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Zedde M, Romani I, Scaravilli A, Cocozza S, Trojano L, Ragno M, Rifino N, Bersano A, Gerevini S, Pantoni L, Valzania F, Pascarella R. Expanding the Neurological Phenotype of Anderson-Fabry Disease: Proof of Concept for an Extrapyramidal Neurodegenerative Pattern and Comparison with Monogenic Vascular Parkinsonism. Cells 2024; 13:1131. [PMID: 38994983 PMCID: PMC11240674 DOI: 10.3390/cells13131131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/18/2024] [Accepted: 06/25/2024] [Indexed: 07/13/2024] Open
Abstract
Anderson-Fabry disease (AFD) is a genetic sphingolipidosis involving virtually the entire body. Among its manifestation, the involvement of the central and peripheral nervous system is frequent. In recent decades, it has become evident that, besides cerebrovascular damage, a pure neuronal phenotype of AFD exists in the central nervous system, which is supported by clinical, pathological, and neuroimaging data. This neurodegenerative phenotype is often clinically characterized by an extrapyramidal component similar to the one seen in prodromal Parkinson's disease (PD). We analyzed the biological, clinical pathological, and neuroimaging data supporting this phenotype recently proposed in the literature. Moreover, we compared the neurodegenerative PD phenotype of AFD with a classical monogenic vascular disease responsible for vascular parkinsonism and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). A substantial difference in the clinical and neuroimaging features of neurodegenerative and vascular parkinsonism phenotypes emerged, with AFD being potentially responsible for both forms of the extrapyramidal involvement, and CADASIL mainly associated with the vascular subtype. The available studies share some limitations regarding both patients' information and neurological and genetic investigations. Further studies are needed to clarify the potential association between AFD and extrapyramidal manifestations.
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Affiliation(s)
- Marialuisa Zedde
- Neurology Unit, Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy;
| | - Ilaria Romani
- Department of Neurosciences, Psychology, Pharmacology and Child Health, University of Florence, 50139 Firenze, Italy;
| | - Alessandra Scaravilli
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80133 Napoli, Italy; (A.S.); (S.C.)
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80133 Napoli, Italy; (A.S.); (S.C.)
| | - Luigi Trojano
- Dipartimento di Psicologia, Università della Campania ‘Luigi Vanvitelli’, viale Ellittico 31, 81100 Caserta, Italy;
| | - Michele Ragno
- Centro Medico Salute 23, Via O. Licini 5, 63066 Grottammare (AP), Italy;
| | - Nicola Rifino
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milano, Italy; (N.R.); (A.B.)
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milano, Italy; (N.R.); (A.B.)
| | - Simonetta Gerevini
- Head Diagnostic Dept and Neuroradiology Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy;
| | - Leonardo Pantoni
- Neuroscience Research Center, Department of Biomedical and Clinical Science, University of Milan, 20122 Milano, Italy;
| | - Franco Valzania
- Neurology Unit, Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy;
| | - Rosario Pascarella
- Neuroradiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy;
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Salvadori E, Brambilla M, Maestri G, Nicotra A, Cova I, Pomati S, Pantoni L. The clinical profile of cerebral small vessel disease: Toward an evidence-based identification of cognitive markers. Alzheimers Dement 2023; 19:244-260. [PMID: 35362229 PMCID: PMC10084195 DOI: 10.1002/alz.12650] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 01/21/2022] [Accepted: 02/14/2022] [Indexed: 01/18/2023]
Abstract
There is no consensus on which test is more suited to outline the cognitive deficits of cerebral small vessel disease (cSVD) patients. We explored the ability of eight cognitive tests, selected in a previous systematic review as the most commonly used in this population, to differentiate among cSVD patients, controls, and other dementing conditions performing a meta-analysis of 86 studies. We found that cSVD patients performed worse than healthy controls in all tests while data on the comparison to neurodegenerative diseases were limited. We outlined a lack of data on these tests' accuracy on the diagnosis. Cognitive tests measuring processing speed were those mostly associated with neuroimaging cSVD markers. There is currently incomplete evidence that a single test could differentiate cSVD patients with cognitive decline from other dementing diseases. We make preliminary proposals on possible strategies to gain information about the clinical definition of cSVD that currently remains a neuroimaging-based one.
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Affiliation(s)
| | | | - Giorgia Maestri
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Alessia Nicotra
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Ilaria Cova
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Simone Pomati
- Neurology Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Leonardo Pantoni
- "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.,Stroke and Dementia Lab, 'Luigi Sacco' Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
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Brice S, Reyes S, Jabouley A, Machado C, Rogan C, Gastellier N, Alili N, Guey S, Jouvent E, Hervé D, Tezenas du Montcel S, Chabriat H. Trajectory Pattern of Cognitive Decline in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy. Neurology 2022; 99:e1019-e1031. [PMID: 35705499 PMCID: PMC9519251 DOI: 10.1212/wnl.0000000000200805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/14/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The course and pattern of cognitive decline in ischemic cerebral small vessel disease remain poorly characterized. We analyzed the trajectory pattern of cognitive decline from age 25 to 75 years in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). METHODS We applied latent process mixed models to data obtained from patients with CADASIL who were repeatedly scored during their follow-up using 16 selected clinical scales or cognitive tests. RESULTS The modeled evolutions of these scores obtained from 1,243 observations in 265 patients recruited at the French National Referral Centre (50.1 years on average and 45.3% men) showed wide and heterogeneous variations in amplitude along the age-related progression of the disease. Although the Backward Digit Span remained essentially stable, a linear deterioration of scores obtained using the Symbol Digit Numbers or Number of Errors of Trail Making Test B was detected from 25 to 75 years. By contrast, the largest score changes were observed at midlife using the Digit Cancellation Task. All other tests related to executive functions, memory performances, or global cognitive efficiency showed a rate of change accelerating especially at the advanced stage of the disease. Male gender and the presence of gait disorders or of some disability at baseline were found to predict earlier or large changes of 4 scores (Index of Sensitivity to Cueing, Delayed Total Recall, Initiation/Perseveration, and Barthel Index) in a subgroup of individuals distinct from the rest of the sample. DISCUSSION Cognitive alterations develop heterogeneously during the progression of CADASIL and vary largely according to the stage of the disease. These results suggest that not only the target population and study duration but also the stage of disease progression should be considered in preparing future clinical trials aimed at reducing cognitive decline in any such condition.
