Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes

Meyer, Marlene; Lamers, Didi; Kayhan, Ezgi; Hunnius, Sabine; Oostenveld, Robert

doi:10.1016/j.dcn.2021.101036

Cited by 58 publications

(43 citation statements)

References 35 publications

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“…Since this was an exploratory analysis, we targeted a broad time window, between 16 200 and 500 ms. For statistical assessment, we performed sample by sample paired t-tests between the mean visual-evoked ERPs at the Oz electrode between burst and no-burst. We used a cluster-based permutation test procedure (100,000 randomisations) to correct p-values (Maris & Oostenveld, 2007;Meyer et al, 2021). Fig.…”

Section: Erp Analyses Time-locked To Visual Stimulus and Responsementioning

confidence: 99%

Using occipital ⍺-bursts to modulate behaviour in real-time

Vigué‐Guix

Soto‐Faraco

2022

Preprint

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Spontaneous oscillatory neural activity can influence the processing of incoming sensory input and subsequent behavioural reactions. Spontaneous oscillatory activity mostly appears in stochastic bursts, but typical trial-averaged approaches fail to capture this. We aimed at relating oscillatory bursts in the alpha band (8-13 Hz) to behaviour directly, via an EEG-based brain-computer interface (BCI) that allowed for burst-triggered stimulus presentation in real-time in a visual detection task. According to alpha theories, we hypothesised that targets presented during alpha-bursts should lead to slower responses and higher miss rates, whereas targets presented in the absence of bursts should lead to faster responses and higher false alarm rates. Our findings support the role of bursts in alpha-oscillations in visual perception and exemplify how real-time BCI systems can be used as a test bench for brain-behavioural theories.

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Section: Erp Analyses Time-locked To Visual Stimulus and Responsementioning

confidence: 99%

Using occipital ⍺-bursts to modulate behaviour in real-time

Vigué‐Guix

Soto‐Faraco

2022

Preprint

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“…Permutation based statistics were used when number of statistical comparisons was deemed too high for correction using the Bonferroni‐Holm method and are common in analyzing multidimensional data sets such as EEG spectrograms (Meyer et al., 2021). When calculating the difference between two‐dimensional maps of probabilities of activity levels (Figures 3b and c, 7f, and 10c and f), the observed differences were compared with the differences from a series of 10,000 permutations.…”

Section: Methodsmentioning

confidence: 99%

Large‐scale waves of activity in the neonatal mouse brain in vivo occur almost exclusively during sleep cycles

Tabuena

Huynh

Metcalf

et al. 2022

Developmental Neurobiology

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Spontaneous electrical activity plays major roles in the development of cortical circuitry. This activity can occur highly localized regions or can propagate over the entire cortex. Both types of activity coexist during early development. To investigate how different forms of spontaneous activity might be temporally segregated, we used wide‐field trans‐cranial calcium imaging over an entire hemisphere in P1–P8 mouse pups. We found that spontaneous waves of activity that propagate to cover the majority of the cortex (large‐scale waves; LSWs) are generated at the end of the first postnatal week, along with several other forms of more localized activity. We further found that LSWs are segregated into sleep cycles. In contrast, cortical activity during wake states is more spatially restricted and the few large‐scale forms of activity that occur during wake can be distinguished from LSWs in sleep based on their initiation in the motor cortex and their correlation with body movements. This change in functional cortical circuitry to a state that is permissive for large‐scale activity may temporally segregate different forms of activity during critical stages when activity‐dependent circuit development occurs over many spatial scales. Our data also suggest that LSWs in early development may be a functional precursor to slow sleep waves in the adult, which play critical roles in memory consolidation and synaptic rescaling.

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“…For the statistical assessment of the α-power imbalance over time between attended left and attended right trials, we performed a cluster-based permutation test procedure (100,000 randomisations) for each participant and at the group-level (one-tailed permutation test) (Maris and Oostenveld 2007; Meyer et al 2021). We assessed that lateralisation indexes for attended-right and attended-left trials were significantly two different distributions by applying a one-tailed t-test (independent samples) with α-level = 0.05 for each participant.…”

Section: Methodsmentioning

confidence: 99%

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

Esparza-Iaizzo

Vigué‐Guix

Torralba

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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Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes

Cited by 58 publications

References 35 publications

Using occipital ⍺-bursts to modulate behaviour in real-time

Using occipital ⍺-bursts to modulate behaviour in real-time

Large‐scale waves of activity in the neonatal mouse brain in vivo occur almost exclusively during sleep cycles

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

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