Dilated perivascular spaces in small-vessel disease: a study in CADASIL
Abstract
Background and Aim: Dilated perivascular spaces (dPVS) have previously been associated with aging and hypertension-related cerebral microangiopathy. However, their risk factors, radiological features and clinical relevance have been poorly evaluated in CADASIL (cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy), a unique model to investigate the pathophysiology of ischemic small-vessel disease. The purpose of this study was to investigate these different aspects in a large cohort of patients with this disorder. Methods: Demographic and MRI data of 344 patients from a prospective cohort study were analyzed. The severity of dPVS was evaluated separately in the anterior temporal lobes, subinsular areas, basal ganglia and white matter, using validated semiquantitative scales. Logistic and multiple linear regression models were used to determine the risk factors associated with the severity of dPVS in these different regions and their relationships with cognition, disability and the MRI markers of the disease (white matter hyperintensities (WMH) lacunar infarcts, microbleeds and brain parenchymal fraction (BPF)). Results: The severity of dPVS was found to increase with age regardless of cerebral area (p < 0.001). In contrast with dPVS in other locations, the severity of dPVS in the temporal lobes or subinsular areas was also found strongly and specifically related to the extent of WMH (p < 0.001). Conversely, no significant association was detected with lacunar volume, number of microbleeds or BPF. A high degree of dPVS in the white matter was associated with lower cognitive performances independently of age and other MRI markers of the disease including BPF (p ≤ 0.04). Conclusions: In CADASIL, the progression of the hereditary microangiopathy with aging may promote the dilation of perivascular spaces throughout the whole brain but with variable extent according to cerebral location. In temporal lobes and subinsular areas, dPVS are common MRI features and may share a similar pathogenesis with the extension of WMH during the course of the disease. dPVS may also participate in the development of cognitive decline in this model of small-vessel disease, and their large number in white matter may alert clinicians to a higher risk of cognitive decline in CADASIL.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Yao et al. (2014) demonstrated that the severity of perivascular space dilatation was worsened in demented CADASIL patients and was associated with global cognitive functioning regardless of age.
“For example, Yao et al. (2014) demonstrated that the severity of PVS dilatation was worsened in demented CADASIL patients and was associated with global cognitive functioning, regardless of the age [75].”
From Clinical and research applications of magnetic resonance imaging in the study of CADASIL (2019) · cites this paper as [75]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Wardlaw, J. M., Smith, E. E., Biessels, G. J., Cordonnier, C., Fazekas, F., Frayne, R., Lindley, R. I., O'Brien, J. T., Barkhof, F., Benavente, O. R., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70124-8 · Cited by 5,560 · see citing works
Self-citationChabriat, H., Joutel, A., Dichgans, M., Tournier-Lasserve, E., & Bousser, M.-G. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70127-9 · Cited by 1,088 · see citing works
Self-citationEnlarged perivascular spaces on MRI are a feature of cerebral small vessel disease
Doubal, F. N., MacLullich, A. M. J., Ferguson, K. J., Dennis, M. S., & Wardlaw, J. M. (2010) · Stroke · doi:10.1161/strokeaha.109.564914 · Cited by 904 · see citing works
Weller, R. O., Subash, M., Preston, S., Mazanti, I., & Carare, R. O. (2008) · Brain Pathology · doi:10.1111/j.1750-3639.2008.00133.x · Cited by 682 · see citing works
Enlarged perivascular spaces are associated with cognitive function in healthy elderly men
MacLullich, A. M. J. (2004) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2003.030858 · Cited by 410 · see citing works
