UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis

Zhuo, Zhizheng; Zhang, Ningnannan; Ao, Feng; Hua, Tiantian; Duan, Yunyun; Xu, Xiaolu; Weng, Jinyuan; ... Liu, Yaou; + view all (2024) Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis. European Radiology 10.1007/s00330-024-11157-w. (In press).

[thumbnail of Barkhof_Zhou - Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis - Eur_Radiol_.pdf] Text
Barkhof_Zhou - Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis - Eur_Radiol_.pdf
Access restricted to UCL open access staff until 30 October 2025.

Download (290kB)

Abstract

Objectives: We aimed to characterize the brain abnormalities that are associated with the cognitive and physical performance of patients with relapsing-remitting multiple sclerosis (RRMS) using a deep learning algorithm. // Materials and methods: Three-dimensional (3D) nnU-Net was employed to calculate a novel spatial abnormality map by T1-weighted images and 281 RRMS patients (Dataset-1, male/female = 101/180, median age [range] = 35.0 [17.0, 65.0] years) were categorized into subtypes. Comparison of clinical and MRI features between RRMS subtypes was conducted by Kruskal–Wallis test. Kaplan–Meier analysis was conducted to investigate disability progression in RRMS subtypes. Additional validation using two other RRMS datasets (Dataset-2, n = 33 and Dataset-3, n = 56) was conducted. // Results: Five RRMS subtypes were identified: (1) a Frontal-I subtype showing preserved cognitive performance and mild physical disability, and low risk of disability worsening; (2) a Frontal-II subtype showing low cognitive scores and severe physical disability with significant brain volume loss, and a high propensity for disability worsening; (3) a temporal-cerebellar subtype demonstrating lowest cognitive scores and severest physical disability among all subtypes but remaining relatively stable during follow-up; (4) an occipital subtype demonstrating similar clinical and imaging characteristics as the Frontal-II subtype, except a large number of relapses at baseline and preserved cognitive performance; and (5) a subcortical subtype showing preserved cognitive performance and low physical disability but a similar prognosis as the occipital and Frontal-II subtypes. Additional validation confirmed the above findings. // Conclusion: Spatial abnormality maps can explain heterogeneity in cognitive and physical performance in RRMS and may contribute to stratified management.

Type: Article
Title: Spatial structural abnormality maps associated with cognitive and physical performance in relapsing-remitting multiple sclerosis
Location: Germany
DOI: 10.1007/s00330-024-11157-w
Publisher version: https://doi.org/10.1007/s00330-024-11157-w
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Relapsing-remitting multiple sclerosis; deep learning; brain abnormality; cognition; disability
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery.ucl.ac.uk/id/eprint/10204759
Downloads since deposit
2Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item