eprintid: 10172073 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/17/20/73 datestamp: 2023-06-16 14:16:59 lastmod: 2023-06-16 14:16:59 status_changed: 2023-06-16 14:16:59 type: article metadata_visibility: show sword_depositor: 699 creators_name: Whiteside, David J creators_name: Street, Duncan creators_name: Murley, Alexander G creators_name: Jones, P Simon creators_name: Malpetti, Maura creators_name: Ghosh, Boyd CP creators_name: Coyle-Gilchrist, Ian creators_name: Gerhard, Alexander creators_name: Hu, Michele T creators_name: Klein, Johannes C creators_name: Leigh, P Nigel creators_name: Church, Alistair creators_name: Burn, David J creators_name: Morris, Huw R creators_name: Rowe, James B creators_name: Rittman, Timothy title: Network connectivity and structural correlates of survival in progressive supranuclear palsy and corticobasal syndrome ispublished: inpress divisions: UCL divisions: B02 divisions: C07 divisions: D07 divisions: F84 keywords: Connectivity, corticobasal syndrome, fMRI, prediction, progressive supranuclear palsy, survival, tauopathies note: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ abstract: There is a pressing need to understand the factors that predict prognosis in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), with high heterogeneity over the poor average survival. We test the hypothesis that the magnitude and distribution of connectivity changes in PSP and CBS predict the rate of progression and survival time, using datasets from the Cambridge Centre for Parkinson-plus and the UK National PSP Research Network (PROSPECT-MR). Resting-state functional MRI images were available from 146 participants with PSP, 82 participants with CBS, and 90 healthy controls. Large-scale networks were identified through independent component analyses, with correlations taken between component time series. Independent component analysis was also used to select between-network connectivity components to compare with baseline clinical severity, longitudinal rate of change in severity, and survival. Transdiagnostic survival predictors were identified using partial least squares regression for Cox models, with connectivity compared to patients' demographics, structural imaging, and clinical scores using five-fold cross-validation. In PSP and CBS, between-network connectivity components were identified that differed from controls, were associated with disease severity, and were related to survival and rate of change in clinical severity. A transdiagnostic component predicted survival beyond demographic and motion metrics but with lower accuracy than an optimal model that included the clinical and structural imaging measures. Cortical atrophy enhanced the connectivity changes that were most predictive of survival. Between-network connectivity is associated with variability in prognosis in PSP and CBS but does not improve predictive accuracy beyond clinical and structural imaging metrics. date: 2023-06-03 date_type: published official_url: https://doi.org/10.1002/hbm.26342 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2029680 doi: 10.1002/hbm.26342 lyricists_name: Morris, Huw lyricists_id: HRMOR79 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner funding_acknowledgements: MC_UU_00030/14 [Medical Research Council]; MR/T033371/1 [Medical Research Council]; 220258 [Wellcome Trust] full_text_status: public publication: Human Brain Mapping event_location: United States citation: Whiteside, David J; Street, Duncan; Murley, Alexander G; Jones, P Simon; Malpetti, Maura; Ghosh, Boyd CP; Coyle-Gilchrist, Ian; ... Rittman, Timothy; + view all <#> Whiteside, David J; Street, Duncan; Murley, Alexander G; Jones, P Simon; Malpetti, Maura; Ghosh, Boyd CP; Coyle-Gilchrist, Ian; Gerhard, Alexander; Hu, Michele T; Klein, Johannes C; Leigh, P Nigel; Church, Alistair; Burn, David J; Morris, Huw R; Rowe, James B; Rittman, Timothy; - view fewer <#> (2023) Network connectivity and structural correlates of survival in progressive supranuclear palsy and corticobasal syndrome. Human Brain Mapping 10.1002/hbm.26342 <https://doi.org/10.1002/hbm.26342>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10172073/1/Human%20Brain%20Mapping%20-%202023%20-%20Whiteside%20-%20Network%20connectivity%20and%20structural%20correlates%20of%20survival%20in%20progressive.pdf