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van Dort R, Kaushik K, Rasing I, van der Zwet RGJ, Schipper MR, van der Grond J, van Rooden S, van Zwet EW, Terwindt GM, Middelkoop HAM, Hart EP, van Osch MJP, van Walderveen MAA, Wermer MJH. Cognition in (pre)symptomatic Dutch-type hereditary and sporadic cerebral amyloid angiopathy. Alzheimers Dement 2024. [PMID: 39387105 DOI: 10.1002/alz.14171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 06/20/2024] [Accepted: 07/14/2024] [Indexed: 10/12/2024]
Abstract
INTRODUCTION Cerebral amyloid angiopathy (CAA) is a main cause of cognitive dysfunction in the elderly. We investigated specific cognitive profiles, cognitive function in the stage before intracerebral hemorrhage (ICH), and the association between magnetic resonance imaging (MRI) based cerebral small vessel disease (cSVD) burden in CAA because data on these topics are limited. METHODS We included Dutch-type hereditary CAA (D-CAA) mutation carriers with and without ICH, patients with sporadic CAA (sCAA), and age-matched controls. Cognition was measured with a standardized test battery. Linear regression was performed to assess the association between MRI-cSVD burden and cognition. RESULTS D-CAA ICH- mutation carriers exhibited poorer global cognition and executive function compared to age-matched controls. Patients with sCAA performed worse across all cognitive domains compared to D-CAA ICH+ mutation carriers and age-matched controls. MRI-cSVD burden is associated with decreased processing speed. DISCUSSION CAA is associated with dysfunction in multiple cognitive domains, even before ICH, with increased MRI-cSVD burden being associated with slower processing speed. HIGHLIGHTS Cognitive dysfunction is present in early disease stages of cerebral amyloid angiopathy (CAA) before the occurrence of symptomatic intracerebral hemorrhage (sICH). Presymptomatic Dutch-type CAA (D-CAA) mutation carriers show worse cognition than age-matched controls. More early awareness of cognitive dysfunction in CAA before first sICH is needed. Increased cerebral small vessel disease CAA-burden on magnetic resonance imaging is linked to a decrease in processing speed.
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Affiliation(s)
- Rosemarie van Dort
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Manon R Schipper
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biostatistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Huub A M Middelkoop
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellen P Hart
- Department of Finance, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
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Schiavolin S, Camarda G, Mazzucchelli A, Mariniello A, Marinoni G, Storti B, Canavero I, Bersano A, Leonardi M. Cognitive and psychological characteristics in patients with Cerebral Amyloid Angiopathy: a literature review. Neurol Sci 2024; 45:3031-3049. [PMID: 38388894 DOI: 10.1007/s10072-024-07399-7] [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: 09/11/2023] [Accepted: 02/08/2024] [Indexed: 02/24/2024]
Abstract
AIM To review the current data on cognitive and psychological characteristics of patients with CAA and on the instruments used for their evaluation. METHODS A systematic search was performed in Embase, Scopus and PubMed with terms related to "cerebral amyloid angiopathy", "neuropsychological measures" and "patient-reported outcome measures" from January 2001 to December 2021. RESULTS Out of 2851 records, 18 articles were selected. The cognitive evaluation was present in all of which, while the psychological one only in five articles. The MMSE (Mini Mental State Examination), TMT (Trail Making Test), fluency test, verbal learning test, digit span, digit symbol and Rey figure tests were the most used cognitive tests, while executive function, memory, processing speed, visuospatial function, attention and language were the most frequent impaired cognitive functions. Depression was the most considered psychological factor usually measured with BDI (Beck Depression Inventory) and GDS (Geriatric Depression Scale). CONCLUSIONS The results of this study might be used in clinical practice as a guide to choose cognitive and psychological instruments and integrate them in the clinical evaluation. The results might also be used in the research field for studies investigating the impact of cognitive and psychological variables on the disease course and for consensus studies aimed at define a standardized evaluation of these aspects.
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Affiliation(s)
- Silvia Schiavolin
- SC Neurologia, Salute Pubblica E Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133, Milan, Italy
| | - Giorgia Camarda
- SC Neurologia, Salute Pubblica E Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133, Milan, Italy.
| | - Alessia Mazzucchelli
- SC Neurologia, Salute Pubblica E Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133, Milan, Italy
| | - Arianna Mariniello
- SC Neurologia, Salute Pubblica E Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133, Milan, Italy
| | - Giulia Marinoni
- SC Malattie Cerebrovascolari, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Benedetta Storti
- SC Malattie Cerebrovascolari, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Isabella Canavero
- SC Malattie Cerebrovascolari, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Anna Bersano
- SC Malattie Cerebrovascolari, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Matilde Leonardi
- SC Neurologia, Salute Pubblica E Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria, 11, 20133, Milan, Italy
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Rasing I, Vlegels N, Schipper MR, Voigt S, Koemans EA, Kaushik K, van Dort R, van Harten TW, De Luca A, van Etten ES, van Zwet EW, van Buchem MA, Middelkoop HA, Biessels GJ, Terwindt GM, van Osch MJ, van Walderveen MA, Wermer MJ. Microstructural white matter damage on MRI is associated with disease severity in Dutch-type cerebral amyloid angiopathy. J Cereb Blood Flow Metab 2024:271678X241261771. [PMID: 38886875 DOI: 10.1177/0271678x241261771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Peak width of skeletonized mean diffusivity (PSMD) is an emerging diffusion-MRI based marker to study subtle early alterations to white matter microstructure. We assessed PSMD over the clinical continuum in Dutch-type hereditary CAA (D-CAA) and its association with other CAA-related MRI-markers and cognitive symptoms. We included (pre)symptomatic D-CAA mutation-carriers and calculated PSMD from diffusion-MRI data. Associations between PSMD-levels, cognitive performance and CAA-related MRI-markers were assessed with linear regression models. We included 59 participants (25/34 presymptomatic/symptomatic; mean age 39/58 y). PSMD-levels increased with disease severity and were higher in symptomatic D-CAA mutation-carriers (median [range] 4.90 [2.77-9.50]mm2/s × 10-4) compared with presymptomatic mutation-carriers (2.62 [1.96-3.43]mm2/s × 10-4) p = <0.001. PSMD was positively correlated with age, CAA-SVD burden on MRI (adj.B [confidence interval] = 0.42 [0.16-0.67], p = 0.002), with number of cerebral microbleeds (adj.B = 0.30 [0.08-0.53], p = 0.009), and with both deep (adj.B = 0.46 [0.22-0.69], p = <0.001) and periventricular (adj.B = 0.38 [0.13-0.62], p = 0.004) white matter hyperintensities. Increasing PSMD was associated with decreasing Trail Making Test (TMT)-A performance (B = -0.42 [-0.69-0.14], p = 0.04. In D-CAA mutation-carriers microstructural white matter damage is associated with disease phase, CAA burden on MRI and cognitive impairment as reflected by a decrease in information processing speed. PSMD, as a global measure of alterations to the white matter microstructure, may be a useful tool to monitor disease progression in CAA.
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Affiliation(s)
- Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Naomi Vlegels
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Manon R Schipper
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rosemarie van Dort
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alberto De Luca
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ellis S van Etten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biostatistics, Leiden University Medical Center, Leiden, The Netherland
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Huub Am Middelkoop
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Matthias Jp van Osch
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Marieke Jh Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
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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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Rasing I, Voigt S, Koemans EA, de Kort AM, van Harten TW, van Etten ES, van Zwet EW, Stoops E, Francois C, Kuiperij HB, Klijn CJM, Schreuder FHBM, van der Weerd L, van Osch MJP, van Walderveen MAA, Verbeek MM, Terwindt GM, Wermer MJH. Serum and cerebrospinal fluid neurofilament light chain and glial fibrillary acid protein levels in early and advanced stages of cerebral amyloid Angiopathy. Alzheimers Res Ther 2024; 16:86. [PMID: 38654326 PMCID: PMC11036675 DOI: 10.1186/s13195-024-01457-0] [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] [Received: 11/29/2023] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a biomarker for neuroaxonal damage and glial fibrillary acidic protein (GFAP) for reactive astrocytosis. Both processes occur in cerebral amyloid angiopathy (CAA), but studies investigating the potential of NFL and GFAP as markers for CAA are lacking. We aimed to investigate NFL and GFAP as biomarkers for neuroaxonal damage and astrocytosis in CAA. METHODS For this cross-sectional study serum and cerebrospinal fluid (CSF) samples were collected between 2010 and 2020 from controls, (pre)symptomatic Dutch-type hereditary (D-CAA) mutation-carriers and participants with sporadic CAA (sCAA) from two prospective CAA studies at two University hospitals in the Netherlands. NFL and GFAP levels were measured with Simoa-assays. The association between NFL and GFAP levels and age, cognitive performance (MoCA), CAA-related MRI markers (CAA-CSVD-burden) and Aβ40 and Aβ42 levels in CSF were assessed with linear regression adjusted for confounders. The control group was divided in age < 55 and ≥55 years to match the specific groups. RESULTS We included 187 participants: 28 presymptomatic D-CAA mutation-carriers (mean age 40 years), 29 symptomatic D-CAA participants (mean age 58 years), 59 sCAA participants (mean age 72 years), 33 controls < 55 years (mean age 42 years) and 38 controls ≥ 55 years (mean age 65 years). In presymptomatic D-CAA, only GFAP in CSF (7.7*103pg/mL vs. 4.4*103pg/mL in controls; P<.001) was increased compared to controls. In symptomatic D-CAA, both serum (NFL:26.2pg/mL vs. 12.5pg/mL; P=0.008, GFAP:130.8pg/mL vs. 123.4pg/mL; P=0.027) and CSF (NFL:16.8*102pg/mL vs. 7.8*102pg/mL; P=0.01 and GFAP:11.4*103pg/mL vs. 7.5*103pg/mL; P<.001) levels were higher than in controls and serum levels (NFL:26.2pg/mL vs. 6.7pg/mL; P=0.05 and GFAP:130.8pg/mL vs. 66.0pg/mL; P=0.004) were higher than in pre-symptomatic D-CAA. In sCAA, only NFL levels were increased compared to controls in both serum (25.6pg/mL vs. 12.5pg/mL; P=0.005) and CSF (20.0*102pg/mL vs 7.8*102pg/mL; P=0.008). All levels correlated with age. Serum NFL correlated with MoCA (P=0.008) and CAA-CSVD score (P<.001). NFL and GFAP in CSF correlated with Aβ42 levels (P=0.01/0.02). CONCLUSIONS GFAP level in CSF is an early biomarker for CAA and is increased years before symptom onset. NFL and GFAP levels in serum and CSF are biomarkers for advanced CAA.
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Affiliation(s)
- Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- 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 de Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellis S van Etten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Louise van der Weerd
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
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Berger L, Mouthon M, Jost LB, Schwab S, Aybek S, Annoni JM. Does Diglossia Impact Brain Structure? Data from Swiss German Early Diglossic Speakers. Brain Sci 2024; 14:304. [PMID: 38671956 PMCID: PMC11048535 DOI: 10.3390/brainsci14040304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/16/2024] [Accepted: 03/16/2024] [Indexed: 04/28/2024] Open
Abstract
(1) Background: Bilingualism has been reported to shape the brain by inducing cortical changes in cortical and subcortical language and executive networks. Similar yet different to bilingualism, diglossia is common in Switzerland, where the German-speaking population switches between an everyday spoken Swiss German (CH-GER) dialect and the standard German (stGER) used for reading and writing. However, no data are available for diglossia, defined as the use of different varieties or dialects of the same language, regarding brain structure. The aim of our study is to investigate if the presence of this type of diglossia has an impact on the brain structure, similar to the effects seen in bilingualism. (2) Methods: T1-weighted anatomical MRI scans of participants were used to compare the grey matter density and grey matter volume of 22 early diglossic CH-GER-speaking and 20 non-diglossic French-speaking right-handed university students, matched for age, linguistics and academic background. The images were processed with Statistical Parametric Mapping SPM12 and analyzed via voxel- and surface-based morphometry. (3) Results: A Bayesian ANCOVA on the whole brain revealed no differences between the groups. Also, for the five regions of interest (i.e., planum temporale, caudate nucleus, ACC, DLPFC and left interior parietal lobule), no differences in the cortical volume or thickness were found using the same statistical approach. (4) Conclusion: The results of this study may suggest that early diglossia does not shape the brain structure in the same manner as bilingualism.
