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Lindenholz A, de Bresser J, van der Kolk AG, van der Worp HB, Witkamp TD, Hendrikse J, van der Schaaf IC. Intracranial Atherosclerotic Burden and Cerebral Parenchymal Changes at 7T MRI in Patients With Transient Ischemic Attack or Ischemic Stroke. Front Neurol 2021; 12:637556. [PMID: 34025551 PMCID: PMC8134532 DOI: 10.3389/fneur.2021.637556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/22/2021] [Indexed: 12/05/2022] Open
Abstract
The relevance of intracranial vessel wall lesions detected with MRI is not fully established. In this study (trial identification number: NTR2119; www.trialregister.nl), 7T MRI was used to investigate if a higher vessel wall lesion burden is associated with more cerebral parenchymal changes in patients with ischemic stroke or transient ischemic attack (TIA). MR images of 82 patients were assessed for the number of vessel wall lesions of the large intracranial arteries and for cerebral parenchymal changes, including the presence and number of cortical, small subcortical, and deep gray matter infarcts; lacunes of presumed vascular origin; cortical microinfarcts; and periventricular and deep white matter hyperintensities (WMHs). Regression analyses showed that a higher vessel wall lesion burden was associated with the presence of small subcortical infarcts, lacunes of presumed vascular origin, and deep gray matter infarcts (relative risk 1.18; 95% CI, 1.03–1.35) and presence of moderate-to-severe periventricular WMHs (1.21; 95% CI, 1.03–1.42), which are all manifestations of small vessel disease (SVD). The burden of enhancing vessel wall lesions was associated with the number of cortical microinfarcts only (1.48; 95% CI, 1.04–2.11). These results suggest an interrelationship between large vessel wall lesion burden and cerebral parenchymal manifestations often linked to SVD or, alternatively, that vascular changes occur in both large and small intracranial arteries simultaneously.
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Affiliation(s)
- Arjen Lindenholz
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Anja G van der Kolk
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands.,Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Theodoor D Witkamp
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
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102
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Tan CH, Hilal S, Xu X, Vrooman H, Cheng CY, Wong TY, Venketasubramanian N, Chen C. MRI Markers of Mixed Pathology and Cognitive Impairment in Multiethnic Asians. J Alzheimers Dis 2021; 73:1501-1509. [PMID: 31958085 DOI: 10.3233/jad-190866] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
There is a need to elucidate the combined influence of neurodegeneration and cerebrovascular disease (CeVD) on cognitive impairment, especially in diverse populations. Here, we evaluated 840 multiethnic individuals (mean age = 70.18) across the disease spectrum from the Epidemiology of Dementia in Singapore study. First, we determined whether a validated quantitative MRI score of mixed pathology is associated with clinical diagnosis and whether the score differed between ethnicities (Chinese, Malays, and Indians). We then evaluated whether the score was associated with multidomain cognitive impairment and if additional measures of CeVD were further associated with cognitive impairment. We found that lower quantitative MRI scores were associated with severity of clinical diagnosis and Chinese individuals had the highest quantitative MRI scores, followed by Indians and Malays. Lower quantitative MRI scores were also associated with lower performance in attention, language, visuoconstruction, visuomotor, visual, and verbal memory domains. Lastly, the presence of intracranial stenosis and cortical cerebral microinfarcts, but not cerebral microbleeds, were associated with memory performance beyond quantitative MRI scores. Taken together, our results demonstrate the utility of using multiple MRI markers of neurodegeneration and CeVD for identifying multiethnic Asians with the greatest cognitive impairment due to mixed pathology.
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Affiliation(s)
- Chin Hong Tan
- Division of Psychology, Nanyang Technological University, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Xin Xu
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Henri Vrooman
- Department of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | | | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
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103
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Mohanty S, Mohanty P, Trivedi C, Assadourian J, Mayedo AQ, MacDonald B, Della Rocca DG, Gianni C, Horton R, Al-Ahmad A, Bassiouny M, Burkhardt JD, Di Biase L, Gurol ME, Natale A. Impact of Oral Anticoagulation Therapy Versus Left Atrial Appendage Occlusion on Cognitive Function and Quality of Life in Patients With Atrial Fibrillation. J Am Heart Assoc 2021; 10:e019664. [PMID: 33870705 PMCID: PMC8200746 DOI: 10.1161/jaha.120.019664] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background We compared the cognitive status and quality of life in patients with atrial fibrillation undergoing left atrial appendage occlusion (LAAO) or remaining on oral anticoagulation (OAC) after atrial fibrillation ablation. Methods and Results Cognition was assessed by the Montreal Cognitive Assessment (MoCA) survey at baseline and follow‐up. Consecutive patients receiving LAAO or OAC after atrial fibrillation ablation were screened, and patients with a score of ≤17 were excluded from the study. Quality of life was measured at baseline and 1 year using the Atrial Fibrillation Effect on Quality of Life survey. A total of 50 patients (CHA2DS2‐VASc [congestive heart failure, hypertension, age≥75 years, diabetes mellitus, stroke or transient ischemic attack, vascular disease, age 65–74 years, sex category] score: 3.30±1.43) in the LAAO group and 48 (CHA2DS2‐VASc score 2.73±1.25) in the OAC group were included in this prospective study. Mean baseline MoCA score was 26.18 and 26.08 in the LAAO and OAC groups, respectively (P=0.846). At 1 year, scores were 26.94 and 23.38 in the respective groups. MoCA score decreased by an estimated −2.74 (95% CI, −3.61 to −1.87; P<0.0001) points in the OAC group, whereas the change in the LAAO group was nonsignificant (0.79; (95% CI, −0.06 to 1.64; P=0.07). After adjusting for baseline clinical characteristics, remaining on OAC was an independent predictor of MoCA change at 1 year (regression coefficient, −3.38; 95% CI, −4.75 to −2.02; P<0.0001). Change in Atrial Fibrillation Effect on Quality of Life score did not differ significantly in achieving a clinically important difference between groups. Conclusions In this series, a significant difference in the postprocedure MoCA score was observed in postablation patients with atrial fibrillation receiving LAAO versus remaining on OAC with a substantial decline in the score in the OAC group. However, quality of life improved similarly across groups. Registration https://www.ClinicalTrials.gov. Unique identifier: NCT01816308
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Affiliation(s)
| | - Prasant Mohanty
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - Chintan Trivedi
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | | | | | - Bryan MacDonald
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | | | - Carola Gianni
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - Rodney Horton
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - Amin Al-Ahmad
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - Mohamed Bassiouny
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - John D Burkhardt
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX
| | - Luigi Di Biase
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX.,Albert Einstein College of Medicine at Montefiore Hospital New York NY
| | - M Edip Gurol
- Massachusetts General HospitalHarvard Medical School Boston MA
| | - Andrea Natale
- Texas Cardiac Arrhythmia InstituteSt. David's Medical Center Austin TX.,Interventional Electrophysiology Scripps Clinic San Diego CA.,Metro Health Medical CenterCase Western Reserve University School of Medicine Cleveland OH
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104
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Li J, Zhang Q, Che Y, Zhang N, Guo L. Iron Deposition Characteristics of Deep Gray Matter in Elderly Individuals in the Community Revealed by Quantitative Susceptibility Mapping and Multiple Factor Analysis. Front Aging Neurosci 2021; 13:611891. [PMID: 33935681 PMCID: PMC8079745 DOI: 10.3389/fnagi.2021.611891] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 03/15/2021] [Indexed: 12/23/2022] Open
Abstract
Purpose The objective of this study was to determine which factors influence brain iron concentrations in deep gray matter in elderly individuals and how these factors influence regional brain iron concentrations. Methods A total of 105 elderly individuals were enrolled in this study. All participants underwent detailed magnetic resonance imaging (MRI) examinations from October 2018 to August 2019. Among them, 44 individuals had undergone a previous MRI examination from July 2010 to August 2011. Quantitative susceptibility mapping (QSM) was utilized as an indirect quantitative marker of brain iron, and the susceptibility values of deep gray matter structures were obtained. Univariate analysis and multiple linear regression analysis were used to investigate 11 possible determinants for cerebral iron deposition. Results Our results showed no sex- or hemisphere-related differences in susceptibility values in any of the regions studied. Aging was significantly correlated with increased insusceptibility values in almost all analyzed brain regions (except for the thalamus) when we compared the susceptibility values at the two time points. In a cross-sectional analysis, the relationship between gray matter nucleus susceptibility values and age was conducted using Pearson’s linear regression. Aging was significantly correlated with the susceptibility values of the globus pallidus (GP), putamen (Put), and caudate nucleus (CN), with the Put having the strongest correlations. In multiple linear regression models, associations with increased susceptibility values were found in the CN, Put, red nucleus, and dentate nucleus for individuals with a history of type 2 diabetes mellitus (T2DM). However, the patients with hypertension showed significantly reduced susceptibility values in the red nucleus and dentate nucleus. Our data suggested that smokers had increased susceptibility values in the thalamus. No significant associations were found for individuals with a history of hypercholesterolemia and Apolipoprotein E4 carrier status. Conclusion Our data revealed that aging, T2DM, and smoking could increase iron deposition in some deep gray matter structures. However, hypertension had the opposite effects in the red nuclei and dentate nuclei. Brain iron metabolism could be influenced by many factors in different modes. In future studies, we should strictly control for confounding factors.
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Affiliation(s)
- Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Qihao Zhang
- Department of Radiology, Weill Cornell Medical College, Cornell University, New York City, NY, United States
| | - Yena Che
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Nan Zhang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Lingfei Guo
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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105
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van Hespen KM, Zwanenburg JJM, Dankbaar JW, Geerlings MI, Hendrikse J, Kuijf HJ. An anomaly detection approach to identify chronic brain infarcts on MRI. Sci Rep 2021; 11:7714. [PMID: 33833297 PMCID: PMC8032662 DOI: 10.1038/s41598-021-87013-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/23/2021] [Indexed: 02/05/2023] Open
Abstract
The performance of current machine learning methods to detect heterogeneous pathology is limited by the quantity and quality of pathology in medical images. A possible solution is anomaly detection; an approach that can detect all abnormalities by learning how 'normal' tissue looks like. In this work, we propose an anomaly detection method using a neural network architecture for the detection of chronic brain infarcts on brain MR images. The neural network was trained to learn the visual appearance of normal appearing brains of 697 patients. We evaluated its performance on the detection of chronic brain infarcts in 225 patients, which were previously labeled. Our proposed method detected 374 chronic brain infarcts (68% of the total amount of brain infarcts) which represented 97.5% of the total infarct volume. Additionally, 26 new brain infarcts were identified that were originally missed by the radiologist during radiological reading. Our proposed method also detected white matter hyperintensities, anomalous calcifications, and imaging artefacts. This work shows that anomaly detection is a powerful approach for the detection of multiple brain abnormalities, and can potentially be used to improve the radiological workflow efficiency by guiding radiologists to brain anomalies which otherwise remain unnoticed.
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Affiliation(s)
- Kees M van Hespen
- Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Postbox 85500, 3584 CX, Utrecht, The Netherlands.
| | - Jaco J M Zwanenburg
- Department of Radiology, UMC Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jan W Dankbaar
- Department of Radiology, UMC Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, UMC Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, UMC Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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106
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Ishikawa H, Niwa A, Kato S, Ii Y, Shindo A, Matsuura K, Nishiguchi Y, Tamura A, Taniguchi A, Maeda M, Hashizume Y, Tomimoto H. Micro-MRI improves the accuracy of clinical diagnosis in cerebral small vessel disease. Brain Commun 2021; 3:fcab070. [PMID: 33997783 PMCID: PMC8111066 DOI: 10.1093/braincomms/fcab070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/17/2021] [Accepted: 03/01/2021] [Indexed: 11/29/2022] Open
Abstract
Even with postmortem pathological examination, only limited information is provided of the foci of in vivo clinical information. Cerebral small vessel disease, which is associated with ageing, dementia and stroke, highlights the difficulty in arriving at a definitive diagnosis of the lesions detected on in vivo radiological examination. We performed a radiological−pathological comparative study using ex vivo MRI to examine small cerebral lesions. Four patients with small vessel disease lesions detected on in vivo MRI were studied. Exact pathological findings of in vivo MRI-detected lesions were revealed. The ischaemic lesion after 17 days from onset showed positivity for peroxiredoxin, cluster of differentiation 204 and glial fibrillary acidic protein, indicating sterile inflammation and neuroprotective reaction. Cortical microinfarcts beneath the cortical superficial siderosis were associated with inflammation from the superficial layer in a patient with cerebral amyloid angiopathy; in this patient, a bilinear track-like appearance of the cortical superficial siderosis on the ex vivo MRI was compatible with iron deposition on the pia matter and within cortical layers II–III. An in vivo MRI-detected cerebral microbleed was revealed to be heterogeneous. An in vivo MRI-detected cerebral microbleed was revealed to be a venous angioma. Furthermore, a neuropathologically confirmed embolic cerebral microbleed was firstly detected using this method. Our results suggest that in vivo MRI-detected lobar cerebral microbleeds can be caused by non-cerebral amyloid angiopathy aetiologies, such as microembolism and venous angioma. Venous angioma and embolic microbleeds may mimic cerebral amyloid angiopathy markers on in vivo MRI. To clarify the clinical importance of these lesions, we should investigate their rate and frequency in a large cohort of healthy individuals and patients with cardiac risk factors. Thus, we provide evidence that ex vivo micro-MRI improves the clinical diagnosis of small vessel diseases.
