: In this study, we aimed to explore the extent and clinical relevance of brain volume dynamics in relapsing remitting multiple sclerosis (RRMS). : Sixty-three patients with RRMS with a disease duration of about 5 years (36 women, mean age 39.9 ± 9.4 years; mean EDSS1.4 ± 1.2, mean relapse rate 0.98 ± 1.17) and 50 healthy control individuals (24 women, mean age 39.1 ± 10.2 years) were recruited and imaged on a MRI scanner by using post-gadolinium high-resolution3D T1W sequences. Cross-sectional and longitudinal volumetric data were obtained by using SIENA(X) and FIRST software. : Patients showed significantly lower subcortical volumes compared to healthy controls. Interestingly, the educational level predicted the rate of right thalamus atrophy. The mean annualized percentage of brain volume change (aPBVC) was -0.92% (±1.64%) and was presented in higher rates during the first five years after MS diagnosis. : Brain atrophy mainly involved subcortical grey matter structures and was more conspicuous during the first years of MS diagnosis. The buffering role of education in atrophy was also corroborated by this study.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/01616412.2019.1637041 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[The relationship between neuropsychological indicators and neuroimaging changes according to MRI morphometry in patients with Alzheimer's disease and glaucoma].
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Federal Center of Brain Research and Neurotechnologies, Moscow, Russia.
Objective: Study of neuroimaging changes according to MRI morphometry and their comparison with the structure and severity of cognitive impairment (CI) in patients with Alzheimer's disease (AD) and primary open-angle glaucoma (POAG).
Material And Methods: The study involved 90 patients who were divided into two equal groups of 45 people and who early had diagnosis of AD (group 1; median age - 71 [66; 77] years) and POAG (group 2; median age - 68 [64; 77] years). 71] years).
Intraoperative variations in intra-axial brain tumor size after craniotomy: a prospective study with histopathological and tumor tissue composition correlation, introducing concepts of tumor expansion and tumor surfacing.
Neurosurg Rev
December 2024
Department of Neurosurgery, Neurosurgery Clinic, Birgunj, Nepal.
Intraoperative assessment of tumor margins can be challenging; as neoplastic cells may extend beyond the margins seen on preoperative imaging. Real-time intraoperative ultrasonography (IOUS) has emerged as a valuable tool for delineating tumor boundaries during surgery. However, concerns remain regarding its ability to accurately distinguish between tumor margins, peritumoral edema, and normal brain tissue.
View Article and Find Full Text PDFStructural inequality linked to brain volume and network dynamics in aging and dementia across the Americas.
Nat Aging
December 2024
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequality (country-level and state-level Gini indices) and brain volume and connectivity in 2,135 healthy controls, and individuals with Alzheimer's disease and frontotemporal lobe degeneration from Latin America and the United States.
View Article and Find Full Text PDFThe eSAH score: a simple practical predictive model for SAH mortality and outcomes.
Sci Rep
December 2024
Department of Neurology, Mayo Clinic, Jacksonville, MN, USA.
We developed a simple quantifiable scoring system that predicts aneurysmal subarachnoid hemorrhage (aSAH) mortality, delayed cerebral ischemia (DCI), and modified Rankin scale (mRS) outcomes using readily available SAH admission data with SAH volume (SAHV) measured on computed tomography (CT). We retrospectively analyzed a cohort of 277 patients with aSAH admitted at our Comprehensive Stroke Center at Mayo Clinic in Jacksonville, Florida, between January 5, 2012, and February 24, 2022. We developed a mathematical radiographic model SAHV that measures basal cisternal SAH blood volume using a derivation of the ABC/2 ellipsoid formula (A = width/thickness, B = length, C = vertical extension) on noncontrast CT, which we previously demonstrated is comparable to pixel-based manual segmentation on noncontrast CT.
View Article and Find Full Text PDFPredicting Post-Operative Side Effects in VIM MRgFUS Based on THalamus Optimized Multi Atlas Segmentation (THOMAS) on White-Matter-Nulled MRI: A Retrospective Study.
AJNR Am J Neuroradiol
December 2024
From the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California
Background And Purpose: Precise and individualized targeting of the ventral intermediate thalamic nucleus for the MR-guided focused ultrasound is crucial for enhancing treatment efficacy and avoiding undesirable side effects. In this study, we tested the hypothesis that the spatial relationships between Thalamus Optimized Multi Atlas Segmentation derived segmentations and the post-focused ultrasound lesion can predict post-operative side effects in patients treated with MR-guided focused ultrasound.
Materials And Methods: We retrospectively analyzed 30 patients (essential tremor, n = 26; tremor-dominant Parkinson's disease, n = 4) who underwent unilateral ventral intermediate thalamic nucleus focused ultrasound treatment.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!