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1.
Mult Scler ; 28(12): 1903-1912, 2022 10.
Article in English | MEDLINE | ID: mdl-35723278

ABSTRACT

OBJECTIVE: Quantification of brain injury in patients with variable disability despite similar disease duration may be relevant to identify the mechanisms underlying disability in multiple sclerosis (MS). We aimed to compare grey-matter sodium abnormalities (GMSAs), a parameter reflecting neuronal and astrocyte dysfunction, in MS patients with benign multiple sclerosis (BMS) and non-benign multiple sclerosis (NBMS). METHODS: We identified never-treated BMS patients in our local MS database of 1352 patients. A group with NBMS was identified with same disease duration. All participants underwent 23Na magnetic resonance imaging (MRI). The existence of GMSA was detected by statistical analysis. RESULTS: In total, 102 individuals were included (21 BMS, 25 NBMS and 56 controls). GMSA was detected in 10 BMS and 19 NBMS (11/16 relapsing-remitting multiple sclerosis (RRMS) and 8/9 secondary progressive multiple sclerosis (SPMS) patients) (p = 0.05). On logistic regression including the presence or absence of GMSA, thalamic volume, cortical grey-matter volume and T2-weighted lesion load, thalamic volume was independently associated with BMS status (odds ratio (OR) = 0.64 for each unit). Nonetheless, the absence of GMSA was independently associated when excluding patients with significant cognitive alteration (n = 7) from the BMS group (OR = 4.6). CONCLUSION: Detection of GMSA in individuals and thalamic volume are promising to differentiate BMS from NBMS as compared with cortical or whole grey-matter atrophy and T2-weighted lesions.


Subject(s)
Multiple Sclerosis, Chronic Progressive , Multiple Sclerosis, Relapsing-Remitting , Multiple Sclerosis , Biomarkers , Brain/pathology , Gray Matter/pathology , Humans , Magnetic Resonance Imaging/methods , Multiple Sclerosis/pathology , Multiple Sclerosis, Chronic Progressive/diagnosis , Sodium
2.
Mult Scler ; 25(1): 39-47, 2019 01.
Article in English | MEDLINE | ID: mdl-29064346

ABSTRACT

BACKGROUND: Increase of brain total sodium concentrations (TSC) is present in multiple sclerosis (MS), but its pathological involvement has not been assessed yet. OBJECTIVE: To determine in vivo the metabolic counterpart of brain sodium accumulation. MATERIALS/METHODS: Whole brain 23Na-MR imaging and 3D-1H-EPSI data were collected in 21 relapsing-remitting multiple sclerosis (RRMS) patients and 20 volunteers. Metabolites and sodium levels were extracted from several regions of grey matter (GM), normal-appearing white matter (NAWM) and white matter (WM) T2 lesions. Metabolic and ionic levels expressed as Z-scores have been averaged over the different compartments and used to explain sodium accumulations through stepwise regression models. RESULTS: MS patients showed significant 23Na accumulations with lower choline and glutamate-glutamine (Glx) levels in GM; 23Na accumulations with lower N-acetyl aspartate (NAA), Glx levels and higher Myo-Inositol (m-Ins) in NAWM; and higher 23Na, m-Ins levels with lower NAA in WM T2 lesions. Regression models showed associations of TSC increase with reduced NAA in GM, NAWM and T2 lesions, as well as higher total-creatine, and smaller decrease of m-Ins in T2 lesions. GM Glx levels were associated with clinical scores. CONCLUSION: Increase of TSC in RRMS is mainly related to neuronal mitochondrial dysfunction while dysfunction of neuro-glial interactions within GM is linked to clinical scores.


Subject(s)
Gray Matter/metabolism , Multiple Sclerosis, Relapsing-Remitting/metabolism , Sodium/metabolism , White Matter/metabolism , Adult , Female , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Multiple Sclerosis, Relapsing-Remitting/diagnostic imaging , Proton Magnetic Resonance Spectroscopy , White Matter/diagnostic imaging , White Matter/pathology , Young Adult
3.
Sci Rep ; 8(1): 4357, 2018 03 12.
Article in English | MEDLINE | ID: mdl-29531255

ABSTRACT

Sodium (23Na) MRI proffers the possibility of novel information for neurological research but also particular challenges. Uncertainty can arise in in vivo 23Na estimates from signal losses given the rapidity of T2* decay due to biexponential relaxation with both short (T2*short) and long (T2*long) components. We build on previous work by characterising the decay curve directly via multi-echo imaging at 7 T in 13 controls with the requisite number, distribution and range to assess the distribution of both in vivo T2*short and T2*long and in variation between grey and white matter, and subregions. By modelling the relationship between signal and reference concentration and applying it to in vivo 23Na-MRI signal, 23Na concentrations and apparent transverse relaxation times of different brain regions were measured for the first time. Relaxation components and concentrations differed substantially between regions of differing tissue composition, suggesting sensitivity of multi-echo 23Na-MRI toward features of tissue composition. As such, these results raise the prospect of multi-echo 23Na-MRI as an adjunct source of information on biochemical mechanisms in both physiological and pathophysiological states.