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Affiliation(s)
- Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Atsushi Niwa
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Shinya Kato
- Radioisotope Facilities for Medical Science, Advanced Science Research Promotion Center, Mie University, Tsu, Mie, 514-8507, Japan
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Keita Matsuura
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Yamato Nishiguchi
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Asako Tamura
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Akira Taniguchi
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
| | - Yoshio Hashizume
- Department of Neuropathology, Fukushimura Hospital, Aichi 441-8124, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan
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107
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Zanon Zotin MC, Sveikata L, Viswanathan A, Yilmaz P. Cerebral small vessel disease and vascular cognitive impairment: from diagnosis to management. Curr Opin Neurol 2021; 34:246-257. [PMID: 33630769 PMCID: PMC7984766 DOI: 10.1097/wco.0000000000000913] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW We present recent developments in the field of small vessel disease (SVD)-related vascular cognitive impairment, including pathological mechanisms, updated diagnostic criteria, cognitive profile, neuroimaging markers and risk factors. We further address available management and therapeutic strategies. RECENT FINDINGS Vascular and neurodegenerative pathologies often co-occur and share similar risk factors. The updated consensus criteria aim to standardize vascular cognitive impairment (VCI) diagnosis, relying strongly on cognitive profile and MRI findings. Aggressive blood pressure control and multidomain lifestyle interventions are associated with decreased risk of cognitive impairment, but disease-modifying treatments are still lacking. Recent research has led to a better understanding of mechanisms leading to SVD-related cognitive decline, such as blood-brain barrier dysfunction, reduced cerebrovascular reactivity and impaired perivascular clearance. SUMMARY SVD is the leading cause of VCI and is associated with substantial morbidity. Tackling cardiovascular risk factors is currently the most effective approach to prevent cognitive decline in the elderly. Advanced imaging techniques provide tools for early diagnosis and may play an important role as surrogate markers for cognitive endpoints in clinical trials. Designing and testing disease-modifying interventions for VCI remains a key priority in healthcare.
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Affiliation(s)
- Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Center for Imaging Sciences and Medical Physics. Department of Medical Imaging, Hematology and Clinical Oncology. Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Pinar Yilmaz
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
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108
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Gokcal E, Horn MJ, van Veluw SJ, Frau-Pascual A, Das AS, Pasi M, Fotiadis P, Warren AD, Schwab K, Rosand J, Viswanathan A, Polimeni JR, Greenberg SM, Gurol ME. Lacunes, Microinfarcts, and Vascular Dysfunction in Cerebral Amyloid Angiopathy. Neurology 2021; 96:e1646-e1654. [PMID: 33536272 PMCID: PMC8032369 DOI: 10.1212/wnl.0000000000011631] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 12/18/2020] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To analyze the relationship of lacunes with cortical cerebral microinfarcts (CMIs), to assess their association with vascular dysfunction, and to evaluate their effect on the risk of incident intracerebral hemorrhage (ICH) in cerebral amyloid angiopathy (CAA). METHODS The count and topography of lacunes (deep/lobar), CMIs, and white matter hyperintensity (WMH) volume were retrospectively analyzed in a prospectively enrolled CAA cohort that underwent high-resolution research MRIs. The relationship of lacunes with CMIs and other CAA-related markers including time to peak (TTP) of blood oxygen level-dependent signal, an established measure of vascular dysfunction, was evaluated in multivariate models. Adjusted Cox regression models were used to investigate the relationship between lacunes and incident ICH. RESULTS The cohort consisted of 122 patients with probable CAA without dementia (mean age, 69.4 ± 7.6 years). Lacunes were present in 31 patients (25.4%); all but one were located in lobar regions. Cortical CMIs were more common in patients with lacunes compared to patients without lacunes (51.6% vs 20.9%, p = 0.002). TTP was not associated with either lacunes or CMIs (both p > 0.2) but longer TTP response independently correlated with higher WMH volume (p = 0.001). Lacunes were associated with increased ICH risk in univariate and multivariate Cox regression models (p = 0.048 and p = 0.026, respectively). CONCLUSIONS Our findings show a high prevalence of lobar lacunes, frequently coexisting with CMIs in CAA, suggesting that these 2 lesion types may be part of a common spectrum of CAA-related infarcts. Lacunes were not related to vascular dysfunction but predicted incident ICH, favoring severe focal vessel involvement rather than global ischemia as their mechanism.
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Affiliation(s)
- Elif Gokcal
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Mitchell J Horn
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Susanne J van Veluw
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Aina Frau-Pascual
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Alvin S Das
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Marco Pasi
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Panagiotis Fotiadis
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Andrew D Warren
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Kristin Schwab
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Jonathan Rosand
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Anand Viswanathan
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Jonathan R Polimeni
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - Steven M Greenberg
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France
| | - M Edip Gurol
- From the J. Philip Kistler Hemorrhagic Stroke Research Program, Department of Neurology (E.G., M.J.H., S.J.v.V., M.P., P.F., A.D.W., K.S., J.R., A.V., S.M.G., M.E.G.), Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston; Athinoula A. Martinos Center for Biomedical Imaging (A.F.-P., J.R.P.), Charlestown; Department of Neurology (A.S.D.), Massachusetts General Hospital, Boston; and Department of Neurology, Stroke Unit (M.P.), Univ-Lille, Inserm U1171, CHU Lille, France.
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109
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Verdelho A, Wardlaw J, Pavlovic A, Pantoni L, Godefroy O, Duering M, Charidimou A, Chabriat H, Biessels GJ. Cognitive impairment in patients with cerebrovascular disease: A white paper from the links between stroke ESO Dementia Committee. Eur Stroke J 2021; 6:5-17. [PMID: 33817330 PMCID: PMC7995319 DOI: 10.1177/23969873211000258] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Many daily-life clinical decisions in patients with cerebrovascular disease and cognitive impairment are complex. Evidence-based information sustaining these decisions is frequently lacking. The aim of this paper is to propose a practical clinical approach to cognitive impairments in patients with known cerebrovascular disease. METHODS The document was produced by the Dementia Committee of the European Stroke Organisation (ESO), based on evidence from the literature where available and on the clinical experience of the Committee members. This paper was endorsed by the ESO. FINDINGS Many patients with stroke or other cerebrovascular disease have cognitive impairment, but this is often not recognized. With improvement in acute stroke care, and with the ageing of populations, it is expected that more stroke survivors and more patients with cerebrovascular disease will need adequate management of cognitive impairment of vascular etiology. This document was conceived for the use of strokologists and for those clinicians involved in cerebrovascular disease, with specific and practical hints concerning diagnostic tools, cognitive impairment management and decision on some therapeutic options.Discussion and conclusions: It is essential to consider a possible cognitive deterioration in every patient who experiences a stroke. Neuropsychological evaluation should be adapted to the clinical status. Brain imaging is the most informative biomarker concerning prognosis. Treatment should always include adequate secondary prevention.
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Affiliation(s)
- Ana Verdelho
- Department of Neurosciences and Mental Health, CHLN-Hospital de Santa Maria, Instituto de Medicina Molecular – IMM e Instituto de Saúde Ambiental –ISAMB, Faculdade de Medicina, University of Lisbon, Lisbon, Portugal
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Aleksandra Pavlovic
- Faculty for Special Education and Rehabilitation, University of Belgrade, Belgrade, Serbia
| | - Leonardo Pantoni
- Stroke and Dementia Lab, "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences1,6 (UR UPJV 4559), Jules Verne Picardy University, Amiens, France
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Andreas Charidimou
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Hugues Chabriat
- Department of Neurology, FHU NeuroVasc, Hôpital Lariboisiere, University of Paris, Paris, France
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
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110
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El-Bouri WK, MacGowan A, Józsa TI, Gounis MJ, Payne SJ. Modelling the impact of clot fragmentation on the microcirculation after thrombectomy. PLoS Comput Biol 2021; 17:e1008515. [PMID: 33711015 PMCID: PMC7990195 DOI: 10.1371/journal.pcbi.1008515] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 03/24/2021] [Accepted: 02/23/2021] [Indexed: 12/29/2022] Open
Abstract
Many ischaemic stroke patients who have a mechanical removal of their clot (thrombectomy) do not get reperfusion of tissue despite the thrombus being removed. One hypothesis for this 'no-reperfusion' phenomenon is micro-emboli fragmenting off the large clot during thrombectomy and occluding smaller blood vessels downstream of the clot location. This is impossible to observe in-vivo and so we here develop an in-silico model based on in-vitro experiments to model the effect of micro-emboli on brain tissue. Through in-vitro experiments we obtain, under a variety of clot consistencies and thrombectomy techniques, micro-emboli distributions post-thrombectomy. Blood flow through the microcirculation is modelled for statistically accurate voxels of brain microvasculature including penetrating arterioles and capillary beds. A novel micro-emboli algorithm, informed by the experimental data, is used to simulate the impact of micro-emboli successively entering the penetrating arterioles and the capillary bed. Scaled-up blood flow parameters-permeability and coupling coefficients-are calculated under various conditions. We find that capillary beds are more susceptible to occlusions than the penetrating arterioles with a 4x greater drop in permeability per volume of vessel occluded. Individual microvascular geometries determine robustness to micro-emboli. Hard clot fragmentation leads to larger micro-emboli and larger drops in blood flow for a given number of micro-emboli. Thrombectomy technique has a large impact on clot fragmentation and hence occlusions in the microvasculature. As such, in-silico modelling of mechanical thrombectomy predicts that clot specific factors, interventional technique, and microvascular geometry strongly influence reperfusion of the brain. Micro-emboli are likely contributory to the phenomenon of no-reperfusion following successful removal of a major clot.
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Affiliation(s)
- Wahbi K. El-Bouri
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
- Liverpool Centre for Cardiovascular Science, Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Andrew MacGowan
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Tamás I. Józsa
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Matthew J. Gounis
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Stephen J. Payne
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
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111
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Umino M, Maeda M, Kogue R, Nakamura S, Ii Y, Tomimoto H, Sakuma H. Evaluation of cortical superficial siderosis in patients with cognitive dysfunction using 3D FLAIR and 3D DIR. Eur Radiol 2021; 31:6411-6418. [PMID: 33630158 DOI: 10.1007/s00330-021-07751-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/10/2020] [Accepted: 02/04/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Our aim was to evaluate the detectability of cortical superficial siderosis (cSS) by 3D FLAIR and 3D DIR images in comparison with the SWI images in patients with cognitive dysfunction. METHODS We studied 246 patients with cognitive dysfunction (144 women, 102 men; mean age: 75.5 ± 7.53 years) who visited a memory clinic at our hospital and underwent MR examinations at 3 T. Specifically, 16 patients with Alzheimer disease (AD) (n = 11) and AD with cerebrovascular disease (n = 5) manifested cSS based on SWI. Each set of MR images (3D FLAIR and 3D DIR) was reviewed by two reviewers separately for the detection of sulcal hyperintensity that suggested cSS. RESULTS SWI detected a greater number of cSS sulci than 3D DIR and 3D FLAIR. The sensitivity and specificity for the detection of sulcal hyperintensity were the same between 3D FLAIR and 3D DIR (87.5%/100%). However, 3D DIR detected a greater number of cSS sulci than 3D FLAIR (p = .005). CONCLUSIONS Our study showed that 3D DIR and 3D FLAIR can detect sulcal hyperintensity related to cSS although they are less sensitive to cSS lesions than SWI. KEY POINTS • 3D FLAIR and 3D DIR can show sulcal signal abnormalities related to cSS in patients with cognitive dysfunction. • 3D FLAIR and 3D DIR detect sulcal hyperintensity of cSS, although they are less sensitive to cSS than SWI. • Signal alterations due to cSS are more detectable in 3D DIR than in 3D FLAIR.
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Affiliation(s)
- Maki Umino
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University School of Medicine, Tsu, Mie, Japan
| | - Ryota Kogue
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Satoshi Nakamura
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Yuichiro Ii
- Department of Neurology, Mie University School of Medicine, Tsu, Mie, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University School of Medicine, Tsu, Mie, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
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112
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Chen YK, Ni ZX, Li W, Xiao WM, Liu YL, Liang WC, Qu JF. Diurnal Blood Pressure and Heart Rate Variability in Hypertensive Patients with Cerebral Small Vessel Disease: A Case-Control Study. J Stroke Cerebrovasc Dis 2021; 30:105673. [PMID: 33631472 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105673] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 01/30/2021] [Accepted: 02/05/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Whether autonomic dysfunction contributes to cerebral small vessel disease (CSVD) remains unclear. This study aimed to explore the relationship between CSVD and blood pressure variability (BPV) and heart rate variability (HRV). METHODS This case-control study recruited 50 patients with CSVD and 50 non-CSVD hypertensive age- and gender-matched controls. All participants completed a 24-h ambulatory electrocardiogram recording and ambulatory BP monitoring (ABPM). Differences in HRV and BPV between the two groups were examined. BPV indices assessed by ABPM included mean systolic BP (SBP), mean diastolic BP (DBP), coefficient of variation and weighted standard deviation of SBP and DBP. RESULTS CSVD patients had significant higher 24-h mean systolic BP (SBP), 24-h mean diastolic BP (DBP), daytime mean SBP, nocturnal mean SBP, and nocturnal mean DBP (P < .05 for all). CSVD patients had a significant lower nocturnal SBP fall rate compared with controls (median: 1.0 versus 6.2, respectively; P < .001) and were more likely to be non-dippers and reverse dippers. There were no differences in HRV variables between the two groups. Five logistic models were built to explore the correlations between BPV indices and CSVD. BPV indices were separately entered into the logistic regression models, together with hyperlipidemia, ischemic stroke history, current use of anti-hypertensive agents, and serum blood urea nitrogen. In models 1-3, 24-h mean SBP and nocturnal mean SBP and DBP were significantly correlated with CSVD (r2 = 0.308-0.340). In model 4, the nocturnal SBP fall rate was negatively correlated with CSVD (odds ratio [OR] = 0.871, 95% confidence interval [CI] = 0.804-0.943; P = .001), with r2 = 0.415 fitting the model. In model 5, the pattern of SBP dipping was significantly associated with CSVD, with non-dipper (OR = 8.389, 95%CI = 1.489-47.254; P = .016) and reverse dipper (OR = 27.008, 95%CI = 3.709-196.660; P = .001) having the highest risks of CSVD (r2 = 0.413). CONCLUSIONS Lower nocturnal SBP fall rate is associated with CSVD. Non-dipper and reverse dipper hypertensive patients have a higher risk of CSVD.
