The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics

Background Hypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstruc...

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Veröffentlicht in:Alzheimer's & dementia 2023-12, Vol.19 (S16), p.n/a
Hauptverfasser: Kim, Donghoon, Hughes, Tim M., Wu, Yu‐Chien, Lockhart, Samuel N., Craft, Suzanne, Baker, Laura D, Whitlow, Christopher T., Okonmah‐Obazee, Stephanie E., Hugenschmidt, Christina E, Bobinski, Matthew, Jung, Youngkyoo
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container_issue S16
container_start_page
container_title Alzheimer's & dementia
container_volume 19
creator Kim, Donghoon
Hughes, Tim M.
Wu, Yu‐Chien
Lockhart, Samuel N.
Craft, Suzanne
Baker, Laura D
Whitlow, Christopher T.
Okonmah‐Obazee, Stephanie E.
Hugenschmidt, Christina E
Bobinski, Matthew
Jung, Youngkyoo
description Background Hypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM. Method Four‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP≥130mmHG and DBP≥80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied. Result Hypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF. Conclusion Hypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.
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Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM. Method Four‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP≥130mmHG and DBP≥80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied. Result Hypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF. Conclusion Hypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1002/alz.078539</identifier><language>eng</language><ispartof>Alzheimer's &amp; dementia, 2023-12, Vol.19 (S16), p.n/a</ispartof><rights>2020 the Alzheimer's Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Falz.078539$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Falz.078539$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Kim, Donghoon</creatorcontrib><creatorcontrib>Hughes, Tim M.</creatorcontrib><creatorcontrib>Wu, Yu‐Chien</creatorcontrib><creatorcontrib>Lockhart, Samuel N.</creatorcontrib><creatorcontrib>Craft, Suzanne</creatorcontrib><creatorcontrib>Baker, Laura D</creatorcontrib><creatorcontrib>Whitlow, Christopher T.</creatorcontrib><creatorcontrib>Okonmah‐Obazee, Stephanie E.</creatorcontrib><creatorcontrib>Hugenschmidt, Christina E</creatorcontrib><creatorcontrib>Bobinski, Matthew</creatorcontrib><creatorcontrib>Jung, Youngkyoo</creatorcontrib><title>The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics</title><title>Alzheimer's &amp; dementia</title><description>Background Hypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM. Method Four‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP≥130mmHG and DBP≥80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied. Result Hypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF. Conclusion Hypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.</description><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMoOKc3_oJcC51J2jTp5RjTDTq8mR94E9J8bJGuHUmK1F9vR4eXwoFz4H3O4fAAcI_RDCNEHmX9M0OM07S4ABNMKUkoYcXl35yja3ATwhdCGeKYTsDHdm_g0lqjYoCthav-aHw0TXBtA4d637to4EbGaDzcOOXbEH2nYudlDWWj4ZsMqqulh-uD3LlmBzcmeqfCLbiysg7m7tyn4PVpuV2skvLleb2Yl4nCOC0STkmVaaS0LIyVOrWUVrnJLcOKKV2RijBNqM04w_mQ8iq1jDKmbc4lL0ieTsHDePf0WvDGiqN3B-l7gZE4ORGDEzE6GWA8wt-uNv0_pJiXn-edX0uDZS8</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Kim, Donghoon</creator><creator>Hughes, Tim M.</creator><creator>Wu, Yu‐Chien</creator><creator>Lockhart, Samuel N.</creator><creator>Craft, Suzanne</creator><creator>Baker, Laura D</creator><creator>Whitlow, Christopher T.</creator><creator>Okonmah‐Obazee, Stephanie E.</creator><creator>Hugenschmidt, Christina E</creator><creator>Bobinski, Matthew</creator><creator>Jung, Youngkyoo</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202312</creationdate><title>The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics</title><author>Kim, Donghoon ; Hughes, Tim M. ; Wu, Yu‐Chien ; Lockhart, Samuel N. ; Craft, Suzanne ; Baker, Laura D ; Whitlow, Christopher T. ; Okonmah‐Obazee, Stephanie E. ; Hugenschmidt, Christina E ; Bobinski, Matthew ; Jung, Youngkyoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1139-852b4d0cda9efad3f55b6e6f71c7cdb2b27d25f48716d3f8b3f7577df68a89263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Donghoon</creatorcontrib><creatorcontrib>Hughes, Tim M.</creatorcontrib><creatorcontrib>Wu, Yu‐Chien</creatorcontrib><creatorcontrib>Lockhart, Samuel N.</creatorcontrib><creatorcontrib>Craft, Suzanne</creatorcontrib><creatorcontrib>Baker, Laura D</creatorcontrib><creatorcontrib>Whitlow, Christopher T.</creatorcontrib><creatorcontrib>Okonmah‐Obazee, Stephanie E.</creatorcontrib><creatorcontrib>Hugenschmidt, Christina E</creatorcontrib><creatorcontrib>Bobinski, Matthew</creatorcontrib><creatorcontrib>Jung, Youngkyoo</creatorcontrib><collection>CrossRef</collection><jtitle>Alzheimer's &amp; dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Donghoon</au><au>Hughes, Tim M.</au><au>Wu, Yu‐Chien</au><au>Lockhart, Samuel N.</au><au>Craft, Suzanne</au><au>Baker, Laura D</au><au>Whitlow, Christopher T.</au><au>Okonmah‐Obazee, Stephanie E.</au><au>Hugenschmidt, Christina E</au><au>Bobinski, Matthew</au><au>Jung, Youngkyoo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics</atitle><jtitle>Alzheimer's &amp; dementia</jtitle><date>2023-12</date><risdate>2023</risdate><volume>19</volume><issue>S16</issue><epage>n/a</epage><issn>1552-5260</issn><eissn>1552-5279</eissn><abstract>Background Hypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM. Method Four‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP≥130mmHG and DBP≥80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied. Result Hypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF. Conclusion Hypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.</abstract><doi>10.1002/alz.078539</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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