Baseline free water within the visual processing system predicts future psychosis in Parkinson disease
Background and purpose As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imagi...
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| Veröffentlicht in: | European journal of neurology 2023-04, Vol.30 (4), p.892-901 |
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| container_title | European journal of neurology |
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| creator | Li, Guanglu Zhu, Jiajia Wu, Xingqi Liu, Tingting Hu, Panpan Tian, Yanghua Wang, Kai |
| description | Background and purpose
As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imaging (DTI) metrics of white matter hold independent utility for predicting future psychosis in PD, and whether they could be combined with clinical predictors to improve the prognostication of PD psychosis.
Methods
This study included 123 newly diagnosed PD patients collected in the Parkinson's Progression Markers Initiative. Tract‐based spatial statistics were used to compare baseline DTI metrics between PD patients who developed psychosis and those who did not during follow‐up. Binary logistic regression analyses were performed to identify the clinical and white matter markers predictive of psychosis.
Results
Among DTI measures, both higher baseline whole brain (odds ratio [OR] = 1.711, p = 0.016) free water (FW) and visual processing system (OR = 1.680, p |
| doi_str_mv | 10.1111/ene.15668 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2759959813</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2782841182</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3538-e2976fbb5cffd9976a9d756f8f775af2614cfa87f82c833dd54cbfd6fded50d63</originalsourceid><addsrcrecordid>eNp1kD1PwzAQhi0EglIY-APIEgsMKXEcO84IqHxIFTDAHLn2mRrSpPgSqv57DC0MSHi50-nxe6eHkCOWjlh859DAiAkp1RYZsFyqhHHOtmPPBUsES9ke2Ud8TdM0K7J0l-xxKRSXPB8Qd6kRat8AdQGALnUHgS59N_MN7WZAPzz2uqaL0BpA9M0LxRV2MI8TsN50SF3f9QHoAldm1qJHGn8-6vDmG2wbaj1C3HBAdpyuEQ43dUier8dPV7fJ5OHm7upikhguuEogKwvpplNhnLNl7HVpCyGdckUhtMsky43TqnAqM4pza0Vups5KZ8GK1Eo-JKfr3Hjwew_YVXOPBupaN9D2WGWFKEtRqihoSE7-oK9tH5p4XaRUpnLGVBapszVlQosYwFWL4Oc6rCqWVl_yqyi_-pYf2eNNYj-dg_0lf2xH4HwNLH0Nq_-TqvH9eB35CQiDkBw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2782841182</pqid></control><display><type>article</type><title>Baseline free water within the visual processing system predicts future psychosis in Parkinson disease</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Li, Guanglu ; Zhu, Jiajia ; Wu, Xingqi ; Liu, Tingting ; Hu, Panpan ; Tian, Yanghua ; Wang, Kai</creator><creatorcontrib>Li, Guanglu ; Zhu, Jiajia ; Wu, Xingqi ; Liu, Tingting ; Hu, Panpan ; Tian, Yanghua ; Wang, Kai</creatorcontrib><description>Background and purpose
As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imaging (DTI) metrics of white matter hold independent utility for predicting future psychosis in PD, and whether they could be combined with clinical predictors to improve the prognostication of PD psychosis.
Methods
This study included 123 newly diagnosed PD patients collected in the Parkinson's Progression Markers Initiative. Tract‐based spatial statistics were used to compare baseline DTI metrics between PD patients who developed psychosis and those who did not during follow‐up. Binary logistic regression analyses were performed to identify the clinical and white matter markers predictive of psychosis.
Results
Among DTI measures, both higher baseline whole brain (odds ratio [OR] = 1.711, p = 0.016) free water (FW) and visual processing system (OR = 1.680, p < 0.001) FW were associated with an increased risk of future psychosis. Baseline FW remained a significant indicator of future psychosis in PD after controlling for clinical predictors. Moreover, the accuracy of prediction of psychosis using clinical predictors alone (area under the curve [AUC] = 0.742, 95% confidence interval [CI] = 0.655–0.816) was significantly improved by the addition of the visual processing system FW (AUC = 0.856, 95% CI = 0.781–0.912; Delong method, p = 0.022).