Zhu, Y.-C., Tzourio, C., Soumaré, A., Mazoyer, B., Dufouil, C., & Chabriat, H. (2010) · Stroke · doi:10.1161/strokeaha.110.591586 · Cited by 335 · see citing works
Self-citationThe LADIS Study Group (2011) · Cerebrovascular Diseases · doi:10.1159/000334498 · Cited by 297 · see citing works
Roher, A. E., Kuo, Y., Esh, C. L., Knebel, C., Weiss, N., Kalback, W. M., Luehrs, D. C., Childress, J., Beach, T. G., Weller, R. O., et al. (2003) · Molecular Medicine · doi:10.1007/bf03402043 · Cited by 275 · see citing works
CADASIL: a Common Form of Hereditary Arteriopathy Causing Brain Infarcts and Dementia
Kalimo, H., Ruchoux, M. M., Viitanen, M. H., & Kalaria, R. N. (2002) · Brain Pathology · doi:10.1111/j.1750-3639.2002.tb00451.x · Cited by 265 · see citing works
Groeschel, S., Chong, W. K., Surtees, R., & Hanefeld, F. (2006) · Neuroradiology · doi:10.1007/s00234-006-0112-1 · Cited by 230 · see citing works
Ruchoux, M. M., Domenga, V., Brulin, P., Maciazek, J., Limol, S., Tournier‐Lasserve, E., & Joutel, A. (2003) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)63824-2 · Cited by 229 · see citing works
Viswanathan, A. (2006) · Brain · doi:10.1093/brain/awl177 · Cited by 205 · see citing works
Virchow-Robin spaces relate to cerebral small vessel disease severity
Rouhl, R. P. W., van Oostenbrugge, R. J., Knottnerus, I. L. H., Staals, J. E. A., & Lodder, J. (2008) · Journal of Neurology · doi:10.1007/s00415-008-0777-y · Cited by 179 · see citing works
Topography of dilated perivascular spaces in subjects from a memory clinic cohort
Martinez-Ramirez, S., Pontes-Neto, O. M., Dumas, A. P., Auriel, E., Halpin, A., Quimby, M., Gurol, M. E., Greenberg, S. M., & Viswanathan, A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828f1876 · Cited by 163 · see citing works
Miao, Q., Paloneva, T., Tuominen, S., Pöyhönen, M., Tuisku, S., Viitanen, M. H., & Kalimo, H. (2004) · Brain Pathology · doi:10.1111/j.1750-3639.2004.tb00078.x · Cited by 157 · see citing works
Neuropathological correlates of temporal pole white matter hyperintensities in CADASIL
Yamamoto, Y., Ihara, M., Tham, C., Low, R. W. C., Slade, J. Y., Moss, T., Oakley, A. E., Polvikoski, T., & Kalaria, R. N. (2009) · Stroke · doi:10.1161/strokeaha.108.528299 · Cited by 155 · see citing works
High Degree of Dilated Virchow-Robin Spaces on MRI is Associated with Increased Risk of Dementia
Zhu, Y., Dufouil, C., Soumaré, A., Mazoyer, B. M., Chabriat, H., & Tzourio, C. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100378 · Cited by 141 · see citing works
Self-citationSinghal, S., Rich, P. M., & Markus, H. S. (2005) · PubMed Central · Cited by 133 · see citing works
Brain atrophy is related to lacunar lesions and tissue microstructural changes in CADASIL
Jouvent, E., Viswanathan, A., Mangin, J.-F., O’Sullivan, M., Guichard, J.-P., Gschwendtner, A., Cumurciuc, R., Buffon, F., Peters, N., Pachaï, C., et al. (2007) · Stroke · doi:10.1161/strokeaha.106.478263 · Cited by 109 · see citing works
Self-citationDilation of Virchow‐Robin spaces in CADASIL
Cumurciuc, R., Guichard, J. ‐., Reizine, D., Gray, F., Bousser, M. G., & Chabriat, H. (2006) · European Journal of Neurology · doi:10.1111/j.1468-1331.2006.01113.x · Cited by 100 · see citing works
Self-citationKlarenbeek, P., van Oostenbrugge, R. J., Lodder, J., Rouhl, R. P. W., Knottnerus, I. L. H., & Staals, J. (2012) · Journal of Neurology · doi:10.1007/s00415-012-6598-z · Cited by 70 · see citing works
Yao, M., Jouvent, E., During, M., Godin, O., Hervé, D., Guichard, J. P., Zhu, Y.-C., Gschwendtner, A., Opherk, C., Dichgans, M., et al. (2012) · Stroke · doi:10.1161/strokeaha.112.664854 · Cited by 42 · see citing works
Self-citationA cortical form of CADASIL with cerebral Aβ amyloidosis
Paquet, C., Jouvent, É., Miné, M., Vital, A., Hugon, J., Chabriat, H., & Gray, F. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0758-y · Cited by 19 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Chabriat H, Joutel A, Dichgans M, Tournier- Lasserve E, Bousser MG: CADASIL. Lancet Neurol 2009; 8: 643-653.
