ArticleNeuroImage. Clinical2015
Detection and quantification of regional cortical gray matter damage in multiple sclerosis utilizing gradient echo MRI.
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 23 papers.
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Who cites it
23 citing papers in PubMed, 31 citations in OpenAlex.
- Exercise induces structural brain changes and elevates irisin levels and enhances functional performance in multiple sclerosis a pilot randomized study.Scientific reports · 2026Trial
- AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan.Journal of magnetic resonance imaging : JMRI · 2026Article
- AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) - a Comprehensive Multiparametric Neurological Protocol from a Single MRI Scan.medRxiv : the preprint server for health sciences · 2026Article
- Platelet-to-high-density lipoprotein cholesterol ratio as a potential mediator in the obesity-chronic kidney disease association among hypertensive patients.Renal failure · 2025Article
- Increased periventricular thalamic damage gradient in multiple sclerosis detected by quantitative gradient echo MRI.Multiple sclerosis and related disorders · 2024Article
- Quantitative gradient recalled echo (qGRE) MRI enables in vivo measurement of pre-atrophic neurodegeneration in a mouse model of Alzheimer's disease.NeuroImage · 2024Article
- Cerebrospinal Fluid-In Gradient of Cortical and Deep Gray Matter Damage in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2024Article
- Quantitative MRI identifies lesional and non-lesional abnormalities in MOGAD.Multiple sclerosis and related disorders · 2023Article
- Stronger Microstructural Damage Revealed in Multiple Sclerosis Lesions With Central Vein Sign by Quantitative Gradient Echo MRI.Journal of central nervous system disease · 2022Article
- Cortical quantitative MRI parameters are related to the cognitive status in patients with relapsing-remitting multiple sclerosis.European radiology · 2020Article
- Voxel-based analysis of gray matter relaxation rates shows different correlation patterns for cognitive impairment and physical disability in relapsing-remitting multiple sclerosis.NeuroImage. Clinical · 2020Article
- A Novel Gradient Echo Plural Contrast Imaging Method Detects Brain Tissue Abnormalities in Patients With TBI Without Evident Anatomical Changes on Clinical MRI: A Pilot Study.Military medicine · 2019Article
- Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment.Journal of neurology · 2019Article
- Single scan quantitative gradient recalled echo MRI for evaluation of tissue damage in lesions and normal appearing gray and white matter in multiple sclerosis.Journal of magnetic resonance imaging : JMRI · 2019Article
- Comparison of reconstruction and acquisition choices for quantitative T2* maps and synthetic contrasts.European journal of radiology open · 2019Article
- Brain imaging of locomotion in neurological conditions.Neurophysiologie clinique = Clinical neurophysiology · 2018Review
- Estriol-mediated neuroprotection in multiple sclerosis localized by voxel-based morphometry.Brain and behavior · 2018Article
- Silent Free Fall at Disease Onset: A Perspective on Therapeutics for Progressive Multiple Sclerosis.Frontiers in neurology · 2018Review
- Simultaneous multi-angular relaxometry of tissue with MRI (SMART MRI): Theoretical background and proof of concept.Magnetic resonance in medicine · 2017Article
- In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging.NeuroImage · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Cortical gray matter (GM) damage is now widely recognized in multiple sclerosis (MS). The standard MRI does not reliably detect cortical GM lesions, although cortical volume loss can be measured. In this study, we demonstrate that the gradient echo MRI can reliably and quantitatively assess cortical GM damage in MS patients using standard clinical scanners. High resolution multi-gradient echo MRI was used for regional mapping of tissue-specific MRI signal transverse relaxation rate values (R2(*)) in 10 each relapsing-remitting, primary-progressive and secondary-progressive MS subjects. A voxel spread function method was used to correct artifacts induced by background field gradients. R2(*) values from healthy controls (HCs) of varying ages were obtained to establish baseline data and calculate ΔR2(*) values - age-adjusted differences between MS patients and HC. Thickness of cortical regions was also measured in all subjects. In cortical regions, ΔR2(*) values of MS patients were also adjusted for changes in cortical thickness. Symbol digit modalities (SDMT) and paced auditory serial addition (PASAT) neurocognitive tests, as well as Expanded Disability Status Score, 25-foot timed walk and nine-hole peg test results were also obtained on all MS subjects. We found that ΔR2(*) values were lower in multiple cortical GM and normal appearing white matter (NAWM) regions in MS compared with HC. ΔR2(*) values of global cortical GM and several specific cortical regions showed significant (p < 0.05) correlations with SDMT and PASAT scores, and showed better correlations than volumetric measures of the same regions. Neurological tests not focused on cognition (Expanded Disability Status Score, 25-foot timed walk and nine-hole peg tests) showed no correlation with cortical GM ΔR2(*) values. The technique presented here is robust and reproducible. It requires less than 10 min and can be implemented on any MRI scanner. Our results show that quantitative tissue-specific R2(*) values can serve as biomarkers of tissue injury due to MS in the brain, including the cerebral cortex, an area that has been difficult to evaluate using standard MRI.
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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.