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
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users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
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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