Regional cortical thinning, demyelination and iron loss in cerebral small vessel disease

Brain, Journal Year: 2023, Volume and Issue: 146(11), P. 4659 - 4673

Published: June 27, 2023

The link between white matter hyperintensities (WMH) and cortical thinning is thought to be an important pathway by which WMH contributes cognitive deficits in cerebral small vessel disease (SVD). However, the mechanism behind this association underlying tissue composition abnormalities are unclear. objective of study determine thickness, vivo WMH-connected regions. In cross-sectional study, we included 213 participants with SVD who underwent standardized protocol including multimodal neuroimaging scans assessment (i.e. processing speed, executive function memory). We identified cortex connected using probabilistic tractography starting from defined regions at three connectivity levels (low, medium high level). calculated myelin iron based on T1-weighted, quantitative R1, R2* susceptibility maps. used diffusion-weighted imaging estimate mean diffusivity connecting tracts. found that values were significantly lower than WMH-unconnected (all Pcorrected < 0.001). Linear regression analyses showed higher tracts related thickness (β = -0.30, 0.001), R1 -0.26, -0.32, 0.001) -0.39, level. addition, scores speed 0.20, 0.030), 0.006), 0.29, 0.006) 0.19, 0.024) level, independent volumes measures Together, our demonstrated microstructural integrity passing through regional as measured These findings indicative thinning, demyelination loss cortex, most likely disruption may contribute impairment SVD, a key clinical feature SVD. have implications for finding intervention targets treatment preventing secondary degeneration.

Language: Английский

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Thalamic microstructural alterations in cerebral small vessel disease with mild cognitive impairment: insights from diffusion kurtosis imaging

Neuroradiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

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The thalamic covariance network is associated with cognitive deficits in patients with cerebral small vascular disease

Annals of Clinical and Translational Neurology, Journal Year: 2024, Volume and Issue: 11(5), P. 1148 - 1159

Published: March 3, 2024

Abstract Objective Abnormalities in the gray matter structure of cerebral small vessel disease (CSVD) have been observed throughout brain. However, whether cortico‐cortical connections exist between regions atrophy patients with CSVD has not fully elucidated. This question was tested by comparing covariance networks and without cognitive impairment (CI). Methods We performed multivariate modeling volume measurements 61 CI (CSVD‐CI), 85 (CSVD‐NC), 108 healthy controls using source‐based morphological analysis (SBM) to obtain structural at population level. Then, correlations functions were analyzed patients. Finally, a support vector machine (SVM) classifier used network as classification feature identify among population. Results The results all subjects showed that compared controls, expression thalamic network, cerebellum calcarine cortex reduced CSVD. Moreover, CSVD‐CI significant reduction encompassing thalamus parahippocampal gyrus, relative CSVD‐NC patients, which persisted after excluding lacunes. In CSVD, positively correlated measures network. More than 80% correctly identified SVM classifier. Interpretation Our findings provide new evidence explain distribution state is core region for early during development disease, related deficits. Reduced may neuroimaging biomarker identification

Language: Английский

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Aberrant baseline brain activity and disrupted functional connectivity in patients with vascular cognitive impairment due to cerebral small vessel disease

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: July 3, 2024

Objective This study aims to examine the alterations in aberrant brain activity and network connectivity between individuals with mild major vascular cognitive impairment (VCI). Materials methods A total of 114 patients cerebral small vessel disease (CSVD) were included this study, comprising 61 VCI (mean age, 55.7 ± 6.9 years; male, 42.6%) 53 cases 57.6 5.5 58.5%). Additionally, age-, gender-, education-matched healthy subjects recruited as normal controls (NC) 54.9 7.9 52.9%). All participants underwent neuropsychological assessments magnetic resonance imaging scans. One-way analysis variance was used compare fractional amplitude low-frequency fluctuation (fALFF) values among three groups. Two-sample t-tests conducted assess functional matrices different groups for each connection. Moreover, mediation analyses performed explore mediating effect on relationship CSVD burden. Results exhibited regions such right thalamus (THA_R), cuneus (CUN_R), left postcentral gyrus (PoCG_L), (PoCG_R), median cingulate, paracingulate gyri (PCG_R), precuneus (PCUN_L). Reduced positive predominantly observed nodes including PCUN_L, CUN_R, PoCG_L, PoCG_R, posterior cingulate occipital (IOG_L) patients. The baseline disrupted more pronounced worsening function. Increased fALFF THA_R, PoCG_L mediated Conclusion Abnormal activities along their associated abnormal connections, play a significant role VCI. revealed progressive increase advancing stages

