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Wu CH, Lee PL, Wang YF, Lirng JF, Chen ST, Lin CJ, Wang SJ, Chou KH, Chen SP. Phasic perfusion dynamics among migraine subtypes: a multimodel arterial spin labeling investigation. J Headache Pain 2024; 25:167. [PMID: 39363159 PMCID: PMC11448297 DOI: 10.1186/s10194-024-01880-6] [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: 08/23/2024] [Accepted: 09/27/2024] [Indexed: 10/05/2024] Open
Abstract
BACKGROUND Migraine-related perfusion changes are documented but inconsistent across studies due to limited sample size and insufficient phenotyping. The phasic and spatial dynamics across migraine subtypes remains poorly characterized. This study aimed to determine spatiotemporal dynamics of gray matter (GM) perfusion in migraine. METHODS We prospectively recruited episodic (EM) and chronic migraine (CM) patients, diagnosed with the International Headache Society criteria and healthy controls (HCs) between 2021 and 2023 from the headache center in a tertiary medical center, and adjacent communities. Magnetic resonance (3-tesla) arterial spin labeling (ASL) was conducted for whole brain cerebral blood flow (CBF) in all participants. The voxel-wise and whole brain gray matter (GM) CBF were compared between subgroups. Spatial pattern analysis of CBF and its correlations with headache frequency were investigated regarding different migraine phases and subtypes. Sex- and age-adjusted voxel-wise and whole brain GM comparisons were performed between HCs and different EM and CM phases. Spatial pattern analysis was conducted by CBF clusters with phasic differences and spin permutation test. Correlations between headache frequency and CBF were investigated regarding different EM and CM phases. RESULTS Totally 344 subjects (172 EM, 120 CM, and 52 HCs) were enrolled. Higher CBF in different anatomical locations was identified in ictal EM and CM. The combined panels of the specific locations with altered CBF in ictal EM on receiver operating characteristic curve analysis demonstrated areas under curve of 0.780 (vs. HCs) and 0.811 (vs. preictal EM). The spatial distribution of ictal-interictal CBF alteration of EM and CM were not correlated with each other (p = 0.665; r = - 0.018). Positive correlations between headache frequency and CBF were noted in ictal EM and CM regarding whole GM and specific anatomical locations. CONCLUSIONS Patients with migraine exhibited unique spatiotemporal CBF dynamics across different phases and distinct between subtypes. The findings provide neurobiological insights into how selected anatomical structures engage in a migraine attack and adapt to plastic change of repeated attacks along with chronicity.
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Grants
- V113C-120, V113E004-1, V112C-113 & V112E-004-1 (to SJW); V112D67-001-MY3-2 & V113C-058 (to SPC); V112B-007 (to CHW) Taipei Veterans General Hospital
- V113C-120, V113E004-1, V112C-113 & V112E-004-1 (to SJW); V112D67-001-MY3-2 & V113C-058 (to SPC); V112B-007 (to CHW) Taipei Veterans General Hospital
- V113C-120, V113E004-1, V112C-113 & V112E-004-1 (to SJW); V112D67-001-MY3-2 & V113C-058 (to SPC); V112B-007 (to CHW) Taipei Veterans General Hospital
- CI-112-2 (to CHW) Yen Tjing Ling Medical Foundation
- N/A Professor Tsuen CHANG's Scholarship Program from Medical Scholarship Foundation In Memory Of Professor Albert Ly-Young Shen
- N/A Vivian W. Yen Neurological Foundation
- No.112-V-B-039; No. 113-V-B-020 (to CHW) Yin Shu-Tien Foundation Taipei Veterans General Hospital-National Yang Ming Chiao Tung University Excellent Physician Scientists Cultivation Program
- NSTC 108-2314-B-010-022 -MY3, 110-2326-B-A49A-501-MY3 & 112-2314-B-A49-037-MY3 (to SPC); 110-2321-B-010-005-, 111-2321-B-A49-004, 111-2321-B-A49-011, 111-2314-B-A49-069-MY3, 111-2314-B-075-086-MY3, 111-2314-B-A49-090-MY3 & 112-2321-B-075-007 (to SJW); 113-2314-B-A49-070- & 112-2314-B-A49-056- (to KHC); 111-2314-B-075-025 -MY3 & 110-2314-B-075-005 (to CHW) National Science and Technology Council
- NSTC 108-2314-B-010-022 -MY3, 110-2326-B-A49A-501-MY3 & 112-2314-B-A49-037-MY3 (to SPC); 110-2321-B-010-005-, 111-2321-B-A49-004, 111-2321-B-A49-011, 111-2314-B-A49-069-MY3, 111-2314-B-075-086-MY3, 111-2314-B-A49-090-MY3 & 112-2321-B-075-007 (to SJW); 113-2314-B-A49-070- & 112-2314-B-A49-056- (to KHC); 111-2314-B-075-025 -MY3 & 110-2314-B-075-005 (to CHW) National Science and Technology Council
- NSTC 108-2314-B-010-022 -MY3, 110-2326-B-A49A-501-MY3 & 112-2314-B-A49-037-MY3 (to SPC); 110-2321-B-010-005-, 111-2321-B-A49-004, 111-2321-B-A49-011, 111-2314-B-A49-069-MY3, 111-2314-B-075-086-MY3, 111-2314-B-A49-090-MY3 & 112-2321-B-075-007 (to SJW); 113-2314-B-A49-070- & 112-2314-B-A49-056- (to KHC); 111-2314-B-075-025 -MY3 & 110-2314-B-075-005 (to CHW) National Science and Technology Council
- NSTC 108-2314-B-010-022 -MY3, 110-2326-B-A49A-501-MY3 & 112-2314-B-A49-037-MY3 (to SPC); 110-2321-B-010-005-, 111-2321-B-A49-004, 111-2321-B-A49-011, 111-2314-B-A49-069-MY3, 111-2314-B-075-086-MY3, 111-2314-B-A49-090-MY3 & 112-2321-B-075-007 (to SJW); 113-2314-B-A49-070- & 112-2314-B-A49-056- (to KHC); 111-2314-B-075-025 -MY3 & 110-2314-B-075-005 (to CHW) National Science and Technology Council
- N/A Brain Research Center, National Yang Ming Chiao Tung University from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan
- N/A Brain Research Center, National Yang Ming Chiao Tung University from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan
- MOHW107-TDU-B-211-123001, MOHW 108-TDU-B-211-133001 and MOHW112-TDU-B-211-144001 Ministry of Health and Welfare
- VGHUST-112-G1-2-1 (to SJW) Veterans General Hospitals and University System of Taiwan Joint Research Program
- Professor Tsuen CHANG’s Scholarship Program from Medical Scholarship Foundation In Memory Of Professor Albert Ly-Young Shen
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Affiliation(s)
- Chia-Hung Wu
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Pei-Lin Lee
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Feng Wang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei, 11217, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St. Beitou Dist., Taipei, 112304, Taiwan
| | - Jiing-Feng Lirng
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shu-Ting Chen
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chung-Jung Lin
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shuu-Jiun Wang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei, 11217, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St. Beitou Dist., Taipei, 112304, Taiwan.
| | - Kun-Hsien Chou
- Brain Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St. Beitou Dist., Taipei, 112304, Taiwan.
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Shih-Pin Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, Taipei, 11217, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St. Beitou Dist., Taipei, 112304, Taiwan.
