Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM)
Objective: There has been reports on the usefulness of diffusion tensor imaging (DTI) about age-or disease-related degradation. DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess nor...
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Veröffentlicht in: | The Journal of Medical Investigation 2005, Vol.52(3,4), pp.186-190 |
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creator | Furutani, Kaori Harada, Masafumi Minato, Masako Morita, Naomi Nishitani, Hiromu |
description | Objective: There has been reports on the usefulness of diffusion tensor imaging (DTI) about age-or disease-related degradation. DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess normal aging by DTI and compared results of these two methods. Methods: Ten young and ten senior normal volunteers were examined. On SPM, tensor images were changed into normalized tensor images. They were compared between the two groups by t-test. Results: In the senior group, fractional anisotropy (FA) values were higher on the basal ganglia, cingulated gyrus and other cortical gray matter, lower in the corona radiata, internal capsule, centrum semiovale and corpus callosum by using SPM. In the ROI method, the results were almost compatible except in the brain periphery. Conclusions: Aging changes on water diffusion anisotropy was clearly shown by SPM method which would be useful to evaluate change of water diffusion anisotropy without operator bias even in clinical setting instead of ROI measurement. J. Med. Invest. 52: 186-190, August, 2005 |
doi_str_mv | 10.2152/jmi.52.186 |
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DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess normal aging by DTI and compared results of these two methods. Methods: Ten young and ten senior normal volunteers were examined. On SPM, tensor images were changed into normalized tensor images. They were compared between the two groups by t-test. Results: In the senior group, fractional anisotropy (FA) values were higher on the basal ganglia, cingulated gyrus and other cortical gray matter, lower in the corona radiata, internal capsule, centrum semiovale and corpus callosum by using SPM. In the ROI method, the results were almost compatible except in the brain periphery. Conclusions: Aging changes on water diffusion anisotropy was clearly shown by SPM method which would be useful to evaluate change of water diffusion anisotropy without operator bias even in clinical setting instead of ROI measurement. J. Med. Invest. 52: 186-190, August, 2005</description><identifier>ISSN: 1343-1420</identifier><identifier>EISSN: 1349-6867</identifier><identifier>DOI: 10.2152/jmi.52.186</identifier><identifier>PMID: 16167537</identifier><language>eng</language><publisher>Japan: The University of Tokushima Faculty of Medicine</publisher><subject>Adult ; Aged ; Aging - pathology ; Aging - physiology ; Anisotropy ; Biometry ; Brain - anatomy & histology ; Brain - physiology ; Brain Mapping - methods ; diffusion tensor image ; Female ; Humans ; magnetic resonace imaging ; Magnetic Resonance Imaging ; Male ; Middle Aged ; normal aging ; Statistical Parametric Mapping</subject><ispartof>The Journal of Medical Investigation, 2005, Vol.52(3,4), pp.186-190</ispartof><rights>2005 by The University of Tokushima Faculty of Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-87e0c70dd69f979a9de6cb400f4df09081514e2d520436b61540b4f9a0e75ad13</citedby><cites>FETCH-LOGICAL-c471t-87e0c70dd69f979a9de6cb400f4df09081514e2d520436b61540b4f9a0e75ad13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1877,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16167537$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Furutani, Kaori</creatorcontrib><creatorcontrib>Harada, Masafumi</creatorcontrib><creatorcontrib>Minato, Masako</creatorcontrib><creatorcontrib>Morita, Naomi</creatorcontrib><creatorcontrib>Nishitani, Hiromu</creatorcontrib><title>Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM)</title><title>The Journal of Medical Investigation</title><addtitle>J. Med. Invest.