Rhythms in cognition: The evidence revisited

Keitel, Christian; Ruzzoli, Manuela; Dugué, Laura; Busch, Niko A.; Benwell, Christopher S. Y.

doi:10.1111/ejn.15740

“…In contrast to our initial hypothesis based on these findings, we did not find any significant accuracy modulation after button press in our pooled data. This result adds to other recent reports of inconclusive and null findings (Morrow and Samaha, 2021; van der Werf et al, 2021; Vigué-Guix et al, 2020) and it is in line with the general revision happening in the field (Keitel et al, 2022). However, this result does not question the validity of the studies implementing similar paradigms (Benedetto et al, 2016; Nakayama and Motoyoshi, 2019; Zhang et al, 2019), because of differences in the task design.…”

Section: Discussionsupporting

confidence: 91%

Performance modulations phase-locked to action depend on internal state

Tosato

¹

,

Rohenkohl

²

2022

Preprint

1

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Several studies have probed perceptual performance at different times after a self-paced motor action and found frequency-specific modulations of perceptual performance phase-locked to the action. Such action-related modulation has been reported for various frequencies and modulation strengths. In an attempt to establish a basic effect at the population level, we had a relatively large number of participants (n=50) perform a self-paced button press followed by a detection task at threshold, and we applied both fixed- and random-effects tests. The combined data of all trials and participants surprisingly did not show any significant action-related modulation. However, based on previous studies, we explored the possibility that such modulation depends on the participant's internal state. Indeed, when we split trials based on performance in neighboring trials, then trials in periods of low performance showed an action-related modulation at approximately 17 Hz. When we split trials based on the performance in the preceding trial, we found that trials following a ''miss'' showed an action-related modulation at approximately 17 Hz. Finally, when we split participants based on their false-alarm rate, we found that participants with no false alarms showed an action-related modulation at approximately 17 Hz. All these effects were significant in random-effects tests, supporting an inference on the population. Together, these findings indicate that action-related modulations are not always detectable. However, the results suggest that specific internal states such as lower attentional engagement and/or higher decision criterion are characterized by a modulation in the beta-frequency range.

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“…Our results of the increased contralateral synchronisation within the FPN replicate the work of Sauseng et al (2005) and validate our methodology and analysis pipeline (e.g., time-frequency analysis, synchronisation metric), setting the ground for the intended proof of concept test regarding transference to BCI. However, lateralised fronto-parietal connectivity patterns in attentional and perceptual disposition remain challenged in the literature together with the role of α power/phase (Ruzzoli, Torralba et al 2019; van Diepen et al 2019; Antonov et al 2020; Keitel et al, 2022). Lobier et al (2018) found that α-synchronisation was associated with visuospatial attention but revealed distinct lateralisation patterns regarding the visual system and top-down attentional networks.…”

Section: Discussionmentioning

confidence: 99%

Long-range alpha-synchronisation as control signal for BCI: A feasibility study

Esparza-Iaizzo

¹

,

Vigué‐Guix

²

,

Torralba

³

et al. 2022

Preprint

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Shifts in spatial attention are associated with variations in alpha-band (α, 8–14 Hz) activity, specifically in inter-hemispheric imbalance. The underlying mechanism is attributed to local α-synchronisation, which regulates local inhibition of neural excitability, as well as fronto-parietal synchronisation reflecting long-range communication. The direction-specific nature of this neural correlate brings forward its potential as a control signal in brain-computer interfaces (BCI). In the present study we explored whether long-range α-synchronisation presents lateralised patterns dependent on voluntary attention orienting, and whether these patterns can be picked up at single-trial level to provide a control signal for active BCI. We collected electroencephalography (EEG) data from a cohort of healthy adults (n = 10) while performing a covert visuospatial attention (CVSA) task. The data show lateralised patterns of α-band phase coupling between frontal and parieto-occipital regions after target presentation, replicating previous findings. This pattern, however, was not evident during the cue-target orienting interval, the ideal time window for BCI. Furthermore, decoding the direction of attention trial-by-trial from cue-locked synchronisation with support vector machine (SVM) was at chance level. The present findings suggest EEG may not be capable of detecting long-range α-synchronisation in attentional orienting on a single-trial basis, and, thus, highlight the limitations of this metric as a reliable signal for BCI control.

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“…Our results of the increased contralateral synchronisation within the FPN replicate the work of Sauseng et al (2005) and validate our methodology and analysis pipeline (e.g., time-frequency analysis, synchronisation metric), setting the ground for the intended proof of concept test regarding transference to BCI. However, lateralised fronto-parietal connectivity patterns in attentional and perceptual disposition remain challenged in the literature together with the role of ⍺ power/phase (Ruzzoli, Torralba et al 2019;van Diepen et al 2019;Antonov et al 2020;Keitel et al, 2022). Lobier et al (2018) found that ⍺-synchronisation was associated with visuospatial attention but revealed distinct lateralisation patterns regarding the visual system and top-down attentional networks.…”

Section: Fronto-parietal Network Synchronisation Characterises Visuos...mentioning

confidence: 99%

Long-Range α-Synchronization as Control Signal for BCI: A Feasibility Study

Esparza-Iaizzo

¹

,

Vigué‐Guix

²

,

Ruzzoli

³

et al. 2023

eNeuro

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Shifts in spatial attention are associated with variations in alpha-band (α, 8–14 Hz) activity, specifically in inter-hemispheric imbalance. The underlying mechanism is attributed to local α-synchronisation, which regulates local inhibition of neural excitability, and fronto-parietal synchronisation reflecting long-range communication. The direction-specific nature of this neural correlate brings forward its potential as a control signal in brain-computer interfaces (BCI). In the present study, we explored whether long-range α-synchronisation presents lateralised patterns dependent on voluntary attention orienting and whether these neural patterns can be picked up at a single-trial level to provide a control signal for active BCI. We collected electroencephalography (EEG) data from a cohort of healthy adults (n = 10) while performing a covert visuospatial attention (CVSA) task. The data shows a lateralised pattern of α-band phase coupling between frontal and parieto-occipital regions after target presentation, replicating previous findings. This pattern, however, was not evident during the cue-to-target orienting interval, the ideal time window for BCI. Furthermore, decoding the direction of attention trial-by-trial from cue-locked synchronisation with support vector machines (SVM) was at chance-level. The present findings suggest EEG may not be capable of detecting long-range α-synchronisation in attentional orienting on a single-trial basis and, thus, highlight the limitations of this metric as a reliable signal for BCI control.SIGNIFICANCE STATEMENTCognitive neuroscience advances should ideally have a real-world impact, with an obvious avenue for transference being BCI applications. The hope is to faithfully translate user-generated brain endogenous states into control signals to actuate devices. A paramount challenge for transfer is to move from group-level, multi-trial average approaches to single-trial level. Here, we evaluated the feasibility of single-trial estimation of phase synchrony across distant brain regions. Although many studies link attention to long-range synchrony modulation, this metric has never been used to control BCI. We present a first attempt of a synchrony-based BCI that, albeit unsuccessful, should help break new ground to map endogenous attention shifts to real-time control of brain-computer actuated systems.

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Rhythms in cognition: The evidence revisited

Cited by 59 publications

References 199 publications

Performance modulations phase-locked to action depend on internal state

Performance modulations phase-locked to action depend on internal state

Long-range alpha-synchronisation as control signal for BCI: A feasibility study

Long-Range α-Synchronization as Control Signal for BCI: A Feasibility Study

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