Cargando…
MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia
Neuroimaging studies suggest that schizophrenia is characterized by disturbances in oscillatory activity, although at present it remains unclear whether these neural abnormalities are driven by dimensions of symptomatology. Examining different subgroups of patients based on their symptomatology is t...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154766/ https://www.ncbi.nlm.nih.gov/pubmed/30238919 http://dx.doi.org/10.1016/j.nicl.2018.09.007 |
_version_ | 1783357759306072064 |
---|---|
author | Zeev-Wolf, Maor Levy, Jonathan Jahshan, Carol Peled, Abraham Levkovitz, Yechiel Grinshpoon, Alexander Goldstein, Abraham |
author_facet | Zeev-Wolf, Maor Levy, Jonathan Jahshan, Carol Peled, Abraham Levkovitz, Yechiel Grinshpoon, Alexander Goldstein, Abraham |
author_sort | Zeev-Wolf, Maor |
collection | PubMed |
description | Neuroimaging studies suggest that schizophrenia is characterized by disturbances in oscillatory activity, although at present it remains unclear whether these neural abnormalities are driven by dimensions of symptomatology. Examining different subgroups of patients based on their symptomatology is thus very informative in understanding the role of neural oscillation patterns in schizophrenia. In the present study we examined whether neural oscillations in the delta, theta, alpha, beta and gamma bands correlate with positive and negative symptoms in individuals with schizophrenia (SZ) during rest. Resting-state brain activity of 39 SZ and 25 neurotypical controls was recorded using magnetoencephalography. Patients were categorized based on the severity of their positive and negative symptoms. Spectral analyses of beamformer data revealed that patients high in positive symptoms showed widespread low alpha power, and alpha power was negatively correlated with positive symptoms. In contrast, patients high in negative symptoms showed greater beta power in left hemisphere regions than those low in negative symptoms, and beta power was positively correlated with negative symptoms. We further discuss these findings and suggest that different neural mechanisms may underlie positive and negative symptoms in schizophrenia. |
format | Online Article Text |
id | pubmed-6154766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61547662018-09-26 MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia Zeev-Wolf, Maor Levy, Jonathan Jahshan, Carol Peled, Abraham Levkovitz, Yechiel Grinshpoon, Alexander Goldstein, Abraham Neuroimage Clin Regular Article Neuroimaging studies suggest that schizophrenia is characterized by disturbances in oscillatory activity, although at present it remains unclear whether these neural abnormalities are driven by dimensions of symptomatology. Examining different subgroups of patients based on their symptomatology is thus very informative in understanding the role of neural oscillation patterns in schizophrenia. In the present study we examined whether neural oscillations in the delta, theta, alpha, beta and gamma bands correlate with positive and negative symptoms in individuals with schizophrenia (SZ) during rest. Resting-state brain activity of 39 SZ and 25 neurotypical controls was recorded using magnetoencephalography. Patients were categorized based on the severity of their positive and negative symptoms. Spectral analyses of beamformer data revealed that patients high in positive symptoms showed widespread low alpha power, and alpha power was negatively correlated with positive symptoms. In contrast, patients high in negative symptoms showed greater beta power in left hemisphere regions than those low in negative symptoms, and beta power was positively correlated with negative symptoms. We further discuss these findings and suggest that different neural mechanisms may underlie positive and negative symptoms in schizophrenia. Elsevier 2018-09-17 /pmc/articles/PMC6154766/ /pubmed/30238919 http://dx.doi.org/10.1016/j.nicl.2018.09.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Zeev-Wolf, Maor Levy, Jonathan Jahshan, Carol Peled, Abraham Levkovitz, Yechiel Grinshpoon, Alexander Goldstein, Abraham MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title | MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title_full | MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title_fullStr | MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title_full_unstemmed | MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title_short | MEG resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
title_sort | meg resting-state oscillations and their relationship to clinical symptoms in schizophrenia |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154766/ https://www.ncbi.nlm.nih.gov/pubmed/30238919 http://dx.doi.org/10.1016/j.nicl.2018.09.007 |
work_keys_str_mv | AT zeevwolfmaor megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT levyjonathan megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT jahshancarol megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT peledabraham megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT levkovitzyechiel megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT grinshpoonalexander megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia AT goldsteinabraham megrestingstateoscillationsandtheirrelationshiptoclinicalsymptomsinschizophrenia |