Cargando…
Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia
BACKGROUND AND HYPOTHESIS: Differences in sound relevance filtering in schizophrenia are proposed to represent a key index of biological changes in brain function in the illness. This study featured a computational modeling approach to test the hypothesis that processing differences might already be...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016421/ https://www.ncbi.nlm.nih.gov/pubmed/36318221 http://dx.doi.org/10.1093/schbul/sbac153 |
_version_ | 1784907401330163712 |
---|---|
author | Todd, Juanita Howard, Zachary Auksztulewicz, Ryszard Salisbury, Dean |
author_facet | Todd, Juanita Howard, Zachary Auksztulewicz, Ryszard Salisbury, Dean |
author_sort | Todd, Juanita |
collection | PubMed |
description | BACKGROUND AND HYPOTHESIS: Differences in sound relevance filtering in schizophrenia are proposed to represent a key index of biological changes in brain function in the illness. This study featured a computational modeling approach to test the hypothesis that processing differences might already be evident in first-episode, becoming more pronounced in the established illness. STUDY DESIGN: Auditory event-related potentials to a typical oddball sequence (rare pitch deviations amongst regular sounds) were recorded from 90 persons with schizophrenia-spectrum disorders (40 first-episode schizophrenia-spectrum, 50 established illness) and age-matched healthy controls. The data were analyzed using dynamic causal modeling to identify the changes in effective connectivity that best explained group differences. STUDY RESULTS: Group differences were linked to intrinsic (within brain region) connectivity changes. In activity-dependent measures these were restricted to the left auditory cortex in first-episode schizophrenia-spectrum but were more widespread in the established illness. Modeling suggested that both established illness and first-episode schizophrenia-spectrum groups expressed significantly lower inhibition of inhibitory interneuron activity and altered gain on superficial pyramidal cells with the data indicative of differences in both putative N-methyl-d-aspartate glutamate receptor activity-dependent plasticity and classic neuromodulation. CONCLUSIONS: The study provides further support for the notion that examining the ability to alter responsiveness to structured sound sequences in schizophrenia and first-episode schizophrenia-spectrum could be informative to uncovering the nature and progression of changes in brain function during the illness. Furthermore, modeling suggested that limited differences present at first-episode schizophrenia-spectrum may become more expansive with illness progression. |
format | Online Article Text |
id | pubmed-10016421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100164212023-03-16 Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia Todd, Juanita Howard, Zachary Auksztulewicz, Ryszard Salisbury, Dean Schizophr Bull Regular Articles BACKGROUND AND HYPOTHESIS: Differences in sound relevance filtering in schizophrenia are proposed to represent a key index of biological changes in brain function in the illness. This study featured a computational modeling approach to test the hypothesis that processing differences might already be evident in first-episode, becoming more pronounced in the established illness. STUDY DESIGN: Auditory event-related potentials to a typical oddball sequence (rare pitch deviations amongst regular sounds) were recorded from 90 persons with schizophrenia-spectrum disorders (40 first-episode schizophrenia-spectrum, 50 established illness) and age-matched healthy controls. The data were analyzed using dynamic causal modeling to identify the changes in effective connectivity that best explained group differences. STUDY RESULTS: Group differences were linked to intrinsic (within brain region) connectivity changes. In activity-dependent measures these were restricted to the left auditory cortex in first-episode schizophrenia-spectrum but were more widespread in the established illness. Modeling suggested that both established illness and first-episode schizophrenia-spectrum groups expressed significantly lower inhibition of inhibitory interneuron activity and altered gain on superficial pyramidal cells with the data indicative of differences in both putative N-methyl-d-aspartate glutamate receptor activity-dependent plasticity and classic neuromodulation. CONCLUSIONS: The study provides further support for the notion that examining the ability to alter responsiveness to structured sound sequences in schizophrenia and first-episode schizophrenia-spectrum could be informative to uncovering the nature and progression of changes in brain function during the illness. Furthermore, modeling suggested that limited differences present at first-episode schizophrenia-spectrum may become more expansive with illness progression. Oxford University Press 2022-11-01 /pmc/articles/PMC10016421/ /pubmed/36318221 http://dx.doi.org/10.1093/schbul/sbac153 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Regular Articles Todd, Juanita Howard, Zachary Auksztulewicz, Ryszard Salisbury, Dean Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title | Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title_full | Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title_fullStr | Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title_full_unstemmed | Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title_short | Computational Modeling of Oddball Sequence Processing Exposes Common and Differential Auditory Network Changes in First-Episode Schizophrenia-Spectrum Disorders and Schizophrenia |
title_sort | computational modeling of oddball sequence processing exposes common and differential auditory network changes in first-episode schizophrenia-spectrum disorders and schizophrenia |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016421/ https://www.ncbi.nlm.nih.gov/pubmed/36318221 http://dx.doi.org/10.1093/schbul/sbac153 |
work_keys_str_mv | AT toddjuanita computationalmodelingofoddballsequenceprocessingexposescommonanddifferentialauditorynetworkchangesinfirstepisodeschizophreniaspectrumdisordersandschizophrenia AT howardzachary computationalmodelingofoddballsequenceprocessingexposescommonanddifferentialauditorynetworkchangesinfirstepisodeschizophreniaspectrumdisordersandschizophrenia AT auksztulewiczryszard computationalmodelingofoddballsequenceprocessingexposescommonanddifferentialauditorynetworkchangesinfirstepisodeschizophreniaspectrumdisordersandschizophrenia AT salisburydean computationalmodelingofoddballsequenceprocessingexposescommonanddifferentialauditorynetworkchangesinfirstepisodeschizophreniaspectrumdisordersandschizophrenia |