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Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia
The dysconnection hypothesis of schizophrenia (SZ) proposes that psychosis is best understood in terms of aberrant connectivity. Specifically, it suggests that dysconnectivity arises through aberrant synaptic modulation associated with deficits in GABAergic inhibition, excitation–inhibition balance...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442335/ https://www.ncbi.nlm.nih.gov/pubmed/31219602 http://dx.doi.org/10.1093/schbul/sbz066 |
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author | Shaw, Alexander D Knight, Laura Freeman, Tom C A Williams, Gemma M Moran, Rosalyn J Friston, Karl J Walters, James T R Singh, Krish D |
author_facet | Shaw, Alexander D Knight, Laura Freeman, Tom C A Williams, Gemma M Moran, Rosalyn J Friston, Karl J Walters, James T R Singh, Krish D |
author_sort | Shaw, Alexander D |
collection | PubMed |
description | The dysconnection hypothesis of schizophrenia (SZ) proposes that psychosis is best understood in terms of aberrant connectivity. Specifically, it suggests that dysconnectivity arises through aberrant synaptic modulation associated with deficits in GABAergic inhibition, excitation–inhibition balance and disturbances of high-frequency oscillations. Using a computational model combined with a graded-difficulty visual orientation discrimination paradigm, we demonstrate that, in SZ, perceptual performance is determined by the balance of excitation–inhibition in superficial cortical layers. Twenty-eight individuals with a DSM-IV diagnosis of SZ, and 30 age- and gender-matched healthy controls participated in a psychophysics orientation discrimination task, a visual grating magnetoencephalography (MEG) recording, and a magnetic resonance spectroscopy (MRS) scan for GABA. Using a neurophysiologically informed model, we quantified group differences in GABA, gamma measures, and the predictive validity of model parameters for orientation discrimination in the SZ group. MEG visual gamma frequency was reduced in SZ, with lower peak frequency associated with more severe negative symptoms. Orientation discrimination performance was impaired in SZ. Dynamic causal modeling of the MEG data showed that local synaptic connections were reduced in SZ and local inhibition correlated negatively with the severity of negative symptoms. The effective connectivity between inhibitory interneurons and superficial pyramidal cells predicted orientation discrimination performance within the SZ group; consistent with graded, behaviorally relevant, disease-related changes in local GABAergic connections. Occipital GABA levels were significantly reduced in SZ but did not predict behavioral performance or oscillatory measures. These findings endorse the importance, and behavioral relevance, of GABAergic synaptic disconnection in schizophrenia that underwrites excitation–inhibition balance. |
format | Online Article Text |
id | pubmed-7442335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74423352020-08-25 Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia Shaw, Alexander D Knight, Laura Freeman, Tom C A Williams, Gemma M Moran, Rosalyn J Friston, Karl J Walters, James T R Singh, Krish D Schizophr Bull Regular Articles The dysconnection hypothesis of schizophrenia (SZ) proposes that psychosis is best understood in terms of aberrant connectivity. Specifically, it suggests that dysconnectivity arises through aberrant synaptic modulation associated with deficits in GABAergic inhibition, excitation–inhibition balance and disturbances of high-frequency oscillations. Using a computational model combined with a graded-difficulty visual orientation discrimination paradigm, we demonstrate that, in SZ, perceptual performance is determined by the balance of excitation–inhibition in superficial cortical layers. Twenty-eight individuals with a DSM-IV diagnosis of SZ, and 30 age- and gender-matched healthy controls participated in a psychophysics orientation discrimination task, a visual grating magnetoencephalography (MEG) recording, and a magnetic resonance spectroscopy (MRS) scan for GABA. Using a neurophysiologically informed model, we quantified group differences in GABA, gamma measures, and the predictive validity of model parameters for orientation discrimination in the SZ group. MEG visual gamma frequency was reduced in SZ, with lower peak frequency associated with more severe negative symptoms. Orientation discrimination performance was impaired in SZ. Dynamic causal modeling of the MEG data showed that local synaptic connections were reduced in SZ and local inhibition correlated negatively with the severity of negative symptoms. The effective connectivity between inhibitory interneurons and superficial pyramidal cells predicted orientation discrimination performance within the SZ group; consistent with graded, behaviorally relevant, disease-related changes in local GABAergic connections. Occipital GABA levels were significantly reduced in SZ but did not predict behavioral performance or oscillatory measures. These findings endorse the importance, and behavioral relevance, of GABAergic synaptic disconnection in schizophrenia that underwrites excitation–inhibition balance. Oxford University Press 2020-02 2019-06-20 /pmc/articles/PMC7442335/ /pubmed/31219602 http://dx.doi.org/10.1093/schbul/sbz066 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Articles Shaw, Alexander D Knight, Laura Freeman, Tom C A Williams, Gemma M Moran, Rosalyn J Friston, Karl J Walters, James T R Singh, Krish D Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title | Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title_full | Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title_fullStr | Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title_full_unstemmed | Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title_short | Oscillatory, Computational, and Behavioral Evidence for Impaired GABAergic Inhibition in Schizophrenia |
title_sort | oscillatory, computational, and behavioral evidence for impaired gabaergic inhibition in schizophrenia |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442335/ https://www.ncbi.nlm.nih.gov/pubmed/31219602 http://dx.doi.org/10.1093/schbul/sbz066 |
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