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Regional age differences in gray matter diffusivity among healthy older adults
Aging is associated with microstructural changes in brain tissue that can be visualized using diffusion tensor imaging (DTI). While previous studies have established age-related changes in white matter (WM) diffusion using DTI, the impact of age on gray matter (GM) diffusion remains unclear. The pre...
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Published in: | Brain imaging and behavior 2016-03, Vol.10 (1), p.203-211 |
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creator | Salminen, Lauren E. Conturo, Thomas E. Laidlaw, David H. Cabeen, Ryan P. Akbudak, Erbil Lane, Elizabeth M. Heaps, Jodi M. Bolzenius, Jacob D. Baker, Laurie M. Cooley, Sarah Scott, Staci Cagle, Lee M. Phillips, Sarah Paul, Robert H. |
description | Aging is associated with microstructural changes in brain tissue that can be visualized using diffusion tensor imaging (DTI). While previous studies have established age-related changes in white matter (WM) diffusion using DTI, the impact of age on gray matter (GM) diffusion remains unclear. The present study utilized DTI metrics of mean diffusivity (MD) to identify age differences in GM/WM microstructure in a sample of healthy older adults (
N
= 60). A secondary aim was to determine the functional significance of whole-brain GM/WM MD on global cognitive function using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Participants were divided into three age brackets (ages 50–59, 60–69, and 70+) to examine differences in MD and cognition by decade. MD was examined bilaterally in the frontal, temporal, parietal, and occipital lobes for the primary analyses and an aggregate measure of whole-brain MD was used to test relationships with cognition. Significantly higher MD was observed in bilateral GM of the temporal and parietal lobes, and in right hemisphere WM of the frontal and temporal lobes of older individuals. The most robust differences in MD were between the 50–59 and 70+ age groups. Higher whole-brain GM MD was associated with poorer RBANS performance in the 60–69 age group. Results suggest that aging has a significant and differential impact on GM/WM diffusion in healthy older adults, which may explain a modest degree of cognitive variability at specific time points during older adulthood. |
doi_str_mv | 10.1007/s11682-015-9383-7 |
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N
= 60). A secondary aim was to determine the functional significance of whole-brain GM/WM MD on global cognitive function using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Participants were divided into three age brackets (ages 50–59, 60–69, and 70+) to examine differences in MD and cognition by decade. MD was examined bilaterally in the frontal, temporal, parietal, and occipital lobes for the primary analyses and an aggregate measure of whole-brain MD was used to test relationships with cognition. Significantly higher MD was observed in bilateral GM of the temporal and parietal lobes, and in right hemisphere WM of the frontal and temporal lobes of older individuals. The most robust differences in MD were between the 50–59 and 70+ age groups. Higher whole-brain GM MD was associated with poorer RBANS performance in the 60–69 age group. Results suggest that aging has a significant and differential impact on GM/WM diffusion in healthy older adults, which may explain a modest degree of cognitive variability at specific time points during older adulthood.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-015-9383-7</identifier><identifier>PMID: 25864197</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Age differences ; Aged ; Aging ; Aging - pathology ; Aging - psychology ; Alzheimer's disease ; Biomedical and Life Sciences ; Biomedicine ; Brain - diagnostic imaging ; Brain - pathology ; Brain research ; Cognition ; Cognition & reasoning ; Diffusion Magnetic Resonance Imaging ; Diffusion Tensor Imaging ; Female ; Gray Matter - diagnostic imaging ; Gray Matter - pathology ; Humans ; Magnetic resonance imaging ; Male ; Medical imaging ; Middle Aged ; Neuroimaging ; Neuropsychology ; Neuroradiology ; Neurosciences ; Older people ; Original Research ; Psychiatry ; Psychological Tests</subject><ispartof>Brain imaging and behavior, 2016-03, Vol.10 (1), p.203-211</ispartof><rights>Springer Science+Business Media New York 2015</rights><rights>Springer Science+Business Media New York 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3</citedby><cites>FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25864197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salminen, Lauren E.