Raffaella Valenti1, Yael D Reijmer2, Andreas Charidimou2, Gregoire Boulouis3, Sergi Ramirez Martinez2, Li Xiong2, Panagiotis Fotiadis2, Michael Jessel2, Alison Ayres2, Grace Riley2, Leonardo Pantoni4, M Edip Gurol2, Steven M Greenberg2, Anand Viswanathan5. 1. Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA; NEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy. 2. Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA. 3. Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA; Université Paris-Descartes, Department of Neuroradiology, Centre Hospitalier Sainte-Anne, Paris, France. 4. NEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy. 5. Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA. Electronic address: aviswanathan1@partners.org.
Abstract
BACKGROUND: Cerebral amyloid angiopathy (CAA) is associated with hemorrhagic and nonhemorrhagic markers small vessel disease (SVD). A composite score to quantify the total burden of SVD on MRI specifically for CAA patients was recently developed. Brain network alterations related to individual MRI markers of SVD in CAA were demonstrated. OBJECTIVES: Considering diffusion based network measures sensitive to detect different relevant SVD-related brain injury, we investigated if increased overall SVD injury on MRI corresponds to worse global brain connectivity in CAA. METHODS: Seventy-three patients (79.5% male, mean age 70.58±8.22years) with a diagnosis CAA were considered. SVD markers in total MRI SVD score included: lobar cerebral microbleeds, cortical superficial siderosis (cSS), white matter hyperintensities (WMH) and centrum semiovale-enlarged perivascular spaces. Diffusion imaging based network reconstruction was made. The associations between total MRI SVD score and global network efficiency (GNE) were analyzed. RESULTS: A modest significant inverse correlation between total MRI SVD score and GNE existed (p=0.013; R2=0.07). GNE was related with the presence of cSS and moderate-severe WMHs. CONCLUSIONS: An increased burden of SVD neuroimaging markers corresponds to more reductions in global brain connectivity, implying a possible cumulative effect of overall SVD markers on disrupted physiology. GNE was related with some components of the score, specifically cSS and moderate-severe WMHs.
BACKGROUND:Cerebral amyloid angiopathy (CAA) is associated with hemorrhagic and nonhemorrhagic markers small vessel disease (SVD). A composite score to quantify the total burden of SVD on MRI specifically for CAA patients was recently developed. Brain network alterations related to individual MRI markers of SVD in CAA were demonstrated. OBJECTIVES: Considering diffusion based network measures sensitive to detect different relevant SVD-related brain injury, we investigated if increased overall SVD injury on MRI corresponds to worse global brain connectivity in CAA. METHODS: Seventy-three patients (79.5% male, mean age 70.58±8.22years) with a diagnosis CAA were considered. SVD markers in total MRI SVD score included: lobar cerebral microbleeds, cortical superficial siderosis (cSS), white matter hyperintensities (WMH) and centrum semiovale-enlarged perivascular spaces. Diffusion imaging based network reconstruction was made. The associations between total MRI SVD score and global network efficiency (GNE) were analyzed. RESULTS: A modest significant inverse correlation between total MRI SVD score and GNE existed (p=0.013; R2=0.07). GNE was related with the presence of cSS and moderate-severe WMHs. CONCLUSIONS: An increased burden of SVD neuroimaging markers corresponds to more reductions in global brain connectivity, implying a possible cumulative effect of overall SVD markers on disrupted physiology. GNE was related with some components of the score, specifically cSS and moderate-severe WMHs.
Authors: Yael D Reijmer; Panagiotis Fotiadis; Sergi Martinez-Ramirez; David H Salat; Aaron Schultz; Ashkan Shoamanesh; Alison M Ayres; Anastasia Vashkevich; Diana Rosas; Kristin Schwab; Alexander Leemans; Geert-Jan Biessels; Jonathan Rosand; Keith A Johnson; Anand Viswanathan; M Edip Gurol; Steven M Greenberg Journal: Brain Date: 2014-11-02 Impact factor: 13.501
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