Subject(s)
Brain/physiology , Magnetic Resonance Imaging/methods , Sodium/analysis , Adult , Female , Gray Matter/chemistry , Humans , Male , Sodium/chemistry , White Matter/chemistry , Young Adult
4.
Neurology ; 88(3): 289-295, 2017 Jan 17.
Article in English | MEDLINE | ID: mdl-27974643

ABSTRACT

OBJECTIVE: To investigate whether brain total sodium accumulation assessed by 23Na MRI is associated with cognitive deficit in relapsing-remitting multiple sclerosis (RRMS). METHODS: Eighty-nine participants were enrolled in the study (58 patients with RRMS with a disease duration ≤10 years and 31 matched healthy controls). Patients were classified as cognitively impaired if they failed at least 2 tasks on the Brief Repeatable Battery. MRI was performed at 3T using 23Na MRI to obtain total sodium concentration (TSC) in the different brain compartments (lesions, normal-appearing white matter [NAWM], gray matter [GM]) and 1H- magnetization-prepared rapid gradient echo to assess GM atrophy (GM fraction). RESULTS: The mean disease duration was 3.1 years and the median Expanded Disability Status Scale score was 1 (range 0-4.5). Thirty-seven patients were classified as cognitively preserved and 21 as cognitively impaired. TSC was increased in GM and NAWM in cognitively impaired patients compared to cognitively preserved patients and healthy controls. Voxel-wise analysis demonstrated that sodium accumulation was mainly located in the neocortex in cognitively impaired patients. Regression analysis evidenced than the 2 best independent predictors of cognitive impairment were GM TSC and age. Receiver operating characteristic analyses demonstrated that sensitivity and specificity of the GM TSC to classify patients according to their cognitive status were 76% and 71%, respectively. CONCLUSIONS: This study provides 2 main findings. (1) In RRMS, total sodium accumulation in the GM is better associated with cognitive impairment than GM atrophy; and (2) total sodium accumulation in patients with cognitive impairment is mainly located in the neocortex.


Subject(s)
Cognition Disorders/etiology , Gray Matter/metabolism , Multiple Sclerosis, Relapsing-Remitting/complications , Sodium/metabolism , Adult , Atrophy/etiology , Atrophy/pathology , Case-Control Studies , Disability Evaluation , Disease Progression , Female , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Multiple Sclerosis, Relapsing-Remitting/diagnostic imaging , Neuropsychological Tests , Statistics, Nonparametric , Tritium/metabolism
5.
J Magn Reson Imaging ; 44(2): 411-9, 2016 08.
Article in English | MEDLINE | ID: mdl-26756662

ABSTRACT

PURPOSE: To detect local metabolic abnormalities over the complete human brain in multiple sclerosis (MS) patients, we used optimized fast volumic echo planar spectroscopic imaging (3D-EPSI). MATERIALS AND METHODS: Weighted mean combination of two 3D-EPSI covering the whole brain acquired at 3T in AC-PC and AC-PC+15° axial planes was performed to obtain high-quality metabolite maps for five metabolites: N-acetyl aspartate (NAA), glutamate+glutamine (Glx), choline (Cho), myo-inositol (m-Ins), and creatine+phosphocreatine (tCr). After spatial normalization, maps from 19 patients suffering from relapsing-remitting MS were compared to 19 matched controls using statistical mapping analyses to determine the topography of metabolic abnormalities. Probabilistic white matter (WM) T2 lesion maps and gray matter (GM) atrophy maps were also generated. RESULTS: Two-group analysis of variance (ANOVA) (SPM8, P < 0.005, false discovery rate [FDR]-corrected P < 0.05 at the cluster level with age and sex as confounding covariates) comparing patients and controls matched for age and sex showed clusters of abnormal metabolite levels with 1) decreased NAA (around -15%) and Glx (around 20%) predominantly in GM within prefrontal cortices, motor cortices, bilateral thalami, and mesial temporal cortices in line with neuronal/neuro-astrocytic dysfunction; 2) increased m-Ins (around + 20%) inside WM T2 lesions and in the normal-appearing WM of temporal-occipital lobes, suggesting glial activation. CONCLUSION: We demonstrate the ability to noninvasively map over the complete brain-from vertex to cerebellum-with a validated sequence, the metabolic abnormalities associated with MS, for characterizing the topography of pathological processes affecting widespread areas of WM and GM and its functional impact. J. Magn. Reson. Imaging 2016;44:411-419.


Subject(s)
Brain/diagnostic imaging , Brain/metabolism , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Magnetic Resonance Spectroscopy/methods , Multiple Sclerosis/diagnostic imaging , Multiple Sclerosis/metabolism , Adult , Biomarkers/metabolism , Feasibility Studies , Female , Humans , Image Enhancement/methods , Image Interpretation, Computer-Assisted/methods , Male , Middle Aged , Molecular Imaging/methods , Observer Variation , Reproducibility of Results , Sensitivity and Specificity , Signal Processing, Computer-Assisted , Tissue Distribution , Young Adult
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