Abstract
Abstract
Objective. Feedback latency was shown to be a critical parameter in a range of applications that imply learning. The therapeutic effects of neurofeedback (NFB) remain controversial. We hypothesized that often encountered unreliable results of NFB intervention could be associated with large feedback latency values that are often uncontrolled and may preclude the efficient learning. Approach. We engaged our subjects into a parietal alpha power unpregulating paradigm facilitated by visual NFB based on the individually extracted envelope of the alpha-rhythm at P4 electrode. NFB was displayed either as soon as electroencephalographic (EEG) envelope was processed, or with an extra 250 or 500 ms delay. The feedback training consisted of 15 two-minute long blocks interleaved with 15 s pauses. We have also recorded 2 min long baselines immediately before and after the training. Main results. The time course of NFB-induced changes in the alpha rhythm power clearly depended on NFB latency, as shown with the adaptive Neyman test. NFB had a strong effect on the alpha-spindle incidence rate, but not on their duration or amplitude. The sustained changes in alpha activity measured after the completion of NFB training were negatively correlated to latency, with the maximum change for the shortest tested latency and no change for the longest. Significance. Here we for the first time show that visual NFB of parietal EEG alpha-activity is efficient only when delivered to human subjects at short latency, which guarantees that NFB arrives when an alpha spindle is still ongoing. Such a considerable effect of NFB latency on the alpha-activity temporal structure could explain some of the previous inconsistent results, where latency was neither controlled nor documented. Clinical practitioners and manufacturers of NFB equipment should add latency to their specifications while enabling latency monitoring and supporting short-latency operations.
Funder
Ministry of Education and Science of the Russian Federation
Subject
Cellular and Molecular Neuroscience,Biomedical Engineering
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Parameterized Cortical Power Spectra as a Novel Neural Feature for Real Time BCI;2024 12th International Winter Conference on Brain-Computer Interface (BCI);2024-02-26
2. Two common issues in synchronized multimodal recordings with EEG: Jitter and latency;Neuroscience Research;2023-12
3. Remote neurocognitive interventions for attention-deficit/hyperactivity disorder – Opportunities and challenges;Progress in Neuro-Psychopharmacology and Biological Psychiatry;2023-12
4. A Challenge for Bringing a BCI Closer to Motor Control: The “Interface Uncanny Valley” Hypothesis;2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB);2023-09-28
5. Hardware Powered Ultra Low Latency (HarPULL) Brain-State Dependent TMS Technology;2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB);2023-09-28