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van Dinther M, Voorter PHM, Zhang E, van Kuijk SMJ, Jansen JFA, van Oostenbrugge RJ, Backes WH, Staals J. The neurovascular unit and its correlation with cognitive performance in patients with cerebral small vessel disease: a canonical correlation analysis approach. GeroScience 2024; 46:5061-5073. [PMID: 38888875 PMCID: PMC11335703 DOI: 10.1007/s11357-024-01235-8] [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: 09/29/2023] [Accepted: 05/31/2024] [Indexed: 06/20/2024] Open
Abstract
Growing evidence indicates an important role of neurovascular unit (NVU) dysfunction in the pathophysiology of cerebral small vessel disease (cSVD). Individually measurable functions of the NVU have been correlated with cognitive function, but a combined analysis is lacking. We aimed to perform a unified analysis of NVU function and its relation with cognitive performance. The relationship between NVU function in the white matter and cognitive performance (both latent variables composed of multiple measurable variables) was investigated in 73 patients with cSVD (mean age 70 ± 10 years, 41% women) using canonical correlation analysis. MRI-based NVU function measures included (1) the intravoxel incoherent motion derived perfusion volume fraction (f) and microvascular diffusivity (D*), reflecting cerebral microvascular flow; (2) the IVIM derived intermediate volume fraction (fint), indicative of the perivascular clearance system; and (3) the dynamic contrast-enhanced MRI derived blood-brain barrier (BBB) leakage rate (Ki) and leakage volume fraction (VL), reflecting BBB integrity. Cognitive performance was composed of 13 cognitive test scores. Canonical correlation analysis revealed a strong correlation between the latent variables NVU function and cognitive performance (r 0.73; p = 0.02). For the NVU, the dominating variables were D*, fint, and Ki. Cognitive performance was driven by multiple cognitive tests comprising different cognitive domains. The functionality of the NVU is correlated with cognitive performance in cSVD. Instead of focusing on individual pathophysiological mechanisms, future studies should target NVU dysfunction as a whole to acquire a coherent understanding of the complex disease mechanisms that occur in the NVU in cSVD.Trial registration: NTR3786 (Dutch Trial Register).
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Affiliation(s)
- Maud van Dinther
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.
- CARIM-School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.
| | - Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- MHeNs-School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Eleana Zhang
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Sander M J van Kuijk
- Department of Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- MHeNs-School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
- CARIM-School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
- MHeNs-School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Walter H Backes
- CARIM-School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- MHeNs-School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
- CARIM-School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
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Libecap TJ, Pappas CA, Bauer CE, Zachariou V, Raslau FD, Gold BT. Enlarged perivascular space burden predicts declines in cognitive and functional performance. J Neurol Sci 2024; 466:123232. [PMID: 39298972 DOI: 10.1016/j.jns.2024.123232] [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: 03/14/2024] [Revised: 09/07/2024] [Accepted: 09/08/2024] [Indexed: 09/22/2024]
Abstract
INTRODUCTION We evaluated the relationship between baseline enlarged perivascular space (ePVS) burden and later cognitive decline. METHODS 83 community-dwelling, older adults (aged 56-86) completed three annual cognitive assessments that included the Clinical Dementia Rating (CDR®) Dementia Staging Instrument Sum of Boxes (CDR-SB) and composite measures of executive function and episodic memory. An MRI scan at baseline was used to count ePVS in the basal ganglia and centrum semiovale. Mixed effects models were run with ePVS as the predictor variable and cognitive measures as the dependent variable. Covariates included age, sex, education, cerebral small vessel disease (cSVD) risk factors, and cSVD neuroimaging biomarkers. RESULTS At baseline, high basal ganglia ePVS counts were associated with lower executive function scores and episodic memory scores. Moreover, baseline basal ganglia ePVS predicted worse longitudinal CDR-SB scores over the study period. DISCUSSION Basal ganglia ePVS burden is a promising biomarker for cSVD-related cognitive and functional decline.
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Affiliation(s)
- T J Libecap
- MD/PhD Program, University of Kentucky College of Medicine, Lexington, KY, USA; Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Colleen A Pappas
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Christopher E Bauer
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Valentinos Zachariou
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Flavius D Raslau
- Department of Radiology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Brian T Gold
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA; Department of Radiology, University of Kentucky College of Medicine, Lexington, KY, USA; Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging University of Kentucky, Lexington, KY, USA.
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Karkoska KA, Gollamudi J, Sawyer RP, Woo D, Hyacinth HI. Quantifying dilated perivascular spaces in children with sickle cell disease. Pediatr Blood Cancer 2024; 71:e31150. [PMID: 38953143 PMCID: PMC11327878 DOI: 10.1002/pbc.31150] [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: 04/02/2024] [Revised: 05/16/2024] [Accepted: 06/03/2024] [Indexed: 07/03/2024]
Abstract
Sickle cell disease (SCD)-related neurological effects are particularly devastating. Dilated perivascular spaces (dPVS) are a well-described component of cerebral small vessel disease in older adults without SCD. However, the burden and association of dPVS with neurological complications in children with SCD have not been described. In this study, we used the international consensus criteria to quantify dPVS in the centrum semiovale and basal ganglia in T2-weighted magnetic resonance images (MRI) of children with SCD who were randomized as part of the Silent Cerebral Infarct Transfusion (SIT) trial. We examined the relationship between global and/or regional dPVS burden and presence or area of silent cerebral infarctions, hematological measures, demographic variables, and full-scale intelligence quotient (FSIQ) scores. The study included 156 SIT trial participants who had pre-randomization and study exit MRI. Their median age was 9.6 (5-15) years, 39% were female, and 94 (60%) participants had a high dPVS burden. Participants randomized to the blood transfusion arm and who had a high dPVS burden at baseline had a moderate decline in dPVS score over 36 months compared to no change in the observation group. On multivariable logistic regression, intelligence quotient was not associated with dPVS burden. Children with SCD included in the SIT trial have a high burden of dPVS compared to children without SCD. However, dPVS do not appear to have the same pathophysiology of silent cerebral infarcts. Further study is needed to determine both their etiology and clinical relevance.
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Affiliation(s)
- Kristine A Karkoska
- Division of Hematology/Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jahnavi Gollamudi
- Division of Hematology/Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Russell P Sawyer
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Hyacinth I Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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Waymont JMJ, Valdés Hernández MDC, Bernal J, Duarte Coello R, Brown R, Chappell FM, Ballerini L, Wardlaw JM. Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. Neuroimage 2024; 297:120685. [PMID: 38914212 DOI: 10.1016/j.neuroimage.2024.120685] [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: 03/18/2024] [Revised: 05/20/2024] [Accepted: 06/10/2024] [Indexed: 06/26/2024] Open
Abstract
Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators. With the establishment of worldwide consortia and the availability of large databases, computational methods that allow to automatically process all this wealth of information are becoming increasingly relevant. Several computational approaches have been proposed to assess PVS from MRI, and efforts have been made to summarise and appraise the most widely applied ones. We systematically reviewed and meta-analysed all publications available up to September 2023 describing the development, improvement, or application of computational PVS quantification methods from MRI. We analysed 67 approaches and 60 applications of their implementation, from 112 publications. The two most widely applied were the use of a morphological filter to enhance PVS-like structures, with Frangi being the choice preferred by most, and the use of a U-Net configuration with or without residual connections. Older adults or population studies comprising adults from 18 years old onwards were, overall, more frequent than studies using clinical samples. PVS were mainly assessed from T2-weighted MRI acquired in 1.5T and/or 3T scanners, although combinations using it with T1-weighted and FLAIR images were also abundant. Common associations researched included age, sex, hypertension, diabetes, white matter hyperintensities, sleep and cognition, with occupation-related, ethnicity, and genetic/hereditable traits being also explored. Despite promising improvements to overcome barriers such as noise and differentiation from other confounds, a need for joined efforts for a wider testing and increasing availability of the most promising methods is now paramount.
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Affiliation(s)
- Jennifer M J Waymont
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK.
| | - José Bernal
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK; German Centre for Neurodegenerative Diseases (DZNE), Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany
| | - Roberto Duarte Coello
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | | | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
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5
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Liu L, Tu L, Shen Q, Bao Y, Xu F, Zhang D, Xu Y. Meta-analysis of the relationship between the number and location of perivascular spaces in the brain and cognitive function. Neurol Sci 2024; 45:3743-3755. [PMID: 38459400 DOI: 10.1007/s10072-024-07438-3] [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: 10/23/2023] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Cerebral perivascular spaces are part of the cerebral microvascular structure and play a role in lymphatic drainage and the removal of waste products from the brain. Relationships of the number and location of such spaces with cognition are unclear. OBJECTIVE To meta-analyze available data on potential associations of severity and location of perivascular spaces with cognitive performance. METHODS We searched PubMed, EMBASE, Web of Science and the Cochrane Central Registry of Controlled Trials for relevant studies published between January 2000 and July 2023. Performance on different cognitive domains was compared to the severity of perivascular spaces in different brain regions using comprehensive meta-analysis. When studies report unadjusted and adjusted means, we use adjusted means for meta-analysis. The study protocol is registered in the PROSPERO database (CRD42023443460). RESULTS We meta-analyzed data from 26 cross-sectional studies and two longitudinal studies involving 7908 participants. In most studies perivascular spaces was using a visual rating scale. A higher number of basal ganglia perivascular spaces was linked to lower general intelligence and attention. Moreover, increased centrum semiovale perivascular spaces were associated with worse general intelligence, executive function, language, and memory. Conversely, higher hippocampus perivascular spaces were associated with enhanced memory and executive function. Subgroup analyses revealed variations in associations among different disease conditions. CONCLUSIONS A higher quantity of perivascular spaces in the brain is correlated with impaired cognitive function. The location of these perivascular spaces and the underlying disease conditions may influence the specific cognitive domains that are affected. SYSTEMATIC REVIEW REGISTRATION The study protocol has been registered in the PROSPERO database (CRD42023443460).
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Affiliation(s)
- Ling Liu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Liangdan Tu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiuyan Shen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi Bao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Fang Xu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Dan Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanming Xu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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6
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Latzer IT, Yang E, Afacan O, Arning E, Rotenberg A, Lee HHC, Roullet JB, Pearl PL. Glymphatic dysfunction coincides with lower GABA levels and sleep disturbances in succinic semialdehyde dehydrogenase deficiency. J Sleep Res 2024; 33:e14105. [PMID: 38148273 PMCID: PMC11199373 DOI: 10.1111/jsr.14105] [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: 06/26/2023] [Revised: 10/02/2023] [Accepted: 11/02/2023] [Indexed: 12/28/2023]
Abstract
Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder of γ-aminobutyrate (GABA) catabolism. Cerebral waste clearance along glymphatic perivascular spaces depends on aquaporin 4 (AQP4) water channels, the function of which was shown to be influenced by GABA. Sleep disturbances are associated independently with SSADHD and glymphatic dysfunction. This study aimed to determine whether indices of the hyperGABAergic state characteristic of SSADHD coincide with glymphatic dysfunction and sleep disturbances and to explicate the modulatory effect that GABA may have on the glymphatic system. The study included 42 individuals (21 with SSADHD; 21 healthy controls) who underwent brain MRIs and magnetic resonance spectroscopy (MRS) for assessment of glymphatic dysfunction and cortical GABA, plasma GABA measurements, and circadian clock gene expression. The SSADHD subjects responded to an additional Children's Sleep Habits Questionnaire (CSHQ). Compared with the control group, SSADHD subjects did not differ in sex and age but had a higher severity of enlarged perivascular spaces in the centrum semiovale (p < 0.001), basal ganglia (p = 0.01), and midbrain (p = 0.001), as well as a higher MRS-derived GABA/NAA peak (p < 0.001). Within the SSADHD group, the severity of glymphatic dysfunction was specific for a lower MRS-derived GABA/NAA (p = 0.04) and lower plasma GABA (p = 0.004). Additionally, the degree of their glymphatic dysfunction correlated with the CSHQ-estimated sleep disturbances scores (R = 5.18, p = 0.03). In the control group, EPVS burden did not correlate with age or cerebral and plasma GABA values. The modulatory effect that GABA may exert on the glymphatic system has therapeutic implications for sleep-related disorders and neurodegenerative conditions associated with glymphatic dysfunction.
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Affiliation(s)
- Itay Tokatly Latzer
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - Edward Yang
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Onur Afacan
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Erland Arning
- Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, Texas, USA
| | - Alexander Rotenberg
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Henry H C Lee
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, MA 02115, USA
| | - Jean-Baptiste Roullet
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Phillip L. Pearl
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
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7
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Jung LB, Wiegand TLT, Tuz-Zahra F, Tripodis Y, Iliff JJ, Piantino J, Arciniega H, Kim CL, Pankatz L, Bouix S, Lin AP, Alosco ML, Daneshvar DH, Mez J, Sepehrband F, Rathi Y, Pasternak O, Coleman MJ, Adler CH, Bernick C, Balcer L, Cummings JL, Reiman EM, Stern RA, Shenton ME, Koerte IK. Repetitive Head Impacts and Perivascular Space Volume in Former American Football Players. JAMA Netw Open 2024; 7:e2428687. [PMID: 39186275 DOI: 10.1001/jamanetworkopen.2024.28687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open
Abstract
Importance Exposure to repetitive head impacts (RHI) is associated with increased risk for neurodegeneration. Accumulation of toxic proteins due to impaired brain clearance is suspected to play a role. Objective To investigate whether perivascular space (PVS) volume is associated with lifetime exposure to RHI in individuals at risk for RHI-associated neurodegeneration. Design, Setting, and Participants This cross-sectional study was part of the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of Chronic Traumatic Encephalopathy (DIAGNOSE CTE) Research Project, a 7-year multicenter study consisting of 4 US study sites. Data were collected from September 2016 to February 2020 and analyses were performed between May 2021 and October 2023. After controlling for magnetic resonance image (MRI) and processing quality, former American football players and unexposed asymptomatic control participants were included in analyses. Exposure Prior exposure to RHI while participating in American football was estimated using the 3 cumulative head impact indices (CHII-G, linear acceleration; CHII-R, rotational acceleration; and CHII, number of head impacts). Main Outcomes and Measures Individual PVS volume was calculated in the white matter of structural MRI. Cognitive impairment was based on neuropsychological assessment. Linear regression models were used to assess associations of PVS volume with neuropsychological assessments in former American football players. All analyses were adjusted for confounders associated with PVS volume. Results Analyses included 224 participants (median [IQR] age, 57 [51-65] years), with 170 male former football players (114 former professional athletes, 56 former collegiate athletes) and 54 male unexposed control participants. Former football players had larger PVS volume compared with the unexposed group (mean difference, 0.28 [95% CI, 0.00-0.56]; P = .05). Within the football group, PVS volume was associated with higher CHII-R (β = 2.71 × 10-8 [95% CI, 0.50 × 10-8 to 4.93 × 10-8]; P = .03) and CHII-G (β = 2.24 × 10-6 [95% CI, 0.35 × 10-6 to 4.13 × 10-6]; P = .03). Larger PVS volume was also associated with worse performance on cognitive functioning in former American football players (β = -0.74 [95% CI, -1.35 to -0.13]; P = .04). Conclusions and Relevance These findings suggest that impaired perivascular brain clearance, as indicated by larger PVS volume, may contribute to the association observed between RHI exposure and neurodegeneration.