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Affiliation(s)
- Sandrine Brice
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Sonia Reyes
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Aude Jabouley
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Carla Machado
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Christina Rogan
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Nathalie Gastellier
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Nassira Alili
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Stephanie Guey
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Eric Jouvent
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Dominique Hervé
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Sophie Tezenas du Montcel
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France
| | - Hugues Chabriat
- From the Sorbonne Université (S.B., S.T.d.M.), INSERM, Unité Mixte de Recherche 1136, Institut Pierre Louis d'Épidémiologie et de Santé Publique; Sorbonne Université (S.B., S.T.M.), INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix; Département de Neurologie et Centre Neurovasculaire Translationnel (S.R., A.J., C.M., C.R., N.G., N.A., S.G., E.J., D.H., H.C.), Centre de Référence CERVCO, FHU NeuroVasc, Hôpital Lariboisière, AP-HP, Université de Paris; and INSERM (S.G., E.J., D.H., H.C.), Unité Mixte de Recherche 1161, Paris, France.
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Dounavi ME, Low A, Muniz-Terrera G, Ritchie K, Ritchie CW, Su L, Markus HS, O’Brien JT. Fluid-attenuated inversion recovery magnetic resonance imaging textural features as sensitive markers of white matter damage in midlife adults. Brain Commun 2022; 4:fcac116. [PMID: 35611309 PMCID: PMC9123845 DOI: 10.1093/braincomms/fcac116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 01/28/2022] [Accepted: 05/04/2022] [Indexed: 11/18/2022] Open
Abstract
White matter hyperintensities are common radiological findings in ageing and a typical manifestation of cerebral small vessel disease. White matter hyperintensity burden is evaluated by quantifying their volume; however, subtle changes in the white matter may not be captured by white matter hyperintensity volumetry. In this cross-sectional study, we investigated whether magnetic resonance imaging texture of both white matter hyperintensities and normal appearing white matter was associated with reaction time, white matter hyperintensity volume and dementia risk in a midlife cognitively normal population. Data from 183 cognitively healthy midlife adults from the PREVENT-Dementia study (mean age 51.9 ± 5.4; 70% females) were analysed. White matter hyperintensities were segmented from 3 Tesla fluid-attenuated inversion recovery scans using a semi-automated approach. The fluid-attenuated inversion recovery images were bias field corrected and textural features (intensity mean and standard deviation, contrast, energy, entropy, homogeneity) were calculated in white matter hyperintensities and normal appearing white matter based on generated textural maps. Textural features were analysed for associations with white matter hyperintensity volume, reaction time and the Cardiovascular Risk Factors, Aging and Dementia risk score using linear regression models adjusting for age and sex. The extent of normal appearing white matter surrounding white matter hyperintensities demonstrating similar textural associations to white matter hyperintensities was further investigated by defining layers surrounding white matter hyperintensities at increments of 0.86 mm thickness. Lower mean intensity within white matter hyperintensities was a significant predictor of longer reaction time (t = −3.77, P < 0.01). White matter hyperintensity volume was predicted by textural features within white matter hyperintensities and normal appearing white matter, albeit in opposite directions. A white matter area extending 2.5 – 3.5 mm further from the white matter hyperintensities demonstrated similar associations. White matter hyperintensity volume was not related to reaction time, although interaction analysis revealed that participants with high white matter hyperintensity burden and less homogeneous white matter hyperintensity texture demonstrated slower reaction time. Higher Cardiovascular Risk Factors, Aging, and Dementia score was associated with a heterogeneous normal appearing white matter intensity pattern. Overall, greater homogeneity within white matter hyperintensities and a more heterogeneous normal appearing white matter intensity profile were connected to a higher white matter hyperintensity burden, while heterogeneous intensity was related to prolonged reaction time (white matter hyperintensities of larger volume) and dementia risk (normal appearing white matter). Our results suggest that the quantified textural measures extracted from widely used clinical scans, might capture underlying microstructural damage and might be more sensitive to early pathological changes compared to white matter hyperintensity volumetry.
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Affiliation(s)
- Maria-Eleni Dounavi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Audrey Low
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, United Kingdom
| | | | - Karen Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom
- INM, Univ Montpellier, INSERM, Montpellier, France
| | - Craig W. Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, United Kingdom
- Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Hugh S. Markus
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - John T. O’Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, United Kingdom
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Cognition, mood and behavior in CADASIL. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2022; 3:100043. [PMID: 36324403 PMCID: PMC9616390 DOI: 10.1016/j.cccb.2022.100043] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/06/2022] [Accepted: 02/06/2022] [Indexed: 01/02/2023]
Abstract
CADASIL is responsible for cognitive, mood or behavior disturbances. Cognitive disturbances range from moderate cognitive slowing to impairment of executive functions and may progress to a global decrease of cognitive efficiency up to severe dementia. Mood disturbances are extremely variable in intensity, depression is the most frequent symptom. Behavioral changes may occur at all stage of the disease, but are often associated with the onset of cognitive alterations. Apathy is the most prominent behavior alteration.
CADASIL is the most common familial cerebral small vessel disease (cSVD). Stereotyped mutations of the NOTCH3 gene are responsible for this archetypal ischemic cSVD that can lead, at the very end stage, to severe dementia. Variable cognitive alterations, mood, or behavior disturbances are frequently observed during the course of the disease. In this review, these clinical manifestations, their occurrence, severity and duration are analyzed in relation to the disease progression. Also, the potential relationships with cerebral lesions and treatment options are discussed.
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Smirnov M, Destrieux C, Maldonado IL. Cerebral white matter vasculature: still uncharted? Brain 2021; 144:3561-3575. [PMID: 34718425 DOI: 10.1093/brain/awab273] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/17/2021] [Accepted: 07/11/2021] [Indexed: 11/14/2022] Open
Abstract
White matter vasculature plays a major role in the pathophysiology of permanent neurological deficits following a stroke or progressive cognitive alteration related to small vessel disease. Thus, knowledge of the complex vascularization and functional aspects of the deep white matter territories is paramount to comprehend clinical manifestations of brain ischemia. This review provides a structured presentation of the existing knowledge of the vascularization of the human cerebral white matter from seminal historical studies to the current literature. First, we revisit the highlights of prenatal development of the endoparenchymal telencephalic vascular system that are crucial for the understanding of vessel organization in the adult. Second, we reveal the tangled history of debates on the existence, clinical significance, and physiological role of leptomeningeal anastomoses. Then, we present how conceptions on white matter vascularization transitioned from the mixed ventriculopetal/ventriculofugal theory, in which a low-flow area was interposed in between concurrent arterial flows, to the purely ventriculopetal theory. The latter model explains variable white matter sensitivity to ischemia by various organizations of ventriculopetal vessel terminals having different origin/length properties and interconnection patterns. Next, arteries supplying primarily the white matter are described according to their length and overall structure. Furthermore, the known distribution territories, to date, are studied in relation to primary anatomical structures of the human cerebral white matter, emphasizing the sparsity of the "ground-truth" data available in the literature. Finally, the implications for both large vessel occlusion and chronic small vessel disease are discussed, as well as the insights from neuroimaging. All things considered, we identify the need for further research on deep white matter vascularization, especially regarding the arterial supply of white matter fiber tracts.
