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000138890 1001_ $$aBaykara, Ebru$$b0
000138890 245__ $$aA Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms.
000138890 260__ $$aHoboken, NJ$$bWiley-Blackwell$$c2016
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000138890 520__ $$aTo establish a fully automated, robust imaging marker for cerebral small vessel disease (SVD) and related cognitive impairment that is easy to implement, reflects disease burden, and is strongly associated with processing speed, the predominantly affected cognitive domain in SVD.We developed a novel magnetic resonance imaging marker based on diffusion tensor imaging, skeletonization of white matter tracts, and histogram analysis. The marker (peak width of skeletonized mean diffusivity [PSMD]) was assessed along with conventional SVD imaging markers. We first evaluated associations with processing speed in patients with genetically defined SVD (n = 113). Next, we validated our findings in independent samples of inherited SVD (n = 57), sporadic SVD (n = 444), and memory clinic patients with SVD (n = 105). The new marker was further applied to healthy controls (n = 241) and to patients with Alzheimer's disease (n = 153). We further conducted a longitudinal analysis and interscanner reproducibility study.PSMD was associated with processing speed in all study samples with SVD (p-values between 2.8 × 10(-3) and 1.8 × 10(-10) ). PSMD explained most of the variance in processing speed (R(2) ranging from 8.8% to 46%) and consistently outperformed conventional imaging markers (white matter hyperintensity volume, lacune volume, and brain volume) in multiple regression analyses. Increases in PSMD were linked to vascular but not to neurodegenerative disease. In longitudinal analysis, PSMD captured SVD progression better than other imaging markers.PSMD is a new, fully automated, and robust imaging marker for SVD. PSMD can easily be applied to large samples and may be of great utility for both research studies and clinical use. Ann Neurol 2016;80:581-592.
000138890 536__ $$0G:(DE-HGF)POF3-344$$a344 - Clinical and Health Care Research (POF3-344)$$cPOF3-344$$fPOF III$$x0
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000138890 650_7 $$2NLM Chemicals$$aBiomarkers
000138890 650_2 $$2MeSH$$aAdult
000138890 650_2 $$2MeSH$$aAged
000138890 650_2 $$2MeSH$$aAged, 80 and over
000138890 650_2 $$2MeSH$$aAlzheimer Disease: diagnostic imaging
000138890 650_2 $$2MeSH$$aBiomarkers
000138890 650_2 $$2MeSH$$aCerebral Small Vessel Diseases: complications
000138890 650_2 $$2MeSH$$aCerebral Small Vessel Diseases: diagnostic imaging
000138890 650_2 $$2MeSH$$aCognitive Dysfunction: diagnostic imaging
000138890 650_2 $$2MeSH$$aCognitive Dysfunction: etiology
000138890 650_2 $$2MeSH$$aCognitive Dysfunction: physiopathology
000138890 650_2 $$2MeSH$$aDiffusion Tensor Imaging: methods
000138890 650_2 $$2MeSH$$aDiffusion Tensor Imaging: standards
000138890 650_2 $$2MeSH$$aFemale
000138890 650_2 $$2MeSH$$aHumans
000138890 650_2 $$2MeSH$$aMale
000138890 650_2 $$2MeSH$$aMiddle Aged
000138890 650_2 $$2MeSH$$aReproducibility of Results
000138890 650_2 $$2MeSH$$aWhite Matter: diagnostic imaging
000138890 650_2 $$2MeSH$$aYoung Adult
000138890 7001_ $$aGesierich, Benno$$b1
000138890 7001_ $$aAdam, Ruth$$b2
000138890 7001_ $$aTuladhar, Anil Man$$b3
000138890 7001_ $$aBiesbroek, J Matthijs$$b4
000138890 7001_ $$aKoek, Huiberdina L$$b5
000138890 7001_ $$aRopele, Stefan$$b6
000138890 7001_ $$aJouvent, Eric$$b7
000138890 7001_ $$aInitiative, Alzheimer's Disease Neuroimaging$$b8
000138890 7001_ $$aChabriat, Hugues$$b9
000138890 7001_ $$aErtl-Wagner, Birgit$$b10
000138890 7001_ $$0P:(DE-HGF)0$$aEwers, Michael$$b11
000138890 7001_ $$0P:(DE-HGF)0$$aSchmidt, Reinhold$$b12
000138890 7001_ $$ade Leeuw, Frank-Erik$$b13
000138890 7001_ $$aBiessels, Geert Jan$$b14
000138890 7001_ $$0P:(DE-2719)2000030$$aDichgans, Martin$$b15$$udzne
000138890 7001_ $$0P:(DE-HGF)0$$aDuering, Marco$$b16$$eCorresponding author
000138890 77318 $$2Crossref$$3journal-article$$a10.1002/ana.24758$$b : Wiley, 2016-08-29$$n4$$p581-592$$tAnnals of Neurology$$v80$$x0364-5134$$y2016
000138890 773__ $$0PERI:(DE-600)2037912-2$$a10.1002/ana.24758$$gVol. 80, no. 4, p. 581 - 592$$n4$$p581-592$$q80:4<581 - 592$$tAnnals of neurology$$v80$$x0364-5134$$y2016
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