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Nan W, Yang W, Gong A, Kadosh RC, Ros T, Fu Y, Wan F. Successful learning of alpha up-regulation through neurofeedback training modulates sustained attention. Neuropsychologia 2024; 195:108804. [PMID: 38242318 DOI: 10.1016/j.neuropsychologia.2024.108804] [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: 10/16/2023] [Revised: 12/29/2023] [Accepted: 01/16/2024] [Indexed: 01/21/2024]
Abstract
As a fundamental attention function, sustained attention plays a critical role in general cognitive abilities and is closely linked to EEG alpha oscillations. Neurofeedback training (NFT) of alpha activity on different aspects of attention has been studied previously. However, it remains unclear how NFT with up- or down-regulation directions modulates sustained attention. Here we employed a counterbalanced single-blind sham-controlled crossover design, in which healthy young adults underwent one NFT session of alpha up-regulation, one NFT session of alpha down-regulation, and one sham-control NFT session over the posterior area. The session order was counterbalanced with a 7-day interval between each session. After each NFT session, the participants completed a visual continuous temporal expectancy task (vCTET) to assess their sustained attention performance. The results showed that compared to sham-control NFT, successful learning of alpha up-regulation resulted in increased reaction time at the beginning of the attention task but a slower increase over vCTET blocks. On the other hand, successful learning of alpha down-regulation had no impact on attention performance compared to sham-control NFT. These findings suggest that successful learning of alpha up-regulation through NFT could impair initial attention performance but slow down visual attention deterioration over time, i.e., alpha enhancement by NFT stabilizing visual attention.
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Affiliation(s)
- Wenya Nan
- School of Psychology, Shanghai Normal University, Shanghai, China.
| | - Wenjie Yang
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Anmin Gong
- School of Information Engineering, Engineering University of People's Armed Police, Xi'an, China; School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | | | - Tomas Ros
- Departments of Neuroscience and Psychiatry, University of Geneva, Campus Biotech, Geneva, Switzerland
| | - Yunfa Fu
- School of Automation and Information Engineering, Kunming University of Science and Technology, Kunming, China.
| | - Feng Wan
- Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China
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Mani R, Adhia DB, Awatere S, Gray AR, Mathew J, Wilson LC, Still A, Jackson D, Hudson B, Zeidan F, Fillingim R, De Ridder D. Self-regulation training for people with knee osteoarthritis: a protocol for a feasibility randomised control trial (MiNT trial). FRONTIERS IN PAIN RESEARCH 2024; 4:1271839. [PMID: 38269396 PMCID: PMC10806808 DOI: 10.3389/fpain.2023.1271839] [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: 08/02/2023] [Accepted: 12/07/2023] [Indexed: 01/26/2024] Open
Abstract
Introduction Knee osteoarthritis (OA) is a chronic secondary musculoskeletal pain condition resulting in disability, reduced quality of life, and high societal costs. Pain associated with knee OA is linked to increased sensitivity in sensory, cognitive, and emotional areas of the brain. Self-regulation training targeting brain functioning related to pain experience could reduce pain and its associated disability. Self-regulatory treatments such as mindfulness meditation (MM) and electroencephalography neurofeedback (EEG-NF) training improve clinical outcomes in people with knee OA. A feasibility clinical trial can address factors that could inform the design of the full trial investigating the effectiveness of self-regulation training programmes in people with knee OA. This clinical trial will evaluate the feasibility, safety, acceptability, experience and perceptions of the self-regulatory training programmes. Methods The proposed feasibility trial is based on a double-blind (outcome assessor and investigators), three-arm (MM usual care, EEG-NF + usual care and usual care control group) randomised controlled parallel clinical trial. Participants with knee OA will be recruited from the community and healthcare practices. A research assistant (RA) will administer both interventions (20-min sessions, four sessions each week, and 12 sessions over three successive weeks). Feasibility measures (participant recruitment rate, adherence to interventions, retention rate), safety, and acceptability of interventions will be recorded. An RA blinded to the group allocation will record secondary outcomes at baseline, immediately post-intervention (4th week), and 3 months post-intervention. The quantitative outcome measures will be descriptively summarised. The qualitative interviews will evaluate the participants' experiences and perceptions regarding various aspects of the trial, which includes identifying the barriers and facilitators in participating in the trial, evaluating their opinions on the research procedures, such as their preferences for the study site, and determining the level of acceptability of the interventions as potential clinical treatments for managing knee OA. Māori participant perceptions of how assessment and training practices could be acceptable to a Māori worldview will be explored. The interviews will be audio-recorded and analysed thematically. Discussion This trial will provide evidence on the feasibility, safety, and acceptability of the MM and EEG-NF training in people with knee OA, thus informing the design of a full randomised clinical control trial.
