Spatial Similarity of MRI-Visible Perivascular Spaces in Healthy Young Adult Twins
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Purpose: This study aimed to determine whether genetic factors affect the location of dilated perivascular spaces (dPVS) by comparing healthy young twins and non-twin (NT) siblings. Materials and Methods: A total of 700 healthy young adult twins and NT siblings [138 monozygotic (MZ) twin pairs, 79 dizygotic (DZ) twin pairs, and 133 NT sibling pairs] were collected from the Human Connectome Project dataset. dPVS was automatically segmented and normalized to standard space. Then, spatial similarity indices [mean squared error (MSE), structural similarity (SSIM), and dice similarity (DS)] were calculated for dPVS in the basal ganglia (BGdPVS) and white matter (WMdPVS) between paired subjects before and after propensity score matching of dPVS volumes between groups. Within-pair correlations for the regional volumes of dVPS were also assessed using the intraclass correlation coefficient. Results: The spatial similarity of dPVS was significantly higher in MZ twins [higher DS (median, 0.382 and 0.310) and SSIM (0.963 and 0.887) and lower MSE (0.005 and 0.005) for BGdPVS and WMdPVS, respectively] than in DZ twins [DS (0.121 and 0.119), SSIM (0.941 and 0.868), and MSE (0.010 and 0.011)] and NT siblings [DS (0.106 and 0.097), SSIM (0.924 and 0.848), and MSE (0.016 and 0.017)]. No significant difference was found between DZ twins and NT siblings. Similar results were found even after the subjects were matched according to dPVS volume. Regional dPVS volumes were also more correlated within pairs in MZ twins than in DZ twins and NT siblings. Conclusion: Our results suggest that genetic factors affect the location of dPVS.
Abstract
Purpose: This study aimed to determine whether genetic factors affect the location of dilated perivascular spaces (dPVS) by comparing healthy young twins and non-twin (NT) siblings. Materials and Methods: A total of 700 healthy young adult twins and NT siblings [138 monozygotic (MZ) twin pairs, 79 dizygotic (DZ) twin pairs, and 133 NT sibling pairs] were collected from the Human Connectome Project dataset. dPVS was automatically segmented and normalized to standard space. Then, spatial similarity indices [mean squared error (MSE), structural similarity (SSIM), and dice similarity (DS)] were calculated for dPVS in the basal ganglia (BGdPVS) and white matter (WMdPVS) between paired subjects before and after propensity score matching of dPVS volumes between groups. Within-pair correlations for the regional volumes of dVPS were also assessed using the intraclass correlation coefficient. Results: The spatial similarity of dPVS was significantly higher in MZ twins [higher DS (median, 0.382 and 0.310) and SSIM (0.963 and 0.887) and lower MSE (0.005 and 0.005) for BGdPVS and WMdPVS, respectively] than in DZ twins [DS (0.121 and 0.119), SSIM (0.941 and 0.868), and MSE (0.010 and 0.011)] and NT siblings [DS (0.106 and 0.097), SSIM (0.924 and 0.848), and MSE (0.016 and 0.017)]. No significant difference was found between DZ twins and NT siblings. Similar results were found even after the subjects were matched according to dPVS volume. Regional dPVS volumes were also more correlated within pairs in MZ twins than in DZ twins and NT siblings. Conclusion: Our results suggest that genetic factors affect the location of dPVS.
참고문헌 (43)
- Groeschel S, "Virchow-Robin spaces on magnetic resonance images : normative data, their dilatation, and a review of the literature", Neuroradiology, 48, pp.745~754 (2006)
- Jessen NA, "The glymphatic system : a beginner's guide", Neurochem Res, 40, pp.2583~2599 (2015)
- Wardlaw JM, "Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration", Lancet Neurol, 12, pp.822~838 (2013)
- Brown R, "Understanding the role of the perivascular space in cerebral small vessel disease", Cardiovasc Res, 114, pp.1462~1473 (2018)
- Doubal FN, "Enlarged perivascular spaces on MRI are a feature of cerebral small vessel disease", Stroke, 41, pp.450~454 (2010)
- Zhu YC, "Severity of dilated Virchow-Robin spaces is associated with age, blood pressure, and MRI markers of small vessel disease : a population-based study", Stroke, 41, pp.2483~2490 (2010)
- Duperron MG, "High dilated perivascular space burden : a new MRI marker for risk of intracerebral hemorrhage", Neurobiol Aging, 84, pp.158~165 (2019)
- Achiron A, "Sandlike appearance of Virchow-Robin spaces in early multiple sclerosis : a novel neuroradiologic marker", AJNR Am J Neuroradiol, 23, pp.376~380 (2002)
- Wuerfel J, "Perivascular spaces--MRI marker of inflammatory activity in the brain?", Brain, 131(Pt 9), pp.2332~2340 (2008)
- Banerjee G, "MRI-visible perivascular space location is associated with Alzheimer’s disease independently of amyloid burden", Brain, 140, pp.1107~1116 (2017)
- Park YW, "Magnetic resonance imaging-visible perivascular spaces in basal ganglia predict cognitive decline in Parkinson's disease", Mov Disord, 34, pp.1672~1679 (2019)