Cited by
Sorted by citations
Perivascular spaces in the brain: anatomy, physiology and pathology
Wardlaw, J. M., Benveniste, H., Nedergaard, M., Zlokovic, B. V., Mestre, H., Lee, H., Doubal, F. N., Brown, R., Ramirez, J., MacIntosh, B. J., et al. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0312-z · Cited by 870 · see citing works
Potter, G. M., Chappell, F. M., Morris, Z., & Wardlaw, J. M. (2015) · Cerebrovascular Diseases · doi:10.1159/000375153 · Cited by 500 · see citing works
Perivascular spaces, glymphatic dysfunction, and small vessel disease
Mestre, H., Kostrikov, S., Mehta, R. I., & Nedergaard, M. (2017) · Clinical Science · doi:10.1042/cs20160381 · Cited by 403 · see citing works
Understanding the role of the perivascular space in cerebral small vessel disease
Brown, R., Benveniste, H., Black, S. E., Charpak, S., Dichgans, M., Joutel, A., Nedergaard, M., Smith, K. J., Zloković, B. V., & Wardlaw, J. M. (2018) · Cardiovascular Research · doi:10.1093/cvr/cvy113 · Cited by 342 · see citing works
Self-citationConsensus statement for diagnosis of subcortical small vessel disease
Rosenberg, G. A., Wallin, A., Wardlaw, J. M., Markus, H. S., Montaner, J., WOLFSON, L. I., Iadecola, C., Zloković, B. V., Joutel, A., Dichgans, M., et al. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.172 · Cited by 224 · see citing works
Self-citationFrancis, F., Ballerini, L., & Wardlaw, J. M. (2019) · International Journal of Stroke · doi:10.1177/1747493019830321 · Cited by 221 · see citing works
White Matter Changes in Dementia: Role of Impaired Drainage of Interstitial Fluid
Weller, R. O., Hawkes, C. A., Kalaria, R. N., Werring, D. J., & Carare, R. O. (2014) · Brain Pathology · doi:10.1111/bpa.12218 · Cited by 183 · see citing works
Perosa, V., Oltmer, J., Munting, L. P., Freeze, W. M., Auger, C. A., Scherlek, A. A., van der Kouwe, A. J. W., Iglesias, J. E., Atzeni, A., Bacskai, B. J., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02393-1 · Cited by 161 · see citing works
Global and Regional Changes in Perivascular Space in Idiopathic and Familial Parkinson's Disease
Donahue, E. K., Murdos, A., Jakowec, M. W., Sheikh‐Bahaei, N., Toga, A. W., Petzinger, G. M., & Sepehrband, F. (2021) · Movement Disorders · doi:10.1002/mds.28473 · Cited by 124 · see citing works
Topography and associations of perivascular spaces in healthy adults
Yakushiji, Y., Charidimou, A., Hara, M., Noguchi, T., Nishihara, M., Eriguchi, M., Nanri, Y., Nishiyama, M., Werring, D. J., & Hara, H. (2014) · Neurology · doi:10.1212/wnl.0000000000001054 · Cited by 120 · see citing works
Craggs, L., Yamamoto, Y., Deramecourt, V., & Kalaria, R. N. (2014) · Brain Pathology · doi:10.1111/bpa.12177 · Cited by 95 · see citing works
Novel imaging techniques in cerebral small vessel diseases and vascular cognitive impairment
Banerjee, G., Wilson, D., Jäger, H. R., & Werring, D. J. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.12.010 · Cited by 82 · see citing works
Stojanov, D. A., Vojinović, S., Aracki-Trenkić, A., Tasić, A., Benedeto-Stojanov, D., Ljubisavljević, S., & Vujnović, S. (2015) · Bosnian Journal of Basic Medical Sciences · doi:10.17305/bjbms.2015.247 · Cited by 83 · see citing works
Coupland, K., Lendahl, U., & Karlström, H. (2018) · Stroke · doi:10.1161/strokeaha.118.021560 · Cited by 74 · see citing works
