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Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography

INTRODUCTION: Schizophrenia (SZ) and bipolar disorder (BD) are severe mental illnesses with large overlapping heritability. Both disorders are associated with altered neurophysiological responses, as measured with magnetoencephalography (MEG) or electroencephalography (EEG), particularly reduced mis...

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Autores principales: Jefsen, O., Dietz, M., Friston, K., Mors, O., Shtyrov, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567799/
http://dx.doi.org/10.1192/j.eurpsy.2022.1641
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author Jefsen, O.
Dietz, M.
Friston, K.
Mors, O.
Shtyrov, Y.
author_facet Jefsen, O.
Dietz, M.
Friston, K.
Mors, O.
Shtyrov, Y.
author_sort Jefsen, O.
collection PubMed
description INTRODUCTION: Schizophrenia (SZ) and bipolar disorder (BD) are severe mental illnesses with large overlapping heritability. Both disorders are associated with altered neurophysiological responses, as measured with magnetoencephalography (MEG) or electroencephalography (EEG), particularly reduced mismatch negativity (MMN) and 40 Hz auditory steady-state responses (ASSR). These deficits could potentially both serve as early markers of illness and provide insight into the underlying pathophysiology as endophenotypes. First-degree relatives to patients with SZ and BD also show some neurophysiological deficits, however whether these deficits can be detected in adolescent offspring of patients is undetermined. OBJECTIVES: We aim to investigate whether adolescents at familial high risk of schizophrenia and bipolar disorder show aberrant MMN and ASSR compared to population-based controls. METHODS: We will investigate MMN and 40 Hz ASSR in 15 year old adolescents (n ≈ 175) born to parents diagnosed with either SZ (FHR-SZ), BD (FHR-BD), or neither SZ or BD (population-based controls, PBC) using MEG. We will first perform sensor-level analyses and subsequently apply dynamic causal modeling (DCM) to investigate effective connectivity and make inferences about the underlying neurobiological mechanisms. We will investigate whether current psychopathology, cognitive status, and genetic risk for SZ and BD predict neurophysiological responses in the adolescents. Investigations are part of The Danish High Risk and Resilience Study - VIA (VIA15), a population-based longitudinal cohort study integrating social, psychological and biological risk factors and outcomes for SZ and BD. RESULTS: Final results are expected in 2024 CONCLUSIONS: The VIA15 study will allow for unprecedented insight into the neurobiological development of schizophrenia and bipolar disorder. DISCLOSURE: No significant relationships.
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spelling pubmed-95677992022-10-17 Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography Jefsen, O. Dietz, M. Friston, K. Mors, O. Shtyrov, Y. Eur Psychiatry Abstract INTRODUCTION: Schizophrenia (SZ) and bipolar disorder (BD) are severe mental illnesses with large overlapping heritability. Both disorders are associated with altered neurophysiological responses, as measured with magnetoencephalography (MEG) or electroencephalography (EEG), particularly reduced mismatch negativity (MMN) and 40 Hz auditory steady-state responses (ASSR). These deficits could potentially both serve as early markers of illness and provide insight into the underlying pathophysiology as endophenotypes. First-degree relatives to patients with SZ and BD also show some neurophysiological deficits, however whether these deficits can be detected in adolescent offspring of patients is undetermined. OBJECTIVES: We aim to investigate whether adolescents at familial high risk of schizophrenia and bipolar disorder show aberrant MMN and ASSR compared to population-based controls. METHODS: We will investigate MMN and 40 Hz ASSR in 15 year old adolescents (n ≈ 175) born to parents diagnosed with either SZ (FHR-SZ), BD (FHR-BD), or neither SZ or BD (population-based controls, PBC) using MEG. We will first perform sensor-level analyses and subsequently apply dynamic causal modeling (DCM) to investigate effective connectivity and make inferences about the underlying neurobiological mechanisms. We will investigate whether current psychopathology, cognitive status, and genetic risk for SZ and BD predict neurophysiological responses in the adolescents. Investigations are part of The Danish High Risk and Resilience Study - VIA (VIA15), a population-based longitudinal cohort study integrating social, psychological and biological risk factors and outcomes for SZ and BD. RESULTS: Final results are expected in 2024 CONCLUSIONS: The VIA15 study will allow for unprecedented insight into the neurobiological development of schizophrenia and bipolar disorder. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567799/ http://dx.doi.org/10.1192/j.eurpsy.2022.1641 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Jefsen, O.
Dietz, M.
Friston, K.
Mors, O.
Shtyrov, Y.
Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title_full Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title_fullStr Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title_full_unstemmed Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title_short Identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
title_sort identifying prodromal biomarkers for schizophrenia and bipolar disorder using magnetoencephalography
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567799/
http://dx.doi.org/10.1192/j.eurpsy.2022.1641
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