Neuroimaging determinants of cognitive impairment in the memory clinic: how important is the vascular burden?

Neurocognitive disorders Neurodegeneration Stroke VBM VLSM Vascular lesion

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
01 Oct 2023
Historique:
received: 10 05 2023
accepted: 15 09 2023
revised: 14 09 2023
medline: 1 10 2023
pubmed: 1 10 2023
entrez: 1 10 2023
Statut: aheadofprint

Résumé

While neurodegenerative and vascular neurocognitive disorder (NCD) often co-occur, the contribution of vascular lesions, especially stroke lesions identified on MRI, to global cognition in a real-life memory clinic population remains unclear. The main objective of this retrospective study was to determine NCD neuroimaging correlates: the GM atrophy pattern and vascular lesions (especially stroke lesion localization by voxel-based lesion-symptom mapping, VLSM) in a memory clinic. We included 336 patients with mild or major NCD who underwent cerebral MRI and a neuropsychological assessment. The GM atrophy pattern (obtained by voxel-based morphometry, VBM) and the stroke lesion localization (obtained by VLSM) associated with G5 z-score (a global cognitive score), were included as independent variables with other neuroimaging and clinical indices in a stepwise linear regression model. The mean age was 70.3 years and the mean MMSE score 21.3. On MRI, 75 patients had at least one stroke lesion. The G 5 z-score was associated with GM density in the pattern selected by the VBM analysis (R

Identifiants

pubmed: 37777991
doi: 10.1007/s00415-023-12009-1
pii: 10.1007/s00415-023-12009-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Références