Mensah, G. A., Norrving, B. G., & Feigin, V. L. (2015) · Neuroepidemiology · doi:10.1159/000441082 · Cited by 67 · see citing works
Enlarged Perivascular Spaces and Dementia: A Systematic Review
Smeijer, J. D., Ikram, M. K., & Hilal, S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190527 · Cited by 63 · see citing works
CADASIL: A NOTCH3-associated cerebral small vessel disease
Yuan, L., Chen, X., Jankovic, J. J., & Deng, H. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.01.001 · Cited by 70 · see citing works
The glymphatic system and cerebral small vessel disease
Ang, P. S., Zhang, D. M., Azizi, S., de Matos, S. N., & Brorson, J. R. (2024) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2024.107557 · Cited by 56 · see citing works
Yang, S., Qin, W., Yang, L., Fan, H., Li, Y., Yin, J., & Hu, W. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-015719 · Cited by 46 · see citing works
Hack, R. J., Cerfontaine, M. N., Gravesteijn, G., Tap, S. C., Hafkemeijer, A., van der Grond, J., Witjes‐Ané, M. W., Baas, F., Rutten, J. W., & Oberstein, S. A. J. L. (2022) · Stroke · doi:10.1161/strokeaha.122.039325 · Cited by 45 · see citing works
Loos, C., Klarenbeek, P., van Oostenbrugge, R. J., & Staals, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137323 · Cited by 42 · see citing works
Clinical and research applications of magnetic resonance imaging in the study of CADASIL
Schoemaker, D., Quiroz, Y. T., Torrico-Teave, H., & Arboleda-Velasquez, J. F. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.01.014 · Cited by 36 · see citing works
Ramaswamy, S., Khasiyev, F., & Gutierrez, J. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.122.026601 · Cited by 37 · see citing works
Zhang, K., Zhou, Y., Zhang, W., Li, Q., Sun, J., & Lou, M. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211038138 · Cited by 37 · see citing works
Jones, O., Cutsforth-Gregory, J., Chen, J., Bhatti, M. T., Huston, J., & Brinjikji, W. (2021) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7326 · Cited by 33 · see citing works
Guardia, G. S., Li, H., Willemse, L., Lebenberg, J., Jouvent, É., & Tuladhar, A. M. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70212 · Cited by 30 · see citing works
Chen, H., Huang, L., Yang, D., Ye, Q., Guo, M., Qin, R., Luo, C., Li, M., Ye, L., Zhang, B., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00347 · Cited by 31 · see citing works
Naganawa, S., Nakane, T., Kawai, H., & Taoka, T. (2018) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.mp.2017-0137 · Cited by 30 · see citing works
Abramycheva, N., Stepanova, M., Kalashnikova, L., Zakharova, M., Maximova, M., Tanashyan, M., Lagoda, O., Fedotova, E., Klyushnikov, S., Konovalov, R., et al. (2015) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2015.01.018 · Cited by 28 · see citing works
Rowsthorn, E., Pham, W., Nazem‐Zadeh, M., Law, M., Pase, M. P., & Harding, I. H. (2023) · Fluids and Barriers of the CNS · doi:10.1186/s12987-023-00499-0 · Cited by 28 · see citing works
Kuribara, T., Mikami, T., Komatsu, K., Suzuki, H., Ohnishi, H., Houkin, K., & Mikuni, N. (2017) · BMC Neurology · doi:10.1186/s12883-017-0935-x · Cited by 27 · see citing works
Cognition, mood and behavior in CADASIL
Chabriat, H., & Oberstein, S. A. J. L. (2022) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2022.100043 · Cited by 25 · see citing works
