Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions
Cerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We us...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2017-05-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fnagi.2017.00132/full |
| _version_ | 1811199793986273280 |
|---|---|
| author | Kyle C. Kern Clinton B. Wright Kaitlin L. Bergfield Kaitlin L. Bergfield Megan C. Fitzhugh Kewei Chen Kewei Chen Kewei Chen James R. Moeller Nooshin Nabizadeh Mitchell S. V. Elkind Ralph L. Sacco Yaakov Stern Yaakov Stern Charles S. DeCarli Gene E. Alexander Gene E. Alexander Gene E. Alexander Gene E. Alexander |
| author_facet | Kyle C. Kern Clinton B. Wright Kaitlin L. Bergfield Kaitlin L. Bergfield Megan C. Fitzhugh Kewei Chen Kewei Chen Kewei Chen James R. Moeller Nooshin Nabizadeh Mitchell S. V. Elkind Ralph L. Sacco Yaakov Stern Yaakov Stern Charles S. DeCarli Gene E. Alexander Gene E. Alexander Gene E. Alexander Gene E. Alexander |
| author_sort | Kyle C. Kern |
| collection | DOAJ |
| description | Cerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We used a multivariate spatial covariance neuroimaging technique to localize the effects of white matter lesion load on regional gray matter volume and assessed the role of blood pressure control, age and education on this relationship. Using a case-control design matching for age, gender, and educational attainment we selected 64 participants with normal blood pressure, controlled hypertension or uncontrolled hypertension from the Northern Manhattan Study cohort. We applied gray matter voxel-based morphometry with the scaled subprofile model to (1) identify regional covariance patterns of gray matter volume differences associated with white matter lesion load, (2) compare this relationship across blood pressure groups, and (3) relate it to cognitive performance. In this group of participants aged 60–86 years, we identified a pattern of reduced gray matter volume associated with white matter lesion load in bilateral temporal-parietal regions with relative preservation of volume in the basal forebrain, thalami and cingulate cortex. This pattern was expressed most in the uncontrolled hypertension group and least in the normotensives, but was also more evident in older and more educated individuals. Expression of this pattern was associated with worse performance in executive function and memory. In summary, white matter lesions from small-vessel disease are associated with a regional pattern of gray matter atrophy that is mitigated by blood pressure control, exacerbated by aging, and associated with cognitive performance. |
| first_indexed | 2024-04-12T01:53:22Z |
| format | Article |
| id | doaj.art-0bc74f9e41aa4b31a088ecaf91b36e06 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-12T01:53:22Z |
| publishDate | 2017-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-0bc74f9e41aa4b31a088ecaf91b36e062022-12-22T03:52:51ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652017-05-01910.3389/fnagi.2017.00132238340Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter LesionsKyle C. Kern0Clinton B. Wright1Kaitlin L. Bergfield2Kaitlin L. Bergfield3Megan C. Fitzhugh4Kewei Chen5Kewei Chen6Kewei Chen7James R. Moeller8Nooshin Nabizadeh9Mitchell S. V. Elkind10Ralph L. Sacco11Yaakov Stern12Yaakov Stern13Charles S. DeCarli14Gene E. Alexander15Gene E. Alexander16Gene E. Alexander17Gene E. Alexander18Department of Neurology, Evelyn F. McKnight Brain Institute, University of Miami Miller School of MedicineMiami, FL, USADepartment of Neurology, Evelyn F. McKnight Brain Institute, University of Miami Miller School of MedicineMiami, FL, USANeuroscience and Physiological Sciences Graduate Interdisciplinary Programs, University of ArizonaTucson, AZ, USADepartment of Psychology and Evelyn F. McKnight Brain Institute, University of ArizonaTucson, AZ, USADepartment of Psychology and Evelyn F. McKnight Brain Institute, University of ArizonaTucson, AZ, USAComputational Image Analysis Program, Banner Alzheimer InstitutePhoenix, AZ, USASchool of Mathematics and Statistics, Arizona State UniversityTempe, AZ, USAArizona Alzheimers ConsortiumPhoenix, AZ, USADepartment of Psychiatry, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USADepartment of Neurology, Evelyn F. McKnight Brain Institute, University of Miami Miller School of MedicineMiami, FL, USADepartment of Neurology, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USADepartment of Neurology, Evelyn F. McKnight Brain Institute, University of Miami Miller School of MedicineMiami, FL, USADepartment of Psychiatry, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USADepartment of Neurology, College of Physicians and Surgeons, Columbia UniversityNew York, NY, USADepartment of Neurology