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Affiliation(s)
- Leonard B Jung
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Tim L T Wiegand
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Fatima Tuz-Zahra
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University School of Medicine, Boston, Massachusetts
| | - Jeffrey J Iliff
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle
- Department of Neurology, University of Washington School of Medicine, Seattle
- VISN 20 Northwest Network Mental Illness Research, Education and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington
| | - Juan Piantino
- Department of Pediatrics, Division of Child Neurology, Doernbecher Children's Hospital, Oregon Health and Science University, Portland
| | - Hector Arciniega
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Rehabilitation Medicine, NYU Grossman School of Medicine, New York, New York
| | - Cara L Kim
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Lara Pankatz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Département de génie logiciel et TI, École de technologie supérieure, Université du Québec, Montreal, Canada
| | - Alexander P Lin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Farshid Sepehrband
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael J Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona Scottsdale, Arizona
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada
| | - Laura Balcer
- Department of Neurology, NYU Grossman School of Medicine, New York, New York
- Department of Population Health, NYU Grossman School of Medicine, New York, New York
- Department of Ophthalmology, NYU Grossman School of Medicine, New York, New York
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Pam Quirk Brain Health and Biomarker Laboratory, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas
| | - Eric M Reiman
- Banner Alzheimer's Institute, University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix
| | - Robert A Stern
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, Massachusetts
- Department of Neurosurgery, Boston University School of Medicine, Boston, Massachusetts
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
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8
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Muir RT, Smith EE. The Spectrum of Cerebral Small Vessel Disease: Emerging Pathophysiologic Constructs and Management Strategies. Neurol Clin 2024; 42:663-688. [PMID: 38937035 DOI: 10.1016/j.ncl.2024.03.003] [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: 06/29/2024]
Abstract
Cerebral small vessel disease (CSVD) is a spectrum of disorders that affect small arterioles, venules, cortical and leptomeningeal vessels, perivascular spaces, and the integrity of neurovascular unit, blood brain barrier, and surrounding glia and neurons. CSVD is an important cause of lacunar ischemic stroke and sporadic hemorrhagic stroke, as well as dementia-which will constitute some of the most substantive population and public health challenges over the next century. This article provides an overview of updated pathophysiologic frameworks of CSVD; discusses common and underappreciated clinical and neuroimaging manifestations of CSVD; and reviews emerging genetic risk factors linked to sporadic CSVD.
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Affiliation(s)
- Ryan T Muir
- Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Eric E Smith
- Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada.
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Andriuta D, Ottoy J, Ruthirakuhan M, Feliciano G, Dilliott AA, Hegele RA, Gao F, McLaughlin PM, Rabin JS, Wood Alexander M, Scott CJM, Yhap V, Berezuk C, Ozzoude M, Swardfager W, Zebarth J, Tartaglia MC, Rogaeva E, Tang‐Wai DF, Casaubon L, Kumar S, Dowlatshahi D, Mandzia J, Sahlas D, Saposnik G, Fischer CE, Borrie M, Hassan A, Binns MA, Freedman M, Chertkow H, Finger E, Frank A, Bartha R, Symons S, Zetterberg H, Swartz RH, Masellis M, Black SE, Ramirez J. Perivascular spaces, plasma GFAP, and speeded executive function in neurodegenerative diseases. Alzheimers Dement 2024; 20:5800-5808. [PMID: 38961774 PMCID: PMC11350014 DOI: 10.1002/alz.14081] [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: 03/14/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 07/05/2024]
Abstract
INTRODUCTION We investigated the effect of perivascular spaces (PVS) volume on speeded executive function (sEF), as mediated by white matter hyperintensities (WMH) volume and plasma glial fibrillary acidic protein (GFAP) in neurodegenerative diseases. METHODS A mediation analysis was performed to assess the relationship between neuroimaging markers and plasma biomarkers on sEF in 333 participants clinically diagnosed with Alzheimer's disease/mild cognitive impairment, frontotemporal dementia, or cerebrovascular disease from the Ontario Neurodegenerative Disease Research Initiative. RESULTS PVS was significantly associated with sEF (c = -0.125 ± 0.054, 95% bootstrap confidence interval [CI] [-0.2309, -0.0189], p = 0.021). This effect was mediated by both GFAP and WMH. DISCUSSION In this unique clinical cohort of neurodegenerative diseases, we demonstrated that the effect of PVS on sEF was mediated by the presence of elevated plasma GFAP and white matter disease. These findings highlight the potential utility of imaging and plasma biomarkers in the current landscape of therapeutics targeting dementia. HIGHLIGHTS Perivascular spaces (PVS) and white matter hyperintensities (WMH) are imaging markers of small vessel disease. Plasma glial fibrillary protein acidic protein (GFAP) is a biomarker of astroglial injury. PVS, WMH, and GFAP are relevant in executive dysfunction from neurodegeneration. PVS's effect on executive function was mediated by GFAP and white matter disease.
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Affiliation(s)
- Daniela Andriuta
- Department of NeurologyAmiens University Medical CenterAmiensFrance
- Laboratoire de Neurosciences Fonctionnelles et Pathologies (UR UPJV 4559)Jules Verne University of PicardyAmiensFrance
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Julie Ottoy
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Myuri Ruthirakuhan
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Ginelle Feliciano
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Allison A. Dilliott
- Department of Neurology and NeurosurgeryMontreal Neurological Institute and Hospital, McGill UniversityMontréalQuebecCanada
| | - Robert A. Hegele
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Fuqiang Gao
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | | | - Jennifer S. Rabin
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Harquail Centre for NeuromodulationSunnybrook Research InstituteTorontoOntarioCanada
- Rehabilitation Sciences InstituteUniversity of TorontoTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Madeline Wood Alexander
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Rehabilitation Sciences InstituteUniversity of TorontoTorontoOntarioCanada
| | - Christopher J. M. Scott
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Vanessa Yhap
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Courtney Berezuk
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Miracle Ozzoude
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Walter Swardfager
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Julia Zebarth
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - M. Carmela Tartaglia
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | - David F. Tang‐Wai
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Leanne Casaubon
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Sanjeev Kumar
- Department of PsychiatryAdult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Dar Dowlatshahi
- University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research InstituteOttawaOntarioCanada
| | - Jennifer Mandzia
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Demetrios Sahlas
- Division of NeurologyDepartment of MedicineHamilton Health Sciences, McMaster UniversityHamiltonOntarioCanada
| | - Gustavo Saposnik
- Li Ka Shing Knowledge Institute, and Division of NeurologyDepartment of MedicineSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
| | - Corinne E. Fischer
- Li Ka Shing Knowledge Institute, and Division of NeurologyDepartment of MedicineSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
- Keenan Research Centre for Biomedical ScienceSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
| | - Michael Borrie
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Ayman Hassan
- Division of NeurologyDepartment of MedicineHamilton Health Sciences, McMaster UniversityHamiltonOntarioCanada
- Thunder Bay Regional Health Research InstituteThunder BayOntarioCanada
| | - Malcolm A. Binns
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
- Division of BiostatisticsDalla Lana School of Public HealthTorontoOntarioCanada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
| | - Howard Chertkow
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
| | - Elizabeth Finger
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Andrew Frank
- University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research InstituteOttawaOntarioCanada
- Bruyère Research InstituteOttawaOntarioCanada
| | - Robert Bartha
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Sean Symons
- Department of Medical ImagingSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen Square, UK Dementia Research Institute at UCLLondonUK
| | - Richard H. Swartz
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Graduate Department of Psychological Clinical ScienceUniversity of Toronto ScarboroughTorontoOntarioCanada
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Lei H, Wu X, Ambler G, Werring D, Fang S, Lin H, Huang H, Liu N, Du H. Association between Perivascular Spaces Burden and Future Stroke Risk in Ischemic Stroke and Transient Ischemic Attack: A Systematic Review and Meta-Analysis. Eur Neurol 2024; 87:130-139. [PMID: 38981445 DOI: 10.1159/000539730] [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: 01/30/2024] [Accepted: 06/05/2024] [Indexed: 07/11/2024]
Abstract
INTRODUCTION This meta-analysis aimed to explore the association of perivascular spaces (PVS) burden with the risks of future stroke events and mortality in patients with ischemic stroke and transient ischemic attack (TIA). METHODS We systematically searched PubMed, Embase, and Cochrane database from inception to December 31, 2023. We included eligible studies that reported adjusted estimated effects for future intracranial hemorrhage (ICH), ischemic stroke, and mortality with baseline PVS burden in patients with ischemic stroke and TIA. Data were pooled using an inverse-variance method for the fixed effects (FE) model and a restricted maximum likelihood method for the random effects (RE) model. RESULTS Thirteen observational studies (5 prospective, 8 retrospective) were included, comprising 20,256 patients. Compared to 0-10 PVS at basal ganglia (BG-PVS), a higher burden (>10) of BG-PVS was significantly associated with an increased risk of future ICH (adjusted hazards ratio [aHR] 2.79, 95% confidence interval [CI]: 1.16-6.73, RE model; aHR 2.14, 95% CI: 1.34-3.41, FE model; I2 = 64%, n = 17,084 from four studies) followed up for at least 1 year. There was no significant association between >10 BG-PVS and ICH within 7 days after reperfusion therapy (adjusted odds ratio [aOR] 1.69, 95% CI: 0.74-3.88, RE model; aOR 1.43, 95% CI: 0.89-2.88, FE model; I2 = 67%, n = 1,176 from four studies). We did not detect a significant association of recurrent ischemic stroke, mortality, or disability with BG-PVS burden. Neither >10 PVS at centrum semiovale (CSO-PVS) nor increasing CSO-PVS burden was significantly associated with the risk of future intracranial hemorrhage or ischemic stroke recurrence. CONCLUSIONS Current evidence suggests that a higher BG-PVS burden may be associated with an increased risk of future ICH in patients with ischemic stroke and TIA.
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Affiliation(s)
- Hanhan Lei
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
| | - Xiaomin Wu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, UK
| | - David Werring
- Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK
| | - Shuangfang Fang
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
| | - Huiyin Lin
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
| | - Huapin Huang
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
| | - Nan Liu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Rehabilitation Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Houwei Du
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Precision Diagnosis and Treatment of Neurological Diseases of Fujian Province, Fuzhou, China
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Wei W, Ma D, Li L, Zhang L. Cognitive impairment in cerebral small vessel disease induced by hypertension. Neural Regen Res 2024; 19:1454-1462. [PMID: 38051887 PMCID: PMC10883517 DOI: 10.4103/1673-5374.385841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/22/2023] [Indexed: 12/07/2023] Open
Abstract
ABSTRACT Hypertension is a primary risk factor for the progression of cognitive impairment caused by cerebral small vessel disease, the most common cerebrovascular disease. However, the causal relationship between hypertension and cerebral small vessel disease remains unclear. Hypertension has substantial negative impacts on brain health and is recognized as a risk factor for cerebrovascular disease. Chronic hypertension and lifestyle factors are associated with risks for stroke and dementia, and cerebral small vessel disease can cause dementia and stroke. Hypertension is the main driver of cerebral small vessel disease, which changes the structure and function of cerebral vessels via various mechanisms and leads to lacunar infarction, leukoaraiosis, white matter lesions, and intracerebral hemorrhage, ultimately resulting in cognitive decline and demonstrating that the brain is the target organ of hypertension. This review updates our understanding of the pathogenesis of hypertension-induced cerebral small vessel disease and the resulting changes in brain structure and function and declines in cognitive ability. We also discuss drugs to treat cerebral small vessel disease and cognitive impairment.
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Affiliation(s)
- Weipeng Wei
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center; Beijing Engineering Research Center for Nervous System Drugs; National Center for Neurological Disorders; National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Denglei Ma
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center; Beijing Engineering Research Center for Nervous System Drugs; National Center for Neurological Disorders; National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Lin Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center; Beijing Engineering Research Center for Nervous System Drugs; National Center for Neurological Disorders; National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center; Beijing Engineering Research Center for Nervous System Drugs; National Center for Neurological Disorders; National Clinical Research Center for Geriatric Diseases, Beijing, China
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12
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Zhao M, Li Y, Han X, Li C, Wang P, Wang J, Hou T, Wang Y, Cong L, Wardlaw JM, Launer LJ, Song L, Du Y, Qiu C. Association of enlarged perivascular spaces with cognitive function in dementia-free older adults: A population-based study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12618. [PMID: 39045142 PMCID: PMC11264110 DOI: 10.1002/dad2.12618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 06/07/2024] [Accepted: 06/13/2024] [Indexed: 07/25/2024]
Abstract
Introduction We sought to characterize cognitive profiles associated with enlarged perivascular spaces (EPVS) among Chinese older adults. Methods This population-based study included 1191 dementia-free participants (age ≥60 years) in the MIND-China MRI Substudy (2018-2020). We visually evaluated EPVS in basal ganglia (BG) and centrum semiovale (CSO), white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and cortical superficial siderosis. We used a neuropsychological test battery to assess cognitive function. Data were analyzed using general linear models. Results Greater BG-EPVS load was associated with lower z-scores in memory, verbal fluency, and global cognition (p < 0.05); these associations became non-significant when controlling for other cerebral small vessel disease (CSVD) markers (e.g., WMHs, lacunes, and mixed CMBs). Overall, CSO-EPVS load was not associated with cognitive z-scores (p > 0.05); among apolipoprotein E (APOE) -ε4 carriers, greater CSO-EPVS load was associated with lower verbal fluency z-score, even when controlling for other CSVD markers (p < 0.05). Discussion The associations of BG-EPVS with poor cognitive function in older adults are largely attributable to other CSVD markers. HIGHLIGHTS The association of enlarged perivascular spaces (EPVS) with cognitive function in older people is poorly defined.The association of basal ganglia (BG)-EPVS with poor cognition is attributed to other cerebral small vessel disease (CSVD) markers.In apolipoprotein E (APOE) ε4 carriers, a higher centrum semiovale (CSO)-EPVS load is associated with poorer verbal fluency.