</addtitle><description>Objective: There has been reports on the usefulness of diffusion tensor imaging (DTI) about age-or disease-related degradation. DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess normal aging by DTI and compared results of these two methods. Methods: Ten young and ten senior normal volunteers were examined. On SPM, tensor images were changed into normalized tensor images. They were compared between the two groups by t-test. Results: In the senior group, fractional anisotropy (FA) values were higher on the basal ganglia, cingulated gyrus and other cortical gray matter, lower in the corona radiata, internal capsule, centrum semiovale and corpus callosum by using SPM. In the ROI method, the results were almost compatible except in the brain periphery. Conclusions: Aging changes on water diffusion anisotropy was clearly shown by SPM method which would be useful to evaluate change of water diffusion anisotropy without operator bias even in clinical setting instead of ROI measurement. J. Med. Invest. 52: 186-190, August, 2005</description><subject>Adult</subject><subject>Aged</subject><subject>Aging - pathology</subject><subject>Aging - physiology</subject><subject>Anisotropy</subject><subject>Biometry</subject><subject>Brain - anatomy & histology</subject><subject>Brain - physiology</subject><subject>Brain Mapping - methods</subject><subject>diffusion tensor image</subject><subject>Female</subject><subject>Humans</subject><subject>magnetic resonace imaging</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>normal aging</subject><subject>Statistical Parametric Mapping</subject><issn>1343-1420</issn><issn>1349-6867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkEtLAzEYRYMovjf-AJmVqDA1mbwmSym-wKL4WIc0k4wp8zJJkf57M7bqJjfc73AXB4ATBCcFosXVonUTWkxQybbAPsJE5KxkfPvnj3NECrgHDkJYQIgxpXQX7CGGGKeY7wP7YmrXd6rJ9IfqahOy3mbWKx3Xrepc6KPvh1X25eJH1vW-HevadXW2DOP7GlV0ITqd-mflVWuidzqbqWEYz-evz7OLI7BjVRPM8SYPwfvtzdv0Pn98unuYXj_mmnAU85IbqDmsKias4EKJyjA9JxBaUlkoYIkoIqaoaAEJZnOGKIFzYoWChlNVIXwIzta7g-8_lyZE2bqgTdOozvTLIFlJRcHFCF6uQe37ELyxcvCuVX4lEZSjVZmsyhTJaoJPN6vLeWuqf3SjMQHTNbAIUdXmD1A-aWnM7xaW5DfS7N81mffSdPgb4KiLdQ</recordid><startdate>20050801</startdate><enddate>20050801</enddate><creator>Furutani, Kaori</creator><creator>Harada, Masafumi</creator><creator>Minato, Masako</creator><creator>Morita, Naomi</creator><creator>Nishitani, Hiromu</creator><general>The University of Tokushima Faculty of Medicine</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>7X8</scope></search><sort><creationdate>20050801</creationdate><title>Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM)</title><author>Furutani, Kaori ; Harada, Masafumi ; Minato, Masako ; Morita, Naomi ; Nishitani, Hiromu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-87e0c70dd69f979a9de6cb400f4df09081514e2d520436b61540b4f9a0e75ad13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aging - pathology</topic><topic>Aging - physiology</topic><topic>Anisotropy</topic><topic>Biometry</topic><topic>Brain - anatomy & histology</topic><topic>Brain - physiology</topic><topic>Brain Mapping - methods</topic><topic>diffusion tensor image</topic><topic>Female</topic><topic>Humans</topic><topic>magnetic resonace imaging</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>normal aging</topic><topic>Statistical Parametric Mapping</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Furutani, Kaori</creatorcontrib><creatorcontrib>Harada, Masafumi</creatorcontrib><creatorcontrib>Minato, Masako</creatorcontrib><creatorcontrib>Morita, Naomi</creatorcontrib><creatorcontrib>Nishitani, Hiromu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of Medical Investigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Furutani, Kaori</au><au>Harada, Masafumi</au><au>Minato, Masako</au><au>Morita, Naomi</au><au>Nishitani, Hiromu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM)</atitle><jtitle>The Journal of Medical Investigation</jtitle><addtitle>J. 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subjects | Adult Aged Aging - pathology Aging - physiology Anisotropy Biometry Brain - anatomy & histology Brain - physiology Brain Mapping - methods diffusion tensor image Female Humans magnetic resonace imaging Magnetic Resonance Imaging Male Middle Aged normal aging Statistical Parametric Mapping |
title | Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM) |
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