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Affiliation(s)
- Lea Berger
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
- Lucern Regional Hospital Sursee, 6210 Sursee, Switzerland
| | - Michael Mouthon
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
| | - Lea B. Jost
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
| | - Sandra Schwab
- Department of French, Faculty of Art, University of Bern, 3012 Bern, Switzerland;
| | - Selma Aybek
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
- Functional Neurological Disorder (FND) Research Group, Department of Clinical Neuroscience, Faculty of Science and Medicine, University of Bern, 3012 Bern, Switzerland
| | - Jean-Marie Annoni
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
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Alizadeh Darbandi SS, Fornito A, Ghasemi A. The impact of input node placement in the controllability of structural brain networks. Sci Rep 2024; 14:6902. [PMID: 38519624 PMCID: PMC10960045 DOI: 10.1038/s41598-024-57181-0] [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: 08/09/2023] [Accepted: 03/14/2024] [Indexed: 03/25/2024] Open
Abstract
Network controllability refers to the ability to steer the state of a network towards a target state by driving certain nodes, known as input nodes. This concept can be applied to brain networks for studying brain function and its relation to the structure, which has numerous practical applications. Brain network controllability involves using external signals such as electrical stimulation to drive specific brain regions and navigate the neurophysiological activity level of the brain around the state space. Although controllability is mainly theoretical, the energy required for control is critical in real-world implementations. With a focus on the structural brain networks, this study explores the impact of white matter fiber architecture on the control energy in brain networks using the theory of how input node placement affects the LCC (the longest distance between inputs and other network nodes). Initially, we use a single input node as it is theoretically possible to control brain networks with just one input. We show that highly connected brain regions that lead to lower LCCs are more energy-efficient as a single input node. However, there may still be a need for a significant amount of control energy with one input, and achieving controllability with less energy could be of interest. We identify the minimum number of input nodes required to control brain networks with smaller LCCs, demonstrating that reducing the LCC can significantly decrease the control energy in brain networks. Our results show that relying solely on highly connected nodes is not effective in controlling brain networks with lower energy by using multiple inputs because of densely interconnected brain network hubs. Instead, a combination of low and high-degree nodes is necessary.
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Affiliation(s)
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
| | - Abdorasoul Ghasemi
- Department of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran.
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Koemans EA, Rasing I, Voigt S, van Harten TW, van der Zwet RG, Kaushik K, Schipper MR, van der Weerd N, van Zwet EW, van Etten ES, van Osch MJ, Kuiperij B, Verbeek MM, Terwindt GM, Greenberg SM, van Walderveen MA, Wermer MJ. Temporal Ordering of Biomarkers in Dutch-Type Hereditary Cerebral Amyloid Angiopathy. Stroke 2024; 55:954-962. [PMID: 38445479 PMCID: PMC10962436 DOI: 10.1161/strokeaha.123.044688] [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: 07/31/2023] [Revised: 11/24/2023] [Accepted: 12/05/2023] [Indexed: 03/07/2024]
Abstract
BACKGROUND The temporal ordering of biomarkers for cerebral amyloid angiopathy (CAA) is important for their use in trials and for the understanding of the pathological cascade of CAA. We investigated the presence and abnormality of the most common biomarkers in the largest (pre)symptomatic Dutch-type hereditary CAA (D-CAA) cohort to date. METHODS We included cross-sectional data from participants with (pre)symptomatic D-CAA and controls without CAA. We investigated CAA-related cerebral small vessel disease markers on 3T-MRI, cerebrovascular reactivity with functional 7T-MRI (fMRI) and amyloid-β40 and amyloid-β42 levels in cerebrospinal fluid. We calculated frequencies and plotted biomarker abnormality according to age to form scatterplots. RESULTS We included 68 participants with D-CAA (59% presymptomatic, mean age, 50 [range, 26-75] years; 53% women), 53 controls (mean age, 51 years; 42% women) for cerebrospinal fluid analysis and 36 controls (mean age, 53 years; 100% women) for fMRI analysis. Decreased cerebrospinal fluid amyloid-β40 and amyloid-β42 levels were the earliest biomarkers present: all D-CAA participants had lower levels of amyloid-β40 and amyloid-β42 compared with controls (youngest participant 30 years). Markers of nonhemorrhagic injury (>20 enlarged perivascular spaces in the centrum semiovale and white matter hyperintensities Fazekas score, ≥2, present in 83% [n=54]) and markers of impaired cerebrovascular reactivity (abnormal BOLD amplitude, time to peak and time to baseline, present in 56% [n=38]) were present from the age of 30 years. Finally, markers of hemorrhagic injury were present in 64% (n=41) and only appeared after the age of 41 years (first microbleeds and macrobleeds followed by cortical superficial siderosis). CONCLUSIONS Our results suggest that amyloid biomarkers in cerebrospinal fluid are the first to become abnormal in CAA, followed by MRI biomarkers for cerebrovascular reactivity and nonhemorrhagic injury and lastly hemorrhagic injury. This temporal ordering probably reflects the pathological stages of CAA and should be taken into account when future therapeutic trials targeting specific stages are designed.
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Affiliation(s)
- Emma A. Koemans
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Ingeborg Rasing
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Sabine Voigt
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
- Radiology (S.V., T.W.v.H., M.R.S., M.J.v.P.O., M.A.A.v.W.), Leiden University Medical Center, the Netherlands
| | - Thijs W. van Harten
- Radiology (S.V., T.W.v.H., M.R.S., M.J.v.P.O., M.A.A.v.W.), Leiden University Medical Center, the Netherlands
| | - Reinier G.J. van der Zwet
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Kanishk Kaushik
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Manon R. Schipper
- Radiology (S.V., T.W.v.H., M.R.S., M.J.v.P.O., M.A.A.v.W.), Leiden University Medical Center, the Netherlands
| | - Nelleke van der Weerd
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Erik W. van Zwet
- Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Ellis S. van Etten
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Matthias J.P. van Osch
- Radiology (S.V., T.W.v.H., M.R.S., M.J.v.P.O., M.A.A.v.W.), Leiden University Medical Center, the Netherlands
| | - Bea Kuiperij
- Department Neurology and Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen (B.K., M.M.V.)
| | - Marcel M. Verbeek
- Department Neurology and Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen (B.K., M.M.V.)
| | - Gisela M. Terwindt
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Steven M. Greenberg
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (S.M.G.)
| | | | - Marieke J.H. Wermer
- Departments of Neurology (E.A.K., I.R., S.V., R.G.J.v.d.Z., K.K., N.v.d.W., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
- Department of Neurology, University Medical Center Groningen, the Netherlands (M.J.H.W.)
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9
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Raposo N, Périole C, Planton M. In-vivo diagnosis of cerebral amyloid angiopathy: an updated review. Curr Opin Neurol 2024; 37:19-25. [PMID: 38038409 DOI: 10.1097/wco.0000000000001236] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
PURPOSE OF REVIEW Sporadic cerebral amyloid angiopathy (CAA) is a highly prevalent small vessel disease in ageing population with potential severe complications including lobar intracerebral hemorrhage (ICH), cognitive impairment, and dementia. Although diagnosis of CAA was made only with postmortem neuropathological examination a few decades ago, diagnosing CAA without pathological proof is now allowed in living patients. This review focuses on recently identified biomarkers of CAA and current diagnostic criteria. RECENT FINDINGS Over the past few years, clinicians and researchers have shown increased interest for CAA, and important advances have been made. Thanks to recent insights into mechanisms involved in CAA and advances in structural and functional neuroimaging, PET amyloid tracers, cerebrospinal fluid and plasma biomarkers analysis, a growing number of biomarkers of CAA have been identified. Imaging-based diagnostic criteria including emerging biomarkers have been recently developed or updated, enabling accurate and earlier diagnosis of CAA in living patients. SUMMARY Recent advances in neuroimaging allow diagnosing CAA in the absence of pathological examination. Current imaging-based criteria have high diagnostic performance in patients presenting with ICH, but is more limited in other clinical context such as cognitively impaired patients or asymptomatic individuals. Further research is still needed to improve diagnostic accuracy.
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Affiliation(s)
- Nicolas Raposo
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
| | - Charlotte Périole
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
| | - Mélanie Planton
- Department of neurology, Toulouse University Hospital
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
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10
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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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11
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Sánchez‐Moreno B, Zhang L, Mateo G, Moldenhauer F, Brudfors M, Ashburner J, Nachev P, de Asúa DR, Strange BA. Voxel-based dysconnectomic brain morphometry with computed tomography in Down syndrome. Ann Clin Transl Neurol 2024; 11:143-155. [PMID: 38158639 PMCID: PMC10791030 DOI: 10.1002/acn3.51940] [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: 06/06/2023] [Revised: 09/23/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) is a major health concern for aging adults with Down syndrome (DS), but conventional diagnostic techniques are less reliable in those with severe baseline disability. Likewise, acquisition of magnetic resonance imaging to evaluate cerebral atrophy is not straightforward, as prolonged scanning times are less tolerated in this population. Computed tomography (CT) scans can be obtained faster, but poor contrast resolution limits its function for morphometric analysis. We implemented an automated analysis of CT scans to characterize differences across dementia stages in a cross-sectional study of an adult DS cohort. METHODS CT scans of 98 individuals were analyzed using an automatic algorithm. Voxel-based correlations with clinical dementia stages and AD plasma biomarkers (phosphorylated tau-181 and neurofilament light chain) were identified, and their dysconnectomic patterns delineated. RESULTS Dementia severity was negatively correlated with gray (GM) and white matter (WM) volumes in temporal lobe regions, including parahippocampal gyri. Dysconnectome analysis revealed an association between WM loss and temporal lobe GM volume reduction. AD biomarkers were negatively associated with GM volume in hippocampal and cingulate gyri. INTERPRETATION Our automated algorithm and novel dysconnectomic analysis of CT scans successfully described brain morphometric differences related to AD in adults with DS, providing a new avenue for neuroimaging analysis in populations for whom magnetic resonance imaging is difficult to obtain.
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Affiliation(s)
- Beatriz Sánchez‐Moreno
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Linda Zhang
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
| | - Gloria Mateo
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Fernando Moldenhauer
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Mikael Brudfors
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - John Ashburner
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - Parashkev Nachev
- High‐Dimensional Neurology GroupUniversity College London Queen Square Institute of NeurologyLondonUK
| | - Diego Real de Asúa
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Bryan A. Strange
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
- Laboratory for Clinical NeuroscienceCTB, Universidad Politécnica de MadridMadridSpain
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12
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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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13
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Schipper MR, Vlegels N, van Harten TW, Rasing I, Koemans EA, Voigt S, de Luca A, Kaushik K, van Etten ES, van Zwet EW, Terwindt GM, Biessels GJ, van Osch MJP, van Walderveen MAA, Wermer MJH. Microstructural white matter integrity in relation to vascular reactivity in Dutch-type hereditary cerebral amyloid angiopathy. J Cereb Blood Flow Metab 2023; 43:2144-2155. [PMID: 37708241 PMCID: PMC10925868 DOI: 10.1177/0271678x231200425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
Cerebral Amyloid Angiopathy (CAA) is characterized by cerebrovascular amyloid-β accumulation leading to hallmark cortical MRI markers, such as vascular reactivity, but white matter is also affected. By studying the relationship in different disease stages of Dutch-type CAA (D-CAA), we tested the relation between vascular reactivity and microstructural white matter integrity loss. In a cross-sectional study in D-CAA, 3 T MRI was performed with Blood-Oxygen-Level-Dependent (BOLD) fMRI upon visual activation to assess vascular reactivity and diffusion tensor imaging to assess microstructural white matter integrity through Peak Width of Skeletonized Mean Diffusivity (PSMD). We assessed the relationship between BOLD parameters - amplitude, time-to-peak (TTP), and time-to-baseline (TTB) - and PSMD, with linear and quadratic regression modeling. In total, 25 participants were included (15/10 pre-symptomatic/symptomatic; mean age 36/59 y). A lowered BOLD amplitude (unstandardized β = 0.64, 95%CI [0.10, 1.18], p = 0.02, Adjusted R2 = 0.48), was quadratically associated with increased PSMD levels. A delayed BOLD response, with prolonged TTP (β = 8.34 × 10-6, 95%CI [1.84 × 10-6, 1.48 × 10-5], p = 0.02, Adj. R2 = 0.25) and TTB (β = 6.57 × 10-6, 95%CI [1.92 × 10-6, 1.12 × 10-5], p = 0.008, Adj. R2 = 0.29), was linearly associated with increased PSMD. In D-CAA subjects, predominantly in the symptomatic stage, impaired cerebrovascular reactivity is related to microstructural white matter integrity loss. Future longitudinal studies are needed to investigate whether this relation is causal.
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Affiliation(s)
- Manon R Schipper
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Naomi Vlegels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sabine Voigt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alberto de Luca
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellis S van Etten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biostatistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Matthias JP van Osch
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Marieke JH Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
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14
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Chan E, Bonifacio GB, Harrison C, Banerjee G, Best JG, Sacks B, Harding N, Del Rocio Hidalgo Mas M, Jäger HR, Cipolotti L, Werring DJ. Domain-specific neuropsychological investigation of CAA with and without intracerebral haemorrhage. J Neurol 2023; 270:6124-6132. [PMID: 37672105 PMCID: PMC10632296 DOI: 10.1007/s00415-023-11977-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is associated with cognitive impairment, but the contributions of lobar intracerebral haemorrhage (ICH), underlying diffuse vasculopathy, and neurodegeneration, remain uncertain. We investigated the domain-specific neuropsychological profile of CAA with and without ICH, and their associations with structural neuroimaging features. METHODS Data were collected from patients with possible or probable CAA attending a specialist outpatient clinic. Patients completed standardised neuropsychological assessment covering seven domains. MRI scans were scored for markers of cerebral small vessel disease and neurodegeneration. Patients were grouped into those with and without a macro-haemorrhage (CAA-ICH and CAA-non-ICH). RESULTS We included 77 participants (mean age 72, 65% male). 26/32 (81%) CAA-non-ICH patients and 41/45 (91%) CAA-ICH patients were impaired in at least one cognitive domain. Verbal IQ and non-verbal IQ were the most frequently impaired, followed by executive functions and processing speed. We found no significant differences in the frequency of impairment across domains between the two groups. Medial temporal atrophy was the imaging feature most consistently associated with cognitive impairment (both overall and in individual domains) in both univariable and multivariable analyses. DISCUSSION Cognitive impairment is common in CAA, even in the absence of ICH, suggesting a key role for diffuse processes related to small vessel disease and/or neurodegeneration. Our findings indicate that neurodegeneration, possibly due to co-existing Alzheimer's disease pathology, may be the most important contributor. The observation that general intelligence is the most frequently affected domain suggests that CAA has a generalised rather than focal cognitive impact.