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Division of Translational Research, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
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D'Amico F, Pruna A, Putowski Z, Dormio S, Ajello S, Scandroglio AM, Lee TC, Zangrillo A, Landoni G. Low Versus High Blood Pressure Targets in Critically Ill and Surgical Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Crit Care Med 2024; 52:1427-1438. [PMID: 38656245 DOI: 10.1097/ccm.0000000000006314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
OBJECTIVES Hypotension is associated with adverse outcomes in critically ill and perioperative patients. However, these assumptions are supported by observational studies. This meta-analysis of randomized controlled trials aims to compare the impact of lower versus higher blood pressure targets on mortality. DATA SOURCES We searched PubMed, Cochrane, and Scholar from inception to February 10, 2024. STUDY SELECTION Randomized trials comparing lower versus higher blood pressure targets in the management of critically ill and perioperative settings. DATA EXTRACTION The primary outcome was all-cause mortality at the longest follow-up available. This review was registered in the Prospective International Register of Systematic Reviews, CRD42023452928. DATA SYNTHESIS Of 2940 studies identified by the search string, 28 (12 in critically ill and 16 in perioperative settings) were included totaling 15,672 patients. Patients in the low blood pressure target group had lower mortality (23 studies included: 1019/7679 [13.3%] vs. 1103/7649 [14.4%]; relative risk 0.93; 95% CI, 0.87-0.99; p = 0.03; I2 = 0%). This corresponded to a 97.4% probability of any increase in mortality with a Bayesian approach. These findings were mainly driven by studies performed in the ICU setting and with treatment lasting more than 24 hours; however, the magnitude and direction of the results were similar in the majority of sensitivity analyses including the analysis restricted to low risk of bias studies. We also observed a lower rate of atrial fibrillation and fewer patients requiring transfusion in low-pressure target groups. No differences were found in the other secondary outcomes. CONCLUSIONS Based on pooled randomized trial evidence, a lower compared with a higher blood pressure target results in a reduction of mortality, atrial fibrillation, and transfusion requirements. Lower blood pressure targets may be beneficial but there is ongoing uncertainty. However, the present meta-analysis does not confirm previous findings and recommendations. These results might inform future guidelines and promote the study of the concept of protective hemodynamics.
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Affiliation(s)
- Filippo D'Amico
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Pruna
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Zbigniew Putowski
- Department of Intensive Care and Perioperative Medicine, Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Sara Dormio
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Ajello
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Anna Mara Scandroglio
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Todd C Lee
- Division of Infectious Diseases, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Alberto Zangrillo
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Giovanni Landoni
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
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Edwards L, Thomas KR, Weigand AJ, Edmonds EC, Clark AL, Brenner EK, Banks SJ, Gilbert PE, Nation DA, Delano-Wood L, Bondi MW, Bangen KJ. Pulse pressure and APOE ε4 dose interact to affect cerebral blood flow in older adults without dementia. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100206. [PMID: 38328026 PMCID: PMC10847851 DOI: 10.1016/j.cccb.2024.100206] [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: 10/26/2023] [Revised: 12/20/2023] [Accepted: 01/14/2024] [Indexed: 02/09/2024]
Abstract
This study assessed whether the effect of vascular risk on cerebral blood flow (CBF) varies by gene dose of apolipoprotein (APOE) ε4 alleles. 144 older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative underwent arterial spin labeling and T1-weighted MRI, APOE genotyping, fluorodeoxyglucose positron emission tomography (FDG-PET), lumbar puncture, and blood pressure (BP) assessment. Vascular risk was assessed using pulse pressure (systolic BP - diastolic BP). CBF was examined in six AD-vulnerable regions: entorhinal cortex, hippocampus, inferior temporal cortex, inferior parietal cortex, rostral middle frontal gyrus, and medial orbitofrontal cortex. Linear regressions tested the interaction between APOE ε4 dose and pulse pressure on CBF in each region, adjusting for age, sex, cognitive classification, antihypertensive medication use, FDG-PET, reference CBF region, and AD biomarker positivity. There was a significant interaction between pulse pressure and APOE ɛ4 dose on CBF in the entorhinal cortex, hippocampus, and inferior parietal cortex, such that higher pulse pressure was associated with lower CBF only among ε4 homozygous participants. These findings demonstrate that the association between pulse pressure and regional CBF differs by APOE ε4 dose, suggesting that targeting modifiable vascular risk factors may be particularly important for those genetically at risk for AD.
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Affiliation(s)
- Lauren Edwards
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Kelsey R. Thomas
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Alexandra J. Weigand
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Emily C. Edmonds
- Banner Alzheimer's Institute, Tucson, AZ, USA
- Departments of Neurology and Psychology, University of Arizona, Tucson, AZ, USA
| | - Alexandra L. Clark
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - Einat K. Brenner
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Sarah J. Banks
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Paul E. Gilbert
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Daniel A. Nation
- Department of Psychology, University of California Irvine, Irvine, CA, USA
| | - Lisa Delano-Wood
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Mark W. Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Katherine J. Bangen
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
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4
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Yetim E, Jacoby J, Damestani NL, Lovely AE, Salat DH, Juttukonda MR. Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross-Sectional Study From Human Connectome Project-Aging. J Magn Reson Imaging 2023; 58:1892-1900. [PMID: 37040498 PMCID: PMC10564963 DOI: 10.1002/jmri.28722] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Cerebral perfusion is directly affected by systemic blood pressure, which has been shown to be negatively correlated with cerebral blood flow (CBF). The impact of aging on these effects is not fully understood. PURPOSE To determine whether the relationship between mean arterial pressure (MAP) and cerebral hemodynamics persists throughout the lifespan. STUDY TYPE Retrospective, cross-sectional study. POPULATION Six hundred and sixty-nine participants from the Human Connectome Project-Aging ranging between 36 and 100+ years and without a major neurological disorder. FIELD STRENGTH/SEQUENCE Imaging data was acquired at 3.0 Tesla using a 32-channel head coil. CBF and arterial transit time (ATT) were measured by multi-delay pseudo-continuous arterial spin labeling. ASSESSMENT The relationships between cerebral hemodynamic parameters and MAP were evaluated globally in gray and white matter and regionally using surface-based analysis in the whole group, separately within different age groups (young: <60 years; younger-old: 60-79 years; oldest-old: ≥80 years). STATISTICAL TESTS Chi-squared, Kruskal-Wallis, ANOVA, Spearman rank correlation and linear regression models. The general linear model setup in FreeSurfer was used for surface-based analyses. P < 0.05 was considered significant. RESULTS Globally, there was a significant negative correlation between MAP and CBF in both gray (ρ = -0.275) and white matter (ρ = -0.117). This association was most prominent in the younger-old [gray matter CBF (β = -0.271); white matter CBF (β = -0.241)]. In surface-based analyses, CBF exhibited a widespread significant negative association with MAP throughout the brain, whereas a limited number of regions showed significant prolongation in ATT with higher MAP. The associations between regional CBF and MAP in the younger-old showed a different topographic pattern in comparison to young subjects. DATA CONCLUSION These observations further emphasize the importance of cardiovascular health in mid-to-late adulthood for healthy brain aging. The differences in the topographic pattern with aging indicate a spatially heterogeneous relationship between high blood pressure and CBF. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Ezgi Yetim
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - John Jacoby
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - Nikou L. Damestani
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
| | - Allison E. Lovely
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - David H. Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
- Neuroimaging for Veterans Center, VA Boston Healthcare System, Boston MA
| | - Meher R. Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
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Xu F, Liu D, Zhu D, Hillis AE, Bakker A, Soldan A, Albert MS, Lin DDM, Qin Q. Test-retest reliability of 3D velocity-selective arterial spin labeling for detecting normal variations of cerebral blood flow. Neuroimage 2023; 271:120039. [PMID: 36931331 PMCID: PMC10150252 DOI: 10.1016/j.neuroimage.2023.120039] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/23/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Velocity-selective inversion (VSI) based velocity-selective arterial spin labeling (VSASL) has been developed to measure cerebral blood flow (CBF) with low susceptibility to the prolonged arterial transit time and high sensitivity to brain perfusion signal. The purpose of this magnetic resonance imaging study is to evaluate the test-retest reliability of a VSI-prepared 3D VSASL protocol with whole-brain coverage to detect baseline CBF variations among cognitively normal participants in different brain regions. Coefficients of variation (CoV) of both absolute and relative CBF across scans or sessions, subjects, and gray matter regions were calculated, and corresponding intraclass correlation coefficients (ICC) were computed. The higher between-subject CoV of absolute CBF (13.4 ± 2.0%) over within-subject CoV (within-session: 3.8 ± 1.1%; between-session: 4.9 ± 0.9%) yielded moderate to excellent ICC (within-session: 0.88±0.08; between-session: 0.77±0.14) to detect normal variations of individual CBF. The higher between-region CoV of relative CBF (11.4 ± 3.0%) over within-region CoV (within-session: 2.3 ± 0.9%; between-session: 3.3 ± 1.0%) yielded excellent ICC (within-session: 0.92±0.06; between-session: 0.85±0.12) to detect normal variations of regional CBF. Age, blood pressure, end-tidal CO2, and hematocrit partially explained the variability of CBF across subjects. Together these results show excellent test-retest reliability of VSASL to detect both between-subject and between-region variations supporting its clinical utility.
