Matteo Lucian Vinao-Carl
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Matteo Lucian Vinao-Carl has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Nir Grossman
Department of Brain Sciences, Imperial College London, London, UK
2 shared publications A. Hampshire
Department of Brain Sciences, Imperial College London, London, UK
1 shared publication- Adam Hampshire
Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London , London SE5 9RS
1 shared publication D. Sharp
Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK; UK Dementia Research Institute, Care Research and Technology Centre (UK DRI-CRT), Imperial College London, London, UK
1 shared publication- David James Sharp
Department of Brain Sciences Imperial College London London UK
1 shared publication E. Rhodes
Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK
1 shared publication
Latest Publications
- Open Access
- 9 December 2023
- Published by Elsevier in NeuroImage
- Vol. 285, 120477
Just a phase? Causal probing reveals spurious phasic dependence of sustained attention
- 9 December 2023
- Published by Elsevier in NeuroImage
- Vol. 285, 120477
Open AccessJust a phase? Causal probing reveals spurious phasic dependence of sustained attention
- Open Access
Just a phase? Causal probing reveals spurious phasic dependence of sensory perception
For over a decade, electrophysiological studies have reported correlations between sensory perception and the phase of spontaneous pre-stimulus brain oscillations. To date, these findings have been interpreted as evidence that the brain uses neural oscillations to sample and predict upcoming stimuli. Yet, evidence from simulations have shown that analysis artefacts could also lead to spurious pre-stimulus oscillations that appear to predict future brain responses. To address this discrepancy, we conducted an experiment in which visual stimuli were presented timed to specific phases of spontaneous alpha and theta oscillations. This allowed us to causally probe the role of ongoing neural activity in visual processing independent of the stimulus-evoked dynamics. Our findings did not support a causal link between spontaneous alpha / theta rhythms and behaviour. However, spurious correlations between theta phase and behaviour emerged offline using gold-standard acausal time-frequency analyses. These findings demonstrate that care should be taken when inferring causal relationships between neural activity and behaviour using acausal analyses. HIGHLIGHTS: We causally probed the role of spontaneous EEG rhythms in visual attention via phase-locking. Theta phase predicted behaviour offline, but cues presented in real-time with theta had no effect on behaviour. Spurious theta rhythmic sampling is an artefact of the evoked potential and acausal filtering. ecHT accurately computes the phase in real-time and mitigates erroneous phase-behaviour correlations.
Open AccessJust a phase? Causal probing reveals spurious phasic dependence of sensory perception
For over a decade, electrophysiological studies have reported correlations between sensory perception and the phase of spontaneous pre-stimulus brain oscillations. To date, these findings have been interpreted as evidence that the brain uses neural oscillations to sample and predict upcoming stimuli. Yet, evidence from simulations have shown that analysis artefacts could also lead to spurious pre-stimulus oscillations that appear to predict future brain responses. To address this discrepancy, we conducted an experiment in which visual stimuli were presented timed to specific phases of spontaneous alpha and theta oscillations. This allowed us to causally probe the role of ongoing neural activity in visual processing independent of the stimulus-evoked dynamics. Our findings did not support a causal link between spontaneous alpha / theta rhythms and behaviour. However, spurious correlations between theta phase and behaviour emerged offline using gold-standard acausal time-frequency analyses. These findings demonstrate that care should be taken when inferring causal relationships between neural activity and behaviour using acausal analyses. HIGHLIGHTS: We causally probed the role of spontaneous EEG rhythms in visual attention via phase-locking. Theta phase predicted behaviour offline, but cues presented in real-time with theta had no effect on behaviour. Spurious theta rhythmic sampling is an artefact of the evoked potential and acausal filtering. ecHT accurately computes the phase in real-time and mitigates erroneous phase-behaviour correlations.