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Affiliation(s)
- Edgar Chan
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, London, UK.
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK.
| | - Guendalina B Bonifacio
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Corin Harrison
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Gargi Banerjee
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Jonathan G Best
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Benjamin Sacks
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Nicola Harding
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Maria Del Rocio Hidalgo Mas
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - H Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Lisa Cipolotti
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David J Werring
- Department of Brain Repair and Rehabilitation, Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
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15
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Koemans EA, Chhatwal JP, van Veluw SJ, van Etten ES, van Osch MJP, van Walderveen MAA, Sohrabi HR, Kozberg MG, Shirzadi Z, Terwindt GM, van Buchem MA, Smith EE, Werring DJ, Martins RN, Wermer MJH, Greenberg SM. Progression of cerebral amyloid angiopathy: a pathophysiological framework. Lancet Neurol 2023; 22:632-642. [PMID: 37236210 DOI: 10.1016/s1474-4422(23)00114-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 02/21/2023] [Accepted: 03/14/2023] [Indexed: 05/28/2023]
Abstract
Cerebral amyloid angiopathy, which is defined by cerebrovascular deposition of amyloid β, is a common age-related small vessel pathology associated with intracerebral haemorrhage and cognitive impairment. Based on complementary lines of evidence from in vivo studies of individuals with hereditary, sporadic, and iatrogenic forms of cerebral amyloid angiopathy, histopathological analyses of affected brains, and experimental studies in transgenic mouse models, we present a framework and timeline for the progression of cerebral amyloid angiopathy from subclinical pathology to the clinical manifestation of the disease. Key stages that appear to evolve sequentially over two to three decades are (stage one) initial vascular amyloid deposition, (stage two) alteration of cerebrovascular physiology, (stage three) non-haemorrhagic brain injury, and (stage four) appearance of haemorrhagic brain lesions. This timeline of stages and the mechanistic processes that link them have substantial implications for identifying disease-modifying interventions for cerebral amyloid angiopathy and potentially for other cerebral small vessel diseases.
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Affiliation(s)
- Emma A Koemans
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Jasmeer P Chhatwal
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Susanne J van Veluw
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Ellis S van Etten
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Matthias J P van Osch
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Mariel G Kozberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Zahra Shirzadi
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Gisela M Terwindt
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Mark A van Buchem
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ralph N Martins
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Marieke J H Wermer
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Steven M Greenberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
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16
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Yang R, Li J, Qin Y, Zhao L, Liu R, Yang F, Jiang G. A bibliometric analysis of cerebral microbleeds and cognitive impairment. Brain Cogn 2023; 169:105999. [PMID: 37262941 DOI: 10.1016/j.bandc.2023.105999] [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: 03/23/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND AND OBJECTIVES Cerebral microbleeds (CMBs) are imaging markers for small cerebral vascular diseases, which can accumulate and impact the corresponding brain networks. CMBs can affect cognitive function, including executive function, information processing speed, and visuospatial memory. Bibliometrics is a scientific and innovative method that can analyze and visualize the scientific field quantitatively. In this study, we aimed to use bibliometric analysis to demonstrate the relationship and mechanisms between CMBs and cognitive impairment. Furthermore, we reviewed the relationship between CMBs and different cognitive disorders. The use of bibliometrics can help further clarify this relationship. METHODS We retrieved articles on CMBs and cognitive impairment from the Web of Science Core Collection. The keywords (such as stroke, dementia, and cerebral amyloid angiopathy), authors, countries, institutions and journals, in the field were visually analyzed using VOSviewer software and bibliometric websites. RESULTS This bibliometric analysis reveals the related trends of CMBs in the field of cognitive impairment. CMBs, along with other small vascular lesions, constitute the basis of cognitive impairment, and studying CMBs is essential to understand the mechanisms underlying cognitive impairment. CONCLUSION This bibliometric analysis reveals a strong link between CMBs and cognitive impairment-related diseases and that specific brain networks were affected by CMBs. This provides further insights into the possible mechanisms and causes of CMBs and cognitive impairment. The direct and indirect damage (such as oxidative stress and neuroinflammation) to the brain caused by CMBs, destruction of the frontal-subcortical circuits, elevated Cystatin C levels, and iron deposition are involved in the occurrence and development of cognitive impairment. CMBs may be a potential marker for detecting, quantifying, and predicting cognitive impairment.
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Affiliation(s)
- Rui Yang
- North Sichuan Medical College, Nanchong, Sichuan, China
| | - Jia Li
- North Sichuan Medical College, Nanchong, Sichuan, China
| | - Yaya Qin
- North Sichuan Medical College, Nanchong, Sichuan, China
| | - Li Zhao
- North Sichuan Medical College, Nanchong, Sichuan, China
| | - Rong Liu
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Fanhui Yang
- Department of Nuclear Medicine, Affiliated Hospital of North Sichuan Medical College North Sichuan Medical College, Nanchong, Sichuan, China.
| | - Guohui Jiang
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
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17
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Zhang Q, Yan X, Du J, Chen Z, Chang C. Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis. Neurologist 2023; 28:143-149. [PMID: 35986673 PMCID: PMC10158599 DOI: 10.1097/nrl.0000000000000461] [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] [Indexed: 10/15/2022]
Abstract
BACKGROUND Vascular dementia (VaD) is the most common type of dementia secondary to Alzheimer's disease. The pathologic mechanism of VaD is complex, and VaD still lacks a more objective diagnosis and evaluation method. Diffusion tensor imaging (DTI) can better detect the organizational structure and functional characteristics compared with any other diagnosis methods. Therefore, DTI has broad application in evaluating the severity and prognosis of VaD. This study aimed to assess the value of DTI in evaluating the cognitive function of patients with VaD. METHODS Authors searched Pubmed, Embase, and Cochrane Library, using the search terms, such as "diffusion tensor imaging," "DTI," "Vascular Dementia," "Arteriosclerotic Dementia," "Cognition," and "Cognitive." A voxel-based meta-analysis combined with quality statistics was performed, using the anisotropic effect-size version of the signed differential mapping method. RESULTS A total of 8 case-control studies were included in this meta-analysis. The sample size of patients ranged from 35 to 60, including 166 patients in the VaD group and 177 healthy individuals. The DTI imaging of the brain tissue of VaD patients was significantly different from that of healthy individuals. CONCLUSIONS DTI imaging of the brain tissue of VaD patients was clearly different from that of healthy controls. Therefore it may be feasible to use DTI imaging as a diagnostic method for VaD.
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Affiliation(s)
- Qiuchi Zhang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Xiwu Yan
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Jun Du
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Zhaoyao Chen
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine
| | - Cheng Chang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
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18
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Horn MJ, Gokcal E, Becker JA, Das AS, Schwab K, Zanon Zotin MC, Goldstein JN, Rosand J, Viswanathan A, Polimeni JR, Duering M, Greenberg SM, Gurol ME. Peak width of skeletonized mean diffusivity and cognitive performance in cerebral amyloid angiopathy. Front Neurosci 2023; 17:1141007. [PMID: 37077322 PMCID: PMC10106761 DOI: 10.3389/fnins.2023.1141007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
Background Cerebral Amyloid Angiopathy (CAA) is a cerebral small vessel disease that can lead to microstructural disruption of white matter (WM), which can be measured by the Peak Width of Skeletonized Mean Diffusivity (PSMD). We hypothesized that PSMD measures would be increased in patients with CAA compared to healthy controls (HC), and increased PSMD is associated with lower cognitive scores in patients with CAA. Methods Eighty-one probable CAA patients without cognitive impairment who were diagnosed with Boston criteria and 23 HCs were included. All subjects underwent an advanced brain MRI with high-resolution diffusion-weighted imaging (DWI). PSMD scores were quantified from a probabilistic skeleton of the WM tracts in the mean diffusivity (MD) image using a combination of fractional anisotropy (FA) and the FSL Tract-Based Spatial Statistics (TBSS) algorithm (www.psmd-marker.com). Within CAA cohort, standardized z-scores of processing speed, executive functioning and memory were obtained. Results The mean of age and sex were similar between CAA patients (69.6 ± 7.3, 59.3% male) and HCs (70.6 ± 8.5, 56.5% male) (p = 0.581 and p = 0.814). PSMD was higher in the CAA group [(4.13 ± 0.94) × 10-4 mm2/s] compared to HCs [(3.28 ± 0.51) × 10-4 mm2/s] (p < 0.001). In a linear regression model corrected for relevant variables, diagnosis of CAA was independently associated with increased PSMD compared to HCs (ß = 0.45, 95% CI 0.13-0.76, p = 0.006). Within CAA cohort, higher PSMD was associated with lower scores in processing speed (p < 0.001), executive functioning (p = 0.004), and memory (0.047). Finally, PSMD outperformed all other MRI markers of CAA by explaining most of the variance in models predicting lower scores in each cognitive domain. Discussion Peak Width of Skeletonized Mean Diffusivity is increased in CAA, and it is associated with worse cognitive scores supporting the view that disruption of white matter has a significant role in cognitive impairment in CAA. As a robust marker, PSMD can be used in clinical trials or practice.
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Affiliation(s)
- Mitchell J. Horn
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Elif Gokcal
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - J. Alex Becker
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Alvin S. Das
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Kristin Schwab
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Maria Clara Zanon Zotin
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, Center for Imaging Sciences and Medical Physics, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Joshua N. Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jonathan Rosand
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Anand Viswanathan
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Jonathan R. Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Marco Duering
- Medical Image Analysis Center (MIAC), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Steven M. Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - M. Edip Gurol
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
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19
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Durrani R, Wang M, Cox E, Irving E, Saad F, McCreary CR, Beaudin AE, Gee M, Nelles K, Sajobi TT, Ismail Z, Camicioli R, Smith EE. Mediators of cognitive impairment in cerebral amyloid angiopathy. Int J Stroke 2023; 18:78-84. [PMID: 35473418 DOI: 10.1177/17474930221099352] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is associated with cognitive decline. CAA has diverse impacts on brain structure and function; however, the brain lesions that mediate the association of CAA with cognition are not understood well. AIMS To determine the degree to which CAA neuroimaging biomarkers mediate the association of CAA with cognitive dysfunction. METHODS We analyzed cross-sectional data of patients with probable CAA and controls without cognitive impairment from the Functional Assessment of Vascular Reactivity study. Neuropsychological tests were grouped into domains of memory, executive function, and processing speed. Candidate CAA neuroimaging biomarkers were pre-specified based on prior literature, consisting of white matter hyperintensity volume, peak width of skeletonized mean diffusivity (PSMD) on diffusion tensor magnetic resonance imaging (MRI), cerebrovascular reactivity (CVR), cortical thickness, and cortical thickness in a meta-region of interest typically affected by Alzheimer's disease (AD). Cognitive scores and neuroimaging markers were standardized and reported in relation to values in controls. Mediation analysis was used to estimate the total effect of CAA on cognition and the proportion of the total effect that was mediated by neuroimaging biomarkers, controlling for age, sex, and education. RESULTS There were 131 participants (67 CAA and 64 controls). Mean age was 72.1 ± 7.7 years, and 54.2% were women. As expected, compared to controls, CAA was associated with lower cognition. In mediation analyses, CAA had direct unmediated effects of 48%, 46%, and 52% on all three cognitive domains. The association of CAA with memory was partially mediated by CVR and PSMD, accounting for 18% and 36% of the total effect of CAA. The association of CAA with executive function was partially mediated by PSMD and mean cortical thickness in the AD meta-region of interest (ROI), accounting for 33% and 31% of the total effect of CAA. The association of CAA with processing speed was partially mediated by CVR and PSMD, accounting for 8% and 34% of the total effect of CAA. Among CAA participants, the presence of cortical superficial siderosis was associated with lower processing speed. CONCLUSION Altered white matter diffusivity (i.e. PSMD), CVR, and atrophy, taken together, account for about half the effect of CAA on cognition.