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Affiliation(s)
- Ramakrishnan Mani
- Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin, New Zealand
| | - Divya Bharatkumar Adhia
- Department of Surgical Sciences, Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Sharon Awatere
- Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin, New Zealand
- The Health Boutique, Napier, New Zealand
| | | | - Jerin Mathew
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | | | - Amanda Still
- Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin, New Zealand
| | - David Jackson
- Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin, New Zealand
| | - Ben Hudson
- Department of General Practice, University of Otago, Christchurch, New Zealand
| | - Fadel Zeidan
- Department of Anesthesiology, School of Medicine, University of California, San Diego, CA, United States
| | - Roger Fillingim
- Pain Research and Intervention Center of Excellence, Clinical and Translational Science Institute, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - Dirk De Ridder
- Department of Surgical Sciences, Otago Medical School, University of Otago, Dunedin, New Zealand
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Wilhelm RA, Threadgill AH, Gable PA. Motor Preparation and Execution for Performance Difficulty: Centroparietal Beta Activation during the Effort Expenditure for Rewards Task as a Function of Motivation. Brain Sci 2021; 11:brainsci11111442. [PMID: 34827441 PMCID: PMC8615645 DOI: 10.3390/brainsci11111442] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 11/16/2022] Open
Abstract
Debate exists as to the effects of anxiety in performance-based studies. However, no studies have examined the influence of motivation both in preparation of a motor movement and during movement performance. The present study measured beta activation in preparation for and during execution of the effort expenditure for rewards task (EEfRT), a button-pressing task consisting of easy and hard trials. Results indicated that motor preparation (i.e., reduced beta activation) was greater in preparation for hard trials than for easy trials. Additionally, motor preparation decreased (i.e., beta activation increased) over the course of hard trial execution. These results suggest that motor preparation is enhanced prior to more challenging tasks but that motor preparation declines as participants become closer to completing their goal in each challenging trial. These results provide insight into how beta activation facilitates effort expenditure for motor tasks varying in difficulty and motivation. The impact of these results on models of anxiety and performance is discussed.
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Affiliation(s)
- Ricardo A. Wilhelm
- Department of Psychology, The University of Alabama, Tuscaloosa, AL 35487, USA;
| | - A. Hunter Threadgill
- Departments of Biomedical Sciences and Psychology, Florida State University, Tallahassee, FL 32306, USA;
| | - Philip A. Gable
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA
- Correspondence:
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Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG). Neural Plast 2021; 2021:8537437. [PMID: 34306064 PMCID: PMC8266462 DOI: 10.1155/2021/8537437] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 06/12/2021] [Accepted: 06/21/2021] [Indexed: 12/13/2022] Open
Abstract
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha oscillations. Multichannel electroencephalogram data were recorded from 27 subjects with chronic low back pain under the simple conditions of closing eyes or opening eyes. Spectral analyses were conducted to extract the alpha band responses, and the alpha powers were calculated for the two conditions, respectively. Normalized alpha power was calculated by subtracting the alpha power in the eyes-open condition from that in the eyes-closed condition. The correlation between the alpha power and the subjective pain intensity was evaluated in frontal, central, and posterior regions. The normalized alpha power in the central region was negatively correlated with the subjective pain intensity (R = -0.50, P = 0.01), with the strongest correlation occurring at the Cz electrode (R = -0.59, P = 0.04). The correlation analysis results demonstrated the possibility of using the differences of alpha spectral power between eyes-closed and eyes-open conditions as a measure for assessing chronic low back pain. The findings suggest that the normalized alpha power in the central region may be used as a measurable and quantitative indicator of chronic pain for clinical applications.