and Center for Neuroscience, University of California, DavisDavis, CA, USANeuroscience and Physiological Sciences Graduate Interdisciplinary Programs, University of ArizonaTucson, AZ, USADepartment of Psychology and Evelyn F. McKnight Brain Institute, University of ArizonaTucson, AZ, USAArizona Alzheimers ConsortiumPhoenix, AZ, USA0Department of Psychiatry and BIO5 Institute, University of ArizonaTucson, AZ, USACerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We used a multivariate spatial covariance neuroimaging technique to localize the effects of white matter lesion load on regional gray matter volume and assessed the role of blood pressure control, age and education on this relationship. Using a case-control design matching for age, gender, and educational attainment we selected 64 participants with normal blood pressure, controlled hypertension or uncontrolled hypertension from the Northern Manhattan Study cohort. We applied gray matter voxel-based morphometry with the scaled subprofile model to (1) identify regional covariance patterns of gray matter volume differences associated with white matter lesion load, (2) compare this relationship across blood pressure groups, and (3) relate it to cognitive performance. In this group of participants aged 60–86 years, we identified a pattern of reduced gray matter volume associated with white matter lesion load in bilateral temporal-parietal regions with relative preservation of volume in the basal forebrain, thalami and cingulate cortex. This pattern was expressed most in the uncontrolled hypertension group and least in the normotensives, but was also more evident in older and more educated individuals. Expression of this pattern was associated with worse performance in executive function and memory. In summary, white matter lesions from small-vessel disease are associated with a regional pattern of gray matter atrophy that is mitigated by blood pressure control, exacerbated by aging, and associated with cognitive performance.http://journal.frontiersin.org/article/10.3389/fnagi.2017.00132/fullwhite matter hyperintensitiesbrain atrophyhypertensioncerebrovascular diseasecognitionaging |
| spellingShingle | Kyle C. Kern Clinton B. Wright Kaitlin L. Bergfield Kaitlin L. Bergfield Megan C. Fitzhugh Kewei Chen Kewei Chen Kewei Chen James R. Moeller Nooshin Nabizadeh Mitchell S. V. Elkind Ralph L. Sacco Yaakov Stern Yaakov Stern Charles S. DeCarli Gene E. Alexander Gene E. Alexander Gene E. Alexander Gene E. Alexander Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions Frontiers in Aging Neuroscience white matter hyperintensities brain atrophy hypertension cerebrovascular disease cognition aging |
| title | Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions |
| title_full | Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions |
| title_fullStr | Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions |
| title_full_unstemmed | Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions |
| title_short | Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions |
| title_sort | blood pressure control in aging predicts cerebral atrophy related to small vessel white matter lesions |
| topic | white matter hyperintensities brain atrophy hypertension cerebrovascular disease cognition aging |
| url | http://journal.frontiersin.org/article/10.3389/fnagi.2017.00132/full |
| work_keys_str_mv | AT kyleckern bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT clintonbwright bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT kaitlinlbergfield bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT kaitlinlbergfield bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT megancfitzhugh bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT keweichen bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT keweichen bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT keweichen bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT jamesrmoeller bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT nooshinnabizadeh bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT mitchellsvelkind bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT ralphlsacco bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT yaakovstern bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT yaakovstern bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT charlessdecarli bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT geneealexander bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT geneealexander bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT geneealexander bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions AT geneealexander bloodpressurecontrolinagingpredictscerebralatrophyrelatedtosmallvesselwhitematterlesions |