</creatorcontrib><creatorcontrib>Conturo, Thomas E.</creatorcontrib><creatorcontrib>Laidlaw, David H.</creatorcontrib><creatorcontrib>Cabeen, Ryan P.</creatorcontrib><creatorcontrib>Akbudak, Erbil</creatorcontrib><creatorcontrib>Lane, Elizabeth M.</creatorcontrib><creatorcontrib>Heaps, Jodi M.</creatorcontrib><creatorcontrib>Bolzenius, Jacob D.</creatorcontrib><creatorcontrib>Baker, Laurie M.</creatorcontrib><creatorcontrib>Cooley, Sarah</creatorcontrib><creatorcontrib>Scott, Staci</creatorcontrib><creatorcontrib>Cagle, Lee M.</creatorcontrib><creatorcontrib>Phillips, Sarah</creatorcontrib><creatorcontrib>Paul, Robert H.</creatorcontrib><title>Regional age differences in gray matter diffusivity among healthy older adults</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>Aging is associated with microstructural changes in brain tissue that can be visualized using diffusion tensor imaging (DTI). While previous studies have established age-related changes in white matter (WM) diffusion using DTI, the impact of age on gray matter (GM) diffusion remains unclear. The present study utilized DTI metrics of mean diffusivity (MD) to identify age differences in GM/WM microstructure in a sample of healthy older adults (
N
= 60). A secondary aim was to determine the functional significance of whole-brain GM/WM MD on global cognitive function using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Participants were divided into three age brackets (ages 50–59, 60–69, and 70+) to examine differences in MD and cognition by decade. MD was examined bilaterally in the frontal, temporal, parietal, and occipital lobes for the primary analyses and an aggregate measure of whole-brain MD was used to test relationships with cognition. Significantly higher MD was observed in bilateral GM of the temporal and parietal lobes, and in right hemisphere WM of the frontal and temporal lobes of older individuals. The most robust differences in MD were between the 50–59 and 70+ age groups. Higher whole-brain GM MD was associated with poorer RBANS performance in the 60–69 age group. Results suggest that aging has a significant and differential impact on GM/WM diffusion in healthy older adults, which may explain a modest degree of cognitive variability at specific time points during older adulthood.</description><subject>Age differences</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging - pathology</subject><subject>Aging - psychology</subject><subject>Alzheimer's disease</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Brain research</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Diffusion Tensor Imaging</subject><subject>Female</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Gray Matter - pathology</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Neuroimaging</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Older people</subject><subject>Original Research</subject><subject>Psychiatry</subject><subject>Psychological Tests</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkVFrFTEQhYMotlZ_gC-y4Isvq5lkk-y-CFJqFUoLRZ_D3N3J3pTdTU12C_ffm9utlyoIfcrA-ebMTA5jb4F_BM7NpwSga1FyUGUja1maZ-wYGgmlUVo9P9TKHLFXKd1wrqq6gZfsSKhaV9CYY3Z5Tb0PEw4F9lR03jmKNLWUCj8VfcRdMeI8U7yXluTv_LwrcAxTX2wJh3m7K8LQZR27ZZjTa_bC4ZDozcN7wn5-Pftx-q28uDr_fvrlomyVkXPpjOSVrjoSWBuFba2F7Da5BOmwrhrRcqGd0KR5x5VzG44StDayUai5RHnCPq--t8tmpK6laY442NvoR4w7G9Dbv5XJb20f7mylOTRCZYMPDwYx_FoozXb0qaVhwInCkiwYo3VeRDRPQcEIrWqR0ff_oDdhifl3V6riYKr9bFipNoaUIrnD3sDtPli7BmtzsHYfrDW5593jgw8df5LMgFiBlKWpp_ho9H9dfwO_Nq22</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Salminen, Lauren E.</creator><creator>Conturo, Thomas E.</creator><creator>Laidlaw, David H.</creator><creator>Cabeen, Ryan P.</creator><creator>Akbudak, Erbil</creator><creator>Lane, Elizabeth M.</creator><creator>Heaps, Jodi M.</creator><creator>Bolzenius, Jacob D.</creator><creator>Baker, Laurie M.</creator><creator>Cooley, Sarah</creator><creator>Scott, Staci</creator><creator>Cagle, Lee M.</creator><creator>Phillips, Sarah</creator><creator>Paul, Robert H.