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Affiliation(s)
- Mingqing Zhao
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Department of NeurologyXuanwu Hospital Capital Medical University Jinan BranchJinanShandongP. R. China
| | - Yuanjing Li
- Aging Research CenterDepartment of Neurobiology, Care Sciences and SocietyKarolinska Institutet‐Stockholm UniversitySolnaSweden
| | - Xiaodong Han
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Chunyan Li
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
| | - Pin Wang
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Jiafeng Wang
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Tingting Hou
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Yongxiang Wang
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Aging Research CenterDepartment of Neurobiology, Care Sciences and SocietyKarolinska Institutet‐Stockholm UniversitySolnaSweden
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
- Institute of Brain Science and Brain‐Inspired ResearchShandong First Medical University & Shandong Academy of Medical SciencesJinanShandongP. R. China
| | - Lin Cong
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Joanna M. Wardlaw
- Centre for Clinical Brain SciencesUK Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research ProgramNational Institute on Aging, National Institutes of HealthBaltimoreMarylandUSA
| | - Lin Song
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
| | - Yifeng Du
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
- Institute of Brain Science and Brain‐Inspired ResearchShandong First Medical University & Shandong Academy of Medical SciencesJinanShandongP. R. China
| | - Chengxuan Qiu
- Department of NeurologyShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanShandongP. R. China
- Aging Research CenterDepartment of Neurobiology, Care Sciences and SocietyKarolinska Institutet‐Stockholm UniversitySolnaSweden
- Department of NeurologyShandong Provincial HospitalShandong UniversityJinanShandongP. R. China
- Institute of Brain Science and Brain‐Inspired ResearchShandong First Medical University & Shandong Academy of Medical SciencesJinanShandongP. R. China
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Ishikawa T, Sato T, Okumura M, Kokubu T, Takahashi J, Kitagawa T, Tanabe M, Takatsu H, Onda A, Komatsu T, Sakuta K, Sakai K, Umehara T, Mitsumura H, Iguchi Y. Bathing-Related Ischemic Stroke: Association between Stroke Subtype and Cerebral Small Vessel Disease. J Atheroscler Thromb 2024:64933. [PMID: 38825505 DOI: 10.5551/jat.64933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2024] Open
Abstract
AIMS Bathing-related ischemic stroke (BIS) is sometimes fatal. However, its mechanisms and risk factors remain unclear. We aimed to identify the incidence of stroke subtypes in BIS, and clarify the impact of cerebral small vessel disease (CSVD) on BIS. METHODS Consecutive patients with ischemic stroke between October 2012 and February 2022 were retrospectively screened. The inclusion criteria were: 1) onset-to-door time within 7 days; and 2) availability of the results of MRI evaluation of CSVD markers during hospitalization. BIS was defined as an ischemic stroke that occurred while or shortly after bathing. We investigated the incidence of the stroke subtype and the correlation between CSVD markers and BIS. RESULTS 1,753 ischemic stroke patients (1,241 [71%] male, median age 69 years) were included. 57 patients (3%) were included in the BIS group. A higher frequency of large artery atherosclerosis (LAA) (prevalence ratio [PR] 2.069, 95% confidence interval [CI] 1.089 to 3.931, p=0.026) and lower frequency of cardio-embolism (CES) (PR 0.362, 95% CI 0.132 to 0.991, p=0.048) in BIS cases were identified. Moreover, lower periventricular hyperintensity (PVH) Fazekas grade (PR 0.671, 95% CI 0.472 to 0.956, p=0.027) and fewer cerebral microbleeds (CMBs) in deep brain region (PR 0.810, 95%CI 0.657 to 0.999, p=0.049) were associated with BIS cases. CONCLUSIONS The BIS group was more likely to develop LAA and less likely to develop CES. Lower PVH grade and fewer CMBs in deep brain region were associated with the development of BIS.
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Affiliation(s)
| | - Takeo Sato
- Department of Neurology, The Jikei University School of Medicine
| | - Motohiro Okumura
- Department of Neurology, The Jikei University School of Medicine
| | - Tatsushi Kokubu
- Department of Neurology, The Jikei University School of Medicine
| | | | | | - Maki Tanabe
- Department of Neurology, The Jikei University School of Medicine
| | - Hiroki Takatsu
- Department of Neurology, The Jikei University School of Medicine
| | - Asako Onda
- Department of Neurology, The Jikei University School of Medicine
| | - Teppei Komatsu
- Department of Neurology, The Jikei University School of Medicine
| | - Kenichi Sakuta
- Department of Neurology, The Jikei University School of Medicine
| | - Kenichiro Sakai
- Department of Neurology, The Jikei University School of Medicine
| | - Tadashi Umehara
- Department of Neurology, The Jikei University School of Medicine
| | | | - Yasuyuki Iguchi
- Department of Neurology, The Jikei University School of Medicine
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Haldar P, Tripathi M, Prasad K, Kant S, Dwivedi SN, Vibha D, Pandit AK, Srivastava AK, Kumar A, Ikram MA, Henning T. Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India. Sleep Breath 2024; 28:975-987. [PMID: 38055152 DOI: 10.1007/s11325-023-02953-7] [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: 09/04/2023] [Revised: 10/28/2023] [Accepted: 11/20/2023] [Indexed: 12/07/2023]
Abstract
INTRODUCTION Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.
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Affiliation(s)
- Partha Haldar
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Kameshwar Prasad
- Rajendra Institute of Medical Sciences, Ranchi, 834009, Jharkhand, India.
| | - Shashi Kant
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sada Nand Dwivedi
- Formerly at: Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Deepti Vibha
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Awadh Kishor Pandit
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Amit Kumar
- Rajendra Institute of Medical Sciences, Ranchi, 834009, Jharkhand, India
| | - MArfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tiemeier Henning
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Gogniat MA, Khan OA, Bown CW, Liu D, Pechman KR, Taylor Davis L, Gifford KA, Landman BA, Hohman TJ, Jefferson AL. Perivascular space burden interacts with APOE-ε4 status on cognition in older adults. Neurobiol Aging 2024; 136:1-8. [PMID: 38280312 PMCID: PMC11384903 DOI: 10.1016/j.neurobiolaging.2024.01.002] [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: 03/02/2023] [Revised: 12/19/2023] [Accepted: 01/04/2024] [Indexed: 01/29/2024]
Abstract
Enlarged perivascular spaces (ePVS) may adversely affect cognition. Little is known about how basal ganglia ePVS interact with apolipoprotein (APOE)-ε4 status. Vanderbilt Memory and Aging Project participants (n = 326, 73 ± 7, 59% male) underwent 3 T brain MRI at baseline to assess ePVS and longitudinal neuropsychological assessments. The interaction between ePVS volume and APOE-ε4 carrier status was related to baseline outcomes using ordinary least squares regressions and longitudinal cognition using linear mixed-effects regressions. ePVS volume interacted with APOE-ε4 status on cross-sectional naming performance (β = -0.002, p = 0.002), and executive function excluding outliers (β = 0.001, p = 0.009). There were no significant longitudinal interactions (p-values>0.10) except for Coding excluding outliers (β = 0.002, p = 0.05). While cross-sectional models stratified by APOE-ε4 status indicated greater ePVS related to worse cognition mostly in APOE-ε4 carriers, longitudinal models stratified by APOE-ε4 status showed greater ePVS volume related to worse cognition among APOE-ε4 non-carriers only. Results indicated that greater ePVS volume interacts with APOE-ε4 status on cognition cross-sectionally. Longitudinally, the association of greater ePVS volume and worse cognition appears stronger in APOE-ε4 non-carriers, possibly due to the deleterious effects of APOE-ε4 on cognition across the lifespan.
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Affiliation(s)
- Marissa A Gogniat
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Omair A Khan
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Corey W Bown
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kimberly R Pechman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Taylor Davis
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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16
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Hong H, Tozer DJ, Markus HS. Relationship of Perivascular Space Markers With Incident Dementia in Cerebral Small Vessel Disease. Stroke 2024; 55:1032-1040. [PMID: 38465597 PMCID: PMC10962441 DOI: 10.1161/strokeaha.123.045857] [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: 11/14/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Recent studies, using diffusion tensor image analysis along the perivascular space (DTI-ALPS), suggest impaired perivascular space (PVS) function in cerebral small vessel disease, but they were cross-sectional, making inferences on causality difficult. We determined associations between impaired PVS, measured using DTI-ALPS and PVS volume, and cognition and incident dementia. METHODS In patients with lacunar stroke and confluent white matter hyperintensities, without dementia at baseline, recruited prospectively in a single center, magnetic resonance imaging was performed annually for 3 years, and cognitive assessments, including global, memory, executive function, and processing speed, were performed annually for 5 years. We determined associations between DTI-ALPS and PVS volume with cerebral small vessel disease imaging markers (white matter hyperintensity volume, lacunes, and microbleeds) at baseline and with changes in imaging markers. We determined whether DTI-ALPS and PVS volume at baseline and change over 3 years predicted incident dementia. Analyses were controlled for conventional diffusion tensor image metrics using 2 markers (median mean diffusivity [MD] and peak width of skeletonized MD) and adjusted for age, sex, and vascular risk factors. RESULTS A total of 120 patients, mean age 70.0 years and 65.0% male, were included. DTI-ALPS declined over 3 years, while no change in PVS volume was found. Neither DTI-ALPS nor PVS volume was associated with cerebral small vessel disease imaging marker progression. Baseline DTI-ALPS was associated with changes in global cognition (β=0.142, P=0.032), executive function (β=0.287, P=0.027), and long-term memory (β=0.228, P=0.027). Higher DTI-ALPS at baseline predicted a lower risk of dementia (hazard ratio, 0.328 [0.183-0.588]; P<0.001), and this remained significant after including median MD as a covariate (hazard ratio, 0.290 [0.139-0.602]; P<0.001). Change in DTI-ALPS predicted dementia conversion (hazard ratio, 0.630 [0.428-0.964]; P=0.048), but when peak width of skeletonized MD and median MD were entered as covariates, the association was not significant. There was no association between baseline PVS volume, or PVS change over 3 years, and conversion to dementia. CONCLUSIONS DTI-ALPS predicts future dementia risk in patients with lacunar strokes and confluent white matter hyperintensities. However, the weakening of the association between change in DTI-ALPS and incident dementia after controlling for peak width of skeletonized MD and median MD suggests part of the signal may represent conventional diffusion tensor image metrics. PVS volume is not a predictor of future dementia risk.
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Affiliation(s)
- Hui Hong
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China (H.H.)
| | - Daniel J. Tozer
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
| | - Hugh S. Markus
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
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Duarte Coello R, Valdés Hernández MDC, Zwanenburg JJM, van der Velden M, Kuijf HJ, De Luca A, Moyano JB, Ballerini L, Chappell FM, Brown R, Jan Biessels G, Wardlaw JM. Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. J Neurosci Methods 2024; 403:110039. [PMID: 38128784 DOI: 10.1016/j.jneumeth.2023.110039] [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: 07/25/2023] [Revised: 11/27/2023] [Accepted: 12/17/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Magnetic Resonance Imaging (MRI) visible perivascular spaces (PVS) have been associated with age, decline in cognitive abilities, interrupted sleep, and markers of small vessel disease. But the limits of validity of their quantification have not been established. NEW METHOD We use a purpose-built digital reference object to construct an in-silico phantom for addressing this need, and validate it using a physical phantom. We use cylinders of different sizes as models for PVS. We also evaluate the influence of 'PVS' orientation, and different sets of parameters of the two vesselness filters that have been used for enhancing tubular structures, namely Frangi and RORPO filters, in the measurements' accuracy. RESULTS PVS measurements in MRI are only a proxy of their true dimensions, as the boundaries of their representation are consistently overestimated. The success in the use of the Frangi filter relies on a careful tuning of several parameters. Alpha= 0.5, beta= 0.5 and c= 500 yielded the best results. RORPO does not have these requirements and allows detecting smaller cylinders in their entirety more consistently in the absence of noise and confounding artefacts. The Frangi filter seems to be best suited for voxel sizes equal or larger than 0.4 mm-isotropic and cylinders larger than 1 mm diameter and 2 mm length. 'PVS' orientation did not affect measurements in data with isotropic voxels. COMPARISON WITH EXISTENT METHODS Does not apply. CONCLUSIONS The in-silico and physical phantoms presented are useful for establishing the validity of quantification methods of tubular small structures.
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Affiliation(s)
- Roberto Duarte Coello
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK.
| | | | | | - Hugo J Kuijf
- Image Sciences Institute, UMC Utrecht, Utrecht, Netherlands
| | | | - José Bernal Moyano
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; German Centre for Neurodegenerative Diseases, Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; University for Foreigner of Perugia, Perugia, Italy
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
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18
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Wang J, Chen T, Xie J, Zhao S, Jiang Y, Zhang H, Zhu W. A bibliometric analysis of international publication trends in brain atrophy research (2008-2023). Front Neurol 2024; 15:1348778. [PMID: 38356880 PMCID: PMC10864491 DOI: 10.3389/fneur.2024.1348778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Background Brain atrophy is a type of neurological and psychiatric disorder characterized by a decrease in brain tissue volume and weight for various reasons and can have a serious impact on the quality of life of patients. Although there are many studies on brain atrophy, there is a lack of relevant bibliometric studies. Therefore, this study aims to provide a visual analysis of global trends in brain atrophy research over the past 16 years. Methods CiteSpace and VOSviewer were used to visually analyze publication output, scientific collaborations, cocitations, publishing journals, and keywords to determine the current status and future trends of brain atrophy research. Materials published from 2008 to 2023 were collected from the Web of Science Core Collection (WoSCC) database. This study placed no restrictions on the types of literature and focused on English language publications. Results A total of 3,371 publications were included in the analysis. From 2008 to 2023, the number of publications increased annually. In terms of national and academic institutions, universities in the United States and University College London rank first in publication out. Barkhof Frederik and Zivadinov Robert are the most prolific researchers in this field. The publication with the highest cocitation strength is "Deep gray matter volume loss drives disability worsening in multiple sclerosis." Keyword clustering analysis showed that "Alzheimer's disease" and "multiple sclerosis" are current popular topics. The analysis of emergent words indicates that "cerebral small vessel disease," "neurodegeneration," and "cortex/gray matter volume" may become hot research topics in the coming years. Conclusion This study analyses papers on brain atrophy from the past 16 years, providing a new perspective for research in this field. In the past 16 years, research on brain atrophy has received increasing attention. The quality of articles in this field is generally high. Extensive national cooperation already exists. The statistical results indicate that a stable core author group in the field of brain atrophy has almost formed.
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Affiliation(s)
- Juwei Wang
- Zhejiang Chinese Medical University, Department of Graduate College, Hangzhou, China
| | - Tingting Chen
- Zhejiang Chinese Medical University, Department of Graduate College, Hangzhou, China
| | - Jiayi Xie
- Zhejiang Chinese Medical University, Department of Graduate College, Hangzhou, China
| | - Sheng Zhao
- Zhejiang Chinese Medical University, Department of Graduate College, Hangzhou, China
| | - Yue Jiang
- Department of Acupuncture, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Huihe Zhang
- Department of Neurology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou, China
| | - Wenzong Zhu
- Department of Neurology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang Chinese Medical University, Wenzhou, China
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19
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Parillo M, Vaccarino F, Di Gennaro G, Kumar S, Van Goethem J, Beomonte Zobel B, Quattrocchi CC, Parizel PM, Mallio CA. Overview of the Current Knowledge and Conventional MRI Characteristics of Peri- and Para-Vascular Spaces. Brain Sci 2024; 14:138. [PMID: 38391713 PMCID: PMC10886993 DOI: 10.3390/brainsci14020138] [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: 12/09/2023] [Revised: 01/10/2024] [Accepted: 01/26/2024] [Indexed: 02/24/2024] Open
Abstract
Brain spaces around (perivascular spaces) and alongside (paravascular or Virchow-Robin spaces) vessels have gained significant attention in recent years due to the advancements of in vivo imaging tools and to their crucial role in maintaining brain health, contributing to the anatomic foundation of the glymphatic system. In fact, it is widely accepted that peri- and para-vascular spaces function as waste clearance pathways for the brain for materials such as ß-amyloid by allowing exchange between cerebrospinal fluid and interstitial fluid. Visible brain spaces on magnetic resonance imaging are often a normal finding, but they have also been associated with a wide range of neurological and systemic conditions, suggesting their potential as early indicators of intracranial pressure and neurofluid imbalance. Nonetheless, several aspects of these spaces are still controversial. This article offers an overview of the current knowledge and magnetic resonance imaging characteristics of peri- and para-vascular spaces, which can help in daily clinical practice image description and interpretation. This paper is organized into different sections, including the microscopic anatomy of peri- and para-vascular spaces, their associations with pathological and physiological events, and their differential diagnosis.
