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Lin Y, Gao B, Du Y, Li M, Liu Y, Zhao X. Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis. Neurobiol Dis 2025; 210:106911. [PMID: 40239845 DOI: 10.1016/j.nbd.2025.106911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2025] [Revised: 04/13/2025] [Accepted: 04/13/2025] [Indexed: 04/18/2025] Open
Abstract
AIMS This study investigates large-scale brain network alterations in cerebral amyloid angiopathy (CAA) using structural covariance network (SCN) analysis and graph theory based on 7 T MRI. METHODS We employed structural covariance network (SCN) analysis based on cortical thickness data from ultra-high field 7 T MRI to investigate network alterations in CAA patients. Graph theoretical analysis was applied to quantify topological properties, including small-worldness, nodal centrality, and network efficiency. Between-group differences were assessed using permutation tests and false discovery rate (FDR) correction. RESULTS CAA patients exhibited significant alterations in small-world properties, with decreased Gamma (p = 0.002) and Sigma (p < 0.001), suggesting a shift toward a less optimal network configuration. Local efficiency was significantly different between groups (p = 0.045), while global efficiency remained unchanged (p = 0.127), indicating regionally disrupted rather than globally impaired network efficiency. At the nodal level, the right superior frontal gyrus exhibited increased betweenness centrality (p = 0.013), whereas the right banks of the superior temporal sulcus, left postcentral gyrus, and left superior temporal gyrus showed significantly reduced centrality (all p < 0.05). Additionally, nodal degree and efficiency were altered in key memory-related and association regions, including the entorhinal cortex, fusiform gyrus, and temporal pole. CONCLUSION SCN analysis combined with graph theory offers a valuable approach for understanding disease-related connectivity disruptions and may contribute to the development of network-based biomarkers for CAA.
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Affiliation(s)
- Yijun Lin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bin Gao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Du
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mengyao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanfang Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
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2
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Weidauer S, Hattingen E. Cerebral Amyloid Angiopathy: Clinical Presentation, Sequelae and Neuroimaging Features-An Update. Biomedicines 2025; 13:603. [PMID: 40149580 PMCID: PMC11939913 DOI: 10.3390/biomedicines13030603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Revised: 02/16/2025] [Accepted: 02/26/2025] [Indexed: 03/29/2025] Open
Abstract
The prevalence of cerebral amyloid angiopathy (CAA) has been shown to increase with age, with rates reported to be around 50-60% in individuals over 80 years old who have cognitive impairment. The disease often presents as spontaneous lobar intracerebral hemorrhage (ICH), which carries a high risk of recurrence, along with transient focal neurologic episodes (TFNE) and progressive cognitive decline, potentially leading to Alzheimer's disease (AD). In addition to ICH, neuroradiologic findings of CAA include cortical and subcortical microbleeds (MB), cortical subarachnoid hemorrhage (cSAH) and cortical superficial siderosis (cSS). Non-hemorrhagic pathologies include dilated perivascular spaces in the centrum semiovale and multiple hyperintense lesions on T2-weighted magnetic resonance imaging (MRI). A definitive diagnosis of CAA still requires histological confirmation. The Boston criteria allow for the diagnosis of a probable or possible CAA by considering specific neurological and MRI findings. The recent version, 2.0, which includes additional non-hemorrhagic MRI findings, increases sensitivity while maintaining the same specificity. The characteristic MRI findings of autoantibody-related CAA-related inflammation (CAA-ri) are similar to the so-called "amyloid related imaging abnormalities" (ARIA) observed with amyloid antibody therapies, presenting in two variants: (a) vasogenic edema and leptomeningeal effusions (ARIA-E) and (b) hemorrhagic lesions (ARIA-H). Clinical and MRI findings enable the diagnosis of a probable or possible CAA-ri, with biopsy remaining the gold standard for confirmation. In contrast to spontaneous CAA-ri, only about 20% of patients treated with monoclonal antibodies who show proven ARIA on MRI also experience clinical symptoms, including headache, confusion, other psychopathological abnormalities, visual disturbances, nausea and vomiting. Recent findings indicate that treatment should be continued in cases of mild ARIA, with ongoing MRI and clinical monitoring. This review offers a concise update on CAA and its associated consequences.
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Affiliation(s)
- Stefan Weidauer
- Institute of Neuroradiology, Goethe University, Schleusenweg 2-16, 60528 Frankfurt am Main, Germany;
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3
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Fotiadis P, Parkes L, Davis KA, Satterthwaite TD, Shinohara RT, Bassett DS. Structure-function coupling in macroscale human brain networks. Nat Rev Neurosci 2024; 25:688-704. [PMID: 39103609 DOI: 10.1038/s41583-024-00846-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2024] [Indexed: 08/07/2024]
Abstract
Precisely how the anatomical structure of the brain gives rise to a repertoire of complex functions remains incompletely understood. A promising manifestation of this mapping from structure to function is the dependency of the functional activity of a brain region on the underlying white matter architecture. Here, we review the literature examining the macroscale coupling between structural and functional connectivity, and we establish how this structure-function coupling (SFC) can provide more information about the underlying workings of the brain than either feature alone. We begin by defining SFC and describing the computational methods used to quantify it. We then review empirical studies that examine the heterogeneous expression of SFC across different brain regions, among individuals, in the context of the cognitive task being performed, and over time, as well as its role in fostering flexible cognition. Last, we investigate how the coupling between structure and function is affected in neurological and psychiatric conditions, and we report how aberrant SFC is associated with disease duration and disease-specific cognitive impairment. By elucidating how the dynamic relationship between the structure and function of the brain is altered in the presence of neurological and psychiatric conditions, we aim to not only further our understanding of their aetiology but also establish SFC as a new and sensitive marker of disease symptomatology and cognitive performance. Overall, this Review collates the current knowledge regarding the regional interdependency between the macroscale structure and function of the human brain in both neurotypical and neuroatypical individuals.