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Affiliation(s)
- Feng Xu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA.
| | - Dapeng Liu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Dan Zhu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Doris D M Lin
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Qin Qin
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
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6
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Rashid T, Li K, Toledo JB, Nasrallah I, Pajewski NM, Dolui S, Detre J, Wolk DA, Liu H, Heckbert SR, Bryan RN, Williamson J, Davatzikos C, Seshadri S, Launer LJ, Habes M. Association of Intensive vs Standard Blood Pressure Control With Regional Changes in Cerebral Small Vessel Disease Biomarkers: Post Hoc Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Netw Open 2023; 6:e231055. [PMID: 36857053 PMCID: PMC9978954 DOI: 10.1001/jamanetworkopen.2023.1055] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
IMPORTANCE Little is known about the associations of strict blood pressure (BP) control with microstructural changes in small vessel disease markers. OBJECTIVE To investigate the regional associations of intensive vs standard BP control with small vessel disease biomarkers, such as white matter lesions (WMLs), fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF). DESIGN, SETTING, AND PARTICIPANTS The Systolic Blood Pressure Intervention Trial (SPRINT) is a multicenter randomized clinical trial that compared intensive systolic BP (SBP) control (SBP target <120 mm Hg) vs standard control (SBP target <140 mm Hg) among participants aged 50 years or older with hypertension and without diabetes or a history of stroke. The study began randomization on November 8, 2010, and stopped July 1, 2016, with a follow-up duration of approximately 4 years. A total of 670 and 458 participants completed brain magnetic resonance imaging at baseline and follow-up, respectively, and comprise the cohort for this post hoc analysis. Statistical analyses for this post hoc analysis were performed between August 2020 and October 2022. INTERVENTIONS At baseline, 355 participants received intensive SBP treatment and 315 participants received standard SBP treatment. MAIN OUTCOMES AND MEASURES The main outcomes were regional changes in WMLs, FA, MD (in white matter regions of interest), and CBF (in gray matter regions of interest). RESULTS At baseline, 355 participants (mean [SD] age, 67.7 [8.0] years; 200 men [56.3%]) received intensive BP treatment and 315 participants (mean [SD] age, 67.0 [8.4] years; 199 men [63.2%]) received standard BP treatment. Intensive treatment was associated with smaller mean increases in WML volume compared with standard treatment (644.5 mm3 vs 1258.1 mm3). The smaller mean increases were observed specifically in the deep white matter regions of the left anterior corona radiata (intensive treatment, 30.3 mm3 [95% CI, 16.0-44.5 mm3]; standard treatment, 80.5 mm3 [95% CI, 53.8-107.2 mm3]), left tapetum (intensive treatment, 11.8 mm3 [95% CI, 4.4-19.2 mm3]; standard treatment, 27.2 mm3 [95% CI, 19.4-35.0 mm3]), left superior fronto-occipital fasciculus (intensive treatment, 3.2 mm3 [95% CI, 0.7-5.8 mm3]; standard treatment, 9.4 mm3 [95% CI, 5.5-13.4 mm3]), left posterior corona radiata (intensive treatment, 26.0 mm3 [95% CI, 12.9-39.1 mm3]; standard treatment, 52.3 mm3 [95% CI, 34.8-69.8 mm3]), left splenium of the corpus callosum (intensive treatment, 45.4 mm3 [95% CI, 25.1-65.7 mm3]; standard treatment, 83.0 mm3 [95% CI, 58.7-107.2 mm3]), left posterior thalamic radiation (intensive treatment, 53.0 mm3 [95% CI, 29.8-76.2 mm3]; standard treatment, 106.9 mm3 [95% CI, 73.4-140.3 mm3]), and right posterior thalamic radiation (intensive treatment, 49.5 mm3 [95% CI, 24.3-74.7 mm3]; standard treatment, 102.6 mm3 [95% CI, 71.0-134.2 mm3]). CONCLUSIONS AND RELEVANCE This study suggests that intensive BP treatment, compared with standard treatment, was associated with a slower increase of WMLs, improved diffusion tensor imaging, and FA and CBF changes in several brain regions that represent vulnerable areas that may benefit from more strict BP control. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- 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 San Antonio, San Antonio
| | - 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 San Antonio, San Antonio
| | - Jon B. Toledo
- Department of Neurology, University of Florida, Gainesville
- Department of Neurology, Houston Methodist Hospital, Houston, Texas
| | - Ilya Nasrallah
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Nicholas M. Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sudipto Dolui
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - John Detre
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Hangfan Liu
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | | | - R. Nick Bryan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - Jeff Williamson
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christos Davatzikos
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, 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 San Antonio, San Antonio
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - 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 San Antonio, San Antonio
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
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7
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Wu S, Tyler LK, Henson RNA, Rowe JB, Cam-Can, Tsvetanov KA. Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the adult lifespan. Neurobiol Aging 2023; 121:1-14. [PMID: 36306687 PMCID: PMC7613814 DOI: 10.1016/j.neurobiolaging.2022.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 10/14/2022]
Abstract
The preservation of cognitive function in old age is a public health priority. Cerebral hypoperfusion is a hallmark of dementia but its impact on maintaining cognitive ability across the lifespan is less clear. We investigated the relationship between baseline cerebral blood flow (CBF) and blood oxygenation level-dependent (BOLD) response during a fluid reasoning task in a population-based adult lifespan cohort. As age differences in CBF could lead to non-neuronal contributions to the BOLD signal, we introduced commonality analysis to neuroimaging to dissociate performance-related CBF effects from the physiological confounding effects of CBF on the BOLD response. Accounting for CBF, we confirmed that performance- and age-related differences in BOLD responses in the multiple-demand network were implicated in fluid reasoning. Age differences in CBF explained not only performance-related BOLD responses but also performance-independent BOLD responses. Our results suggest that CBF is important for maintaining cognitive function, while its non-neuronal contributions to BOLD signals reflect an age-related confound. Maintaining perfusion into old age may serve to support brain function and preserve cognitive performance.
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Affiliation(s)
- Shuyi Wu
- Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge, UK; Department of Management, School of Business, Hong Kong Baptist University, Hong Kong, China
| | - Lorraine K Tyler
- Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge, UK
| | - Richard N A Henson
- Medical Research Council Cognition and Brain Sciences Unit, Department of Psychiatry, Cambridge, UK
| | - James B Rowe
- Medical Research Council Cognition and Brain Sciences Unit, Department of Psychiatry, Cambridge, UK; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Cam-Can
- Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge, UK; Medical Research Council Cognition and Brain Sciences Unit, Department of Psychiatry, Cambridge, UK
| | - Kamen A Tsvetanov
- Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge, UK; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
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8
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Paschoal AM, Secchinatto KF, da Silva PHR, Zotin MCZ, Dos Santos AC, Viswanathan A, Pontes-Neto OM, Leoni RF. Contrast-agent-free state-of-the-art MRI on cerebral small vessel disease-part 1. ASL, IVIM, and CVR. NMR IN BIOMEDICINE 2022; 35:e4742. [PMID: 35429194 DOI: 10.1002/nbm.4742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
Cerebral small vessel disease (cSVD), a common cause of stroke and dementia, is traditionally considered the small vessel equivalent of large artery occlusion or rupture that leads to cortical and subcortical brain damage. Microvessel endothelial dysfunction can also contribute to it. Brain imaging, including MRI, is useful to show the presence of lesions of several types, although the association between conventional MRI measures and clinical features of cSVD is not always concordant. We assessed the additional contribution of contrast-agent-free, state-of-the-art MRI techniques such as arterial spin labeling (ASL), diffusion tensor imaging, functional MRI, and intravoxel incoherent motion (IVIM) applied to cSVD in the existing literature. We performed a review following the PICO Worksheet and Search Strategy, including original papers in English, published between 2000 and 2022. For each MRI method, we extracted information about their contributions, in addition to those established with traditional MRI methods and related information about the origins, pathology, markers, and clinical outcomes in cSVD. This paper presents the first part of the review, which includes 37 studies focusing on ASL, IVIM, and cerebrovascular reactivity (CVR) measures. In general, they have shown that, in addition to white matter hyperintensities, alterations in other neuroimaging parameters such as blood flow and CVR also indicate the presence of cSVD. Such quantitative parameters were also related to cSVD risk factors. Therefore, they are promising, noninvasive tools to explore questions that have not yet been clarified about this clinical condition. However, protocol standardization is essential to increase their clinical use.
