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Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER)
BACKGROUND: Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiag...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662684/ https://www.ncbi.nlm.nih.gov/pubmed/37990173 http://dx.doi.org/10.1186/s12888-023-05347-x |
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author | Lucarini, Valeria Alouit, Anaëlle Yeh, Delphine Le Coq, Jeanne Savatte, Romane Charre, Mylène Louveau, Cécile Houamri, Meryem Benlaifa Penaud, Sylvain Gaston-Bellegarde, Alexandre Rio, Stéphane Drouet, Laurent Elbaz, Maxime Becchio, Jean Pourchet, Sylvain Pruvost-Robieux, Estelle Marchi, Angela Moyal, Mylène Lefebvre, Aline Chaumette, Boris Grice, Martine Lindberg, Påvel G. Dupin, Lucile Piolino, Pascale Lemogne, Cédric Léger, Damien Gavaret, Martine Krebs, Marie-Odile Iftimovici, Anton |
author_facet | Lucarini, Valeria Alouit, Anaëlle Yeh, Delphine Le Coq, Jeanne Savatte, Romane Charre, Mylène Louveau, Cécile Houamri, Meryem Benlaifa Penaud, Sylvain Gaston-Bellegarde, Alexandre Rio, Stéphane Drouet, Laurent Elbaz, Maxime Becchio, Jean Pourchet, Sylvain Pruvost-Robieux, Estelle Marchi, Angela Moyal, Mylène Lefebvre, Aline Chaumette, Boris Grice, Martine Lindberg, Påvel G. Dupin, Lucile Piolino, Pascale Lemogne, Cédric Léger, Damien Gavaret, Martine Krebs, Marie-Odile Iftimovici, Anton |
author_sort | Lucarini, Valeria |
collection | PubMed |
description | BACKGROUND: Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiagnostic anomalies in neurophysiological functions that are impaired in mood, psychosis, and autism spectrum disorders, such as sensorimotor integration, speech, sleep, and sense of self. The main questions this study aims to answer are as follows: 1) Are EEG microstate anomalies associated with clinical and functional prognosis, both in resting conditions and during sleep, across psychiatric disorders? 2) Are EEG microstate anomalies associated with differences in sensorimotor integration, speech, sense of self, and sleep? 3) Can the dynamic of EEG microstates be modulated by a non-drug intervention such as light hypnosis? METHODS: This prospective cohort will include a population of adolescents and young adults, aged 15 to 30 years old, with ultra-high-risk of psychosis (UHR), first-episode psychosis (FEP), schizophrenia (SCZ), autism spectrum disorder (ASD), and major depressive disorder (MDD), as well as healthy controls (CTRL) (N = 21 × 6), who will be assessed at baseline and after one year of follow-up. Participants will undergo deep phenotyping based on psychopathology, neuropsychological assessments, 64-channel EEG recordings, and biological sampling at the two timepoints. At baseline, the EEG recording will also be coupled to a sensorimotor task and a recording of the characteristics of their speech (prosody and turn-taking), a one-night polysomnography, a self-reference effect task in virtual reality (only in UHR, FEP, and CTRL). An interventional ancillary study will involve only healthy controls, in order to assess whether light hypnosis can modify the EEG microstate architecture in a direction opposite to what is seen in disease. DISCUSSION: This transdiagnostic longitudinal case–control study will provide a multimodal neurophysiological assessment of clinical dimensions (sensorimotor integration, speech, sleep, and sense of self) that are disrupted across mood, psychosis, and autism spectrum disorders. It will further test the relevance of EEG microstates as dimensional functional biomarkers. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT06045897. |
format | Online Article Text |
id | pubmed-10662684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106626842023-11-21 Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) Lucarini, Valeria Alouit, Anaëlle Yeh, Delphine Le Coq, Jeanne Savatte, Romane Charre, Mylène Louveau, Cécile Houamri, Meryem Benlaifa Penaud, Sylvain Gaston-Bellegarde, Alexandre Rio, Stéphane Drouet, Laurent Elbaz, Maxime Becchio, Jean Pourchet, Sylvain Pruvost-Robieux, Estelle Marchi, Angela Moyal, Mylène Lefebvre, Aline Chaumette, Boris Grice, Martine Lindberg, Påvel G. Dupin, Lucile Piolino, Pascale Lemogne, Cédric Léger, Damien Gavaret, Martine Krebs, Marie-Odile Iftimovici, Anton BMC Psychiatry Study Protocol BACKGROUND: Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiagnostic anomalies in neurophysiological functions that are impaired in mood, psychosis, and autism spectrum disorders, such as sensorimotor integration, speech, sleep, and sense of self. The main questions this study aims to answer are as follows: 1) Are EEG microstate anomalies associated with clinical and functional prognosis, both in resting conditions and during sleep, across psychiatric disorders? 2) Are EEG microstate anomalies associated with differences in sensorimotor integration, speech, sense of self, and sleep? 3) Can the dynamic of EEG microstates be modulated by a non-drug intervention such as light hypnosis? METHODS: This prospective cohort will include a population of adolescents and young adults, aged 15 to 30 years old, with ultra-high-risk of psychosis (UHR), first-episode psychosis (FEP), schizophrenia (SCZ), autism spectrum disorder (ASD), and major depressive disorder (MDD), as well as healthy controls (CTRL) (N = 21 × 6), who will be assessed at baseline and after one year of follow-up. Participants will undergo deep phenotyping based on psychopathology, neuropsychological assessments, 64-channel EEG recordings, and biological sampling at the two timepoints. At baseline, the EEG recording will also be coupled to a sensorimotor task and a recording of the characteristics of their speech (prosody and turn-taking), a one-night polysomnography, a self-reference effect task in virtual reality (only in UHR, FEP, and CTRL). An interventional ancillary study will involve only healthy controls, in order to assess whether light hypnosis can modify the EEG microstate architecture in a direction opposite to what is seen in disease. DISCUSSION: This transdiagnostic longitudinal case–control study will provide a multimodal neurophysiological assessment of clinical dimensions (sensorimotor integration, speech, sleep, and sense of self) that are disrupted across mood, psychosis, and autism spectrum disorders. It will further test the relevance of EEG microstates as dimensional functional biomarkers. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT06045897. BioMed Central 2023-11-21 /pmc/articles/PMC10662684/ /pubmed/37990173 http://dx.doi.org/10.1186/s12888-023-05347-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Lucarini, Valeria Alouit, Anaëlle Yeh, Delphine Le Coq, Jeanne Savatte, Romane Charre, Mylène Louveau, Cécile Houamri, Meryem Benlaifa Penaud, Sylvain Gaston-Bellegarde, Alexandre Rio, Stéphane Drouet, Laurent Elbaz, Maxime Becchio, Jean Pourchet, Sylvain Pruvost-Robieux, Estelle Marchi, Angela Moyal, Mylène Lefebvre, Aline Chaumette, Boris Grice, Martine Lindberg, Påvel G. Dupin, Lucile Piolino, Pascale Lemogne, Cédric Léger, Damien Gavaret, Martine Krebs, Marie-Odile Iftimovici, Anton Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title | Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title_full | Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title_fullStr | Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title_full_unstemmed | Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title_short | Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (DEMETER) |
title_sort | neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case–control transdiagnostic multimodal study (demeter) |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662684/ https://www.ncbi.nlm.nih.gov/pubmed/37990173 http://dx.doi.org/10.1186/s12888-023-05347-x |
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