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Affiliation(s)
- Mykyta Smirnov
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.,CHRU de Tours, Tours, France
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Low A, Su L, Stefaniak JD, Mak E, Dounavi ME, Muniz-Terrera G, Ritchie K, Ritchie CW, Markus HS, O'Brien JT. Inherited risk of dementia and the progression of cerebral small vessel disease and inflammatory markers in cognitively healthy midlife adults: the PREVENT-Dementia study. Neurobiol Aging 2021; 98:124-133. [PMID: 33264710 PMCID: PMC7895800 DOI: 10.1016/j.neurobiolaging.2020.10.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/26/2020] [Accepted: 10/28/2020] [Indexed: 02/05/2023]
Abstract
Cerebral small vessel disease (SVD) and inflammation are increasingly recognized as key contributors to Alzheimer's disease (AD), although the timing, trajectory, and relation between them early in the disease process is unclear. Therefore, to investigate very early-stage changes, we compared 158 healthy midlife adults with and without inherited AD predisposition (APOE4 carriership (38% positive), parental family history (FH) of dementia (54% positive)) on markers of SVD (white matter hyperintensities (WMH), cerebral microbleeds), and inflammation (C-reactive protein (CRP), fibrinogen), cross-sectionally and longitudinally over two years. While WMH severity was comparable between groups at baseline, longitudinal progression of WMH was greater in at-risk groups (APOE4+ and FH+). Topographically, APOE4 was associated exclusively with deep, but not periventricular, WMH progression after adjusting for FH. Conversely, APOE4 carriers displayed lower CRP levels than noncarriers, but not fibrinogen. Furthermore, interaction analysis showed that FH moderated the effect of SVD and inflammation on reaction time, an early feature of SVD, but not episodic memory or executive function. Findings suggest that vascular and inflammatory changes could occur decades before dementia onset, and may be of relevance in predicting incipient clinical progression.
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Affiliation(s)
- Audrey Low
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - James D Stefaniak
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Elijah Mak
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Maria-Eleni Dounavi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Karen Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK; INSERM, Montpellier, France
| | - Craig W Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - John T O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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Richards E, Bayer A, Hanley C, Norris JE, Tree JJ, Tales A. Reaction Time and Visible White Matter Lesions in Subcortical Ischemic Vascular Cognitive Impairment. J Alzheimers Dis 2020; 72:859-865. [PMID: 31658059 PMCID: PMC6918906 DOI: 10.3233/jad-190823] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Slowed behavioral reaction time is associated with pathological brain changes, including white matter lesions, the common clinical characteristic of subcortical ischemic vascular cognitive impairment (SIVCI). In the present study, reaction time (RT) employing Trails B of the Trail Making Test, with responses capped at 300 s, was investigated in SIVCI (n = 27) compared to cognitively healthy aging (CH) (n = 26). RT was significantly slowed in SIVCI compared to CH (Cohen’s d effect size = 1.26). Furthermore, failure to complete Trails B within 300 s was also a characteristic of SIVCI although some ostensibly cognitively healthy older adults also failed to complete within this time limit. Within the SIVCI group, RT did not differ significantly with respect to whether the patients were classified as having moderate/severe or mild, periventricular white matter changes visible on their diagnostic CT/MRI scans. This, together with the high degree of overlap in RT between the two SIVCI subgroups, raises the possibility that using visible ratings scales in isolation may lead to the underestimation of disease level.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
| | - Antony Bayer
- Department of Medicine, Cardiff University, Cardiff, UK
| | - Claire Hanley
- Department of Psychology, Swansea University, Swansea, UK
| | | | - Jeremy J Tree
- Department of Psychology, Swansea University, Swansea, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
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Richards E, Bayer A, Tree JJ, Hanley C, Norris JE, Tales A. Subcortical Ischemic Vascular Cognitive Impairment: Insights from Reaction Time Measures. J Alzheimers Dis 2020; 72:845-857. [PMID: 31594238 PMCID: PMC6918912 DOI: 10.3233/jad-190889] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In this study, reaction time (RT), intraindividual variability (IIV), and errors, and the effects of practice and processing load upon such function, were compared in patients with subcortical ischemic vascular cognitive impairment (SIVCI) [n = 27] and cognitively healthy older adults (CH) [n = 26]. Compared to CH aging, SIVCI was characterized by a profile of significantly slowed RT, raised IIV, and higher error levels, particularly in the presence of distracting stimuli, indicating that the integrity and/or accessibility of the additional functions required to support high processing load, serial search strategies, are reduced in SIVCI. Furthermore, although practice speeded RT in SIVCI, unlike CH, practice did not lead to an improvement in IIV. This indicates that improvement in RT in SIVCI can in fact mask an abnormally high degree of IIV. Because IIV appears more related to disease, function, and health than RT, its status and potential for change may represent a particularly meaningful, and relevant, disease characteristic of SIVCI. Finally, a high level of within-group variation in the above measures was another characteristic of SIVCI, with such processing heterogeneity in patients with ostensibly the same diagnosis, possibly related to individual variation in pathological load. Detailed measurement of RT, IIV, errors, and practice effects therefore reveal a degree of functional impairment in brain processing not apparent by measuring RT in isolation.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
| | - Antony Bayer
- Department of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy J Tree
- Department of Psychology, Swansea University, Swansea, UK
| | - Claire Hanley
- Department of Psychology, Swansea University, Swansea, UK
| | | | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK
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Rutten JW, Hack RJ, Duering M, Gravesteijn G, Dauwerse JG, Overzier M, van den Akker EB, Slagboom E, Holstege H, Nho K, Saykin A, Dichgans M, Malik R, Lesnik Oberstein SAJ. Broad phenotype of cysteine-altering NOTCH3 variants in UK Biobank: CADASIL to nonpenetrance. Neurology 2020; 95:e1835-e1843. [PMID: 32732295 PMCID: PMC7682826 DOI: 10.1212/wnl.0000000000010525] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 04/07/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the small vessel disease spectrum associated with cysteine-altering NOTCH3 variants in community-dwelling individuals by analyzing the clinical and neuroimaging features of UK Biobank participants harboring such variants. METHODS The exome and genome sequencing datasets of the UK Biobank (n = 50,000) and cohorts of cognitively healthy elderly (n = 751) were queried for cysteine-altering NOTCH3 variants. Brain MRIs of individuals harboring such variants were scored according to Standards for Reporting Vascular Changes on Neuroimaging criteria, and clinical information was extracted with ICD-10 codes. Clinical and neuroimaging data were compared to age- and sex-matched UK Biobank controls and clinically diagnosed patients from the Dutch cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) registry. RESULTS We identified 108 individuals harboring a cysteine-altering NOTCH3 variant (2.2 of 1,000), of whom 75% have a variant that has previously been reported in CADASIL pedigrees. Almost all variants were located in 1 of the NOTCH3 protein epidermal growth factor-like repeat domains 7 to 34. White matter hyperintensity lesion load was higher in individuals with NOTCH3 variants than in controls (p = 0.006) but lower than in patients with CADASIL with the same variants (p < 0.001). Almost half of the 24 individuals with brain MRI had a Fazekas score of 0 or 1 up to age 70 years. There was no increased risk of stroke. CONCLUSIONS Although community-dwelling individuals harboring a cysteine-altering NOTCH3 variant have a higher small vessel disease MRI burden than controls, almost half have no MRI abnormalities up to age 70 years. This shows that NOTCH3 cysteine altering variants are associated with an extremely broad phenotypic spectrum, ranging from CADASIL to nonpenetrance.