Neuropathology Group. Medical Research Council Cognitive Function and Aging Study (2001) Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales. Neuropathology Group of the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS). Lancet 357:169–175. https://doi.org/10.1016/s0140-6736(00)03589-3
doi: 10.1016/s0140-6736(00)03589-3
van der Flier WM, Scheltens P (2005) Epidemiology and risk factors of dementia. J Neurol Neurosurg Psychiatry 76:v2–v7. https://doi.org/10.1136/jnnp.2005.082867
doi: 10.1136/jnnp.2005.082867 pubmed: 16291918 pmcid: 1765715
Picard C, Pasquier F, Martinaud O et al (2011) Early onset dementia: characteristics in a large cohort from academic memory clinics. Alzheimer Dis Assoc Disord 25:203–205. https://doi.org/10.1097/WAD.0b013e3182056be7
doi: 10.1097/WAD.0b013e3182056be7 pubmed: 21192236
Duyckaerts C, Bennecib M, Grignon Y et al (1997) Modeling the relation between neurofibrillary tangles and intellectual status. Neurobiol Aging 18:267–273
doi: 10.1016/S0197-4580(97)80306-5 pubmed: 9263190
Seab JP, Jagust WJ, Wong ST et al (1988) Quantitative NMR measurements of hippocampal atrophy in Alzheimer’s disease. Magn Reson Med 8:200–208
doi: 10.1002/mrm.1910080210 pubmed: 3210957
Dickerson BC, Bakkour A, Salat DH et al (2009) The cortical signature of Alzheimer’s disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals. Cereb Cortex 19:497–510. https://doi.org/10.1093/cercor/bhn113
doi: 10.1093/cercor/bhn113 pubmed: 18632739
Besson FL, La Joie R, Doeuvre L et al (2015) Cognitive and brain profiles associated with current neuroimaging biomarkers of preclinical Alzheimer’s disease. J Neurosci 35:10402–10411. https://doi.org/10.1523/JNEUROSCI.0150-15.2015
doi: 10.1523/JNEUROSCI.0150-15.2015 pubmed: 26203136 pmcid: 6605120
Alexander SK, Rittman T, Xuereb JH et al (2014) Validation of the new consensus criteria for the diagnosis of corticobasal degeneration. J Neurol Neurosurg Psychiatr 85:925–929. https://doi.org/10.1136/jnnp-2013-307035
doi: 10.1136/jnnp-2013-307035
Boxer AL, Yu J-T, Golbe LI et al (2017) Advances in progressive supranuclear palsy: new diagnostic criteria, biomarkers, and therapeutic approaches. The Lancet Neurology 16:552–563. https://doi.org/10.1016/S1474-4422(17)30157-6
doi: 10.1016/S1474-4422(17)30157-6 pubmed: 28653647 pmcid: 5802400
Gorno-Tempini ML, Hillis AE, Weintraub S et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014. https://doi.org/10.1212/WNL.0b013e31821103e6
doi: 10.1212/WNL.0b013e31821103e6 pubmed: 21325651 pmcid: 3059138
McKeith IG, Boeve BF, Dickson DW et al (2017) Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium. Neurology 89:88–100. https://doi.org/10.1212/WNL.0000000000004058
doi: 10.1212/WNL.0000000000004058 pubmed: 28592453 pmcid: 5496518
Rascovsky K, Hodges JR, Knopman D et al (2011) Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 134:2456–2477. https://doi.org/10.1093/brain/awr179
doi: 10.1093/brain/awr179 pubmed: 21810890 pmcid: 3170532
Yang J, Pan P, Song W et al (2012) Voxelwise meta-analysis of gray matter anomalies in Alzheimer’s disease and mild cognitive impairment using anatomic likelihood estimation. J Neurol Sci 316:21–29. https://doi.org/10.1016/j.jns.2012.02.010
doi: 10.1016/j.jns.2012.02.010 pubmed: 22385679
Meeter LH, Kaat LD, Rohrer JD, van Swieten JC (2017) Imaging and fluid biomarkers in frontotemporal dementia. Nat Rev Neurol 13:406–419. https://doi.org/10.1038/nrneurol.2017.75
doi: 10.1038/nrneurol.2017.75 pubmed: 28621768
Ossenkoppele R, Pijnenburg YAL, Perry DC et al (2015) The behavioural/dysexecutive variant of Alzheimer’s disease: clinical, neuroimaging and pathological features. Brain 138:2732–2749. https://doi.org/10.1093/brain/awv191
doi: 10.1093/brain/awv191 pubmed: 26141491 pmcid: 4623840
Harper L, Bouwman F, Burton EJ et al (2017) Patterns of atrophy in pathologically confirmed dementias: a voxelwise analysis. J Neurol Neurosurg Psychiatry 88:908–916. https://doi.org/10.1136/jnnp-2016-314978
doi: 10.1136/jnnp-2016-314978 pubmed: 28473626
Sachdev P, Kalaria R, O’Brien J et al (2014) Diagnostic criteria for vascular cognitive disorders: a VASCOG statement. Alzheimer Dis Assoc Disord 28:206–218. https://doi.org/10.1097/WAD.0000000000000034
