Medizinische Universität Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid

Pinter, D; Khalil, M; Pichler, A; Langkammer, C; Ropele, S; Marschik, PB; Fuchs, S; Fazekas, F; Enzinger, C.
Predictive value of different conventional and non-conventional MRI-parameters for specific domains of cognitive function in multiple sclerosis.
Neuroimage Clin. 2015; 7(4):715-720 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Authors Med Uni Graz:
Enzinger Christian
Fazekas Franz
Fuchs Siegrid
Khalil Michael
Langkammer Christian
Marschik Peter
Pichler Alexander
Pinter Daniela Theresia
Ropele Stefan
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
While many studies correlated cognitive function with changes in brain morphology in multiple sclerosis (MS), few of them used a multi-parametric approach in a single dataset so far. We thus here assessed the predictive value of different conventional and quantitative MRI-parameters both for overall and domain-specific cognitive performance in MS patients from a single center. 69 patients (17 clinically isolated syndrome, 47 relapsing-remitting MS, 5 secondary-progressive MS) underwent the "Brief Repeatable Battery of Neuropsychological Tests" assessing overall cognition, cognitive efficiency and memory function as well as MRI at 3 Tesla to obtain T2-lesion load (T2-LL), normalized brain volume (global brain volume loss), normalized cortical volume (NCV), normalized thalamic volume (NTV), normalized hippocampal volume (NHV), normalized caudate nuclei volume (NCNV), basal ganglia R2* values (iron deposition) and magnetization transfer ratios (MTRs) for cortex and normal appearing brain tissue (NABT). Regression models including clinical, demographic variables and MRI-parameters explained 22-27% of variance of overall cognition, 17-26% of cognitive efficiency and 22-23% of memory. NCV, T2-LL and MTR of NABT were the strongest predictors of overall cognitive function. Cognitive efficiency was best predicted by NCV, T2-LL and iron deposition in the basal ganglia. NTV was the strongest predictor for memory function and NHV was particularly related to memory function. The predictive value of distinct MRI-parameters differs for specific domains of cognitive function, with a greater impact of cortical volume, focal and diffuse white matter abnormalities on overall cognitive function, an additional role of basal ganglia iron deposition on cognitive efficiency, and thalamic and hippocampal volume on memory function. This suggests the usefulness of using multiparametric MRI to assess (micro)structural correlates of different cognitive constructs.
Find related publications in this database (using NLM MeSH Indexing)
Adult -
Cognition Disorders - diagnosis
Female -
Humans -
Image Interpretation, Computer-Assisted -
Magnetic Resonance Imaging - methods
Male -
Multiple Sclerosis - complications
Neuropsychological Tests -
Predictive Value of Tests -

Find related publications in this database (Keywords)
Cognition
Cognitive efficiency
Memory
Normalized cortical volume
Lesion load
Quantitative MRI
© Meduni GrazImprint