Self-citationZhang, J., Han, F., Liang, X., Li, M. L., Zhang, D., Zhai, F., Zhou, L., Ni, J., Yao, M., Zhang, S., et al. (2020) · Cerebrovascular Diseases · doi:10.1159/000508732 · Cited by 19 · see citing works
Self-citationKulesh, A. A., Евгеньевич, Д. В., & Shestakov, V. V. (2019) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2019-3s-4-17 · Cited by 18 · see citing works
Tao, X., Li, G., Wu, Y.-L., Liu, Y., Zhao, Y., Shi, Y.-H., Zhuang, M.-T., Hou, T.-Y., Zhao, R., Liu, F.-D., et al. (2017) · Neuroradiology · doi:10.1007/s00234-017-1838-7 · Cited by 14 · see citing works
Yu, J., Yan, S., Niu, P., & Teng, J. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.859276 · Cited by 13 · see citing works
Karvelas, N., Oh, B. C., Wang, E., Cobigo, Y., Tsuei, T., Fitzsimons, S., Younes, K., Ehrenberg, A. J., Geschwind, M. D., Schwartz, D., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae071 · Cited by 16 · see citing works
Paraskevas, G. P., Bougea, A. M., Synetou, M., Vassilopoulou, S., Anagnostou, E., Voumvourakis, K. I., Iliopoulos, A., & Spengos, K. M. (2014) · Cerebrovascular Diseases · doi:10.1159/000369000 · Cited by 13 · see citing works
Parillo, M., Vaccarino, F., Gennaro, G. D., Kumar, S., Goethem, J. W. V., Zobel, B. B., Quattrocchi, C. C., Parizel, P. M., & Mallio, C. A. (2024) · Brain Sciences · doi:10.3390/brainsci14020138 · Cited by 12 · see citing works
Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Mercieca, K., Cain, J. R., Hansen, T., Steeples, L. R., Watkins, A., Spencer, A. F., & Jackson, A. (2016) · Scientific Reports · doi:10.1038/srep22160 · Cited by 10 · see citing works
Rutten, J. W., Cerfontaine, M. N., Dijkstra, K. L., Mulder, A. A., Vreijling, J. P., Kruit, M. C., Koning, R. I., de Bot, S. T., van Nieuwenhuizen, K. M., Baelde, H. J., et al. (2024) · Genetics in Medicine · doi:10.1016/j.gim.2024.101105 · Cited by 9 · see citing works
Deep White Matter Lesions Are Associated with Early Recognition of Dementia in Alzheimer’s Disease
Kasahara, H., Ikeda, M., Nagashima, K., Fujita, Y., Makioka, K., Tsukagoshi, S., Yamazaki, T., Takai, E., Sanada, E., Kobayashi, A., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180939 · Cited by 9 · see citing works
Morozova, A., Španiel, F., Škoch, A., Brabec, M., Zolotarov, G., Musil, V., & Zach, P. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120871 · Cited by 6 · see citing works
Cao, T., Yang, C., Zhang, J., Yan, Y., Chen, Z., Peng, X., Xia, C., Pan, M., Zou, C., & Lü, T. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107101 · Cited by 8 · see citing works
NOTCH3 mutations in a cohort of Portuguese patients within CADASIL spectrum phenotype
Almeida, M. R., Elias, I., Fernandes, C., Machado, R., Galego, O., & Santo, G. (2021) · Neurogenetics · doi:10.1007/s10048-021-00679-w · Cited by 8 · see citing works
Liu, L., Tu, L.-D., Shen, Q., Bao, Y., Xu, F., Zhang, D., & Xu, Y. (2024) · Neurological Sciences · doi:10.1007/s10072-024-07438-3 · Cited by 7 · see citing works
Association Between Subclinical Brain Infarcts and Functional Decline Trajectories
Dhamoon, M. S., Cheung, Y.-K. K., DeRosa, J. T., Gutierrez, J., Moon, Y. P., Sacco, R. L., Elkind, M. S. V., & Wright, C. B. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15557 · Cited by 6 · see citing works