doi: 10.1097/WAD.0000000000000034 pubmed: 24632990 pmcid: 4139434
Puy L, Barbay M, Roussel M et al (2018) Neuroimaging determinants of poststroke cognitive performance: the GRECogVASC study. Stroke 49:2666–2673. https://doi.org/10.1161/STROKEAHA.118.021981
doi: 10.1161/STROKEAHA.118.021981 pubmed: 30355190
Weaver NA, Zhao L, Biesbroek JM et al (2019) The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study. Alzheimer’s Dementia Diagnosis Assessment Disease Monit 11:310–326. https://doi.org/10.1016/j.dadm.2019.02.007
doi: 10.1016/j.dadm.2019.02.007
Weaver NA, Kuijf HJ, Aben HP et al (2021) Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts. Lancet Neurol 20:448–459. https://doi.org/10.1016/S1474-4422(21)00060-0
doi: 10.1016/S1474-4422(21)00060-0 pubmed: 33901427
White L, Small BJ, Petrovitch H et al (2005) Recent clinical-pathologic research on the causes of dementia in late life: update from the Honolulu-Asia aging study. J Geriatr Psychiatry Neurol 18:224–227. https://doi.org/10.1177/0891988705281872
doi: 10.1177/0891988705281872 pubmed: 16306244
Schneider JA, Arvanitakis Z, Leurgans SE, Bennett DA (2009) The neuropathology of probable Alzheimer disease and mild cognitive impairment. Ann Neurol 66:200–208. https://doi.org/10.1002/ana.21706
doi: 10.1002/ana.21706 pubmed: 19743450 pmcid: 2812870
Kapasi A, DeCarli C, Schneider JA (2017) Impact of multiple pathologies on the threshold for clinically overt dementia. Acta Neuropathol 134:171–186. https://doi.org/10.1007/s00401-017-1717-7
doi: 10.1007/s00401-017-1717-7 pubmed: 28488154 pmcid: 5663642
Oveisgharan S, Dawe RJ, Yu L et al (2022) Frequency and underlying pathology of pure vascular cognitive impairment. JAMA Neurol 79:1277. https://doi.org/10.1001/jamaneurol.2022.3472
doi: 10.1001/jamaneurol.2022.3472 pubmed: 36279115
Toledo JB, Arnold SE, Raible K et al (2013) Contribution of cerebrovascular disease in autopsy confirmed neurodegenerative disease cases in the National Alzheimer’s Coordinating Centre. Brain 136:2697–2706. https://doi.org/10.1093/brain/awt188
doi: 10.1093/brain/awt188 pubmed: 23842566 pmcid: 3858112
Gladman JT, Corriveau RA, Debette S et al (2019) Vascular contributions to cognitive impairment and dementia: research consortia that focus on etiology and treatable targets to lessen the burden of dementia worldwide. Alzheimer’s Dementia Transl Res Clin Interv 5:789–796. https://doi.org/10.1016/j.trci.2019.09.017
doi: 10.1016/j.trci.2019.09.017
Gorelick PB, Scuteri A, Black SE et al (2011) Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 42:2672–2713. https://doi.org/10.1161/STR.0b013e3182299496
doi: 10.1161/STR.0b013e3182299496 pubmed: 21778438 pmcid: 3778669
Sweeney MD, Montagne A, Sagare AP et al (2019) Vascular dysfunction—the disregarded partner of Alzheimer’s disease. Alzheimers Dement 15:158–167. https://doi.org/10.1016/j.jalz.2018.07.222
doi: 10.1016/j.jalz.2018.07.222 pubmed: 30642436 pmcid: 6338083
Heinen R, Groeneveld ON, Barkhof F et al (2020) Small vessel disease lesion type and brain atrophy: the role of co-occurring amyloid. Alzheimers Dement (Amst) 12:e12060. https://doi.org/10.1002/dad2.12060
doi: 10.1002/dad2.12060 pubmed: 32695872
Boomsma JMF, Exalto LG, Barkhof F et al (2017) Vascular cognitive impairment in a memory clinic population: rationale and design of the “Utrecht-Amsterdam Clinical Features and Prognosis in Vascular Cognitive Impairment” (TRACE-VCI) study. JMIR Res Protoc 6:e60. https://doi.org/10.2196/resprot.6864
doi: 10.2196/resprot.6864 pubmed: 28428166 pmcid: 5415656
Association American Psychiatric (2013) Diagnostic and statistical manual of mental disorders: DSM-5, 5th Revised. American Psychiatric Publishing, Washington
doi: 10.1176/appi.books.9780890425596
Albert MS, DeKosky ST, Dickson D et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:270–279. https://doi.org/10.1016/j.jalz.2011.03.008
doi: 10.1016/j.jalz.2011.03.008 pubmed: 21514249 pmcid: 3312027
McKhann GM, Knopman DS, Chertkow H et al (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:263–269. https://doi.org/10.1016/j.jalz.2011.03.005
doi: 10.1016/j.jalz.2011.03.005 pubmed: 21514250 pmcid: 3312024
