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Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity

Magnetoencephalography (MEG) measures magnetic fields generated by synchronised neural current flow and provides direct inference on brain electrophysiology and connectivity, with high spatial and temporal resolution. The movement-related beta decrease (MRBD) and the post-movement beta rebound (PMBR...

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Autores principales: Gascoyne, Lauren E., Brookes, Matthew J., Rathnaiah, Mohanbabu, Katshu, Mohammad Zia Ul Haq, Koelewijn, Loes, Williams, Gemma, Kumar, Jyothika, Walters, James T.R., Seedat, Zelekha A., Palaniyappan, Lena, Deakin, J.F. William, Singh, Krish D., Liddle, Peter F., Morris, Peter G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750164/
https://www.ncbi.nlm.nih.gov/pubmed/33340975
http://dx.doi.org/10.1016/j.nicl.2020.102524
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author Gascoyne, Lauren E.
Brookes, Matthew J.
Rathnaiah, Mohanbabu
Katshu, Mohammad Zia Ul Haq
Koelewijn, Loes
Williams, Gemma
Kumar, Jyothika
Walters, James T.R.
Seedat, Zelekha A.
Palaniyappan, Lena
Deakin, J.F. William
Singh, Krish D.
Liddle, Peter F.
Morris, Peter G.
author_facet Gascoyne, Lauren E.
Brookes, Matthew J.
Rathnaiah, Mohanbabu
Katshu, Mohammad Zia Ul Haq
Koelewijn, Loes
Williams, Gemma
Kumar, Jyothika
Walters, James T.R.
Seedat, Zelekha A.
Palaniyappan, Lena
Deakin, J.F. William
Singh, Krish D.
Liddle, Peter F.
Morris, Peter G.
author_sort Gascoyne, Lauren E.
collection PubMed
description Magnetoencephalography (MEG) measures magnetic fields generated by synchronised neural current flow and provides direct inference on brain electrophysiology and connectivity, with high spatial and temporal resolution. The movement-related beta decrease (MRBD) and the post-movement beta rebound (PMBR) are well-characterised effects in magnetoencephalography (MEG), with the latter having been shown to relate to long-range network integrity. Our previous work has shown that the PMBR is diminished (relative to controls) in a group of schizophrenia patients. However, little is known about how this effect might differ in patients at different stages of illness and degrees of clinical severity. Here, we extend our previous findings showing that the MEG derived PMBR abnormality in schizophrenia exists in 29 recent-onset and 35 established cases (i.e., chronic patients), compared to 42 control cases. In established cases, PMBR is negatively correlated with severity of disorganization symptoms. Further, using a hidden Markov model analysis, we show that transient pan-spectral oscillatory ”bursts”, which underlie the PMBR, differ between healthy controls and patients. Results corroborate that PMBR is associated with disorganization of mental activity in schizophrenia.
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spelling pubmed-77501642020-12-23 Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity Gascoyne, Lauren E. Brookes, Matthew J. Rathnaiah, Mohanbabu Katshu, Mohammad Zia Ul Haq Koelewijn, Loes Williams, Gemma Kumar, Jyothika Walters, James T.R. Seedat, Zelekha A. Palaniyappan, Lena Deakin, J.F. William Singh, Krish D. Liddle, Peter F. Morris, Peter G. Neuroimage Clin Regular Article Magnetoencephalography (MEG) measures magnetic fields generated by synchronised neural current flow and provides direct inference on brain electrophysiology and connectivity, with high spatial and temporal resolution. The movement-related beta decrease (MRBD) and the post-movement beta rebound (PMBR) are well-characterised effects in magnetoencephalography (MEG), with the latter having been shown to relate to long-range network integrity. Our previous work has shown that the PMBR is diminished (relative to controls) in a group of schizophrenia patients. However, little is known about how this effect might differ in patients at different stages of illness and degrees of clinical severity. Here, we extend our previous findings showing that the MEG derived PMBR abnormality in schizophrenia exists in 29 recent-onset and 35 established cases (i.e., chronic patients), compared to 42 control cases. In established cases, PMBR is negatively correlated with severity of disorganization symptoms. Further, using a hidden Markov model analysis, we show that transient pan-spectral oscillatory ”bursts”, which underlie the PMBR, differ between healthy controls and patients. Results corroborate that PMBR is associated with disorganization of mental activity in schizophrenia. Elsevier 2020-12-03 /pmc/articles/PMC7750164/ /pubmed/33340975 http://dx.doi.org/10.1016/j.nicl.2020.102524 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Gascoyne, Lauren E.
Brookes, Matthew J.
Rathnaiah, Mohanbabu
Katshu, Mohammad Zia Ul Haq
Koelewijn, Loes
Williams, Gemma
Kumar, Jyothika
Walters, James T.R.
Seedat, Zelekha A.
Palaniyappan, Lena
Deakin, J.F. William
Singh, Krish D.
Liddle, Peter F.
Morris, Peter G.
Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title_full Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title_fullStr Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title_full_unstemmed Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title_short Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
title_sort motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750164/
https://www.ncbi.nlm.nih.gov/pubmed/33340975
http://dx.doi.org/10.1016/j.nicl.2020.102524
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