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Affiliation(s)
- Yang-Kun Chen
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China.
| | - Zhuo-Xin Ni
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China
| | - Wei Li
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China
| | - Wei-Min Xiao
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China
| | - Yong-Lin Liu
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China
| | - Wen-Cong Liang
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China; Department of Neurology, Graduate School of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - Jian-Feng Qu
- Department of Neurology, Donguan People's Hospital (Affiliated Dongguan Hospital, South Medical University), Dongguan, 523000 Guangdong Province, China
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113
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Kulesh AA, Emelin AY, Bogolepova AN, Doronina OB, Zakharov VV, Kolokolov OV, Kotov SV, Korsunskaya LL, Kutlubaev MA, Laskov VB, Levin OS, Parfenov VA. Clinical manifestations and issues of diagnosis of chronic cerebrovascular disease (chronic cerebral ischemia) at an early (pre-dementia) stage. ACTA ACUST UNITED AC 2021. [DOI: 10.14412/2074-2711-2021-1-4-12] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The paper presents experts' opinion on the clinical manifestations and diagnosis of chronic cerebrovascular disease (CVD) (chronic cerebral ischemia (CCI) and dyscirculatory encephalopathy (DEP)) at the pre-dementia stage. It is noted that DEP/CCI is a common diagnosis in Russian neurological practice, the criteria for which have not been updated for a long time. DEP/CCI most often develops in the presence of cerebral small artery (CSA) disease (cerebral microangiopathy (CMA)), the severity of which can be quantified by magnetic resonance imaging. The main clinical manifestation of DEP/CCI is cognitive impairment that may be subjective or moderate at the pre-dementia stage. Emotional disorders (apathy, depression, anxiety) and instability are considered as possible manifestations of CSA disease. It is noted that headache and vestibular vertigo are not caused by chronic CVD; while in patients with CMA, they are usually associated with other diseases (primary headache, peripheral vestibular vertigo, and vestibular migraine). The diagnosis of DEP/CCI should be based on the presence of cognitive impairment, reliable neuroimaging signs of CVD, and the exclusion of another cause of cognitive impairment.
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Affiliation(s)
- A. A. Kulesh
- Academician E.A. Vagner Perm State Medical University, Ministry of Health of Russia
| | - A. Yu. Emelin
- S.M. Kirov Military Medical Academy, Ministry of Defense of Russia
| | - A. N. Bogolepova
- N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia
| | - O. B. Doronina
- Novosibirsk State Medical University, Ministry of Health of Russia
| | - V. V. Zakharov
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
| | - O. V. Kolokolov
- V.I. Razumovsky Saratov State Medical University, Ministry of Health of Russia
| | - S. V. Kotov
- M.F. Vladimirsky Moscow Regional Research Clinical Institute
| | - L. L. Korsunskaya
- S.I. Georgievsky Medical Academy, V.I. Vernadsky Crimean Federal University
| | - M. A. Kutlubaev
- Bashkir State Medical University, Ministry of Health of Russia
| | - V. B. Laskov
- Kursk State Medical University, Ministry of Health of Russia
| | - O. S. Levin
- Russian Medical Academy of Continuing Professional Education, Ministry of Health of Russia
| | - V. A. Parfenov
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
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114
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Husain MA, Laurent B, Plourde M. APOE and Alzheimer's Disease: From Lipid Transport to Physiopathology and Therapeutics. Front Neurosci 2021; 15:630502. [PMID: 33679311 PMCID: PMC7925634 DOI: 10.3389/fnins.2021.630502] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/20/2021] [Indexed: 12/23/2022] Open
Abstract
Alzheimer’s disease (AD) is a devastating neurodegenerative disorder characterized by extracellular amyloid β (Aβ) and intraneuronal tau protein aggregations. One risk factor for developing AD is the APOE gene coding for the apolipoprotein E protein (apoE). Humans have three versions of APOE gene: ε2, ε3, and ε4 allele. Carrying the ε4 allele is an AD risk factor while carrying the ε2 allele is protective. ApoE is a component of lipoprotein particles in the plasma at the periphery, as well as in the cerebrospinal fluid (CSF) and in the interstitial fluid (ISF) of brain parenchyma in the central nervous system (CNS). ApoE is a major lipid transporter that plays a pivotal role in the development, maintenance, and repair of the CNS, and that regulates multiple important signaling pathways. This review will focus on the critical role of apoE in AD pathogenesis and some of the currently apoE-based therapeutics developed in the treatment of AD.
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Affiliation(s)
- Mohammed Amir Husain
- Centre de Recherche Sur le Vieillissement, Centre Intégré Universitaire de Santé et Services Sociaux de l'Estrie-Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.,Département de Médecine, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Benoit Laurent
- Centre de Recherche Sur le Vieillissement, Centre Intégré Universitaire de Santé et Services Sociaux de l'Estrie-Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.,Département de Biochimie et Génomique Fonctionnelle, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Mélanie Plourde
- Centre de Recherche Sur le Vieillissement, Centre Intégré Universitaire de Santé et Services Sociaux de l'Estrie-Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.,Département de Médecine, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada
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115
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Ter Telgte A, Wiegertjes K, Gesierich B, Baskaran BS, Marques JP, Kuijf HJ, Norris DG, Tuladhar AM, Duering M, de Leeuw FE. Temporal Dynamics of Cortical Microinfarcts in Cerebral Small Vessel Disease. JAMA Neurol 2021; 77:643-647. [PMID: 32065609 DOI: 10.1001/jamaneurol.2019.5106] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Importance Neuropathology studies show a high prevalence of cortical microinfarcts (CMIs) in aging individuals, especially in patients with cerebrovascular disease and dementia. However, most, are invisible on T1- and T2-weighted magnetic resonance imaging (MRI), raising the question of how to explain this mismatch. Studies on small acute infarcts, detected on diffusion-weighted imaging (DWI), suggest that infarcts are largest in their acute phase and reduce in size thereafter. Therefore, we hypothesized that a subset of the CMI that are invisible on MRI can be detected on MRI in their acute phase. However, to our knowledge, a serial imaging study investigating the temporal dynamics of acute CMI (A-CMI) is lacking. Objective To determine the prevalence of chronic CMI (C-CMI) and the cumulative incidence and temporal dynamics of A-CMI in individuals with cerebral small vessel disease (SVD). Design, Setting, Participants and Exposures The RUN DMC-Intense study is a single-center hospital-based prospective cohort study on SVD performed between March 2016 and November 2017 and comprising 10 monthly 3-T MRI scans, including high-resolution DWI, 3-dimensional T1, 3-dimensional fluid-attenuated inversion recovery, and T2. One hundred six individuals from the previous longitudinal RUN DMC study were recruited based on the presence of progression of white matter hyperintensities on MRI between 2006 and 2015 and exclusion of causes of cerebral ischemia other than SVD. Fifty-four individuals (50.9%) participated. The median total follow-up duration was 39.5 weeks (interquartile range, 37.8-40.3). Statistical data analysis was performed between May and October 2019. Main Outcomes and Measures We determined the prevalence of C-CMI using the baseline T1, fluid-attenuated inversion recovery, and T2 scans. Monthly high-resolution DWI scans (n = 472) were screened to determine the cumulative incidence of A-CMI. The temporal dynamics of A-CMI were determined based on the MRI scans collected during the first follow-up visit after A-CMI onset and the last available follow-up visit. Results The median age of the cohort at baseline MRI was 69 years (interquartile range, 66-74 years) and 34 participants (63%) were men. The prevalence of C-CMI was 35% (95% CI, 0.24-0.49). Monthly DWI detected 21 A-CMI in 7 of 54 participants, resulting in a cumulative incidence of 13% (95% CI, 0.06-0.24). All A-CMI disappeared on follow-up MRI. Conclusions and Relevance Acute CMI never evolved into chronically MRI-detectable lesions. We suggest that these A-CMI underlie part of the submillimeter C-CMI encountered on neuropathological examination and thereby provide a source for the high CMI burden on neuropathology.
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Affiliation(s)
- Annemieke Ter Telgte
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany
| | - Brendon Sri Baskaran
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marco Duering
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands.,Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank-Erik de Leeuw
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
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116
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Kapasi A, Leurgans SE, Arvanitakis Z, Barnes LL, Bennett DA, Schneider JA. Aβ (Amyloid Beta) and Tau Tangle Pathology Modifies the Association Between Small Vessel Disease and Cortical Microinfarcts. Stroke 2021; 52:1012-1021. [PMID: 33567873 DOI: 10.1161/strokeaha.120.031073] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE There is increasing recognition of the importance of cortical microinfarcts to overall brain health, cognition, and Alzheimer dementia. Cerebral small vessel pathologies are associated with microinfarcts and frequently coexist with Alzheimer disease; however, the extent to which Aβ (amyloid beta) and tau pathology modulates microvascular pathogenesis is not fully understood. Study objective was to examine the relationship of small vessel pathologies, arteriolosclerosis, and cerebral amyloid angiopathy, with cortical microinfarcts in people with differing levels of Aβ or tau tangle burden. METHODS Participants were 1489 autopsied older people (mean age at death, 89 years; 67% women) from 1 of 3 ongoing clinical-pathological cohort studies of aging. Neuropathological evaluation identified cortical Aβ and tau tangle burden using immunohistochemistry in 8 brain regions, provided semiquantitative grading of cerebral vessel pathologies, and identified the presence of cortical microinfarcts. Logistic regression models adjusted for demographics and atherosclerosis and examined whether Aβ or tau tangle burden modified relations between small vessel pathologies and cortical microinfarcts. RESULTS Cortical microinfarcts were present in 17% of older people, moderate-to-severe cerebral amyloid angiopathy pathology in 36%, and arteriolosclerosis in 34%. In logistic regression models, we found interactions with Aβ and tau tangles, reflecting that the association between arteriolosclerosis and cortical microinfarcts was stronger in the context of greater Aβ (estimate, 0.15; SE=0.07; P=0.02) and tau tangle burden (estimate, 0.13; SE=0.06; P=0.02). Interactions also emerged for cerebral amyloid angiopathy, suggesting that the association between cerebral amyloid angiopathy and cortical microinfarcts is more robust in the presence of higher Aβ (estimate, 0.27; SE=0.07; P<0.001) and tangle burden (estimate, 0.16; SE=0.06; P=0.005). CONCLUSIONS These findings suggest that in the presence of elevated Aβ or tangle pathology, small vessel pathologies are associated with greater microvascular tissue injury, highlighting a potential link between neurodegenerative and vascular mechanisms.
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Affiliation(s)
- A Kapasi
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Pathology (A.K., J.A.S.), Rush University Medical Center, Chicago, IL
| | - S E Leurgans
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Neurological Sciences (S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL
| | - Z Arvanitakis
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Neurological Sciences (S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL
| | - L L Barnes
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Neurological Sciences (S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Behavioral Sciences (L.L.B.), Rush University Medical Center, Chicago, IL
| | - D A Bennett
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Neurological Sciences (S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL
| | - J A Schneider
- Rush Alzheimer's Disease Center (A.K., S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Pathology (A.K., J.A.S.), Rush University Medical Center, Chicago, IL.,Department of Neurological Sciences (S.E.L., Z.A., L.L.B., D.A.B., J.A.S.), Rush University Medical Center, Chicago, IL
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Hilal S, Doolabi A, Vrooman H, Ikram MK, Ikram MA, Vernooij MW. Clinical Relevance of Cortical Cerebral Microinfarcts on 1.5T Magnetic Resonance Imaging in the Late-Adult Population. Stroke 2021; 52:922-930. [PMID: 33535785 DOI: 10.1161/strokeaha.120.032085] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Cortical cerebral microinfarcts (CMIs) have been linked with dementia and impaired cognition in cross-sectional studies. However, the clinical relevance of CMIs in a large population-based setting is lacking. We examine the association of cortical CMIs detected on 1.5T magnetic resonance imaging with cardiovascular risk factors, cerebrovascular disease, and brain tissue volumes. We further explore the association between cortical CMIs with cognitive decline and risk of stroke, dementia, and mortality in the general population. METHODS Two thousand one hundred fifty-six participants (age: 75.7±5.9 years, women: 55.6%) with clinical history and baseline magnetic resonance imaging (January 2009-December 2013) were included from the Rotterdam Study. Cortical CMIs were graded based on a previously validated method. Markers of cerebrovascular disease and brain tissue volumes were assessed on magnetic resonance imaging. Cognition was assessed using a detailed neuropsychological test at baseline and at 5 years of follow-up. Data on incident stroke, dementia, and mortality were included until January 2016. RESULTS Two hundred twenty-seven individuals (10.5%) had ≥1 cortical CMIs. The major risk factors of cortical CMIs were male sex, current smoking, history of heart disease, and stroke. Furthermore, presence of cortical CMIs was associated with infarcts and smaller brain volume. Persons with cortical CMIs showed cognitive decline in Stroop tests (color-naming and interference subtasks; β for color-naming, 0.18 [95% CI, 0.04-0.33], P interaction ≤0.001 and β for interference subtask, 1.74, [95% CI, 0.66-2.82], P interaction ≤0.001). During a mean follow-up of 5.2 years, 73 (4.3%) individuals developed incident stroke, 95 (5.1%) incident dementia, and 399 (19.2%) died. People with cortical CMIs were at an increased risk of stroke (hazard ratio, 1.18 [95% CI, 1.09-1.28]) and mortality (hazard ratio, 1.09 [95% CI, 1.00-1.19]). CONCLUSIONS Cortical CMIs are highly prevalent in a population-based setting and are associated with cardiovascular disease, cognitive decline, and increased risk of stroke and mortality. Future investigations will have to show whether cortical CMIs are a useful biomarker to intervene upon to reduce the burden of stroke.