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Affiliation(s)
- Marco Parillo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
| | - Federica Vaccarino
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
| | - Gianfranco Di Gennaro
- Department of Health Sciences, Chair of Medical Statistics, University of Catanzaro "Magna Græcia", 88100 Catanzaro, Italy
| | - Sumeet Kumar
- Department of Neuroradiology, National Neuroscience Institute, Singapore 308433, Singapore
- Duke-National University of Singapore Medical School, Singapore 169857, Singapore
| | - Johan Van Goethem
- Department of Radiology, Antwerp University Hospital, 2650 Edegem, Belgium
| | - Bruno Beomonte Zobel
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
| | - Carlo Cosimo Quattrocchi
- Centre for Medical Sciences-CISMed, University of Trento, Via S. Maria Maddalena 1, 38122 Trento, Italy
| | - Paul M Parizel
- Royal Perth Hospital & University of Western Australia, Perth, WA 6000, Australia
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Carlo Augusto Mallio
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
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20
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Libecap T, Bauer CE, Zachariou V, Pappas CA, Raslau FD, Liu P, Lu H, Gold BT. Association of Baseline Cerebrovascular Reactivity and Longitudinal Development of Enlarged Perivascular Spaces in the Basal Ganglia. Stroke 2023; 54:2785-2793. [PMID: 37712232 PMCID: PMC10615859 DOI: 10.1161/strokeaha.123.043882] [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: 05/12/2023] [Accepted: 08/24/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Increasing evidence suggests that enlarged perivascular spaces (ePVS) are associated with cognitive dysfunction in aging. However, the pathogenesis of ePVS remains unknown. Here, we tested the possibility that baseline cerebrovascular dysfunction, as measured by a magnetic resonance imaging measure of cerebrovascular reactivity, contributes to the later development of ePVS. METHODS Fifty cognitively unimpaired, older adults (31 women; age range, 60-84 years) underwent magnetic resonance imaging scanning at baseline and follow-up separated by ≈2.5 years. ePVS were counted in the basal ganglia, centrum semiovale, midbrain, and hippocampus. Cerebrovascular reactivity, an index of the vasodilatory capacity of cerebral small vessels, was assessed using carbon dioxide inhalation while acquiring blood oxygen level-dependent magnetic resonance images. RESULTS Low baseline cerebrovascular reactivity values in the basal ganglia were associated with increased follow-up ePVS counts in the basal ganglia after controlling for age, sex, and baseline ePVS values (estimate [SE]=-3.18 [0.96]; P=0.002; [95% CI, -5.11 to -1.24]). This effect remained significant after accounting for self-reported risk factors of cerebral small vessel disease (estimate [SE]=-3.10 [1.00]; P=0.003; [CI, -5.11 to -1.09]) and neuroimaging markers of cerebral small vessel disease (estimate [SE]=-2.72 [0.99]; P=0.009; [CI, -4.71 to -0.73]). CONCLUSIONS Our results demonstrate that low baseline cerebrovascular reactivity is a risk factor for later development of ePVS.
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Affiliation(s)
- T.J. Libecap
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Christopher E. Bauer
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Valentinos Zachariou
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Colleen A. Pappas
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Flavius D. Raslau
- Department of Radiology, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Peiying Liu
- Department of Radiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brian T. Gold
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, Kentucky, USA
- Department of Radiology, University of Kentucky College of Medicine, Lexington, Kentucky, USA
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging University of Kentucky, Lexington, Kentucky, USA
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21
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Shih NC, Barisano G, Lincoln KD, Mack WJ, Sepehrband F, Choupan J. Effects of sleep on brain perivascular space in a cognitively healthy population. Sleep Med 2023; 111:170-179. [PMID: 37782994 PMCID: PMC10591884 DOI: 10.1016/j.sleep.2023.09.024] [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: 06/01/2023] [Revised: 09/20/2023] [Accepted: 09/23/2023] [Indexed: 10/04/2023]
Abstract
The magnetic resonance imaging (MRI) visible perivascular space (PVS) reportedly clears amyloid-β and metabolic waste during sleep. Previous studies reported an association between sleep and the PVS in small vessel disease, traumatic brain injury, and Alzheimer's disease. However, this relationship in a healthy cohort is still unclear. Here, we used the Human Connectome Project Aging dataset to analyze the relationship between sleep and the PVS in cognitively healthy adults across the aging continuum. We measured sleep parameters using the self-reported Pittsburgh Sleep Quality Index questionnaire. We found that older adults who had better sleep quality and sleep efficiency presented with a larger PVS volume fraction in the basal ganglia (BG). However, sleep measures were not associated with PVS volume fraction in the centrum semiovale (CSO). In addition, we found that body mass index (BMI) influenced the BG-PVS across middle-aged and older participants. In the entire cognitively healthy cohort, the effect of sleep quality on PVS volume fraction was mediated by BMI. However, BMI did not influence this effect in the older cohort. Furthermore, there are significant differences in PVS volume fraction across racial/ethnic cohorts. In summary, the effect of sleep on the PVS volume alteration was different in the middle-aged adults and older adults.
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Affiliation(s)
- Nien-Chu Shih
- Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Giuseppe Barisano
- Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurosurgery, Stanford University, Palo Alto, CA, USA
| | - Karen D Lincoln
- Program in Public Health, Department of Environmental and Occupational Health, University of California, Irvine, CA, USA
| | - Wendy J Mack
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Farshid Sepehrband
- Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeiran Choupan
- Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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22
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Hicks AJ, Sinclair B, Shultz SR, Pham W, Silbert LC, Schwartz DL, Rowe CC, Ponsford JL, Law M, Spitz G. Associations of Enlarged Perivascular Spaces With Brain Lesions, Brain Age, and Clinical Outcomes in Chronic Traumatic Brain Injury. Neurology 2023; 101:e63-e73. [PMID: 37156615 PMCID: PMC10351302 DOI: 10.1212/wnl.0000000000207370] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/17/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Enlarged perivascular spaces (ePVS) have been identified as a key signature of glymphatic system dysfunction in neurologic conditions. The incidence and clinical implications of ePVS after traumatic brain injury (TBI) are not yet understood. We investigated whether individuals with chronic moderate-to-severe TBI had an increased burden of ePVS and whether ePVS burden is modulated by the presence of focal lesions, older brain age, and poorer sleep quality. We examined whether an increased burden of ePVS was associated with poorer cognitive and emotional outcomes. METHODS Using a cross-sectional design, participants with a single moderate-to-severe chronic TBI (sustained ≥10 years ago) were recruited from an inpatient rehabilitation program. Control participants were recruited from the community. Participants underwent 3T brain MRI, neuropsychological assessment, and clinical evaluations. ePVS burden in white matter was quantified using automated segmentation. The relationship between the number of ePVS, group membership, focal lesions, brain age, current sleep quality, and outcome was modeled using negative binomial and linear regressions. RESULTS This study included 100 participants with TBI (70% male; mean age = 56.8 years) and 75 control participants (54.3% male; mean age = 59.8 years). The TBI group had a significantly greater burden of ePVS (prevalence ratio rate [PRR] = 1.29, p = 0.013, 95% CI 1.05-1.57). The presence of bilateral lesions was associated with greater ePVS burden (PRR = 1.41, p = 0.021, 95% CI 1.05-1.90). There was no association between ePVS burden, sleep quality (PRR = 1.01, p = 0.491, 95% CI 0.98-1.048), and sleep duration (PRR = 1.03, p = 0.556, 95% CI 0.92-1.16). ePVS was associated with verbal memory (β = -0.42, p = 0.006, 95% CI -0.72 to -0.12), but not with other cognitive domains. The burden of ePVS was not associated with emotional distress (β = -0.70, p = 0.461, 95% CI -2.57 to 1.17) or brain age (PRR = 1.00, p = 0.665, 95% CI 0.99-1.02). DISCUSSION TBI is associated with a greater burden of ePVS, especially when there have been bilateral brain lesions. ePVS was associated with reduced verbal memory performance. ePVS may indicate ongoing impairments in glymphatic system function in the chronic postinjury period.
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Affiliation(s)
- Amelia J Hicks
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Benjamin Sinclair
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Sandy R Shultz
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - William Pham
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Lisa C Silbert
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Daniel L Schwartz
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Christopher C Rowe
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Jennie L Ponsford
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Meng Law
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia
| | - Gershon Spitz
- From the Monash-Epworth Rehabilitation Research Centre (A.J.H., J.L.P., G.S.), Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Department of Neuroscience (A.J.H., B.S., S.R.S., W.P., M.L., G.S.), Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton; Department of Neurology (B.S.), Alfred Health, Melbourne, Australia; Health and Human Services (S.S.), Vancouver Island University, Nanaimo; Division of Medical Sciences (S.S.), University of Victoria, British Columbia, Canada; NIA-Layton Oregon Aging & Alzheimer's Disease Research Center (L.C.S., D.L.S.), Oregon Health & Science University; Department of Neurology (L.C.S.), Portland Veterans Affairs Health Care System; Advanced Imaging Research Center (D.L.S.), Oregon Health & Science University, Portland; Department of Molecular Imaging and Therapy (C.C.R.), Austin Health, Heidelberg; Florey Department of Neuroscience and Mental Health (C.C.R.), University of Melbourne, Parkville; and Department of Radiology (M.L.), Alfred Health, Melbourne, Australia.
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23
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Peters ME, Lyketsos CG. The glymphatic system's role in traumatic brain injury-related neurodegeneration. Mol Psychiatry 2023; 28:2707-2715. [PMID: 37185960 DOI: 10.1038/s41380-023-02070-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023]
Abstract
In at least some individuals who suffer a traumatic brain injury (TBI), there exists a risk of future neurodegenerative illness. This review focuses on the association between the brain-based paravascular drainage pathway known as the "glymphatic system" and TBI-related neurodegeneration. The glymphatic system is composed of cerebrospinal fluid (CSF) flowing into the brain parenchyma along paravascular spaces surrounding penetrating arterioles where it mixes with interstitial fluid (ISF) before being cleared along paravenous drainage pathways. Aquaporin-4 (AQP4) water channels on astrocytic end-feet appear essential for the functioning of this system. The current literature linking glymphatic system disruption and TBI-related neurodegeneration is largely based on murine models with existing human research focused on the need for biomarkers of glymphatic system function (e.g., neuroimaging modalities). Key findings from the existing literature include evidence of glymphatic system flow disruption following TBI, mechanisms of this decreased flow (i.e., AQP4 depolarization), and evidence of protein accumulation and deposition (e.g., amyloid β, tau). The same studies suggest that glymphatic dysfunction leads to subsequent neurodegeneration, cognitive decline, and/or behavioral change although replication in humans is needed. Identified emerging topics from the literature are as follows: link between TBI, sleep, and glymphatic system dysfunction; influence of glymphatic system disruption on TBI biomarkers; and development of novel treatments for glymphatic system disruption following TBI. Although a burgeoning field, more research is needed to elucidate the role of glymphatic system disruption in TBI-related neurodegeneration.
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Affiliation(s)
- Matthew E Peters
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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24
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Charisis S, Rashid T, Liu H, Ware JB, Jensen PN, Austin TR, Li K, Fadaee E, Hilal S, Chen C, Hughes TM, Romero JR, Toledo JB, Longstreth WT, Hohman TJ, Nasrallah I, Bryan RN, Launer LJ, Davatzikos C, Seshadri S, Heckbert SR, Habes M. Assessment of Risk Factors and Clinical Importance of Enlarged Perivascular Spaces by Whole-Brain Investigation in the Multi-Ethnic Study of Atherosclerosis. JAMA Netw Open 2023; 6:e239196. [PMID: 37093602 PMCID: PMC10126873 DOI: 10.1001/jamanetworkopen.2023.9196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 03/07/2023] [Indexed: 04/25/2023] Open
Abstract
Importance Enlarged perivascular spaces (ePVSs) have been associated with cerebral small-vessel disease (cSVD). Although their etiology may differ based on brain location, study of ePVSs has been limited to specific brain regions; therefore, their risk factors and significance remain uncertain. Objective Toperform a whole-brain investigation of ePVSs in a large community-based cohort. Design, Setting, and Participants This cross-sectional study analyzed data from the Atrial Fibrillation substudy of the population-based Multi-Ethnic Study of Atherosclerosis. Demographic, vascular risk, and cardiovascular disease data were collected from September 2016 to May 2018. Brain magnetic resonance imaging was performed from March 2018 to July 2019. The reported analysis was conducted between August and October 2022. A total of 1026 participants with available brain magnetic resonance imaging data and complete information on demographic characteristics and vascular risk factors were included. Main Outcomes and Measures Enlarged perivascular spaces were quantified using a fully automated deep learning algorithm. Quantified ePVS volumes were grouped into 6 anatomic locations: basal ganglia, thalamus, brainstem, frontoparietal, insular, and temporal regions, and were normalized for the respective regional volumes. The association of normalized regional ePVS volumes with demographic characteristics, vascular risk factors, neuroimaging indices, and prevalent cardiovascular disease was explored using generalized linear models. Results In the 1026 participants, mean (SD) age was 72 (8) years; 541 (53%) of the participants were women. Basal ganglia ePVS volume was positively associated with age (β = 3.59 × 10-3; 95% CI, 2.80 × 10-3 to 4.39 × 10-3), systolic blood pressure (β = 8.35 × 10-4; 95% CI, 5.19 × 10-4 to 1.15 × 10-3), use of antihypertensives (β = 3.29 × 10-2; 95% CI, 1.92 × 10-2 to 4.67 × 10-2), and negatively associated with Black race (β = -3.34 × 10-2; 95% CI, -5.08 × 10-2 to -1.59 × 10-2). Thalamic ePVS volume was positively associated with age (β = 5.57 × 10-4; 95% CI, 2.19 × 10-4 to 8.95 × 10-4) and use of antihypertensives (β = 1.19 × 10-2; 95% CI, 6.02 × 10-3 to 1.77 × 10-2). Insular region ePVS volume was positively associated with age (β = 1.18 × 10-3; 95% CI, 7.98 × 10-4 to 1.55 × 10-3). Brainstem ePVS volume was smaller in Black than in White participants (β = -5.34 × 10-3; 95% CI, -8.26 × 10-3 to -2.41 × 10-3). Frontoparietal ePVS volume was positively associated with systolic blood pressure (β = 1.14 × 10-4; 95% CI, 3.38 × 10-5 to 1.95 × 10-4) and negatively associated with age (β = -3.38 × 10-4; 95% CI, -5.40 × 10-4 to -1.36 × 10-4). Temporal region ePVS volume was negatively associated with age (β = -1.61 × 10-2; 95% CI, -2.14 × 10-2 to -1.09 × 10-2), as well as Chinese American (β = -2.35 × 10-1; 95% CI, -3.83 × 10-1 to -8.74 × 10-2) and Hispanic ethnicities (β = -1.73 × 10-1; 95% CI, -2.96 × 10-1 to -4.99 × 10-2). Conclusions and Relevance In this cross-sectional study of ePVSs in the whole brain, increased ePVS burden in the basal ganglia and thalamus was a surrogate marker for underlying cSVD, highlighting the clinical importance of ePVSs in these locations.