Nelson PT, Dickson DW, Trojanowski JQ et al (2019) Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain 142:1503–1527. https://doi.org/10.1093/brain/awz099
doi: 10.1093/brain/awz099 pubmed: 31039256 pmcid: 6536849
Höglinger GU, Respondek G, Stamelou M et al (2017) Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria. Mov Disord 32:853–864. https://doi.org/10.1002/mds.26987
doi: 10.1002/mds.26987 pubmed: 28467028 pmcid: 5516529
Oslin D, Atkinson RM, Smith DM, Hendrie H (1998) Alcohol related dementia: proposed clinical criteria. Int J Geriatr Psychiatry 13:203–212
doi: 10.1002/(SICI)1099-1166(199804)13:4<203::AID-GPS734>3.0.CO;2-B pubmed: 9646147
Nakajima M, Yamada S, Miyajima M et al (2021) Guidelines for management of idiopathic normal pressure hydrocephalus (third edition): endorsed by the Japanese Society of normal pressure hydrocephalus. Neurol Med Chir (Tokyo) 61:63–97. https://doi.org/10.2176/nmc.st.2020-0292
doi: 10.2176/nmc.st.2020-0292 pubmed: 33455998
Dubois B, Feldman HH, Jacova C et al (2014) Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol 13:614–629. https://doi.org/10.1016/S1474-4422(14)70090-0
doi: 10.1016/S1474-4422(14)70090-0 pubmed: 24849862
Godefroy O, Leclercq C, Roussel M et al (2012) French adaptation of the vascular cognitive impairment harmonization standards: the GRECOG-VASC study. Int J Stroke 7:362–363. https://doi.org/10.1111/j.1747-4949.2012.00794.x
doi: 10.1111/j.1747-4949.2012.00794.x pubmed: 22583525
Kalafat M, Hugonot-Diener L, Poitrenaud J (2003) Standardisation et étalonnage français du Mini Mental State (MMS) version GRÉCO. Rev Neuropsychol 13:209–236
Thuillard Colombo F, Assal G (1992) Adaptation française du test de dénomination de Boston. Versions abrégées. Eur Rev Appl Psychol 42:67–73
Deloche G, Hannequin D (1997) Test de dénomination orale d’images: DO 80. Éd. du Centre de psychologie appliquée, Paris, France
Albert ML (1973) A simple test of visual neglect. Neurology 23:658–664
doi: 10.1212/WNL.23.6.658 pubmed: 4736313
Rey A (1959) Test de copie d’une figure complexe: Manuel., Les éditions du Centre de Psychologie Appliquée. Paris
Van der Linden M, Coyette F, Poitrenaud J, et les membres du GREMEM (2004) L’épreuve de rappel libre/rappel indicé à 16 items (RL/RI-16)"L’évaluation des troubles de la mémoire. Présentation de quatre tests de mémoire épisodique". Solal, Marseille
Baddeley A, Emslie H, Nimmo-Smith I (1994) Doors and people: a test of visual and verbal recall and recognition. Thames Valley Test Company, Suffolk
Wechsler D, Grégoire J (2000) Echelle d’Intelligence de Wechsler pour adultes: manuel : WAIS-III. Les Editions du Centre de Psychologie Appliquée, Paris
Godefroy O, Azouvi P, Robert P et al (2010) Dysexecutive syndrome: diagnostic criteria and validation study. Ann Neurol 68:855–864. https://doi.org/10.1002/ana.22117
doi: 10.1002/ana.22117 pubmed: 21194155
Cardebat D, Doyon B, Puel M et al (1990) Formal and semantic lexical evocation in normal subjects. Performance and dynamics of production as a function of sex, age and educational level. Acta Neurol Belg 90:207–217
pubmed: 2124031
Reitan R (1958) Validity of trail making tests as an indicator of organic brain damage, Percept Mot skill
Godefroy O, Grefex (Groupe de Réflexion pour l’évaluation des Fonctions EXécutives) (2008) Fonctions exécutives et pathologies neurologiques et psychiatriques: évaluation en pratique clinique, Solal. Marseille
Montgomery SA, Asberg M (1979) A new depression scale designed to be sensitive to change. Br J Psychiatry 134:382–389
doi: 10.1192/bjp.134.4.382 pubmed: 444788
Lewinsohn PM, Seeley JR, Roberts RE, Allen NB (1997) Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging 12:277–287
doi: 10.1037/0882-7974.12.2.277 pubmed: 9189988
Goldberg D, Bridges K, Duncan-Jones P, Grayson D (1988) Detecting anxiety and depression in general medical settings. BMJ 297:897–899
doi: 10.1136/bmj.297.6653.897 pubmed: 3140969 pmcid: 1834427
Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186
doi: 10.1093/geront/9.3_Part_1.179 pubmed: 5349366
Godefroy O, Gibbons L, Diouf M et al (2014) Validation of an integrated method for determining cognitive ability: Implications for routine assessments and clinical trials. Cortex 54:51–62. https://doi.org/10.1016/j.cortex.2014.01.016