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Affiliation(s)
- Panagiotis Fotiadis
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Anaesthesiology, University of Michigan, Ann Arbor, MI, USA.
| | - Linden Parkes
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Kathryn A Davis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing & Analytics, University of Pennsylvania, Philadelphia, PA, USA
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing & Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dani S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, USA.
- Santa Fe Institute, Santa Fe, NM, USA.
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4
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De Kort AM, Kaushik K, Kuiperij HB, Jäkel L, Li H, Tuladhar AM, Terwindt GM, Wermer MJH, Claassen JAHR, Klijn CJM, Verbeek MM, Kessels RPC, Schreuder FHBM. The relation of a cerebrospinal fluid profile associated with Alzheimer's disease with cognitive function and neuropsychiatric symptoms in sporadic cerebral amyloid angiopathy. Alzheimers Res Ther 2024; 16:99. [PMID: 38704569 PMCID: PMC11069247 DOI: 10.1186/s13195-024-01454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/07/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Patients with sporadic cerebral amyloid angiopathy (sCAA) frequently report cognitive or neuropsychiatric symptoms. The aim of this study is to investigate whether in patients with sCAA, cognitive impairment and neuropsychiatric symptoms are associated with a cerebrospinal fluid (CSF) biomarker profile associated with Alzheimer's disease (AD). METHODS In this cross-sectional study, we included participants with sCAA and dementia- and stroke-free, age- and sex-matched controls, who underwent a lumbar puncture, brain MRI, cognitive assessments, and self-administered and informant-based-questionnaires on neuropsychiatric symptoms. CSF phosphorylated tau, total tau and Aβ42 levels were used to divide sCAA patients in two groups: CAA with (CAA-AD+) or without a CSF biomarker profile associated with AD (CAA-AD-). Performance on global cognition, specific cognitive domains (episodic memory, working memory, processing speed, verbal fluency, visuoconstruction, and executive functioning), presence and severity of neuropsychiatric symptoms, were compared between groups. RESULTS sCAA-AD+ (n=31; mean age: 72 ± 6; 42%, 61% female) and sCAA-AD- (n=23; 70 ± 5; 42% female) participants did not differ with respect to global cognition or type of affected cognitive domain(s). The number or severity of neuropsychiatric symptoms also did not differ between sCAA-AD+ and sCAA-AD- participants. These results did not change after exclusion of patients without prior ICH. CONCLUSIONS In participants with sCAA, a CSF biomarker profile associated with AD does not impact global cognition or specific cognitive domains, or the presence of neuropsychiatric symptoms.
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Affiliation(s)
- Anna M De Kort
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lieke Jäkel
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hao Li
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - Jurgen A H R Claassen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Catharina J M Klijn
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
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5
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Pelak VS, Krishnan V, Serva S, Pressman P, Mahmood A, Noteboom L, Bettcher BM, Sillau SH, Callen AL, Thaker AA. Lobar Microbleeds in the Posterior Cortical Atrophy Syndrome: A Comparison to Typical Alzheimer's Disease. Curr Neurol Neurosci Rep 2024; 24:27-33. [PMID: 38261145 DOI: 10.1007/s11910-024-01330-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 01/24/2024]
Abstract
PURPOSE OF THE STUDY Posterior cortical atrophy is a clinico-radiographical syndrome that presents with higher-order visual dysfunction and is most commonly due to Alzheimer's disease. Understanding factors associated with atypical presentations of Alzheimer's disease, such as posterior cortical atrophy (PCA), holds promise to shape our understanding of AD pathophysiology. Thus, we aimed to compare MRI evidence of lobar microbleeds (LMBs) in posterior cortical atrophy (PCA) syndrome to typical AD (tAD) and to assess and compare MRI evidence of cerebral amyloid angiopathy (CAA) in each group. FINDINGS We retrospectively collected clinical and MRI data from participants with PCA (n = 26), identified from an institutional PCA registry, and participants with tAD (n = 46) identified from electronic health records from a single institution. LMBs were identified on susceptibility-weighted imaging (SWI); the Fazekas grade of white matter disease was assessed using FLAIR images, and Boston criteria version 2.0 for cerebral amyloid angiopathy were applied to all data. The proportion of participants with PCA and LMB (7.7%) was lower than for tAD (47.8%) (p = 0.005). The frequency of "probable" CAA was similar in both groups, while "possible" CAA was more frequent in tAD (30.4%) than PCA (0%) (p = 0.001). The Fazekas grades were not different between groups. Lobar microbleeds on SWI were not more common in PCA than in typical AD. Clinicopathological investigations are necessary to confirm these findings. The factors that contribute to the posterior cortical atrophy phenotype are unknown.