Conclusions
Baseline FW of the visual processing system incurs an independent risk of future psychosis in PD, thus providing an opportunity for multiple‐modality marker models to include a white matter marker.</description><identifier>ISSN: 1351-5101</identifier><identifier>EISSN: 1468-1331</identifier><identifier>DOI: 10.1111/ene.15668</identifier><identifier>PMID: 36583634</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Confidence intervals ; diffusion tensor imaging ; Diffusion Tensor Imaging - methods ; free water ; Humans ; Information processing ; Longitudinal Studies ; Magnetic resonance imaging ; Mental disorders ; Movement disorders ; Neurodegenerative diseases ; Neuroimaging ; Parkinson disease ; Parkinson Disease - complications ; Parkinson's disease ; Psychosis ; Psychotic Disorders - diagnosis ; Quality of Life ; Regression analysis ; Risk ; Statistical analysis ; Substantia alba ; Tensors ; tract‐based spatial statistics ; Visual Perception ; Water ; White Matter</subject><ispartof>European journal of neurology, 2023-04, Vol.30 (4), p.892-901</ispartof><rights>2023 European Academy of Neurology.</rights><rights>Copyright © 2023 European Academy of Neurology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3538-e2976fbb5cffd9976a9d756f8f775af2614cfa87f82c833dd54cbfd6fded50d63</citedby><cites>FETCH-LOGICAL-c3538-e2976fbb5cffd9976a9d756f8f775af2614cfa87f82c833dd54cbfd6fded50d63</cites><orcidid>0000-0003-0368-8755 ; 0000-0003-0646-1353 ; 0000-0002-6197-914X ; 0000-0001-5038-0599</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fene.15668$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fene.15668$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36583634$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Guanglu</creatorcontrib><creatorcontrib>Zhu, Jiajia</creatorcontrib><creatorcontrib>Wu, Xingqi</creatorcontrib><creatorcontrib>Liu, Tingting</creatorcontrib><creatorcontrib>Hu, Panpan</creatorcontrib><creatorcontrib>Tian, Yanghua</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><title>Baseline free water within the visual processing system predicts future psychosis in Parkinson disease</title><title>European journal of neurology</title><addtitle>Eur J Neurol</addtitle><description>Background and purpose
As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imaging (DTI) metrics of white matter hold independent utility for predicting future psychosis in PD, and whether they could be combined with clinical predictors to improve the prognostication of PD psychosis.
Methods
This study included 123 newly diagnosed PD patients collected in the Parkinson's Progression Markers Initiative. Tract‐based spatial statistics were used to compare baseline DTI metrics between PD patients who developed psychosis and those who did not during follow‐up. Binary logistic regression analyses were performed to identify the clinical and white matter markers predictive of psychosis.
Results
Among DTI measures, both higher baseline whole brain (odds ratio [OR] = 1.711, p = 0.016) free water (FW) and visual processing system (OR = 1.680, p < 0.001) FW were associated with an increased risk of future psychosis. Baseline FW remained a significant indicator of future psychosis in PD after controlling for clinical predictors. Moreover, the accuracy of prediction of psychosis using clinical predictors alone (area under the curve [AUC] = 0.742, 95% confidence interval [CI] = 0.655–0.816) was significantly improved by the addition of the visual processing system FW (AUC = 0.856, 95% CI = 0.781–0.912; Delong method, p = 0.022).
Conclusions
Baseline FW of the visual processing system incurs an independent risk of future psychosis in PD, thus providing an opportunity for multiple‐modality marker models to include a white matter marker.</description><subject>Confidence intervals</subject><subject>diffusion tensor imaging</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>free water</subject><subject>Humans</subject><subject>Information processing</subject><subject>Longitudinal Studies</subject><subject>Magnetic resonance imaging</subject><subject>Mental disorders</subject><subject>Movement disorders</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Parkinson disease</subject><subject>Parkinson Disease - complications</subject><subject>Parkinson's disease</subject><subject>Psychosis</subject><subject>Psychotic Disorders - diagnosis</subject><subject>Quality of Life</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Statistical analysis</subject><subject>Substantia alba</subject><subject>Tensors</subject><subject>tract‐based spatial statistics</subject><subject>Visual Perception</subject><subject>Water</subject><subject>White Matter</subject><issn>1351-5101</issn><issn>1468-1331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kD1PwzAQhi0EglIY-APIEgsMKXEcO84IqHxIFTDAHLn2mRrSpPgSqv57DC0MSHi50-nxe6eHkCOWjlh859DAiAkp1RYZsFyqhHHOtmPPBUsES9ke2Ud8TdM0K7J0l-xxKRSXPB8Qd6kRat8AdQGALnUHgS59N_MN7WZAPzz2uqaL0BpA9M0LxRV2MI8TsN50SF3f9QHoAldm1qJHGn8-6vDmG2wbaj1C3HBAdpyuEQ43dUier8dPV7fJ5OHm7upikhguuEogKwvpplNhnLNl7HVpCyGdckUhtMsky43TqnAqM4pza0Vups5KZ8GK1Eo-JKfr3Hjwew_YVXOPBupaN9D2WGWFKEtRqihoSE7-oK9tH5p4XaRUpnLGVBapszVlQosYwFWL4Oc6rCqWVl_yqyi_-pYf2eNNYj-dg_0lf2xH4HwNLH0Nq_-TqvH9eB35CQiDkBw</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Li, Guanglu</creator><creator>Zhu, Jiajia</creator><creator>Wu, Xingqi</creator><creator>Liu, Tingting</creator><creator>Hu, Panpan</creator><creator>Tian, Yanghua</creator><creator>Wang, Kai</creator><general>John