doi: 10.1016/j.cortex.2014.01.016 pubmed: 24632464 pmcid: 4737650
Roussel M, Godefroy O (2016) La batterie GRECOGVASC : Evaluation et diagnostic des troubles neurocognitifs vasculaires avec ou sans contexte d’accident vasculaire cérébral. DE BOECK UNIVERSITE
Box GEP, Cox DR (1964) An analysis of transformations. Journal of the Royal Statistical Society Series B (Methodological 211–252
Dufouil C, Dubois B, Vellas B, et al (2017) Cognitive and imaging markers in non-demented subjects attending a memory clinic: study design and baseline findings of the MEMENTO cohort. Alzheimer’s Res Ther. https://doi.org/10.1186/s13195-017-0288-0
Godefroy O, Duhamel A, Leclerc X, et al (1998) Brain–behaviour relationships. Some models and related statistical procedures for the study of brain-damaged patients. Brain 121(Pt 8):1545–1556
Hachinski V, Iadecola C, Petersen RC et al (2006) National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards. Stroke 37:2220–2241. https://doi.org/10.1161/01.STR.0000237236.88823.47
doi: 10.1161/01.STR.0000237236.88823.47 pubmed: 16917086
Cordonnier C, Potter GM, Jackson CA et al (2009) improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS). Stroke 40:94–99. https://doi.org/10.1161/STROKEAHA.108.526996
doi: 10.1161/STROKEAHA.108.526996 pubmed: 19008468
Wardlaw JM, Smith EE, Biessels GJ et al (2013) Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 12:822–838. https://doi.org/10.1016/S1474-4422(13)70124-8
doi: 10.1016/S1474-4422(13)70124-8 pubmed: 23867200 pmcid: 3714437
Fazekas F, Chawluk JB, Alavi A et al (1987) MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol 149:351–356. https://doi.org/10.2214/ajr.149.2.351
doi: 10.2214/ajr.149.2.351 pubmed: 3496763
Wahlund LO, Barkhof F, Fazekas F et al (2001) A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke 32:1318–1322. https://doi.org/10.1161/01.str.32.6.1318
doi: 10.1161/01.str.32.6.1318 pubmed: 11387493
Scheltens P, Leys D, Barkhof F et al (1992) Atrophy of medial temporal lobes on MRI in “probable” Alzheimer’s disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatr 55:967–972
doi: 10.1136/jnnp.55.10.967
Charidimou A, Linn J, Vernooij MW et al (2015) Cortical superficial siderosis: detection and clinical significance in cerebral amyloid angiopathy and related conditions. Brain 138:2126–2139. https://doi.org/10.1093/brain/awv162
doi: 10.1093/brain/awv162 pubmed: 26115675
Doubal FN, MacLullich AMJ, Ferguson KJ et al (2010) Enlarged perivascular spaces on MRI are a feature of cerebral small vessel disease. Stroke 41:450–454. https://doi.org/10.1161/STROKEAHA.109.564914
doi: 10.1161/STROKEAHA.109.564914 pubmed: 20056930
Schmidt P, Gaser C, Arsic M et al (2012) An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. Neuroimage 59:3774–3783. https://doi.org/10.1016/j.neuroimage.2011.11.032
doi: 10.1016/j.neuroimage.2011.11.032 pubmed: 22119648
Ashburner J, Friston KJ (2005) Unified segmentation. Neuroimage 26:839–851. https://doi.org/10.1016/j.neuroimage.2005.02.018
doi: 10.1016/j.neuroimage.2005.02.018 pubmed: 15955494
Resnick SM, Pham DL, Kraut MA et al (2003) Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J Neurosci 23:3295–3301
doi: 10.1523/JNEUROSCI.23-08-03295.2003 pubmed: 12716936 pmcid: 6742337
Tzourio-Mazoyer N, Landeau B, Papathanassiou D et al (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15:273–289. https://doi.org/10.1006/nimg.2001.0978
doi: 10.1006/nimg.2001.0978 pubmed: 11771995
Arnoux A, Toba MN, Duering M et al (2018) Is VLSM a valid tool for determining the functional anatomy of the brain? Usefulness of additional Bayesian network analysis. Neuropsychologia 121:69–78. https://doi.org/10.1016/j.neuropsychologia.2018.10.003
doi: 10.1016/j.neuropsychologia.2018.10.003 pubmed: 30449718
Arnoux A, Triquenot-Bagan A, Andriuta D et al (2017) Imaging characteristics of venous parenchymal abnormalities. Stroke 48:3258–3265. https://doi.org/10.1161/STROKEAHA.117.017937
doi: 10.1161/STROKEAHA.117.017937 pubmed: 29146874
Catani M, Thiebaut de Schotten M (2008) A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex 44:1105–1132. https://doi.org/10.1016/j.cortex.2008.05.004
doi: 10.1016/j.cortex.2008.05.004 pubmed: 18619589
