Brain volume loss can predict cognitive impairments by neuropsychological battery in a cross-sectional study of Chinese patients with multiple sclerosis
Refereed conference paper presented and published in conference proceedings

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AbstractBackground: Brain volume loss (BVL) has become an important biomarker for neurodegeneration in multiple sclerosis (MS). We investigated whether a fully automatic brain volume analysis can predict cognitive impairments by detailed neuropsychological tests.
Methods: We identified subjects from the prospective Chinese University of Hong Kong Multiple Sclerosis Registry who completed a standardized MRI brain and a 45-minute neuropsychological battery. Brain volume was calculated by the 3D T1 sequence by AccuBrain (, a fully-automated brain segmentation measurement tool. Multiple cognitive impairments was defined as >=3 domain deficits in: verbal learning and memory, processing speed, selective attention, executive function, visual perception, simple auditory attention span, and auditory working memory. A cut-off of less than 5th percentile of brain parenchymal fraction (BPF) of published nomogram was used to define ‘significant’ BVL.
Results: Twenty-six MS subjects (22[85%] females, 23 relapsing MS, 2 clinically isolated syndrome, and 1 secondary progressive MS) were recruited. 18(69%) subjects had significant BVL. The mean age was 35.3+/-9.2 years and median EDSS was 2.75 (interquartile range: 1.00-3.50). Cognitive-impaired subjects (>=3 domains) had lower mean BPF (71.03 vs.72.91, p=0.005). BVL significantly correlated with impaired cognition (r=-0.658, p<0.001). BPF correlated with verbal learning and memory (r=0.421, p=0.032), processing speed (r=0.575, p=0.002), and selective attention (r=0.637, p<0.001). WMH correlated with verbal memory (r=-0.438, p=0.042) and visual perception (r=- 0.611, p=0.003). Hippocampal volume correlated with auditory attention (r=0.425, p=0.03) and auditory working memory (r=0.581, p=0.002).
Discussion: Worsening BVL measured by an automatic tool strongly correlated with multiple cognitive impairments among MS patients.
All Author(s) ListNg A, Au C, Wong A, Abrigo J, Shi L, Chen QY, Mok V, Lau A
Name of Conference11th Congress of the Pan-Asian-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (PACTRIMS)
Start Date of Conference01/11/2018
End Date of Conference03/11/2018
Place of ConferenceSydney
Country/Region of ConferenceAustralia
Series TitleTwo Minute Oral Presentation of Selected Posters
Volume Number25
Issue Number3
Article numberO-16
Pages442 - 443
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesClinical Neurology;Neurosciences;Neurosciences & Neurology

Last updated on 2020-28-06 at 03:10