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Affiliation(s)
- Sokratis Charisis
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
- Department of Neurology, University of Texas Health Science Center at San Antonio
| | - Tanweer Rashid
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
| | - Hangfan Liu
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
- AI2D Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Jeffrey B. Ware
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Paul N. Jensen
- Department of Medicine, University of Washington, Seattle
| | | | - Karl Li
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
| | - Elyas Fadaee
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore
| | - Timothy M. Hughes
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jose Rafael Romero
- Department of Neurology, School of Medicine, Boston University, Boston, Massachusetts
| | - Jon B. Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas
| | - Will T. Longstreth
- Department of Epidemiology, University of Washington, Seattle
- Department of Neurology, University of Washington, Seattle
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ilya Nasrallah
- AI2D Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - R. Nick Bryan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Christos Davatzikos
- AI2D Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Sudha Seshadri
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
- Department of Neurology, University of Texas Health Science Center at San Antonio
| | | | - Mohamad Habes
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio
- AI2D Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
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25
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Bown CW, Khan OA, Liu D, Remedios SW, Pechman KR, Terry JG, Nair S, Davis LT, Landman BA, Gifford KA, Hohman TJ, Carr JJ, Jefferson AL. Enlarged perivascular space burden associations with arterial stiffness and cognition. Neurobiol Aging 2023; 124:85-97. [PMID: 36446680 PMCID: PMC9957942 DOI: 10.1016/j.neurobiolaging.2022.10.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
Enlarged perivascular spaces (ePVS) are difficult to quantify, and their etiologies and consequences are poorly understood. Vanderbilt Memory and Aging Project participants (n = 327, 73 ± 7 years) completed 3T brain MRI to quantify ePVS volume and count, longitudinal neuropsychological assessment, and cardiac MRI to quantify aortic stiffness. Linear regressions related (1) PWV to ePVS burden and (2) ePVS burden to cross-sectional and longitudinal neuropsychological performance adjusting for key demographic and medical factors. Higher aortic stiffness related to greater basal ganglia ePVS volume (β = 7.0×10-5, p = 0.04). Higher baseline ePVS volume was associated with worse baseline information processing (β = -974, p = 0.003), executive function (β = -81.9, p < 0.001), and visuospatial performances (β = -192, p = 0.02) and worse longitudinal language (β = -54.9, p = 0.05), information processing (β = -147, p = 0.03), executive function (β = -10.9, p = 0.03), and episodic memory performances (β = -10.6, p = 0.02). Results were similar for ePVS count. Greater arterial stiffness relates to worse basal ganglia ePVS burden, suggesting cardiovascular aging as an etiology. ePVS burden is associated with adverse cognitive trajectory, emphasizing the clinical relevance of ePVS.
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Affiliation(s)
- Corey W Bown
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Omair A Khan
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Samuel W Remedios
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Kimberly R Pechman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James G Terry
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sangeeta Nair
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Taylor Davis
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John Jeffrey Carr
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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26
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Association between total cerebral small vessel disease score and cognitive function in patients with vascular risk factors. Hypertens Res 2023; 46:1326-1334. [PMID: 36894746 DOI: 10.1038/s41440-023-01244-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/02/2023] [Accepted: 02/10/2023] [Indexed: 03/11/2023]
Abstract
Hypertension is the most important risk factor for cerebral small vessel disease (SVD). In this cross-sectional study, we tested the independent association of cerebral SVD burden with global cognitive function and each cognitive domain in patients with vascular risk factors. The Tokyo Women's Medical University Cerebral Vessel Disease (TWMU CVD) registry is an ongoing prospective, observational registry in which patients with any evidence of CVD in magnetic resonance imaging (MRI) and at least one vascular risk factor were consecutively enrolled. For SVD-related findings, we evaluated white matter hyperintensity, lacunar infarction, cerebral microbleeds, enlarged perivascular space, and medial temporal atrophy. We used the total SVD score as the SVD burden. They underwent the Mini-mental State Examination (MMSE) and Japanese version of the Montreal Cognitive Assessment (MoCA-J) global cognitive tests, and each cognitive domain was evaluated. After excluding patients without MRI T2* images and those with MMSE score <24, we analyzed 648 patients. The total SVD score was significantly associated with MMSE and MoCA-J scores. After adjustment for age, sex, education, risk factors, and medial temporal atrophy, the association between the total SVD score and MoCA-J score remained significant. The total SVD score was independently associated with attention. In conclusion, the total SVD score, cerebral SVD burden, was independently association with global cognitive function and attention. A strategy to reduce SVD burden will have the potential to prevent cognitive decline. A total of 648 patients with any evidence of cerebral small vessel disease (SVD) in MRI and at least one vascular risk factor underwent Mini-mental State Examination (MMSE) and Japanese version of the Montreal Cognitive Assessment (MoCA-J) global cognitive tests. The total SVD scores count the presence of each SVD-related findings (white matter hyperintensity, Lacunar infarction, cerebral microbleeds and enlarged perivascular space), ranging from 0 to 4, as the SVD burden. Total SVD scores were significantly associated with MoCA-J scores (r = -0.203, P < 0.001). After adjustment for age, sex, education, risk factors, and medial temporal atrophy, the association between the total SVD score and global cognitive scores remained significant.
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27
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Chung CP, Ihara M, Hilal S, Chen LK. Targeting cerebral small vessel disease to promote healthy aging: Preserving physical and cognitive functions in the elderly. Arch Gerontol Geriatr 2023; 110:104982. [PMID: 36868073 DOI: 10.1016/j.archger.2023.104982] [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: 12/23/2022] [Revised: 02/15/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Cerebral small vessel disease (SVD), which is highly age-related, is the most common neuroimaging finding in community-dwelling elderly individuals. In addition to increasing the risk of dementia and stroke, SVD is associated with cognitive and physical (particularly gait speed) functional impairments in the elderly. Here, we provide evidence suggesting covert SVD, e.g. without clinically evident stroke or dementia, as a critical target to preserve the functional ability that enables well-being in older age. First, we discuss the relationship between covert SVD and geriatric syndrome. SVD lesions found in non-demented, stroke-free elderly are actually not "silent" but are associated with accelerated age-related functional decline. We also review the brain structural and functional abnormalities associated with covert SVD and the possible mechanisms underlying their contributions to SVD-related cognitive and physical functional impairments. Finally, we reveal current data, though limited, on the management of elderly patients with covert SVD to prevent SVD lesion progression and functional decline. Although it is important in aging health, covert SVD is still under-recognized or misjudged by physicians in both neurological and geriatric professions. Improving the acknowledgment, detection, interpretation, and understanding of SVD would be a multidisciplinary priority to maintain cognitive and physical functions in the elderly. The dilemmas and future directions of clinical practice and research for the elderly with covert SVD are also included in the present review.
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Affiliation(s)
- Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore
| | - Liang-Kung Chen
- Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan; Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital), Taipei, Taiwan.
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28
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Na HK, Kim HK, Lee HS, Park M, Lee JH, Ryu YH, Cho H, Lyoo CH. Role of Enlarged Perivascular Space in the Temporal Lobe in Cerebral Amyloidosis. Ann Neurol 2023; 93:965-978. [PMID: 36651566 DOI: 10.1002/ana.26601] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 12/01/2022] [Accepted: 01/07/2023] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Although growing evidence suggests that perivascular space (PVS) serves as a clearance route for amyloid and tau, the association between enlarged PVS (EPVS) and Alzheimer disease is highly inconsistent across studies. As the conventional visual rating systems for EPVS were insufficient to predict amyloid/tau/neurodegeneration (A/T/N) status, we developed a new rating scale for EPVS located in the temporal lobe (T-EPVS). METHODS EPVS located in the basal ganglia (BG-EPVS), centrum semiovale (CS-EPVS), and T-EPVS was visually rated in 272 individuals (healthy controls, n = 96; mild cognitive impairment, n = 106; dementia, n = 70) who underwent structural magnetic resonance imaging (MRI) and dual positron emission tomography scans (18 F-flortaucipir and 18 F-florbetaben). T-EPVS and BG-EPVS were defined as high degree when the counts in any hemisphere were >10, and the CS-EPVS cutoff was >20. Logistic regression models were constructed to investigate whether the regional EPVS burden was predictive of A/T/N status. The derived models were externally validated in a temporal validation cohort (n = 195) that underwent MRI studies using a different scanner. RESULTS Compared with those with low-degree T-EPVS (23/136, 16.9%), individuals with high-degree T-EPVS/CS-EPVS but low-degree BG-EPVS were more likely to exhibit amyloid positivity (46/56, 82.1%). High-degree T-EPVS burden (odds ratio [OR] = 7.251, 95% confidence interval [CI] = 3.296-15.952) and low-degree BG-EPVS (OR = 0.241, 95% CI = 0.109-0.530) were predictive of amyloid positivity. Although high-degree T-EPVS was associated with tau positivity, the association was no longer significant after adjusting for amyloid and neurodegeneration status. INTERPRETATION Investigating the burden and topographic distribution of EPVS including T-EPVS may be useful for predicting amyloid status, indicating that impaired perivascular drainage may contribute to cerebral amyloidosis. ANN NEUROL 2023.
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Affiliation(s)
- Han Kyu Na
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.,Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Han-Kyeol Kim
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Hye Sun Lee
- Biostatics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Mina Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae Hoon Lee
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
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29
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Evans TE, Knol MJ, Schwingenschuh P, Wittfeld K, Hilal S, Ikram MA, Dubost F, van Wijnen KMH, Katschnig P, Yilmaz P, de Bruijne M, Habes M, Chen C, Langer S, Völzke H, Ikram MK, Grabe HJ, Schmidt R, Adams HHH, Vernooij MW. Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data. Neurology 2023; 100:e107-e122. [PMID: 36253103 PMCID: PMC9841448 DOI: 10.1212/wnl.0000000000201349] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 08/19/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Perivascular spaces (PVS) are emerging markers of cerebral small vessel disease (CSVD), but research on their determinants has been hampered by conflicting results from small single studies using heterogeneous rating methods. In this study, we therefore aimed to identify determinants of PVS burden in a pooled analysis of multiple cohort studies using 1 harmonized PVS rating method. METHODS Individuals from 10 population-based cohort studies with adult participants from the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium and the UK Biobank were included. On MRI scans, we counted PVS in 4 brain regions (mesencephalon, hippocampus, basal ganglia, and centrum semiovale) according to a uniform and validated rating protocol, both manually and automated using a deep learning algorithm. As potential determinants, we considered demographics, cardiovascular risk factors, APOE genotypes, and other imaging markers of CSVD. Negative binomial regression models were used to examine the association between these determinants and PVS counts. RESULTS In total, 39,976 individuals were included (age range 20-96 years). The average count of PVS in the 4 regions increased from the age 20 years (0-1 PVS) to 90 years (2-7 PVS). Men had more mesencephalic PVS (OR [95% CI] = 1.13 [1.08-1.18] compared with women), but less hippocampal PVS (0.82 [0.81-0.83]). Higher blood pressure, particularly diastolic pressure, was associated with more PVS in all regions (ORs between 1.04-1.05). Hippocampal PVS showed higher counts with higher high-density lipoprotein cholesterol levels (1.02 [1.01-1.02]), glucose levels (1.02 [1.01-1.03]), and APOE ε4-alleles (1.02 [1.01-1.04]). Furthermore, white matter hyperintensity volume and presence of lacunes were associated with PVS in multiple regions, but most strongly with the basal ganglia (1.13 [1.12-1.14] and 1.10 [1.09-1.12], respectively). DISCUSSION Various factors are associated with the burden of PVS, in part regionally specific, which points toward a multifactorial origin beyond what can be expected from PVS-related risk factor profiles. This study highlights the power of collaborative efforts in population neuroimaging research.
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Affiliation(s)
- Tavia E Evans
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Maria J Knol
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Petra Schwingenschuh
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Katharina Wittfeld
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Saima Hilal
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - M Arfan Ikram
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Florian Dubost
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Kimberlin M H van Wijnen
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Petra Katschnig
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Pinar Yilmaz
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Marleen de Bruijne
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Mohamad Habes
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Christopher Chen
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Sönke Langer
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Henry Völzke
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - M Kamran Ikram
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Hans J Grabe
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Reinhold Schmidt
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Hieab H H Adams
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile.
| | - Meike W Vernooij
- From the Departments of Clinical Genetics (T.E.E., M.J.K., H.H.H.A.), Radiology and Nuclear Medicine (T.E.E., F.D., K.M.H.W., P.Y., M.B., H.H.H.A., M.W.V.), Epidemiology (M.J.K., M.A.I., P.Y., M.K.I., M.W.V.), and Neurology (M.K.I.), Erasmus MC, Rotterdam, the Netherlands; Department of Neurology (P.S., P.K., R.S.), Medical University of Graz, Austria; German Center for Neurodegenerative Diseases (DZNE) (K.W., M.H., H.J.G.), Site Rostock/Greifswald; Department of Psychiatry and Psychotherapy (K.W., H.J.G.) and Institute of Diagnostic Radiology and Neuroradiology (S.L.), University Medicine Greifswald, Germany; Department of Pharmacology (S.H., C.C.), National University of Singapore; Memory Aging & Cognition Centre (MACC) (S.H., C.C., M.K.I.), National University Health System, Singapore; Saw Swee Hock School of Public Health (S.H.), National University of Singapore; Department of Biomedical Data Sciences (F.D.), Stanford University, CA; J. Philip Kistler Stroke Research Center (P.Y.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; The Machine Learning Section (M.B.), Department of Computer Science, University of Copenhagen, Denmark; Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC) (M.H.), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), TX; and Latin American Brain Health (BrainLat) (H.H.H.A.), Universidad Adolfo Ibáñez, Santiago, Chile
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Pase MP, Pinheiro A, Rowsthorn E, Demissie S, Hurmez S, Aparicio HJ, Rodriguez-Lara F, Gonzales MM, Beiser A, DeCarli C, Seshadri S, Romero JR. MRI Visible Perivascular Spaces and the Risk of Incident Mild Cognitive Impairment in a Community Sample. J Alzheimers Dis 2023; 96:103-112. [PMID: 37742645 PMCID: PMC10846532 DOI: 10.3233/jad-230445] [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: 09/26/2023]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) visible perivascular spaces (PVS) are associated with the risk of incident dementia but their association with the early stages of cognitive impairment remains equivocal. OBJECTIVE We examined the association between MRI visible PVS and the risk of incident mild cognitive impairment (MCI) in the community-based Framingham Heart Study (FHS). METHODS FHS participants aged at least 50 years free of stroke, cognitive impairment, and dementia at the time of MRI were included. PVS were rated according to severity in the basal ganglia and centrum semiovale (CSO) using established criteria. Cox regression analyses were used to relate PVS to incident MCI adjusted for demographic and cardiovascular variables. RESULTS The mean age of the sample (1,314 participants) at MRI was 68 years (SD, 9; 54% women). There were 263 cases of incident MCI over a median 7.4 years follow-up (max, 19.8 years). MCI risk increased with higher PVS severity in the CSO. Relative to persons with the lowest severity rating, persons with the highest severity rating in the CSO had a higher risk of incident MCI (hazard ratio [HR] = 2.55; 95% confidence interval [CI], 1.48-4.37; p = 0.0007). In secondary analysis, this association seemed stronger in women. Risk of incident MCI was nominally higher for participants with the highest severity grade of PVS in the basal ganglia, though not statistically significant relative to the lowest grade (HR = 2.19; 95% CI, 0.78-6.14; p = 0.14). CONCLUSIONS PVS burden in the CSO may be a risk marker for early cognitive impairment.