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Affiliation(s)
- Victoria S Pelak
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA.
| | - Vishal Krishnan
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Stephanie Serva
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Peter Pressman
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Asher Mahmood
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Lily Noteboom
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Brianne M Bettcher
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Stefan H Sillau
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17 Avenue, Mail Stop B185, Aurora, CO, 80045, USA
| | - Andrew L Callen
- Department of Radiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ashesh A Thaker
- Department of Radiology, University of Colorado School of Medicine, Aurora, CO, USA
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6
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Wheeler KV, Irimia A, Braskie MN. Using Neuroimaging to Study Cerebral Amyloid Angiopathy and Its Relationship to Alzheimer's Disease. J Alzheimers Dis 2024; 97:1479-1502. [PMID: 38306032 DOI: 10.3233/jad-230553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Cerebral amyloid angiopathy (CAA) is characterized by amyloid-β aggregation in the media and adventitia of the leptomeningeal and cortical blood vessels. CAA is one of the strongest vascular contributors to Alzheimer's disease (AD). It frequently co-occurs in AD patients, but the relationship between CAA and AD is incompletely understood. CAA may drive AD risk through damage to the neurovascular unit and accelerate parenchymal amyloid and tau deposition. Conversely, early AD may also drive CAA through cerebrovascular remodeling that impairs blood vessels from clearing amyloid-β. Sole reliance on autopsy examination to study CAA limits researchers' ability to investigate CAA's natural disease course and the effect of CAA on cognitive decline. Neuroimaging allows for in vivo assessment of brain function and structure and can be leveraged to investigate CAA staging and explore its associations with AD. In this review, we will discuss neuroimaging modalities that can be used to investigate markers associated with CAA that may impact AD vulnerability including hemorrhages and microbleeds, blood-brain barrier permeability disruption, reduced cerebral blood flow, amyloid and tau accumulation, white matter tract disruption, reduced cerebrovascular reactivity, and lowered brain glucose metabolism. We present possible areas for research inquiry to advance biomarker discovery and improve diagnostics.
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Affiliation(s)
- Koral V Wheeler
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina Del Rey, CA, USA
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, USC Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Corwin D. Denney Research Center, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Meredith N Braskie
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina Del Rey, CA, USA
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van Harten TW, van Rooden S, Koemans EA, van Opstal AM, Greenberg SM, van der Grond J, Wermer MJH, van Osch MJP. Impact of region of interest definition on visual stimulation-based cerebral vascular reactivity functional MRI with a special focus on applications in cerebral amyloid angiopathy. NMR IN BIOMEDICINE 2023; 36:e4916. [PMID: 36908068 DOI: 10.1002/nbm.4916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/20/2023] [Accepted: 03/07/2023] [Indexed: 06/15/2023]
Abstract
Cerebral vascular reactivity quantified using blood oxygen level-dependent functional MRI in conjuncture with a visual stimulus has been proven to be a potent and early marker for cerebral amyloid angiopathy. This work investigates the influence of different postprocessing methods on the outcome of such vascular reactivity measurements. Three methods for defining the region of interest (ROI) over which the reactivity is measured are investigated: structural (transformed V1), functional (template based on the activation of a subset of subjects), and percentile (11.5 cm3 most responding voxels). Evaluation is performed both in a test-retest experiment in healthy volunteers (N = 12), as well as in 27 Dutch-type cerebral amyloid angiopathy patients and 33 age- and sex-matched control subjects. The results show that the three methods select a different subset of voxels, although all three lead to similar outcome measures in healthy subjects. However, in (severe) pathology, the percentile method leads to higher reactivity measures than the other two, due to circular analysis or "double dipping" by defining a subject-specific ROI based on the strongest responses within each subject. Furthermore, while different voxels are included in the presence of lesions, this does not necessarily result in different outcome measures. In conclusion, to avoid bias created by the method, either a structural or a functional method is recommended. Both of these methods provide similar reactivity measures, although the functional ROI appears to be less reproducible between studies, because slightly different subsets of voxels were found to be included. On the other hand, the functional method did include fewer lesion voxels than the structural method.
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Affiliation(s)
- Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anna M van Opstal
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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da Silva PHR, Paschoal AM, Secchinatto KF, Zotin MCZ, Dos Santos AC, Viswanathan A, Pontes-Neto OM, Leoni RF. Contrast agent-free state-of-the-art magnetic resonance imaging on cerebral small vessel disease - Part 2: Diffusion tensor imaging and functional magnetic resonance imaging. NMR IN BIOMEDICINE 2022; 35:e4743. [PMID: 35429070 DOI: 10.1002/nbm.4743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Cerebral small vessel disease (cSVD) has been widely studied using conventional magnetic resonance imaging (MRI) methods, although the association between MRI findings and clinical features of cSVD is not always concordant. We assessed the additional contribution of contrast agent-free, state-of-the-art MRI techniques, particularly diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), to understand brain damage and structural and functional connectivity impairment related to cSVD. We performed a review following the PICOS worksheet and Search Strategy, including 152 original papers in English, published from 2000 to 2022. For each MRI method, we extracted information about their contributions regarding the origins, pathology, markers, and clinical outcomes in cSVD. In general, DTI studies have shown that changes in mean, radial, and axial diffusivity measures are related to the presence of cSVD. In addition to the classical deficit in executive functions and processing speed, fMRI studies indicate connectivity dysfunctions in other domains, such as sensorimotor, memory, and attention. Neuroimaging metrics have been correlated with the diagnosis, prognosis, and rehabilitation of patients with cSVD. In short, the application of contrast agent-free, state-of-the-art MRI techniques has provided a complete picture of cSVD markers and tools to explore questions that have not yet been clarified about this clinical condition. Longitudinal studies are desirable to look for causal relationships between image biomarkers and clinical outcomes.
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Affiliation(s)
| | - André Monteiro Paschoal
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Maria Clara Zanon Zotin
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Antônio Carlos Dos Santos
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Anand Viswanathan
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Octavio M Pontes-Neto
- Department of Neurosciences and Behavioral Science, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Renata Ferranti Leoni
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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9
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Shaikh I, Beaulieu C, Gee M, McCreary CR, Beaudin AE, Valdés-Cabrera D, Smith EE, Camicioli R. Diffusion tensor tractography of the fornix in cerebral amyloid angiopathy, mild cognitive impairment and Alzheimer's disease. Neuroimage Clin 2022; 34:103002. [PMID: 35413649 PMCID: PMC9010796 DOI: 10.1016/j.nicl.2022.103002] [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: 08/31/2021] [Revised: 03/26/2022] [Accepted: 04/02/2022] [Indexed: 11/16/2022]
Abstract
The fornix was delineated with deterministic tractography from diffusion tensor images (DTI). Fornix diffusion changes were found in the fornix in CAA, AD and MCI compared to controls. Higher fornix diffusivity correlated with smaller hippocampal volume and larger ventricles. Fornix diffusion measures correlated with cognitive measures in the combined disease groups.
