Estimation of phase in EEG rhythms for real-time applications

McIntosh, James R.; Sajda, Paul

doi:10.1088/1741-2552/ab8683

Cited by 22 publications

(18 citation statements)

References 55 publications

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“…Such a low latency would enhance the sense of agency [14] and harness the power of automatic learning [30] by directly and specifically interacting with brain-state transitions. To achieve this desired latency decrease, more efficient signal processing pipelines are needed that use optimized hardware-software communication protocols, as well as more sophisticated signal processing pipelines for the extraction of oscillation parameters from brain activity [56,34,52].…”

Section: Discussionmentioning

confidence: 99%

Short-delay neurofeedback facilitates training of the parietal alpha rhythm

et al. 2020

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The therapeutic effects of neurofeedback (NFB) remain controversial. Here we show that visual NFB of parietal electroencephalographic (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. NFB was displayed either as soon as EEG envelope was processed, or with an extra 250 or 500-ms delay. The time course of NFB-induced changes in the alpha rhythm 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. 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..

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Section: Discussionmentioning

confidence: 99%

Short-delay neurofeedback facilitates training of the parietal alpha rhythm

et al. 2020

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“…Machine learning has been used to estimate the phase of oscillations in the brain ( McIntosh and Sajda 2020 ). Timing of spikes within a seizure may be thought of as phase information that may also be analyzed via machine learning.…”

Section: Discussionmentioning

confidence: 99%

Variability of seizure-like activity in an in vitro model of epilepsy depends on the electrical recording method

Ghiasvand

Dussourd

Liu

et al. 2020

Heliyon

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Background Hippocampal and cortical slice-based models are widely used to study seizures and epilepsy. Seizure detection and quantification are essential components for studying mechanisms of epilepsy and assessing therapeutic interventions. To obtain meaningful signals and maximize experimental throughput, variability should be minimized. Some electrical recording methods require insertion of an electrode into neuronal tissue, change in slice chemical microenvironment, and transients in temperature and pH. These perturbations can cause acute and long-term alterations of the neuronal network which may be reflected in the variability of the recorded signal. New method In this study we investigated the effect of experimental perturbations in three local field potential (LFP) recording methods including substrate micro-wires (s-MWs), multiple electrode arrays (MEAs), and inserted micro wire electrodes (i-MW). These methods enabled us to isolate effects of different perturbations. We used organotypic hippocampal slices (OHCs) as an in-vitro model of posttraumatic epilepsy. To investigate the effect of the disturbances caused by the recording method on the paroxysmal events, we introduced jitter analysis, which is sensitive to small differences in the seizure spike timing. Results Medium replacement can introduce long-lasting perturbations. Electrode insertion increased variability on a shorter time scale. OHCs also underwent spontaneous state transitions characterized by transient increases in variability. Comparison with existing methods This new method of seizure waveform analysis allows for more sensitive assessment of variability of ictal events than simply measuring seizure frequency and duration. Conclusion We demonstrated that some of the variability in OHC recordings are due to experimental perturbations while some are spontaneous and independent of recording method.

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Section: Discussionmentioning

confidence: 99%

Short-Delay Neurofeedback Facilitates Training of the Parietal Alpha Rhythm

Belinskaia

Smetanin

Lebedev

et al. 2020

Preprint

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The therapeutic effects of neurofeedback (NFB) remain controversial. Here we show that NFB latency affects the ability of subjects to increase their parietal electroencephalographic alpha activity. Visual NFB was delivered either as soon as EEG was processed, or with a 250 or 500-ms added delay. After the training, a sustained increase in alpha average magnitude was observed only for the shortest latency tested. During the NFB sessions, learning profiles varied with latency, as shown with the adaptive Neyman test. The steepest growth of alpha magnitude was observed also for the shortest latency. For all latencies, NFB affected only the alpha spindle occurrence rate, not their duration or amplitude. The effectiveness of NFB only at the short-latency could explain the failures of some of the previous studies, where this parameter was neither controlled nor documented. Clinical practitioners and manufacturers of NFB equipment should include latency in their specifications, and enable short-latency operations.

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Estimation of phase in EEG rhythms for real-time applications

Cited by 22 publications

References 55 publications

Short-delay neurofeedback facilitates training of the parietal alpha rhythm

Short-delay neurofeedback facilitates training of the parietal alpha rhythm

Variability of seizure-like activity in an in vitro model of epilepsy depends on the electrical recording method

Short-Delay Neurofeedback Facilitates Training of the Parietal Alpha Rhythm

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