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, United States
| | - Kenneth F. Valyear
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
- School of Human and Behavioural Sciences, Bangor University, Bangor, United Kingdom
| | - Carmen M. Cirstea
- Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, United States
| | - Nathan A. Baune
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, United States
| | - Christina Kaufman
- Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, KY, United States
| | - Scott H. Frey
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
- Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, United States
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Geng Y, Qin L, Li Y, Yu Z, Li L, Asogbon MG, Zhan Y, Yan N, Guo X, Li G. Identifying Oscillations under Multi-site Sensory Stimulation for High-level Peripheral Nerve Injured Patients:A Pilot Study. J Neural Eng 2022; 19. [PMID: 35580572 DOI: 10.1088/1741-2552/ac7079] [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: 12/19/2021] [Accepted: 05/17/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE For high-level peripheral nerve injured (PNI) patients with severe sensory dysfunction of upper extremities, identifying the multi-site tactile stimulation is of great importance to provide neurorehabilitation with sensory feedback. In this pilot study, we showed the feasibility of identifying multi-site and multi-intensity tactile stimulation in terms of electroencephalography (EEG). APPROACH Three high-level PNI patients and eight non-PNI participants were recruited in this study. Four different sites over the upper arm, forearm, thumb finger and little finger were randomly stimulated at two intensities (both sensory-level) based on the transcutaneous electrical nerve stimulation (TENS). Meanwhile, 64-channel EEG signals were recorded during the passive tactile sense stimulation on each side. MAIN RESULTS The spatial-spectral distribution of brain oscillations underlying multi-site sensory stimulation showed dominant power attenuation over the somatosensory and prefrontal cortices in both alpha-band (8-12 Hz) and beta-band (13-30 Hz). But there was no significant difference among different stimulation sites in terms of the averaged power spectral density over the region of interest (ROI). By further identifying different stimulation sites using temporal-spectral features, we found the classification accuracies were all above 89% for the affected arm of PNI patients, comparable to that from their intact side and that from the non-PNI group. When the stimulation site-intensity combinations were treated as eight separate classes, the classification accuracies were ranging from 88.89% to 99.30% for the affected side of PNI subjects, similar to that from their non-affected side and that from the non-PNI group. Other performance metrics, including Specificity, Precision, and F1-Score, also showed a sound identification performance for both PNI patients and non-PNI subjects. SIGNIFICANCE These results suggest that reliable brain oscillations could be evoked and identified well, even though induced tactile sense could not be discerned by the PNI patients. This study have implication for facilitating bidirectional neurorehabilitation systems with sensory feedback.
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Affiliation(s)
- Yanjuan Geng
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Liuni Qin
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Yongcheng Li
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Zhebin Yu
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Linling Li
- Shenzhen University, 1066 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, 518060, CHINA
| | - Mojisola Grace Asogbon
- Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Yang Zhan
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Nan Yan
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
| | - Xin Guo
- Hebei University of Technology, Hebei University of Technology, Tianjin 300130, China, Tianjin, Tianjin, 300401, CHINA
| | - Guanglin Li
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen 518055, China, Shenzhen, Guangdong, 518055, CHINA
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Osborn LE, Moran C, Dodd LD, Sutton E, Norena Acosta N, Wormley J, Pyles CO, Gordge KD, Nordstrom M, Butkus J, Forsberg JA, Pasquina P, Fifer MS, Armiger RS. Monitoring at-home prosthesis control improvements through real-time data logging. J Neural Eng 2022; 19. [PMID: 35523131 DOI: 10.1088/1741-2552/ac6d7b] [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: 11/15/2021] [Accepted: 05/06/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Validating the ability for advanced prostheses to improve function beyond the laboratory remains a critical step in enabling long-term benefits for prosthetic limb users. APPROACH A nine week take-home case study was completed with a single participant with upper limb amputation and osseointegration (OI) to better understand how an advanced prosthesis is used during daily activities. The participant was already an expert prosthesis user and used the Modular Prosthetic Limb (MPL) at home during the study. The MPL was controlled using wireless electromyography (EMG) pattern recognition-based movement decoding. Clinical assessments were performed before and after the take-home portion of the study. Data was recorded using an onboard data log in order to measure daily prosthesis usage, sensor data, and EMG data. MAIN RESULT The participant's continuous prosthesis usage steadily increased (p = 0.04, max = 5.5 hr) over time and over 30% of the total time was spent actively controlling the prosthesis. The duration of prosthesis usage after each pattern recognition training session also increased over time (p = 0.04), resulting in up to 5.4 hr of usage before retraining the movement decoding algorithm. Pattern recognition control accuracy improved (1.2% per week, p < 0.001) with a maximum number of 10 classes trained at once and the transitions between different degrees of freedom increased as the study progressed, indicating smooth and efficient control of the advanced prosthesis. Variability of decoding accuracy also decreased with prosthesis usage (p < 0.001) and 30% of the time was spent performing a prosthesis movement. During clinical evaluations, Box and Blocks and the Assessment of the Capacity for Myoelectric Control (ACMC) scores increased by 43% and 6.2%, respectively, demonstrating prosthesis functionality and the NASA Task Load Index (NASA-TLX) scores decreased, on average, by 25% across assessments, indicating reduced cognitive workload while using the MPL, over the nine week study. SIGNIFICANCE In this case study, we demonstrate that an onboard system to monitor prosthesis usage enables better understanding of how prostheses are incorporated into daily life. That knowledge can support the long-term goal of completely restoring independence and quality of life to individuals living with upper limb amputation.
