MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements
The aim of the study was to evaluate the value of assessing white matter integrity using diffusion tensor imaging (DTI) for classification of mild cognitive impairment (MCI) and prediction of cognitive impairments in comparison to brain atrophy measurements using structural MRI. Fifty-one patients w...
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| description | The aim of the study was to evaluate the value of assessing white matter integrity using diffusion tensor imaging (DTI) for classification of mild cognitive impairment (MCI) and prediction of cognitive impairments in comparison to brain atrophy measurements using structural MRI. Fifty-one patients with MCI and 66 cognitive normal controls (CN) underwent DTI and T1-weighted structural MRI. DTI measures included fractional anisotropy (FA) and radial diffusivity (DR) from 20 predetermined regions-of-interest (ROIs) in the commissural, limbic and association tracts, which are thought to be involved in Alzheimer's disease; measures of regional gray matter (GM) volume included 21 ROIs in medial temporal lobe, parietal cortex, and subcortical regions. Significant group differences between MCI and CN were detected by each MRI modality: In particular, reduced FA was found in splenium, left isthmus cingulum and fornix; increased DR was found in splenium, left isthmus cingulum and bilateral uncinate fasciculi; reduced GM volume was found in bilateral hippocampi, left entorhinal cortex, right amygdala and bilateral thalamus; and thinner cortex was found in the left entorhinal cortex. Group classifications based on FA or DR was significant and better than classifications based on GM volume. Using either DR or FA together with GM volume improved classification accuracy. Furthermore, all three measures, FA, DR and GM volume were similarly accurate in predicting cognitive performance in MCI patients. Taken together, the results imply that DTI measures are as accurate as measures of GM volume in detecting brain alterations that are associated with cognitive impairment. Furthermore, a combination of DTI and structural MRI measurements improves classification accuracy. |
| doi_str_mv | 10.1371/journal.pone.0066367 |
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Fifty-one patients with MCI and 66 cognitive normal controls (CN) underwent DTI and T1-weighted structural MRI. DTI measures included fractional anisotropy (FA) and radial diffusivity (DR) from 20 predetermined regions-of-interest (ROIs) in the commissural, limbic and association tracts, which are thought to be involved in Alzheimer's disease; measures of regional gray matter (GM) volume included 21 ROIs in medial temporal lobe, parietal cortex, and subcortical regions. Significant group differences between MCI and CN were detected by each MRI modality: In particular, reduced FA was found in splenium, left isthmus cingulum and fornix; increased DR was found in splenium, left isthmus cingulum and bilateral uncinate fasciculi; reduced GM volume was found in bilateral hippocampi, left entorhinal cortex, right amygdala and bilateral thalamus; and thinner cortex was found in the left entorhinal cortex. Group classifications based on FA or DR was significant and better than classifications based on GM volume. Using either DR or FA together with GM volume improved classification accuracy. Furthermore, all three measures, FA, DR and GM volume were similarly accurate in predicting cognitive performance in MCI patients. Taken together, the results imply that DTI measures are as accurate as measures of GM volume in detecting brain alterations that are associated with cognitive impairment. Furthermore, a combination of DTI and structural MRI measurements improves classification accuracy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0066367</identifier><identifier>PMID: 23762488</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Activities of daily living ; Aged ; Aged, 80 and over ; Aging ; Alzheimer's disease ; Alzheimers disease ; Amygdala ; Anisotropy ; Atrophy ; Automation ; Biology ; Biomarkers - analysis ; Brain ; Brain Mapping ; Case-Control Studies ; Cerebral Cortex - pathology ; Cerebral Cortex - physiopathology ; Cingulum ; Classification ; Cognition & reasoning ; Cognitive ability ; Cognitive Dysfunction - diagnosis ; Cognitive Dysfunction - pathology ; Cognitive Dysfunction - physiopathology ; Corpus callosum ; Cortex (entorhinal) ; Cortex (parietal) ; Cortex (temporal) ; Dementia ; Diffusion Tensor Imaging ; Female ; Fornix ; Hippocampus ; Hippocampus - pathology ; Hippocampus - physiopathology ; Humans ; Impairment ; Integrity ; Magnetic resonance imaging ; Male ; Medicine ; Memory ; Middle Aged ; Neurodegenerative diseases ; Neuroimaging ; Neurology ; Neuropsychological Tests ; Parietal Lobe - pathology ; Parietal Lobe - physiopathology ; Patients ; Performance prediction ; Sensitivity and Specificity ; Studies ; Substantia alba ; Substantia grisea ; Temporal lobe ; Temporal Lobe - pathology ; Temporal Lobe - physiopathology ; Thalamus ; Veterans</subject><ispartof>PloS one, 2013-06, Vol.8 (6), p.e66367-e66367</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Zhang et al 2013 Zhang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-cce4cf248538dadb08e5e736a88fc25b9b1de4d26e66aa218ed5d3e8e3a21eb03</citedby><cites>FETCH-LOGICAL-c758t-cce4cf248538dadb08e5e736a88fc25b9b1de4d26e66aa218ed5d3e8e3a21eb03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675142/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675142/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23762488$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Schuff, Norbert</creatorcontrib><creatorcontrib>Camacho, Monica</creatorcontrib><creatorcontrib>Chao, Linda L</creatorcontrib><creatorcontrib>Fletcher, Thomas P</creatorcontrib><creatorcontrib>Yaffe, Kristine</creatorcontrib><creatorcontrib>Woolley, Susan C</creatorcontrib><creatorcontrib>Madison, Catherine</creatorcontrib><creatorcontrib>Rosen, Howard J</creatorcontrib><creatorcontrib>Miller, Bruce L</creatorcontrib><creatorcontrib>Weiner, Michael W</creatorcontrib><title>MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The aim of the study was to evaluate the value of assessing white matter integrity using diffusion tensor imaging (DTI) for classification of mild cognitive impairment (MCI) and prediction of cognitive impairments in comparison to brain atrophy measurements using structural MRI. Fifty-one patients with MCI and 66 cognitive normal controls (CN) underwent DTI and T1-weighted structural MRI. DTI measures included fractional anisotropy (FA) and radial diffusivity (DR) from 20 predetermined regions-of-interest (ROIs) in the commissural, limbic and association tracts, which are thought to be involved in Alzheimer's disease; measures of regional gray matter (GM) volume included 21 ROIs in medial temporal lobe, parietal cortex, and subcortical regions. Significant group differences between MCI and CN were detected by each MRI modality: In particular, reduced FA was found in splenium, left isthmus cingulum and fornix; increased DR was found in splenium, left isthmus cingulum and bilateral uncinate fasciculi; reduced GM volume was found in bilateral hippocampi, left entorhinal cortex, right amygdala and bilateral thalamus; and thinner cortex was found in the left entorhinal cortex. Group classifications based on FA or DR was significant and better than classifications based on GM volume. Using either DR or FA together with GM volume improved classification accuracy. Furthermore, all three measures, FA, DR and GM volume were similarly accurate in predicting cognitive performance in MCI patients. Taken together, the results imply that DTI measures are as accurate as measures of GM volume in detecting brain alterations that are associated with cognitive impairment. Furthermore, a combination of DTI and structural MRI measurements improves classification accuracy.