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Affiliation(s)
- André Monteiro Paschoal
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | | | | | - Maria Clara Zanon Zotin
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Antônio Carlos Dos Santos
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Octavio M Pontes-Neto
- Department of Neurosciences and Behavioral Science, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Renata Ferranti Leoni
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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9
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Blair GW, Janssen E, Stringer MS, Thrippleton MJ, Chappell F, Shi Y, Hamilton I, Flaherty K, Appleton JP, Doubal FN, Bath PM, Wardlaw JM. Effects of Cilostazol and Isosorbide Mononitrate on Cerebral Hemodynamics in the LACI-1 Randomized Controlled Trial. Stroke 2021; 53:29-33. [PMID: 34847709 PMCID: PMC8700302 DOI: 10.1161/strokeaha.121.034866] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Supplemental Digital Content is available in the text. Cerebral small vessel disease—a major cause of stroke and dementia—is associated with cerebrovascular dysfunction. We investigated whether short-term isosorbide mononitrate (ISMN) and cilostazol, alone or in combination, improved magnetic resonance imaging–measured cerebrovascular function in patients with lacunar ischemic stroke.
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Affiliation(s)
- Gordon W Blair
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Esther Janssen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands (E.J.)
| | - Michael S Stringer
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Michael J Thrippleton
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Francesca Chappell
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Yulu Shi
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Iona Hamilton
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Katie Flaherty
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.)
| | - Jason P Appleton
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.).,Stroke, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Mindelsohn Way, United Kingdom (J.P.A.)
| | - Fergus N Doubal
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Philip M Bath
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.).,Stroke, Queen's Medical Centre Campus, Nottingham University Hospitals NHS Trust, United Kingdom (P.M.B.)
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
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10
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Claassen JAHR, Thijssen DHJ, Panerai RB, Faraci FM. Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation. Physiol Rev 2021; 101:1487-1559. [PMID: 33769101 PMCID: PMC8576366 DOI: 10.1152/physrev.00022.2020] [Citation(s) in RCA: 443] [Impact Index Per Article: 110.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Brain function critically depends on a close matching between metabolic demands, appropriate delivery of oxygen and nutrients, and removal of cellular waste. This matching requires continuous regulation of cerebral blood flow (CBF), which can be categorized into four broad topics: 1) autoregulation, which describes the response of the cerebrovasculature to changes in perfusion pressure; 2) vascular reactivity to vasoactive stimuli [including carbon dioxide (CO2)]; 3) neurovascular coupling (NVC), i.e., the CBF response to local changes in neural activity (often standardized cognitive stimuli in humans); and 4) endothelium-dependent responses. This review focuses primarily on autoregulation and its clinical implications. To place autoregulation in a more precise context, and to better understand integrated approaches in the cerebral circulation, we also briefly address reactivity to CO2 and NVC. In addition to our focus on effects of perfusion pressure (or blood pressure), we describe the impact of select stimuli on regulation of CBF (i.e., arterial blood gases, cerebral metabolism, neural mechanisms, and specific vascular cells), the interrelationships between these stimuli, and implications for regulation of CBF at the level of large arteries and the microcirculation. We review clinical implications of autoregulation in aging, hypertension, stroke, mild cognitive impairment, anesthesia, and dementias. Finally, we discuss autoregulation in the context of common daily physiological challenges, including changes in posture (e.g., orthostatic hypotension, syncope) and physical activity.
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Affiliation(s)
- Jurgen A H R Claassen
- Department of Geriatrics, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - Dick H J Thijssen
- Department of Physiology, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Ronney B Panerai
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- >National Institute for Health Research Leicester Biomedical Research Centre, University of Leicester, Leicester, United Kingdom
| | - Frank M Faraci
- Departments of Internal Medicine, Neuroscience, and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, Iowa
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11
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MacDonald ME, Pike GB. MRI of healthy brain aging: A review. NMR IN BIOMEDICINE 2021; 34:e4564. [PMID: 34096114 DOI: 10.1002/nbm.4564] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 05/08/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
We present a review of the characterization of healthy brain aging using MRI with an emphasis on morphology, lesions, and quantitative MR parameters. A scope review found 6612 articles encompassing the keywords "Brain Aging" and "Magnetic Resonance"; papers involving functional MRI or not involving imaging of healthy human brain aging were discarded, leaving 2246 articles. We first consider some of the biogerontological mechanisms of aging, and the consequences of aging in terms of cognition and onset of disease. Morphological changes with aging are reviewed for the whole brain, cerebral cortex, white matter, subcortical gray matter, and other individual structures. In general, volume and cortical thickness decline with age, beginning in mid-life. Prevalent silent lesions such as white matter hyperintensities, microbleeds, and lacunar infarcts are also observed with increasing frequency. The literature regarding quantitative MR parameter changes includes T1 , T2 , T2 *, magnetic susceptibility, spectroscopy, magnetization transfer, diffusion, and blood flow. We summarize the findings on how each of these parameters varies with aging. Finally, we examine how the aforementioned techniques have been used for age prediction. While relatively large in scope, we present a comprehensive review that should provide the reader with sound understanding of what MRI has been able to tell us about how the healthy brain ages.
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Affiliation(s)
- M Ethan MacDonald
- Department of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - G Bruce Pike
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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12
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van Dalen JW, Mutsaerts HJ, Petr J, Caan MW, van Charante EPM, MacIntosh BJ, van Gool WA, Nederveen AJ, Richard E. Longitudinal relation between blood pressure, antihypertensive use and cerebral blood flow, using arterial spin labelling MRI. J Cereb Blood Flow Metab 2021; 41:1756-1766. [PMID: 33325767 PMCID: PMC8217888 DOI: 10.1177/0271678x20966975] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Consistent cerebral blood flow (CBF) is fundamental to brain function. Cerebral autoregulation ensures CBF stability. Chronic hypertension can lead to disrupted cerebral autoregulation in older people, potentially leading to blood pressure levels interfering with CBF. This study tested whether low BP and AHD use are associated with contemporaneous low CBF, and whether longitudinal change in BP is associated with change in CBF, using arterial spin labelling (ASL) MRI, in a prospective longitudinal cohort of 186 community-dwelling older individuals with hypertension (77 ± 3 years, 53% female), 125 (67%) of whom with 3-year follow-up. Diastolic blood pressure, systolic blood pressure, mean arterial pressure, and pulse pressure were assessed as blood pressure parameters. As additional cerebrovascular marker, we evaluated the ASL signal spatial coefficient of variation (ASL SCoV), a measure of ASL signal heterogeneity that may reflect cerebrovascular health. We found no associations between any of the blood pressure measures and concurrent CBF nor between changes in blood pressure measures and CBF over three-year follow-up. Antihypertensive use was associated with lower grey matter CBF (-5.49 ml/100 g/min, 95%CI = -10.7|-0.27, p = 0.04) and higher ASL SCoV (0.32 SD, 95%CI = 0.12|0.52, p = 0.002). These results warrant future research on the potential relations between antihypertensive use and cerebral perfusion.