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Affiliation(s)
- Matthew P. Pase
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
| | - Adlin Pinheiro
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ella Rowsthorn
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
| | - Serkalem Demissie
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Saoresho Hurmez
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
| | - Hugo J. Aparicio
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | | | - Mitzi M. Gonzales
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Alexa Beiser
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, University of California at Davis, Davis, CA, USA
| | - Sudha Seshadri
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Jose Rafael Romero
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
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Desjardins C, Caux F, Degos B, Benzohra D, De Liège A, Bohelay G, Longy M, Béreaux C, Garcin B. Impaired social cognition and fine dexterity in patients with Cowden syndrome associated with germline PTEN variants. J Med Genet 2023; 60:91-98. [PMID: 34937768 DOI: 10.1136/jmedgenet-2021-107954] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 12/03/2021] [Indexed: 02/04/2023]
Abstract
PURPOSE Cowden syndrome (CS) is an autosomal dominant disease related to germline PTEN variants and is characterised by multiple hamartomas, increased risk of cancers and frequent brain alteration. Since the behaviour of patients with CS sometimes appears to be inappropriate, we analysed their neuropsychological functioning. METHODS This monocentric study was conducted between July 2018 and February 2020. A standardised neuropsychological assessment, including an evaluation of social cognition, executive functions, language and dexterity, as well as a cerebral MRI were systematically proposed to all patients with CS. Moreover, PTEN variants were identified. RESULTS Fifteen patients from 13 families were included, with six non-sense (40%), three missense (20%), five frameshift (33.3%) and one splice site (6.6%) variant types. Twelve patients (80%) had altered social cognition: 10 patients had an abnormal modified Faux-Pas score and 5 had Ekman's facial emotions recognition impairment. Nearly all patients (93%) had impaired dexterity. Cerebral MRI showed various cerebellar anomalies in seven patients (46.7%). CONCLUSION Altered social cognition and impaired fine dexterity are frequently associated with CS. Further studies are needed to confirm these results and to determine whether dexterity impairment is due to the effect of germline PTEN variants in the cerebellum.
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Affiliation(s)
- Clément Desjardins
- Department of Neurology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Frédéric Caux
- Department of Dermatology, Sorbonne Paris Nord, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Bertrand Degos
- Department of Neurology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France.,Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR7241/INSERM U1050, Université PSL, Paris, France
| | - Djallel Benzohra
- Department of Radiology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Astrid De Liège
- Department of Neurology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Gérôme Bohelay
- Department of Dermatology, Sorbonne Paris Nord, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Michel Longy
- Cancer Genetics Unit and INSERM U1218, Institut Bergonié, University of Bordeaux, Bordeaux, France
| | - Chloé Béreaux
- Department of Neurology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France
| | - Béatrice Garcin
- Department of Neurology, AP-HP, Hôpital Avicenne, Hôpitaux Universitaires de Paris-Seine Saint Denis (HUPSSD), Bobigny, France .,Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris, France
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Herrera-Rivero M, Hofer E, Maceski A, Leppert D, Benkert P, Kuhle J, Schmidt R, Khalil M, Wiendl H, Stoll M, Berger K. Evidence of polygenic regulation of the physiological presence of neurofilament light chain in human serum. Front Neurol 2023; 14:1145737. [PMID: 36970523 PMCID: PMC10030935 DOI: 10.3389/fneur.2023.1145737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/20/2023] [Indexed: 03/29/2023] Open
Abstract
Introduction The measurement of neurofilament light chain (NfL) in blood is a promising biomarker of neurological injury and disease. We investigated the genetic factors that underlie serum NfL levels (sNfL) of individuals without neurological conditions. Methods We performed a discovery genome-wide association study (GWAS) of sNfL in participants of the German BiDirect Study (N = 1,899). A secondary GWAS for meta-analysis was performed in a small Austrian cohort (N = 287). Results from the meta-analysis were investigated in relation with several clinical variables in BiDirect. Results Our discovery GWAS identified 12 genomic loci at the suggestive threshold ((p < 1 × 10-5). After meta-analysis, 7 loci were suggestive of an association with sNfL. Genotype-specific differences in sNfL were observed for the lead variants of meta-analysis loci (rs34523114, rs114956339, rs529938, rs73198093, rs34372929, rs10982883, and rs1842909) in BiDirect participants. We identified potential associations in meta-analysis loci with markers of inflammation and renal function. At least 6 protein-coding genes (ACTG2, TPRKB, DMXL1, COL23A1, NAT1, and RIMS2) were suggested as genetic factors contributing to baseline sNfL levels. Discussion Our findings suggest that polygenic regulation of neuronal processes, inflammation, metabolism and clearance modulate the variability of NfL in the circulation. These could aid in the interpretation of sNfL measurements in a personalized manner.
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Affiliation(s)
- Marisol Herrera-Rivero
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
- *Correspondence: Marisol Herrera-Rivero
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Aleksandra Maceski
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - David Leppert
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Monika Stoll
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
- Department of Biochemistry, Genetic Epidemiology and Statistical Genetics, Maastricht University, Maastricht, Netherlands
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
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Ramaswamy S, Khasiyev F, Gutierrez J. Brain Enlarged Perivascular Spaces as Imaging Biomarkers of Cerebrovascular Disease: A Clinical Narrative Review. J Am Heart Assoc 2022; 11:e026601. [PMID: 36533613 PMCID: PMC9798817 DOI: 10.1161/jaha.122.026601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Perivascular spaces or Virchow-Robin spaces form pathways along the subarachnoid spaces that facilitate the effective clearance of brain metabolic by-products through intracellular exchange and drainage of cerebrospinal fluid. Best seen on magnetic resonance imaging of the brain, enlarged perivascular spaces (EPVSs) are increasingly recognized as potential imaging biomarkers of neurological conditions. EPVSs are an established subtype of cerebral small-vessel disease; however, their associations with other cerebrovascular disorders are yet to be fully understood. In particular, there has been great interest in the association between the various parameters of EPVSs, such as number, size, and topography, and vascular neurological conditions. Studies have identified cross-sectional and longitudinal relationships between EPVS parameters and vascular events, such as ischemic stroke (both clinical and silent), intracerebral hemorrhage, vascular risk factors, such as age and hypertension, and neurodegenerative processes, such as vascular dementia and Alzheimer disease. However, these studies are limited by heterogeneity of data and the lack of consistent results across studied populations. Existing meta-analyses also fail to provide uniformity of results. We performed a qualitative narrative review with an aim to provide an overview of the associations between EPVSs and cerebrovascular diseases, which may help recognize gaps in our knowledge, inform the design of future studies, and advance the role of EPVSs as imaging biomarkers.
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Affiliation(s)
- Srinath Ramaswamy
- Department of NeurologySUNY Downstate Health Sciences UniversityBrooklynNY
| | - Farid Khasiyev
- Department of NeurologySt. Louis University School of MedicineSt. LouisMO
| | - Jose Gutierrez
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNY
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Wang ML, Zou QQ, Sun Z, Wei XE, Li PY, Wu X, Li YH. Associations of MRI-visible perivascular spaces with longitudinal cognitive decline across the Alzheimer's disease spectrum. Alzheimers Res Ther 2022; 14:185. [PMID: 36514127 PMCID: PMC9746143 DOI: 10.1186/s13195-022-01136-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To investigate the characteristics and associations of MRI-visible perivascular spaces (PVS) with clinical progression and longitudinal cognitive decline across the Alzheimer's disease spectrum. METHODS We included 1429 participants (641 [44.86%] female) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. PVS number and grade in the centrum semiovale (CSO-PVS), basal ganglia (BG-PVS), and hippocampus (HP-PVS) were compared among the control (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD) groups. PVS were tested as predictors of diagnostic progression (i.e., CN to MCI/AD or MCI to AD) and longitudinal changes in the 13-item Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-Cog 13), Mini-Mental State Examination (MMSE), memory (ADNI-MEM), and executive function (ADNI-EF) using multiple linear regression, linear mixed-effects, and Cox proportional hazards modeling. RESULTS Compared with CN subjects, MCI and AD subjects had more CSO-PVS, both in number (p < 0.001) and grade (p < 0.001). However, there was no significant difference in BG-PVS and HP-PVS across the AD spectrum (p > 0.05). Individuals with moderate and frequent/severe CSO-PVS had a higher diagnostic conversion risk than individuals with no/mild CSO-PVS (log-rank p < 0.001 for all) in the combined CN and MCI group. Further Cox regression analyses revealed that moderate and frequent/severe CSO-PVS were associated with a higher risk of diagnostic conversion (HR = 2.007, 95% CI = 1.382-2.914, p < 0.001; HR = 2.676, 95% CI = 1.830-3.911, p < 0.001, respectively). A higher CSO-PVS number was associated with baseline cognitive performance and longitudinal cognitive decline in all cognitive tests (p < 0.05 for all). CONCLUSIONS CSO-PVS were more common in MCI and AD and were associated with cognitive decline across the AD spectrum.
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Affiliation(s)
- Ming-Liang Wang
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233, China
| | - Qiao-Qiao Zou
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233, China
| | - Zheng Sun
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233, China
| | - Xiao-Er Wei
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233, China
| | - Peng-Yang Li
- Division of Cardiology, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Xue Wu
- Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Yue-Hua Li
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yi Shan Road, Shanghai, 200233, China.
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Li X, Ruan C, Zibrila AI, Musa M, Wu Y, Zhang Z, Liu H, Salimeen M. Children with autism spectrum disorder present glymphatic system dysfunction evidenced by diffusion tensor imaging along the perivascular space. Medicine (Baltimore) 2022; 101:e32061. [PMID: 36482590 PMCID: PMC9726346 DOI: 10.1097/md.0000000000032061] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
This study used diffusion tensor imaging (DTI) along the perivascular space (DTI-ALPS) to assess glymphatic system function in autism spectrum disorder (ASD) compared to healthy controls. Patients with ASD may have glymphatic system dysfunction, which is related to age. We retrospectively included 30 children with ASD and 25 healthy controls in this study. 3T magnetic resonance imaging scanner was used to perform DTI magnetic resonance imaging on all participants, and the DTI-ALPS index was calculated from the DTI data. Additionally, we evaluated how the DTI-ALPS index differed between the 2 groups. Moreover, we examined the relationships between the bilateral DTI-ALPS index and the age of the participants. The DTI-ALPS index considerably differed between groups. In the left index (1.02 ± 0.12 vs. 1.27 ± 0.25, P < .001) and in the right index (1.03 ± 0.12 vs. 1.32 ± 0.20, P < .001), the DTI-ALPS in ASD patients was significantly lower than that in healthy controls. Furthermore, the DTI-ALPS index was strongly and positively associated with age. In patients with ASD, there is a glymphatic system dysfunction. This is intimately correlated to age. Our findings suggest the importance of the DTI-ALPS approach in assessing the function of the glymphatic system in ASD.
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Affiliation(s)
- Xin Li
- Department of Anaesthesiology, School of Medicine, Yan’an University, Yanan, China
| | - Cailian Ruan
- Anatomy Department, School of Medicine, Yan’an University, Yanan City, China
| | - Abdoulaye Issotina Zibrila
- Laboratory of Experimental Pharmacology, Department of Animal Physiology, Faculty of Science and Technology, University of Abomey-Calavi, Abomey-Calavi, Benin
| | - Mazen Musa
- Department of Orthodontics, Al Tegana Dental Teaching Hospital, Faculty of Dentistry, University of Science and Technology, Omdurman, Sudan
| | - Yifan Wu
- MD Undergraduate Program, School of Medicine, Yan’an University, Yan’an City, China
| | - Zhengxiang Zhang
- Department of Pharmacology, School of Medicine, Yan’an University, Yan’an City, China
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi City, China
| | - Mustafa Salimeen
- Department of Radiology, Affiliated Hospital, School of Medicine, Yan’an University, Yan’an City, China
- Department of Radiology, Dongola Teaching Hospital Faculty of Medicine and Health Sciences, University of Dongola, Dongola, Republic of Sudan, Dongola, Sudan
- * Correspondence: Mustafa Salimeen, Radiology Department, Affiliated Hospital, School of Medicine, Yana’an University, Yan’an City, China (e-mail: )
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Factors associated with the location of perivascular space enlargement in middle-aged individuals undergoing brain screening in Japan. Clin Neurol Neurosurg 2022; 223:107497. [DOI: 10.1016/j.clineuro.2022.107497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/15/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
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Jeong SH, Cha J, Park M, Jung JH, Ye BS, Sohn YH, Chung SJ, Lee PH. Association of Enlarged Perivascular Spaces With Amyloid Burden and Cognitive Decline in Alzheimer Disease Continuum. Neurology 2022; 99:e1791-e1802. [PMID: 35985826 DOI: 10.1212/wnl.0000000000200989] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 06/03/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To investigate the effects of enlarged perivascular space (EPVS) on amyloid burden and cognitive function in Alzheimer disease (AD) continuum. METHODS We retrospectively reviewed 208 patients with AD across the cognitive continuum (preclinical, prodromal, and AD dementia) who showed amyloid deposition on 18F-florbetaben PET scans and 82 healthy controls. EPVSs were counted for each patient in the basal ganglia (BG), centrum semiovale (CSO), and hippocampus (HP) on axial T2-weighted images. Patients were then classified according to the number of EPVSs into the EPVS+ (>10 EPVSs) and EPVS- (0-10 EPVSs) groups for the BG and CSO, respectively. In terms of HP-EPVS, equal or more than 7 EPVSs on bilateral hemisphere were regarded as the presence of HP-EPVS. After adjusting for markers of small vessel disease (SVD), multiple linear regression analyses were performed to determine the intergroup differences in global and regional amyloid deposition and cognitive function at the time of diagnosis of AD continuum. A linear mixed model was used to assess the effects of EPVSs on the longitudinal changes in the Mini-Mental State Examination (MMSE) scores. RESULTS Amyloid burden at the time of diagnosis of AD continuum was not associated with the degree of BG-, CSO-, or HP-EPVS. BG-EPVS affected language and frontal/executive function via SVD markers, and HP-EPVS was associated with general cognition via SVD markers. However, CSO-EPVS was not associated with baseline cognition. A higher number of CSO-EPVS was significantly associated with a more rapid decline in MMSE scores (β = -0.58, standard error = 0.23, p = 0.011) independent of the amyloid burden. In terms of BG and HP, there was no difference between the EPVS+ and EPVS- groups in the rate of longitudinal decreases in MMSE scores. DISCUSSION Our findings suggest that BG-, CSO-, and HP-EPVS are not associated with baseline β-amyloid burden or cognitive function independently of SVD at the diagnosis of AD continuum. However, CSO-EPVS appears to be associated with the progression of cognitive decline in an amyloid-independent manner. Further studies are needed to investigate whether CSO-EPVS is a potential therapeutic target in patients with AD continuum.