- Mestre H, "Perivascular spaces, glymphatic dysfunction, and small vessel disease", Clin Sci(Lond), 131, pp.2257~2274 (2017)
- Duperron MG, "Burden of dilated perivascular spaces, an emerging marker of cerebral small vessel disease, is highly heritable", Stroke, 49, pp.282~287 (2018)
- Choi Y, "MRI-visible dilated perivascular spaces in healthy young adults : a twin heritability study", Hum Brain Mapp, 41, pp.5313~5324 (2020)
- Van Essen DC, "The WU-Minn human connectome project : an overview", Neuroimage, 80, pp.62~79 (2013)
- Wang Z, "Image quality assessment : from error visibility to structural similarity", IEEE Trans Image Process, 13, pp.600~612 (2004)
- Dice LR, "Measures of the amount of ecologic association between species", Ecology, 26, pp.297~302 (1945)
- Heaton RK, "Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults", J Int Neuropsychol Soc, 20, pp.588~598 (2014)
- Winger DG, "Propensity-score analysis in thoracic surgery : when, why, and an introduction to how", J Thorac Cardiovasc Surg, 151, pp.1484~1487 (2016)
- Riffenburgh RH, "Statistics in medicine", pp.551~569 (2012), Elsevier Academic Press
- Sachdev PS, "White matter hyperintensities are under strong genetic influence", Stroke, 47, pp.1422~1428 (2016)
- Gregg NM, "Incidental cerebral microbleeds and cerebral blood flow in elderly individuals", JAMA Neurol, 72, pp.1021~1028 (2015)
- Shi Y, "Cerebral blood flow in small vessel disease : a systematic review and meta-analysis", J Cereb Blood Flow Metab, 36, pp.1653~1667 (2016)
- Jiang J, "Cerebral blood flow in community-based older twins is moderately heritable : an arterial spin labeling perfusion imaging study", Front Aging Neurosci, 11, pp.169~ (2019)
- Martinez-Ramirez S, "Topography of dilated perivascular spaces in subjects from a memory clinic cohort", Neurology, 80, pp.1551~1556 (2013)
- Charidimou A, "MRI-visible perivascular spaces in cerebral amyloid angiopathy and hypertensive arteriopathy", Neurology, 88, pp.1157~1164 (2017)
- Roher AE, "Cortical and leptomeningeal cerebrovascular amyloid and white matter pathology in Alzheimer’s disease", Mol Med, 9, pp.112~122 (2003)
- Charidimou A, "Enlarged perivascular spaces as a marker of underlying arteriopathy in intracerebral haemorrhage : a multicentre MRI cohort study", J Neurol Neurosurg Psychiatry, 84, pp.624~629 (2013)
- Debette S, "Clinical significance of magnetic resonance imaging markers of vascular brain injury : a systematic review and meta-analysis", JAMA Neurol, 76, pp.81~94 (2019)
- Zhu YC, "High degree of dilated Virchow-Robin spaces on MRI is associated with increased risk of dementia", J Alzheimers Dis, 22, pp.663~672 (2010)
- Ding J, "Large perivascular spaces visible on magnetic resonance imaging, cerebral small vessel disease progression, and risk of dementia : the age, gene", environment susceptibility-Reykjavik study, 2017, pp.74, 1105~1112
- Lau KK, "Clinical correlates, ethnic differences, and prognostic implications of perivascular spaces in transient ischemic attack and ischemic stroke", Stroke, 48, pp.1470~1477 (2017)
- Boulouis G, "Hemorrhage recurrence risk factors in cerebral amyloid angiopathy : comparative analysis of the overall small vessel disease severity score versus individual neuroimaging markers", J Neurol Sci, 380, pp.64~67 (2017)
- Shen T, "The role of brain perivascular space burden in early-stage Parkinson’s disease", NPJ Parkinsons Dis, 7, pp.12~ (2021)
- Zhang X, "Brain atrophy correlates with severe enlarged perivascular spaces in basal ganglia among lacunar stroke patients", PLoS One, 11, pp.e0149593~ (2016)
- Wu D, "Insulin resistance is independently associated with enlarged perivascular space in the basal ganglia in nondiabetic healthy elderly population", Am J Alzheimers Dis Other Demen, 35, pp.1533317520912126~ (2020)
- Kernan WN, "Insulin resistance and risk for stroke", Neurology, 59, pp.809~815 (2002)
- Zebarth J, "Perivascular spaces mediate a relationship between diabetes and other cerebral small vessel disease markers in cerebrovascular and neurodegenerative diseases", J Stroke Cerebrovasc Dis, 32, pp.107273~ (2023)
- Javierre-Petit C, "Neuropathologic and cognitive correlates of enlarged perivascular spaces in a community-based cohort of older adults", Stroke, 51, pp.2825~2833 (2020)
- Zhang K, "MRI-visible perivascular spaces in basal ganglia but not centrum semiovale or hippocampus were related to deep medullary veins changes", J Cereb Blood Flow Metab, 42, pp.136~144 (2022)
- Fénelon G, "Parkinsonism and dilatation of the perivascular spaces(état criblé)of the striatum : a clinical, magnetic resonance imaging, and pathological study", Mov Disord, 10, pp.754~760 (1995)
- Lampe L, "Lesion location matters : the relationships between white matter hyperintensities on cognition in the healthy elderly", J Cereb Blood Flow Metab, 39, pp.36~43 (2019)
- Brugulat-Serrat A, "Patterns of white matter hyperintensities associated with cognition in middle-aged cognitively healthy individuals", Brain Imaging Behav, 14, pp.2012~2023 (2020)