Vermeer SE, Prins ND, den Heijer T et al (2003) Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med 348:1215–1222. https://doi.org/10.1056/NEJMoa022066
doi: 10.1056/NEJMoa022066 pubmed: 12660385
Olsson Y, Brun A, Englund E (1996) Fundamental pathological lesions in vascular dementia. Acta Neurol Scand 94:31–38. https://doi.org/10.1111/j.1600-0404.1996.tb00370.x
doi: 10.1111/j.1600-0404.1996.tb00370.x
Knopman DS, Parisi JE, Boeve BF et al (2003) Vascular dementia in a population-based autopsy study. Arch Neurol 60:569–575. https://doi.org/10.1001/archneur.60.4.569
doi: 10.1001/archneur.60.4.569 pubmed: 12707071
Ferrer I (2010) Cognitive impairment of vascular origin: neuropathology of cognitive impairment of vascular origin. J Neurol Sci 299:139–149. https://doi.org/10.1016/j.jns.2010.08.039
doi: 10.1016/j.jns.2010.08.039 pubmed: 20846674
Ishii K, Kawaguchi T, Shimada K et al (2008) Voxel-based analysis of gray matter and CSF space in idiopathic normal pressure hydrocephalus. Dement Geriatr Cogn Disord 25:329–335. https://doi.org/10.1159/000119521
doi: 10.1159/000119521 pubmed: 18319598
Syaifullah AH, Shiino A, Fujiyoshi A et al (2021) Alcohol drinking and brain morphometry in apparently healthy community-dwelling Japanese men. Alcohol 90:57–65. https://doi.org/10.1016/j.alcohol.2020.11.006
doi: 10.1016/j.alcohol.2020.11.006 pubmed: 33278513
Braak H, Braak E (1991) Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 82:239–259
doi: 10.1007/BF00308809 pubmed: 1759558
Braak H, Braak E (1995) Staging of Alzheimer’s disease-related neurofibrillary changes. Neurobiol Aging 16:271–278; discussion 278–284
Ozzoude M, Ramirez J, Raamana PR et al (2020) Cortical Thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions. Front Neurosci 14:598868. https://doi.org/10.3389/fnins.2020.598868
doi: 10.3389/fnins.2020.598868 pubmed: 33381009 pmcid: 7768006
Debette S, Markus HS (2010) The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 341:c3666. https://doi.org/10.1136/bmj.c3666
doi: 10.1136/bmj.c3666 pubmed: 20660506 pmcid: 2910261
Jacobs HIL, Visser PJ, Van Boxtel MPJ et al (2012) Association between white matter hyperintensities and executive decline in mild cognitive impairment is network dependent. Neurobiol Aging 33:201.e1–8. https://doi.org/10.1016/j.neurobiolaging.2010.07.015
doi: 10.1016/j.neurobiolaging.2010.07.015 pubmed: 20739101
Choe YM, Baek H, Choi HJ et al (2022) Association between enlarged perivascular spaces and cognition in a memory clinic population. Neurology. https://doi.org/10.1212/WNL.0000000000200910.10.1212/WNL.0000000000200910
doi: 10.1212/WNL.0000000000200910.10.1212/WNL.0000000000200910 pubmed: 35764403 pmcid: 9576287
Godefroy O, Spagnolo S, Roussel M, Boucart M (2010) Stroke and action slowing: mechanisms, determinants and prognosis value. Cerebrovasc Dis 29:508–514. https://doi.org/10.1159/000297968
doi: 10.1159/000297968 pubmed: 20299792
Roussel M, Martinaud O, Hénon H, et al (2016) The behavioral and cognitive executive disorders of stroke: the GREFEX Study. PLoS One. https://doi.org/10.1371/journal.pone.0147602

Auteurs

Daniela Andriuta (D)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France. andriuta.daniela@chu-amiens.fr.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France. andriuta.daniela@chu-amiens.fr.

Emmanuel Wiener (E)

Department of Neurology, Versailles - Le Chesnay Medical Center, Le Chesnay-Rocquencourt, France.

Alexandre Perron (A)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

Elisa Ouin (E)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

Ines Masmoudi (I)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

William Thibaut (W)

Department of Neurology, La Reunion University Medical Center, Site South Saint-Pierre, Saint-Pierre, La Reunion, France.

Jeanne Martin (J)

Department of Neurology, Bretagne Atlantique Medical Center, Vannes, France.

Martine Roussel (M)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

Jean-Marc Constans (JM)

Department of Radiology, Amiens University Medical Center, Amiens, France.

Ardalan Aarabi (A)

Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

Olivier Godefroy (O)

Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.

Classifications MeSH