Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging
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 (...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2023-12, Vol.58 (6), p.1892-1900 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Yetim, Ezgi Jacoby, John Damestani, Nikou L. Lovely, Allison E. Salat, David H. Juttukonda, Meher R. |
| description | 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: |
| doi_str_mv | 10.1002/jmri.28722 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2800147028</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2800147028</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3572-1da202407c807f7ea37d4c23397ea120758982706210ae6eecc32ce267c93b2c3</originalsourceid><addsrcrecordid>eNp9kc9u1DAQxi1ERf_AhQdAlrigSinjcRI73KKoZYu2AtFyjrzObMkqjrf2RmhvvXDnGXkSvN2WAwdO82n8m280_hh7LeBMAOD7lQv9GWqF-IwdiQIxw0KXz5OGQmZCgzpkxzGuAKCq8uIFO5QKcsgrfcR-XpEZeR02FHoz8C-BYpwCcTN2vKFAi5C6M3K-247G9Tby2gYfI7_5TnzeLymuzfiB17zZdX_f_7omu-n9mKauN1O35RfBOz6bXNrS-HFMr95R2uNXSSa-vu3H25fsYGmGSK8e6wn7dnF-08yy-eePl009z6wsFGaiMwiYg7LppqUiI1WXW5SySlogqEJXGhWUKMBQSWStREtYKlvJBVp5wt7tfdfB300UN63ro6VhMCP5KbaoAUSuAHVC3_6DrvwU0l07SpeVkrIoE3W6px4-JdCyXYfembBtBbS7cNpdOO1DOAl-82g5LRx1f9GnNBIg9sCPfqDtf6zaT1dfL_emfwCWG5tB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2886973356</pqid></control><display><type>article</type><title>Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging</title><source>Wiley Online Library - AutoHoldings Journals</source><source>MEDLINE</source><creator>Yetim, Ezgi ; Jacoby, John ; Damestani, Nikou L. ; Lovely, Allison E. ; Salat, David H. ; Juttukonda, Meher R.</creator><creatorcontrib>Yetim, Ezgi ; Jacoby, John ; Damestani, Nikou L. ; Lovely, Allison E. ; Salat, David H. ; Juttukonda, Meher R.</creatorcontrib><description>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</description><identifier>ISSN: 1053-1807</identifier><identifier>ISSN: 1522-2586</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.28722</identifier><identifier>PMID: 37040498</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Adult ; Aged, 80 and over ; Aging ; Arterial Pressure ; arterial spin labeling ; arterial transit time ; Arteries ; Blood flow ; Blood pressure ; Brain ; Brain - blood supply ; Brain - diagnostic imaging ; Cerebral blood flow ; Cerebrovascular Circulation - physiology ; Connectome ; Correlation ; Cross-Sectional Studies ; Data acquisition ; Field strength ; Hemodynamics ; Humans ; Hypertension ; Image acquisition ; Kruskal-Wallis test ; Life span ; Longevity ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; mean arterial pressure ; Middle Aged ; Neuroimaging ; Neurological diseases ; Population studies ; Prolongation ; Regression analysis ; Regression models ; Retrospective Studies ; Spin labeling ; Spin Labels ; Statistical analysis ; Statistical tests ; Substantia alba ; Substantia grisea ; Topography ; Transit time ; Variance analysis</subject><ispartof>Journal of magnetic resonance imaging, 2023-12, Vol.58 (6), p.1892-1900</ispartof><rights>2023 International Society for Magnetic Resonance in Medicine.</rights><rights>2023 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3572-1da202407c807f7ea37d4c23397ea120758982706210ae6eecc32ce267c93b2c3</citedby><cites>FETCH-LOGICAL-c3572-1da202407c807f7ea37d4c23397ea120758982706210ae6eecc32ce267c93b2c3</cites><orcidid>0000-0002-1132-3660 ; 0000-0001-9064-3648</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.28722$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.28722$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27931,27932,45581,45582</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37040498$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yetim, Ezgi</creatorcontrib><creatorcontrib>Jacoby, John</creatorcontrib><creatorcontrib>Damestani, Nikou L.</creatorcontrib><creatorcontrib>Lovely, Allison E.</creatorcontrib><creatorcontrib>Salat, David H.</creatorcontrib><creatorcontrib>Juttukonda, Meher R.</creatorcontrib><title>Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>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</description><subject>Adult</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Arterial Pressure</subject><subject>arterial spin labeling</subject><subject>arterial transit time</subject><subject>Arteries</subject><subject>Blood flow</subject><subject>Blood pressure</subject><subject>Brain</subject><subject>Brain - blood supply</subject><subject>Brain - diagnostic imaging</subject><subject>Cerebral blood flow</subject><subject>Cerebrovascular Circulation - physiology</subject><subject>Connectome</subject><subject>Correlation</subject><subject>Cross-Sectional Studies</subject><subject>Data acquisition</subject><subject>Field strength</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Image acquisition</subject><subject>Kruskal-Wallis test</subject><subject>Life span</subject><subject>Longevity</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>mean arterial pressure</subject><subject>Middle Aged</subject><subject>Neuroimaging</subject><subject>Neurological diseases</subject><subject>Population studies</subject><subject>Prolongation</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Retrospective