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Affiliation(s)
- Julie W Rutten
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis.
| | - Remco J Hack
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Marco Duering
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Gido Gravesteijn
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Johannes G Dauwerse
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Maurice Overzier
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Erik B van den Akker
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Eline Slagboom
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Henne Holstege
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Kwangsik Nho
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Andrew Saykin
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Martin Dichgans
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Rainer Malik
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
| | - Saskia A J Lesnik Oberstein
- From the Center for Hereditary Small Vessel Disease, Department of Clinical Genetics (J.W.R., R.J.H., G.G., J.G.D., S.A.J.L.O.), Department of Human Genetics (M.O.), Department of Biomedical Data Sciences (E.B.v.d.A.), and Department of Biomedical Data Sciences (E.S.), Leiden University Medical Center, the Netherlands; Institute for Stroke and Dementia Research (M.D., M.D., R.M.), University Hospital, LMU Munich, Germany; Pattern Recognition & Bioinformatics (E.B.v.d.A., H.H.), Delft University of Technology; Alzheimer Center Amsterdam (H.H.), Department of Neurology, Amsterdam Neuroscience, and Department of Clinical Genetics (H.H.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; and Department of Radiology and Imaging Sciences (K.N., A.S.), Indiana Alzheimer Disease Center, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis
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Chabriat H, Joutel A, Tournier‐Lasserve E, Bousser MG. CADASIL: yesterday, today, tomorrow. Eur J Neurol 2020; 27:1588-1595. [DOI: 10.1111/ene.14293] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 04/28/2020] [Indexed: 12/27/2022]
Affiliation(s)
- H. Chabriat
- Department of Neurology and CERVCO Reference Center for Rare Vascular Diseases of the Eye and Brain Hôpital Lariboisiére, APHP Paris France
- INSERM U 1141 Paris France
- University of Paris Paris France
| | - A. Joutel
- University of Paris Paris France
- Institute of Psychiatry and Neurosciences of Paris INSERM U1266 Paris France
| | - E. Tournier‐Lasserve
- INSERM U 1141 Paris France
- University of Paris Paris France
- Molecular Genetics Department and CERVCO Reference Center for Rare Vascular Diseases of the Eye and Brain Hopital Lariboisiére, APHP Paris France
| | - M. G. Bousser
- Department of Neurology and CERVCO Reference Center for Rare Vascular Diseases of the Eye and Brain Hôpital Lariboisiére, APHP Paris France
- University of Paris Paris France
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12
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Chabriat H, Jouvent E. Imaging of the aging brain and development of MRI signal abnormalities. Rev Neurol (Paris) 2020; 176:661-669. [PMID: 32229042 DOI: 10.1016/j.neurol.2019.12.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 12/14/2019] [Accepted: 12/16/2019] [Indexed: 02/04/2023]
Abstract
Major changes occur at the cerebral level with aging. Cerebral atrophy develops progressively. Multiple lesions related to small-vessel diseases are detected in association with cerebral atrophy including white-matter hyperintensities, lacunes, microbleeds, dilated perivascular spaces and cerebral, including cortex, atrophy. The clinical impact and predictive value of these Imaging makers were examined.
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Affiliation(s)
- H Chabriat
- Inserm U1161 and DHU NeuroVasc, department of neurology, Paris University, Lariboisiere Hospital,Assistance Publique-Hopitaux de Paris, Paris, France.
| | - E Jouvent
- Inserm U1161 and DHU NeuroVasc, department of neurology, Paris University, Lariboisiere Hospital,Assistance Publique-Hopitaux de Paris, Paris, France
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13
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Cognitive dysfunction and brain atrophy in Susac syndrome. J Neurol 2019; 267:994-1003. [DOI: 10.1007/s00415-019-09664-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/30/2019] [Accepted: 12/03/2019] [Indexed: 10/25/2022]
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14
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Reduced resting-state brain functional network connectivity and poor regional homogeneity in patients with CADASIL. J Headache Pain 2019; 20:103. [PMID: 31711415 PMCID: PMC6849263 DOI: 10.1186/s10194-019-1052-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/10/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) manifests principally as a suite of cognitive impairments, particularly in the executive domain. Executive functioning requires the dynamic coordination of neural activity over large-scale networks. It remains unclear whether changes in resting-state brain functional network connectivity and regional homogeneities (ReHos) underly the mechanisms of executive dysfunction evident in CADASIL patients. METHODS In this study, 22 CADASIL patients and 44 matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI). Independent component analysis (ICA) was used to measure functional brain network connectivity, and ReHos were calculated to evaluate local brain activities. We used seed-based functional connectivity (FC) analyses to determine whether dysfunctional areas (as defined by ReHos) exhibited abnormal FC with other brain areas. Relationships among the mean intra-network connectivity z-scores of dysfunctional areas within functional networks, and cognitive scores were evaluated using Pearson correlation analyses. RESULTS Compared to the controls, CADASIL patients exhibited decreased intra-network connectivity within the bilateral lingual gyrus (LG) and the right cuneus (CU) (thus within the visual network [VIN)], and within the right precuneus (Pcu), inferior frontal gyrus (IFG), and precentral gyrus (thus within the frontal network [FRN]). Compared to the controls, patients also exhibited significantly lower ReHos in the right precuneus and cuneus (Pcu/CU), visual association cortex, calcarine gyri, posterior cingulate, limbic lobe, and weaker FC between the right Pcu/CU and the bilateral parahippocampal gyrus (PHG), and between the right Pcu/CU and the right postcentral gyrus. Notably, the mean connectivity z-scores of the bilateral LG and the right CU within the VIN were positively associated with compromised attention, calculation and delayed recall as revealed by tests of the various cognitive domains explored by the Mini-Mental State Examination. CONCLUSIONS The decreases in intra-network connectivity within the VIN and FRN and reduced local brain activity in the posterior parietal area suggest that patients with CADASIL may exhibit dysfunctional visuomotor behaviors (a hallmark of executive function), and that all visual information processing, visuomotor planning, and movement execution may be affected.