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Affiliation(s)
- Saima Hilal
- Department of Radiology and Nuclear Medicine (S.H., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology (S.H., A.D., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (S.H.)
| | - Arwin Doolabi
- Department of Epidemiology (S.H., A.D., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics (H.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology (S.H., A.D., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Neurology (M.K.I.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Radiology and Nuclear Medicine (S.H., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology (S.H., A.D., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine (S.H., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology (S.H., A.D., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
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118
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Beach TG, Malek-Ahmadi M. Alzheimer's Disease Neuropathological Comorbidities are Common in the Younger-Old. J Alzheimers Dis 2021; 79:389-400. [PMID: 33285640 PMCID: PMC8034496 DOI: 10.3233/jad-201213] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Clinicopathological studies have demonstrated that Alzheimer's disease dementia (ADD) is often accompanied by clinically undetectable comorbid neurodegenerative and cerebrovascular disease that alter the rate of cognitive decline. Aside from causing increased variability in clinical response, it is possible that the major ADD comorbidities may not respond to ADD-specific molecular therapeutics. OBJECTIVE As most reports have focused on comorbidity in the oldest-old, its extent in younger age groups that are more likely to be involved in clinical trials is largely unknown; our objective is to provide this information. METHODS We conducted a survey of neuropathological comorbidities in sporadic ADD using data from the US National Alzheimer's Coordinating Center. Subject data was restricted to those with dementia and meeting National Institute on Aging-Alzheimer's Association intermediate or high AD Neuropathological Change levels, excluding those with known autosomal dominant AD-related mutations. RESULTS Highly prevalent ADD comorbidities are not restricted to the oldest-old but are common even in early-onset ADD. The percentage of cases with ADD as the sole major neuropathological diagnosis is highest in the under-60 group, where "pure" ADD cases are still in the minority at 44%. After this AD as a sole major pathology in ADD declines to roughly 20%in the 70s and beyond. Lewy body disease is the most common comorbidity at younger ages but actually is less common at later ages, while for most others, their prevalence increases with age. CONCLUSION Alzheimer's disease neuropathological comorbidities are highly prevalent even in the younger-old.
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Zhang L, Biessels GJ, Hilal S, Chong JSX, Liu S, Shim HY, Xu X, Chong EJY, Wong ZX, Loke YM, Venketasubramanian N, Yeow TB, Chen CLH, Zhou JH. Cerebral microinfarcts affect brain structural network topology in cognitively impaired patients. J Cereb Blood Flow Metab 2021; 41:105-115. [PMID: 31986957 PMCID: PMC7747167 DOI: 10.1177/0271678x20902187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Cerebral microinfarcts (CMIs), a novel cerebrovascular marker, are prevalent in Alzheimer's disease (AD) and associated with cognitive impairment. Nonetheless, the underlying mechanism of how CMIs influence cognition remains uncertain. We hypothesized that cortical-CMIs disrupted structural connectivity in the higher-order cognitive networks, leading to cognitive impairment. We analyzed diffusion-MRI data of 92 AD (26 with cortical-CMIs) and 110 cognitive impairment no dementia patients (CIND, 28 with cortical-CMIs). We compared structural network topology between groups with and without cortical-CMIs in AD/CIND, and tested whether structural connectivity mediated the association between cortical-CMIs and cognition. Cortical-CMIs correlated with impaired structural network topology (i.e. lower efficiency/degree centrality in the executive control/dorsal attention networks in CIND, and lower clustering coefficient in the default mode/dorsal attention networks in AD), which mediated the association of cortical-CMIs with visuoconstruction dysfunction. Our findings provide the first in vivo human evidence that cortical-CMIs impair cognition in elderly via disrupting structural connectivity.
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Affiliation(s)
- Liwen Zhang
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore.,Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Geert Jan Biessels
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Joanna Su Xian Chong
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore.,Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Siwei Liu
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore.,Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Hee Youn Shim
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore
| | - Xin Xu
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Eddie Jun Yi Chong
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Zi Xuen Wong
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Yng Miin Loke
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore
| | | | | | - Christopher Li-Hsian Chen
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore
| | - Juan Helen Zhou
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore.,Centre for Sleep and Cognition, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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120
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Kozberg MG, Perosa V, Gurol ME, van Veluw SJ. A practical approach to the management of cerebral amyloid angiopathy. Int J Stroke 2020; 16:356-369. [PMID: 33252026 DOI: 10.1177/1747493020974464] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Cerebral amyloid angiopathy is a common small vessel disease in the elderly involving vascular amyloid-β deposition. Cerebral amyloid angiopathy is one of the leading causes of intracerebral hemorrhage and a significant contributor to age-related cognitive decline. The awareness of a diagnosis of cerebral amyloid angiopathy is important in clinical practice as it impacts decisions to use lifelong anticoagulation or nonpharmacological alternatives to anticoagulation such as left atrial appendage closure in patients who have concurrent atrial fibrillation, another common condition in older adults. This review summarizes the latest literature regarding the management of patients with sporadic cerebral amyloid angiopathy, including diagnostic criteria, imaging biomarkers for cerebral amyloid angiopathy severity, and management strategies to decrease intracerebral hemorrhage risk. In a minority of patients, the presence of cerebral amyloid angiopathy triggers an autoimmune inflammatory reaction, referred to as cerebral amyloid angiopathy-related inflammation, which is often responsive to immunosuppressive treatment in the acute phase. Diagnosis and management of cerebral amyloid angiopathy-related inflammation will be presented separately. While there are currently no effective therapeutics available to cure or halt the progression of cerebral amyloid angiopathy, we discuss emerging avenues for potential future interventions.
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Affiliation(s)
- Mariel G Kozberg
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Valentina Perosa
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - M Edip Gurol
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
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121
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Ii Y, Ishikawa H, Shindo A, Matsuyama H, Matsuura K, Matsuda K, Yoshimaru K, Satoh M, Kogue R, Umino M, Maeda M, Tomimoto H. Association between cortical microinfarcts and total small vessel disease burden in cerebral amyloid angiopathy on 3-Tesla magnetic resonance imaging. Eur J Neurol 2020; 28:794-799. [PMID: 33098163 DOI: 10.1111/ene.14610] [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: 08/21/2020] [Accepted: 10/19/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Cortical microinfarcts (CMIs) are frequently found in the brains of patients with advanced cerebral amyloid angiopathy (CAA) at autopsy. The small vessel disease (SVD) score for CAA (i.e., the CAA-SVD score) has been proposed to evaluate the severity of CAA-associated vasculopathic changes by a combination of magnetic resonance imaging (MRI) markers. The aim of this study was to examine the association between total CAA-SVD score and features of CMIs on in vivo 3-Tesla MRI. METHODS Eighty patients with probable CAA were retrospectively analyzed. Lobar cerebral microbleeds, cortical superficial siderosis, enlargement of perivascular space in the centrum semiovale and white matter hyperintensity were collectively assessed, and the total CAA-SVD score was calculated. The presence of CMI was also examined. RESULTS Of the 80 patients, 13 (16.25%) had CMIs. CMIs were detected more frequently in the parietal and occipital lobes. A positive correlation was found between total CAA-SVD score and prevalence of CMI (ρ = 0.943; p = 0.005). Total CAA-SVD score was significantly higher in patients with CMIs than in those without (p = 0.009). In a multivariable logistic regression analysis, the presence of CMIs was significantly associated with total CAA-SVD score (odds ratio 2.318 [95% confidence interval 1.228-4.376]; p = 0.01, per each additional point). CONCLUSIONS The presence of CMIs with a high CAA-SVD score could be an indicator of more severe amyloid-associated vasculopathic changes in patients with probable CAA.
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Affiliation(s)
- Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hirofumi Matsuyama
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Keita Matsuura
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Kana Matsuda
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Kimiko Yoshimaru
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Mie, Japan
| | - Masayuki Satoh
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Mie, Japan
| | - Ryota Kogue
- Department of Radiology, Mie University Graduate School of Medicine, Mie, Japan
| | - Maki Umino
- Department of Radiology, Mie University Graduate School of Medicine, Mie, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
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Wan T, Wei P, Yao Y, Liu H, Li J. Association of Carotid Plaque and Serum Lipoprotein-Associated Phospholipase A2 (LP-PLA2) with Postoperative Delirium in Geriatric Patients Undergoing Hip Replacement: A Prospective Cohort Study. Med Sci Monit 2020; 26:e927763. [PMID: 33188662 PMCID: PMC7673065 DOI: 10.12659/msm.927763] [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] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The aim of this study was to investigate the relationships among carotid plaque (CP), serum lipoprotein-associated phospholipase (LP-PLA2), and POD in elderly patients. MATERIAL AND METHODS Sixty-two elderly patients undergoing hip replacement with spinal-epidural anesthesia were divided into CP and non-CP groups based on the preoperative presence or absence of carotid atherosclerotic plaques, as assessed by ultrasound. POD was diagnosed by means of the Confusion Assessment Method (CAM). Blood samples were collected (preoperatively, postoperatively, and postoperative day 2) for the assessment of serum LP-PLA2 by enzyme-linked immunosorbent assay. The CP group was further divided into POD and no-POD subgroups based on the occurrence of POD. RESULTS The incidence of POD was higher in the CP group than in the non-CP group (P0.05), it was higher in the CP group than in the non-CP group postoperatively and on postoperative day 2 (P0.05), but was significantly higher in the POD subgroup than in the no-POD subgroup on postoperative day 2 (P<0.05). Furthermore, the LP-PLA2 level on postoperative day 2 was an independent risk factor for POD (odds ratio: 1.03, 95% confidence interval: 1.00-1.07). CONCLUSIONS The preoperative presence of carotid plaque is closely associated with a higher incidence of POD. The potential mechanism may involve the increased expression of LP-PLA2 in the serum, which can lead to plaque destabilization and subsequent inflammatory cascades.
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Affiliation(s)
- Tiantian Wan
- Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China (mainland)
| | - Penghui Wei
- Department of Anesthesiology, Qilu Hospital of Shandong University (Qingdao), Qingdao, Shandong, China (mainland)
| | - Yong Yao
- Department of Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Hui Liu
- Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China (mainland)
| | - Jianjun Li
- Department of Anesthesiology, Qilu Hospital of Shandong University (Qingdao), Qingdao, Shandong, China (mainland)
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Cerebral micro-infarcts; the hidden missing link to vascular cognitive decline. J Neurol Sci 2020; 420:117171. [PMID: 33268082 DOI: 10.1016/j.jns.2020.117171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 11/23/2022]
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124
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Lubart A, Benbenishty A, Har-Gil H, Laufer H, Gdalyahu A, Assaf Y, Blinder P. Single Cortical Microinfarcts Lead to Widespread Microglia/Macrophage Migration Along the White Matter. Cereb Cortex 2020; 31:248-266. [PMID: 32954425 DOI: 10.1093/cercor/bhaa223] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 05/13/2020] [Accepted: 06/08/2020] [Indexed: 12/31/2022] Open
Abstract
Loss of cognitive function with aging is a complex and poorly understood process. Recently, clinical research has linked the occurrence of cortical microinfarcts to cognitive decline. Cortical microinfarcts form following the occlusion of penetrating vessels and are considered to be restricted to the proximity of the occluded vessel. Whether and how such local events propagate and affect remote brain regions remain unknown. To this end, we combined histological analysis and longitudinal diffusion tensor imaging (DTI), following the targeted-photothrombotic occlusion of single cortical penetrating vessels. Occlusions resulted in distant tissue reorganization across the mouse brain. This remodeling co-occurred with the formation of a microglia/macrophage migratory path along subcortical white matter tracts, reaching the contralateral hemisphere through the corpus callosum and leaving a microstructural signature detected by DTI-tractography. CX3CR1-deficient mice exhibited shorter trail lengths, differential remodeling, and only ipsilateral white matter tract changes. We concluded that microinfarcts lead to brain-wide remodeling in a microglial CX3CR1-dependent manner.