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Affiliation(s)
- Seong Ho Jeong
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Jungho Cha
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Mincheol Park
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Ho Jung
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Byoung Seok Ye
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Young H Sohn
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Seok Jong Chung
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Phil Hyu Lee
- From the Department of Neurology (S.H.J., M.P., B.S.Y., Y.H.S., S.J.C., P.H.L.), Yonsei University College of Medicine, Seoul, South Korea; Department of Neurology (S.H.J.), Inje University Sanggye Paik Hospital, Seoul, South Korea; Nash Family Center for Advanced Circuit Therapeutics (J.C.), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (J.H.J.), Busan Paik Hospital, Inje University College of Medicine, Seoul, South Korea; Department of Neurology (S.J.C.), Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea; Yonsei Beyond Lab (S.J.C.), Yongin, South Korea; and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea.
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Shi X, Zhou N, Sun B, Wu Y, Hu Y, Ning Y. Perivascular Space Predicts Brain Hypometabolism of Individuals with Underlying Amyloid Pathology. J Alzheimers Dis 2022; 90:1329-1337. [DOI: 10.3233/jad-220426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Reduced signal on fluorodeoxyglucose-positron emission tomography (FDG-PET) is a valid proxy for neurodegeneration in Alzheimer’s disease (AD). Perivascular space (PVS) is believed to be associated with AD pathology and cognitive decline. Objective: This study aimed to investigate the associations of PVS with FDG-PET and cognitive performance based on the burden of amyloid pathology. Methods: We used magnetic resonance imaging (MRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). MRI-visible PVS in basal ganglia (BG) and centrum semi-oval (CSO) were visually classified as: none/mild, moderate or frequent/severe. The association of PVS with brain FDG-PET was explored based on the burden of amyloid pathology, where a cerebrospinal fluid (CSF) t-tau/Aβ42 with the ratio≥0.27 was defined as high amyloid pathology. Moreover, the relationships between PVS and cognitive performance variables (ADNI-MEM and ADNI-EF) were studied. Results: For participants with higher tau/Aβ42 ratio, CSO-PVS severity was independently associated with lower FDG-PET. There were significant interaction effects between moderate or frequent/severe CSO-PVS and time on FDG decline in people with high amyloid pathology. The interaction between CSO-PVS and time (follow-up) was consistently associated with ADNI-MEM and ADNI-EF decline in individuals with high amyloid pathology. Conclusion: The study established the differential utility of PVS in BG and CSO for predicting brain metabolism. These findings suggest that CSO-PVS serves as a contributing factor to brain metabolism and cognitive decline associated with amyloid pathology.
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Affiliation(s)
- Xiaolei Shi
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Nan Zhou
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bin Sun
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yongshun Wu
- The Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yachun Hu
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
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Choe YM, Baek H, Choi HJ, Byun MS, Yi D, Sohn BK, Sohn CH, Lee DY. Association Between Enlarged Perivascular Spaces and Cognition in a Memory Clinic Population. Neurology 2022; 99:e1414-e1421. [PMID: 35764403 PMCID: PMC9576287 DOI: 10.1212/wnl.0000000000200910] [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: 11/11/2021] [Accepted: 05/16/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Although enlarged perivascular spaces (EPVS) have been suggested as an emerging measure of small vessel disease (SVD) in the brain, their association with cognitive impairment is not yet clearly understood. We aimed to examine the relationship between each EPVS in the basal ganglia (BG-EPVS) and centrum semiovale (CSO-EPVS) with cognition in a memory clinic population. METHODS Participants with a diverse cognitive spectrum were recruited from a university hospital memory clinic. They underwent comprehensive clinical and neuropsychological assessments and brain MRI. BG-EPVS and CSO-EPVS were measured on T2-weighted MRI and then dichotomized into low and high degrees for further analyses. Other SVD markers were assessed using validated rating scales. RESULTS A total of 910 participants were included in this study. A high degree of BG-EPVS was significantly associated with poorer scores on the executive function domain, but not with other cognitive domains, when age, sex, education, MRI scanner type, and cognitive diagnosis were controlled as covariates. However, the association between BG-EPVS and executive function was no longer significant after controlling for other markers of SVD, such as lacunar infarcts and periventricular white matter hyperintensities, as additional covariates. CSO-EPVS did not have a significant relationship with any cognitive scores, regardless of the covariates. DISCUSSION Our findings from a large memory clinic population suggest that EPVS, regardless of the topographical location, may not be used as a specific SVD marker for cognitive impairment, although an apparent association was observed between a high degree of BG-EPVS and executive dysfunction before controlling other SVD markers that share a common pathophysiologic process with BG-EPVS.
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Affiliation(s)
- Young Min Choe
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Hyewon Baek
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Hyo Jung Choi
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Min Soo Byun
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Dahyun Yi
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Bo Kyung Sohn
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Chul-Ho Sohn
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea
| | - Dong Young Lee
- From the Department of Neuropsychiatry (Y.M.C.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Department of Neuropsychiatry (H.B.), Gyeonggi Provincial Hospital for the Elderly, Yongin; Department of Neuropsychiatry (H.J.C., M.S.B., D.Y.L.), Seoul National University Hospital; Department of Psychiatry (M.S.B., D.Y.L.), Seoul National University College of Medicine; Institute of Human Behavioral Medicine (D.Y., D.Y.L.), Seoul National University Medical Research Center; Department of Psychiatry (B.K.S.), Inje University Sanggye Paik Hospital, Seoul; and Department of Radiology (C.H.S.), Seoul National University Hospital, South Korea.
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Zou Q, Wang M, Wei X, Li W. Prevalence and Risk Factors for Enlarged Perivascular Spaces in Young Adults from a Neurology Clinic-Based Cohort. Brain Sci 2022; 12:brainsci12091164. [PMID: 36138900 PMCID: PMC9497082 DOI: 10.3390/brainsci12091164] [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: 07/28/2022] [Revised: 08/23/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: This study aimed to investigate the prevalence and risk factors for enlarged perivascular spaces (EPVS) in young adults from a neurology clinic-based cohort (≤45 years old) via unenhanced brain MRI. (2) Methods: A total of 931 young adults from a neurology clinic-based cohort who underwent unenhanced brain MRI between 1 January 2021 and 30 June 2021 were retrospectively included in this study. The EPVS were rated in the centrum semiovale (CSO-EPVS), basal ganglia (BG-EPVS), and midbrain (MB-EPVS) using a visual rating scale. The degrees of the CSO-EPVS, BG-EPVS, and MB-EPVS were all divided by a cutoff value of 1. Demographic factors, vascular risk factors, and symptoms were analyzed using the chi-square test and logistic regression to determine the risk factors of EPVS. (3) Results: The overall prevalence of EPVS was 99.8% (929/931). The CSO-EPVS, BG-EPVS, and MB-EPVS were predominantly scored as 1 (52.1%, 79.1%, and 58.3%, respectively). Logistic regression analysis identified age and hypertension as factors affecting the degrees of CSO-EPVS and BG-EPVS (p < 0.05). Hypertension (p < 0.001) and diabetes (p = 0.014) were revealed to be factors affecting the degree of BG-EPVS. Furthermore, patients with headache (OR = 1.807; p = 0.001) and dizziness (OR = 1.574; p = 0.025) were associated with MB-EPVS. (4) Conclusions: EPVS were frequently found in young adults and could be related to the symptoms. Age, hypertension, and diabetes were the risk factors for the severity of EPVS in the corresponding brain regions.
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41
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Barisano G, Lynch KM, Sibilia F, Lan H, Shih NC, Sepehrband F, Choupan J. Imaging perivascular space structure and function using brain MRI. Neuroimage 2022; 257:119329. [PMID: 35609770 PMCID: PMC9233116 DOI: 10.1016/j.neuroimage.2022.119329] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/04/2022] [Accepted: 05/19/2022] [Indexed: 12/03/2022] Open
Abstract
In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid circulation and clearance of cerebral waste products and their association with neurological diseases. Novel strategies and techniques have been introduced to improve the quantification of PVS and to investigate their function and morphological features in physiological and pathological conditions. After a brief introduction on the anatomy and physiology of PVS, we examine the latest technological developments to quantitatively analyze the structure and function of PVS in humans with MRI. We describe the applications, advantages, and limitations of these methods, providing guidance and suggestions on the acquisition protocols and analysis techniques that can be applied to study PVS in vivo. Finally, we review the human neuroimaging studies on PVS across the normative lifespan and in the context of neurological disorders.
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Affiliation(s)
- Giuseppe Barisano
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
| | - Kirsten M Lynch
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Francesca Sibilia
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Haoyu Lan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Nien-Chu Shih
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Farshid Sepehrband
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Jeiran Choupan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
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42
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Hou M, Hou X, Qiu Y, Wang J, Zhang M, Mao X, Wu X. Characteristics of Cognitive Impairment and Their Relationship With Total Cerebral Small Vascular Disease Score in Parkinson's Disease. Front Aging Neurosci 2022; 14:884506. [PMID: 35875803 PMCID: PMC9301002 DOI: 10.3389/fnagi.2022.884506] [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: 02/26/2022] [Accepted: 06/16/2022] [Indexed: 11/21/2022] Open
Abstract
Background This study aimed to investigate the characteristics of cognitive dysfunctions and their relationship with total cerebral small vascular disease (CSVD) in Parkinson’s disease (PD). Methods A total of 174 idiopathic PD patients who underwent brain magnetic resonance imaging (MRI) were recruited. Demographic information, vascular disease risk factors, motor function (MDS-UPDRS III score), and cognitive level (MoCA, MMSE) were collected for these patients. The total CSVD burden was scored based on lacunes, enlarged perivascular spaces (EPVS), high-grade white matter hyperintensities (WMH), and cerebral microbleeds (CMBs) for each subject. Results Cognitive scores on MoCA for language, delayed recall, and orientation were significantly reduced in PD patients with CSVD burden ≥ 1 than in those with CSVD burden = 0. Educational level, PDQ 39, and CSVD burden were significantly associated with MoCA scores in individuals with PD. For the whole group, the full model accounted for 33.6% variation in total MoCA scores. In which, CSVD burden explained 2.7% of the results, and the detection of lacunes, WMH, EPVS, and strictly lobar CMBs were significantly correlated with MoCA scores. The stability of the outcomes was confirmed by sensitivity analysis. Conclusion CSVD can independently contribute to cognitive decline in PD and cause damage in specific cognitive domains. Promoting neurovascular health may help preserve cognitive functions in PD.
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Affiliation(s)
- Miaomiao Hou
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojun Hou
- Department of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yiqing Qiu
- Department of Neurosurgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Jiali Wang
- Department of Neurosurgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Mingyang Zhang
- Department of Chemistry, University of Utah, Salt Lake City, UT, United States
| | - Xiaowei Mao
- Department of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Xi Wu
- Department of Neurosurgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
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43
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Libecap TJ, Zachariou V, Bauer CE, Wilcock DM, Jicha GA, Raslau FD, Gold BT. Enlarged Perivascular Spaces Are Negatively Associated With Montreal Cognitive Assessment Scores in Older Adults. Front Neurol 2022; 13:888511. [PMID: 35847209 PMCID: PMC9283758 DOI: 10.3389/fneur.2022.888511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/06/2022] [Indexed: 11/30/2022] Open
Abstract
Emerging evidence suggests that enlarged perivascular spaces (ePVS) may be a clinically significant neuroimaging marker of global cognitive function related to cerebral small vessel disease (cSVD). We tested this possibility by assessing the relationship between ePVS and both a standardized measure of global cognitive function, the Montreal Cognitive Assessment (MoCA), and an established marker of cSVD, white matter hyperintensity volume (WMH) volume. One hundred and eleven community-dwelling older adults (56-86) underwent neuroimaging and MoCA testing. Quantification of region-specific ePVS burden was performed using a previously validated visual rating method and WMH volumes were computed using the standard ADNI pipeline. Separate linear regression models were run with ePVS as a predictor of MoCA scores and whole brain WMH volume. Results indicated a negative association between MoCA scores and both total ePVS counts (P ≤ 0.001) and centrum semiovale ePVS counts (P ≤ 0.001), after controlling for other relevant cSVD variables. Further, WMH volumes were positively associated with total ePVS (P = 0.010), basal ganglia ePVS (P ≤ 0.001), and centrum semiovale ePVS (P = 0.027). Our results suggest that ePVS burden, particularly in the centrum semiovale, may be a clinically significant neuroimaging marker of global cognitive dysfunction related to cSVD.
