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268 results for “neurofeedback”
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
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Data - The Benefits of Neurofeedback Training for Alpha Enhancement and Cognitive Performance - a Single-Blind, Sham-Feedback Study Using a Low-Prized EEG Device
<p>This data set includes the minimal data set, which was used to obtain the results in Naas, Rodrigues, Knirsch, & Sonderegger (2019, doi: http://dx.doi.org/10.1101/527598).</p>
Closed-loop modulation of remote hippocampal representations with neurofeedback
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Inducing representational change in the hippocampus through real-time neurofeedback
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Data from: Neurofeedback facilitation enhances post-stroke gait and balance recovery: a randomized trial
<p><strong>Objective:</strong> To test the hypothesis that supplementary motor area (SMA) facilitation with functional near-infrared spectroscopy mediated neurofeedback (fNIRS-NFB) augments post-stroke gait and balance recovery using the 3-meter-Timed Up-and-Go (TUG) test, we conducted this two-center, double-blind, randomized controlled trial involving 54 Japanese patients.</p> <p><strong>Methods:</strong> Patients with subcortical stroke-induced mild-to-moderate gait disturbance more than 12 weeks from onset, underwent 6 sessions of SMA neurofeedback facilitation during gait- and balance-related motor imagery using fNIRS-NFB. Participants were randomly allocated to intervention (REAL: 28 patients) or placebo (SHAM: 26 patients) group. In the REAL group, the fNIRS signal contained participants' cortical activation information. Primary outcome was TUG improvement, 4 weeks post intervention.</p> <p><strong>Results: </strong>The REAL group showed greater improvement in the TUG test (12.84 ± 15.07 s, 95% CI: 7.00-18.68) than the SHAM group (5.51± 7.64 s, 95% CI: 2.43 – 8.60; group difference 7.33 s, 95% CI: 0.83 – 13.83; p = 0.028), even after adjusting for covariates (group × time interaction; F1.23,61.69 = 4.50, p = 0.030, partial η2 = 0.083). Only the REAL group showed significantly increased imagery-related SMA activation and enhancement of resting-state connectivity between SMA and ventrolateral premotor area. Adverse effects associated with fNIRS-mediated neurofeedback intervention were absent.</p> <p><strong>Conclusion:</strong> SMA facilitation during motor imagery using fNIRS neurofeedback may augment post-stroke gait and balance recovery by modulating the SMA and its related network.</p> <p><strong>Classification of Evidence:</strong> This study provides Class III evidence that for patients with gait disturbance from subcortical stroke, SMA neurofeedback facilitation improves TUG time. (UMIN000010723 at UMIN-CTR http://www.umin.ac.jp/english/)</p>
Virtual reality bimodal neurofeedback paradigm for fMRI/EEG/MEG/fNIRS (video demo)
<p>To watch the video demo of the software, please download this file: <a href="https://zenodo.org/api/files/28e810fb-4f02-4301-ad77-a8323a81a313/VR_NF_OHBM_demo.mp4?versionId=1aaea91b-984d-4b66-9a61-78eedfba7112">VR_NF_OHBM_demo.mp4</a></p> <p> </p>
Data from P300-based Neurofeedback Training for Attention Enhancement with 4 EEG Electrodes
<p>The dataset contains EEG and behavioral data of 10 participants who completed 11 runs (i.e. copy-spelled 11 words) in a P300 speller task, as well as a random dot motion (RDM) task and questionnaires in a single experimental session. The data comes from a study that uses a modified version of the protocol described here:</p> <p>Noble SC, Woods E, Ward T, Ringwood JV. “Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial.” <em>JMIR Res Protoc</em> 2023, 12:e46135, doi: <a href="https://doi.org/10.2196/46135">10.2196/46135</a></p> <p>These are the differences to the protocol above:</p> <ul> <li>More but shorter words in the P300 speller (see below)</li> <li>Only 4 electrodes were used (Pz, POz, P7 and P8)</li> <li>Task difficulty adaptation is by iterative learning control (ILC) only</li> </ul> <p>Each participant folder contains:</p> <ul> <li>[xxx]-raw.