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Affiliation(s)
- Romella Durrani
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Meng Wang
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Emily Cox
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Elisabeth Irving
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Feryal Saad
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Cheryl R McCreary
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Andrew E Beaudin
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Myrlene Gee
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Krista Nelles
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Tolulope T Sajobi
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Zahinoor Ismail
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology and Neuroscience and Mental Health Institute (NMHI), University of Alberta, Edmonton, AB, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Department of Radiology, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada
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20
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Zanon Zotin MC, Schoemaker D, Raposo N, Perosa V, Bretzner M, Sveikata L, Li Q, van Veluw SJ, Horn MJ, Etherton MR, Charidimou A, Gurol ME, Greenberg SM, Duering M, dos Santos AC, Pontes-Neto OM, Viswanathan A. Peak width of skeletonized mean diffusivity in cerebral amyloid angiopathy: Spatial signature, cognitive, and neuroimaging associations. Front Neurosci 2022; 16:1051038. [PMID: 36440281 PMCID: PMC9693722 DOI: 10.3389/fnins.2022.1051038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Purpose Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). Materials and methods We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. Results PSMD was comparable in probable-CAA (median 4.06 × 10–4 mm2/s) and cSVD (4.07 × 10–4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10–4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = −0.581, p < 0.001) and processing speed (β = −0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain. Conclusion PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD’s spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
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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, MA, 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, Brazil
- *Correspondence: Maria Clara Zanon Zotin, ,
| | - Dorothee Schoemaker
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Nicolas Raposo
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | | | - Martin Bretzner
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- University of Lille, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences & Cognition, Lille, France
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Qi Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Susanne J. van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mitchell J. Horn
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mark R. Etherton
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Andreas Charidimou
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University Medical Center, Boston, MA, United States
| | - M. Edip Gurol
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Marco Duering
- Department of Biomedical Engineering, Medical Imaging Analysis Center (MIAC), University of Basel, Basel, Switzerland
| | - Antonio Carlos dos Santos
- 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, Brazil
| | - Octavio M. Pontes-Neto
- Department of Neuroscience and Behavioral Sciences, 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, MA, United States
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21
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Sharma B, Gee M, Nelles K, Cox E, Irving E, Saad F, Yuan J, McCreary CR, Ismail Z, Camicioli R, Smith E. Gait in Cerebral Amyloid Angiopathy. J Am Heart Assoc 2022; 11:e025886. [PMID: 36129041 PMCID: PMC9673747 DOI: 10.1161/jaha.121.025886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 07/26/2022] [Indexed: 11/16/2022]
Abstract
Background Gait is a complex task requiring coordinated efforts of multiple brain networks. To date, there is little evidence on whether gait is altered in cerebral amyloid angiopathy (CAA). We aimed to identify impairments in gait performance and associations between gait impairment and neuroimaging markers of CAA, cognition, and falls. Methods and Results Gait was assessed using the Zeno Walkway during preferred pace and dual task walks, and grouped into gait domains (Rhythm, Pace, Postural Control, and Variability). Participants underwent neuropsychological testing and neuroimaging. Falls and fear of falling were assessed through self-report questionnaires. Gait domain scores were standardized and analyzed using linear regression adjusting for age, sex, height, and other covariates. Participants were patients with CAA (n=29), Alzheimer disease with mild dementia (n=16), mild cognitive impairment (n=24), and normal elderly controls (n=47). CAA and Alzheimer disease had similarly impaired Rhythm, Pace, and Variability, and higher dual task cost than normal controls or mild cognitive impairment. Higher Pace score was associated with better global cognition, processing speed, and memory. Gait measures were not correlated with microbleed count or white matter hyperintensity volume. Number of falls was not associated with gait domain scores, but participants with low fear of falling had higher Pace (odds ratio [OR], 2.61 [95% CI, 1.59-4.29]) and lower Variability (OR, 1.64 [95% CI, 1.10-2.44]). Conclusions CAA is associated with slower walking, abnormal rhythm, and greater gait variability than in healthy controls. Future research is needed to identify the mechanisms underlying gait impairments in CAA, and whether they predict future falls.
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Affiliation(s)
- Breni Sharma
- Cumming School of MedicineUniversity of CalgaryAlbertaCanada
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
| | - Myrlene Gee
- Department of Medicine (Neurology)University of AlbertaEdmontonAlbertaCanada
| | - Krista Nelles
- Department of Medicine (Neurology)University of AlbertaEdmontonAlbertaCanada
| | - Emily Cox
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
| | - Elisabeth Irving
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
| | - Feryal Saad
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
- Seaman Family MR Research CentreUniversity of CalgaryAlbertaCanada
| | - Jerald Yuan
- Faculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
| | - Cheryl R. McCreary
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
- Seaman Family MR Research CentreUniversity of CalgaryAlbertaCanada
| | - Zahinoor Ismail
- Cumming School of MedicineUniversity of CalgaryAlbertaCanada
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
- Seaman Family MR Research CentreUniversity of CalgaryAlbertaCanada
- Departments of Psychiatry and Community Health SciencesUniversity of CalgaryAlbertaCanada
| | - Richard Camicioli
- Department of Medicine (Neurology)University of AlbertaEdmontonAlbertaCanada
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Eric E. Smith
- Cumming School of MedicineUniversity of CalgaryAlbertaCanada
- Hotchkiss Brain InstituteUniversity of CalgaryAlbertaCanada
- Department of Clinical NeurosciencesUniversity of CalgaryAlbertaCanada
- Seaman Family MR Research CentreUniversity of CalgaryAlbertaCanada
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22
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de Brito Robalo BM, de Luca A, Chen C, Dewenter A, Duering M, Hilal S, Koek HL, Kopczak A, Lam BYK, Leemans A, Mok V, Onkenhout LP, van den Brink H, Biessels GJ. Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization. Neuroimage Clin 2022; 36:103217. [PMID: 36240537 PMCID: PMC9668636 DOI: 10.1016/j.nicl.2022.103217] [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: 04/05/2022] [Revised: 08/22/2022] [Accepted: 10/01/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE To investigate if network thresholding and raw data harmonization improve consistency of diffusion MRI (dMRI)-based brain networks while also increasing precision and sensitivity to detect disease effects in multicentre datasets. METHODS Brain networks were reconstructed from dMRI of five samples with cerebral small vessel disease (SVD; 629 patients, 166 controls), as a clinically relevant exemplar condition for studies on network integrity. We evaluated consistency of network architecture in age-matched controls, by calculating cross-site differences in connection probability and fractional anisotropy (FA). Subsequently we evaluated precision and sensitivity to disease effects by identifying connections with low FA in sporadic SVD patients relative to controls, using more severely affected patients with a pure form of genetically defined SVD as reference. RESULTS In controls, thresholding and harmonization improved consistency of network architecture, minimizing cross-site differences in connection probability and FA. In patients relative to controls, thresholding improved precision to detect disrupted connections by removing false positive connections (precision, before: 0.09-0.19; after: 0.38-0.70). Before harmonization, sensitivity was low within individual sites, with few connections surviving multiple testing correction (k = 0-25 connections). Harmonization and pooling improved sensitivity (k = 38), while also achieving higher precision when combined with thresholding (0.97). CONCLUSION We demonstrated that network consistency, precision and sensitivity to detect disease effects in SVD are improved by thresholding and harmonization. We recommend introducing these techniques to leverage large existing multicentre datasets to better understand the impact of disease on brain networks.
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Affiliation(s)
- Bruno M. de Brito Robalo
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands,Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Alberto de Luca
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands,Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Christopher Chen
- Memory, Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany,Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Saima Hilal
- Memory, Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Huiberdina L. Koek
- Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Anna Kopczak
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Bonnie Yin Ka Lam
- Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Laurien P. Onkenhout
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hilde van den Brink
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands,Corresponding author at: Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, P.O. Box 85500, 3508 GA Utrecht, the Netherlands.
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Li YX, Li JC, Tian M, Zheng MY, Zhang LP, Zhang JL, Yu F, Li YZ, Zhang QH. Efficacy and safety of Dengyinnaotong Capsule in patients with Cognitive impairment caused by cerebral Small Vessel Disease: study protocol of a multicenter, randomized, open-label, controlled trial (De-CSVD trial). Trials 2022; 23:676. [PMID: 35978350 PMCID: PMC9386924 DOI: 10.1186/s13063-022-06646-6] [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: 12/08/2021] [Accepted: 08/07/2022] [Indexed: 11/22/2022] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a common syndrome in the older population, with a prevalence ranging from 5% in subjects aged 50 years to almost 100% in those aged 90 years and older. It is regarded to be a major cause of vascular cognitive impairment. Existing prevention and treatment approaches have not yet shown ideal clinical outcomes. Dengyinnaotong Capsule has shown great potential for improving cognitive function. This trial (De-CSVD trial) is designed to investigate the efficacy and safety of Dengyinnaotong Capsule on cognitive function in patients with CSVD . Methods This multicenter, randomized, open-label, controlled trial is planned to recruit at least 270 patients with mild cognitive impairment related to CSVD in 25 centers in China. Recruitment started on 10 May 2021 and is foreseen to end on 31 December 2022. The final follow-up of participants will be completed by the end of March 2023. Participants will be randomized in a ratio of 1:1 to the experimental group (routine basic treatment plus Dengyinnaotong Capsule) or the control group (routine basic treatment). The primary outcome is the change in the Montreal Cognitive Assessment score from baseline to week 12. Secondary outcomes are changes in Shape Trail Test, Activities of Daily Living, Geriatric Depression Scale, and Dizziness Handicap Inventory score from baseline to week 12, new vascular events, and the changes in serum level of homocysteine, high-sensitivity C-reactive protein, and D-dimer from baseline to week 4 and 12, respectively. The exploratory outcome is the changes in the Tinetti performance-oriented mobility assessment score from baseline to week 12. Safety assessment is performed by monitoring vital signs, general biochemical examinations, 12-lead electrocardiogram examinations, and incidence of cardiovascular and cerebrovascular ischemia or bleeding events. Visits will be performed at week 0 (baseline, pre-randomization), week 4, and week 12 in the treatment period (post-randomization). Discussion This trial is the first to investigate the efficacy and safety of Dengyinnaotong Capsule on cognitive impairment in patients with CSVD. The findings of this study might provide convincing evidence regarding the efficacy of Dengyinnaotong Capsule in patients with mild cognitive impairment related to CSVD. Trial registration Chinese Clinical Trial Registry ChiCTR2100045831. Registered on 25 April 2021.
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Affiliation(s)
- Yan-Xia Li
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Jin-Cun Li
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Min Tian
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Mao-Yong Zheng
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Li-Ping Zhang
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Jin-Lu Zhang
- Department of Neurology, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Feng Yu
- Department of Administration, Shandong Second Provincial General Hospital, Jinan, Shandong, China
| | - Yi-Zhao Li
- Department of Neurology, Jinan Fanggan Rehabilitation Hospital, Jinan, Shandong, China
| | - Qing-Hua Zhang
- Department of Neurology, Shandong Second Provincial General Hospital, Shandong University, Jinan, Shandong, China.
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24
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Cao QL, Sun Y, Hu H, Wang ZT, Tan L, Yu JT. Association of Cerebral Small Vessel Disease Burden with Neuropsychiatric Symptoms in Non-Demented Elderly: A Longitudinal Study. J Alzheimers Dis 2022; 89:583-592. [PMID: 35912738 DOI: 10.3233/jad-220128] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The links between cerebral small vessel disease (CSVD) burden and neuropsychiatric symptoms (NPS) have not been fully studied. OBJECTIVE We aimed to explore the associations of the CSVD burden with Neuropsychiatric Inventory (NPI) total scores and its subsyndromes in the elderly without dementia. METHODS We investigated 630 non-demented participants from the Alzheimer's Disease Neuroimaging Initiative. All of them had NPI assessments and 3 Tesla MRI scans at baseline and 616 had longitudinal NPI assessments during the follow-up. Linear mixed-effects models were used to investigate the cross-sectional and longitudinal associations of CSVD burden with NPI total scores and its subsyndromes. RESULTS Higher CSVD burden longitudinally predicted more serious neuropsychiatric symptoms, including NPS (p = 0.0001), hyperactivity (p = 0.0007), affective symptoms (p = 0.0096), and apathy (p < 0.0001) in the total participants. Lacunar infarcts (LIs), white matter hyperactivities (WMHs), and cerebral microbleeds (CMBs) might play important roles in the occurrence of NPS, since they were longitudinally associated with specific neuropsychiatric subsyndromes. LIs contributed to hyperactivity (p = 0.0094), psychosis (p = 0.0392), affective symptoms (p = 0.0156), and apathy (p < 0.0001). WMHs were associated with hyperactivity (p = 0.0408) and apathy (p = 0.0343). However, CMBs were only related to apathy (p = 0.0148). CONCLUSION CSVD burden was associated with multiple neuropsychiatric symptoms, suggesting the importance of monitoring and controlling vascular risk factors. Different markers of CSVD were associated with specific subsyndromes of NPS, suggesting that different markers tended to occur in different encephalic regions.