</creator><general>Springer US</general><general>Springer Nature B.V</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>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160301</creationdate><title>Regional age differences in gray matter diffusivity among healthy older adults</title><author>Salminen, Lauren E. ; Conturo, Thomas E. ; Laidlaw, David H. ; Cabeen, Ryan P. ; Akbudak, Erbil ; Lane, Elizabeth M. ; Heaps, Jodi M. ; Bolzenius, Jacob D. ; Baker, Laurie M. ; Cooley, Sarah ; Scott, Staci ; Cagle, Lee M. ; Phillips, Sarah ; Paul, Robert H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Age differences</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging - pathology</topic><topic>Aging - psychology</topic><topic>Alzheimer's disease</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Brain research</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Diffusion Tensor Imaging</topic><topic>Female</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Gray Matter - pathology</topic><topic>Humans</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Neuroimaging</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Older people</topic><topic>Original Research</topic><topic>Psychiatry</topic><topic>Psychological Tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salminen, Lauren E.</creatorcontrib><creatorcontrib>Conturo, Thomas E.</creatorcontrib><creatorcontrib>Laidlaw, David H.</creatorcontrib><creatorcontrib>Cabeen, Ryan P.</creatorcontrib><creatorcontrib>Akbudak, Erbil</creatorcontrib><creatorcontrib>Lane, Elizabeth M.</creatorcontrib><creatorcontrib>Heaps, Jodi M.</creatorcontrib><creatorcontrib>Bolzenius, Jacob D.</creatorcontrib><creatorcontrib>Baker, Laurie M.</creatorcontrib><creatorcontrib>Cooley, Sarah</creatorcontrib><creatorcontrib>Scott, Staci</creatorcontrib><creatorcontrib>Cagle, Lee M.</creatorcontrib><creatorcontrib>Phillips, Sarah</creatorcontrib><creatorcontrib>Paul, Robert H.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salminen, Lauren E.</au><au>Conturo, Thomas E.</au><au>Laidlaw, David H.</au><au>Cabeen, Ryan P.</au><au>Akbudak, Erbil</au><au>Lane, Elizabeth M.</au><au>Heaps, Jodi M.</au><au>Bolzenius, Jacob D.</au><au>Baker, Laurie M.</au><au>Cooley, Sarah</au><au>Scott, Staci</au><au>Cagle, Lee M.</au><au>Phillips, Sarah</au><au>Paul, Robert H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Regional age differences in gray matter diffusivity among healthy older adults</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>10</volume><issue>1</issue><spage>203</spage><epage>211</epage><pages>203-211</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Aging is associated with microstructural changes in brain tissue that can be visualized using diffusion tensor imaging (DTI). While previous studies have established age-related changes in white matter (WM) diffusion using DTI, the impact of age on gray matter (GM) diffusion remains unclear. The present study utilized DTI metrics of mean diffusivity (MD) to identify age differences in GM/WM microstructure in a sample of healthy older adults (
N
= 60). A secondary aim was to determine the functional significance of whole-brain GM/WM MD on global cognitive function using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Participants were divided into three age brackets (ages 50–59, 60–69, and 70+) to examine differences in MD and cognition by decade. MD was examined bilaterally in the frontal, temporal, parietal, and occipital lobes for the primary analyses and an aggregate measure of whole-brain MD was used to test relationships with cognition. Significantly higher MD was observed in bilateral GM of the temporal and parietal lobes, and in right hemisphere WM of the frontal and temporal lobes of older individuals. The most robust differences in MD were between the 50–59 and 70+ age groups. Higher whole-brain GM MD was associated with poorer RBANS performance in the 60–69 age group. Results suggest that aging has a significant and differential impact on GM/WM diffusion in healthy older adults, which may explain a modest degree of cognitive variability at specific time points during older adulthood.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>25864197</pmid><doi>10.1007/s11682-015-9383-7</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age differences Aged Aging Aging - pathology Aging - psychology Alzheimer's disease Biomedical and Life Sciences Biomedicine Brain - diagnostic imaging Brain - pathology Brain research Cognition Cognition & reasoning Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Female Gray Matter - diagnostic imaging Gray Matter - pathology Humans Magnetic resonance imaging Male Medical imaging Middle Aged Neuroimaging Neuropsychology Neuroradiology Neurosciences Older people Original Research Psychiatry Psychological Tests |
title | Regional age differences in gray matter diffusivity among healthy older adults |
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