</description><subject>Activities of daily living</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Amygdala</subject><subject>Anisotropy</subject><subject>Atrophy</subject><subject>Automation</subject><subject>Biology</subject><subject>Biomarkers - analysis</subject><subject>Brain</subject><subject>Brain Mapping</subject><subject>Case-Control Studies</subject><subject>Cerebral Cortex - pathology</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Cingulum</subject><subject>Classification</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Cognitive Dysfunction - diagnosis</subject><subject>Cognitive Dysfunction - pathology</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Corpus callosum</subject><subject>Cortex (entorhinal)</subject><subject>Cortex (parietal)</subject><subject>Cortex (temporal)</subject><subject>Dementia</subject><subject>Diffusion Tensor Imaging</subject><subject>Female</subject><subject>Fornix</subject><subject>Hippocampus</subject><subject>Hippocampus - pathology</subject><subject>Hippocampus - physiopathology</subject><subject>Humans</subject><subject>Impairment</subject><subject>Integrity</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Memory</subject><subject>Middle Aged</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>Parietal Lobe - pathology</subject><subject>Parietal Lobe - physiopathology</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Sensitivity and Specificity</subject><subject>Studies</subject><subject>Substantia alba</subject><subject>Substantia grisea</subject><subject>Temporal lobe</subject><subject>Temporal Lobe - pathology</subject><subject>Temporal Lobe - physiopathology</subject><subject>Thalamus</subject><subject>Veterans</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1tv0zAUxyMEYmPwDRBEQkLw0GLHiePwgDRNXCoNTRqXV8txTlKXJC6209Fvz8maTi3aA8lDYvt3_ufic6LoOSVzynL6bmUH16t2vrY9zAnhnPH8QXRKC5bMeELYw4P_k-iJ9ytCMiY4fxydJCznSSrEabT9er2IO-V-gfNxbV3cmbaKtW16E8wGYtOtlXEd9OE97uLCGW97H5cQbgD6-GZpAqBACOBi0wdonAnbWPVV3Di13Z9sbDt0yIHyg4NRzj-NHtWq9fBs-p5FPz59_H7xZXZ59XlxcX4503kmwkxrSHWNwWLslapKIiCDnHElRK2TrCxKWkFaJRw4VyqhAqqsYiCA4QJKws6ilzvddWu9nKrmJWU84xnLRIHEYkdUVq3k2hmsx1ZaZeTthnWNVC4Y3YIkhNal0inoukizvEZvOiVC5TpL0pyO3j5M3oayw0PM1Kn2SPT4pDdL2diNxNvLaJqgwJtJwNnfA_ggO-M1tK3qwQ63ceciL0QhEH31D3p_dhPVKEzA9LVFv3oUledpLlI6PkjN76HwraAzGlusNrh_ZPD2yACZAH9Cowbv5eLb9f-zVz-P2dcH7BJUG5YeuycYbLtjMN2B2lnvHdR3RaZEjhOyr4YcJ0ROE4JmLw4v6M5oPxLsL8FADqE</recordid><startdate>20130606</startdate><enddate>20130606</enddate><creator>Zhang, Yu</creator><creator>Schuff, Norbert</creator><creator>Camacho, Monica</creator><creator>Chao, Linda L</creator><creator>Fletcher, Thomas P</creator><creator>Yaffe, Kristine</creator><creator>Woolley, Susan C</creator><creator>Madison, Catherine</creator><creator>Rosen, Howard J</creator><creator>Miller, Bruce L</creator><creator>Weiner, Michael W</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130606</creationdate><title>MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements</title><author>Zhang, Yu ; Schuff, Norbert ; Camacho, Monica ; Chao, Linda L ; Fletcher, Thomas P ; Yaffe, Kristine ; Woolley, Susan C ; Madison, Catherine ; Rosen, Howard J ; Miller, Bruce L ; Weiner, Michael W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-cce4cf248538dadb08e5e736a88fc25b9b1de4d26e66aa218ed5d3e8e3a21eb03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Activities of daily living</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Alzheimer's disease</topic><topic>Alzheimers disease</topic><topic>Amygdala</topic><topic>Anisotropy</topic><topic>Atrophy</topic><topic>Automation</topic><topic>Biology</topic><topic>Biomarkers - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yu</au><au>Schuff, Norbert</au><au>Camacho, Monica</au><au>Chao, Linda L</au><au>Fletcher, Thomas P</au><au>Yaffe, Kristine</au><au>Woolley, Susan C</au><au>Madison, Catherine</au><au>Rosen, Howard J</au><au>Miller, Bruce L</au><au>Weiner, Michael