Background: Whereas structural abnormalities in the cerebellum have been associated with essential tremor (ET), the contribution of vascular disease via white matter hyperintensities (WMHs) and strokes has not been examined. In this study, we have explored these potential associations and hypothesized that ET would be associated with greater overall WMH volume, greater cerebellar WMH volume, and greater infarct presence.
Methods: In a cross-sectional magnetic resonance imaging (MRI) study of 540 community-dwelling elderly persons in northern Manhattan, New York, brain measures of total WMH volume and regional WMH volume were derived from T(2)-weighted fluid attenuated inverse recovery-weighted MR images. The presence of cerebral infarcts on MRI was determined as well.
Results: Total WMH volume was greater among 33 ET cases than 507 controls in both univariate (OR = 1.41, p = 0.038) and fully adjusted analyses (OR = 1.44, p = 0.03). Cerebellar WMH volume was associated with marginally increased odds of ET in a univariate model (OR = 1.52, p = 0.11) and significantly increased odds in a fully adjusted multivariate model (OR = 1.74, p = 0.049). Temporal lobe WMH volume was associated with significantly increased odds of ET in both univariate (OR = 3.36, p<0.001) and fully adjusted models (OR = 3.73, p<0.001). Large strokes were significantly more common in cases than in controls in unadjusted analyses (OR = 3.04, p = 0.02) and marginally in adjusted analyses (OR = 2.56-2.57, p = 0.045-0.056). The distribution of strokes did not differ by diagnosis.
Discussion: MRI data in this study indicated that ET was associated with greater total WMH volume, greater cerebellar WMH volume and possibly more strokes. Cerebrovascular disease could play a role in the development of ET.
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http://dx.doi.org/10.7916/D8K64GS0 | DOI Listing |
Neuroradiology
January 2025
Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Villarroel 170, 08036, Barcelona, Spain.
Purpose: Fluid exchanges between perivascular spaces (PVS) and interstitium may contribute to the pathophysiology of small vessel disease (SVD). We aimed to analyze water diffusivity measures and their relationship with PVS and other SVD imaging markers.
Methods: We enrolled 50 consecutive patients with a recent small subcortical infarct.
J Imaging
December 2024
Technology Department, CERN, 1211 Geneva, Switzerland.
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts' accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. In this work, we focus on the analysis of the segmentation results of a pre-trained U-net model trained and validated on brain MRI examinations containing four different pathologies: Tumors, Strokes, Multiple Sclerosis (MS), and White Matter Hyperintensities (WMH).
View Article and Find Full Text PDFJ Psychiatry Neurosci
January 2025
From the Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Qiao, Zhao, Cong, Y. Li, Tian, Yang, Cao, Su); the School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China (Zhu); the Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China (P. Li).
Background: White matter damage is closely associated with cognitive and psychiatric symptoms and is prevalent in cerebral small vessel disease (CSVD); although the pathophysiological mechanisms involved in CSVD remain elusive, inflammation plays a crucial role. We sought to investigate the relationship between systemic inflammation markers and imaging markers of CVSD, namely white matter hyperintensity (WMH) and microstructural injury.
Methods: We conducted a study involving both cross-sectional and longitudinal data from the UK Biobank Cohort.
Clin Radiol
December 2024
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Aim: To compare the image quality obtained using two accelerated high-resolution 3D fluid-attenuated inversion recovery (FLAIR) techniques for the brain-deep learning-reconstruction SPACE (DL-SPACE) and Wave-CAIPI FLAIR.
Materials And Methods: A total of 123 participants who underwent DL-SPACE and Wave-CAIPI FLAIR brain imaging were retrospectively reviewed. In a qualitative analysis, two radiologists rated the quality of each image, including the overall image quality, artifacts, sharpness, fine-structure conspicuity, and lesion conspicuity based on Likert scales.
Eur Radiol
January 2025
Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Objectives: To investigate glymphatic function in idiopathic normal pressure hydrocephalus (iNPH) using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) method and to explore the associations of ALPS index with ventriculomegaly and white matter hyperintensities (WMH).
Materials And Methods: This study included 41 patients with iNPH and 40 age- and sex-matched normal controls (NCs). All participants underwent brain MRI.
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