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Daibert-Nido M, Pyatova Y, Markowitz M, Taheri-Shirazi M, Markowitz SN. Post audio-visual biofeedback training visual functions and quality of life in paediatric idiopathic infantile nystagmus: A pilot study. Eur J Ophthalmol 2021; 31:3324-3331. [PMID: 33499653 PMCID: PMC8606806 DOI: 10.1177/1120672121991048] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Purpose: Biofeedback training (BT) was adapted to idiopathic infantile nystagmus syndrome (IINS) cases to enhance visual functions and quality of life (QoL). Methods: 10 patients (age 9 ± 3.2 years) treated with the audio-visual BT module of the MAIA microperimeter (Centervue, Padova, Italy) were assessed in two baseline visits and 1week post-BT (BT 80 min in total). The outcomes were distance and near binocular best corrected visual acuity (BBCVA), fixation stability, reading speed, contrast sensitivity, stereopsis and Children’s Visual Function Questionnaire. One-way repeated measured ANOVA and paired t-tests were used. Results: Distance BBCVA improved from 0.46 ± 0.21 and 0.43 ± 0.18 pre-BT to 0.33 ± 0.2 logMAR post-BT (F (2,27) = 13.75, p = 0.0002). Post-BT was better than baseline (p = 0.0001) and pre-BT (p = 0.001). Near BBCVA improved from 0.23 ± 0.09 and 0.21 ± 0.14 pre-BT to 0.04 ± 0.08 post-BT (F (2,27) = 22.12, p = 0.000014), post-BT was better than baseline (p = 0.0001) and pre-BT (p = 0.0006). Stereopsis improved from 283 ± 338″ to 39 ± 32.2″ (p = 0.04), contrast sensitivity from 0.26 ± 0.17 to 0.08 ± 0.12 log units (p = 0.01), and reading speed improved from 74.7 ± 51.2 wpm to 104.7 ± 53.6 wpm (p = 0.0006). Fixation stability improved from 33.6 ± 28.1 to 14.3 ± 10.1 sq. QoL increased from 23.8 ± 2.2 to 26.3 ± 2.3 units (p = 0.001). Conclusion: BT benefited all visual functions and QoL in this pilot study, heralding a new possibility for Low Vision Rehabilitation in IINS.
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Affiliation(s)
- Monica Daibert-Nido
- Low Vision Service, (University Health Network Hospitals), Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada
- Monica Daibert-Nido, Low Vision Service, (University Health Network Hospitals), Department of Ophthalmology and Vision Sciences, University of Toronto, 1225 Davenport Rd., Toronto, ON M6H2H1, Canada.
| | - Yulia Pyatova
- Low Vision Service, (University Health Network Hospitals), Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada
| | | | - Maryam Taheri-Shirazi
- Low Vision Service, (University Health Network Hospitals), Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada
| | - Samuel N Markowitz
- Low Vision Service, (University Health Network Hospitals), Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada
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Kozlova LI, Petrovskii ED, Verevkin EG, Mel'nikov ME, Savelov AA, Shtark MB. EEG Alpha-Rhythm-Related Changes in BOLD fMRI Signal in Neurofeedback Training. Bull Exp Biol Med 2019; 168:199-204. [PMID: 31782003 DOI: 10.1007/s10517-019-04674-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Indexed: 10/25/2022]
Abstract
Interaction of EEG and BOLD brain activity was studied in subjects during EEG-biofeedback training course (20 sessions). Healthy male subjects aged 20-35 underwent a training course of sound-reinforced upregulation of alpha- (20 participants) or beta-activity (9 participants). Pretraining, intermediate (after 10 sessions), and post-training fMRI-EEG recordings were conducted in resting state and during the participants' attempts to upregulate the power of target EEG activity. Regression analysis was carried out on three sessions in total; the main changes in BOLD signal connected with alpha rhythm power were related to the subjects who performed alpha training "good enough" (were able to increase alpha power at least at one stage). Maximum changes in BOLD response connected with alpha rhythm power were observed in the form of deactivation at T8 lead in the right hemisphere, and at F7 in the left hemisphere, and involved middle frontal gyrus, triangular part of inferior frontal gyrus, superior temporal gyrus, parietal lobule, and insula. The identified areas correspond to the executive control network (ECN) and anterior salience network (ASN).
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Affiliation(s)
- L I Kozlova
- Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia. .,Novosibirsk State University, Novosibirsk, Russia.
| | | | - E G Verevkin
- Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia
| | - M E Mel'nikov
- Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, Russia
| | - A A Savelov
- International Tomography Center, Novosibirsk, Russia
| | - M B Shtark
- Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, Russia
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Nagabushanam P, Thomas George S, Radha S. EEG signal classification using LSTM and improved neural network algorithms. Soft comput 2019. [DOI: 10.1007/s00500-019-04515-0] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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