Purpose Cerebral amyloid angiopathy (CAA) is a common neuropathological finding and clinical entity that occurs independently and with co-existent Alzheimer’s disease (AD) and small vessel disease. We compared diffusion tensor imaging (DTI) metrics of the fornix, the primary efferent tract of the hippocampus between CAA, AD and Mild Cognitive Impairment (MCI) and healthy controls. Methods Sixty-eight healthy controls, 32 CAA, 21 AD, and 26 MCI patients were recruited at two centers. Diffusion tensor images were acquired at 3 T with high spatial resolution and fluid-attenuated inversion recovery (FLAIR) to suppress cerebrospinal fluid (CSF) and minimize partial volume effects on the fornix. The fornix was delineated with deterministic tractography to yield mean diffusivity (MD), axial diffusivity (AXD), radial diffusivity (RD), fractional anisotropy (FA) and tract volume. Volumetric measurements of the hippocampus, thalamus, and lateral ventricles were obtained using T1-weighted MRI. Results Diffusivity (MD, AXD, and RD) of the fornix was highest in AD followed by CAA compared to controls; the MCI group was not significantly different from controls. FA was similar between groups. Fornix tract volume was ∼ 30% lower for all three patient groups compared to controls, but not significantly different between the patient groups. Thalamic and hippocampal volumes were preserved in CAA, but lower in AD and MCI compared to controls. Lateral ventricular volumes were increased in CAA, AD and MCI. Global cognition, memory, and executive function all correlated negatively with fornix diffusivity across the combined clinical group. Conclusion There were significant diffusion changes of the fornix in CAA, AD and MCI compared to controls, despite relatively intact thalamic and hippocampal volumes in CAA, suggesting the mechanisms for fornix diffusion abnormalities may differ in CAA compared to AD and MCI.
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Affiliation(s)
- Ibrahim Shaikh
- Department of Medicine, Division of Neurology and Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada; Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Myrlene Gee
- Department of Medicine, Division of Neurology and Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada
| | - Cheryl R McCreary
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, AB, Canada
| | - Andrew E Beaudin
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Diana Valdés-Cabrera
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Eric E Smith
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, AB, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology and Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada.
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Schrader JM, Xu F, Lee H, Barlock B, Benveniste H, Van Nostrand WE. Emergent White Matter Degeneration in the rTg-DI Rat Model of Cerebral Amyloid Angiopathy Exhibits Unique Proteomic Changes. THE AMERICAN JOURNAL OF PATHOLOGY 2022; 192:426-440. [PMID: 34896071 PMCID: PMC8895424 DOI: 10.1016/j.ajpath.2021.11.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/16/2021] [Accepted: 11/23/2021] [Indexed: 12/23/2022]
Abstract
Cerebral amyloid angiopathy (CAA), characterized by cerebral vascular amyloid accumulation, neuroinflammation, microbleeds, and white matter (WM) degeneration, is a common comorbidity in Alzheimer disease and a prominent contributor to vascular cognitive impairment and dementia. WM loss was recently reported in the corpus callosum (CC) in the rTg-DI rat model of CAA. The current study shows that the CC exhibits a much lower CAA burden compared with the adjacent cortex. Sequential Window Acquisition of All Theoretical Mass Spectra tandem mass spectrometry was used to show specific proteomic changes in the CC with emerging WM loss and compare them with the proteome of adjacent cortical tissue in rTg-DI rats. In the CC, annexin A3, heat shock protein β1, and cystatin C were elevated at 4 months (M) before WM loss and at 12M with evident WM loss. Although annexin A3 and cystatin C were also enhanced in the cortex at 12M, annexin A5 and the leukodystrophy-associated astrocyte proteins megalencephalic leukoencephalopathy with subcortical cysts 1 and GlialCAM were distinctly elevated in the CC. Pathway analysis indicated neurodegeneration of axons, reflected by reduced expression of myelin and neurofilament proteins, was common to the CC and cortex; activation of Tgf-β1 and F2/thrombin was restricted to the CC. This study provides new insights into the proteomic changes that accompany WM loss in the CC of rTg-DI rats.
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Affiliation(s)
- Joseph M Schrader
- George & Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, Rhode Island; Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island
| | - Feng Xu
- George & Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, Rhode Island; Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island
| | - Hedok Lee
- Department of Anesthesiology, Yale University, New Haven, Connecticut
| | - Benjamin Barlock
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island
| | - Helene Benveniste
- Department of Anesthesiology, Yale University, New Haven, Connecticut
| | - William E Van Nostrand
- George & Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, Rhode Island; Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island.
