Jie Ding1, Sigurður Sigurðsson2, Pálmi V Jónsson3, Gudny Eiriksdottir2, Andreas Charidimou4, Oscar L Lopez5,6, Mark A van Buchem7, Vilmundur Guðnason2,3, Lenore J Launer1. 1. Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland. 2. Icelandic Heart Association, Kopavogur, Iceland. 3. Faculty of Medicine, University of Iceland, Reykjavik, Iceland. 4. Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston. 5. Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania. 6. Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania. 7. Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands.
Abstract
Importance: With advancing age, an increased visibility of perivascular spaces (PVSs) on magnetic resonance imaging (MRI) is hypothesized to represent impaired drainage of interstitial fluid from the brain and may reflect underlying cerebral small vessel disease (SVD). However, whether large perivascular spaces (L-PVSs) (>3 mm in diameter) visible on MRI are associated with SVD and cognitive deterioration in older individuals is unknown. Objective: To examine whether L-PVSs are associated with the progression of the established MRI markers of SVD, cognitive decline, and increased risk of dementia. Design, Setting, and Participants: The prospective, population-based Age, Gene/Environment Susceptibility-Reykjavik Study assessed L-PVSs at baseline (September 1, 2002, through February 28, 2006) on MRI studies of the brain in 2612 participants. Participants returned for additional MRI from April 1, 2007, through September 30, 2011, and underwent neuropsychological testing at the 2 time points a mean (SD) of 5.2 (0.2) years apart. Data analysis was conducted from August 1, 2016, to May 4, 2017. Exposures: The presence, number, and location of L-PVSs. Main Outcomes and Measures: Incident subcortical infarcts, cerebral microbleeds, and progression of white matter hyperintensities detected on MRI; cognitive decline defined as composite score changes between baseline and follow-up in the domains of memory, information processing speed, and executive function; and adjudicated incident dementia cases diagnosed according to international guidelines. Results: Of the 2612 study patients (mean [SD] age, 74.6 [4.8] years; 1542 [59.0%] female), 424 had L-PVSs and 2188 did not. The prevalence of L-PVSs was 16.2% (median number of L-PVSs, 1; range, 1-17). After adjusting for age, sex, and interval between baseline and follow-up scanning, the presence of L-PVSs was significantly associated with an increased risk of incident subcortical infarcts (adjusted risk ratio, 2.54; 95% CI, 1.76-3.68) and microbleeds (adjusted risk ratio, 1.43; 95% CI, 1.18-1.72) and a greater 5-year progression of white matter hyperintensity volume. The presence of L-PVSs was also associated with a steeper decline in information processing speed and more than quadrupled the risk of vascular dementia. All associations persisted when further adjusted for genetic and cerebrovascular risk factors. The associations with cognitive outcomes were independent of educational level, depression, and other SVD MRI markers. Conclusions and Relevance: Large PVSs are an MRI marker of SVD and associated with the pathogenesis of vascular-related cognitive impairment in older individuals. Large PVSs should be included in assessments of vascular cognitive impairment in the older population and as potential targets for interventions.
Importance: With advancing age, an increased visibility of perivascular spaces (PVSs) on magnetic resonance imaging (MRI) is hypothesized to represent impaired drainage of interstitial fluid from the brain and may reflect underlying cerebral small vessel disease (SVD). However, whether large perivascular spaces (L-PVSs) (>3 mm in diameter) visible on MRI are associated with SVD and cognitive deterioration in older individuals is unknown. Objective: To examine whether L-PVSs are associated with the progression of the established MRI markers of SVD, cognitive decline, and increased risk of dementia. Design, Setting, and Participants: The prospective, population-based Age, Gene/Environment Susceptibility-Reykjavik Study assessed L-PVSs at baseline (September 1, 2002, through February 28, 2006) on MRI studies of the brain in 2612 participants. Participants returned for additional MRI from April 1, 2007, through September 30, 2011, and underwent neuropsychological testing at the 2 time points a mean (SD) of 5.2 (0.2) years apart. Data analysis was conducted from August 1, 2016, to May 4, 2017. Exposures: The presence, number, and location of L-PVSs. Main Outcomes and Measures: Incident subcortical infarcts, cerebral microbleeds, and progression of white matter hyperintensities detected on MRI; cognitive decline defined as composite score changes between baseline and follow-up in the domains of memory, information processing speed, and executive function; and adjudicated incident dementia cases diagnosed according to international guidelines. Results: Of the 2612 study patients (mean [SD] age, 74.6 [4.8] years; 1542 [59.0%] female), 424 had L-PVSs and 2188 did not. The prevalence of L-PVSs was 16.2% (median number of L-PVSs, 1; range, 1-17). After adjusting for age, sex, and interval between baseline and follow-up scanning, the presence of L-PVSs was significantly associated with an increased risk of incident subcortical infarcts (adjusted risk ratio, 2.54; 95% CI, 1.76-3.68) and microbleeds (adjusted risk ratio, 1.43; 95% CI, 1.18-1.72) and a greater 5-year progression of white matter hyperintensity volume. The presence of L-PVSs was also associated with a steeper decline in information processing speed and more than quadrupled the risk of vascular dementia. All associations persisted when further adjusted for genetic and cerebrovascular risk factors. The associations with cognitive outcomes were independent of educational level, depression, and other SVD MRI markers. Conclusions and Relevance: Large PVSs are an MRI marker of SVD and associated with the pathogenesis of vascular-related cognitive impairment in older individuals. Large PVSs should be included in assessments of vascular cognitive impairment in the older population and as potential targets for interventions.