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Affiliation(s)
- Jan Willem van Dalen
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Henri Jmm Mutsaerts
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Jan Petr
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Matthan Wa Caan
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Willem A van Gool
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Aart J Nederveen
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Edo Richard
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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13
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Ostroumova TM, Ostroumova OD, Parfenov VA, Perepelova EM, Perepelov VA, Kochetkov AI. Effect of Perindopril/Indapamide on Cerebral Blood Flow in Middle-Aged, Treatment-Naïve Patients with Hypertension. Adv Ther 2020; 37:4930-4943. [PMID: 33026579 DOI: 10.1007/s12325-020-01515-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 09/23/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION The relationship between blood pressure (BP) and cerebral blood flow (CBF) is not fully understood. This study evaluated the impact of a perindopril arginine/indapamide (Pa/I) single-pill combination (SPC) on CBF in middle-aged patients. METHODS A total of 22 treatment-naïve patients with essential hypertension and at least one hypertension-mediated organ damage and 41 healthy controls were enrolled. At baseline, all participants underwent brain magnetic resonance imaging (MRI); patients with hypertension underwent an additional MRI at end of follow-up. Arterial spin labeling (ASL) was used to calculate CBF in the frontal lobe cortical plate. Patients with hypertension received once-daily Pa/I 5 mg/1.25 mg SPC, which could be increased to Pa/I 10 mg/2.5 mg at 2 weeks if necessary. Patients with hypertension underwent 24-h ambulatory BP monitoring (ABPM) at baseline and end of follow-up. RESULTS Mean baseline BP values were 146.2/93.1 and 119.1/76.1 mmHg in the hypertension and control groups, respectively. Patients with hypertension had significantly (p < 0.001) lower CBF in the cortical plate of both left (36.2 ± 8.3 vs. 45.3 ± 3.5 ml/100 g/min) and right (37.9 ± 7.9 vs. 45.8 ± 3.2 ml/100 g/min) frontal lobes compared to normotensive controls. At the end of follow-up, there was a statistically significant (p < 0.001) increase in CBF in the cortical plate of both left (from 36.2 ± 8.3 to 47.5 ± 9.8 ml/100 g/min) and right frontal lobes (from 37.9 ± 7.9 to 47.4 ± 10.1 ml/100 g/min) compared to baseline. No significant difference was found between end of follow-up CBF levels in frontal lobes of patients with hypertension and those of healthy controls at baseline. Office BP decreased by 24.2/15.5 mmHg and 24-h ABPM from 145.5/95.3 to 120.8/79.3 mmHg. CONCLUSION In middle-aged, treatment-naïve patients with hypertension, Pa/I SPC was associated with increased CBF in the cortical plate of the frontal lobes, which achieved levels of normotensive controls. The increase in CBF had no clear association with observed BP changes. REGISTRATION NUMBER ISRCTN67799751.
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Affiliation(s)
- Tatiana M Ostroumova
- Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia.
| | - Olga D Ostroumova
- Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
- Federal State Budgetary Educational Institution of Further Professional Education "Russian Medical Academy of Continuous Professional Education" of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | - Vladimir A Parfenov
- Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Elena M Perepelova
- Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Vsevolod A Perepelov
- Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Alexey I Kochetkov
- Federal State Budgetary Educational Institution of Further Professional Education "Russian Medical Academy of Continuous Professional Education" of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
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14
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McGurran H, Glenn JM, Madero EN, Bott NT. Prevention and Treatment of Alzheimer's Disease: Biological Mechanisms of Exercise. J Alzheimers Dis 2020; 69:311-338. [PMID: 31104021 DOI: 10.3233/jad-180958] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Alzheimer's disease (AD) is the most common form of dementia. With an aging population and no disease modifying treatments available, AD is quickly becoming a global pandemic. A substantial body of research indicates that lifestyle behaviors contribute to the development of AD, and that it may be worthwhile to approach AD like other chronic diseases such as cardiovascular disease, in which prevention is paramount. Exercise is an important lifestyle behavior that may influence the course and pathology of AD, but the biological mechanisms underpinning these effects remain unclear. This review focuses on how exercise can modify four possible mechanisms which are involved with the pathology of AD: oxidative stress, inflammation, peripheral organ and metabolic health, and direct interaction with AD pathology. Exercise is just one of many lifestyle behaviors that may assist in preventing AD, but understanding the systemic and neurobiological mechanisms by which exercise affects AD could help guide the development of novel pharmaceutical agents and non-pharmacological personalized lifestyle interventions for at-risk populations.
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Affiliation(s)
- Hugo McGurran
- Research Master's Programme Brain and Cognitive Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Nicholas T Bott
- Neurotrack Technologies Inc., Redwood City, CA, USA.,Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Department of Psychology, PGSP-Stanford Consortium, Palo Alto University, Palo Alto, CA, USA
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15
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The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019). Hypertens Res 2020; 42:1235-1481. [PMID: 31375757 DOI: 10.1038/s41440-019-0284-9] [Citation(s) in RCA: 1237] [Impact Index Per Article: 247.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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16
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Cerebral macro- and microcirculatory blood flow dynamics in successfully treated chronic hypertensive patients with and without white mater lesions. Sci Rep 2020; 10:9213. [PMID: 32514031 PMCID: PMC7280202 DOI: 10.1038/s41598-020-66317-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 05/18/2020] [Indexed: 01/14/2023] Open
Abstract
The mechanisms of high blood pressure (HBP) -related brain pathology progression remain relatively unclear. We investigated whether lowering BP in chronic HBP patients normalizes cerebral perfusion dynamics at resistance vessel and capillary levels. Sixty-seven patients with HBP and 49 age- and sex-matched healthy controls underwent simultaneous recordings of middle cerebral artery blood flow velocity (CBFV), BP, and end-tidal CO2 concentration. Thirty-four controls and 28 patients underwent additional near-infrared spectroscopy recordings (oxygenated [O2Hb] and deoxygenated [HHb] hemoglobin). Degree of microcirculatory white matter lesions was graded by Fazekas scale. Dynamic cerebral autoregulation (dCA) was assessed by transfer function analysis. BP was successfully lowered (patients = 89 ± 15 mm Hg, controls = 87 ± 17), but cerebrovascular resistance was higher in BP patients (p < 0.05). BP-CBFV phase was lower in very low frequency (VLF) (left/right: 48 ± 20°/44 ± 17; controls: 61 ± 20/60 ± 21; p < 0.001) and low frequency (LF) (34 ± 14/35 ± 14; controls: 48 ± 20/44 ± 17; p < 0.05) ranges. Gain was higher in VLF range (in %/ mm Hg 0.56 ± 0.44/0.59 ± 0.49; controls: 0.32 ± 0.29/0.34 ± 0.32; p ≤ 0.005). BP-CBFV phase and gain did not differ across Fazekas groups. Across all patients, the capillary phases and gains (CBFV-[O2Hb], CBFV-[HHb]) were comparable to controls. Successfully treated chronic HBP results in normal brain capillary hemodynamics while the resistance vessel state is disturbed (phase decrease, gain increase).
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17
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MacIntosh BJ, Shirzadi Z, Atwi S, Detre JA, Dolui S, Bryan RN, Launer LJ, Swardfager W. Metabolic and vascular risk factors are associated with reduced cerebral blood flow and poorer midlife memory performance. Hum Brain Mapp 2019; 41:855-864. [PMID: 31651075 PMCID: PMC7267901 DOI: 10.1002/hbm.24844] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 08/16/2019] [Accepted: 10/04/2019] [Indexed: 12/17/2022] Open
Abstract
Midlife metabolic and vascular risk factors (MVRFs) predict cognitive decline and dementia; however, these risk factors tend to overlap, and the mechanisms underlying their effects on cognitive performance are not well understood. This cross-sectional study investigates the contributions of MVRFs to regional cerebral blood flow (CBF) and verbal learning & memory among middle-aged adults. We used partial least squares (PLS) analysis to create latent risk factor profiles and examine their associations to CBF in 93 regions of interest among 451 participants (age 50.3 ± 3.5 years) of the Coronary Artery Risk Development in Young Adults. This multivariate analysis revealed regional CBF was lower in relation to obesity (higher body mass index and waist circumference), dysregulated glucose homeostasis (higher fasting glucose, oral glucose tolerance, and higher fasting insulin), and adverse fasting lipid profile (lower high-density lipoprotein cholesterol and higher triglycerides). In a sensitivity analysis, we found that significant associations between MVRFs and CBF were prominent in the hypertension-medicated subgroup. In a mediation model, the PLS-based MVRFs profile was associated with memory performance (rey auditory verbal learning test); however, CBF was not a significant mediator of this association. The results describe an adverse midlife metabolic profile that might set the stage for incipient dementia and contribute to widespread changes in CBF.