W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-06-06</date><risdate>2013</risdate><volume>8</volume><issue>6</issue><spage>e66367</spage><epage>e66367</epage><pages>e66367-e66367</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The aim of the study was to evaluate the value of assessing white matter integrity using diffusion tensor imaging (DTI) for classification of mild cognitive impairment (MCI) and prediction of cognitive impairments in comparison to brain atrophy measurements using structural MRI. Fifty-one patients with MCI and 66 cognitive normal controls (CN) underwent DTI and T1-weighted structural MRI. DTI measures included fractional anisotropy (FA) and radial diffusivity (DR) from 20 predetermined regions-of-interest (ROIs) in the commissural, limbic and association tracts, which are thought to be involved in Alzheimer's disease; measures of regional gray matter (GM) volume included 21 ROIs in medial temporal lobe, parietal cortex, and subcortical regions. Significant group differences between MCI and CN were detected by each MRI modality: In particular, reduced FA was found in splenium, left isthmus cingulum and fornix; increased DR was found in splenium, left isthmus cingulum and bilateral uncinate fasciculi; reduced GM volume was found in bilateral hippocampi, left entorhinal cortex, right amygdala and bilateral thalamus; and thinner cortex was found in the left entorhinal cortex. Group classifications based on FA or DR was significant and better than classifications based on GM volume. Using either DR or FA together with GM volume improved classification accuracy. Furthermore, all three measures, FA, DR and GM volume were similarly accurate in predicting cognitive performance in MCI patients. Taken together, the results imply that DTI measures are as accurate as measures of GM volume in detecting brain alterations that are associated with cognitive impairment. Furthermore, a combination of DTI and structural MRI measurements improves classification accuracy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23762488</pmid><doi>10.1371/journal.pone.0066367</doi><tpages>e66367</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_plos_journals_1365653589 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Activities of daily living Aged Aged, 80 and over Aging Alzheimer's disease Alzheimers disease Amygdala Anisotropy Atrophy Automation Biology Biomarkers - analysis Brain Brain Mapping Case-Control Studies Cerebral Cortex - pathology Cerebral Cortex - physiopathology Cingulum Classification Cognition & reasoning Cognitive ability Cognitive Dysfunction - diagnosis Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology Corpus callosum Cortex (entorhinal) Cortex (parietal) Cortex (temporal) Dementia Diffusion Tensor Imaging Female Fornix Hippocampus Hippocampus - pathology Hippocampus - physiopathology Humans Impairment Integrity Magnetic resonance imaging Male Medicine Memory Middle Aged Neurodegenerative diseases Neuroimaging Neurology Neuropsychological Tests Parietal Lobe - pathology Parietal Lobe - physiopathology Patients Performance prediction Sensitivity and Specificity Studies Substantia alba Substantia grisea Temporal lobe Temporal Lobe - pathology Temporal Lobe - physiopathology Thalamus Veterans |
| title | MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T01%3A14%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MRI%20markers%20for%20mild%20cognitive%20impairment:%20comparisons%20between%20white%20matter%20integrity%20and%20gray%20matter%20volume%20measurements&rft.jtitle=PloS%20one&rft.au=Zhang,%20Yu&rft.date=2013-06-06&rft.volume=8&rft.issue=6&rft.spage=e66367&rft.epage=e66367&rft.pages=e66367-e66367&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0066367&rft_dat=%3Cgale_plos_%3EA478411111%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1365653589&rft_id=info:pmid/23762488&rft_galeid=A478411111&rft_doaj_id=oai_doaj_org_article_001fbac4ecf9457f8edc408a7c524710&rfr_iscdi=true |