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Illman MJ, Laaksonen K, Jousmäki V, Forss N, Piitulainen H. Reproducibility of Rolandic beta rhythm modulation in MEG and EEG. J Neurophysiol 2022; 127:559-570. [PMID: 35044809 PMCID: PMC8858683 DOI: 10.1152/jn.00267.2021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
The Rolandic beta rhythm, at ∼20 Hz, is generated in the somatosensory and motor cortices and is modulated by motor activity and sensory stimuli, causing a short lasting suppression that is followed by a rebound of the beta rhythm. The rebound reflects inhibitory changes in the primary sensorimotor (SMI) cortex, and thus it has been used as a biomarker to follow the recovery of patients with acute stroke. The longitudinal stability of beta rhythm modulation is a prerequisite for its use in long-term follow-ups. We quantified the reproducibility of beta rhythm modulation in healthy subjects in a 1-year-longitudinal study both for MEG and EEG at T0, 1 month (T1-month, n = 8) and 1 year (T1-year, n = 19). The beta rhythm (13–25 Hz) was modulated by fixed tactile and proprioceptive stimulations of the index fingers. The relative peak strengths of beta suppression and rebound did not differ significantly between the sessions, and intersession reproducibility was good or excellent according to intraclass correlation-coefficient values (0.70–0.96) both in MEG and EEG. Our results indicate that the beta rhythm modulation to tactile and proprioceptive stimulation is well reproducible within 1 year. These results support the use of beta modulation as a biomarker in long-term follow-up studies, e.g., to quantify the functional state of the SMI cortex during rehabilitation and drug interventions in various neurological impairments. NEW & NOTEWORTHY The present study demonstrates that beta rhythm modulation is highly reproducible in a group of healthy subjects within a year. Hence, it can be reliably used as a biomarker in longitudinal follow-up studies in different neurological patient groups to reflect changes in the functional state of the sensorimotor cortex.
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Affiliation(s)
- Mia Johanna Illman
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Espoo, Finland.,Aalto NeuroImaging, Aalto University School of Science, Aalto, Espoo, Finland
| | - Kristina Laaksonen
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Espoo, Finland.,Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland
| | - Veikko Jousmäki
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Espoo, Finland.,Aalto NeuroImaging, Aalto University School of Science, Aalto, Espoo, Finland
| | - Nina Forss
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Espoo, Finland.,Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland
| | - Harri Piitulainen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Espoo, Finland
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Kim HS, Kim KB, Lee JH, Jung JJ, Kim YJ, Kim SP, Choi MH, Yi JH, Chung SC. Mid-Air Tactile Sensations Evoked by Laser-Induced Plasma: A Neurophysiological Study. Front Neurosci 2021; 15:733423. [PMID: 34658771 PMCID: PMC8517193 DOI: 10.3389/fnins.2021.733423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/06/2021] [Indexed: 11/22/2022] Open
Abstract
This study demonstrates the feasibility of a mid-air means of haptic stimulation at a long distance using the plasma effect induced by laser. We hypothesize that the stress wave generated by laser-induced plasma in the air can propagate through the air to reach the nearby human skin and evoke tactile sensation. To validate this hypothesis, we investigated somatosensory responses in the human brain to laser plasma stimuli by analyzing electroencephalography (EEG) in 14 participants. Three types of stimuli were provided to the index finger: a plasma stimulus induced from the laser, a mechanical stimulus transferred through Styrofoam stick, and a sham stimulus providing only the sound of the plasma and mechanical stimuli at the same time. The event-related desynchronization/synchronization (ERD/S) of sensorimotor rhythms (SMRs) in EEG was analyzed. Every participant verbally reported that they could feel a soft tap on the finger in response to the laser stimulus, but not to the sham stimulus. The spectrogram of EEG evoked by laser stimulation was similar to that evoked by mechanical stimulation; alpha ERD and beta ERS were present over the sensorimotor area in response to laser as well as mechanical stimuli. A decoding analysis revealed that classification error increased when discriminating ERD/S patterns between laser and mechanical stimuli, compared to the case of discriminating between laser and sham, or mechanical and sham stimuli. Our neurophysiological results confirm that tactile sensation can be evoked by the plasma effect induced by laser in the air, which may provide a mid-air haptic stimulation method.
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Affiliation(s)
- Hyung-Sik Kim
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Kyu Beom Kim
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Je-Hyeop Lee
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Jin-Ju Jung
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Ye-Jin Kim
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Sung-Phil Kim
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Mi-Hyun Choi
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Jeong-Han Yi
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
| | - Soon-Cheol Chung
- Department of Biomedical Engineering, BK21 Plus Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science and Technology, Konkuk University, Chungju-si, South Korea
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