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Su J, Wang M, Ban S, Wang L, Cheng X, Hua F, Tang Y, Zhou H, Zhai Y, Du X, Liu J. Relationship between changes in resting-state spontaneous brain activity and cognitive impairment in patients with CADASIL. J Headache Pain 2019; 20:36. [PMID: 30995925 PMCID: PMC6734224 DOI: 10.1186/s10194-019-0982-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/14/2019] [Indexed: 01/15/2023] Open
Abstract
Background Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) mainly manifests with cognitive impairment. Cognitive deficits in patients with CADASIL are correlated with structural brain changes such as lacunar lesion burden, normalized brain volume, and anterior thalamic radiation lesions, but changes in resting-state functional brain activity in patients with CADASIL have not been reported. Methods This study used resting-state functional magnetic resonance imaging (fMRI) to measure the amplitude of low-frequency fluctuation (ALFF) in 22 patients with CADASIL and 44 healthy matched controls. A seed-based functional connectivity (FC) analysis was used to investigate whether the dysfunctional areas identified by ALFF analysis exhibited abnormal FC with other brain areas. Pearson’s correlation analysis was used to detect correlations between the ALFF z-score of abnormal brain areas and clinical scores in patients with CADASIL. Results Patients with CADASIL exhibited significantly lower ALFF values in the right precuneus and cuneus (Pcu/CU) and higher ALFF values in the bilateral superior frontal gyrus (SFG) and left cerebellar anterior and posterior lobes compared with controls. Patients with CADASIL showed weaker FC between the areas with abnormal ALFF (using peaks in the left and right SFG and the right Pcu/CU) and other brain areas. Importantly, the ALFF z-scores for the left and right SFG were negatively associated with cognitive performance, including Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment scores (MoCA), respectively, whereas those of the right Pcu/CU were positively correlated with the MMSE score. Conclusions This preliminary study provides evidence for changes in ALFF of the right Pcu/CU, bilateral SFG and left cerebellar anterior and posterior lobes, and associations between ALFF values for abnormal brain areas and cognitive performance in patients with CADASIL. Therefore, spontaneous brain activity may be a novel imaging biomarker of cognitive impairment in this population.
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Affiliation(s)
- Jingjing Su
- Department of Neurology and Jiuyuan Municipal Stroke Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, People's Republic of China
| | - Mengxing Wang
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, People's Republic of China.,College of Medical Imaging, Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, People's Republic of China
| | - Shiyu Ban
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, People's Republic of China
| | - Liang Wang
- Department of Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, People's Republic of China
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, People's Republic of China
| | - Fengchun Hua
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, People's Republic of China
| | - Yuping Tang
- Department of Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, People's Republic of China
| | - Houguang Zhou
- Department of Geriatrics Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, People's Republic of China
| | - Yu Zhai
- Department of Neurology and Jiuyuan Municipal Stroke Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
| | - Xiaoxia Du
- Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, School of Physics and Materials Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, People's Republic of China.
| | - Jianren Liu
- Department of Neurology and Jiuyuan Municipal Stroke Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
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Bento-Torres NVO, Bento-Torres J, Tomás AM, Souza LGTD, Freitas JOD, Pantoja JADS, Picanço-Diniz CW. WATER-BASED EXERCISE AND RESISTANCE TRAINING IMPROVE COGNITION IN OLDER ADULTS. REV BRAS MED ESPORTE 2019. [DOI: 10.1590/1517-869220192501190627] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
ABSTRACT Introduction: Physical exercise has been associated with maintenance of physical abilities and the reduction of age-related cognitive decline, and is considered both a low-cost primary prevention strategy and a non-pharmacological treatment of cognitive dysfunction in older people. However, the contribution of each type of physical exercise to the cognitive health of the elderly population has not yet been fully investigated. Objective: This study investigated the possible influences of water-based and resistance training exercises on the cognitive performance of healthy older adults in automated tests, and investigated which test(s) would be the most effective indicator of differences in aging cognitive performance. Methods: Three groups of community-dwelling healthy older adults: water-based exercise group, resistance training group and sedentary group, were assessed using an automated set of neuropsychological tests (CANTAB) and tests to assess functional exercise capacity. Results were compared by one-way analysis of variance (ANOVA) and Pearson linear correlation. Results: The water-based exercise group had the best functional exercise capacity scores and the best performance in the reaction time evaluation (response and movement latencies). The resistance training group had less movement latency than the sedentary group. Functional mobility was positively correlated with response and movement latency. Conclusions: Taken together our findings show that physical exercise contributes to the preservation of cognitive function in healthy older adults and that water-based exercise has better results than resistance training in terms of reaction time. Moreover, the changes related to reaction time function were detected before the changes in working memory functions, sustained attention and learning in the sedentary participants, suggesting that this variable could be an early sensitive indicator of subtle cognitive changes associated with aging. Level of Evidence II; Retrospective study.
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Affiliation(s)
| | - João Bento-Torres
- Universidade Federal do Pará, Brazil; Universidade Federal do Pará, Brazil
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17
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De Guio F, Vignaud A, Chabriat H, Jouvent E. Different types of white matter hyperintensities in CADASIL: Insights from 7-Tesla MRI. J Cereb Blood Flow Metab 2018; 38:1654-1663. [PMID: 28128022 PMCID: PMC6125962 DOI: 10.1177/0271678x17690164] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
In Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL), by contrast to sporadic cerebral small vessel disease related to age and hypertension, white matter hyperintensities (WMH) are frequently observed in the white matter of anterior temporal poles, external capsules, and superior frontal regions. Whether these WMH (specific WMH) differ from those observed in other white matter areas (nonspecific WMH) remains unknown. Twenty patients were scanned to compare specific and nonspecific WMH using high-resolution images and analyses of relaxation times (T1R: longitudinal relaxation time and T2*R: effective transversal relaxation time). Specific WMH were characterized by significantly longer T1R and T2*R (T1R: 2309 ± 120 ms versus 2145 ± 138 ms; T2*R: 40 ± 5 ms versus 35 ± 5 ms, p < 0.001). These results were not explained by the presence of dilated perivascular spaces found in the close vicinity of specific WMH. They were not either explained by the normal regional variability of T1R and T2*R in the white matter nor by systematic imaging artifacts as shown by the study of 17 age- and sex-matched healthy controls. Our results suggest large differences in water content between specific and nonspecific WMH in CADASIL, supporting that mechanisms underlying WMH may differ according to their location.
