The effects of psychiatric history and age on self-regulation of the default mode network

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  • dc.contributor.author Skouras, Stavros
  • dc.contributor.author Scharnowski, Frank
  • dc.date.accessioned 2023-01-16T12:06:59Z
  • dc.date.available 2023-01-16T12:06:59Z
  • dc.date.issued 2019
  • dc.description Includes supplementary materials: online appendix; replication file
  • dc.description.abstract Real-time neurofeedback enables human subjects to learn to regulate their brain activity, effecting behavioral changes and improvements of psychiatric symptomatology. Neurofeedback up-regulation and down-regulation have been assumed to share common neural correlates. Neuropsychiatric pathology and aging incur suboptimal functioning of the default mode network. Despite the exponential increase in real-time neuroimaging studies, the effects of aging, pathology and the direction of regulation on neurofeedback performance remain largely unknown. Using real-time fMRI data shared through the Rockland Sample Real-Time Neurofeedback project (N = 136) and open-access analyses, we first modeled neurofeedback performance and learning in a group of subjects with psychiatric history (na = 74) and a healthy control group (nb = 62). Subsequently, we examined the relationship between up-regulation and down-regulation learning, the relationship between age and neurofeedback performance in each group and differences in neurofeedback performance between the two groups. For interpretative purposes, we also investigated functional connectomics prior to neurofeedback. Results show that in an initial session of default mode network neurofeedback with real-time fMRI, up-regulation and down-regulation learning scores are negatively correlated. This finding is related to resting state differences in the eigenvector centrality of the posterior cingulate cortex. Moreover, age correlates negatively with default mode network neurofeedback performance, only in absence of psychiatric history. Finally, adults with psychiatric history outperform healthy controls in default mode network up-regulation. Interestingly, the performance difference is related to no up-regulation learning in controls. This finding is supported by marginally higher default mode network centrality during resting state, in the presence of psychiatric history.
  • dc.description.sponsorship This work was supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie action grant agreement No 707730, the Foundation for Research in Science and the Humanities at the University of Zurich (STWF-17-012), the Baugarten Stiftung, and the Swiss National Science Foundation (BSSG10_155915, 32003B_166566). Principal support for the Rockland Sample Real-Time Neurofeedback project was provided by the NIMH BRAINS R01-MH101555 (PI Craddock). The authors thank Cameron Craddock for insightful discussions. The authors declare no competing financial interests.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Skouras S, Scharnowski F. The effects of psychiatric history and age on self-regulation of the default mode network. NeuroImage. 2019 Sep;198:150-9. DOI: 10.1016/j.neuroimage.2019.05.008
  • dc.identifier.doi http://dx.doi.org/10.1016/j.neuroimage.2019.05.008
  • dc.identifier.issn 1053-8119
  • dc.identifier.uri http://hdl.handle.net/10230/55281
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof NeuroImage. 2019 Sep;198:150-9
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/707730
  • dc.rights © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
  • dc.subject.keyword Learning
  • dc.subject.keyword Neurofeedback
  • dc.subject.keyword Rt-fMRI
  • dc.subject.keyword ECM
  • dc.title The effects of psychiatric history and age on self-regulation of the default mode network
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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