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Disabling conditional inferences: An EEG study
Related publications (32)
Variability is the rule: Neurophysiology and contextual visual processing in schizophrenia
Dario Alejandro Gordillo Lopez
Traditionally, studies in schizophrenia research employ a single experimental paradigm. The results typically demonstrate a significant difference between patients and controls. Subsequent studies aim to describe the underlying abnormal mechanism at the ge ...
EPFL2024Global brain dynamics under visual entrainment
David Pascucci, Maëlan Quentin Menétrey
Cognitive and perceptual functions depend on the momentary dynamics of the brain. A typical approach to investigate these dynamics is through the so-called method of entrainment. In entrainment, a rhythmic stimulation (e.g., a periodic visual or auditory s ...
2022An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure
This study presents a new methodology for obtaining functional brain networks (FBNs) using multichannel scalp EEG recordings. The developed methodology extracts pair-wise phase synchrony between EEG electrodes to obtain FBNs at delta, theta, and alpha-band ...
ELSEVIER SCI LTD2021Electrophysiological correlates of visual backward masking in patients with major depressive disorder
Michael Herzog, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo, Janir Nuno Ramos Antunes Da Cruz
Depression and schizophrenia are two psychiatric diseases with high co-morbidity. For this reason, it is important to find sensitive endophenotypes, which may disentangle the two disorders. The Shine-Through paradigm, a visual backward masking task, is a p ...
2019Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI
Simultaneous EEG-fMRI allows multiparametric characterisation of brain function, in principle enabling a more complete understanding of brain responses; unfortunately the hostile MRI environment severely reduces EEG data quality. Simply eliminating data se ...
2019EEG signatures of schizophrenia: visual backward masking and microstates
Janir Nuno Ramos Antunes Da Cruz
Schizophrenia is a complex and devastating mental disorder that influences how one behaves, feels, and thinks. It affects a little less than 1 % of the world population and it is understood to be partly genetically mediated. Several genetic risk factors of ...
EPFL2019"Do you feel in control?": Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments
Louis Philippe Albert, Camille Marie Jeunet
While the Sense of Agency (SoA) has so far been predominantly characterised in VR as a component of the Sense of Embodiment, other communities (e.g., in psychology or neurosciences) have investigated the SoA from a different perspective proposing complemen ...
2018A Multifaceted Approach to Covert Attention Brain-Computer Interfaces
Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive
technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial
neglect has been proposed on the basis of covert visuospatial atte ...
EPFL2018Visual backward masking in siblings of schizophrenia patients: evidence for a compensation mechanism
Michael Herzog, Maya Roinishvili, Patricia Figueiredo
Visual backward masking (VBM) is a very sensitive endophenotype of schizophrenia. Masking deficits are highly correlated with reduced EEG amplitudes. In VBM, a target stimulus is followed by a mask, which decreases performance on the target. Here, we inves ...
2017An EEG-based brain-computer interface for gait training
José del Rocio Millán Ruiz, Kyuhwa Lee, Dong Liu
This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the ...
2017