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Affiliation(s)
- Qiao-Ling Cao
- Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China
| | - Yan Sun
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Hao Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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25
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Gokcal E, Horn MJ, Becker JA, Das AS, Schwab K, Biffi A, Rost N, Rosand J, Viswanathan A, Polimeni JR, Johnson KA, Greenberg SM, Gurol ME. Effect of vascular amyloid on white matter disease is mediated by vascular dysfunction in cerebral amyloid angiopathy. J Cereb Blood Flow Metab 2022; 42:1272-1281. [PMID: 35086372 PMCID: PMC9207495 DOI: 10.1177/0271678x221076571] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
We postulated that vascular dysfunction mediates the relationship between amyloid load and white matter hyperintensities (WMH) in cerebral amyloid angiopathy (CAA). Thirty-eight cognitively healthy patients with CAA (mean age 70 ± 7.1) were evaluated. WMH was quantified and expressed as percent of total intracranial volume (pWMH) using structural MRI. Mean global cortical Distribution Volume Ratio representing Pittsburgh Compound B (PiB) uptake (PiB-DVR) was calculated from PET scans. Time-to-peak [TTP] of blood oxygen level-dependent response to visual stimulation was used as an fMRI measure of vascular dysfunction. Higher PiB-DVR correlated with prolonged TTP (r = 0.373, p = 0.021) and higher pWMH (r = 0.337, p = 0.039). Prolonged TTP also correlated with higher pWMH (r = 0.485, p = 0.002). In a multivariate linear regression model, TTP remained independently associated with pWMH (p = 0.006) while PiB-DVR did not (p = 0.225). In a bootstrapping model, TTP had a significant indirect effect (ab = 0.97, 95% CI: 0.137-2.461), supporting that the association between PiB-DVR and pWMH is mediated by TTP response. There was no longer a direct effect independent of the hypothesized pathway. Our study suggests that the effect of vascular amyloid load on white matter disease is mediated by vascular dysfunction in CAA. Amyloid lowering strategies might prevent pathophysiological processes leading to vascular dysfunction, therefore limiting ischemic brain injury.
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Affiliation(s)
- Elif Gokcal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mitchell J Horn
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - J Alex Becker
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Alvin S Das
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kristin Schwab
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Alessandro Biffi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Natalia Rost
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Rosand
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Keith A Johnson
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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26
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Dewenter A, Gesierich B, Ter Telgte A, Wiegertjes K, Cai M, Jacob MA, Marques JP, Norris DG, Franzmeier N, de Leeuw FE, Tuladhar AM, Duering M. Systematic validation of structural brain networks in cerebral small vessel disease. J Cereb Blood Flow Metab 2022; 42:1020-1032. [PMID: 34929104 PMCID: PMC9125482 DOI: 10.1177/0271678x211069228] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Cerebral small vessel disease (SVD) is considered a disconnection syndrome, which can be quantified using structural brain network analysis obtained from diffusion MRI. Network analysis is a demanding analysis approach and the added benefit over simpler diffusion MRI analysis is largely unexplored in SVD. In this pre-registered study, we assessed the clinical and technical validity of network analysis in two non-overlapping samples of SVD patients from the RUN DMC study (n = 52 for exploration and longitudinal analysis and n = 105 for validation). We compared two connectome pipelines utilizing single-shell or multi-shell diffusion MRI, while also systematically comparing different node and edge definitions. For clinical validation, we assessed the added benefit of network analysis in explaining processing speed and in detecting short-term disease progression. For technical validation, we determined test-retest repeatability.Our findings in clinical validation show that structural brain networks provide only a small added benefit over simpler global white matter diffusion metrics and do not capture short-term disease progression. Test-retest reliability was excellent for most brain networks. Our findings question the added value of brain network analysis in clinical applications in SVD and highlight the utility of simpler diffusion MRI based markers.
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Affiliation(s)
- Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,VASCage - Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mengfei Cai
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mina A Jacob
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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27
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Horn MJ, Gokcal E, Becker AJ, Das AS, Warren AD, Schwab K, Goldstein JN, Biffi A, Rosand J, Polimeni JR, Viswanathan A, Greenberg SM, Gurol ME. Cerebellar atrophy and its implications on gait in cerebral amyloid angiopathy. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328553. [PMID: 35534189 PMCID: PMC10936558 DOI: 10.1136/jnnp-2021-328553] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/06/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Recent data suggest that cerebral amyloid angiopathy (CAA) causes haemorrhagic lesions in cerebellar cortex as well as subcortical cerebral atrophy. However, the potential effect of CAA on cerebellar tissue loss and its clinical implications have not been investigated. METHODS Our study included 70 non-demented patients with probable CAA, 70 age-matched healthy controls (HCs) and 70 age-matched patients with Alzheimer's disease (AD). The cerebellum was segmented into percent of cerebellar subcortical volume (pCbll-ScV) and percent of cerebellar cortical volume (pCbll-CV) represented as percent (p) of estimated total intracranial volume. We compared pCbll-ScV and pCbll-CV between patients with CAA, HCs and those with AD. Gait velocity (metres/second) was used to investigate gait function in patients with CAA. RESULTS Patients with CAA had significantly lower pCbll-ScV compared with both HC (1.49±0.1 vs 1.73±0.2, p<0.001) and AD (1.49±0.1 vs 1.66±0.24, p<0.001) and lower pCbll-CV compared with HCs (6.03±0.5 vs 6.23±0.6, p=0.028). Diagnosis of CAA was independently associated with lower pCbll-ScV compared with HCs (p<0.001) and patients with AD (p<0.001) in separate linear regression models adjusted for age, sex and presence of hypertension. Lower pCbll-ScV was independently associated with worse gait velocity (β=0.736, 95% CI 0.28 to 1.19, p=0.002) in a stepwise linear regression analysis including pCbll-CV along with other relevant variables. INTERPRETATION Patients with CAA show more subcortical cerebellar atrophy than HC or patients with AD and more cortical cerebellar atrophy than HCs. Reduced pCbll-ScV correlated with lower gait velocity in regression models including other relevant variables. Overall, this study suggests that CAA causes cerebellar injury, which might contribute to gait disturbance.
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Affiliation(s)
- Mitchell J Horn
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Elif Gokcal
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Alex J Becker
- Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alvin S Das
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew D Warren
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Kristin Schwab
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Joshua N Goldstein
- Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alessandro Biffi
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan Rosand
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan R Polimeni
- Athinoula A Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA
| | - Anand Viswanathan
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M Greenberg
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - M Edip Gurol
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
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28
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Freeze WM, Zanon Zotin MC, Scherlek AA, Perosa V, Auger CA, Warren AD, van der Weerd L, Schoemaker D, Horn MJ, Gurol ME, Gokcal E, Bacskai BJ, Viswanathan A, Greenberg SM, Reijmer YD, van Veluw SJ. Corpus callosum lesions are associated with worse cognitive performance in cerebral amyloid angiopathy. Brain Commun 2022; 4:fcac105. [PMID: 35611313 PMCID: PMC9123849 DOI: 10.1093/braincomms/fcac105] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 02/20/2022] [Accepted: 04/21/2022] [Indexed: 11/19/2022] Open
Abstract
The impact of vascular lesions on cognition is location dependent. Here, we assessed the contribution of small vessel disease lesions in the corpus callosum to vascular cognitive impairment in cerebral amyloid angiopathy, as a model for cerebral small vessel disease. Sixty-five patients with probable cerebral amyloid angiopathy underwent 3T magnetic resonance imaging, including a diffusion tensor imaging scan, and neuropsychological testing. Microstructural white-matter integrity was quantified by fractional anisotropy and mean diffusivity. Z-scores on individual neuropsychological tests were averaged into five cognitive domains: information processing speed, executive functioning, memory, language and visuospatial ability. Corpus callosum lesions were defined as haemorrhagic (microbleeds or larger bleeds) or ischaemic (microinfarcts, larger infarcts and diffuse fluid-attenuated inversion recovery hyperintensities). Associations between corpus callosum lesion presence, microstructural white-matter integrity and cognitive performance were examined with multiple regression models. The prevalence of corpus callosum lesions was confirmed in an independent cohort of memory clinic patients with and without cerebral amyloid angiopathy (n = 82). In parallel, we assessed corpus callosum lesions on ex vivo magnetic resonance imaging in cerebral amyloid angiopathy patients (n = 19) and controls (n = 5) and determined associated tissue abnormalities with histopathology. A total number of 21 corpus callosum lesions was found in 19/65 (29%) cerebral amyloid angiopathy patients. Corpus callosum lesion presence was associated with reduced microstructural white-matter integrity within the corpus callosum and in the whole-brain white matter. Patients with corpus callosum lesions performed significantly worse on all cognitive domains except language, compared with those without corpus callosum lesions after correcting for age, sex, education and time between magnetic resonance imaging and neuropsychological assessment. This association was independent of the presence of intracerebral haemorrhage, whole-brain fractional anisotropy and mean diffusivity, and white-matter hyperintensity volume and brain volume for the domains of information processing speed and executive functioning. In the memory clinic patient cohort, corpus callosum lesions were present in 14/54 (26%) patients with probable and 2/8 (25%) patients with possible cerebral amyloid angiopathy, and in 3/20 (15%) patients without cerebral amyloid angiopathy. In the ex vivo cohort, corpus callosum lesions were present in 10/19 (53%) patients and 2/5 (40%) controls. On histopathology, ischaemic corpus callosum lesions were associated with tissue loss and demyelination, which extended beyond the lesion core. Together, these data suggest that corpus callosum lesions are a frequent finding in cerebral amyloid angiopathy, and that they independently contribute to cognitive impairment through strategic microstructural disruption of white-matter tracts.
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Affiliation(s)
- Whitney M. Freeze
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neuropsychology and Psychiatry, Maastricht University, Maastricht, The Netherlands
| | - Maria Clara Zanon Zotin
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, USP, SP, Brazil
| | - Ashley A. Scherlek
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Valentina Perosa
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Corinne A. Auger
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Andrew D. Warren
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Louise van der Weerd
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Mitchell J. Horn
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M. Edip Gurol
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Elif Gokcal
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Brian J. Bacskai
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Anand Viswanathan
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M. Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Yael D. Reijmer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Susanne J. van Veluw
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA 02129, USA
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29
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Cipriano L, Saracino D, Oliva M, Campana V, Puoti G, Conforti R, Fulgione L, Signoriello E, Bonavita S, Coppola C. Systematic Review on the Role of Lobar Cerebral Microbleeds in Cognition. J Alzheimers Dis 2022; 86:1025-1035. [PMID: 35180115 DOI: 10.3233/jad-215323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cerebral microbleeds (CMBs) are small round/oval lesions seen in MRI-specific sequences. They are divided in deep and lobar according to their location. Lobar CMBs (L-CMBs) are commonly associated with amyloid angiopathy. Although CMBs have been considered clinically silent for a long time, a growing body of evidence has shown that they could play a crucial role in cognitive functioning. OBJECTIVE The aim of this systematic review was to estimate the role of L-CMBs in cognitive performance. METHODS We selected, from the Cochrane Library, Embase, PubMed, and ScienceDirect databases, clinical studies, published from January 2000 to January 2020 and focused on the association between L-CMBs and cognitive functions. The inclusion criteria were: 1) participants grouped according to presence or absence of CMBs, 2) extensive neuropsychological examination, 3) CMBs differentiation according to topographical distribution, and 4) MRI-based CMB definition (< 10 mm and low signal in T2*/SWI). The impact of L-CMBs was separately assessed for executive functions, visuospatial skills, language, and memory. RESULTS Among 963 potentially eligible studies, six fulfilled the inclusion criteria. Four studies reported a greater reduction in executive performances in participants with L-CMB and two studies showed a statistically significant association between visuospatial dysfunction and L-CMBs. No association was found between hippocampal memory or language abilities and L-CMBs. CONCLUSION Lobar CMBs are associated with a reduction of processing speed and visuospatial performances, thus suggesting the contribution of vascular amyloid deposition to this cognitive profile. This occurrence enables us to suspect an underlying Alzheimer's disease pathology even in absence of typical hippocampal memory impairment.
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Affiliation(s)
- Lorenzo Cipriano
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Dario Saracino
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau (ICM), INSERM U1127, CNRS UMR 7225 - Aramis Project Team, Inria Research Center of Paris - Reference Center for Rare or Early Dementias, IM2A, Department of Neurology, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Mariano Oliva
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Vito Campana
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Gianfranco Puoti
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Renata Conforti
- Department of Medicine of Precision, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Ludovica Fulgione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Elisabetta Signoriello
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Cinzia Coppola
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
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30
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Vemuri P, Decarli CS, Duering M. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions. Stroke 2022; 53:416-426. [PMID: 35000423 PMCID: PMC8830603 DOI: 10.1161/strokeaha.120.032611] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cerebrovascular disease (CVD) manifests through a broad spectrum of mechanisms that negatively impact brain and cognitive health. Oftentimes, CVD changes (excluding acute stroke) are insufficiently considered in aging and dementia studies which can lead to an incomplete picture of the etiologies contributing to the burden of cognitive impairment. Our goal with this focused review is 3-fold. First, we provide a research update on the current magnetic resonance imaging methods that can measure CVD lesions as well as early CVD-related brain injury specifically related to small vessel disease. Second, we discuss the clinical implications and relevance of these CVD imaging markers for cognitive decline, incident dementia, and disease progression in Alzheimer disease, and Alzheimer-related dementias. Finally, we present our perspective on the outlook and challenges that remain in the field. With the increased research interest in this area, we believe that reliable CVD imaging biomarkers for aging and dementia studies are on the horizon.