[xxx] – unprocessed EEG signals from 4 electrodes for all 11 P300 speller runs in Openvibe (.ov) and Matlab (.mat) file formats, see details of the runs below</li> <li>classifier.cfg - LDA classifier weights</li> <li>log.txt - contains start and end time of the experiment, and performance in the P300 speller and RDM tasks</li> </ul> <p>The file “Questionnaire scores.csv” contains the responses to the questionnaire described in the experimental protocol and the NASA Task Load Index (TLX) for all participants.</p> <p>The .ov and .mat files contain data from the following runs:</p> <table> <tbody> <tr> <th>Filename</th> <th>Word to be copy-spelled</th> <th>Number of flashes per row and column</th> <th>Feedback given to participant</th> </tr> <tr> <td>calibration-signal1</td> <td>THE</td> <td>12</td> <td>no</td> </tr> <tr> <td>calibration-signal2</td> <td>QUICK</td> <td>12</td> <td>no</td> </tr> <tr> <td>calibration-signals</td> <td>Concatenation of calibration-signal1 and calibration-signal2</td> <td> </td> <td> </td> </tr> <tr> <td>eval</td> <td>DOG</td> <td>12</td> <td>yes</td> </tr> <tr> <td>training-run-1</td> <td>WIZARD</td> <td>10</td> <td>yes</td> </tr> <tr> <td>training-run-2</td> <td>HUMBLE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-3</td> <td>JOKERS</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-4</td> <td>UNLOCK</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-5</td> <td>THRIVE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-6</td> <td>JUNGLE</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-7</td> <td>SHADOW</td> <td>varying</td> <td>yes</td> </tr> <tr> <td>training-run-8</td> <td>FROZEN</td> <td>varying</td> <td>yes</td> </tr> </tbody> </table> <p> </p> <p>This research is supported by the Irish Research Council under project ID GOIPG/2020/692 and Science Foundation Ireland under grant number 12/RC/2289_P2.</p>
Pilot Feasibility Study of Neurofeedback for Attention Deficit Hyperactivity Disorder (ADHD)
ClinicalTrials.gov study NCT00886483. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Neurofeedback Impact on Veterans With mTBI
ClinicalTrials.gov study NCT04195685. IPD Sharing: NO. Countries: 1. Publications: 5.
Parent-Adolescent Training on Neurofeedback and Synchrony
ClinicalTrials.gov study NCT03929263. IPD Sharing: NO. Countries: 1. Publications: 1.
Double-Blind 2-Site Randomized Clinical Trial of Neurofeedback for ADHD
ClinicalTrials.gov study NCT02251743. IPD Sharing: NO. Countries: 1. Publications: 5.
Effect of Amygdala Neurofeedback on Depressive Symptoms and Processing Biases
ClinicalTrials.gov study NCT02079610. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Neurofeedback Effectiveness Trial in PTSD
ClinicalTrials.gov study NCT04654130. IPD Sharing: NO. Countries: 1. Publications: 4.
Neurofeedback Training For Older Adults
ClinicalTrials.gov study NCT05936697. IPD Sharing: NO. Countries: 1. Publications: 53.
Neurofeedback Training for Autistic Children
ClinicalTrials.gov study NCT07149974. IPD Sharing: NO. Countries: 1. Publications: 25.
Neurofeedback Intervention for Reading Deficits in Subacute Stroke
ClinicalTrials.gov study NCT04875936. IPD Sharing: YES. Countries: 1. Publications: 1.
Neurofeedback for Stroke Rehabilitation
ClinicalTrials.gov study NCT03775915. IPD Sharing: YES. Countries: 1. Publications: 1.
Effects of Amygdala Neurofeedback on Depressive Symptoms
ClinicalTrials.gov study NCT02709161. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
EEG-based Neurofeedback to Improve Emotion Regulation in Major Depressive Disorder: A Randomized Clinical Trial
ClinicalTrials.gov study NCT07041073. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Neurofeedback-enhanced Mindfulness Meditation in Traumatic Brain Injury
ClinicalTrials.gov study NCT02615535. IPD Sharing: YES. Countries: 1. Publications: 5.
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International Brain Laboratory public data
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OpenNeuro
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