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11
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Schulz M, Mayer C, Schlemm E, Frey BM, Malherbe C, Petersen M, Gallinat J, Kühn S, Fiehler J, Hanning U, Twerenbold R, Gerloff C, Cheng B, Thomalla G. Association of Age and Structural Brain Changes With Functional Connectivity and Executive Function in a Middle-Aged to Older Population-Based Cohort. Front Aging Neurosci 2022; 14:782738. [PMID: 35283749 PMCID: PMC8916110 DOI: 10.3389/fnagi.2022.782738] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 01/06/2022] [Indexed: 01/02/2023] Open
Abstract
Aging is accompanied by structural brain changes that are thought to underlie cognitive decline and dementia. Yet little is known regarding the association between increasing age, structural brain damage, and alterations of functional brain connectivity. The aim of this study was to evaluate whether cortical thickness and white matter damage as markers of age-related structural brain changes are associated with alterations in functional connectivity in non-demented healthy middle-aged to older adults. Therefore, we reconstructed functional connectomes from resting-state functional magnetic resonance imaging (MRI) (rsfMRI) data of 976 subjects from the Hamburg City Health Study, a prospective population-based study including participants aged 45-74 years from the metropolitan region Hamburg, Germany. We performed multiple linear regressions to examine the association of age, cortical thickness, and white matter damage quantified by the peak width of skeletonized mean diffusivity (PSMD) from diffusion tensor imaging on whole-brain network connectivity and four predefined resting state networks (default mode, dorsal, salience, and control network). In a second step, we extracted subnetworks with age-related decreased functional connectivity from these networks and conducted a mediation analysis to test whether the effect of age on these networks is mediated by decreased cortical thickness or PSMD. We observed an independent association of higher age with decreased functional connectivity, while there was no significant association of functional connectivity with cortical thickness or PSMD. Mediation analysis identified cortical thickness as a partial mediator between age and default subnetwork connectivity and functional connectivity within the default subnetwork as a partial mediator between age and executive cognitive function. These results indicate that, on a global scale, functional connectivity is not determined by structural damage in healthy middle-aged to older adults. There is a weak association of higher age with decreased functional connectivity which, for specific subnetworks, appears to be mediated by cortical thickness.
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Affiliation(s)
- Maximilian Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Benedikt M. Frey
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Neuroradiological Diagnostics and Intervention, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Neuroradiological Diagnostics and Intervention, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Raphael Twerenbold
- Department of Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- University Center of Cardiovascular Science, Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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12
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Gyanwali B, Shaik MA, Tan CS, Vrooman H, Venketasubramanian N, Chen C, Hilal S. Mixed-location cerebral microbleeds as a biomarker of neurodegeneration in a memory clinic population. Aging (Albany NY) 2019; 11:10581-10596. [PMID: 31767809 PMCID: PMC6914397 DOI: 10.18632/aging.102478] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 11/08/2019] [Indexed: 11/25/2022]
Abstract
Cerebral microbleeds (CMBs) in the lobar and deep locations are associated with two distinct pathologies: cerebral amyloid angiopathy and hypertensive arteriopathy. However, the role of mixed-location CMBs in neurodegeneration remains unexplored. We investigated the associations between strictly lobar, strictly deep and mixed-location CMBs with markers of neurodegeneration. This study recruited 477 patients from a memory clinic who underwent 3T MRI scans. CMBs were categorized into strictly lobar, strictly deep and mixed-location. Cortical thickness, white matter volume and subcortical structural volumes were quantified using Free-Surfer. Linear regression models were performed to assess the association between CMBs and cerebral atrophy, and the mean difference (β) and 95% confidence intervals (CIs) were reported. In the regression analyses, mixed-location CMBs were associated with smaller cortical thickness of limbic region [β= -0.01; 95% CI= -0.02, -0.00, p=0.007) as well as with smaller accumbens volume [β= -0.01; 95% CI= -0.02, -0.00, p=0.004) and presubiculum region of hippocampus [β= -0.01; 95% CI= -0.02, -0.00, p=0.002). Strictly lobar CMBs were associated with smaller total white matter volume [β= -0.03; 95% CI= -0.04, -0.01, p<0.001] and with region specific white matter volumes. The underlying mechanism requires further research and may involve shared mechanisms of vascular dysfunction and neurodegeneration.
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Affiliation(s)
- Bibek Gyanwali
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Muhammad Amin Shaik
- Ageing Research Institute for Society and Education, Nanyang Technological University, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Saima Hilal
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
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13
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Schreiber S, Wilisch-Neumann A, Schreiber F, Assmann A, Scheumann V, Perosa V, Jandke S, Mawrin C, Carare RO, Werring DJ. Invited Review: The spectrum of age-related small vessel diseases: potential overlap and interactions of amyloid and nonamyloid vasculopathies. Neuropathol Appl Neurobiol 2019; 46:219-239. [PMID: 31386773 DOI: 10.1111/nan.12576] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 07/10/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022]
Abstract
Deep perforator arteriopathy (DPA) and cerebral amyloid angiopathy (CAA) are the commonest known cerebral small vessel diseases (CSVD), which cause ischaemic stroke, intracebral haemorrhage (ICH) and vascular cognitive impairment (VCI). While thus far mainly considered as separate entities, we here propose that DPA and CAA share similarities, overlap and interact, so that 'pure' DPA or CAA are extremes along a continuum of age-related small vessel pathologies. We suggest blood-brain barrier (BBB) breakdown, endothelial damage and impaired perivascular β-amyloid (Aβ) drainage are hallmark common mechanisms connecting DPA and CAA. We also suggest a need for new biomarkers (e.g. high-resolution imaging) to deepen understanding of the complex relationships between DPA and CAA.