Arnardottir, S., Gaudio, F. D., Klironomos, S., Braune, E.-B., Lombraña, A. A., Oliveira, D. V., Jin, S., Karlström, H., Lendahl, U., & Sjöstrand, C. (2021) · Neurology Genetics · doi:10.1212/nxg.0000000000000584 · Cited by 6 · see citing works
Small Vessel Disease Phenotype Associated With Monoallelic NOTCH3 Loss-of-Function Variants
van Asbeck, J. S., Gravesteijn, G., Cerfontaine, M. N., Vreijling, J. P., Mulder, A. A., Koning, R. I., Kruit, M. C., Bersano, A., Muir, K. W., Neilson, S. J., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000214021 · Cited by 7 · see citing works
Cerfontaine, M. N., Gravesteijn, G., Hack, R. J., Dijkstra, K. L., Rodríguez‐Girondo, M., Gesierich, B. G., Witjes‐Ané, M. W., van Doorn, R., Duering, M., Rutten, J. W., et al. (2025) · Annals of Neurology · doi:10.1002/ana.27240 · Cited by 4 · see citing works
Self-citationYu, X., Yin, X., Hong, H., Wang, S., Jiaerken, Y., Xu, D., Zhang, F., Zhang, R., Yang, L., Zhang, B., et al. (2023) · European Radiology · doi:10.1007/s00330-023-09744-4 · Cited by 5 · see citing works
SQSTM1 gene as a potential genetic modifier of CADASIL phenotype
Almeida, M. R., Silva, A. R., Elias, I., Fernandes, C., Machado, R., Galego, O., & Cordeiro, G. (2020) · Journal of Neurology · doi:10.1007/s00415-020-10308-5 · Cited by 3 · see citing works
Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL)
Chabriat, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-56210-0_6 · Cited by 3 · see citing works
Self-citationKarvelas, N., Oh, B. C., Wang, E., Cobigo, Y., Tsuei, T., Fitzsimons, S., Ehrenberg, A. J., Geschwind, M. D., Schwartz, D., Kramer, J. H., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.17.553732 · Cited by 3 · see citing works
NOTCH3 Mutations in CADASIL: a multicellular perspective on neurodegeneration
Lee, J. W. L., Ng, A. S. L., Tan, E., & Zeng, L. (2026) · Cell Communication and Signaling · doi:10.1186/s12964-026-02764-9 · Cited by 2 · see citing works
Quantifying dilated perivascular spaces in children with sickle cell disease
Karkoska, K. A., Gollamudi, J., Sawyer, R. P., Woo, D., & Hyacinth, H. I. (2024) · Pediatric Blood & Cancer · doi:10.1002/pbc.31150 · Cited by 2 · see citing works
Identification of a T2-hyperintense Perivascular Space in Brain Arteriovenous Malformations
Wälchli, T., Bhatia, K. D., Guest, W. C., Bisschop, J., Olijnyk, L., Kortman, H. G. J., Constanthin, P. E., Nicholson, P. J., Monnier, P. P., Kalyvas, A., et al. (2024) · In Vivo · doi:10.21873/invivo.13826 · Cited by 2 · see citing works
Benisty, S., & Chabriat, H. (2020) · Springer eBooks · doi:10.1007/978-3-030-49586-2_7 · Cited by 2 · see citing works
Self-citationParaskevas, G. P., Constantinides, V. C., Paraskevas, P. G., & Kapaki, E. N. (2018) · Asclepius Medical Research and Reviews · doi:10.33309/2639-8605.010105 · Cited by 1 · see citing works
Neuroimaging signs of brain lesions in patients with gene-associated microangiopathy (CADASIL)
Kurochkina, N. S., Moroz, A. A., Коновалов, Р. Н., Abramycheva, N. Y., Кротенкова, М. В., & Illarioshkin, S. N. (2018) · Medical Visualization · doi:10.24835/1607-0763-2018-3-17-25 · Cited by 1 · see citing works
Cerebral Small Vessel Disease and Cerebral Amyloid Angiopathy
Valenti, R. (2019) · Premio Tesi dottorato/Premio Tesi di dottorato · doi:10.36253/978-88-6453-779-5