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Affiliation(s)
- Timothy J. Libecap
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Valentinos Zachariou
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Christopher E. Bauer
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Donna M. Wilcock
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Flavius D. Raslau
- Department of Radiology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Brian T. Gold
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Magnetic Resonance Imaging and Spectroscopy Center, College of Medicine, University of Kentucky, Lexington, KY, United States
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44
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Cheng AYT, Stubbs JL, Barr AM, Gicas KM, Su W, Thornton AE, Lang DJ, Hamzah Y, Leonova O, MacEwan WG, Rauscher A, Honer WG, Panenka WJ. Risk factors for hippocampal cavities in a marginally housed population. Hippocampus 2022; 32:567-576. [PMID: 35702814 DOI: 10.1002/hipo.23450] [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] [Received: 11/26/2021] [Revised: 05/01/2022] [Accepted: 05/11/2022] [Indexed: 12/25/2022]
Abstract
Cavities in the hippocampus are morphological variants of uncertain significance. Aberrant neurodevelopment along with vascular and inflammatory etiologies have been proposed. We sought to characterize these cavities and their potential risk factors in a marginally housed population, with high rates of viral infection, addiction, and mental illness. (1) The volume of hippocampal cavities (HCavs) is greater in this highly multimorbid population compared to the general population. (2) Conventional vascular risk factors such as greater age and systolic blood pressure are associated with higher HCav volume. (3) Nonprescribed substance-related risk factors such as stimulant use or dependence, and smoking are associated with increased HCav volume independent of vascular risk factors. This is a retrospective analysis of an ongoing prospective study. We analyzed baseline data, including medical history, physical exam, psychiatric diagnosis, and MRI from a total of 375 participants. Hippocampal cavities were defined as spaces isointense to CSF on T1 MRI sequences, bounded on all sides by hippocampal tissue, with a volume of at least 1 mm3 . Risk factors were evaluated using negative binomial multiple regression. Stimulant use was reported by 87.3% of participants, with stimulant dependence diagnosed in 83.3% of participants. Prevalence of cavities was 71.6%, with a mean total bilateral HCav volume of 13.89 mm3 . On average, a 1 mmHg greater systolic blood pressure was associated with a 2.17% greater total HCav volume (95% CI = [0.57%, 3.79%], p = .0076), while each cigarette smoked per day trended toward a 2.69% greater total HCav volume (95% CI = [-0.87%, 5.54%], p = .058). A diagnosis of stimulant dependence was associated with a 95.6% greater total HCav volume (95% CI = [5.39%, 263.19%], p = .0335). Hypertension and diagnosis of stimulant dependence were associated with a greater total volume of HCav.
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Affiliation(s)
- Alex Y T Cheng
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jacob L Stubbs
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada
| | - Alasdair M Barr
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kristina M Gicas
- Department of Psychology, York University, Toronto, Ontario, Canada
| | - Wayne Su
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada
| | - Allen E Thornton
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,Department of Psychology, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Donna J Lang
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yasmin Hamzah
- British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - William G MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada
| | - William J Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,British Columbia Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,British Columbia Neuropsychiatry Program, Vancouver, British Columbia, Canada
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45
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Cerebral small vessel disease alters neurovascular unit regulation of microcirculation integrity involved in vascular cognitive impairment. Neurobiol Dis 2022; 170:105750. [DOI: 10.1016/j.nbd.2022.105750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/09/2022] [Accepted: 05/08/2022] [Indexed: 12/25/2022] Open
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46
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Spreng RN, Setton R, Alter U, Cassidy BN, Darboh B, DuPre E, Kantarovich K, Lockrow AW, Mwilambwe-Tshilobo L, Luh WM, Kundu P, Turner GR. Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures. Sci Data 2022; 9:119. [PMID: 35351925 PMCID: PMC8964687 DOI: 10.1038/s41597-022-01231-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 02/21/2022] [Indexed: 11/21/2022] Open
Abstract
Central to understanding human behavior is a comprehensive mapping of brain-behavior relations within the context of lifespan development. Reproducible discoveries depend upon well-powered samples of reliable data. We provide to the scientific community two, 10-minute, multi-echo functional MRI (ME-fMRI) runs, and structural MRI (T1-MPRAGE), from 181 healthy younger (ages 18-34 y) and 120 older adults (ages 60-89 y). T2-FLAIR MRIs and behavioral assessments are available in a majority subset of over 250 participants. Behavioral assessments include fluid and crystallized cognition, self-reported measures of personality, and socioemotional functioning. Initial quality control and validation of these data is provided. This dataset will be of value to scientists interested in BOLD signal specifically isolated from ME-fMRI, individual differences in brain-behavioral associations, and cross-sectional aging effects in healthy adults. Demographic and behavioral data are available within the Open Science Framework project "Goal-Directed Cognition in Older and Younger Adults" ( http://osf.io/yhzxe/ ), which will be augmented over time; neuroimaging data are available on OpenNeuro ( https://openneuro.org/datasets/ds003592 ).
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Affiliation(s)
- R Nathan Spreng
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada.
- Departments of Psychiatry and Psychology, McGill University, Montreal, QC, Canada.
- Douglas Mental Health University Institute, Verdun, QC, Canada.
| | - Roni Setton
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Udi Alter
- Department of Psychology, York University, Toronto, ON, Canada
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | | | - Bri Darboh
- Department of Psychology, York University, Toronto, ON, Canada
| | - Elizabeth DuPre
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | | | - Amber W Lockrow
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Laetitia Mwilambwe-Tshilobo
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Wen-Ming Luh
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Prantik Kundu
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gary R Turner
- Department of Psychology, York University, Toronto, ON, Canada
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Liu H, Yang S, He W, Liu X, Sun S, Wang S, Wang Y, Zhou X, Tang T, Xia J, Liu Y, Huang Q. Associations Among Diffusion Tensor Image Along the Perivascular Space (DTI-ALPS), Enlarged Perivascular Space (ePVS), and Cognitive Functions in Asymptomatic Patients With Carotid Plaque. Front Neurol 2022; 12:789918. [PMID: 35082748 PMCID: PMC8785797 DOI: 10.3389/fneur.2021.789918] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/17/2021] [Indexed: 12/15/2022] Open
Abstract
Background and Aim: Carotid atherosclerosis (CAS) is a common pathogenesis of cerebrovascular disease closely related to stroke and silent cerebrovascular disease (SCD), while the insufficient brain perfusion mechanism cannot quite explain the mechanism. The purpose of this study was to utilize diffusion tensor image analysis along the perivascular space (DTI-ALPS) to evaluate the glymphatic system activity and correlated DTI-ALPS with enlarged perivascular spaces (ePVS), carotid intima-media thickening (CIMT), mini-mental state examination (MMSE), and serological indicator in individuals with carotid plaque. Methods: Routine MRI and diffusion tensor images scan of the brain, carotid ultrasound, and blood examination were conducted on 74 individuals (52 carotid plaque subjects, 22 non-carotid plaque subjects), whose demographic and clinical characteristics were also recorded. DTI-ALPS index between patients with carotid plaque and normal controls were acquired and the correlations with other variables were analyzed. Results: The values of ALPS-index in the carotid plaque group was significantly lower compared to normal controls (2.12 ± 0.39, 1.95 ± 0.28, respectively, p = 0.034). The ALPS-index was negatively correlated with the basal ganglia (BG)-ePVS score (r = -0.242, p = 0.038) while there was no significant difference in the centrum semiovale (CSO)-ePVS score. Further analysis showed that there are more high-grade ePVS in the BG compared to the carotid plaque group than in the non-carotid plaque group (84.6% vs. 40.9%, p = 0.001). Conclusions: ALPS-index reflects the glymphatic system of the brain, which is associated with early high-risk cerebrovascular diseases. There may be damage in the function of the glymphatic system which induces the expansion of the perivascular space (PVS) in the BG in individuals with carotid plaque.
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Affiliation(s)
- Hui Liu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Shuai Yang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Wei He
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Emergency, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaojuan Liu
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China
| | - Shanyi Sun
- Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China
| | - Song Wang
- Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China
| | - Yang Wang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Integrated Traditional and Western, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoliang Zhou
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China
| | - Tao Tang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Integrated Traditional and Western, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Xia
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yunhai Liu
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Qing Huang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Stroke Center, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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48
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Bown CW, Carare RO, Schrag MS, Jefferson AL. Physiology and Clinical Relevance of Enlarged Perivascular Spaces in the Aging Brain. Neurology 2022; 98:107-117. [PMID: 34810243 PMCID: PMC8792814 DOI: 10.1212/wnl.0000000000013077] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/29/2021] [Indexed: 01/21/2023] Open
Abstract
Perivascular spaces (PVS) are fluid-filled compartments that are part of the cerebral blood vessel wall and represent the conduit for fluid transport in and out of the brain. PVS are considered pathologic when sufficiently enlarged to be visible on MRI. Recent studies have demonstrated that enlarged PVS (ePVS) may have clinical consequences related to cognition. Emerging literature points to arterial stiffening and abnormal protein aggregation in vessel walls as 2 possible mechanisms that drive ePVS formation. We describe the clinical consequences, anatomy, fluid dynamics, physiology, risk factors, and in vivo quantification methods of ePVS. Given competing views of PVS physiology, we detail the 2 most prominent theoretical views and review ePVS associations with other common small vessel disease markers. Because ePVS are a marker of small vessel disease and ePVS burden is higher in Alzheimer disease, a comprehensive understanding about ePVS is essential in developing prevention and treatment strategies.
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Affiliation(s)
- Corey W Bown
- From Vanderbilt Memory and Alzheimer's Center (C.W.B., M.S.S., A.L.J.) and Department of Neurology (C.W.B., M.S.S., A.L.J.), Vanderbilt University Medical Center; Vanderbilt Brain Institute (C.W.B., M.S.S., A.L.J.), Vanderbilt University, Nashville, TN; and Department of Medicine (R.O.C.), University of Southampton, Hampshire, UK
| | - Roxana O Carare
- From Vanderbilt Memory and Alzheimer's Center (C.W.B., M.S.S., A.L.J.) and Department of Neurology (C.W.B., M.S.S., A.L.J.), Vanderbilt University Medical Center; Vanderbilt Brain Institute (C.W.B., M.S.S., A.L.J.), Vanderbilt University, Nashville, TN; and Department of Medicine (R.O.C.), University of Southampton, Hampshire, UK
| | - Matthew S Schrag
- From Vanderbilt Memory and Alzheimer's Center (C.W.B., M.S.S., A.L.J.) and Department of Neurology (C.W.B., M.S.S., A.L.J.), Vanderbilt University Medical Center; Vanderbilt Brain Institute (C.W.B., M.S.S., A.L.J.), Vanderbilt University, Nashville, TN; and Department of Medicine (R.O.C.), University of Southampton, Hampshire, UK
| | - Angela L Jefferson
- From Vanderbilt Memory and Alzheimer's Center (C.W.B., M.S.S., A.L.J.) and Department of Neurology (C.W.B., M.S.S., A.L.J.), Vanderbilt University Medical Center; Vanderbilt Brain Institute (C.W.B., M.S.S., A.L.J.), Vanderbilt University, Nashville, TN; and Department of Medicine (R.O.C.), University of Southampton, Hampshire, UK
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49
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Rundek T, Del Brutto V, Goryawala M, Dong C, Agudelo C, Saporta AS, Merritt S, Camargo C, Ariko T, Loewenstein DA, Duara R, Haq I. Associations Between Vascular Risk Factors and Perivascular Spaces in Adults with Intact Cognition, Mild Cognitive Impairment, and Dementia. J Alzheimers Dis 2022; 89:437-448. [PMID: 35871327 PMCID: PMC10410400 DOI: 10.3233/jad-215585] [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: 11/15/2022]
Abstract
BACKGROUND Perivascular spaces (PVS) are fluid-filled compartments surrounding small intracerebral vessels that transport fluid and clear waste. OBJECTIVE We examined associations between PVS count, vascular and neurodegenerative risk factors, and cognitive status among the predominantly Hispanic participants of the FL-VIP Study of Alzheimer's Disease Risk. METHODS Using brain MRI (n = 228), we counted PVS in single axial image through the basal ganglia (BG) and centrum semiovale (CSO). PVS per region were scored as 0 (none), 1 (<10), 2 (11-20), 3 (21-40), and 4 (>40). Generalized linear models examined PVS associations with vascular risk factors and a composite vascular comorbidity risk (VASCom) score. RESULTS Our sample (mean age 72±8 years, 61% women, 60% Hispanic, mean education 15±4 years, 33% APOE4 carriers) was 59% hypertensive, 21% diabetic, 66% hypercholesteremic, and 30% obese. Mean VASCom score was 2.3±1.6. PVS scores ranged from 0-4 in the BG (mean 1.3±0.7) and CSO (mean 1.2±0.9), and 0-7 combined (mean 2.5±1.4). In multivariable regression models, BG PVS was associated with age (β= 0.03/year, p < 0.0001), Hispanic ethnicity (β= 0.29, p = 0.01), education (β= 0.04/year, p = 0.04), and coronary bypass surgery (β= 0.93, p = 0.02). CSO PVS only associated with age (β= 0.03/year, p < 0.01). APOE4 and amyloid-β were not associated with PVS. CONCLUSION BG PVS may be a marker of subclinical cerebrovascular disease. Further research is needed to validate associations and identify mechanisms linking BG PVS and cerebrovascular disease markers. PVS may be a marker of neurodegeneration despite our negative preliminary findings and more research is warranted. The association between BG PVS and Hispanic ethnicity also requires further investigation.
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Affiliation(s)
- Tatjana Rundek
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Victor Del Brutto
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Mohammed Goryawala
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Radiology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Chuanhui Dong
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Christian Agudelo
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Anita Seixas Saporta
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Stacy Merritt
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Christian Camargo
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Taylor Ariko
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - David A. Loewenstein
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- The Center for Neurocognitive Sciences and Aging, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Ihtsham Haq
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
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Zhao H, Wang F, Luo GH, Lei H, Peng F, Ren QP, Chen W, Wu YF, Yin LC, Liu JC, Pan SN. Assessment of structural brain changes in patients with type 2 diabetes mellitus using the MRI-based brain atrophy and lesion index. Neural Regen Res 2022; 17:618-624. [PMID: 34380902 PMCID: PMC8504365 DOI: 10.4103/1673-5374.320996] [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] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Patients with type 2 diabetes mellitus (T2DM) often have cognitive impairment and structural brain abnormalities. The magnetic resonance imaging (MRI)-based brain atrophy and lesion index can be used to evaluate common brain changes and their correlation with cognitive function, and can therefore also be used to reflect whole-brain structural changes related to T2DM. A total of 136 participants (64 men and 72 women, aged 55–86 years) were recruited for our study between January 2014 and December 2016. All participants underwent MRI and Mini-Mental State Examination assessment (including 42 healthy control, 38 T2DM without cognitive impairment, 26 with cognitive impairment but without T2DM, and 30 T2DM with cognitive impairment participants). The total and sub-category brain atrophy and lesion index scores in patients with T2DM with cognitive impairment were higher than those in healthy controls. Differences in the brain atrophy and lesion index of gray matter lesions and subcortical dilated perivascular spaces were found between non-T2DM patients with cognitive impairment and patients with T2DM and cognitive impairment. After adjusting for age, the brain atrophy and lesion index retained its capacity to identify patients with T2DM with cognitive impairment. These findings suggest that the brain atrophy and lesion index, based on T1-weighted and T2-weighted imaging, is of clinical value for identifying patients with T2DM and cognitive impairment. Gray matter lesions and subcortical dilated perivascular spaces may be potential diagnostic markers of T2DM that is complicated by cognitive impairment. This study was approved by the Medical Ethics Committee of University of South China (approval No. USC20131109003) on November 9, 2013, and was retrospectively registered with the Chinese Clinical Trial Registry (registration No. ChiCTR1900024150) on June 27, 2019.
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Affiliation(s)
- Heng Zhao
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province; Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Fang Wang
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Guang-Hua Luo
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Hao Lei
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Fei Peng
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Qiu-Ping Ren
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Wei Chen
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Yan-Fang Wu
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Li-Chun Yin
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Jin-Cai Liu
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Shi-Nong Pan
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
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