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Affiliation(s)
- Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Zahra Shirzadi
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Atwi
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert Nick Bryan
- Department of Diagnostic Medicine, University of Texas, Austin, Austin, Texas
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland
| | - Walter Swardfager
- Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,KITE, UHN-Toronto Rehab, Toronto, Ontario, Canada
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18
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Orthostatic hypotension in older persons is not associated with cognitive functioning, features of cerebral damage or cerebral blood flow. J Hypertens 2019; 36:1201-1206. [PMID: 29373479 DOI: 10.1097/hjh.0000000000001681] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Particularly in old age, orthostatic hypotension has been related to worse cognitive functioning, possibly caused by reduced cerebral blood flow (CBF). This study investigates whether orthostatic hypotension in older people is associated with cognitive dysfunction and, if so, whether this association is mediated by cerebral vascular damage and/or decreased CBF. METHODS Four hundred and twenty participants of the Discontinuation of ANtihypertensive Treatment in Elderly People (DANTE) Study Leiden (mean age 81 years, all using antihypertensive medication and with mild cognitive deficits), and MRI data from 214 participants of the nested DANTE MRI sub-study. Orthostatic hypotension was defined as either a SBP decrease at least 20 mmHg and/or a DBP decrease of at least 10 mmHg within 3 min of standing up. Cognitive functioning was assessed using a battery of six cognitive tests covering global cognition, memory function, executive function and psychomotor speed. Cerebral vascular damage and CBF were assessed using MRI. RESULTS The prevalence of orthostatic hypotension was 47% (n = 199). Compared with the group without orthostatic hypotension, participants with orthostatic hypotension showed no differences in any of the cognitive functions, features of cerebral small vessel disease, microstructural integrity or CBF. CONCLUSION In this population of older persons, the presence of orthostatic hypotension was not associated with decreased cognition. In addition, no differences were found in the supposedly underlying cerebral vascular mechanisms.
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19
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Glodzik L, Rusinek H, Tsui W, Pirraglia E, Kim HJ, Deshpande A, Li Y, Storey P, Randall C, Chen J, Osorio RS, Butler T, Tanzi E, McQuillan M, Harvey P, Williams SK, Ogedegbe OG, Babb JS, de Leon MJ. Different Relationship Between Systolic Blood Pressure and Cerebral Perfusion in Subjects With and Without Hypertension. Hypertension 2019; 73:197-205. [PMID: 30571554 PMCID: PMC7986962 DOI: 10.1161/hypertensionaha.118.11233] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although there is an increasing agreement that hypertension is associated with cerebrovascular compromise, relationships between blood pressure (BP) and cerebral blood flow are not fully understood. It is not known what BP level, and consequently what therapeutic goal, is optimal for brain perfusion. Moreover, there is limited data on how BP affects hippocampal perfusion, a structure critically involved in memory. We conducted a cross-sectional (n=445) and longitudinal (n=185) study of adults and elderly without dementia or clinically apparent stroke, who underwent clinical examination and brain perfusion assessment (age 69.2±7.5 years, 62% women, 45% hypertensive). Linear models were used to test baseline BP-blood flow relationship and to examine how changes in BP influence changes in perfusion. In the entire group, systolic BP (SBP) was negatively related to cortical (β=-0.13, P=0.005) and hippocampal blood flow (β=-0.12, P=0.01). Notably, this negative relationship was apparent already in subjects without hypertension. Hypertensive subjects showed a quadratic relationship between SBP and hippocampal blood flow (β=-1.55, P=0.03): Perfusion was the highest in subjects with mid-range SBP around 125 mm Hg. Longitudinally, in hypertensive subjects perfusion increased with increased SBP at low baseline SBP but increased with decreased SBP at high baseline SBP. Cortical and hippocampal perfusion decrease with increasing SBP across the entire BP spectrum. However, in hypertension, there seems to be a window of mid-range SBP which maximizes perfusion.
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Affiliation(s)
- Lidia Glodzik
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York,Department of Radiology, NYU School of Medicine, New York,Corresponding author: Lidia Glodzik, Center for Brain Health, Department of Psychiatry, NYU School of Medicine, 145 East 32 Street, New York, NY, 10016. Tel: 212-263-5698, Fax: 212-263-3270;
| | - Henry Rusinek
- Department of Radiology, NYU School of Medicine, New York
| | - Wai Tsui
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Elizabeth Pirraglia
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Hee-Jin Kim
- Department of Neurology, Konkuk University College of Medicine, Seoul, South Korea
| | - Anup Deshpande
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Yi Li
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Pippa Storey
- Department of Radiology, NYU School of Medicine, New York
| | - Catherine Randall
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Jingyun Chen
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Ricardo S. Osorio
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Tracy Butler
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Emily Tanzi
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | - Molly McQuillan
- The Eugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, Woods Hole, Massachusetts
| | - Patrick Harvey
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
| | | | | | - James S. Babb
- Department of Radiology, NYU School of Medicine, New York
| | - Mony J. de Leon
- Center for Brain Health, Department of Psychiatry, New York University (NYU) School of Medicine, New York
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20
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de Heus RA, de Jong DL, Sanders ML, van Spijker GJ, Oudegeest-Sander MH, Hopman MT, Lawlor BA, Olde Rikkert MG, Claassen JA. Dynamic Regulation of Cerebral Blood Flow in Patients With Alzheimer Disease. Hypertension 2018; 72:139-150. [DOI: 10.1161/hypertensionaha.118.10900] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 02/09/2018] [Accepted: 04/05/2018] [Indexed: 01/18/2023]
Abstract
Cerebral autoregulation and baroreflex sensitivity are key mechanisms that maintain cerebral blood flow. This study assessed whether these control mechanisms are affected in patients with dementia and mild cognitive impairment due to Alzheimer disease, as this would increase the risks of antihypertensive treatment. We studied 53 patients with dementia (73.1 years [95% confidence interval (CI), 71.4–74.8]), 37 patients with mild cognitive impairment (69.2 years [95% CI, 66.4–72.0]), and 47 controls (69.4 years [95% CI, 68.3–70.5]). Beat-to-beat blood pressure (photoplethysmography), heart rate, and cerebral blood flow velocity (transcranial Doppler) were measured during 5-minute rest (sitting) and 5 minutes of orthostatic challenges, using repeated sit-to-stand maneuvers. Cerebral autoregulation was assessed using transfer function analysis and the autoregulatory index. Baroreflex sensitivity was estimated with transfer function analysis and by calculating the heart rate response to blood pressure changes during the orthostatic challenges. Dementia patients had the lowest cerebral blood flow velocity (
P
=0.004). During rest, neither transfer function analysis nor the autoregulatory index indicated impairments in cerebral autoregulation. During the orthostatic challenges, higher autoregulatory index (
P
=0.011) and lower transfer function gain (
P
=0.017), indicating better cerebral autoregulation, were found in dementia (4.56 arb. unit [95% CI, 4.14–4.97]; 0.59 cm/s per mm Hg [95% CI, 0.51–0.66]) and mild cognitive impairment (4.59 arb. unit [95% CI, 4.04–5.13]; 0.51 cm/s per mm Hg [95% CI, 0.44–0.59]) compared with controls (3.71 arb. unit [95% CI, 3.35–4.07]; 0.67 cm/s per mm Hg [95% CI, 0.59–0.74]). Baroreflex sensitivity measures did not differ between groups. In conclusion, the key mechanisms to control blood pressure and cerebral blood flow are not reduced in 2 stages of Alzheimer disease compared with controls, both in rest and during orthostatic changes that reflect daily life challenges.
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Affiliation(s)
- Rianne A.A. de Heus
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Daan L.K. de Jong
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Marit L. Sanders
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Gerrita J. van Spijker
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Madelijn H. Oudegeest-Sander
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Department of Physiology (M.H.O.-S., M.T.H.), Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Maria T. Hopman
- Department of Physiology (M.H.O.-S., M.T.H.), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Brian A. Lawlor
- Mercer's Institute for Research on Ageing, St. James's Hospital and Global Brain Health Institute, Trinity College Dublin, Ireland (B.A.L.)
| | - Marcel G.M. Olde Rikkert
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
| | - Jurgen A.H.R. Claassen
- From the Department of Geriatric Medicine, Radboud Alzheimer Centre (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
- Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands (R.A.A.d.H., D.L.K.d.J., M.L.S., G.J.v.S., M.H.O.-S., M.G.M.O.R., J.A.H.R.C.)
