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Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study

Aberrant resting-state connectivity within and between the Default Mode Network, the Executive Control Network, and the Salience Network is well-established in schizophrenia. Meta-analyses have identified that bilateral lingual gyrus is as the only region showing hyperactivity in schizophrenia and t...

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Autores principales: Lalousis, Paris Alexandros, Malaviya, Aanya, Upthegrove, Rachel, Heinze, Kareen, Diukova, Ana, Auer, Dorothee, Liddle, Peter, Mallikarjun, Pavan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712324/
https://www.ncbi.nlm.nih.gov/pubmed/36241961
http://dx.doi.org/10.1007/s11682-022-00731-9
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author Lalousis, Paris Alexandros
Malaviya, Aanya
Upthegrove, Rachel
Heinze, Kareen
Diukova, Ana
Auer, Dorothee
Liddle, Peter
Mallikarjun, Pavan
author_facet Lalousis, Paris Alexandros
Malaviya, Aanya
Upthegrove, Rachel
Heinze, Kareen
Diukova, Ana
Auer, Dorothee
Liddle, Peter
Mallikarjun, Pavan
author_sort Lalousis, Paris Alexandros
collection PubMed
description Aberrant resting-state connectivity within and between the Default Mode Network, the Executive Control Network, and the Salience Network is well-established in schizophrenia. Meta-analyses have identified that bilateral lingual gyrus is as the only region showing hyperactivity in schizophrenia and there are reports of increased connectivity between the lingual gyrus and other brain regions in schizophrenia. It is not clear whether these abnormalities represent state or trait markers of the illness, i.e., if they are only present during the acute phase of the illness (state) or if they reflect a predisposition to schizophrenia (trait). In this study, we used a seed-based functional connectivity analysis to investigate brain networks in schizophrenia patients who are in the stable phase of their illness and assess functional connectivity using seeds in the lingual gyrus, the posterior cingulate, the right dorsolateral prefrontal cortex (dlPFC), the right anterior insula (rAI) and the right orbital frontoinsula. Twenty patients with schizophrenia in a stable phase of their illness (as defined by the course of illness and Signs and Symptoms of Psychotic Illness (SSPI) scores) and 20 age and sex-matched healthy controls underwent resting-state functional Magnetic Resonance Imaging (rs-fMRI). Data was analysed using the Data Processing Assistant for Resting-State fMRI Advanced Edition (DPARSFA) V3.1 (http://rfmri.org/DPARSF) and the statistical parametric mapping software 8 (SPM8). Compared with healthy controls, patients with schizophrenia showed increased connectivity between the left lingual gyrus and the middle frontal gyrus, and the cingulate cortex. Lingual gyrus hyper-connectivity may be a stable trait neuroimaging marker for schizophrenia. Our findings suggest that aberrant connectivity in major resting-state networks may not be present after the acute illness has stabilised. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-022-00731-9.
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spelling pubmed-97123242022-12-02 Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study Lalousis, Paris Alexandros Malaviya, Aanya Upthegrove, Rachel Heinze, Kareen Diukova, Ana Auer, Dorothee Liddle, Peter Mallikarjun, Pavan Brain Imaging Behav Original Research Aberrant resting-state connectivity within and between the Default Mode Network, the Executive Control Network, and the Salience Network is well-established in schizophrenia. Meta-analyses have identified that bilateral lingual gyrus is as the only region showing hyperactivity in schizophrenia and there are reports of increased connectivity between the lingual gyrus and other brain regions in schizophrenia. It is not clear whether these abnormalities represent state or trait markers of the illness, i.e., if they are only present during the acute phase of the illness (state) or if they reflect a predisposition to schizophrenia (trait). In this study, we used a seed-based functional connectivity analysis to investigate brain networks in schizophrenia patients who are in the stable phase of their illness and assess functional connectivity using seeds in the lingual gyrus, the posterior cingulate, the right dorsolateral prefrontal cortex (dlPFC), the right anterior insula (rAI) and the right orbital frontoinsula. Twenty patients with schizophrenia in a stable phase of their illness (as defined by the course of illness and Signs and Symptoms of Psychotic Illness (SSPI) scores) and 20 age and sex-matched healthy controls underwent resting-state functional Magnetic Resonance Imaging (rs-fMRI). Data was analysed using the Data Processing Assistant for Resting-State fMRI Advanced Edition (DPARSFA) V3.1 (http://rfmri.org/DPARSF) and the statistical parametric mapping software 8 (SPM8). Compared with healthy controls, patients with schizophrenia showed increased connectivity between the left lingual gyrus and the middle frontal gyrus, and the cingulate cortex. Lingual gyrus hyper-connectivity may be a stable trait neuroimaging marker for schizophrenia. Our findings suggest that aberrant connectivity in major resting-state networks may not be present after the acute illness has stabilised. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-022-00731-9. Springer US 2022-10-14 2022 /pmc/articles/PMC9712324/ /pubmed/36241961 http://dx.doi.org/10.1007/s11682-022-00731-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Lalousis, Paris Alexandros
Malaviya, Aanya
Upthegrove, Rachel
Heinze, Kareen
Diukova, Ana
Auer, Dorothee
Liddle, Peter
Mallikarjun, Pavan
Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title_full Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title_fullStr Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title_full_unstemmed Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title_short Trait related aberrant connectivity in clinically stable patients with schizophrenia: A seed based resting state fMRI study
title_sort trait related aberrant connectivity in clinically stable patients with schizophrenia: a seed based resting state fmri study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712324/
https://www.ncbi.nlm.nih.gov/pubmed/36241961
http://dx.doi.org/10.1007/s11682-022-00731-9
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