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Affiliation(s)
- François De Guio
- 1 University Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France.,2 DHU NeuroVasc Sorbonne Paris Cité, Paris, France
| | | | - Hugues Chabriat
- 1 University Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France.,2 DHU NeuroVasc Sorbonne Paris Cité, Paris, France.,4 AP-PH, Lariboisière Hosp., Department of neurology, F-75475, Paris, France
| | - Eric Jouvent
- 1 University Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France.,2 DHU NeuroVasc Sorbonne Paris Cité, Paris, France.,4 AP-PH, Lariboisière Hosp., Department of neurology, F-75475, Paris, France.,5 UNIACT, NeuroSpin, I2BM/DSV, CEA, Gif-sur-Yvette, France
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18
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Ter Telgte A, Wiegertjes K, Tuladhar AM, Noz MP, Marques JP, Gesierich B, Huebner M, Mutsaerts HJM, Elias-Smale SE, Beelen MJ, Ropele S, Kessels RP, Riksen NP, Klijn CJ, Norris DG, Duering M, de Leeuw FE. Investigating the origin and evolution of cerebral small vessel disease: The RUN DMC - InTENse study. Eur Stroke J 2018; 3:369-378. [PMID: 31236485 PMCID: PMC6571506 DOI: 10.1177/2396987318776088] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 04/17/2018] [Indexed: 01/24/2023] Open
Abstract
Background Neuroimaging in older adults commonly reveals signs of cerebral small vessel
disease (SVD). SVD is believed to be caused by chronic hypoperfusion based
on animal models and longitudinal studies with inter-scan intervals of
years. Recent imaging evidence, however, suggests a role for acute
ischaemia, as indicated by incidental diffusion-weighted imaging lesions
(DWI+ lesions), in the origin of SVD. Furthermore, it becomes increasingly
recognised that focal SVD lesions likely affect the structure and function
of brain areas remote from the original SVD lesion. However, the temporal
dynamics of these events are largely unknown. Aims (1) To investigate the monthly incidence of DWI+ lesions in subjects with
SVD; (2) to assess to which extent these lesions explain progression of SVD
imaging markers; (3) to investigate their effects on cortical thickness,
structural and functional connectivity and cognitive and motor performance;
and (4) to investigate the potential role of the innate immune system in the
pathophysiology of SVD. Design/methods The RUN DMC – InTENse study is a longitudinal observational study among 54
non-demented RUN DMC survivors with mild to severe SVD and no other presumed
cause of ischaemia. We performed MRI assessments monthly during 10
consecutive months (totalling up to 10 scans per subject), complemented with
clinical, motor and cognitive examinations. Discussion Our study will provide a better understanding of the role of DWI+ lesions in
the pathophysiology of SVD and will further unravel the structural and
functional consequences and clinical importance of these lesions, with an
unprecedented temporal resolution. Understanding the role of acute,
potentially ischaemic, processes in SVD may provide new strategies for
therapies.
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Affiliation(s)
- Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marlies P Noz
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Mathias Huebner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | | | - Suzette E Elias-Smale
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marie-José Beelen
- Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Roy Pc Kessels
- Department of Medical Psychology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Niels P Riksen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina Jm Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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19
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Yue L, Wang T, Wang J, Li G, Wang J, Li X, Li W, Hu M, Xiao S. Asymmetry of Hippocampus and Amygdala Defect in Subjective Cognitive Decline Among the Community Dwelling Chinese. Front Psychiatry 2018; 9:226. [PMID: 29942265 PMCID: PMC6004397 DOI: 10.3389/fpsyt.2018.00226] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 05/08/2018] [Indexed: 01/16/2023] Open
Abstract
Background: Subjective cognitive decline (SCD) may be the first clinical sign of Alzheimer's disease (AD). SCD individuals with normal cognition may already have significant medial temporal lobe atrophy. However, few studies have been devoted to exploring the alteration of left-right asymmetry with hippocampus and amygdala in SCD. The aim of this study was to compare SCD individuals with amnestic mild cognitive impairment (MCI) patients and the normal population for volume and asymmetry of hippocampus, amygdala and temporal horn, and to assess their relationship with cognitive function in elderly population living in China. Methods: 111 SCD, 30 MCI, and 67 healthy controls (HC) underwent a standard T1-weighted MRI, from which the volumes of the hippocampus and amygdala were calculated and compared. Then we evaluated the pattern and extent of asymmetry in hippocampus and amygdala of these samples. Furthermore, we also investigated the relationship between the altered brain regions and cognitive function. Results: Among the three groups, SCD showed more depressive symptoms (p < 0.001) and higher percentage of heart disease (16.4% vs. 35.1%, p = 0.007) than controls. In terms of brain data, significant differences were found in the volume and asymmetry of both hippocampus and amygdala among the three groups (P < 0.05). In logistic analysis controlled by age, gender, education level, depression symptoms, anxiety symptom, somatic disease and lifestyle in terms of smoking, both SCD and MCI individuals showed significant decreased right hippocampal and amygdala volume than controls. For asymmetry pattern, a ladder-shaped difference of left-larger-than-right asymmetry was found in amygdala with MCI>SCD>HC, and an opposite asymmetry of left-less-than-right pattern was found with HC>SCD>MCI in hippocampus. Furthermore, correlation was shown between the volume of right hippocampus and right amygdala with MMSE and MoCA in SCD group. Conclusion: Our results supported that SCD individuals are biologically distinguishable from HC, and this may relate to cognitive impairment, although more longitudinal studies are need to investigate this further.Moreover, different levels of asymmetry in hippocampus and amygdala might be a potential dividing factor to differentiate clinical diagnosis.
