ArticleJournal of the neurological sciences2012
Human brain atlas-based multimodal MRI analysis of volumetry, diffusimetry, relaxometry and lesion distribution in multiple sclerosis patients and healthy adult controls: implications for understanding the pathogenesis of multiple sclerosis and consolidation of quantitative MRI results in MS.
Article in Journal of the neurological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed, 49 citations in OpenAlex.
- Comparison of ectopic versus normal gray matter via quantitative magnetic resonance imaging: a cross-sectional study.Quantitative imaging in medicine and surgery · 2025Article
- BMSCs differentiated into neurons, astrocytes and oligodendrocytes alleviated the inflammation and demyelination of EAE mice models.PloS one · 2021Article
- Data-Driven Machine-Learning Quantifies Differences in the Voiding Initiation Network in Neurogenic Voiding Dysfunction in Women With Multiple Sclerosis.International neurourology journal · 2019Article
- A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2019Article
- A Review of Herbal Therapy in Multiple Sclerosis.Advanced pharmaceutical bulletin · 2018Review
- SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.Investigative radiology · 2017Review
- Comparison of two quantitative proton density mapping methods in multiple sclerosis.Magma (New York, N.Y.) · 2017Article
- Longitudinal MR spectroscopy of neurodegeneration in multiple sclerosis with diffusion of the intra-axonal constituentNeuroImage. Clinical · 2017Article
- Altered Microstructural Caudate Integrity in Posttraumatic Stress Disorder but Not Traumatic Brain Injury.PloS one · 2017Article
- The Role of T1-Weighted Derived Measures of Neurodegeneration for Assessing Disability Progression in Multiple Sclerosis.Frontiers in neurology · 2017Review
- Changes and variability of proton density and T1 relaxation times in early multiple sclerosis: MRI markers of neuronal damage in the cerebral cortex.European radiology · 2016Article
- Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis.NeuroImage. Clinical · 2016Article
- Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines.Psychiatry research · 2015Article
- Quantitative MR Imaging of Brain Tissue and Brain Pathologies.Clinical neuroradiology · 2015Review
- Structural Image Analysis of the Brain in Neuropsychology Using Magnetic Resonance Imaging (MRI) Techniques.Neuropsychology review · 2015Review
- Disconnection of the hippocampus and amygdala associated with lesion load in relapsing-remitting multiple sclerosis: a structural and functional connectivity study.Neuropsychiatric disease and treatment · 2015Article
- Effects of gadolinium contrast agent administration on automatic brain tissue classification of patients with multiple sclerosis.AJNR. American journal of neuroradiology · 2014Article
- Transplantation of human adipose-derived stem cells enhances remyelination in lysolecithin-induced focal demyelination of rat spinal cord.Molecular biotechnology · 2014Article
- Subcortical deep gray matter pathology in patients with multiple sclerosis is associated with white matter lesion burden and atrophy but not with cortical atrophy: a diffusion tensor MRI study.AJNR. American journal of neuroradiology · 2014Article
- Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging".International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2014Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Multiple sclerosis (MS) is the most common immune-mediated disabling neurological disease of the central nervous system. The pathogenesis of MS is not fully understood. Histopathology implicates both demyelination and axonal degeneration as the major contributors to the accumulation of disability. The application of several in vivo quantitative magnetic resonance imaging (MRI) methods to both lesioned and normal-appearing brain tissue has not yet provided a solid conclusive support of the hypothesis that MS might be a diffuse disease. In this work, we adopted FreeSurfer to provide standardized macrostructure or volumetry of lesion free normal-appearing brain tissue in combination with multiple quantitative MRI metrics (T(2) relaxation time, diffusion tensor anisotropy and diffusivities) that characterize tissue microstructural integrity. By incorporating a large number of healthy controls, we have attempted to separate the natural age-related change from the disease-induced effects. Our work shows elevation in diffusivity and relaxation times and reduction in volume in a number of normal-appearing white matter and gray matter structures in relapsing-remitting multiple sclerosis patients. These changes were related in part with the spatial distribution of lesions. The whole brain lesion load and age-adjusted expanded disability status score showed strongest correlations in regions such as corpus callosum with qMRI metrics that are believed to be specific markers of axonal dysfunction, consistent with histologic data of others indicating axonal loss that is independent of focal lesions. Our results support that MS at least in part has a neurodegenerative component.
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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.