Experiencias educativas en el Parque Nacional de Doñana
España, M. C. C., Ortiz, E. M. L., & Giner, M. I. C. (1997) · Cuestiones pedagógicas: Revista de ciencias de la educación
Chabriat, H., & Bousser, M. (2017) · EMC - Neurologia · doi:10.1016/s1634-7072(17)85562-8
Self-citationDietemann, J.-L., Draghici, S., Kremer, S., Bogorin, A., Eid, M. A., & Sanda, R. (2018) · Elsevier eBooks · doi:10.1016/b978-2-294-75394-7.00002-3
Rutten, J. W., Cerfontaine, M. N., Dijkstra, K. L., Mulder, A. A., Kruit, M. C., Koning, R. I., de Bot, S. T., van Nieuwenhuizen, K. M., Baelde, H. J., Berendse, H. W., et al. (2023) · medRxiv · doi:10.1101/2023.05.16.23289676
Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL)
Chabriat, H. (2024) · Springer eBooks · doi:10.1007/978-3-031-41777-1_6
Self-citationTroubles neurocognitifs vasculaires et post-AVC
Chabriat, H., Jabouley, A., Reyes, S., & Jouvent, É. (2017) · De Boeck Supérieur eBooks · doi:10.3917/dbu.rouss.2017.01.0037
Self-citationGuey, S., & Chabriat, H. (2026) · Encyclopédie médico-chirurgicale. Neurologie · doi:10.1016/s0246-0378(26)49795-x
Self-citationGuey, S., & Chabriat, H. (2026) · EMC - Neurologia · doi:10.1016/s1634-7072(26)52356-0
Self-citationKarkoska, K. A., Gollamudi, J., Williamson, B. J., Sawyer, R. P., Woo, D., Vagal, A. S., & Hyacinth, H. I. (2026) · British Journal of Haematology · doi:10.1111/bjh.70894
- Authors
- Yao, M., Hervé, D., Jouvent, E., Duering, M., Reyes, S., Godin, O., Guichard, J. P., Dichgans, M., & Chabriat, H.
- Affiliations
- Peking Union Medical College Hospital (CN)
- Sorbonne Paris Cité (FR)
- Munich Cluster for Systems Neurology (DE)
- Assistance Publique – Hôpitaux de Paris (FR)
- German Center for Neurodegenerative Diseases (DE)
- Inserm (FR)
- ORCID
- Venue
- Cerebrovascular Diseases
- Publisher
- S. Karger AG
- Published
- 2014
- Volume
- 37
- Issue
- 3
- Pages
- 155-163
- ISSN
- 1015-9770 (ISSN-L)
- 1421-9786
- OpenAlex
- W2075655093
- Cited by
- 71
- References
- 23
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 10 · 2023: 4 · 2022: 4 · 2021: 6 · 2020: 4 · 2019: 7 · 2018: 8 · 2017: 7 · 2016: 1 · 2015: 7 · 2014: 4
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebrovascular Diseases (publishedVersion)
- PubMed (publishedVersion)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- China Scholarship Council
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Assistance publique-Hôpitaux de Paris
- Stiftung zur Erforschung der Vaskulären Demenz
- Topics
- Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
- Health Sciences › Medicine › Neurology › Intracerebral and Subarachnoid Hemorrhage Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- dilated perivascular spaces, CADASIL, cerebral small vessel disease, white matter hyperintensities, cognitive decline, aging, temporal lobe, white matter, brain parenchymal fraction, microbleeds, lacunar infarction, cerebral microangiopathy
- MeSH terms
- Adult, Aged, Aged, 80 and over, Basal Ganglia, Brain, Cerebral Hemorrhage, Cognition Disorders, Dilatation, Pathologic, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Organ Size, Prospective Studies, Risk Factors, Severity of Illness Index, Temporal Lobe, Imaging, Three-Dimensional, CADASIL, Young Adult, Stroke, Lacunar
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review