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Affiliation(s)
- S Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany.,Center for behavioral brain sciences (CBBS), Magdeburg, Germany
| | - A Wilisch-Neumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - F Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - A Assmann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - V Scheumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - V Perosa
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - S Jandke
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - C Mawrin
- Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany
| | - R O Carare
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - D J Werring
- Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, The National Hospital for Neurology and Neurosurgery, London, UK
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14
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van Veluw SJ, Reijmer YD, van der Kouwe AJ, Charidimou A, Riley GA, Leemans A, Bacskai BJ, Frosch MP, Viswanathan A, Greenberg SM. Histopathology of diffusion imaging abnormalities in cerebral amyloid angiopathy. Neurology 2019; 92:e933-e943. [PMID: 30700595 PMCID: PMC6404469 DOI: 10.1212/wnl.0000000000007005] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 10/23/2018] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE We sought to determine the underlying mechanism for altered white matter diffusion tensor imaging (DTI) measures at the histopathologic level in patients with cerebral amyloid angiopathy (CAA). METHODS Formalin-fixed intact hemispheres from 9 CAA cases and 2 elderly controls were scanned at 3-tesla MRI, including a diffusion-weighted sequence. DTI measures (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) and histopathology measures were obtained from 2 tracts: the anterior thalamic radiation and inferior longitudinal fasciculus. RESULTS FA was reduced in both tracts and MD was increased in cases with CAA compared to controls. Regional FA was significantly correlated with tissue rarefaction, myelin density, axonal density, and white matter microinfarcts. MD correlated significantly with tissue rarefaction, myelin density, and white matter microinfarcts, but not axonal density. FA and MD did not correlate with oligodendrocytes, astrocytes, or gliosis. Multivariate analysis revealed that tissue rarefaction (β = -0.32 ± 0.12, p = 0.009) and axonal density (β = 0.25 ± 0.12, p = 0.04) were both independently associated with FA, whereas myelin density was independently associated with MD (β = -0.32 ± 0.12, p = 0.013). Finally, we found an association between increased MD in the frontal white matter and CAA severity in the frontal cortex (p = 0.035). CONCLUSIONS These results suggest that overall tissue loss, and in particular axonal and myelin loss, are major components underlying CAA-related alterations in DTI properties observed in living patients. The findings allow for a more mechanistic interpretation of DTI parameters in small vessel disease and for mechanism-based selection of candidate treatments to prevent vascular cognitive impairment.
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Affiliation(s)
- Susanne J van Veluw
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown.
| | - Yael D Reijmer
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Andre J van der Kouwe
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Andreas Charidimou
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Grace A Riley
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Alexander Leemans
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Brian J Bacskai
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Matthew P Frosch
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Anand Viswanathan
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Steven M Greenberg
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
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15
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Schouten TM, de Vos F, van Rooden S, Bouts MJRJ, van Opstal AM, Feis RA, Terwindt GM, Wermer MJH, van Buchem MA, Greenberg SM, de Rooij M, Rombouts SARB, van der Grond J. Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers. J Am Heart Assoc 2019; 8:e011288. [PMID: 30717612 PMCID: PMC6405585 DOI: 10.1161/jaha.118.011288] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 12/13/2018] [Indexed: 01/04/2023]
Abstract
Background Cerebral amyloid angiopathy ( CAA ) is a major cause of lobar intracerebral hemorrhage in elderly adults; however, presymptomatic diagnosis of CAA is difficult. Hereditary cerebral hemorrhage with amyloidosis-Dutch type ( HCHWA -D) is a rare autosomal-dominant disease that leads to pathology similar to sporadic CAA . Presymptomatic HCHWA -D mutation carriers provide a unique opportunity to study CAA -related changes before any symptoms have occurred. In this study we investigated early CAA -related alterations in the white matter. Methods and Results We investigated diffusion magnetic resonance imaging ( dMRI ) data for 15 symptomatic and 11 presymptomatic HCHWA -D mutation carriers and 30 noncarrier control participants using 4 different approaches. We looked at (1) the relation between age and global dMRI measures for mutation carriers versus controls, (2) voxel-wise d MRI , (3) independent component-clustered dMRI measures, and (4) structural connectomics between presymptomatic or symptomatic carriers and controls. Fractional anisotropy decreased, and mean diffusivity and peak width of the skeletonized mean diffusivity increased significantly over age for mutation carriers compared with controls. In addition, voxel-wise and independent component-wise fractional anisotropy, and mean diffusivity, and structural connectomics were significantly different between HCHWA -D patients and control participants, mainly in the periventricular frontal and occipital regions and in the occipital lobe. We found no significant differences between presymptomatic carriers and control participants. Conclusions The d MRI technique is sensitive in detecting alterations in symptomatic HCHWA -d carriers but did not show alterations in presymptomatic carriers. This result indicates that d MRI may be less suitable for identifying early white matter changes in CAA .
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Affiliation(s)
- Tijn M. Schouten
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
| | - Frank de Vos
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
| | - Sanneke van Rooden
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Mark J. R. J. Bouts
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
| | - Anna M. van Opstal
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
| | - Rogier A. Feis
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Gisela M. Terwindt
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
| | | | - Mark A. van Buchem
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
| | | | - Mark de Rooij
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
| | - Serge A. R. B. Rombouts
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
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16
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Freeze WM, Bacskai BJ, Frosch MP, Jacobs HIL, Backes WH, Greenberg SM, van Veluw SJ. Blood-Brain Barrier Leakage and Microvascular Lesions in Cerebral Amyloid Angiopathy. Stroke 2019; 50:328-335. [PMID: 30661497 PMCID: PMC6415745 DOI: 10.1161/strokeaha.118.023788] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Cerebral amyloid angiopathy (CAA) is a common small vessel disease that independently effects cognition in older individuals. The pathophysiology of CAA and CAA-related bleeding remains poorly understood. In this postmortem study, we explored whether blood-brain barrier leakage is associated with CAA and microvascular lesions. Methods- Eleven CAA cases (median [IQR] age=69 years [65-79 years], 8 males) and 7 cases without neurological disease or brain lesions (median [IQR] age=77 years [68-92 years], 4 males) were analyzed. Cortical sections were sampled from each lobe, and IgG and fibrin extravasation (markers of blood-brain barrier leakage) were assessed with immunohistochemistry. We hypothesized that IgG and fibrin extravasation would be increased in CAA cases compared with controls, that this would be more pronounced in parietooccipital brain regions compared with frontotemporal brain regions in parallel with the posterior predilection of CAA, and would be associated with CAA severity and number of cerebral microbleeds and cerebral microinfarcts counted on ex vivo magnetic resonance imaging of the intact brain hemisphere. Results- Our results demonstrated increased IgG positivity in the frontotemporal ( P=0.044) and parietooccipital ( P=0.001) cortex in CAA cases compared with controls. Within CAA cases, both fibrin and IgG positivity were increased in parietooccipital brain regions compared with frontotemporal brain regions ( P=0.005 and P=0.006, respectively). The percentage of positive vessels for fibrin and IgG was associated with the percentage of amyloid-β-positive vessels (Spearman ρ=0.71, P=0.015 and Spearman ρ=0.73, P=0.011, respectively). Moreover, the percentage of fibrin and IgG-positive vessels, but not amyloid-β-positive vessels, was associated with the number of cerebral microbleeds on magnetic resonance imaging (Spearman ρ=0.77, P=0.005 and Spearman ρ=0.70, P=0.017, respectively). Finally, we observed fibrin deposition in walls of vessels involved in cerebral microbleeds. Conclusions- Our results raise the possibility that blood-brain barrier leakage may be a contributory mechanism for CAA-related brain injury.