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Affiliation(s)
- Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jingyi Wang
- Division of Psychiatry, University of College London, London, United Kingdom
| | - Guanjun Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jinghua Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Mingxing Hu
- Department of Computer Science, University of College London, London, United Kingdom
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
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20
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Delorme S, De Guio F, Reyes S, Jabouley A, Chabriat H, Jouvent E. Reaction Time Is Negatively Associated with Corpus Callosum Area in the Early Stages of CADASIL. AJNR Am J Neuroradiol 2017; 38:2094-2099. [PMID: 28912283 DOI: 10.3174/ajnr.a5378] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 06/23/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Reaction time was recently recognized as a marker of subtle cognitive and behavioral alterations in the early clinical stages of CADASIL, a monogenic cerebral small-vessel disease. In unselected patients with CADASIL, brain atrophy and lacunes are the main imaging correlates of disease severity, but MR imaging correlates of reaction time in mildly affected patients are unknown. We hypothesized that reaction time is independently associated with the corpus callosum area in the early clinical stages of CADASIL. MATERIALS AND METHODS Twenty-six patients with CADASIL without dementia (Mini-Mental State Examination score > 24 and no cognitive symptoms) and without disability (modified Rankin Scale score ≤ 1) were compared with 29 age- and sex-matched controls. Corpus callosum area was determined on 3D-T1 MR imaging sequences with validated methodology. Between-group comparisons were performed with t tests or χ2 tests when appropriate. Relationships between reaction time and corpus callosum area were tested using linear regression modeling. RESULTS Reaction time was significantly related to corpus callosum area in patients (estimate = -7.4 × 103, standard error = 3.3 × 103, P = .03) even after adjustment for age, sex, level of education, and scores of depression and apathy (estimate = -12.2 × 103, standard error = 3.8 × 103, P = .005). No significant relationship was observed in controls. CONCLUSIONS Corpus callosum area, a simple and robust imaging parameter, appears to be an independent correlate of reaction time at the early clinical stages of CADASIL. Further studies will determine whether corpus callosum area can be used as an outcome in future clinical trials in CADASIL or in more prevalent small-vessel diseases.
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Affiliation(s)
- S Delorme
- From the University Paris Diderot (S.D., F.D.G., H.C., E.J.), Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France
| | - F De Guio
- From the University Paris Diderot (S.D., F.D.G., H.C., E.J.), Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France.,DHU NeuroVasc Sorbonne Paris Cité (F.D.G., H.C., E.J.), Paris, France
| | - S Reyes
- Department of Neurology (S.R., A.J., H.C., E.J.), AP-HP, Lariboisière Hospital, Paris, France
| | - A Jabouley
- Department of Neurology (S.R., A.J., H.C., E.J.), AP-HP, Lariboisière Hospital, Paris, France
| | - H Chabriat
- From the University Paris Diderot (S.D., F.D.G., H.C., E.J.), Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France.,DHU NeuroVasc Sorbonne Paris Cité (F.D.G., H.C., E.J.), Paris, France.,Department of Neurology (S.R., A.J., H.C., E.J.), AP-HP, Lariboisière Hospital, Paris, France
| | - E Jouvent
- From the University Paris Diderot (S.D., F.D.G., H.C., E.J.), Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France .,DHU NeuroVasc Sorbonne Paris Cité (F.D.G., H.C., E.J.), Paris, France.,Department of Neurology (S.R., A.J., H.C., E.J.), AP-HP, Lariboisière Hospital, Paris, France
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21
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Cadasil. Neurologia 2017. [DOI: 10.1016/s1634-7072(17)85562-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
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22
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Lu H, Chan SSM, Lam LCW. 'Two-level' measurements of processing speed as cognitive markers in the differential diagnosis of DSM-5 mild neurocognitive disorders (NCD). Sci Rep 2017; 7:521. [PMID: 28364127 PMCID: PMC5428878 DOI: 10.1038/s41598-017-00624-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 03/08/2017] [Indexed: 12/21/2022] Open
Abstract
Processing speed is an updated diagnostic factor for neurocognitive disorders (NCD) in DSM-5. This study investigated the characteristics of processing speed and their diagnostic values in NCD patients. A flanker test was conducted in 31 adults with NCD due to vascular disease (NCD-vascular), 36 patients with NCD due to Alzheimer's disease (NCD-AD), and 137 healthy controls. The processing speed was evaluated using two measurements: mean reaction time (RT) and intra-individual variability of RT. Mean RT represents the global processing speed. Intra-individual variability of RT is the short-term fluctuation of RT and consists of two indices, which are intra-individual coefficient of variation of reaction time (ICV-RT) and intra-individual standard deviations (iSD). We observed elevated ICV-RT and iSD in NCD-AD and NCD-vascular patients. Additionally, there was a slowed RT in NCD-AD patients. The intra-individual variability of RT had a moderate power to differentiate NCD subgroups. The mean RT was able to discriminate the NCD-AD from NCD-vascular patients. Our findings highlight the clinical utility of the combined 'two-level' measurements of processing speed to distinguish between individuals with different cognitive status. Furthermore, the 'two-level' features of processing speed embedded in the psychometric property may also reflect the diverse aetiology underlying certain 'disease-specific' neurocognitive disorders.
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Affiliation(s)
- Hanna Lu
- Guangzhou Brain Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Sandra S M Chan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Linda C W Lam
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
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23
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Pathogenesis of white matter changes in cerebral small vessel diseases: beyond vessel-intrinsic mechanisms. Clin Sci (Lond) 2017; 131:635-651. [DOI: 10.1042/cs20160380] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Revised: 01/04/2017] [Accepted: 01/16/2017] [Indexed: 01/08/2023]
Abstract
Cerebral small vessel diseases (SVDs) are a leading cause of age and hypertension-related stroke and dementia. The salient features of SVDs visible on conventional brain magnetic resonance images include white matter hyperintensities (WMHs) on T2-weighted images, small infarcts, macrohemorrhages, dilated perivascular spaces, microbleeds and brain atrophy. Among these, WMHs are the most common and often the earliest brain tissue changes. Moreover, over the past two decades, large population- and patient-based studies have established the clinical importance of WMHs, notably with respect to cognitive and motor disturbances. Here, we seek to provide a new and critical look at the pathogenesis of SVD-associated white matter (WM) changes. We first review our current knowledge of WM biology in the healthy brain, and then consider the main clinical and pathological features of WM changes in SVDs. The most widely held view is that SVD-associated WM lesions are caused by chronic hypoperfusion, impaired cerebrovascular reactivity (CVR) or blood–brain barrier (BBB) leakage. Here, we assess the arguments for and against each of these mechanisms based on population, patient and experimental model studies, and further discuss other potential mechanisms. Specifically, building on two recent seminal studies that have uncovered an anatomical and functional relationship between oligodendrocyte progenitor cells and blood vessels, we elaborate on how small vessel changes might compromise myelin remodelling and cause WM degeneration. Finally, we propose new directions for future studies on this hot research topic.
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24
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Di Donato I, Bianchi S, De Stefano N, Dichgans M, Dotti MT, Duering M, Jouvent E, Korczyn AD, Lesnik-Oberstein SAJ, Malandrini A, Markus HS, Pantoni L, Penco S, Rufa A, Sinanović O, Stojanov D, Federico A. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) as a model of small vessel disease: update on clinical, diagnostic, and management aspects. BMC Med 2017; 15:41. [PMID: 28231783 PMCID: PMC5324276 DOI: 10.1186/s12916-017-0778-8] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 01/03/2017] [Indexed: 12/11/2022] Open
Abstract
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common and best known monogenic small vessel disease. Here, we review the clinical, neuroimaging, neuropathological, genetic, and therapeutic aspects based on the most relevant articles published between 1994 and 2016 and on the personal experience of the authors, all directly involved in CADASIL research and care. We conclude with some suggestions that may help in the clinical practice and management of these patients.