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Affiliation(s)
| | - Charles S. Decarli
- Departments of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland
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van Veluw SJ, Arfanakis K, Schneider JA. Neuropathology of Vascular Brain Health: Insights From Ex Vivo Magnetic Resonance Imaging-Histopathology Studies in Cerebral Small Vessel Disease. Stroke 2022; 53:404-415. [PMID: 35000425 PMCID: PMC8830602 DOI: 10.1161/strokeaha.121.032608] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Sporadic cerebral small vessel disease (SVD) is a major contributor to vascular cognitive impairment and dementia in the aging human brain. On neuropathology, sporadic SVD is characterized by abnormalities to the small vessels of the brain predominantly in the form of cerebral amyloid angiopathy and arteriolosclerosis. These pathologies frequently coexist with Alzheimer disease changes, such as plaques and tangles, in a single brain. Conversely, during life, magnetic resonance imaging (MRI) only captures the larger manifestations of SVD in the form of parenchymal brain abnormalities. There appears to be a major knowledge gap regarding the underlying neuropathology of individual MRI-detectable SVD abnormalities. Ex vivo MRI in postmortem human brain tissue is a powerful tool to bridge this gap. This review summarizes current insights into the histopathologic correlations of MRI manifestations of SVD, their underlying cause, presumed pathophysiology, and associated secondary tissue injury. Moreover, we discuss the advantages and limitations of ex vivo MRI-guided histopathologic investigations and make recommendations for future studies.
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Affiliation(s)
- Susanne J. van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA,Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA,Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago IL, USA
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Li X, Yang S, Qin W, Yang L, Li Y, Hou Y, Huang Q, Hu W. Cerebral Microbleeds Were Related With Poor Cognitive Performances on the Dual Task Condition in Older Adults. Front Aging Neurosci 2022; 13:807753. [PMID: 35082660 PMCID: PMC8784411 DOI: 10.3389/fnagi.2021.807753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/17/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The dual task (DT) was commonly used to assess the risk of falls in older adults and patients with neurological disorders. However, the performance on DT conditions has not been well investigated in patients with cerebral microbleed (CMB). This study is aimed to compare the performance in DT tests between older adults with and without CMB, and to explore the association between CMB and cognitive performances of DT.Methods: This is a cross-sectional study. A total of 211 old adults participated, involving 68 CMB patients. The task protocol involved two global cognition tests, two single cognitive tests (serial 7 subtraction and semantic fluency), two single motor tasks [8-m walking and timed up and go test (TUG)], and three DT tests [walking and serial subtraction (WSS), walking and semantic fluency (WSF), and TUG and serial subtraction (TUGSS)]. The time taken to complete each task and the number of correct responses were recorded. For each DT condition, the correct response rate (CRR) and the dual-task effect (DTE) for the correct number were calculated.Results: Compared with subjects without CMB, CMB patients had worse cognitive performances on DT condition in CRR of WSS (p = 0.003), WSF (p = 0.030) and TUGSS (p = 0.006), and DTE of WSS (p = 0.017). Binary logistic regression analysis showed that the presence of CMB was an independent risk factor for the impairment group for CRR of TUGSS (OR, 2.54; 95% CI, 1.11–5.82; p = 0.027) with the adjustment for confounders, rather than CRR of WSS and WSF, or DTE of WSS. Multiple linear regression analysis showed that CRR of TUGSS decreased with the increase of CMB number grades (β, −0.144; 95% CI, −0.027, −0.002; p = 0.028).Conclusion: The present study indicated that CMBs were closely associated with poor cognitive performances on DT in the elderly. Strongest effect size was seen for CRR of TUGSS, where performance deficits increased in proportion to the degree of CMB burden.
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Samartsev I, Zhivolupov S, Efimtsev A, Ponomarev V. Analysis of the correlation between neuroimaging markers of the brain damage and the severity of postural instability in patients with chronic cerebrovascular insufficiency (NEMAN open observational study). Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:66-73. [DOI: 10.17116/jnevro202212207166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Rundek T, Tolea M, Ariko T, Fagerli EA, Camargo CJ. Vascular Cognitive Impairment (VCI). Neurotherapeutics 2022; 19:68-88. [PMID: 34939171 PMCID: PMC9130444 DOI: 10.1007/s13311-021-01170-y] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2021] [Indexed: 01/03/2023] Open
Abstract
Vascular cognitive impairment (VCI) is predominately caused by vascular risk factors and cerebrovascular disease. VCI includes a broad spectrum of cognitive disorders, from mild cognitive impairment to vascular dementia caused by ischemic or hemorrhagic stroke, and vascular factors alone or in a combination with neurodegeneration including Alzheimer's disease (AD) and AD-related dementia. VCI accounts for at least 20-40% of all dementia diagnosis. Growing evidence indicates that cerebrovascular pathology is the most important contributor to dementia, with additive or synergistic interactions with neurodegenerative pathology. The most common underlying mechanism of VCI is chronic age-related dysregulation of CBF, although other factors such as inflammation and cardiovascular dysfunction play a role. Vascular risk factors are prevalent in VCI and if measured in midlife they predict cognitive impairment and dementia in later life. Particularly, hypertension, high cholesterol, diabetes, and smoking at midlife are each associated with a 20 to 40% increased risk of dementia. Control of these risk factors including multimodality strategies with an inclusion of lifestyle modification is the most promising strategy for treatment and prevention of VCI. In this review, we present recent developments in age-related VCI, its mechanisms, diagnostic criteria, neuroimaging correlates, vascular risk determinants, and current intervention strategies for prevention and treatment of VCI. We have also summarized the most recent and relevant literature in the field of VCI.
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Affiliation(s)
- Tatjana Rundek
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Magdalena Tolea
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Taylor Ariko
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Eric A Fagerli
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christian J Camargo
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
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de Brito Robalo BM, Biessels GJ, Chen C, Dewenter A, Duering M, Hilal S, Koek HL, Kopczak A, Yin Ka Lam B, Leemans A, Mok V, Onkenhout LP, van den Brink H, de Luca A. Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease. Neuroimage Clin 2021; 32:102886. [PMID: 34911192 PMCID: PMC8609094 DOI: 10.1016/j.nicl.2021.102886] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/16/2021] [Indexed: 01/10/2023]
Abstract
OBJECTIVES Acquisition-related differences in diffusion magnetic resonance imaging (dMRI) hamper pooling of multicentre data to achieve large sample sizes. A promising solution is to harmonize the raw diffusion signal using rotation invariant spherical harmonic (RISH) features, but this has not been tested in elderly subjects. Here we aimed to establish if RISH harmonization effectively removes acquisition-related differences in multicentre dMRI of elderly subjects with cerebral small vessel disease (SVD), while preserving sensitivity to disease effects. METHODS Five cohorts of patients with SVD (N = 397) and elderly controls (N = 175) with 3 Tesla MRI on different systems were included. First, to establish effectiveness of harmonization, the RISH method was trained with data of 13 to 15 age and sex-matched controls from each site. Fractional anisotropy (FA) and mean diffusivity (MD) were compared in matched controls between sites using tract-based spatial statistics (TBSS) and voxel-wise analysis, before and after harmonization. Second, to assess sensitivity to disease effects, we examined whether the contrast (effect sizes of FA, MD and peak width of skeletonized MD - PSMD) between patients and controls within each site remained unaffected by harmonization. Finally, we evaluated the association between white matter hyperintensity (WMH) burden, FA, MD and PSMD using linear regression analyses both within individual cohorts as well as with pooled scans from multiple sites, before and after harmonization. RESULTS Before harmonization, significant differences in FA and MD were observed between matched controls of different sites (p < 0.05). After harmonization these site-differences were removed. Within each site, RISH harmonization did not alter the effect sizes of FA, MD and PSMD between patients and controls (relative change in Cohen's d = 4 %) nor the strength of association with WMH volume (relative change in R2 = 2.8 %). After harmonization, patient data of all sites could be aggregated in a single analysis to infer the association between WMH volume and FA (R2 = 0.62), MD (R2 = 0.64), and PSMD (R2 = 0.60). CONCLUSIONS We showed that RISH harmonization effectively removes acquisition-related differences in dMRI of elderly subjects while preserving sensitivity to SVD-related effects. This study provides proof of concept for future multicentre SVD studies with pooled datasets.
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Affiliation(s)
- Bruno M de Brito Robalo
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Christopher Chen
- Memory, Aging and Cognition Center, Department of Pharmacology, National University of Singapore, Singapore.
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany; Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
| | - Saima Hilal
- Memory, Aging and Cognition Center, Department of Pharmacology, National University of Singapore, Singapore.
| | - Huiberdina L Koek
- Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Anna Kopczak
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.
| | - Bonnie Yin Ka Lam
- Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
| | - Laurien P Onkenhout
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Hilde van den Brink
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Alberto de Luca
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
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Richards E, Tales A, Bayer A, Norris JE, Hanley CJ, Thornton IM. Reaction Time Decomposition as a Tool to Study Subcortical Ischemic Vascular Cognitive Impairment. J Alzheimers Dis Rep 2021; 5:625-636. [PMID: 34632300 PMCID: PMC8461746 DOI: 10.3233/adr-210029] [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] [Accepted: 07/05/2021] [Indexed: 12/01/2022] Open
Abstract
Background: The study of reaction time (RT) and its intraindividual variability (IIV) in aging, cognitive impairment, and dementia typically fails to investigate the processing stages that contribute to an overall response. Applying “mental chronometry” techniques makes it possible to separately assess the role of processing components during environmental interaction. Objective: To determine whether RT and IIV-decomposition techniques can shed light on the nature of underlying deficits in subcortical ischemic vascular cognitive impairment (VCI). Using a novel iPad task, we examined whether VCI deficits occur during both initiation and movement phases of a response, and whether they are equally reflected in both RT and IIV. Methods: Touch cancellation RT and its IIV were measured in a group of younger adults (n = 22), cognitively healthy older adults (n = 21), and patients with VCI (n = 21) using an iPad task. Results: Whereas cognitively healthy aging affected the speed (RT) of response initiation and movement but not its variability (IIV), VCI resulted in both slowed RT and increased IIV for both response phases. Furthermore, there were group differences with respect to response phase. Conclusion: These results indicate that IIV can be more sensitive than absolute RT in separating VCI from normal aging. Furthermore, compared to cognitively healthy aging, VCI was characterized by significant deficits in planning/initiating action as well as performing movements. Such deficits have important implications for real life actions such as driving safety, employment, and falls risk.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, Wales, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, Wales, UK
| | - Antony Bayer
- Division of Population Medicine, Cardiff University, Cardiff, Wales, UK
| | - Jade E Norris
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire J Hanley
- Department of Psychology, Swansea University, Swansea, Wales, UK
| | - Ian M Thornton
- Department of Cognitive Science, University of Malta, Malta
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Cai M, Jacob MA, Norris DG, de Leeuw FE, Tuladhar AM. Longitudinal relation between structural network efficiency, cognition, and gait in cerebral small vessel disease. J Gerontol A Biol Sci Med Sci 2021; 77:554-560. [PMID: 34459914 PMCID: PMC8893255 DOI: 10.1093/gerona/glab247] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Indexed: 12/03/2022] Open
Abstract
Background To investigate changes in gait performance over time and how these changes are associated with the decline in structural network efficiency and cognition in older patients with cerebral small vessel disease (SVD). Methods In a prospective, single-center cohort with 217 older participants with SVD, we performed 1.5T MRI scans, cognitive tests, and gait assessments evaluated by Timed UP and Go (TUG) test twice over 4 years. We reconstructed the white matter network for each subject based on diffusion tensor imaging tractography, followed by graph-theoretical analyses to compute the global efficiency. Conventional MRI markers for SVD, that is, white matter hyperintensity (WMH) volume, number of lacunes, and microbleeds, were assessed. Results Baseline global efficiency was not related to changes in gait performance, while decline in global efficiency over time was significantly associated with gait decline (ie, increase in TUG time), independent of conventional MRI markers for SVD. Neither baseline cognitive performance nor cognitive decline was associated with gait decline. Conclusions We found that disruption of the white matter structural network was associated with gait decline over time, while the effect of cognitive decline was not. This suggests that structural network disruption has an important role in explaining the pathophysiology of gait decline in older patients with SVD, independent of cognitive decline.