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Affiliation(s)
- Whitney M Freeze
- From the Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, the Netherlands (W.M.F., H.I.L.J.)
- Department of Radiology and Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, the Netherlands (W.M.F., W.H.B.)
- MassGeneral Institute for Neurodegenerative Disease (MIND), Massachusetts General Hospital, Charlestown (W.M.F., B.J.B., M.P.F., S.J.v.V.)
- Department of Neurology, J. Philip Kistler Stroke Research Center (W.M.F., S.M.G., S.J.v.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Brian J Bacskai
- MassGeneral Institute for Neurodegenerative Disease (MIND), Massachusetts General Hospital, Charlestown (W.M.F., B.J.B., M.P.F., S.J.v.V.)
| | - Matthew P Frosch
- MassGeneral Institute for Neurodegenerative Disease (MIND), Massachusetts General Hospital, Charlestown (W.M.F., B.J.B., M.P.F., S.J.v.V.)
- C.S. Kubik Laboratory of Neuropathology, Department of Pathology, Massachusetts General Hospital, Boston (M.P.F.)
| | - Heidi I L Jacobs
- From the Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, the Netherlands (W.M.F., H.I.L.J.)
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (H.I.L.J.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, the Netherlands (W.M.F., W.H.B.)
| | - Steven M Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center (W.M.F., S.M.G., S.J.v.V.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease (MIND), Massachusetts General Hospital, Charlestown (W.M.F., B.J.B., M.P.F., S.J.v.V.)
- Department of Neurology, J. Philip Kistler Stroke Research Center (W.M.F., S.M.G., S.J.v.V.), Massachusetts General Hospital, Harvard Medical School, Boston
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17
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Chen JJ. Functional MRI of brain physiology in aging and neurodegenerative diseases. Neuroimage 2018; 187:209-225. [PMID: 29793062 DOI: 10.1016/j.neuroimage.2018.05.050] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 05/16/2018] [Accepted: 05/20/2018] [Indexed: 12/14/2022] Open
Abstract
Brain aging and associated neurodegeneration constitute a major societal challenge as well as one for the neuroimaging community. A full understanding of the physiological mechanisms underlying neurodegeneration still eludes medical researchers, fuelling the development of in vivo neuroimaging markers. Hence it is increasingly recognized that our understanding of neurodegenerative processes likely will depend upon the available information provided by imaging techniques. At the same time, the imaging techniques are often developed in response to the desire to observe certain physiological processes. In this context, functional MRI (fMRI), which has for decades provided information on neuronal activity, has evolved into a large family of techniques well suited for in vivo observations of brain physiology. Given the rapid technical advances in fMRI in recent years, this review aims to summarize the physiological basis of fMRI observations in healthy aging as well as in age-related neurodegeneration. This review focuses on in-vivo human brain imaging studies in this review and on disease features that can be imaged using fMRI methods. In addition to providing detailed literature summaries, this review also discusses future directions in the study of brain physiology using fMRI in the clinical setting.
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Affiliation(s)
- J Jean Chen
- Rotman Research Institute at Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada.
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18
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Kim J, Na HK, Shin JH, Kim HJ, Seo SW, Seong JK, Na DL. Atrophy patterns in cerebral amyloid angiopathy with and without cortical superficial siderosis. Neurology 2018; 90:e1751-e1758. [PMID: 29678935 DOI: 10.1212/wnl.0000000000005524] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 02/26/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate differential atrophy patterns based on the presence of cortical superficial siderosis (cSS) and the role of cSS in predicting amyloid positivity in memory clinic patients fulfilling the diagnostic criteria for probable cerebral amyloid angiopathy (CAA). METHODS We retrospectively collected data from 44 cognitively impaired patients with probable CAA who underwent 3-dimensional, T1-weighted MRIs (cSS+, n = 27; cSS-, n = 17). Amyloid-positive patients with Alzheimer disease (AD) (n = 56) and amyloid-negative cognitively normal participants (n = 34) were recruited as controls. Among the patients with CAA who underwent amyloid-PET scans (75.0%), we investigated whether amyloid-negative cases were unevenly distributed based on cSS presentation. APOE genotypes, Mini-Mental State Examination scores, and cortical atrophy pattern along with hippocampal volume were compared across groups. RESULTS Ten patients with probable CAA presented amyloid negativity and all of them belonged to the cSS- group (58.8%). Compared to the cSS- group, the cSS+ group presented higher APOE ε4 frequency, worse memory dysfunction, and lower hippocampal volume. Compared with cognitively normal participants, the cSS+ group exhibited atrophy in the precuneus, posterior cingulate, parietotemporal, superior frontal, and medial temporal areas, a pattern similar to AD-specific atrophy. The cSS- group exhibited atrophy in the parietotemporal, superior frontal, and precentral regions. CONCLUSION Our findings imply that the current version of the Boston criteria may not be sufficient enough to remove non-CAA cases from a cognitively impaired population, especially in the absence of cSS. Patients with probable CAA presenting cSS appear to reflect a CAA phenotype that shares pathologic hallmarks with AD, providing insight into the CAA-to-AD continuum.