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Affiliation(s)
- Alisa Lubart
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Amit Benbenishty
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.,Biological Regulation Department, The Weizmann Institute of Science, Rehovot, Israel
| | - Hagai Har-Gil
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Hadas Laufer
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Amos Gdalyahu
- Neurobiology, Biochemistry and Biophysics School, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Yaniv Assaf
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.,Neurobiology, Biochemistry and Biophysics School, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Pablo Blinder
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.,Neurobiology, Biochemistry and Biophysics School, Tel Aviv University, Tel Aviv-Yafo, Israel
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Stringer MS, Lee H, Huuskonen MT, MacIntosh BJ, Brown R, Montagne A, Atwi S, Ramirez J, Jansen MA, Marshall I, Black SE, Zlokovic BV, Benveniste H, Wardlaw JM. A Review of Translational Magnetic Resonance Imaging in Human and Rodent Experimental Models of Small Vessel Disease. Transl Stroke Res 2020; 12:15-30. [PMID: 32936435 PMCID: PMC7803876 DOI: 10.1007/s12975-020-00843-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/16/2020] [Accepted: 08/19/2020] [Indexed: 12/29/2022]
Abstract
Cerebral small vessel disease (SVD) is a major health burden, yet the pathophysiology remains poorly understood with no effective treatment. Since much of SVD develops silently and insidiously, non-invasive neuroimaging such as MRI is fundamental to detecting and understanding SVD in humans. Several relevant SVD rodent models are established for which MRI can monitor in vivo changes over time prior to histological examination. Here, we critically review the MRI methods pertaining to salient rodent models and evaluate synergies with human SVD MRI methods. We found few relevant publications, but argue there is considerable scope for greater use of MRI in rodent models, and opportunities for harmonisation of the rodent-human methods to increase the translational potential of models to understand SVD in humans. We summarise current MR techniques used in SVD research, provide recommendations and examples and highlight practicalities for use of MRI SVD imaging protocols in pre-selected, relevant rodent models.
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Affiliation(s)
- Michael S Stringer
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Hedok Lee
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Mikko T Huuskonen
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Bradley J MacIntosh
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Rosalind Brown
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Axel Montagne
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sarah Atwi
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Maurits A Jansen
- Edinburgh Preclinical Imaging, Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Ian Marshall
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Sandra E Black
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Berislav V Zlokovic
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. .,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
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Ladwig KH, Goette A, Atasoy S, Johar H. Psychological aspects of atrial fibrillation: A systematic narrative review : Impact on incidence, cognition, prognosis, and symptom perception. Curr Cardiol Rep 2020; 22:137. [PMID: 32910300 PMCID: PMC7496063 DOI: 10.1007/s11886-020-01396-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE OF THE REVIEW Atrial fibrillation (AF) is the most frequent arrhythmia in the general population. This review aims to provide a comprehensive overview of the psychological aspects of AF, compiling evidence from epidemiological, clinical, and basic research sources. RECENT FINDINGS Findings from large-scale population-based and clinical longitudinal studies reveal an association between negative affectivity (e.g. depression) and the incidence and clinical prognosis of AF. Studies investigating the impact of work stress parameters on AF onset show conflicting results. Researchers have reported the impact of AF on cognitive decline and on health-related quality of life, and have highlighted the role of interoceptive cues in the development of AF symptom burden and gender differences in psychological covariates of AF. Among biological pathways linking psychosocial factors to AF, research on autonomic regulation has yielded the most evidence so far, showing that the onset of AF is associated with simultaneous sympatho-vagal activation rather than an increase in vagal or sympathetic drive alone. Thus, modulation of the autonomic nervous system is likely to be a promising strategy for protecting the myocardium from pro-arrhythmic autonomic influences. In total, the findings show that AF is embedded as a disease condition in a psycho-societal context and is not an isolated medical problem per se. A broader perspective than a focus on the electrophysiology alone is urgently needed.
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Affiliation(s)
- Karl-Heinz Ladwig
- Department of Psychosomatic Medicine and Psychotherapy, Klinikum rechts der Isar, Technische Universität München (TUM), Langerstr. 3, 81675 Munich, Germany
- Institute of Epidemiology, Mental Health Research Unit, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner site Munich Heart Alliance, Munich, Germany
| | - Andreas Goette
- St. Vincenz-Krankenhaus GmbH, Medizinischen Klinik II, Paderborn, Germany
- Working Group on Molecular Electrophysiology, University Hospital Magdeburg, Magdeburg, Germany
| | - Seryan Atasoy
- Department of Psychosomatic Medicine and Psychotherapy, Klinikum rechts der Isar, Technische Universität München (TUM), Langerstr. 3, 81675 Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner site Munich Heart Alliance, Munich, Germany
- Department of Psychosomatic Medicine and Psychotherapy, University of Gießen and Marburg, Marburg, Germany
| | - Hamimatunnisa Johar
- Institute of Epidemiology, Mental Health Research Unit, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Psychosomatic Medicine and Psychotherapy, University of Gießen and Marburg, Marburg, Germany
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127
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Ferro DA, Mutsaerts HJ, Hilal S, Kuijf HJ, Petersen ET, Petr J, van Veluw SJ, Venketasubramanian N, Yeow TB, Biessels GJ, Chen C. Cortical microinfarcts in memory clinic patients are associated with reduced cerebral perfusion. J Cereb Blood Flow Metab 2020; 40:1869-1878. [PMID: 31558107 PMCID: PMC7430096 DOI: 10.1177/0271678x19877403] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Cerebral cortical microinfarcts (CMIs) are small ischemic lesions associated with cognitive impairment and dementia. CMIs are frequently observed in cortical watershed areas suggesting that hypoperfusion contributes to their development. We investigated if presence of CMIs was related to a decrease in cerebral perfusion, globally or specifically in cortex surrounding CMIs. In 181 memory clinic patients (mean age 72 ± 9 years, 51% male), CMI presence was rated on 3-T magnetic resonance imaging (MRI). Cerebral perfusion was assessed from cortical gray matter of the anterior circulation using pseudo-continuous arterial spin labeling parameters cerebral blood flow (CBF) (perfusion in mL blood/100 g tissue/min) and spatial coefficient of variation (CoV) (reflecting arterial transit time (ATT)). Patients with CMIs had a 12% lower CBF (beta = -.20) and 22% higher spatial CoV (beta = .20) (both p < .05) without a specific regional pattern on voxel-based CBF analysis. CBF in a 2 cm region-of-interest around the CMIs did not differ from CBF in a reference zone in the contralateral hemisphere. These findings show that CMIs in memory clinic patients are primarily related to global reductions in cerebral perfusion, thus shedding new light on the etiology of vascular brain injury in dementia.
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Affiliation(s)
- Doeschka A Ferro
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Henri Jjm Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Saima Hilal
- Department of Radiology and Nuclear Medicine & Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Memory Aging and Cognition Centre, Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands
| | - Esben T Petersen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | - Jan Petr
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Susanne J van Veluw
- Department of Neurology, J.P.K. Stroke Research Center, Massachusetts General Hospital, Boston, USA
| | | | | | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Christopher Chen
- Memory Aging and Cognition Centre, Department of Pharmacology, National University of Singapore, Singapore, Singapore
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128
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Wei Y, Pu Y, Pan Y, Nie X, Duan W, Liu D, Yan H, Lu Q, Zhang Z, Yang Z, Wen M, Gu W, Hou X, Ma N, Leng X, Miao Z, Liu L. Cortical Microinfarcts Associated With Worse Outcomes in Patients With Acute Ischemic Stroke Receiving Endovascular Treatment. Stroke 2020; 51:2742-2751. [PMID: 32811382 DOI: 10.1161/strokeaha.120.030895] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We aimed to evaluate the impact of cortical microinfarcts (CMIs) on functional outcome after endovascular treatment in patients with acute ischemic stroke. METHODS In a multicenter registration study for RESCUE-RE (a registration study for Critical Care of Acute Ischemic Stroke After Recanalization), eligible patients with large vessel occlusion stroke receiving endovascular treatment, who had undergone 3T magnetic resonance imaging on admission or within 24 hours after endovascular treatment were analyzed. We evaluated the presence and numbers of CMIs with assessment of axial T1, T2-weighted images, and fluid-attenuated inversion recovery images. The primary outcome was functional dependence or death defined as modified Rankin Scale scores of 3 to 6 at 90 days. Secondary outcomes included early neurological improvement, any intracranial hemorrhage, symptomatic intracranial hemorrhage, and mortality. We investigated the independent associations of CMIs with the outcomes using multivariable logistic regression in overall patients and in subgroups. RESULTS Among 414 patients (enrolled from July 2018 to May 2019) included in the analyses, 96 (23.2%) patients had at least one CMI (maximum 6). Patients with CMI(s) were more likely to be functionally dependent or dead at 90 days, compared with those without (55.2% versus 37.4%; P<0.01). In multivariable logistic regression analyses, presence of CMI(s) (adjusted odds ratio, 1.78 [95% CI, 1.04-3.07]; P=0.04) and multiple CMIs (CMIs ≥2; adjusted odds ratio, 7.41 [95% CI, 2.48-22.17]; P<0.001) were independently, significantly associated with the primary outcome. There was no significant difference between subgroups in the associations between CMI presence and the primary outcome. CONCLUSIONS Acute large vessel occlusion stroke patients receiving endovascular treatment with CMI(s) were more likely to have a poor functional outcome at 90 days, independent of patients' characteristics. Such associations may be dose-dependent. Registration: URL: http://www.chictr.org.cn; Unique identifier: ChiCTR1900022154.
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Affiliation(s)
- Yufei Wei
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Yuehua Pu
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Yuesong Pan
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Ximing Nie
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Wanying Duan
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Dacheng Liu
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Hongyi Yan
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Qixuan Lu
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Zhe Zhang
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Zhonghua Yang
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Miao Wen
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
| | - Weibin Gu
- Department of Radiology (W.G., X.H.), Beijing Tiantan Hospital, Capital Medical University, China
| | - Xinyi Hou
- Department of Radiology (W.G., X.H.), Beijing Tiantan Hospital, Capital Medical University, China
| | - Ning Ma
- Department of Interventional Neurology (N.M., Z.M.), Beijing Tiantan Hospital, Capital Medical University, China
| | - Xinyi Leng
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China (X.L.)
| | - Zhongrong Miao
- Department of Interventional Neurology (N.M., Z.M.), Beijing Tiantan Hospital, Capital Medical University, China
| | - Liping Liu
- Department of Neurology (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.), Beijing Tiantan Hospital, Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing (Y.W., Y. Pu, Y. Pan, X.N., W.D., D.L., H.Y., Q.L., Z.Z., Z.Y., M.W., L.L.)
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129
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Ferro D, van den Brink H, Amier R, van Buchem M, de Bresser J, Bron E, Brunner-La Rocca HP, Hooghiemstra A, Marcks N, van Rossum A, Biessels GJ. Cerebral cortical microinfarcts: A novel MRI marker of vascular brain injury in patients with heart failure. Int J Cardiol 2020; 310:96-102. [DOI: 10.1016/j.ijcard.2020.04.032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/02/2020] [Accepted: 04/09/2020] [Indexed: 11/25/2022]
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130
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Ouin E, Jouvent E. [Clinico-radiological spectrum of cerebral small vessel diseases]. Rev Med Interne 2020; 41:459-468. [PMID: 32540119 DOI: 10.1016/j.revmed.2020.02.013] [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: 12/04/2019] [Revised: 02/06/2020] [Accepted: 02/13/2020] [Indexed: 11/18/2022]
Abstract
Cerebral small vessel diseases are frequent and can be seen through all ages. Although the most frequent forms related to age and hypertension or to cerebral amyloid angiopathy are mainly observed in subjects over 50 years of age, rarer forms may affect young people, sometimes even children. Some familial or inflammatory forms can be particularly misleading with some presentations very difficult to relate to a microvascular origin. Cerebral small vessel diseases thus raise both daily therapeutic issues and much rarer diagnostic questions, sometimes extremely complex. Our aim was to review the main clinical initial presentations and the clinico-radiological spectrum of associated underlying conditions.
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Affiliation(s)
- E Ouin
- Inserm U1141, service de neurologie et centre des maladies vasculaires rares du cerveau et de l'œil (CERVCO), hôpital Lariboisière, université de Paris, AP-HP, 75475 Paris, France; Département de neurologie, hôpitaux universitaires d'Amiens, Amiens, France
| | - E Jouvent
- Inserm U1141, service de neurologie et centre des maladies vasculaires rares du cerveau et de l'œil (CERVCO), hôpital Lariboisière, université de Paris, AP-HP, 75475 Paris, France.
