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The Role of Theta and Alpha Oscillations in Emerging Psychosis

Applicant Ramyead Avinash
Number 152074
Funding scheme Doc.CH
Research institution Zentrum für Gender Research u. Früherkennung Universitäre Psychiatrische Kliniken Basel Universitätsspital Basel
Institution of higher education University of Basel - BS
Main discipline Psychology
Start/End 01.03.2014 - 29.02.2016
Approved amount 128'476.00
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Keywords (9)

ARMS; Alpha; Schizophrenia; Psychosis; ERP; FEP; EEG; Theta; neurocognition

Lay Summary (French)

Lead
Au cours des 20 dernières années, il y a eu un fort intérêt dans la détection précoce et le traitement de la psychose. Malgré les diverses "prodromes" qui ont été identifiés et ont contribué à augmenter la précision de détection des personnes à risque, il n'est pas encore possible de prévoir la transition vers la psychose avec une précision adéquate. Bien que certaines études avec l'électroencéphalographie (EEG) comme méthode d'exploration d'activités cérébrales ont été menées dans le domaine de la détection précoce, les oscillations neuronales et leur synchronisations entre les régions du cerveau ont été ignorées. Le projet contribue alors à adresser cette question.
Lay summary

Les psychoses schizophrènes ne commencent pas brusquement mais ont souvent des symptômes qui peuvent parfois être observés dès l'enfance. Par conséquent, les psychoses schizophréniques sont de plus en plus reconnues que les troubles neurologiques durant le développement. Aussi, Il y a souvent un délai entre le diagnostic et le traitement de ces troubles. En moyenne, la durée de la psychose non-traitée est de 1 à 3 ans.

Ce projet pourrait considérablement contribuer à notre compréhension des troubles neurocognitifs durant l'émergence de la psychose en termes d'activités électriques du cerveau. Il pourrait aussi révéler si les perturbations de ces activités électriques donnent lieu à des troubles cognitifs. Cela pourrait non seulement améliorer notre compréhension de la physiopathologie des psychoses schizophrènes mais également changer la façon dont nous diagnostiquons les patients avec une psychose naissante. Cela pourrait réduire la durée de la maladie non-traitée et aboutir à de meilleurs pronostics chez ces personnes.

 

Direct link to Lay Summary Last update: 20.03.2014

Responsible applicant and co-applicants

Name Institute

Employees

Name Institute

Publications

Publication
Neural Oscillations in Antipsychotic-Naïve Patients with a First Psychotic Episode.
Ramyead Avinash, Studerus Erich, Kometer Michael, Heitz Ulrike, Gschwandtner Ute, Fuhr Peter, Riecher-Rössler Anita (2016), Neural Oscillations in Antipsychotic-Naïve Patients with a First Psychotic Episode., in The world journal of biological psychiatry : the official journal of the World Federation of Societi, 1-27.
Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients.
Ramyead Avinash, Studerus Erich, Kometer Michael, Uttinger Martina, Gschwandtner Ute, Fuhr Peter, Riecher-Rössler Anita (2015), Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients., in The world journal of biological psychiatry : the official journal of the World Federation of Societi, 1-11.
Aberrant Current Source-Density and Lagged Phase Synchronization of Neural Oscillations as Markers for Emerging Psychosis.
Ramyead Avinash, Kometer Michael, Studerus Erich, Koranyi Susan, Ittig Sarah, Gschwandtner Ute, Fuhr Peter, Riecher-Rössler Anita (2014), Aberrant Current Source-Density and Lagged Phase Synchronization of Neural Oscillations as Markers for Emerging Psychosis., in Schizophrenia bulletin, 41(4), 919-29.

Collaboration

Group / person Country
Types of collaboration
The Psychophysics and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver Canada (North America)
- in-depth/constructive exchanges on approaches, methods or results
Neuropsychopharmacology & Brainimaging Unit, University of Zurich Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
European Neuroscience Conference by Doctoral Student Poster Prediction of Psychosis using Neural Oscillations and Machine Learning in At-Risk Patients for Psychosis 23.04.2015 Sesimbra, Portugal Ramyead Avinash;
Society for Neuroscience 2014 Poster Neural Oscillations in Antipsychotic-Naïve Patients with a First Psychotic Episode 15.11.2014 Washington DC, United States of America Ramyead Avinash;
Biennial Schizophrenia International Research Society Conference Poster DEVIANT NEURAL OSCILLATIONS AND LAGGED PHASE SYNCHRONICITY IN PATIENTS WITH AN AT-RISK MENTAL STATE FOR PSYCHOSIS 05.04.2014 Florence, Italy Ramyead Avinash;


Associated projects

Number Title Start Funding scheme
57216 Prediction and early detection of schizophrenia - a prospective multilevel approach 01.03.2000 Project funding (Div. I-III)

Abstract

Background: In the last 20 years, there has been a strongly increased interest in the early detection and treatment of psychosis. Despite the various potential “prodromes” that have been identified and have helped increased detection accuracy of those at-risk for developing psychoses, it is still not possible to predict the transition to psychosis with a sufficient accuracy. Although some electroencephalography (EEG) studies, based on basic power-spectral and event-related potential analyses, have been conducted in the field of early detection, neural oscillations and synchrony have been ignored.Objectives: To study:•the role of prefrontal theta oscillations in integrating and applying contextual information.•the contribution of phase-synchronization between the medial prefrontal cortex (mPFC) and the lateral prefrontal cortex (lPFC) to self-monitoring functioning. •the role of alpha oscillations in protecting against distractors, and its contribution to the formation of psychotic symptoms.Hypothesis:•At-risk mental state (ARMS) and first episode psychosis (FEP) patients are impaired in context-dependent learning and this impairment is associated with abnormal theta oscillations in the frontal lobe of the brain.•ARMS and FEP patients are impaired in a self-monitoring and this impairment is associated with a low synchronization of the theta band between the mPFC and lPFC.•ARMS and FEP patients are impaired in shielding working memory against distractorsand this impairment is associated with abnormal alpha oscillations in the occipito-parietal regions of the brain.Design and Methods: 20 healthy controls (HC), 20 ARMS and 20 FEP patients recruited through the Basel Früherkennung von Psychosen (FePsy) study will be tested by three EEG paradigms assessing context-dependent encoding, self-monitoring, and shielding against distractors. The EEG data will be analyzed by state-of-the-art methods, including LORETA, wavelets, connectivity and phase synchronicity analyses.Expected value of the project: This project could considerably advance our understanding of the role of alpha and theta oscillations in context-dependent encoding, self-monitoring, and protection against distraction in emerging psychosis. Furthermore, because HC, ARMS and FEP subjects will be compared, it could reveal whether disruptions in these oscillations and associated cognitive functions are diseases-stage dependent. This in turn could not only enhance our understanding of the pathophysiology of schizophrenic psychoses but also provide the ground for a more in-depth study that could potentially change the way we diagnose patients with emerging psychosis. This could reduce the duration of untreated illness and yield enhanced functional outcomes in these individuals.
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