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21
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Blair GW, Hernandez MV, Thrippleton MJ, Doubal FN, Wardlaw JM. Advanced Neuroimaging of Cerebral Small Vessel Disease. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2017. [PMID: 28620783 PMCID: PMC5486578 DOI: 10.1007/s11936-017-0555-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Cerebral small vessel disease (SVD) is characterised by damage to deep grey and white matter structures of the brain and is responsible for a diverse range of clinical problems that include stroke and dementia. In this review, we describe advances in neuroimaging published since January 2015, mainly with magnetic resonance imaging (MRI), that, in general, are improving quantification, observation and investigation of SVD focussing on three areas: quantifying the total SVD burden, imaging brain microstructural integrity and imaging vascular malfunction. Methods to capture ‘whole brain SVD burden’ across the spectrum of SVD imaging changes will be useful for patient stratification in clinical trials, an approach that we are already testing. More sophisticated imaging measures of SVD microstructural damage are allowing the disease to be studied at earlier stages, will help identify specific factors that are important in development of overt SVD imaging features and in understanding why specific clinical consequences may occur. Imaging vascular function will help establish the precise blood vessel and blood flow alterations at early disease stages and, together with microstructural integrity measures, may provide important surrogate endpoints in clinical trials testing new interventions. Better knowledge of SVD pathophysiology will help identify new treatment targets, improve patient stratification and may in future increase efficiency of clinical trials through smaller sample sizes or shorter follow-up periods. However, most of these methods are not yet sufficiently mature to use with confidence in clinical trials, although rapid advances in the field suggest that reliable quantification of SVD lesion burden, tissue microstructural integrity and vascular dysfunction are imminent.
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Affiliation(s)
- Gordon W Blair
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Maria Valdez Hernandez
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Michael J Thrippleton
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Fergus N Doubal
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Joanna M Wardlaw
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK.
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22
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Kato K, Miyata S, Ando M, Matsuoka H, Yasuma F, Iwamoto K, Kawano N, Banno M, Ozaki N, Noda A. Influence of sleep duration on cortical oxygenation in elderly individuals. Psychiatry Clin Neurosci 2017; 71:44-51. [PMID: 27696589 DOI: 10.1111/pcn.12464] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 08/30/2016] [Accepted: 09/26/2016] [Indexed: 12/31/2022]
Abstract
AIM Short sleep duration is a risk factor for cardiovascular diseases. Cerebral blood flow and its regulation are affected by pathological conditions commonly observed in the elderly population, such as dementia, atherosclerosis, diabetes mellitus (DM), stroke, and hypertension. The purpose of this study was to examine the influence of sleep duration on cortical oxygenated hemoglobin (OxyHb) using near-infrared spectroscopy (NIRS). METHODS Seventy-three individuals (age, 70.1 ± 3.9 years, 51 men and 22 women) participated in this study. Cortical OxyHb levels were measured with NIRS. We evaluated age, body mass index (BMI), smoking status, alcohol intake, sleep duration, hypertension, DM, and hyperlipidemia using a questionnaire. Blood pressure was measured using plethysmography. RESULTS Peak OxyHb and area under the NIRS curve significantly decreased in participants with sleep duration <7 h compared with those with sleep duration ≥7 h (0.136 ± 0.212 mM·mm vs 0.378 ± 0.342 mM·mm, P = 0.001; 112.0 ± 243.6 vs 331.7 ± 428.7, P = 0.012, respectively). Sleep duration was significantly correlated with peak OxyHb level and area under the NIRS curve (r = 0.378, P = 0.001; r = 0.285, P = 0.015, respectively). Multiple regression analysis, including age, BMI, sex, smoking status, alcohol intake, sleep duration, hypertension, DM, and hyperlipidemia revealed that sleep duration was the only significant independent factor associated with peak OxyHb and area under the NIRS curve (β = 0.343, P = 0.004; β = 0.244, P = 0.049, respectively), and smoking status was independently correlated with time to the peak OxyHb (β = -0.319, P = 0.009). CONCLUSION Sleep duration may be an important factor that influences cortical oxygenation in the elderly population.
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Affiliation(s)
- Kazuko Kato
- Chubu University Graduate School of Life and Health Sciences, Aichi, Japan
| | - Seiko Miyata
- Department of Sleep Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan.,Education and Training Center of Medical Technology, Chubu University, Aichi, Japan
| | - Motoo Ando
- Education and Training Center of Medical Technology, Chubu University, Aichi, Japan
| | - Hiroki Matsuoka
- Chubu University Graduate School of Life and Health Sciences, Aichi, Japan
| | - Fumihiko Yasuma
- Department of Internal Medicine, National Hospital Organization Suzuka Hospital, Mie, Japan
| | - Kunihiro Iwamoto
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Naoko Kawano
- Institutes of Innovation for Future Society, Nagoya University, Aichi, Japan
| | - Masahiro Banno
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan.,Seichiryo Hospital, Aichi, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Akiko Noda
- Chubu University Graduate School of Life and Health Sciences, Aichi, Japan.,Education and Training Center of Medical Technology, Chubu University, Aichi, Japan
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23
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Deverdun J, Akbaraly TN, Charroud C, Abdennour M, Brickman AM, Chemouny S, Steffener J, Portet F, Bonafe A, Stern Y, Ritchie K, Molino F, Le Bars E, Menjot de Champfleur N. Mean arterial pressure change associated with cerebral blood flow in healthy older adults. Neurobiol Aging 2016; 46:49-57. [DOI: 10.1016/j.neurobiolaging.2016.05.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Revised: 05/06/2016] [Accepted: 05/11/2016] [Indexed: 11/25/2022]
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24
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Foster-Dingley JC, Hafkemeijer A, van den Berg-Huysmans AA, Moonen JEF, de Ruijter W, de Craen AJM, van der Mast RC, Rombouts SARB, van der Grond J. Structural Covariance Networks and Their Association with Age, Features of Cerebral Small-Vessel Disease, and Cognitive Functioning in Older Persons. Brain Connect 2016; 6:681-690. [PMID: 27506114 DOI: 10.1089/brain.2016.0434] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Recently, cerebral structural covariance networks (SCNs) have been shown to partially overlap with functional networks. However, although for some of these SCNs a strong association with age is reported, less is known about the association of individual SCNs with separate cognition domains and the potential mediation effect in this of cerebral small vessel disease (SVD). In 219 participants (aged 75-96 years) with mild cognitive deficits, 8 SCNs were defined based on structural covariance of gray matter intensity with independent component analysis on 3DT1-weighted magnetic resonance imaging (MRI). Features of SVD included volume of white matter hyperintensities (WMH), lacunar infarcts, and microbleeds. Associations with SCNs were examined with multiple linear regression analyses, adjusted for age and/or gender. In addition to higher age, which was associated with decreased expression of subcortical, premotor, temporal, and occipital-precuneus networks, the presence of SVD and especially higher WMH volume was associated with a decreased expression in the occipital, cerebellar, subcortical, and anterior cingulate network. The temporal network was associated with memory (p = 0.005), whereas the cerebellar-occipital and occipital-precuneus networks were associated with psychomotor speed (p = 0.002 and p < 0.001). Our data show that a decreased expression of specific networks, including the temporal and occipital lobe and cerebellum, was related to decreased cognitive functioning, independently of age and SVD. This indicates the potential of SCNs in substantiating cognitive functioning in older persons.