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Affiliation(s)
- Mengfei Cai
- Department of Neurology, Radboud University Medical Center; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen; The Netherlands
| | - Mina A Jacob
- Department of Neurology, Radboud University Medical Center; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen; The Netherlands
| | - David G Norris
- Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Medical Center; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen; The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Radboud University Medical Center; Donders Institute for Brain, Cognition, and Behaviour, Nijmegen; The Netherlands
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Su Y, Fu J, Zhang Y, Xu J, Dong Q, Cheng X. Visuospatial dysfunction is associated with posterior distribution of white matter damage in non-demented cerebral amyloid angiopathy. Eur J Neurol 2021; 28:3113-3120. [PMID: 34157199 DOI: 10.1111/ene.14993] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral amyloid angiopathy (CAA) is a well-recognized contributor to cognitive decline in the elderly. The posterior cortical predilection of CAA pathology would cause visuospatial dysfunction, which is still underexplored. We aimed to investigate whether the visuospatial dysfunction in CAA is associated with the posterior distribution of small vessel disease (SVD) imaging markers. METHODS We recruited 60 non-demented CAA cases from a Chinese prospective cohort and 30 cases with non-CAA SVD as controls. We used the Visual Object and Space Perception (VOSP) battery to evaluate visuospatial abilities, and multivariable regression models to assess their associations with SVD imaging markers. RESULTS There was visuospatial dysfunction, especially visual object perception impairment, in CAA compared to controls (Z-score of VOSP: -0.11 ± 0.66 vs. 0.22 ± 0.54, p = 0.023). The VOSP score in CAA was independently related to the fronto-occipital gradient of white matter hyperintensity volumes (coefficient = 0.03, 95% confidence interval [CI] = 0.003-0.05, p = 0.030) and mean fractional anisotropy values on diffusion tensor imaging (coefficient = 4.72, 95% CI = 0.97-8.48, p = 0.015), but not the severity of global SVD imaging markers or the gradient of lobar cerebral microbleeds with adjustments for age and global cognition score. CONCLUSIONS This finding suggests that the damage of posterior white matter rather than global disease severity may be a major contributor to visuospatial dysfunction in CAA.
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Affiliation(s)
- Ya Su
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiayu Fu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanrong Zhang
- Department of Nursing, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiajie Xu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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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 2021; 16:356-369. [PMID: 33252026 PMCID: PMC9097498 DOI: 10.1177/1747493020974464] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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Fotiadis P, Pasi M, Charidimou A, Warren AD, Schwab KM, Rosand J, van der Grond J, van Buchem MA, Viswanathan A, Gurol ME, Greenberg SM. Decreased Basal Ganglia Volume in Cerebral Amyloid Angiopathy. J Stroke 2021; 23:223-233. [PMID: 34102757 PMCID: PMC8189850 DOI: 10.5853/jos.2020.04280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/06/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Purpose Cerebral amyloid angiopathy (CAA) is a common pathology of the leptomeningeal and cortical small vessels associated with hemorrhagic and non-hemorrhagic brain injury. Given previous evidence for CAA-related loss of cortical thickness and white matter volume, we hypothesized that CAA might also cause tissue loss in the basal ganglia.
Methods We compared basal ganglia volumes expressed as a percentage of total intracranial volume (pBGV) of non-demented patients with sporadic and hereditary CAA to age-matched healthy control (HC) and Alzheimer’s disease (AD) cohorts.
Results Patients with sporadic CAA had lower pBGV (n=80, 1.16%±0.14%) compared to HC (n=80, 1.30%±0.13%, P<0.0001) and AD patients (n=80, 1.23%±0.11%, P=0.001). Similarly, patients with hereditary CAA demonstrated lower pBGV (n=25, 1.26%±0.17%) compared to their matched HC (n=25, 1.36%±0.15%, P=0.036). Using a measurement of normalized basal ganglia width developed for analysis of clinical-grade magnetic resonance images, we found smaller basal ganglia width in patients with CAA-related lobar intracerebral hemorrhage (ICH; n=93, 12.35±1.47) compared to age-matched patients with hypertension-related deep ICH (n=93, 13.46±1.51, P<0.0001) or HC (n=93, 15.45±1.22, P<0.0001). Within the sporadic CAA research cohort, decreased basal ganglia volume was independently correlated with greater cortical gray matter atrophy (r=0.45, P<0.0001), increased basal ganglia fractional anisotropy (r=–0.36, P=0.001), and worse performance on language processing (r=0.35, P=0.003), but not with cognitive tests of executive function or processing speed.
Conclusions These findings suggest an independent effect of CAA on basal ganglia tissue loss, indicating a novel mechanism for CAA-related brain injury and neurologic dysfunction.
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Affiliation(s)
- Panagiotis Fotiadis
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marco Pasi
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Stroke Unit, Department of Neurology, University of Lille, INSERM U1171, CHU Lille, Lille, France
| | - Andreas Charidimou
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew D Warren
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kristin M Schwab
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Jonathan Rosand
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Anand Viswanathan
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - M Edip Gurol
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, J.P. Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Chou KH, Lee PL, Peng LN, Lee WJ, Wang PN, Chen LK, Lin CP, Chung CP. Classification differentiates clinical and neuroanatomic features of cerebral small vessel disease. Brain Commun 2021; 3:fcab107. [PMID: 34131645 PMCID: PMC8196251 DOI: 10.1093/braincomms/fcab107] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 04/13/2021] [Accepted: 04/26/2021] [Indexed: 11/13/2022] Open
Abstract
Age-related cerebral small vessel disease involves heterogeneous pathogenesis, such as arteriosclerosis/lipohyalinosis and cerebral amyloid angiopathy. MRI can visualize the brain lesions attributable to small vessel disease pathologies, including white-matter hyperintensities, lacune and cerebral microbleeds. However, these MRI markers usually coexist in small vessel disease of different aetiologies. Currently, there is no available classification integrating these neuroimaging markers for differentiating clinical and neuroanatomic features of small vessel disease yet. In this study, we tested whether our proposed stratification scheme could characterize specific clinical, neuroanatomic and potentially pathogenesis/aetiologies in classified small vessel disease subtypes. Cross-sectional analyses from a community-based non-demented non-stroke cohort consisting of ≥50 years old individuals were conducted. All participants were scanned 3T brain MRI for small vessel disease detection and neuroanatomic measurements and underwent physical and cognitive assessments. Study population were classified into robust and four small vessel disease groups based on imaging markers indicating (i) bleeding or non-bleeding; (ii) specific location of cerebral microbleeds; and (iii) the severity and combination of white-matter hyperintensities and lacune. We used whole-brain voxel-based morphometry analyses and tract-based spatial statistics to evaluate the regional grey-matter volume and white-matter microstructure integrity for comparisons among groups. Among the 735 participants with eligible brain MRI images, quality screening qualified 670 for grey-matter volume analyses and 617 for white-matter microstructural analyses. Common and distinct patterns of the clinical and neuroimaging manifestations were found in the stratified four small vessel disease subgroups. Hierarchical clustering analysis revealed that small vessel disease type 4 had features distinct from the small vessel disease types 1, 2 and 3. Abnormal white-matter microstructures and cognitive function but preserved physical function and grey-matter volume were found in small vessel disease type 4. Among small vessel disease types 1, 2 and 3, there were similar characteristics but different severity; the clinical features showed both physical frail and cognitive impairment and the neuroanatomic features revealed frontal–subcortical white-matter microstructures and remote, diffuse cortical abnormalities. This novel stratification scheme highlights the distinct clinical and neuroanatomic features of small vessel disease and the possible underlying pathogenesis. It could have potential application in research and clinical settings.
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Affiliation(s)
- Kun-Hsien Chou
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan
| | - Pei-Lin Lee
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan
| | - Li-Ning Peng
- Department of Neurology in School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Wei-Ju Lee
- Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yi-Lan 264, Taiwan
| | - Pei-Ning Wang
- Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Department of Neurology in School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan
| | - Chih-Ping Chung
- Department of Neurology in School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei 112, Taiwan.,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei 112, Taiwan
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42
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Banerjee G, Ambler G, Keshavan A, Paterson RW, Foiani MS, Toombs J, Heslegrave A, Dickson JC, Fraioli F, Groves AM, Lunn MP, Fox NC, Zetterberg H, Schott JM, Werring DJ. Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy. J Alzheimers Dis 2021; 74:1189-1201. [PMID: 32176643 PMCID: PMC7242825 DOI: 10.3233/jad-191254] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: There is limited data on cerebrospinal fluid (CSF) biomarkers in sporadic amyloid-β (Aβ) cerebral amyloid angiopathy (CAA). Objective: To determine the profile of biomarkers relevant to neurodegenerative disease in the CSF of patients with CAA. Methods: We performed a detailed comparison of CSF markers, comparing patients with CAA, Alzheimer’s disease (AD), and control (CS) participants, recruited from the Biomarkers and Outcomes in CAA (BOCAA) study, and a Specialist Cognitive Disorders Service. Results: We included 10 CAA, 20 AD, and 10 CS participants (mean age 68.6, 62.5, and 62.2 years, respectively). In unadjusted analyses, CAA patients had a distinctive CSF biomarker profile, with significantly lower (p < 0.01) median concentrations of Aβ38, Aβ40, Aβ42, sAβPPα, and sAβPPβ. CAA patients had higher levels of neurofilament light (NFL) than the CS group (p < 0.01), but there were no significant differences in CSF total tau, phospho-tau, soluble TREM2 (sTREM2), or neurogranin concentrations. AD patients had higher total tau, phospho-tau and neurogranin than CS and CAA groups. In age-adjusted analyses, differences for the CAA group remained for Aβ38, Aβ40, Aβ42, and sAβPPβ. Comparing CAA patients with amyloid-PET positive (n = 5) and negative (n = 5) scans, PET positive individuals had lower (p < 0.05) concentrations of CSF Aβ42, and higher total tau, phospho-tau, NFL, and neurogranin concentrations, consistent with an “AD-like” profile. Conclusion: CAA has a characteristic biomarker profile, suggestive of a global, rather than selective, accumulation of amyloid species; we also provide evidence of different phenotypes according to amyloid-PET positivity. Further replication and validation of these preliminary findings in larger cohorts is needed.
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Affiliation(s)
- Gargi Banerjee
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, Gower Street, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Ross W Paterson
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martha S Foiani
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Jamie Toombs
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Amanda Heslegrave
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - John C Dickson
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Francesco Fraioli
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Ashley M Groves
- Institute of Nuclear Medicine, UCL and University College Hospital, London, UK
| | - Michael P Lunn
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,MRC Centre for Neuromuscular Disease, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
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43
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Lee H, Xu F, Liu X, Koundal S, Zhu X, Davis J, Yanez D, Schrader J, Stanisavljevic A, Rothman DL, Wardlaw J, Van Nostrand WE, Benveniste H. Diffuse white matter loss in a transgenic rat model of cerebral amyloid angiopathy. J Cereb Blood Flow Metab 2021; 41:1103-1118. [PMID: 32791876 PMCID: PMC8054716 DOI: 10.1177/0271678x20944226] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Diffuse white matter (WM) disease is highly prevalent in elderly with cerebral small vessel disease (cSVD). In humans, cSVD such as cerebral amyloid angiopathy (CAA) often coexists with Alzheimer's disease imposing a significant impediment for characterizing their distinct effects on WM. Here we studied the burden of age-related CAA pathology on WM disease in a novel transgenic rat model of CAA type 1 (rTg-DI). A cohort of rTg-DI and wild-type rats was scanned longitudinally using MRI for characterization of morphometry, cerebral microbleeds (CMB) and WM integrity. In rTg-DI rats, a distinct pattern of WM loss was observed at 9 M and 11 M. MRI also revealed manifestation of small CMB in thalamus at 6 M, which preceded WM loss and progressively enlarged until the moribund disease stage. Histology revealed myelin loss in the corpus callosum and thalamic CMB in all rTg-DI rats, the latter of which manifested in close proximity to occluded and calcified microvessels. The quantitation of CAA load in rTg-DI rats revealed that the most extensive microvascular Aβ deposition occurred in the thalamus. For the first time using in vivo MRI, we show that CAA type 1 pathology alone is associated with a distinct pattern of WM loss.
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Affiliation(s)
- Hedok Lee
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Feng Xu
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - Xiaodan Liu
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Sunil Koundal
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Xiaoyue Zhu
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - Judianne Davis
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - David Yanez
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Joseph Schrader
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - Aleksandra Stanisavljevic
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - Douglas L Rothman
- Departments of Radiology and Biomedical Imaging, Yale School of Medicine New Haven, CT, USA.,Department of Biomedical Engineering, Yale School of Medicine New Haven, CT, USA
| | - Joanna Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - William E Van Nostrand
- George and Anne Ryan Institute for Neuroscience and the Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, RI, USA
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.,Department of Biomedical Engineering, Yale School of Medicine New Haven, CT, USA
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44
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Cognition mediates the relation between structural network efficiency and gait in small vessel disease. NEUROIMAGE-CLINICAL 2021; 30:102667. [PMID: 33887698 PMCID: PMC8082689 DOI: 10.1016/j.nicl.2021.102667] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 03/22/2021] [Accepted: 04/06/2021] [Indexed: 01/05/2023]
Abstract
Cerebral small vessel disease (SVD), including white matter hyperintensities (WMH), microbleeds, lacunes, was related to gait disturbances, while the underlying mechanism is unclear. Here, we investigated the relation between structural network efficiency, cognition and gait performance in 272 elderly subjects with SVD. All participants underwent 1.5 T MRI, gait and neuropsychological assessment. Conventional MRI markers for SVD, i.e. WMH volume, number of lacunes and microbleeds, were assessed. Diffusion tensor imaging-based tractography was used to reconstruct the brain network for each individual, followed by graph-theoretical analyses to compute the well-established network measure, global efficiency. We found that lower global efficiency was associated with worse gait performance, including slower gait speed and shorter stride length, independent of conventional MRI markers for SVD. This association was partly mediated via cognitive function. We identified subnetworks of white matter connections associated with gait and cognition, characterized by dominant involvement of frontal tracts. Our findings suggest that network disruption is associated with gait disturbances through cognitive dysfunction in elderly with SVD. Gait is a highly cognitive process and the crucial role of cognition should be considered when investigating gait disturbances in the elderly with SVD.
