
Brain Research Bulletin, Journal Year: 2024, Volume and Issue: 220, P. 111160 - 111160
Published: Dec. 4, 2024
Language: Английский
Brain Research Bulletin, Journal Year: 2024, Volume and Issue: 220, P. 111160 - 111160
Published: Dec. 4, 2024
Language: Английский
Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: 21(4)
Published: April 1, 2025
Abstract INTRODUCTION Regional brain iron dyshomeostasis is observed in cerebral small vessel disease (cSVD) and other neurodegeneration processes. However, its spatial patterns, cognitive impact, underlying pathological mechanisms remain unclear. METHODS Voxel‐based analysis of quantitative susceptibility mapping (QSM) was used to detect regional changes, their correlations with function were assessed using linear regression. We combined the microarray dataset from Allen Human Brain Atlas (AHBA) explore deposition patterns. RESULTS A total 87 cSVD patients 80 controls included study. Increased QSM values bilateral putamen caudate associated decline cSVD. Gene set enrichment revealed gene sets related central nervous system integrity. DISCUSSION Iron deep gray matter may indicate changes could be linked disruption structural functional Highlights values, indicating focal deposition, (cSVD). concentration nuclei impairment patients. Imaging transcriptomics suggests that cSVD‐related integrity brain. An open‐source script for imaging focusing on expression developed proposed.
Language: Английский
Citations
0Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16
Published: April 23, 2025
To systematically evaluate the diagnostic value of diffusion tensor imaging (DTI) for mild cognitive impairment (MCI) based on Meta-analysis. Databases including PubMed, Web Science, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and VIP database were searched literature use DTI in studying MCI. The search was conducted from inception each up to February 20, 2024. Literature screened predefined inclusion exclusion criteria, relevant data extracted, quality included studies assessed using QUADAS-2 tool. Heterogeneity evaluated Q-test I2 statistics. Fractional anisotropy (FA) values different brain regions (frontal lobe, parietal temporal occipital fornix, hippocampus, parahippocampal gyrus, posterior cingulum, limb internal capsule, uncinate fasciculus, inferior fronto-occipital superior longitudinal genu splenium corpus callosum) extracted MCI normal control (NC) groups. Meta-analysis software (Review Manager 5.4) used perform a pooled analysis eligible obtain weighted mean difference (WMD) 95% confidence interval (95% CI). A total 76 (41 English 35 Chinese). overall WMD its CI -0.03 [-0.04, -0.03], with statistically significant differences all except lobe capsule. technology can identify microstructural damage white matter patients, which holds implications early diagnosis intervention.
Language: Английский
Citations
0Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0BMC Neurology, Journal Year: 2025, Volume and Issue: 25(1)
Published: April 28, 2025
Language: Английский
Citations
0NeuroImage Clinical, Journal Year: 2024, Volume and Issue: 43, P. 103629 - 103629
Published: Jan. 1, 2024
While mechanical thrombectomy (MT) achieves restoration of cerebral blood flow to the area at risk in patients with acute ischemic stroke (AIS), influx may exacerbate blood–brain barrier (BBB) disruption and extravasation across BBB, it therefore remains unclear how reperfusion impacts integrity. In this study, we use diffusion-prepared pseudocontinuous ASL (DP-pCASL) Neurite Orientation Dispersion Density Imaging (NODDI) sequence measure water exchange rate (kw) who underwent either MT or medical management determine its impact on brain tissue microstructure order elucidate BBB complex We prospectively enrolled 21 AIS treated our institution from 10/2021 6/2023 MR imaging a 3.0-Tesla scanner. Patients DP-pCASl NODDI addition standard protocol which generated (CBF), arterial transit time (ATT), (kw), orientation dispersion index (ODI), intracellular volume fraction (ICVF), free (FWF) parametric maps. Of patients, 11 10 were non-operatively. The average age NIHSS for cohort non-MT cohorts 69.3 ± 16.6 years old 15.0 (12.0–20.0), 70.2 10.7 (p = 0.882) 6.0 (3.8–9.0, p 0.003) respectively. CBF, ATT, kw infarcted territory 38.2 (18.4–59.6), 1347.6 (1182.5–1842.3), 107.8 (79.2–140.1) ROI 16.0 (8.8–36.6, 0.036), 1090.8 (937.1–1258.9, 0.013), 89.7 (68.0–122.7, 0.314) Linear regression analysis showed increasing CBF 0.008) undergoing 0.048) significant predictors increased kw. Using multimodal non-contrast MRI protocol, demonstrate that kw, suggesting better functioning complex. Higher suggests less cohort.
Language: Английский
Citations
1BMC Neurology, Journal Year: 2024, Volume and Issue: 24(1)
Published: Oct. 17, 2024
Synaptic degeneration, axonal injury, and white matter disintegration are among the pathological events in Alzheimer's disease (AD), for which growth-associated protein 43 (GAP-43) diffusion tensor imaging (DTI) could be an indicator. In this study, cerebrospinal fluid (CSF) GAP-43 clinical trajectories their association with progression AD hallmarks microstructural changes were evaluated.
Language: Английский
Citations
0Journal of Alzheimer s Disease, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 25, 2024
Background Quantitative susceptibility mapping (QSM) is pivotal for analyzing neurodegenerative diseases. However, accurate hippocampal segmentation remains a challenge. Objective This study introduces method extracting magnetic values using convolutional neural network (CNN) model referred to as 3D residual UNET. Methods The was pre-trained on whole QSM images and segmentations from T1-weighted of 297 patients with Alzheimer's disease mild cognitive impairment. Fine-tuning conducted through manually annotated the 60 patients. performance assessed Dice similarity coefficient (DSC) Pearson correlation coefficient. Results developed applied another 98 patients, 49 AD impairment (MCI), between volume evaluated. mean DSC 0.716 ± 0.045. derived manual CNN 0.983. −0.252 ( p = 0.012) left side −0.311 0.002) right. Conclusions UNET enhances analysis precision QSM, which capable accurately susceptibility.
Language: Английский
Citations
0Brain Research Bulletin, Journal Year: 2024, Volume and Issue: 220, P. 111160 - 111160
Published: Dec. 4, 2024
Language: Английский
Citations
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