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Affiliation(s)
| | - Anne Hafkemeijer
- 2 Department of Methodology and Statistics, Institute of Psychology, Leiden University , Leiden, the Netherlands .,3 Department of Radiology, Leiden University Medical Center , Leiden, the Netherlands .,4 Leiden Institute for Brain and Cognition, Leiden University , Leiden, the Netherlands
| | | | - Justine E F Moonen
- 1 Department of Psychiatry, Leiden University Medical Center , Leiden, the Netherlands
| | - Wouter de Ruijter
- 5 Department of Public Health and Primary Care, Leiden University Medical Center , Leiden, the Netherlands
| | - Anton J M de Craen
- 6 Department of Gerontology and Geriatrics, Leiden University Medical Center , Leiden, the Netherlands
| | - Roos C van der Mast
- 1 Department of Psychiatry, Leiden University Medical Center , Leiden, the Netherlands .,7 Department of Psychiatry, CAPRI-University of Antwerp , Antwerp, Belgium
| | - Serge A R B Rombouts
- 2 Department of Methodology and Statistics, Institute of Psychology, Leiden University , Leiden, the Netherlands .,3 Department of Radiology, Leiden University Medical Center , Leiden, the Netherlands .,4 Leiden Institute for Brain and Cognition, Leiden University , Leiden, the Netherlands
| | - Jeroen van der Grond
- 3 Department of Radiology, Leiden University Medical Center , Leiden, the Netherlands
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25
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Benetos A, Bulpitt CJ, Petrovic M, Ungar A, Agabiti Rosei E, Cherubini A, Redon J, Grodzicki T, Dominiczak A, Strandberg T, Mancia G. An Expert Opinion From the European Society of Hypertension-European Union Geriatric Medicine Society Working Group on the Management of Hypertension in Very Old, Frail Subjects. Hypertension 2016; 67:820-5. [PMID: 26975708 DOI: 10.1161/hypertensionaha.115.07020] [Citation(s) in RCA: 128] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Athanase Benetos
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.).
| | - Christopher J Bulpitt
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Mirko Petrovic
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Andrea Ungar
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Enrico Agabiti Rosei
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Antonio Cherubini
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Josep Redon
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Tomasz Grodzicki
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Anna Dominiczak
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Timo Strandberg
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
| | - Giuseppe Mancia
- From the Department of Geriatrics and FHU CARTAGE, CHU de Nancy and INSERM 1116, Université de Lorraine, Nancy, France (A.B.); Department of Medicine Imperial College, London, United Kingdom (C.J.B.); Department of Geriatrics, Ghent University Hospital, and Ghent University, Ghent, Belgium (M.P.); Geriatric Cardiology and Medicine, University of Florence and Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (A.U.); Clinica Medica, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy (E.A.R.); Geriatria ed Accettazione Geriatrica d'Urgenza, IRCCS-INRCA, Ancona, Italy (A.C.); Department of Internal Medicine Hospital Clínico de Valencia, INCLIVA Research Institute, University of Valencia, CIBERObn ISCiii, Madrid, Spain (J.R.); Department of Internal Medicine and Geriatrics, Jagiellonian University, Cracow, Poland (T.G.); College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom (A.D.); University of Helsinki, and Helsinki University Central Hospital, Geriatrics, Helsinki, and Center for Life Course Health Research, University of Oulu, Oulu, Finland (T.S.); and Department of Clinical Medicine, University of Milano-Bicocca, Milan, Italy (G.M.)
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Adebiyi AO, Ogunniyi A, Adediran BA, Olakehinde OO, Siwoku AA. Cognitive Impairment Among the Aging Population in a Community in Southwest Nigeria. HEALTH EDUCATION & BEHAVIOR 2016; 43:93S-9S. [DOI: 10.1177/1090198116635561] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background. Vascular risk models can be quite informative in assisting the clinician to make a prediction of an individual’s risk of cognitive impairment. Thus, a simple marker is a priority for low-capacity settings. This study examines the association of selected simple to deploy vascular markers with cognitive impairment in an elderly population. Method. This cross-sectional study assessed the cognitive functions of older persons 65 years and older in southwest Nigeria. Vascular parameters and risk factors were also measured. Analysis was done using SPSS, and logistic regression was used to explore the association between cognitive impairment and certain vascular risk factors such as elevated blood pressure, diabetes, and pulse pressure. Results. The study population comprised 623 participants (29.1% men) with mean age 73 ± 8.9 years. Having mean arterial pressure (MAP) and pulse pressure in the fourth quartiles (27% and 29.9%, respectively) was significantly associated with cognitive impairment ( p = .001, p < .001). Predicted cardiovascular risks of 10% or more was significantly associated with cognitive impairment ( p < .001). After adjusting for age, gender, educational level, and years of smoking, those with MAP in the fourth quartile were up to 3 times more likely to have cognitive impairment compared to those within the first quartile. Conclusion. Our study demonstrated that among elderly Nigerians, MAPs of 114 mmHg and more was an independent predictor of cognitive impairment. This is a simple measure that is available in low-capacity areas.
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Materson BJ, Garcia-Estrada M, Preston RA. Hypertension in the frail elderly. ACTA ACUST UNITED AC 2016; 10:536-41. [PMID: 27118485 DOI: 10.1016/j.jash.2016.03.187] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 02/23/2016] [Accepted: 03/20/2016] [Indexed: 02/04/2023]
Abstract
Extant data indicate that treating to lower systolic pressure confers significant advantage to younger people in general good health and to relatively healthy octogenarians. Few data exist to guide practitioners on the treatment of frail elderly hypertensives. Chronological age alone does not suffice to make useful judgments regarding therapy. The definition of frailty remains controversial. One method, use of a simple questionnaire or a test of walking speed is practical but not universally accepted. Frail subjects, while at higher risk for cardiovascular complications, seem to benefit less or not at all from antihypertensive drug treatment. Clinicians should treat robust older patients as they would younger patients because the benefits far outweigh the low risk of adverse effects. Successful antihypertensive therapy in those younger than 80 years should not be discontinued simply because that age milestone has been crossed. Treatment of frail older patients must be individualized. Some frail survivors age 80 years or older may actually fare better with elevated systolic pressures. Pending the cognitive function substudy of Systolic Blood Pressure Intervention Trial, there is little evidence that antihypertensive treatment benefits established cognitive dysfunction. Because hypertension in middle age is a good predictor of later cognitive dysfunction, the clinical approach should be one of early prevention.
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Affiliation(s)
- Barry J Materson
- Division of Clinical Pharmacology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
| | | | - Richard A Preston
- Chief Division of Clinical Pharmacology, Clinical Pharmacology Research Unit (CPRU), Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Cellular Biology and Pharmacology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
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Diaz-Otero JM, Garver H, Fink GD, Jackson WF, Dorrance AM. Aging is associated with changes to the biomechanical properties of the posterior cerebral artery and parenchymal arterioles. Am J Physiol Heart Circ Physiol 2016; 310:H365-75. [PMID: 26637558 PMCID: PMC4796626 DOI: 10.1152/ajpheart.00562.2015] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 12/02/2015] [Indexed: 12/15/2022]
Abstract
Artery remodeling, described as a change in artery structure, may be responsible for the increased risk of cardiovascular disease with aging. Although the risk for stroke is known to increase with age, relatively young animals have been used in most stroke studies. Therefore, more information is needed on how aging alters the biomechanical properties of cerebral arteries. Posterior cerebral arteries (PCAs) and parenchymal arterioles (PAs) are important in controlling brain perfusion. We hypothesized that aged (22-24 mo old) C57bl/6 mice would have stiffer PCAs and PAs than young (3-5 mo old) mice. The biomechanical properties of the PCAs and PAs were assessed by pressure myography. Data are presented as means ± SE of young vs. old. In the PCA, older mice had increased outer (155.6 ± 3.2 vs. 169.9 ± 3.2 μm) and lumen (116.4 ± 3.6 vs. 137.1 ± 4.7 μm) diameters. Wall stress (375.6 ± 35.4 vs. 504.7 ± 60.0 dyn/cm(2)) and artery stiffness (β-coefficient: 5.2 ± 0.3 vs. 7.6 ± 0.9) were also increased. However, wall strain (0.8 ± 0.1 vs. 0.6 ± 0.1) was reduced with age. In the PAs from old mice, wall thickness (3.9 ± 0.3 vs. 5.1 ± 0.2 μm) and area (591.1 ± 95.4 vs. 852.8 ± 100 μm(2)) were increased while stress (758.1 ± 100.0 vs. 587.2 ± 35.1 dyn/cm(2)) was reduced. Aging also increased mean arterial and pulse pressures. We conclude that age-associated remodeling occurs in large cerebral arteries and arterioles and may increase the risk of cerebrovascular disease.
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Affiliation(s)
- Janice M Diaz-Otero
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - Hannah Garver
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - Gregory D Fink
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - William F Jackson
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - Anne M Dorrance
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
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