Authors: Y-C Zhu; C Dufouil; B Mazoyer; A Soumaré; F Ricolfi; C Tzourio; H Chabriat Journal: AJNR Am J Neuroradiol Date: 2011-02-24 Impact factor: 3.825
Authors: Nicholas M Gregg; Albert E Kim; M Edip Gurol; Oscar L Lopez; Howard J Aizenstein; Julie C Price; Chester A Mathis; Jeffrey A James; Beth E Snitz; Ann D Cohen; M Ilyas Kamboh; Davneet Minhas; Lisa A Weissfeld; Erica L Tamburo; William E Klunk Journal: JAMA Neurol Date: 2015-09 Impact factor: 18.302
Authors: Andreas Charidimou; Zane Jaunmuktane; Jean-Claude Baron; Matthew Burnell; Pascale Varlet; Andre Peeters; John Xuereb; Rolf Jäger; Sebastian Brandner; David J Werring Journal: Neurology Date: 2013-11-27 Impact factor: 9.910
Authors: A M J Maclullich; J M Wardlaw; K J Ferguson; J M Starr; J R Seckl; I J Deary Journal: J Neurol Neurosurg Psychiatry Date: 2004-11 Impact factor: 10.154
Authors: Susanne J van Veluw; Geert Jan Biessels; Willem H Bouvy; Wim Gm Spliet; Jaco Jm Zwanenburg; Peter R Luijten; Eric A Macklin; Annemieke Jm Rozemuller; M Edip Gurol; Steven M Greenberg; Anand Viswanathan; Sergi Martinez-Ramirez Journal: J Cereb Blood Flow Metab Date: 2015-12-07 Impact factor: 6.200
Authors: Benjamin S Aribisala; Stewart Wiseman; Zoe Morris; Maria C Valdés-Hernández; Natalie A Royle; Susana M Maniega; Alan J Gow; Janie Corley; Mark E Bastin; John Starr; Ian J Deary; Joanna M Wardlaw Journal: Stroke Date: 2014-01-07 Impact factor: 7.914
Authors: Sytze P Rensma; Thomas T van Sloten; Jennifer Ding; Sigurdur Sigurdsson; Coen D A Stehouwer; Vilmundur Gudnason; Lenore J Launer Journal: Diabetes Care Date: 2020-06-11 Impact factor: 19.112
Authors: Ryan A Opel; Alison Christy; Erin L Boespflug; Kristianna B Weymann; Brendan Case; Jeffery M Pollock; Lisa C Silbert; Miranda M Lim Journal: J Cereb Blood Flow Metab Date: 2018-08-10 Impact factor: 6.200
Authors: Saima Hilal; Chuen Seng Tan; Hieab H H Adams; Mohamad Habes; Vincent Mok; Narayanaswamy Venketasubramanian; Edith Hofer; M Kamran Ikram; Jill Abrigo; Meike W Vernooij; Christopher Chen; Norbert Hosten; Henry Volzke; Hans J Grabe; Reinhold Schmidt; M Arfan Ikram Journal: Neurology Date: 2018-08-01 Impact factor: 9.910
Authors: Matthew Paradise; John D Crawford; Ben C P Lam; Wei Wen; Nicole A Kochan; Steve Makkar; Laughlin Dawes; Julian Trollor; Brian Draper; Henry Brodaty; Perminder S Sachdev Journal: Neurology Date: 2021-01-27 Impact factor: 9.910
Authors: Erin K Donahue; Amjad Murdos; Michael W Jakowec; Nasim Sheikh-Bahaei; Arthur W Toga; Giselle M Petzinger; Farshid Sepehrband Journal: Mov Disord Date: 2021-01-20 Impact factor: 10.338
Authors: Joanna M Wardlaw; Helene Benveniste; Maiken Nedergaard; Berislav V Zlokovic; Humberto Mestre; Hedok Lee; Fergus N Doubal; Rosalind Brown; Joel Ramirez; Bradley J MacIntosh; Allen Tannenbaum; Lucia Ballerini; Ravi L Rungta; Davide Boido; Melanie Sweeney; Axel Montagne; Serge Charpak; Anne Joutel; Kenneth J Smith; Sandra E Black Journal: Nat Rev Neurol Date: 2020-02-24 Impact factor: 42.937