RESTING STATE FMRI DISCERNS EARLY PARKINSON'S FROM CONTROLS
Background Resting state functional MRI (RS-fMRI) has been shown by our group to be a promising tool in investigation early PD. In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer&...
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| Veröffentlicht in: | Journal of neurology, neurosurgery and psychiatry neurosurgery and psychiatry, 2014-10, Vol.85 (10), p.e4-e4 |
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| container_title | Journal of neurology, neurosurgery and psychiatry |
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| creator | Rolinski, Michal Szewczyk-Krolikowski, Konrad Menke, Ricarda AL Filippini, Nicola Heise, Verena Zamboni, Giovanna Wilcock, Gordon Talbot, Kevin Hu, Michele Mackay, Clare |
| description | Background Resting state functional MRI (RS-fMRI) has been shown by our group to be a promising tool in investigation early PD. In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer's disease (AD). Methods RS-fMRI data were collected from thirty-two patents with early PD, eight patients with dementia with Lewy bodies (DLB), nineteen healthy controls and thirty-one patients with AD. Data-driven independent component analysis was used to derive the basal ganglia network, and connectivity values were extracted bilaterally from the caudate, putamen and pallidum. Results Connectivity values within the three regions of interest were significantly lower in patients with PD relative to those with AD and healthy controls. When combined into a single connectivity score, these values successfully differentiated PD from controls (area under the curve (AUC)=0.83, p |
| doi_str_mv | 10.1136/jnnp-2014-309236.204 |
| format | Article |
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In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer's disease (AD). Methods RS-fMRI data were collected from thirty-two patents with early PD, eight patients with dementia with Lewy bodies (DLB), nineteen healthy controls and thirty-one patients with AD. Data-driven independent component analysis was used to derive the basal ganglia network, and connectivity values were extracted bilaterally from the caudate, putamen and pallidum. Results Connectivity values within the three regions of interest were significantly lower in patients with PD relative to those with AD and healthy controls. When combined into a single connectivity score, these values successfully differentiated PD from controls (area under the curve (AUC)=0.83, p<0.001), PD from AD (AUC=0.77, p<0.001), and PD and DLB from AD and healthy controls (AUC=0.78, p<0.0001). Conclusions We have demonstrated that RS-fMRI may be used to differentiate patients with early PD from healthy and disease controls. Our results hold promise for the use for the use of RS-fMRI as a biomarker in prodromal PD.</description><identifier>ISSN: 0022-3050</identifier><identifier>EISSN: 1468-330X</identifier><identifier>DOI: 10.1136/jnnp-2014-309236.204</identifier><identifier>CODEN: JNNPAU</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><ispartof>Journal of neurology, neurosurgery and psychiatry, 2014-10, Vol.85 (10), p.e4-e4</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b2434-1029b6bd4b05e3622efe0add589360148f28a5f18344989b84f84b5d42f6fa9c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jnnp.bmj.com/content/85/10/e4.118.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jnnp.bmj.com/content/85/10/e4.118.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77343,77374</link.rule.ids></links><search><creatorcontrib>Rolinski, Michal</creatorcontrib><creatorcontrib>Szewczyk-Krolikowski, Konrad</creatorcontrib><creatorcontrib>Menke, Ricarda AL</creatorcontrib><creatorcontrib>Filippini, Nicola</creatorcontrib><creatorcontrib>Heise, Verena</creatorcontrib><creatorcontrib>Zamboni, Giovanna</creatorcontrib><creatorcontrib>Wilcock, Gordon</creatorcontrib><creatorcontrib>Talbot, Kevin</creatorcontrib><creatorcontrib>Hu, Michele</creatorcontrib><creatorcontrib>Mackay, Clare</creatorcontrib><title>RESTING STATE FMRI DISCERNS EARLY PARKINSON'S FROM CONTROLS</title><title>Journal of neurology, neurosurgery and psychiatry</title><description>Background Resting state functional MRI (RS-fMRI) has been shown by our group to be a promising tool in investigation early PD. In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer's disease (AD). Methods RS-fMRI data were collected from thirty-two patents with early PD, eight patients with dementia with Lewy bodies (DLB), nineteen healthy controls and thirty-one patients with AD. Data-driven independent component analysis was used to derive the basal ganglia network, and connectivity values were extracted bilaterally from the caudate, putamen and pallidum. Results Connectivity values within the three regions of interest were significantly lower in patients with PD relative to those with AD and healthy controls. When combined into a single connectivity score, these values successfully differentiated PD from controls (area under the curve (AUC)=0.83, p<0.001), PD from AD (AUC=0.77, p<0.001), and PD and DLB from AD and healthy controls (AUC=0.78, p<0.0001). Conclusions We have demonstrated that RS-fMRI may be used to differentiate patients with early PD from healthy and disease controls. Our results hold promise for the use for the use of RS-fMRI as a biomarker in prodromal PD.