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131
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Biessels GJ, Nobili F, Teunissen CE, Simó R, Scheltens P. Understanding multifactorial brain changes in type 2 diabetes: a biomarker perspective. Lancet Neurol 2020; 19:699-710. [PMID: 32445622 DOI: 10.1016/s1474-4422(20)30139-3] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 03/20/2020] [Accepted: 04/08/2020] [Indexed: 12/14/2022]
Abstract
People with type 2 diabetes are at an increased risk of cognitive impairment and dementia (including Alzheimer's disease), as well as subtle forms of cognitive dysfunction. Current diabetes guidelines recommend screening for cognitive impairment in groups at high risk and providing guidance for diabetes management in patients with diabetes and cognitive impairment. Yet, no disease-modifying treatment is available and important questions remain about the mechanisms underlying diabetes-associated cognitive dysfunction. These mechanisms are likely to be multifactorial and different for subtle and more severe forms of diabetes-associated cognitive dysfunction. Over the past years, research on dementia, brain ageing, diabetes, and vascular disease has identified novel biomarkers of specific dementia aetiologies, brain parenchymal injury, and cerebral blood flow and metabolism. These markers shed light on the processes underlying diabetes-associated cognitive dysfunction, have clear applications in current research and increasingly in clinical diagnosis, and might ultimately guide targeted treatment.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics, and Child and Mother Health, University of Genoa, Genoa, Italy; Clinical Neurology Unit, IRCSS Ospedale Policlinico San Martino, Genoa, Italy
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam, Netherlands
| | - Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center Amsterdam, Amsterdam, Netherlands
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132
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Shindo A, Ishikawa H, Ii Y, Niwa A, Tomimoto H. Clinical Features and Experimental Models of Cerebral Small Vessel Disease. Front Aging Neurosci 2020; 12:109. [PMID: 32431603 PMCID: PMC7214616 DOI: 10.3389/fnagi.2020.00109] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 03/30/2020] [Indexed: 12/24/2022] Open
Abstract
Cerebral small vessel disease (SVD) refers to a group of disease conditions affecting the cerebral small vessels, which include the small arteries, arterioles, capillaries, and postcapillary venules in the brain. SVD is the primary cause of vascular cognitive impairment and gait disturbances in aged people. There are several types of SVD, though arteriolosclerosis, which is mainly associated with hypertension, aging, and diabetes mellitus, and cerebral amyloid angiopathy (CAA) comprise most SVD cases. The pathology of arteriolosclerosis-induced SVD is characterized by fibrinoid necrosis and lipohyalinosis, while CAA-associated SVD is characterized by progressive deposition of amyloid beta (Aβ) protein in the cerebral vessels. Brain magnetic resonance imaging (MRI) has been used for examination of SVD lesions; typical lesions are characterized by white matter hyperintensity, lacunar infarcts, enlargement of perivascular spaces (EPVS), microbleeds, cortical superficial siderosis (cSS), and cortical microinfarcts. The microvascular changes that occur in the small vessels are difficult to identify clearly; however, these consequent image findings can represent the SVD. There are two main strategies for prevention and treatment of SVD, i.e., pharmacotherapy and lifestyle modification. In this review, we discuss clinical features of SVD, experimental models replicating SVD, and treatments to further understand the pathological and clinical features of SVD.
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Affiliation(s)
- Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Atsushi Niwa
- Department of Neurology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
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133
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Ter Telgte A, Scherlek AA, Reijmer YD, van der Kouwe AJ, van Harten T, Duering M, Bacskai BJ, de Leeuw FE, Frosch MP, Greenberg SM, van Veluw SJ. Histopathology of diffusion-weighted imaging-positive lesions in cerebral amyloid angiopathy. Acta Neuropathol 2020; 139:799-812. [PMID: 32108259 DOI: 10.1007/s00401-020-02140-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/25/2020] [Accepted: 02/21/2020] [Indexed: 11/24/2022]
Abstract
Small subclinical hyperintense lesions are frequently encountered on brain diffusion-weighted imaging (DWI) scans of patients with cerebral amyloid angiopathy (CAA). Interpretation of these DWI+ lesions, however, has been limited by absence of histopathological examination. We aimed to determine whether DWI+ lesions represent acute microinfarcts on histopathology in brains with advanced CAA, using a combined in vivo MRI-ex vivo MRI-histopathology approach. We first investigated the histopathology of a punctate cortical DWI+ lesion observed on clinical in vivo MRI 7 days prior to death in a CAA case. Subsequently, we assessed the use of ex vivo DWI to identify similar punctate cortical lesions post-mortem. Intact formalin-fixed hemispheres of 12 consecutive cases with CAA and three non-CAA controls were subjected to high-resolution 3 T ex vivo DWI and T2 imaging. Small cortical lesions were classified as either DWI+/T2+ or DWI-/T2+. A representative subset of lesions from three CAA cases was selected for detailed histopathological examination. The DWI+ lesion observed on in vivo MRI could be matched to an area with evidence of recent ischemia on histopathology. Ex vivo MRI of the intact hemispheres revealed a total of 130 DWI+/T2+ lesions in 10/12 CAA cases, but none in controls (p = 0.022). DWI+/T2+ lesions examined histopathologically proved to be acute microinfarcts (classification accuracy 100%), characterized by presence of eosinophilic neurons on hematoxylin and eosin and absence of reactive astrocytes on glial fibrillary acidic protein-stained sections. In conclusion, we suggest that small DWI+ lesions in CAA represent acute microinfarcts. Furthermore, our findings support the use of ex vivo DWI as a method to detect acute microinfarcts post-mortem, which may benefit future histopathological investigations on the etiology of microinfarcts.
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Affiliation(s)
- Annemieke Ter Telgte
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ashley A Scherlek
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
| | - Yael D Reijmer
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Andre J van der Kouwe
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Thijs van Harten
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marco Duering
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Brian J Bacskai
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Matthew P Frosch
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
- Neuropathology Service, C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA.
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Verny M, Duyckaerts C. Cognitive deficit, and neuropathological correlates, in the oldest-old. Rev Neurol (Paris) 2020; 176:670-676. [PMID: 32178879 DOI: 10.1016/j.neurol.2020.01.355] [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: 12/19/2019] [Revised: 01/06/2020] [Accepted: 01/07/2020] [Indexed: 12/14/2022]
Abstract
Several disorders are usually involved in the cognitive deficit of the oldest old. Alzheimer disease is the commonest. It is usually characterized by progressive memory impairment - neocortical symptoms occurring much later in the course of the disease. Alzheimer disease should not be considered any more as the single cause of a cognitive deficit in a very old patient. Vascular alterations, possibly causing microinfarcts, are commonly associated, especially in cerebral amyloid angiopathy. A slowly progressive memory deficit with negative CSF biomarkers of Alzheimer's disease may be due to hippocampal sclerosis that may be the consequence of multiple causes: in most of the cases, it is associated with neuronal TDP-43 inclusions. Recently, a distribution of these inclusions to a territory more extensive than the hippocampus has been reported and attributed to a new entity, called Limbic-predominant Age-related TDP-43 Encephalopathy (LATE) with or without hippocampal sclerosis. The presence of cortical Lewy bodies may cause an intellectual deficit or contribute to it. The prevalence of dementia with cortical Lewy bodies in the oldest old is discussed. Tau inclusions in cortical glia have also been shown to participate to the intellectual deficit. Association of neurodegenerative and vascular changes is the most frequent situation in the very old patients. Systemic diseases such as diabetes or heart failure, prescription drugs (when misused), or toxic such as alcohol may also contribute to the cognitive impairment and be amenable to treatment.
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Affiliation(s)
- M Verny
- Centre de gériatrie, pavillon Marguerite-Bottard, hôpital de la Pitié-Salpêtrière, AP-HP, Sorbonne Université, 47-83, boulevard de l'Hôpital, 75651 Paris cedex, France; Team Neuronal Cell Biology & Pathology, Sorbonne University and UMR8256 (CNRS), Paris, France.
| | - C Duyckaerts
- Département de Neuropathologie Escourolle, AP-HP Sorbonne Université, Paris, France; ICM, équipe Alzheimer-Prions, Paris, France
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135
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Yilmazer-Hanke D, Mayer T, Müller HP, Neugebauer H, Abaei A, Scheuerle A, Weis J, Forsberg KME, Althaus K, Meier J, Ludolph AC, Del Tredici K, Braak H, Kassubek J, Rasche V. Histological correlates of postmortem ultra-high-resolution single-section MRI in cortical cerebral microinfarcts. Acta Neuropathol Commun 2020; 8:33. [PMID: 32169123 PMCID: PMC7071593 DOI: 10.1186/s40478-020-00900-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 02/21/2020] [Indexed: 02/07/2023] Open
Abstract
The identification of cerebral microinfarctions with magnetic resonance imaging (MRI) and histological methods remains challenging in aging and dementia. Here, we matched pathological changes in the microvasculature of cortical cerebral microinfarcts to MRI signals using single 100 μm-thick histological sections scanned with ultra-high-resolution 11.7 T MRI. Histologically, microinfarcts were located in superficial or deep cortical layers or transcortically, compatible with the pattern of layer-specific arteriolar blood supply of the cerebral cortex. Contrary to acute microinfarcts, at chronic stages the core region of microinfarcts showed pallor with extracellular accumulation of lipofuscin and depletion of neurons, a dense meshwork of collagen 4-positive microvessels with numerous string vessels, CD68-positive macrophages and glial fibrillary acidic protein (GFAP)-positive astrocytes. In MRI scans, cortical microinfarcts at chronic stages, called chronic cortical microinfarcts here, gave hypointense signals in T1-weighted and hyperintense signals in T2-weighted images when thinning of the tissue and cavitation and/or prominent iron accumulation were present. Iron accumulation in chronic microinfarcts, histologically verified with Prussian blue staining, also produced strong hypointense T2*-weighted signals. In summary, the microinfarct core was occupied by a dense microvascular meshwork with string vessels, which was invaded by macrophages and astroglia and contained various degrees of iron accumulation. While postmortem ultra-high-resolution single-section imaging improved MRI-histological matching and the structural characterization of chronic cortical cerebral microinfarcts, miniscule microinfarcts without thinning or iron accumulation could not be detected with certainty in the MRI scans. Moreover, string vessels at the infarct margin indicate disturbances in the microcirculation in and around microinfarcts, which might be exploitable in the diagnostics of cortical cerebral microinfarcts with MRI in vivo.
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Abstract
Covert brain infarcts (CBIs) are five times more prevalent than symptomatic brain infarcts. CBIs are associated with cognitive impairment and therefore may be a target for preventing cognitive decline and dementia. This review focuses on strategies for preventing CBI-related cognitive impairment, either by preventing incident or recurrent CBI or by enhancing cognitive reserve. CBIs begin to become prevalent during midlife and are highly prevalent in later life. The distribution of vascular pathologies of CBI differs from those that cause symptomatic stroke; therefore, preventive treatments may need to differ as well. Only a few randomized clinical trials have provided data on CBI prevention, without conclusive results. Limited data suggest that higher early-life education, hypothesized to enhance cognitive reserve, can protect the brain from effects of CBI.
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137
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Ishikawa H, Ii Y, Shindo A, Tabei KI, Umino M, Ito AO, Matsuura K, Taniguchi A, Matsuyama H, Niwa A, Ogura T, Yoshimaru K, Satoh M, Maeda M, Tomimoto H. Cortical Microinfarcts Detected by 3-Tesla Magnetic Resonance Imaging. Stroke 2020; 51:1010-1013. [DOI: 10.1161/strokeaha.119.028202] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background and Purpose—
Cortical microinfarcts (CMIs) are small ischemic lesions found in cerebral amyloid angiopathy (CAA) and embolic stroke. This study aimed to differentiate CMIs caused by CAA from those caused by microembolisms, using 3-Tesla magnetic resonance imaging.
Methods—
We retrospectively investigated 70 patients with at least 1 cortical infarct <10 mm on 3-dimensional double inversion recovery imaging. Of the 70 patients, 43 had an embolic stroke history (Emboli-G) while 27 had CAA-group. We compared the size, number, location, and distribution of CMIs between groups and designed a radiological score for differentiation based on the comparisons.
Results—
CAA-group showed significantly more lesions <5 mm, which were restricted to the cortex (
P
<0.01). Cortical lesion number was significantly higher in Emboli-G than in CAA-group (4 versus 2;
P
<0.01). Lesions in CAA-group and Emboli-G were disproportionately located in the occipital lobe (
P
<0.01) and frontal or parietal lobe (
P
=0.04), respectively. In radiological scoring, ≥3 points strongly predicted microembolism (sensitivity, 63%; specificity, 92%) or CAA (sensitivity, 63%; specificity, 91%). The areas under the receiver operating characteristic curve were 0.85 and 0.87 for microembolism and CAA, respectively.
Conclusions—
Characteristics of CMIs on 3T-magnetic resonance imaging may differentiate CMIs due to CAA from those due to microembolisms.
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Affiliation(s)
- Hidehiro Ishikawa
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Yuichiro Ii
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Akihiro Shindo
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Ken-ichi Tabei
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
- Master Program of Innovation for Design and Engineering, Advanced Institute of Industrial Technology, Tokyo Metropolitan University, Japan (K.-i.T.)
| | - Maki Umino
- Department of Radiology (M.U.), Mie University Hospital, Tsu, Japan
| | - Ai Ogawa Ito
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Keita Matsuura
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Akira Taniguchi
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Hirofumi Matsuyama
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Atsushi Niwa
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
| | - Toru Ogura
- Clinical Research Support Center (T.O.), Mie University Hospital, Tsu, Japan
| | - Kimiko Yoshimaru
- Department of Dementia Prevention and Therapeutics (K.Y., M.S.), Mie University Hospital, Tsu, Japan
| | - Masayuki Satoh
- Department of Dementia Prevention and Therapeutics (K.Y., M.S.), Mie University Hospital, Tsu, Japan
| | - Masayuki Maeda
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan (M.M.)
| | - Hidekazu Tomimoto
- From the Department of Neurology (H.I., Y.I., A.S., K.-i.T., A.O.I., K.M., A.T., H.M., A.N., H.T.), Mie University Hospital, Tsu, Japan
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138
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Sachdev PS. Developing robust biomarkers for vascular cognitive disorders: adding 'V' to the AT(N) research framework. Curr Opin Psychiatry 2020; 33:148-155. [PMID: 31895155 DOI: 10.1097/yco.0000000000000577] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The AT(N) research framework was introduced in 2018 to define Alzheimer's disease as a biological entity. It is recognized that Alzheimer's disease lesions rarely occur in isolation in older brains, with cerebrovascular disease (CVD) being a common comorbidity. To fully characterize the disorder of dementia, the AT(N) framework needs to be extended with biomarkers for other disorders. The present review examines some of the requirements for adding a 'V' to the AT(N), and examines the currently available biomarkers as definitive markers of CVD. RECENT FINDINGS Neuroimaging biomarkers of CVD have received the greatest attention, with rapid advances in MRI techniques showing the greatest promise. Challenges remain in standardization of techniques, validation of some of the results and assessing total CVD burden from diverse lesion types. Retinal imaging shows promise as a window to cerebral vasculature. Biochemical markers are advancing rapidly, but their specificity for CVD is not established. SUMMARY Biomarkers of CVD have seen rapid advances but further validation and determination of their specificity are needed before they can be reliably used to delineate a V in the AT(N) framework as definitive indicators of significant CVD.