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45
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Frey BM, Petersen M, Schlemm E, Mayer C, Hanning U, Engelke K, Fiehler J, Borof K, Jagodzinski A, Gerloff C, Thomalla G, Cheng B. White matter integrity and structural brain network topology in cerebral small vessel disease: The Hamburg city health study. Hum Brain Mapp 2021; 42:1406-1415. [PMID: 33289924 PMCID: PMC7927298 DOI: 10.1002/hbm.25301] [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: 04/05/2020] [Revised: 11/08/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022] Open
Abstract
Cerebral small vessel disease is a common finding in the elderly and associated with various clinical sequelae. Previous studies suggest disturbances in the integration capabilities of structural brain networks as a mediating link between imaging and clinical presentations. To what extent cerebral small vessel disease might interfere with other measures of global network topology is not well understood. Connectomes were reconstructed via diffusion weighted imaging in a sample of 930 participants from a population based epidemiologic study. Linear models were fitted testing for an association of graph-theoretical measures reflecting integration and segregation with both the Peak width of Skeletonized Mean Diffusivity (PSMD) and the load of white matter hyperintensities of presumed vascular origin (WMH). The latter were subdivided in periventricular and deep for an analysis of localisation-dependent correlations of cerebral small vessel disease. The median WMH volume was 0.6 mL (1.4) and the median PSMD 2.18 mm2 /s x 10-4 (0.5). The connectomes showed a median density of 0.880 (0.030), the median values for normalised global efficiency, normalised clustering coefficient, modularity Q and small-world propensity were 0.780 (0.045), 1.182 (0.034), 0.593 (0.026) and 0.876 (0.040) respectively. An increasing burden of cerebral small vessel disease was significantly associated with a decreased integration and increased segregation and thus decreased small-worldness of structural brain networks. Even in rather healthy subjects increased cerebral small vessel disease burden is accompanied by topological brain network disturbances. Segregation parameters and small-worldness might as well contribute to the understanding of the known clinical sequelae of cerebral small vessel disease.
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Affiliation(s)
- Benedikt M. Frey
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marvin Petersen
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Eckhard Schlemm
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Carola Mayer
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Uta Hanning
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Kristin Engelke
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Katrin Borof
- Epidemiological study centerUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Annika Jagodzinski
- Epidemiological study centerUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Department of General and Interventional CardiologyUniversity Heart and Vascular CenterHamburgGermany
| | - Christian Gerloff
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Götz Thomalla
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Bastian Cheng
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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46
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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: 85] [Impact Index Per Article: 28.3] [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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47
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Raposo N, Zanon Zotin MC, Schoemaker D, Xiong L, Fotiadis P, Charidimou A, Pasi M, Boulouis G, Schwab K, Schirmer MD, Etherton MR, Gurol ME, Greenberg SM, Duering M, Viswanathan A. Peak Width of Skeletonized Mean Diffusivity as Neuroimaging Biomarker in Cerebral Amyloid Angiopathy. AJNR Am J Neuroradiol 2021; 42:875-881. [PMID: 33664113 DOI: 10.3174/ajnr.a7042] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 11/20/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Whole-brain network connectivity has been shown to be a useful biomarker of cerebral amyloid angiopathy and related cognitive impairment. We evaluated an automated DTI-based method, peak width of skeletonized mean diffusivity, in cerebral amyloid angiopathy, together with its association with conventional MRI markers and cognitive functions. MATERIALS AND METHODS We included 24 subjects (mean age, 74.7 [SD, 6.0] years) with probable cerebral amyloid angiopathy and mild cognitive impairment and 62 patients with MCI not attributable to cerebral amyloid angiopathy (non-cerebral amyloid angiopathy-mild cognitive impairment). We compared peak width of skeletonized mean diffusivity between subjects with cerebral amyloid angiopathy-mild cognitive impairment and non-cerebral amyloid angiopathy-mild cognitive impairment and explored its associations with cognitive functions and conventional markers of cerebral small-vessel disease, using linear regression models. RESULTS Subjects with Cerebral amyloid angiopathy-mild cognitive impairment showed increased peak width of skeletonized mean diffusivity in comparison to those with non-cerebral amyloid angiopathy-mild cognitive impairment (P < .001). Peak width of skeletonized mean diffusivity values were correlated with the volume of white matter hyperintensities in both groups. Higher peak width of skeletonized mean diffusivity was associated with worse performance in processing speed among patients with cerebral amyloid angiopathy, after adjusting for other MRI markers of cerebral small vessel disease. The peak width of skeletonized mean diffusivity did not correlate with cognitive functions among those with non-cerebral amyloid angiopathy-mild cognitive impairment. CONCLUSIONS Peak width of skeletonized mean diffusivity is altered in cerebral amyloid angiopathy and is associated with performance in processing speed. This DTI-based method may reflect the degree of white matter structural disruption in cerebral amyloid angiopathy and could be a useful biomarker for cognition in this population.
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Affiliation(s)
- N Raposo
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts .,Department of Neurology (N.R.), Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center (N.R.), Université de Toulouse, Institut National de la Santé et de la Recherche Médicale, Toulouse, UPS, France
| | - M C Zanon Zotin
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Center for Imaging Sciences and Medical Physics (M.C.Z.Z.). Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil;, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - D Schoemaker
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - L Xiong
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - P Fotiadis
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - A Charidimou
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - M Pasi
- Department of Neurology (M.P.), Centre Hospitalier Universitaire de Lille, Lille, France
| | - G Boulouis
- Department of Neuroradiology (G.B.), Centre Hospitalier Sainte-Anne, Université Paris-Descartes, Paris, France
| | - K Schwab
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - M D Schirmer
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Computer Science and Artificial Intelligence Lab (M.D.S.), Massachusetts Institute of Technology, Boston, Massachusetts.,Department of Population Health Sciences (M.D.S.), German Center for Neurodegenerative Diseases, Bonn, Germany
| | - M R Etherton
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - M E Gurol
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - S M Greenberg
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - M Duering
- Medical Image Analysis Center and Quantitative Biomedical Imaging Group (M.D.), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - A Viswanathan
- From the Stroke Research Center (N.R., M.C.Z.Z., D.S., L.X., P.F., A.C., K.S., M.D.S., M.R.E., M.E.G., S.M.G., A.V.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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48
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Lee WJ, Yoon CW, Kim SW, Jeong HJ, Seo S, Na DL, Noh Y, Seong JK. Effects of Alzheimer's and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer's Disease. Front Neurosci 2021; 15:606600. [PMID: 33664644 PMCID: PMC7921324 DOI: 10.3389/fnins.2021.606600] [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: 09/15/2020] [Accepted: 01/11/2021] [Indexed: 11/13/2022] Open
Abstract
Early- and late-onset Alzheimer's disease (AD) patients often exhibit distinct features. We sought to compare overall white matter connectivity and evaluate the pathological factors (amyloid, tau, and vascular pathologies) that affect the disruption of connectivity in these two groups. A total of 50 early- and 38 late-onset AD patients, as well as age-matched cognitively normal participants, were enrolled and underwent diffusion-weighted magnetic resonance imaging to construct fractional anisotropy-weighted white matter connectivity maps. [18F]-THK5351 PET, [18F]-Flutemetamol PET, and magnetic resonance imaging were used for the evaluation of tau and related astrogliosis, amyloid, and small vessel disease markers (lacunes and white matter hyperintensities). Cluster-based statistics was performed for connectivity comparisons and correlation analysis between connectivity disruption and the pathological markers. Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns. Only THK retention was related to connectivity disruption in early-onset AD patients, and this disruption showed correlations with most cognitive scores, while late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes in which only a few cognitive scores showed associations. These findings suggest that the pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.
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Affiliation(s)
- Wha Jin Lee
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Cindy W Yoon
- Department of Neurology, School of Medicine, Inha University, Incheon, South Korea
| | - Sung-Woo Kim
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Hye Jin Jeong
- Neuroscience Research Institute, Gachon University, Incheon, South Korea
| | - Seongho Seo
- Department of Neuroscience, College of Medicine, Gachon University, Incheon, South Korea.,Department of Electronic Engineering, Pai Chai University, Daejeon, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Young Noh
- Department of Neurology, Gil Medical Center, College of Medicine, Gachon University, Incheon, South Korea.,Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology (GAIHST), Gachon University, Incheon, South Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, South Korea.,Department of Artificial Intelligence, Korea University, Seoul, South Korea.,Interdisciplinary Program in Precision Public Health, Korea University, Seoul, South Korea
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Abrahamson EE, Stehouwer JS, Vazquez AL, Huang GF, Mason NS, Lopresti BJ, Klunk WE, Mathis CA, Ikonomovic MD. Development of a PET radioligand selective for cerebral amyloid angiopathy. Nucl Med Biol 2021; 92:85-96. [PMID: 32471773 PMCID: PMC8788879 DOI: 10.1016/j.nucmedbio.2020.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 05/02/2020] [Accepted: 05/05/2020] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Positron emission tomography (PET) using radiolabeled amyloid-binding compounds has advanced the field of Alzheimer's disease (AD) by enabling detection and longitudinal tracking of fibrillar amyloid-β (Aβ) deposits in living people. However, this technique cannot distinguish between Aβ deposits in brain parenchyma (amyloid plaques) from those in blood vessels (cerebral amyloid angiopathy, CAA). Development of a PET radioligand capable of selectively detecting CAA would help clarify its contribution to global brain amyloidosis and clinical symptoms in AD and would help to characterize side-effects of anti-Aβ immunotherapies in AD patients, such as CAA. METHODS A candidate CAA-selective compound (1) from a panel of analogues of the amyloid-binding dye Congo red was synthesized. The binding affinity to Aβ fibrils and lipophilicity of compound 1 were determined and selectivity for CAA versus parenchymal plaque deposits was assessed ex-vivo and in-vivo in transgenic APP/PS1 mice and in postmortem human brain affected with AD pathology. RESULTS Compound 1 displays characteristics of Aβ binding dyes, such as thioflavin-S, in that it labels both parenchymal Aβ plaques and CAA when applied to histological sections from both a transgenic APP/PS1 mouse model of Aβ amyloidosis and AD brain. Thus, compound 1 lacks molecular selectivity to distinguish Aβ deposits in CAA from those in plaques. However, when administered to living APP/PS1 mice intravenously, compound 1 preferentially labels CAA when assessed using in-vivo two-photon microscopy and ex-vivo histology and autoradiography. CONCLUSION We hypothesize that selectivity of compound 1 for CAA is attributable to its limited penetration of the blood-brain barrier due to the highly polar nature of the carboxylate moiety, thereby limiting access to parenchymal plaques and promoting selective in-vivo labeling of Aβ deposits in the vascular wall (i.e., "delivery selectivity").
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Affiliation(s)
- Eric E Abrahamson
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | | | - Alberto L Vazquez
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Guo-Feng Huang
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - N Scott Mason
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brian J Lopresti
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William E Klunk
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chester A Mathis
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Milos D Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA.
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Cerebral amyloid angiopathy is associated with decreased functional brain connectivity. NEUROIMAGE-CLINICAL 2020; 29:102546. [PMID: 33421870 PMCID: PMC7806879 DOI: 10.1016/j.nicl.2020.102546] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/20/2020] [Accepted: 12/20/2020] [Indexed: 01/23/2023]
Abstract
Cerebral amyloid angiopathy (CAA) is a major cause of intracerebral hemorrhage and neurological decline in the elderly. CAA results in focal brain lesions, but the influence on global brain functioning needs further investigation. Here we study functional brain connectivity in patients with Dutch type hereditary CAA using resting state functional MRI. Twenty-four DNA-proven Dutch CAA mutation carriers (11 presymptomatic, 13 symptomatic) and 29 age-matched control subjects were included. Using a set of standardized networks covering the entire cortex, we assessed both within- and between-network functional connectivity. We investigated group differences using general linear models corrected for age, sex and gray matter volume. First, all mutation carriers were contrasted against control subjects and subsequently presymptomatic- and symptomatic mutation carriers against control subjects separately, to assess in which stage of the disease differences could be found. All mutation carriers grouped together showed decreased connectivity in the medial and lateral visual networks, default mode network, executive control and bilateral frontoparietal networks. Symptomatic carriers showed diminished connectivity in all but one network, and between the left and right frontoparietal networks. Presymptomatic carriers also showed diminished connectivity, but only in the frontoparietal left network. In conclusion, global brain functioning is diminished in patients with CAA, predominantly in symptomatic CAA and can therefore be considered to be a late consequence of the disease.
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