</description><issn>0022-3050</issn><issn>1468-330X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkE1Pg0AQhjdGE2v1H3gg8aAX2v3ubjwRpJVIwQAmetpA2U1KWqisHPz3QvDkybnMJPO8k8kDwC2CC4QIX9ZNc3IxRNQlUGLCFxjSMzBDlAuXEPh-DmYQYjxsGbwEV9bWcCwhZ-AxDbI8jDdOlnt54Ky3aeg8hZkfpHHmBF4afTivXvoSxlkS32fOOk22jp_EeZpE2TW4MMXB6pvfPgdv6yD3n90o2YS-F7klpoS6CGJZ8rKiJWSacIy10bCoKiYk4cPTwmBRMIMEoVQKWQpqBC1ZRbHhppA7MgcP091T13722n6p497u9OFQNLrtrUICCk4YZ2JA7_6gddt3zfCdQiuBMEMrigaKTtSua63ttFGnbn8sum-FoBqNqtGoGo2qyegw0yG2nGLlsf5f4gexHnD4</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Rolinski, Michal</creator><creator>Szewczyk-Krolikowski, Konrad</creator><creator>Menke, Ricarda AL</creator><creator>Filippini, Nicola</creator><creator>Heise, Verena</creator><creator>Zamboni, Giovanna</creator><creator>Wilcock, Gordon</creator><creator>Talbot, Kevin</creator><creator>Hu, Michele</creator><creator>Mackay, Clare</creator><general>BMJ Publishing Group LTD</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</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>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7TK</scope></search><sort><creationdate>201410</creationdate><title>RESTING STATE FMRI DISCERNS EARLY PARKINSON'S FROM CONTROLS</title><author>Rolinski, Michal ; Szewczyk-Krolikowski, Konrad ; Menke, Ricarda AL ; Filippini, Nicola ; Heise, Verena ; Zamboni, Giovanna ; Wilcock, Gordon ; Talbot, Kevin ; Hu, Michele ; Mackay, Clare</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b2434-1029b6bd4b05e3622efe0add589360148f28a5f18344989b84f84b5d42f6fa9c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rolinski, Michal</creatorcontrib><creatorcontrib>Szewczyk-Krolikowski, Konrad</creatorcontrib><creatorcontrib>Menke, Ricarda AL</creatorcontrib><creatorcontrib>Filippini, Nicola</creatorcontrib><creatorcontrib>Heise, Verena</creatorcontrib><creatorcontrib>Zamboni, Giovanna</creatorcontrib><creatorcontrib>Wilcock, Gordon</creatorcontrib><creatorcontrib>Talbot, Kevin</creatorcontrib><creatorcontrib>Hu, Michele</creatorcontrib><creatorcontrib>Mackay, Clare</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</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</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Nursing & Allied Health Premium</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>Neurosciences Abstracts</collection><jtitle>Journal of neurology, neurosurgery and psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rolinski, Michal</au><au>Szewczyk-Krolikowski, Konrad</au><au>Menke, Ricarda AL</au><au>Filippini, Nicola</au><au>Heise, Verena</au><au>Zamboni, Giovanna</au><au>Wilcock, Gordon</au><au>Talbot, Kevin</au><au>Hu, Michele</au><au>Mackay, Clare</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RESTING STATE FMRI DISCERNS EARLY PARKINSON'S FROM CONTROLS</atitle><jtitle>Journal of neurology, neurosurgery and psychiatry</jtitle><date>2014-10</date><risdate>2014</risdate><volume>85</volume><issue>10</issue><spage>e4</spage><epage>e4</epage><pages>e4-e4</pages><issn>0022-3050</issn><eissn>1468-330X</eissn><coden>JNNPAU</coden><abstract>Background Resting state functional MRI (RS-fMRI) has been shown by our group to be a promising tool in investigation early PD. In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer's disease (AD). Methods RS-fMRI data were collected from thirty-two patents with early PD, eight patients with dementia with Lewy bodies (DLB), nineteen healthy controls and thirty-one patients with AD. Data-driven independent component analysis was used to derive the basal ganglia network, and connectivity values were extracted bilaterally from the caudate, putamen and pallidum. Results Connectivity values within the three regions of interest were significantly lower in patients with PD relative to those with AD and healthy controls. When combined into a single connectivity score, these values successfully differentiated PD from controls (area under the curve (AUC)=0.83, p<0.001), PD from AD (AUC=0.77, p<0.001), and PD and DLB from AD and healthy controls (AUC=0.78, p<0.0001). Conclusions We have demonstrated that RS-fMRI may be used to differentiate patients with early PD from healthy and disease controls. Our results hold promise for the use for the use of RS-fMRI as a biomarker in prodromal PD.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/jnnp-2014-309236.204</doi><oa>free_for_read</oa></addata></record> |
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| title | RESTING STATE FMRI DISCERNS EARLY PARKINSON'S FROM CONTROLS |
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