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Affiliation(s)
- Ilaria Di Donato
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Silvia Bianchi
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Maria Teresa Dotti
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Eric Jouvent
- Université Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 INSERM, F-75205, Paris, France.,Department of Neurology, AP-HP, Lariboisière Hospital, F-75475, Paris, France.,DHU NeuroVasc Sorbonne Paris Cité, Paris, France
| | - Amos D Korczyn
- Department of Neurology, Tel Aviv University, Ramat Aviv, 69978, Israel
| | - Saskia A J Lesnik-Oberstein
- Department of Clinical Genetics, K5-R Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Alessandro Malandrini
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Leonardo Pantoni
- NEUROFARBA Department, Neuroscience section, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvana Penco
- Medical Genetic Unit, Department of Laboratory Medicine, Niguarda Hospital, Milan, Italy
| | - Alessandra Rufa
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy
| | - Osman Sinanović
- Department of Neurology, University Clinical Center Tuzla, School of Medicine University of Tuzla, 75000, Tuzla, Bosnia and Herzegovina
| | - Dragan Stojanov
- Faculty of Medicine, University of Nis, Bul. Dr. Zorana Djindjica 81, Nis, 18000, Serbia
| | - Antonio Federico
- Department of Medicine, Surgery and Neurosciences, Medical School, University of Siena, Viale Bracci 2, 53100, Siena, Italy.
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25
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Epelbaum S, Genthon R, Cavedo E, Habert MO, Lamari F, Gagliardi G, Lista S, Teichmann M, Bakardjian H, Hampel H, Dubois B. Preclinical Alzheimer's disease: A systematic review of the cohorts underlying the concept. Alzheimers Dement 2017; 13:454-467. [PMID: 28188032 DOI: 10.1016/j.jalz.2016.12.003] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 10/25/2016] [Accepted: 12/08/2016] [Indexed: 12/20/2022]
Abstract
Preclinical Alzheimer's disease (AD) is a relatively recent concept describing an entity characterized by the presence of a pathophysiological biomarker signature characteristic for AD in the absence of specific clinical symptoms. There is rising interest in the scientific community to define such an early target population mainly because of failures of all recent clinical trials despite evidence of biological effects on brain amyloidosis for some compounds. A conceptual framework has recently been proposed for this preclinical phase of AD. However, few data exist on this silent stage of AD. We performed a systematic review to investigate how the concept is defined across studies. The review highlights the substantial heterogeneity concerning the three main determinants of preclinical AD: "normal cognition," "cognitive decline," and "AD pathophysiological signature." We emphasize the need for a harmonized nomenclature of the preclinical AD concept and standardized population-based and case-control studies using unified operationalized criteria.
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Affiliation(s)
- Stéphane Epelbaum
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France.
| | - Rémy Genthon
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Enrica Cavedo
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Marie Odile Habert
- ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France; AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de médecine nucléaire, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Foudil Lamari
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Laboratoire de Biochimie, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Geoffroy Gagliardi
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France
| | - Simone Lista
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; IHU-A-ICM, Paris Institute of Translational Neurosciences, Hôpital de la Pitié-Salpêtrière, Paris, France; AXA Research Fund & UPMC Chair, Paris, France
| | - Marc Teichmann
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France
| | - Hovagim Bakardjian
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; IHU-A-ICM, Paris Institute of Translational Neurosciences, Hôpital de la Pitié-Salpêtrière, Paris, France; AXA Research Fund & UPMC Chair, Paris, France
| | - Harald Hampel
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France; AXA Research Fund & UPMC Chair, Paris, France
| | - Bruno Dubois
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié-Salpêtrière, Paris, France; ICM, CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, GH Pitié-Salpêtrière, Paris, France
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Jouvent E, Duchesnay E, Hadj-Selem F, De Guio F, Mangin JF, Hervé D, Duering M, Ropele S, Schmidt R, Dichgans M, Chabriat H. Prediction of 3-year clinical course in CADASIL. Neurology 2016; 87:1787-1795. [PMID: 27694265 DOI: 10.1212/wnl.0000000000003252] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2015] [Accepted: 07/07/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To obtain simple models predicting disease evolution at 3 years for a given patient with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). METHODS Based on data obtained in a prospective study of 236 patients, we built and validated models predicting, at the individual level, 3-year changes in Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale (MDRS), Trail Making Test version B (TMTB), and modified Rankin Scale (mRS). These models were based on different sets of predictors obtained at baseline, including either clinical data (epidemiologic data and cardiovascular risk factors) or clinical data and quantitative MRI markers (volume of lacunes [LLV], volume of white matter hyperintensities, normalized brain volume [BPF], number of microbleeds). The Bayesian information criterion (BIC) and the coefficient of determination (R2) were used to determine models with the highest predictive ability and the lowest numbers of predictors. RESULTS We obtained validated models with a demonstrated ability to predict, for a given patient, 3-year changes in MMSE, MDRS, TMTB, and mRS (R2 on independent samples: 0.22, 0.12, 0.09, and 0.17, respectively). In all cases, the best models according to R2 and BIC values included only the baseline values of the outcome, of BPF, and of LLV. Inclusion of other potential predictors always led to a loss of generalizability. CONCLUSIONS The prediction of 3-year changes in MMSE, MDRS, TMTB, and mRS for a given patient with CADASIL can be obtained using simple models relying only on the initial values of the considered score, BPF, and LLV.
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Affiliation(s)
- Eric Jouvent
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Edouard Duchesnay
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Foued Hadj-Selem
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - François De Guio
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Jean-François Mangin
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Dominique Hervé
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Marco Duering
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Stefan Ropele
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Reinhold Schmidt
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Martin Dichgans
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria
| | - Hugues Chabriat
- From UMR-S 1161 INSERM (E.J., F.D.G., D.H., H.C.), Sorbonne Paris Cité, University Paris Diderot; Department of Neurology (E.J., F.D.G., D.H., H.C.), AP-HP, Lariboisière Hospital, Paris; DHU NeuroVasc Sorbonne Paris Cité (E.J., F.D.G., D.H., H.C.); LNAO (E.D., F.H.-S., J.-F.M.), Neurospin, I2BM, CEA, Saclay, France; Institute for Stroke and Dementia Research, Klinikum der Universität München (M. Duering, M. Dichgans), Munich; Munich Cluster for Systems Neurology (SyNergy) (M. Dichgans), Munich; German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany; and Department of Neurology (S.R., R.S.), Medical University of Graz, Austria.
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