Language: Английский

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Implications of fitting a two-compartment model in single-shell diffusion MRI

Physics in Medicine and Biology, Journal Year: 2023, Volume and Issue: 68(21), P. 215012 - 215012

Published: Oct. 10, 2023

Abstract It is becoming increasingly common for studies to fit single-shell diffusion MRI data a two-compartment model, which comprises hindered cellular compartment and freely diffusing isotropic compartment. These consistently find that the fraction of ( f ) sensitive white matter (WM) conditions pathologies, although actual biological source changes in has not been validated. In this work we put aside interpretation study sensitivity implications fitting model. We identify nonlinear transformation between one-compartment model (diffusion tensor imaging, DTI) mean diffusivities both compartments are effectively fixed. While analytic relationship implies does offer any more information than DTI, it explains why metrics derived from can exhibit enhanced over DTI certain types WM processes, such as age-related differences. The enhancement should be viewed substitute acquiring multi-shell data. Rather, results provide insight into consequences choosing when only available.

Language: Английский

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Unraveling the link: white matter damage, gray matter atrophy and memory impairment in patients with subcortical ischemic vascular disease

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Feb. 1, 2024

Introduction Prior MRI studies have shown that patients with subcortical ischemic vascular disease (SIVD) exhibited white matter damage, gray atrophy and memory impairment, but the specific characteristics interrelationships of these abnormal changes not been fully elucidated. Materials methods We collected data scores from 29 SIVD cognitive impairment (SIVD-CI), unimpaired (SIVD-CU) 32 normal controls (NC). Subsequently, thicknesses volumes regions are closely related to function were automatically assessed using FreeSurfer software. Then, volume, fractional anisotropy (FA), mean diffusivity (MD), amplitude low-frequency fluctuation (ALFF) regional homogeneity (ReHo) values hyperintensity (WMH) region normal-appearing (NAWM) obtained SPM, DPARSF, FSL Finally, analysis covariance, spearman correlation mediation used analyze data. Results Compared NC group, in SIVD-CI SIVD-CU groups showed significantly FA, MD, ALFF, ReHo WMH NAWM, as well decreased volume thickness regions, mainly including thalamus, middle temporal gyrus hippocampal subfields such cornu ammonis (CA) 1. These correlated visual, auditory working scores. significant reductions left CA2/3, right amygdala, parasubiculum NAWM increases MD found group. And increased Moreover, CA1 thalamus mediated correlations between microstructure indicators Conclusion Patients had structural functional damages both along atrophy, which especially thalamic atrophy. More importantly, some temporomesial may be potentially helpful neuroimaging for distinguishing patients.

Language: Английский

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Thalamic functional dysconnectivity in patients with left-hemisphere chronic capsular and pontine stroke

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Oct. 15, 2024

Background Through its extensive connection with the cortex, thalamus constitutes hub of cortico-subcortical circuits and participants in multi-dimensional functions. However, differential involvements thalamic functional connectivity chronic capsular pontine stroke are still unknown. Methods The research recruited 66 left-lesion patients, including 46 strokes (CS) 20 (PS) 67 normal controls (NC). subfields connectivities were compared between groups using a two-way repeated analysis variance (ANOVA), corrected for confounders age, gender, education scanners. Spearman partial correlation was used to explore potential association altered FC clinical variables. Results ipsilesional CS patients had abnormally decreased widespread cognitive-related areas while increased visual- somatic-motor areas. In contrast, PS mainly demonstrated these sensorimotor Even contralesional thalamus, we observed similar (with ipsilesional) but less dysconnectivity patterns both ( P &lt; 0.05, family-wise error [FWE] at voxel level). Finally, found significant group x interactions on connectivity, where vs. demonstrate varied specific subfields. weak ipsilesional/contralesional motor, working verbal memory. Conclusions after lesion-location dependent. Moreover, shown patterns.

