White matter hypointensities and hyperintensities have equivalent correlations with age and CSF β-amyloid in the nondemented elderly.
Autor: | Wei K; Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, CA, USA., Tran T; Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, CA, USA., Chu K; Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, CA, USA., Borzage MT; Fetal and Neonatal Institute, Division of Neonatology Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Braskie MN; Department of Neurology, Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Harrington MG; Neuroscience Department, Huntington Medical Research Institutes, Pasadena, CA, USA., King KS; Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, CA, USA. |
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Jazyk: | angličtina |
Zdroj: | Brain and behavior [Brain Behav] 2019 Dec; Vol. 9 (12), pp. e01457. Date of Electronic Publication: 2019 Nov 06. |
DOI: | 10.1002/brb3.1457 |
Abstrakt: | Introduction: T1- and T2-weighted sequences from MRI often provide useful complementary information about tissue properties. Leukoaraiosis results in signal abnormalities on T1-weighted images, which are automatically quantified by FreeSurfer, but this marker is poorly characterized and is rarely used. We evaluated associations between white matter hyperintensity (WM-hyper) volume from FLAIR and white matter hypointensity (WM-hypo) volume from T1-weighted images and compared their associations with age and cerebrospinal fluid (CSF) β-amyloid and tau. Methods: A total of 56 nondemented participants (68-94 years) were recruited and gave informed consent. All participants went through MR imaging on a GE 1.5T scanner and of these 47 underwent lumbar puncture for CSF analysis. WM-hypo was calculated using FreeSurfer analysis of T1 FSPGR 3D, and WM-hyper was calculated with the Lesion Segmentation Toolbox in the SPM software package using T2-FLAIR. Results: WM-hyper and WM-hypo were strongly correlated (r = .81; parameter estimate (p.e.): 1.53 ± 0.15; p < .0001). Age was significantly associated with both WM-hyper (r = .31, p.e. 0.078 ± 0.030, p = .013) and WM-hypo (r = .42, p.e. 0.055 ± 0.015, p < .001). CSF β-amyloid levels were predicted by WM-hyper (r = .33, p.e. -0.11 ± 0.044, p = .013) and WM-hypo (r = .42, p.e. -0.24 ± 0.073, p = .002). CSF tau levels were not correlated with either WM-hyper (p = .9) or WM-hypo (p = .99). Conclusions: Strong correlations between WM-hyper and WM-hypo, and similar associations with age, abnormal β-amyloid, and tau suggest a general equivalence between these two imaging markers. Our work supports the equivalence of white matter hypointensity volumes derived from FreeSurfer for evaluating leukoaraiosis. This may have particular utility when T2-FLAIR is low in quality or absent, enabling analysis of older imaging data sets. (© 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.) |
Databáze: | MEDLINE |
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