Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Brain imaging and behavior 2016-03, Vol.10 (1), p.203-211
Main Authors: 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.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3
cites cdi_FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3
container_end_page 211
container_issue 1
container_start_page 203
container_title Brain imaging and behavior
container_volume 10
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
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4601925</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3974626481</sourcerecordid><originalsourceid>FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3</originalsourceid><addsrcrecordid>eNqNkVFrFTEQhYMotlZ_gC-y4Isvq5lkk-y-CFJqFUoLRZ_D3N3J3pTdTU12C_ffm9utlyoIfcrA-ebMTA5jb4F_BM7NpwSga1FyUGUja1maZ-wYGgmlUVo9P9TKHLFXKd1wrqq6gZfsSKhaV9CYY3Z5Tb0PEw4F9lR03jmKNLWUCj8VfcRdMeI8U7yXluTv_LwrcAxTX2wJh3m7K8LQZR27ZZjTa_bC4ZDozcN7wn5-Pftx-q28uDr_fvrlomyVkXPpjOSVrjoSWBuFba2F7Da5BOmwrhrRcqGd0KR5x5VzG44StDayUai5RHnCPq--t8tmpK6laY442NvoR4w7G9Dbv5XJb20f7mylOTRCZYMPDwYx_FoozXb0qaVhwInCkiwYo3VeRDRPQcEIrWqR0ff_oDdhifl3V6riYKr9bFipNoaUIrnD3sDtPli7BmtzsHYfrDW5593jgw8df5LMgFiBlKWpp_ho9H9dfwO_Nq22</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1771401745</pqid></control><display><type>article</type><title>Regional age differences in gray matter diffusivity among healthy older adults</title><source>Springer Link</source><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.</creator><creatorcontrib>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.</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 &amp; Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest_Health &amp; 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 &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - 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>
fulltext fulltext
identifier ISSN: 1931-7557
ispartof Brain imaging and behavior, 2016-03, Vol.10 (1), p.203-211
issn 1931-7557
1931-7565
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4601925
source Springer Link
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T07%3A41%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Regional%20age%20differences%20in%20gray%20matter%20diffusivity%20among%20healthy%20older%20adults&rft.jtitle=Brain%20imaging%20and%20behavior&rft.au=Salminen,%20Lauren%20E.&rft.date=2016-03-01&rft.volume=10&rft.issue=1&rft.spage=203&rft.epage=211&rft.pages=203-211&rft.issn=1931-7557&rft.eissn=1931-7565&rft_id=info:doi/10.1007/s11682-015-9383-7&rft_dat=%3Cproquest_pubme%3E3974626481%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c573t-f730464de2a875ac8623db87513fa8492c026f26e60d05ffb0a31667395a603a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1771401745&rft_id=info:pmid/25864197&rfr_iscdi=true