ArticleNeuroImage. Clinical2015
Predictive value of different conventional and non-conventional MRI-parameters for specific domains of cognitive function in multiple sclerosis.
Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Iron accumulation in multiple sclerosis and implications for cognitive and clinical progression: a systematic review of advanced neuroimaging studies.Journal of neurology · 2026Pooled it
- Predictors of multiple sclerosis progression: A systematic review of conventional magnetic resonance imaging studies.PloS one · 2024Pooled it
- Pooled it
- Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes.Neurology and therapy · 2022Review
- Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.Brain communications · 2022Review
- Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis.Brain sciences · 2021Review
- Neuropsychiatric Symptoms of Multiple Sclerosis: State of the Art.Psychiatry investigation · 2019Article
- Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment.Journal of neurology · 2019Article
- Review
- The Rationale for Monitoring Cognitive Function in Multiple Sclerosis: Practical Issues for Clinicians.The open neurology journal · 2018Review
- Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.NeuroImage. Clinical · 2018Article
- Multimodal magnetic resonance imaging in relation to cognitive impairment in neuromyelitis optica spectrum disorder.Scientific reports · 2017Article
- Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2017Article
- 3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model.Computer methods and programs in biomedicine · 2016Article
- Appraising the Role of Iron in Brain Aging and Cognition: Promises and Limitations of MRI Methods.Neuropsychology review · 2015Review
- Cognitive Reserve as a Useful Concept for Early Intervention Research in Multiple Sclerosis.Frontiers in neurology · 2015Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWhile 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.
methods69 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).
resultsRegression 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.
conclusionsThe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.