Wiley & Sons, Inc</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>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0368-8755</orcidid><orcidid>https://orcid.org/0000-0003-0646-1353</orcidid><orcidid>https://orcid.org/0000-0002-6197-914X</orcidid><orcidid>https://orcid.org/0000-0001-5038-0599</orcidid></search><sort><creationdate>202304</creationdate><title>Baseline free water within the visual processing system predicts future psychosis in Parkinson disease</title><author>Li, Guanglu ; Zhu, Jiajia ; Wu, Xingqi ; Liu, Tingting ; Hu, Panpan ; Tian, Yanghua ; Wang, Kai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3538-e2976fbb5cffd9976a9d756f8f775af2614cfa87f82c833dd54cbfd6fded50d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Confidence intervals</topic><topic>diffusion tensor imaging</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>free water</topic><topic>Humans</topic><topic>Information processing</topic><topic>Longitudinal Studies</topic><topic>Magnetic resonance imaging</topic><topic>Mental disorders</topic><topic>Movement disorders</topic><topic>Neurodegenerative diseases</topic><topic>Neuroimaging</topic><topic>Parkinson disease</topic><topic>Parkinson Disease - complications</topic><topic>Parkinson's disease</topic><topic>Psychosis</topic><topic>Psychotic Disorders - diagnosis</topic><topic>Quality of Life</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>Statistical analysis</topic><topic>Substantia alba</topic><topic>Tensors</topic><topic>tract‐based spatial statistics</topic><topic>Visual Perception</topic><topic>Water</topic><topic>White Matter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Guanglu</creatorcontrib><creatorcontrib>Zhu, Jiajia</creatorcontrib><creatorcontrib>Wu, Xingqi</creatorcontrib><creatorcontrib>Liu, Tingting</creatorcontrib><creatorcontrib>Hu, Panpan</creatorcontrib><creatorcontrib>Tian, Yanghua</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Guanglu</au><au>Zhu, Jiajia</au><au>Wu, Xingqi</au><au>Liu, Tingting</au><au>Hu, Panpan</au><au>Tian, Yanghua</au><au>Wang, Kai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Baseline free water within the visual processing system predicts future psychosis in Parkinson disease</atitle><jtitle>European journal of neurology</jtitle><addtitle>Eur J Neurol</addtitle><date>2023-04</date><risdate>2023</risdate><volume>30</volume><issue>4</issue><spage>892</spage><epage>901</epage><pages>892-901</pages><issn>1351-5101</issn><eissn>1468-1331</eissn><abstract>Background and purpose
As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imaging (DTI) metrics of white matter hold independent utility for predicting future psychosis in PD, and whether they could be combined with clinical predictors to improve the prognostication of PD psychosis.
Methods
This study included 123 newly diagnosed PD patients collected in the Parkinson's Progression Markers Initiative. Tract‐based spatial statistics were used to compare baseline DTI metrics between PD patients who developed psychosis and those who did not during follow‐up. Binary logistic regression analyses were performed to identify the clinical and white matter markers predictive of psychosis.
Results
Among DTI measures, both higher baseline whole brain (odds ratio [OR] = 1.711, p = 0.016) free water (FW) and visual processing system (OR = 1.680, p < 0.001) FW were associated with an increased risk of future psychosis. Baseline FW remained a significant indicator of future psychosis in PD after controlling for clinical predictors. Moreover, the accuracy of prediction of psychosis using clinical predictors alone (area under the curve [AUC] = 0.742, 95% confidence interval [CI] = 0.655–0.816) was significantly improved by the addition of the visual processing system FW (AUC = 0.856, 95% CI = 0.781–0.912; Delong method, p = 0.022).
Conclusions
Baseline FW of the visual processing system incurs an independent risk of future psychosis in PD, thus providing an opportunity for multiple‐modality marker models to include a white matter marker.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>36583634</pmid><doi>10.1111/ene.15668</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0368-8755</orcidid><orcidid>https://orcid.org/0000-0003-0646-1353</orcidid><orcidid>https://orcid.org/0000-0002-6197-914X</orcidid><orcidid>https://orcid.org/0000-0001-5038-0599</orcidid></addata></record> |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Confidence intervals diffusion tensor imaging Diffusion Tensor Imaging - methods free water Humans Information processing Longitudinal Studies Magnetic resonance imaging Mental disorders Movement disorders Neurodegenerative diseases Neuroimaging Parkinson disease Parkinson Disease - complications Parkinson's disease Psychosis Psychotic Disorders - diagnosis Quality of Life Regression analysis Risk Statistical analysis Substantia alba Tensors tract‐based spatial statistics Visual Perception Water White Matter |
| title | Baseline free water within the visual processing system predicts future psychosis in Parkinson disease |
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