Studies</subject><subject>Spin labeling</subject><subject>Spin Labels</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Substantia alba</subject><subject>Substantia grisea</subject><subject>Topography</subject><subject>Transit time</subject><subject>Variance analysis</subject><issn>1053-1807</issn><issn>1522-2586</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc9u1DAQxi1ERf_AhQdAlrigSinjcRI73KKoZYu2AtFyjrzObMkqjrf2RmhvvXDnGXkSvN2WAwdO82n8m280_hh7LeBMAOD7lQv9GWqF-IwdiQIxw0KXz5OGQmZCgzpkxzGuAKCq8uIFO5QKcsgrfcR-XpEZeR02FHoz8C-BYpwCcTN2vKFAi5C6M3K-247G9Tby2gYfI7_5TnzeLymuzfiB17zZdX_f_7omu-n9mKauN1O35RfBOz6bXNrS-HFMr95R2uNXSSa-vu3H25fsYGmGSK8e6wn7dnF-08yy-eePl009z6wsFGaiMwiYg7LppqUiI1WXW5SySlogqEJXGhWUKMBQSWStREtYKlvJBVp5wt7tfdfB300UN63ro6VhMCP5KbaoAUSuAHVC3_6DrvwU0l07SpeVkrIoE3W6px4-JdCyXYfembBtBbS7cNpdOO1DOAl-82g5LRx1f9GnNBIg9sCPfqDtf6zaT1dfL_emfwCWG5tB</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Yetim, Ezgi</creator><creator>Jacoby, John</creator><creator>Damestani, Nikou L.</creator><creator>Lovely, Allison E.</creator><creator>Salat, David H.</creator><creator>Juttukonda, Meher R.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1132-3660</orcidid><orcidid>https://orcid.org/0000-0001-9064-3648</orcidid></search><sort><creationdate>202312</creationdate><title>Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging</title><author>Yetim, Ezgi ; Jacoby, John ; Damestani, Nikou L. ; Lovely, Allison E. ; Salat, David H. ; Juttukonda, Meher R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3572-1da202407c807f7ea37d4c23397ea120758982706210ae6eecc32ce267c93b2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Arterial Pressure</topic><topic>arterial spin labeling</topic><topic>arterial transit time</topic><topic>Arteries</topic><topic>Blood flow</topic><topic>Blood pressure</topic><topic>Brain</topic><topic>Brain - blood supply</topic><topic>Brain - diagnostic imaging</topic><topic>Cerebral blood flow</topic><topic>Cerebrovascular Circulation - physiology</topic><topic>Connectome</topic><topic>Correlation</topic><topic>Cross-Sectional Studies</topic><topic>Data acquisition</topic><topic>Field strength</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Image acquisition</topic><topic>Kruskal-Wallis test</topic><topic>Life span</topic><topic>Longevity</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>mean arterial pressure</topic><topic>Middle Aged</topic><topic>Neuroimaging</topic><topic>Neurological diseases</topic><topic>Population studies</topic><topic>Prolongation</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Retrospective Studies</topic><topic>Spin labeling</topic><topic>Spin Labels</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Substantia alba</topic><topic>Substantia grisea</topic><topic>Topography</topic><topic>Transit time</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yetim, Ezgi</creatorcontrib><creatorcontrib>Jacoby, John</creatorcontrib><creatorcontrib>Damestani, Nikou L.</creatorcontrib><creatorcontrib>Lovely, Allison E.</creatorcontrib><creatorcontrib>Salat, David H.</creatorcontrib><creatorcontrib>Juttukonda, Meher R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yetim, Ezgi</au><au>Jacoby, John</au><au>Damestani, Nikou L.</au><au>Lovely, Allison E.</au><au>Salat, David H.</au><au>Juttukonda, Meher R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2023-12</date><risdate>2023</risdate><volume>58</volume><issue>6</issue><spage>1892</spage><epage>1900</epage><pages>1892-1900</pages><issn>1053-1807</issn><issn>1522-2586</issn><eissn>1522-2586</eissn><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</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>37040498</pmid><doi>10.1002/jmri.28722</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1132-3660</orcidid><orcidid>https://orcid.org/0000-0001-9064-3648</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1053-1807 |
| ispartof | Journal of magnetic resonance imaging, 2023-12, Vol.58 (6), p.1892-1900 |
| issn | 1053-1807 1522-2586 1522-2586 |
| language | eng |
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| source | Wiley Online Library - AutoHoldings Journals; MEDLINE |
| subjects | Adult Aged, 80 and over Aging Arterial Pressure arterial spin labeling arterial transit time Arteries Blood flow Blood pressure Brain Brain - blood supply Brain - diagnostic imaging Cerebral blood flow Cerebrovascular Circulation - physiology Connectome Correlation Cross-Sectional Studies Data acquisition Field strength Hemodynamics Humans Hypertension Image acquisition Kruskal-Wallis test Life span Longevity Magnetic resonance imaging Magnetic Resonance Imaging - methods mean arterial pressure Middle Aged Neuroimaging Neurological diseases Population studies Prolongation Regression analysis Regression models Retrospective Studies Spin labeling Spin Labels Statistical analysis Statistical tests Substantia alba Substantia grisea Topography Transit time Variance analysis |
| title | Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross‐Sectional Study From Human Connectome Project‐Aging |
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