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Affiliation(s)
- Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales and the Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
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139
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De Guio F, Duering M, Fazekas F, De Leeuw FE, Greenberg SM, Pantoni L, Aghetti A, Smith EE, Wardlaw J, Jouvent E. Brain atrophy in cerebral small vessel diseases: Extent, consequences, technical limitations and perspectives: The HARNESS initiative. J Cereb Blood Flow Metab 2020; 40:231-245. [PMID: 31744377 PMCID: PMC7370623 DOI: 10.1177/0271678x19888967] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Brain atrophy is increasingly evaluated in cerebral small vessel diseases. We aim at systematically reviewing the available data regarding its extent, correlates and cognitive consequences. Given that in this context, brain atrophy measures might be biased, the first part of the review focuses on technical aspects. Thereafter, data from the literature are analyzed in light of these potential limitations, to better understand the relationships between brain atrophy and other MRI markers of cerebral small vessel diseases. In the last part, we review the links between brain atrophy and cognitive alterations in patients with cerebral small vessel diseases.
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Affiliation(s)
- François De Guio
- Department of Neurology and Referral Center for Rare Vascular Diseases of the Brain and Retina (CERVCO), APHP, Lariboisière Hospital, Paris, DHU NeuroVasc, Univ Paris Diderot, and U1141 INSERM, France
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Frank-Erik De Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Radboud University, Nijmegen, The Netherlands
| | - Steven M Greenberg
- Department of Neurology, Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Leonardo Pantoni
- "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Agnès Aghetti
- Department of Neurology and Referral Center for Rare Vascular Diseases of the Brain and Retina (CERVCO), APHP, Lariboisière Hospital, Paris, DHU NeuroVasc, Univ Paris Diderot, and U1141 INSERM, France
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, Edinburgh Imaging, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Eric Jouvent
- Department of Neurology and Referral Center for Rare Vascular Diseases of the Brain and Retina (CERVCO), APHP, Lariboisière Hospital, Paris, DHU NeuroVasc, Univ Paris Diderot, and U1141 INSERM, France
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140
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Diener HC, Hart RG, Koudstaal PJ, Lane DA, Lip GYH. Atrial Fibrillation and Cognitive Function: JACC Review Topic of the Week. J Am Coll Cardiol 2020; 73:612-619. [PMID: 30732716 DOI: 10.1016/j.jacc.2018.10.077] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/14/2018] [Accepted: 10/30/2018] [Indexed: 12/15/2022]
Abstract
Numerous vascular risk factors and vascular diseases contribute to cognitive impairment and dementia. Many studies and registries show an association of atrial fibrillation (AF) with cognitive impairment, cognitive decline, and dementia. This is true for vascular dementia and Alzheimer's disease. The assumed multifactorial mechanisms include ischemic stroke, both apparent and silent, cerebral microinfarcts, cerebral hemorrhage, and reduced cerebral blood flow. A number of retrospective observational and prospective studies support that anticoagulation in patients with AF may reduce the risk of cognitive decline and dementia. This holds for both vitamin K antagonists (e.g., warfarin) and direct oral anticoagulants. However, it still remains unproven if anticoagulation reduces cognitive decline and dementia in AF patients based on randomized trials.
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Affiliation(s)
- Hans-Christoph Diener
- Department of Neurology, University Hospital Essen and University Duisburg-Essen, Germany.
| | - Robert G Hart
- Population Health Research Institute/McMaster University, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
| | - Peter J Koudstaal
- Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Deirdre A Lane
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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141
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Huang Q, Liu Y, Liao W, Yang S, Shen L, Tang T, Feng J, Tuo J, Liu L, Tan X, He W. Disruption of Regional Brain Activity and Functional Connectivity in Patients with Asymptomatic Vulnerable Carotid Plaque. Neurosci Lett 2020; 716:134634. [PMID: 31751668 DOI: 10.1016/j.neulet.2019.134634] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 11/14/2019] [Accepted: 11/17/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND & AIMS Studies have shown that moderate to severe stenosis of the carotid was associated with abnormal neural activity and functional connectivity (FC). However, whether there is a change of neuronal activity in individuals with asymptomatic vulnerable carotid plaque but mild stenosis (VCP) remains unknown. METHODS From December 2015 to December 2017, a total of 31 patients with VCP and 31 no carotid plaque (NCP) controls were performed multi-modal state functional magnetic resonance imaging and investigated the regional brain activity and FC. Two basic algorithms of rs-fMRI, arterial spin labeling, and inflammatory biomarkers were comprehensively evaluated. The time series of aberrant ReHo and FC were also extracted and correlated with other clinical imaging features. RESULTS As compared with NCP group, decreased regional brain activity was found mainly in left middle occipital gyrus (MOG) in the VCP group, but there was no significant difference in cerebral blood flow between the two groups. With the left MOG as seed, decreased FC was found between left MOG and right MOG and frontoparietal network in VCP group. Carotid intima-media thickness but not inflammatory biomarkers including high sensitivity c-reactive protein and interleukin-6 was significantly correlated with aberrant ReHo and FC in left MOG and right MOG. CONCLUSIONS regional brain activity and FC may serve as early imaging markers for vascular-related brain dysfunctions and clinical indicators for early intervention of both atherosclerotic cerebral infarction and vascular cognitive impairments.
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Affiliation(s)
- Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China; Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China; Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
| | - Weihua Liao
- Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China; Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China
| | - Shuai Yang
- Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China; Department of Radiology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
| | - Tao Tang
- Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China; Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China
| | - Jia Tuo
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China
| | - Lihui Liu
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China
| | - Xinglin Tan
- Department of Neurology, Nanhai Hospital, Southern Medical University, 28 Liguan Road, Foshan, Guangdong, 528244, PR China.
| | - Wei He
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China; Clinical Research Center for CerebrovascularDiseaseof Hunan Province, Central South University, Changsha, Hunan, 410008, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
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142
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Greenberg SM, Bacskai BJ, Hernandez-Guillamon M, Pruzin J, Sperling R, van Veluw SJ. Cerebral amyloid angiopathy and Alzheimer disease - one peptide, two pathways. Nat Rev Neurol 2020; 16:30-42. [PMID: 31827267 PMCID: PMC7268202 DOI: 10.1038/s41582-019-0281-2] [Citation(s) in RCA: 404] [Impact Index Per Article: 101.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2019] [Indexed: 12/22/2022]
Abstract
The shared role of amyloid-β (Aβ) deposition in cerebral amyloid angiopathy (CAA) and Alzheimer disease (AD) is arguably the clearest instance of crosstalk between neurodegenerative and cerebrovascular processes. The pathogenic pathways of CAA and AD intersect at the levels of Aβ generation, its circulation within the interstitial fluid and perivascular drainage pathways and its brain clearance, but diverge in their mechanisms of brain injury and disease presentation. Here, we review the evidence for and the pathogenic implications of interactions between CAA and AD. Both pathologies seem to be driven by impaired Aβ clearance, creating conditions for a self-reinforcing cycle of increased vascular Aβ, reduced perivascular clearance and further CAA and AD progression. Despite the close relationship between vascular and plaque Aβ deposition, several factors favour one or the other, such as the carboxy-terminal site of the peptide and specific co-deposited proteins. Amyloid-related imaging abnormalities that have been seen in trials of anti-Aβ immunotherapy are another probable intersection between CAA and AD, representing overload of perivascular clearance pathways and the effects of removing Aβ from CAA-positive vessels. The intersections between CAA and AD point to a crucial role for improving vascular function in the treatment of both diseases and indicate the next steps necessary for identifying therapies.
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Affiliation(s)
- Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Brian J Bacskai
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mar Hernandez-Guillamon
- Neurovascular Research Laboratory, Institut de Recerca, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeremy Pruzin
- Center for Alzheimer Research and Treatment, Brigham & Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Reisa Sperling
- Center for Alzheimer Research and Treatment, Brigham & Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Susanne J van Veluw
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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143
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Hilal S, Tan CS, van Veluw SJ, Xu X, Vrooman H, Tan BY, Venketasubramanian N, Biessels GJ, Chen C. Cortical cerebral microinfarcts predict cognitive decline in memory clinic patients. J Cereb Blood Flow Metab 2020; 40:44-53. [PMID: 30890075 PMCID: PMC6928564 DOI: 10.1177/0271678x19835565] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cortical cerebral microinfarcts (CMIs) - a novel MRI marker of cerebral vascular pathology have been linked with dementia and impaired cognition in cross-sectional studies. However, it is unknown if cortical CMIs are an indicator of further cognitive decline. We sought to examine whether baseline cortical CMIs predict cognitive decline in a prospective memory-clinic setting. A total of 313 patients with baseline 3T MRI scans and at least two neuropsychological assessments obtained a minimum of one year apart were recruited. Cortical CMIs were graded on baseline MRI according to a validated protocol. The Montreal Cognitive Assessment (MoCA) and a detailed neuropsychological battery were used to assess cognition. Patients with increased cortical CMIs showed greater decline in MoCA and global cognition per year. Patients with > 2 cortical CMIs decline on average by 2 scores on MoCA and 0.5 on global cognition at year two which corresponds to 109.8% and 184.5% greater decline when compared to those without CMIs. Furthermore, cortical CMIs at baseline were associated with accelerated decline in memory and language domains. Similar associations were observed when analysis was restricted to demented patients. Cortical CMIs together with other cerebrovascular disease markers can be used to design clinical trials in vascular cognitive impairment.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore.,Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Susanne J van Veluw
- Department of Neurology, Massachusetts General Hospital / Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Xin Xu
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | | | - Geert J Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore.,Department of Psychological Medicine, National University Hospital, Singapore
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144
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Smith EE, Biessels GJ, De Guio F, de Leeuw FE, Duchesne S, Düring M, Frayne R, Ikram MA, Jouvent E, MacIntosh BJ, Thrippleton MJ, Vernooij MW, Adams H, Backes WH, Ballerini L, Black SE, Chen C, Corriveau R, DeCarli C, Greenberg SM, Gurol ME, Ingrisch M, Job D, Lam BY, Launer LJ, Linn J, McCreary CR, Mok VC, Pantoni L, Pike GB, Ramirez J, Reijmer YD, Romero JR, Ropele S, Rost NS, Sachdev PS, Scott CJ, Seshadri S, Sharma M, Sourbron S, Steketee RM, Swartz RH, van Oostenbrugge R, van Osch M, van Rooden S, Viswanathan A, Werring D, Dichgans M, Wardlaw JM. Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:191-204. [PMID: 30859119 PMCID: PMC6396326 DOI: 10.1016/j.dadm.2019.01.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Many consequences of cerebrovascular disease are identifiable by magnetic resonance imaging (MRI), but variation in methods limits multicenter studies and pooling of data. The European Union Joint Program on Neurodegenerative Diseases (EU JPND) funded the HARmoNizing Brain Imaging MEthodS for VaScular Contributions to Neurodegeneration (HARNESS) initiative, with a focus on cerebral small vessel disease. METHODS Surveys, teleconferences, and an in-person workshop were used to identify gaps in knowledge and to develop tools for harmonizing imaging and analysis. RESULTS A framework for neuroimaging biomarker development was developed based on validating repeatability and reproducibility, biological principles, and feasibility of implementation. The status of current MRI biomarkers was reviewed. A website was created at www.harness-neuroimaging.org with acquisition protocols, a software database, rating scales and case report forms, and a deidentified MRI repository. CONCLUSIONS The HARNESS initiative provides resources to reduce variability in measurement in MRI studies of cerebral small vessel disease.
