Publications related to Dysthymia

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

Markers of limbic system damage following SARS-CoV-2 infection

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Idris Guessous, Alexandre Cionca

Alterations of the limbic system may be present in the chronic phase of SARS-CoV-2 infection. Our aim was to study the long-term impact of this disease on limbic system-related behaviour and its associated brain functional connectivity, according to the se ...

OXFORD UNIV PRESS2023

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Thuy Anh Khoa Nguyen, Katrin Petermann, Simona Leserri

Treatment-resistant depression is a severe form of major depressive disorder and deep brain stimulation is currently an investigational treatment. The stimulation's therapeutic effect may be explained through the functional and structural connectivities be ...

SPRINGER HEIDELBERG2023

Glucocorticoid-based pharmacotherapies preventing PTSD

Maria del Carmen Sandi Perez, Silvia Monari

Posttraumatic stress disorder (PTSD) is a highly disabling psychiatric condition that may arise after exposure to acute and severe trauma. It is a highly prevalent mental disorder worldwide, and the current treatment options for these patients remain limit ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Embedded figures in schizophrenia: A main deficit but no specificity

Michael Herzog, Michel Akselrod, Maya Roinishvili, Ophélie Gladys Favrod

Visual deficits are core deficits of schizophrenia. Classically, deficits are determined with demanding psychophysical tasks requiring fine-grained spatial or temporal resolution. Less is known about holistic processing. Here, we employed the Leuven Embedd ...

2022

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Steffen Alexander Herff

Although theories of emotion associate negative emotional symptoms with cognitive biases in information processing, they rarely specify the details. Here, we characterize cognitive biases in information processing of pleasant and unpleasant information, an ...

AMER PSYCHOLOGICAL ASSOC2022

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Martin Jaggi, Mariko Makhmutova

Background: In 2017, an estimated 17.3 million adults in the United States experienced at least one major depressive episode, with 35% of them not receiving any treatment. Underdiagnosis of depression has been attributed to many reasons, including stigma s ...

Toronto2022

The shine-through paradigm and the schizophrenia spectrum: a summary

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

In the past 10 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 ...

2021

Extended Gate Field Effect Transistor Based Sensor for Detection of Trace Amounts of Anti-Depressant Drug

Mihai Adrian Ionescu, Shokoofeh Sheibani

Citalopram hydrobromide (CP) is a selective serotonin reuptake inhibitor for the treatment of the depressive disorder. In this work, a novel label-free recognition method based on an extended gate field-effect transistor (EGFET) for selective determination ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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Dysthymia

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

Markers of limbic system damage following SARS-CoV-2 infection

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Glucocorticoid-based pharmacotherapies preventing PTSD

Embedded figures in schizophrenia: A main deficit but no specificity

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Predicting changes in depression using person-generated health data

The shine-through paradigm and the schizophrenia spectrum: a summary

Extended Gate Field Effect Transistor Based Sensor for Detection of Trace Amounts of Anti-Depressant Drug

Graph Chatbot

Chat with Graph Search

The shine-through paradigm and the schizophrenia spectrum: a summary

Markers of limbic system damage following SARS-CoV-2 infection

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Extended Gate Field Effect Transistor Based Sensor for Detection of Trace Amounts of Anti-Depressant Drug

Embedded figures in schizophrenia: A main deficit but no specificity

Glucocorticoid-based pharmacotherapies preventing PTSD

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

Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

Predicting changes in depression using person-generated health data