Language: Английский

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Quantifying individualized deviations of brain structure in patients with multiple neurological diseases from normative references

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 23, 2024

Quantifying individualized deviations in the brain structure of patients with disorders from those normal individuals is crucial for understanding disease pathology and guiding personalized management. In this study, we aimed to establish Chinese-specific normative references using 3D T1-weighted magnetic resonance images 12,060 healthy controls (HCs) quantify 3,245 multiple neurological diseases, including neurodegenerative diseases (mild cognitive impairment [n = 212], Alzheimer's 467], Parkinson's [PD, n 1,263]), cerebrovascular (cerebral small vessel 498]), neuroinflammatory (multiple sclerosis [MS, 497] aquaporin-4 antibody-seropositive neuromyelitis optica spectrum disorder [NMOSD, 308]). The Chinese exhibited a later peak age than previously reported references, which were mainly European North American populations, differing by 2.3 9.9 years. Distinct structural measures observed among neurogenerative, cerebrovascular, diseases. We subsequently performed three clinical tasks assess utility deviation scores. Task 1: estimated individual propensity score relative that HCs, median scores ranging 0.84 0.95. 2: predicted physical cross-sectional data. correlations between actual ranged 0.13 0.70. 3: longitudinal cohort, analyzed effects different treatments on PD. Predictions motor outcomes PD receiving medication deep stimulation showed variables 0.16 0.31. addition, stratified MS NMOSD according risks disability progression. Comparative analyses demonstrated outperformed raw estimation risk stratification patients. Longitudinal sensitivity confirmed stability robustness quantification. Finally, these scores, created clinically applicable health report. conclusion, quantified derived population-specific can serve as novel approach contribute accurately diagnosis prognosis various

Language: Английский

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Estimated Brain Age in Healthy Aging and Across Multiple Neurological Disorders

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Background The brain aging in the general population and patients with neurological disorders is not well understood. Purpose To characterize above conditions its clinical relevance. Study Type Retrospective. Population A total of 2913 healthy controls (HC), 1395 females; 331 multiple sclerosis (MS); 189 neuromyelitis optica spectrum disorder (NMOSD); 239 Alzheimer's disease (AD); 244 Parkinson's (PD); 338 cerebral small vessel (cSVD). Field Strength/Sequence 3.0 T/Three‐dimensional (3D) T1‐weighted images. Assessment age was estimated by our previously developed model, using a 3D convolutional neural network trained on 9794 images individuals. Brain gap (BAG), difference between chronological age, calculated to represent accelerated resilient conditions. We compared MRI metrics individuals (BAG ≥ 5 years) ≤ −5 HC, correlated BAG metrics, cognitive physical measures across disorders. Statistical Tests Student's t test, Wilcoxon chi‐square test or Fisher's exact correlation analysis. P < 0.05 considered statistically significant. Results In exhibited significantly higher white matter hyperintensity (WMH) lower regional volumes than those age. MS (10.30 ± 12.6 years), NMOSD (2.96 7.8 AD (6.50 6.6 PD (4.24 4.8 cSVD (3.24 5.9 HC. Increased associated atrophy, WMH burden, impairment disability ( r = 0.17). Data Conclusion Healthy show high burden volume reduction. Neurological exhibit distinct aging, impaired function. Level Evidence 4 Technical Efficacy Stage 2

Language: Английский

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A multi-parametric MRI study on changes in the structure, function, and connectivity of thalamic subregions and their relationship with cognitive impairment in patients with subcortical ischemic vascular disease

Brain Research, Journal Year: 2024, Volume and Issue: 1850, P. 149420 - 149420

Published: Dec. 25, 2024

Language: Английский

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