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Affiliation(s)
- Eric E. Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - François De Guio
- Department of Neurology, Lariboisière Hospital, University Paris Diderot, Paris, France
| | - Frank Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Simon Duchesne
- CERVO Research Center, Quebec Mental Health Institute, Québec, Canada
- Radiology Department, Université Laval, Québec, Canada
| | - Marco Düring
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Richard Frayne
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
- Seaman Family MR Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Eric Jouvent
- Department of Neurology, Lariboisière Hospital, University Paris Diderot, Paris, France
| | - Bradley J. MacIntosh
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Walter H. Backes
- Department of Radiology & Nuclear Medicine, School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Sandra E. Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Chen
- Memory Aging and Cognition Centre, Department of Pharmacology, National University of Singapore, Singapore
| | - Rod Corriveau
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M. Edip Gurol
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Ingrisch
- Department of Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Dominic Job
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Bonnie Y.K. Lam
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Lenore J. Launer
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer Linn
- Institute of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Cheryl R. McCreary
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Seaman Family MR Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Vincent C.T. Mok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Leonardo Pantoni
- Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - G. Bruce Pike
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Joel Ramirez
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Yael D. Reijmer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jose Rafael Romero
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Natalia S. Rost
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Christopher J.M. Scott
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Mukul Sharma
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Medicine (Neurology) McMaster University, Hamilton, Ontario, Canada
| | - Steven Sourbron
- Imaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Rebecca M.E. Steketee
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Richard H. Swartz
- Department of Medicine (Neurology), University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Robert van Oostenbrugge
- Department of Neurology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Matthias van Osch
- C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - David Werring
- University College London Queen Square institute of Neurology, London, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
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Düzel E, Acosta-Cabronero J, Berron D, Biessels GJ, Björkman-Burtscher I, Bottlaender M, Bowtell R, Buchem MV, Cardenas-Blanco A, Boumezbeur F, Chan D, Clare S, Costagli M, de Rochefort L, Fillmer A, Gowland P, Hansson O, Hendrikse J, Kraff O, Ladd ME, Ronen I, Petersen E, Rowe JB, Siebner H, Stoecker T, Straub S, Tosetti M, Uludag K, Vignaud A, Zwanenburg J, Speck O. European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND). ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:538-549. [PMID: 31388558 PMCID: PMC6675944 DOI: 10.1016/j.dadm.2019.04.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The goal of European Ultrahigh-Field Imaging Network in Neurodegenerative Diseases (EUFIND) is to identify opportunities and challenges of 7 Tesla (7T) MRI for clinical and research applications in neurodegeneration. EUFIND comprises 22 European and one US site, including over 50 MRI and dementia experts as well as neuroscientists. METHODS EUFIND combined consensus workshops and data sharing for multisite analysis, focusing on 7 core topics: clinical applications/clinical research, highest resolution anatomy, functional imaging, vascular systems/vascular pathology, iron mapping and neuropathology detection, spectroscopy, and quality assurance. Across these topics, EUFIND considered standard operating procedures, safety, and multivendor harmonization. RESULTS The clinical and research opportunities and challenges of 7T MRI in each subtopic are set out as a roadmap. Specific MRI sequences for each subtopic were implemented in a pilot study presented in this report. Results show that a large multisite 7T imaging network with highly advanced and harmonized imaging sequences is feasible and may enable future multicentre ultrahigh-field MRI studies and clinical trials. DISCUSSION The EUFIND network can be a major driver for advancing clinical neuroimaging research using 7T and for identifying use-cases for clinical applications in neurodegeneration.
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Affiliation(s)
- Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
- Center for Behavioral Brain Science, Magdeburg, Germany
| | - Julio Acosta-Cabronero
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David Berron
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany
- 7Lund University BioImaging Center, Lund University, Lund, Sweden
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Isabella Björkman-Burtscher
- 7Lund University BioImaging Center, Lund University, Lund, Sweden
- Departement of Radiology, Sahlgrenska Akademy, University of Gothenburg, Gothenburg, Sweden
| | | | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Mark v Buchem
- Department of Radiology, University Medical Center Leiden, Leiden, The Netherlands
| | - Arturo Cardenas-Blanco
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany
| | - Fawzi Boumezbeur
- NeuroSpin, CEA & Université Paris-Saclay, Gif-Sur-Yvette, France
| | - Dennis Chan
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Stuart Clare
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Mauro Costagli
- Imago 7 Research Foundation, Pisa, Italy
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Ludovic de Rochefort
- Center for Magnetic Resonance in Biology and Medicine (UMR 7339), CRMBM, CNRS - Aix Marseille Université, Marseille, France
| | - Ariane Fillmer
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Oskar Hansson
- 7Lund University BioImaging Center, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Jeroen Hendrikse
- Department of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Oliver Kraff
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
| | - Mark E. Ladd
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Physics and Astronomy and Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Itamar Ronen
- Department of Radiology, University Medical Center Leiden, Leiden, The Netherlands
| | - Esben Petersen
- Danish Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Hartwig Siebner
- Danish Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Tony Stoecker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Sina Straub
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michela Tosetti
- Imago 7 Research Foundation, Pisa, Italy
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Kamil Uludag
- Center for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, Ontario, Canada
| | | | - Jaco Zwanenburg
- Department of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Oliver Speck
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Science, Magdeburg, Germany
- Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany
- Leibniz-Institute for Neurobiology (LIN), Magdeburg, Germany
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Takasugi J, Miwa K, Watanabe Y, Okazaki S, Todo K, Sasaki T, Sakaguchi M, Mochizuki H. Cortical Cerebral Microinfarcts on 3T Magnetic Resonance Imaging in Patients With Carotid Artery Stenosis. Stroke 2019; 50:639-644. [PMID: 30744544 DOI: 10.1161/strokeaha.118.023781] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Carotid artery stenosis is common in the elderly and contributes to cognitive impairment and dementia. Cortical cerebral microinfarcts (CMIs) play an important role in vascular cognitive impairment and dementia. We aimed to investigate the association between CMIs on 3T magnetic resonance imaging and clinical and radiological features, including plaque morphology, and cognitive function in patients with carotid stenosis. Methods- Eighty-nine patients with >30% carotid stenosis on ultrasound were prospectively enrolled, and underwent brain and carotid artery magnetic resonance imaging. CMIs were rated according to predetermined criteria based on 3D-double inversion recovery and fluid-attenuated inversion recovery images. Results- CMIs were identified in 26 patients (29%; median number 0, range 0-9). Poisson regression models adjusted for age and sex revealed that CMIs were associated with intraplaque hemorrhage (rate ratio, 1.95; 95% CI, 1.26-3.18), lacunar infarcts (rate ratio, 1.54; 95% CI, 1.00-2.44), and cortical infarcts (rate ratio, 3.22; 95% CI, 2.20-5.00). These associations were also observed in asymptomatic patients (n=64). Of 81 patients with unilateral carotid stenosis, the prevalence and number of CMIs were significantly higher in the hemisphere ipsilateral to the carotid stenosis than in the contralateral hemisphere ( P=0.005 and P<0.001, respectively). The presence of CMIs was associated with poor cognitive function. Conclusions- Our results indicate that vulnerable carotid plaque increases the risk of CMIs and subsequent cognitive impairment. Carotid atherosclerosis could be a potential therapeutic target for cognitive impairment.
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Affiliation(s)
- Junji Takasugi
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
| | - Kaori Miwa
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan.,Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan (K.W.)
| | - Yoshiyuki Watanabe
- Department of Diagnostic and Interventional Radiology (Y.W.), Osaka University Graduate School of Medicine, Japan
| | - Shuhei Okazaki
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
| | - Kenichi Todo
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
| | - Tsutomu Sasaki
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
| | - Manabu Sakaguchi
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
| | - Hideki Mochizuki
- From the Department of Neurology (J.T., K.M., S.O., K.T., T.S., M.S., H.M.), Osaka University Graduate School of Medicine, Japan
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147
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Gurol ME, Biessels GJ, Polimeni JR. Advanced Neuroimaging to Unravel Mechanisms of Cerebral Small Vessel Diseases. Stroke 2019; 51:29-37. [PMID: 31752614 DOI: 10.1161/strokeaha.119.024149] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- M Edip Gurol
- From the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (M.E.G.)
| | - Geert J Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands (G.J.B.)
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown (J.R.P.).,Department of Radiology, Harvard Medical School, Boston, MA (J.R.P.).,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA (J.P.R.)
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148
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Rajani RM, Ratelade J, Domenga-Denier V, Hase Y, Kalimo H, Kalaria RN, Joutel A. Blood brain barrier leakage is not a consistent feature of white matter lesions in CADASIL. Acta Neuropathol Commun 2019; 7:187. [PMID: 31753008 PMCID: PMC6873485 DOI: 10.1186/s40478-019-0844-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 11/07/2019] [Indexed: 01/08/2023] Open
Abstract
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a genetic paradigm of small vessel disease (SVD) caused by NOTCH3 mutations that stereotypically lead to the vascular accumulation of NOTCH3 around smooth muscle cells and pericytes. White matter (WM) lesions (WMLs) are the earliest and most frequent abnormalities, and can be associated with lacunar infarcts and enlarged perivascular spaces (ePVS). The prevailing view is that blood brain barrier (BBB) leakage, possibly mediated by pericyte deficiency, plays a pivotal role in the formation of WMLs. Herein, we investigated the involvement of BBB leakage and pericyte loss in CADASIL WMLs. Using post-mortem brain tissue from 12 CADASIL patients and 10 age-matched controls, we found that WMLs are heterogeneous, and that BBB leakage reflects the heterogeneity. Specifically, while fibrinogen extravasation was significantly increased in WMLs surrounding ePVS and lacunes, levels of fibrinogen leakage were comparable in WMLs without other pathology ("pure" WMLs) to those seen in the normal appearing WM of patients and controls. In a mouse model of CADASIL, which develops WMLs but no lacunes or ePVS, we detected no extravasation of endogenous fibrinogen, nor of injected small or large tracers in WMLs. Moreover, there was no evidence of pericyte coverage modification in any type of WML in either CADASIL patients or mice. These data together indicate that WMLs in CADASIL encompass distinct classes of WM changes and argue against the prevailing hypothesis that pericyte coverage loss and BBB leakage are the primary drivers of WMLs. Our results also have important implications for the interpretation of studies on the BBB in living patients, which may misinterpret evidence of BBB leakage within WM hyperintensities as suggesting a BBB related mechanism for all WMLs, when in fact this may only apply to a subset of these lesions.
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149
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Gao L, Wang T, Qian T, Xiao F, Bai L, Zhang J, Xu H. Severe asymptomatic carotid stenosis is associated with robust reductions in homotopic functional connectivity. Neuroimage Clin 2019; 24:102101. [PMID: 31835289 PMCID: PMC6911862 DOI: 10.1016/j.nicl.2019.102101] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 10/05/2019] [Accepted: 11/18/2019] [Indexed: 12/01/2022]
Abstract
Severe (>70% narrowing) asymptomatic carotid stenosis (SACS) is associated with cognitive impairment and future strokes, and connectivity basis for the remote brain consequences is poorly understood. Here we explored homotopic connectivity and parenchymal lesions measured by multimodal magnetic resonance imaging (MRI) parameters in patients with SACS. Twenty-four patients with SACS (19 males/5 females; 64.25 ± 7.18 years), 24 comorbidities-matched controls (19 males/5 females; 67.16 ± 6.10 years), and an independent sample of elderly healthy controls (39 females/45 males; 57.92 ± 4.94 years) were included. Homotopic functional connectivity (FC) of resting-state functional MRI and structural connectivity (SC) of deterministic tractography were assessed. Arterial spin labeling based cerebral perfusion, susceptibility weighted imaging based microhemorrhagic lesions, and T2-weighted white matter hyperintensities were also quantified. Significant and robust homotopic reductions (validated by the independent dataset and support vector machine-based machine learning) were identified in the Perisylvian fissure in patients with SACS (false discovery rate corrected, voxel p < 0.05). These involved regions span across several large-scale brain systems, which include the somatomotor, salience, dorsal attention, and orbitofrontal-limbic networks. This significantly reduced homotopic FC can be partially explained by the corrected white matter hyperintensity size. Further association analyses suggest that the decreased homotopic FC in these brain regions is most closely associated with delayed memory recall, sensorimotor processing, and other simple cognitive functions. Together, these results suggest that SACS predominately affects the lower-order brain systems, while higher-order systems, especially the topographies of default mode network, are least impacted initially, but may serve as a hallmark precursor to vascular dementia. Thus, assessment of homotopic FC may provide a means of noninvasively tracking the progression of downstream brain damage following asymptomatic carotid stenosis.
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Affiliation(s)
- Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Tao Wang
- Department of Neurology, the First College of Clinical Medical Science, China Three Gorges University, Yichang, China; Department of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Tianyi Qian
- MR Collaboration, Siemens Healthcare China, Beijing, China
| | - Feng Xiao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Junjian Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
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Yilmaz P, Ikram MK, Niessen WJ, Ikram MA, Vernooij MW. Practical Small Vessel Disease Score Relates to Stroke, Dementia, and Death. Stroke 2019; 49:2857-2865. [PMID: 30571403 DOI: 10.1161/strokeaha.118.022485] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background and Purpose- In the general population, we investigated the association of a recently developed cerebral small vessel disease (CSVD) sum score with stroke, dementia, and mortality. Methods- One thousand six hundred fifty-one stroke-free and nondemented participants (mean age, 73.3 years; 54.5% women) of the population-based Rotterdam Study underwent brain magnetic resonance imaging (1.5T) in 2005-2011 and were followed for stroke, dementia, and mortality until 2016-2017. The CSVD sum score was composed by counting the presence of 4 magnetic resonance imaging markers (white matter hyperintensities, lacunes, cerebral microbleeds, and perivascular spaces; range, 0-4). We determined the association of the CSVD score with risk of stroke, dementia, and mortality using Cox models, adjusting for age, sex, and other Framingham Stroke Risk Profile predictors. Additionally, we assessed mortality as a competing risk for stroke and dementia and calculated absolute risk estimates for all outcomes. Results- During a mean follow-up of 7.2 years, 66 participants developed stroke, 76 developed dementia, and 306 died. The Framingham Stroke Risk Profile-adjusted hazard ratios of 1 point higher sum score were 1.54 (95% CI, 1.16-2.03) for stroke, 1.25 (95% CI, 0.95-1.64) for dementia, and 1.15 (95% CI, 1.01-1.31) for mortality. No significant differences were seen for subdistribution hazard ratios for stroke and dementia. A higher CSVD score yielded higher absolute risk estimates for all outcomes, calculated during 10 years. Conclusions- The CSVD score is a practical measure of global vascular brain injury. A higher sum score on magnetic resonance imaging is associated with higher risk of suffering a stroke, developing dementia, and death.
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Affiliation(s)
- Pinar Yilmaz
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Neurology (M.K.I.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Medical Informatics (W.J.N.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
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