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Affiliation(s)
- Joonho Kim
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea
| | - Han Kyu Na
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea
| | - Jeong-Hyeon Shin
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea
| | - Hee Jin Kim
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea
| | - Sang Won Seo
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea
| | - Joon-Kyung Seong
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea.
| | - Duk L Na
- From the Department of Neurology, Severance Hospital (H.K.N.), Yonsei University College of Medicine (J.K.), Seoul; Department of Bio-convergence Engineering (J.-H.S., J.-K.S.), and School of Biomedical Engineering (J.-K.S.), Korea University, Seoul; and Department of Neurology, Sungkyunkwan University School of Medicine (H.J.K., S.W.S., D.L.N.), and Neuroscience Center (H.J.K., S.W.S., D.L.N), Samsung Medical Center, Seoul, Republic of Korea.
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19
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Smith EE. Cerebral amyloid angiopathy as a cause of neurodegeneration. J Neurochem 2017; 144:651-658. [PMID: 28833176 DOI: 10.1111/jnc.14157] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 08/11/2017] [Accepted: 08/17/2017] [Indexed: 02/04/2023]
Abstract
Sporadic, age-related cerebral amyloid angiopathy (CAA) is most commonly recognized clinically as a cause of hemorrhagic stroke and transient focal neurological episodes in older persons. But a growing body of research in the last 5 years shows that the pathophysiology of CAA is much more complex than previously believed, leading to many different types of brain injury. CAA has now been linked with brain atrophy in regions remote from those directly affected by intracerebral hematomas, and with risk for progressive cognitive decline in the absence of new hemorrhagic strokes. Therefore, CAA is associated with features - brain atrophy and progressive cognitive decline - that are typically considered hallmarks of neurodegenerative disease. Although CAA is usually accompanied by some degree of Alzheimer's disease pathology, the profiles of cortical thinning and cognitive impairment do not fully overlap with those seen in Alzheimer's disease, suggesting that there are CAA-specific pathways of neurodegeneration. CAA-related brain ischemia may be an important mechanism that leads to brain injury, cortical disconnection, and cognitive impairment. This article is part of the Special Issue "Vascular Dementia".
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Affiliation(s)
- Eric E Smith
- Associate Professor of Neurology, University of Calgary, Health Sciences Centre, Calgary, Alberta, Canada
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20
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Xu M, Zhang Y, von Deneen KM, Zhu H, Gao J. Brain structural alterations in obese children with and without Prader-Willi Syndrome. Hum Brain Mapp 2017; 38:4228-4238. [PMID: 28543989 PMCID: PMC6866858 DOI: 10.1002/hbm.23660] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 05/12/2017] [Accepted: 05/15/2017] [Indexed: 12/17/2022] Open
Abstract
Prader-Willi syndrome (PWS) is a genetic imprinting disorder that is mainly characterized by hyperphagia and childhood obesity. Previous neuroimaging studies revealed that there is a significant difference in brain activation patterns between obese children with and without PWS. However, whether there are differences in the brain structure of obese children with and without PWS remains elusive. In the current study, we used T1-weighted and diffusion tensor magnetic resonance imaging to investigate alterations in the brain structure, such as the cortical volume and white matter integrity, in relation to this eating disorder in 12 children with PWS, 18 obese children without PWS (OB) and 18 healthy controls. Compared with the controls, both the PWS and OB groups exhibited alterations in cortical volume, with similar deficit patterns in 10 co-varying brain regions in the bilateral dorsolateral and medial prefrontal cortices, right anterior cingulate cortex, and bilateral temporal lobe. The white matter integrities of the above regions were then examined with an analysis method based on probabilistic tractography. The PWS group exhibited distinct changes in the reduced fractional anisotropy of white matter fibers connected to the co-varying regions, whereas the OB group did not. Our findings indicated that PWS and OB share similar gray matter alterations that are responsible for the development of eating disorders. Additionally, the distinct white matter alterations might explain the symptoms associated with food intake in PWS, including excessive hyperphagia and constant hunger. Hum Brain Mapp 38:4228-4238, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Mingze Xu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijing100871China
- Department of Biomedical EngineeringPeking UniversityBeijing100871China
| | - Yi Zhang
- Center for Brain Imaging, Xidian UniversityXi'an710071China
- Department of Psychiatry & McKnight Brain InstituteUniversity of FloridaGainesvilleFlorida32610
| | - Karen M. von Deneen
- Center for Brain Imaging, Xidian UniversityXi'an710071China
- Department of Psychiatry & McKnight Brain InstituteUniversity of FloridaGainesvilleFlorida32610
| | - Huaiqiu Zhu
- Department of Biomedical EngineeringPeking UniversityBeijing100871China
| | - Jia‐Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijing100871China
- Beijing City Key Lab for Medical Physics and EngineeringInstitution of Heavy Ion Physics, School of Physics, Peking UniversityBeijing100871China
- McGovern Institute for Brian Research, Peking UniversityBeijing100871China
- Shenzhen Institute of NeuroscienceShenzhen518057China
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