Publications associées (16)

20-years work investigating the shine-through paradigm in the schizophrenia spectrum: what is next?

Michael Herzog, Simona Adele Garobbio, Maya Roinishvili

In the past 20 years, our laboratory has proved the shine-through paradigm to be a very sensitive endophenotype for schizophrenia. The shine-through paradigm is a visual backward masking task, where the target is a vertical vernier followed by a 25-element ...
2023

Electrophysiological correlates of visual backward masking in patients with bipolar disorder

Michael Herzog, Simona Adele Garobbio, Maya Roinishvili, Ophélie Gladys Favrod

In visual backward masking (VBM), a target is followed by a mask that decreases target discriminability. Schizophrenia patients (SZ) show strong and reproducible masking impairments, which are associated with reduced EEG amplitudes. Patients with bipolar d ...
2021

Electrophysiological correlates of visual backward masking in the schizophrenia continuum

Ophélie Gladys Favrod

In visual backward masking (VBM), a target is followed by a mask. Over the past decade, a VBM task, called the Shine-Through paradigm (ST), has been shown to be a very sensitive endophenotype of schizophrenia. In the present thesis, the electrophysiologica ...
EPFL2019

Electrophysiological 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 ...
2019

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.