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Affiliation(s)
- Luke E Osborn
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Courtney Moran
- Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Lauren D Dodd
- Henry M Jackson Foundation for the Advancement of Military Medicine, 6720A Rockledge Dr, Bethesda, Maryland, 20817, UNITED STATES
| | - Erin Sutton
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Nicolas Norena Acosta
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Jared Wormley
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Connor O Pyles
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Kelles D Gordge
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Michelle Nordstrom
- Department of Rehabilitation, Walter Reed National Military Medical Center, 4494 Palmer Rd N, Bethesda, 20889, UNITED STATES
| | - Josef Butkus
- Department of Rehabilitation, Walter Reed National Military Medical Center, 4494 Palmer Rd N, Bethesda, 20889, UNITED STATES
| | - Jonathan A Forsberg
- Department of Orthopaedic Surgery, Johns Hopkins Medicine, 1800 Orleans St, Baltimore, Maryland, 21287, UNITED STATES
| | - Paul Pasquina
- Department of Rehabilitation, Walter Reed National Military Medical Center, 4494 Palmer Rd N, Bethesda, Maryland, 20814, UNITED STATES
| | - Matthew S Fifer
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
| | - Robert S Armiger
- Research & Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, Maryland, 20723, UNITED STATES
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Jabban L, Dupan S, Zhang D, Ainsworth B, Nazarpour K, Metcalfe BW. Sensory Feedback for Upper-Limb Prostheses: Opportunities and Barriers. IEEE Trans Neural Syst Rehabil Eng 2022; 30:738-747. [PMID: 35290188 DOI: 10.1109/tnsre.2022.3159186] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The addition of sensory feedback to upper-limb prostheses has been shown to improve control, increase embodiment, and reduce phantom limb pain. However, most commercial prostheses do not incorporate sensory feedback due to several factors. This paper focuses on the major challenges of a lack of deep understanding of user needs, the unavailability of tailored, realistic outcome measures and the segregation between research on control and sensory feedback. The use of methods such as the Person-Based Approach and co-creation can improve the design and testing process. Stronger collaboration between researchers can integrate different prostheses research areas to accelerate the translation process.
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Jadidi AF, Stevenson AJT, Zarei AA, Jensen W, Lontis R. Effect of Modulated TENS on Corticospinal Excitability in Healthy Subjects. Neuroscience 2022; 485:53-64. [PMID: 35031397 DOI: 10.1016/j.neuroscience.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 11/29/2022]
Abstract
Conventional transcutaneous electrical nerve stimulation (TENS) has been reported to effectively alleviate chronic pain, including phantom limb pain (PLP). Recently, literature has focused on modulated TENS patterns, such as pulse width modulation (PWM) and burst modulation (BM), as alternatives to conventional, non-modulated (NM) sensory neurostimulation to increase the efficiency of rehabilitation. However, there is still limited knowledge of how these modulated TENS patterns affect corticospinal (CS) and motor cortex activity. Therefore, our aim was to first investigate the effect of modulated TENS patterns on CS activity and corticomotor map in healthy subjects. Motor evoked potentials (MEP) elicited by transcranial magnetic stimulation (TMS) were recorded from three muscles before and after the application of TENS interventions. Four different TENS patterns (PWM, BM, NM 40 Hz, and NM 100 Hz) were applied. The results revealed significant facilitation of CS excitability following the PWM intervention. We also found an increase in the volume of the motor cortical map following the application of the PWM and NM (40 Hz). Although PLP alleviation has been reported to be associated with an enhancement of corticospinal excitability, the efficiency of the PWM intervention to induce pain alleviation should be validated in a future clinical study in amputees with PLP.
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Affiliation(s)
- Armita Faghani Jadidi
- Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology, Aalborg University, Denmark.
| | | | - Ali Asghar Zarei
- Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology, Aalborg University, Denmark
| | - Winnie Jensen
- Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology, Aalborg University, Denmark
| | - Romulus Lontis
- Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology, Aalborg University, Denmark
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