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Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study
Objective. To explore altered regional neuronal activity in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and its correlation with clinical performances using the regional homogeneity (ReHo) method, which is based on resting-state functional magnetic resonance imaging (fMRI)....
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Published in: | Neural plasticity 2020, Vol.2020 (2020), p.1-9 |
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description | Objective. To explore altered regional neuronal activity in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and its correlation with clinical performances using the regional homogeneity (ReHo) method, which is based on resting-state functional magnetic resonance imaging (fMRI). Method. Thirty-one patients with NAION (20 males, 11 females) and 31 age- and sex-matched normal controls (NCs) (20 males, 11 females) were enrolled in the study. All patients underwent ophthalmic examination, including eyesight, intraocular pressure measurement, optimal coherence tomography (OCT), visual field analysis, and fMRI scans. After ReHo was calculated, we investigated group differences in results between the patients and NCs. We analyzed the relationship between ReHo values for different brain regions in patients with NAION and intraocular pressure, visual field analysis, and OCT. A receiver operating characteristic (ROC) curve was used to assess the diagnostic ability of the ReHo method. Results. Compared with NCs, patients with NAION exhibited higher ReHo values in the left middle frontal gyrus, left middle cingulate gyrus, left superior temporal gyrus, and left inferior parietal lobule. Additionally, they exhibited lower ReHo values in the right lingual gyrus, left putamen/lentiform nucleus, and left superior parietal lobule. ReHo values in the left superior parietal lobule were negatively correlated with right retinal nerve fiber layer values (r=−0.462, P=0.01). The area under the ROC curve for each brain region indicated that the ReHo method is a credible means of diagnosing patient with NAION. Conclusion. NAION was primarily associated with dysfunction in the default mode network, which may reflect its underlying neural mechanisms. |
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To explore altered regional neuronal activity in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and its correlation with clinical performances using the regional homogeneity (ReHo) method, which is based on resting-state functional magnetic resonance imaging (fMRI). Method. Thirty-one patients with NAION (20 males, 11 females) and 31 age- and sex-matched normal controls (NCs) (20 males, 11 females) were enrolled in the study. All patients underwent ophthalmic examination, including eyesight, intraocular pressure measurement, optimal coherence tomography (OCT), visual field analysis, and fMRI scans. After ReHo was calculated, we investigated group differences in results between the patients and NCs. We analyzed the relationship between ReHo values for different brain regions in patients with NAION and intraocular pressure, visual field analysis, and OCT. A receiver operating characteristic (ROC) curve was used to assess the diagnostic ability of the ReHo method. Results. Compared with NCs, patients with NAION exhibited higher ReHo values in the left middle frontal gyrus, left middle cingulate gyrus, left superior temporal gyrus, and left inferior parietal lobule. Additionally, they exhibited lower ReHo values in the right lingual gyrus, left putamen/lentiform nucleus, and left superior parietal lobule. ReHo values in the left superior parietal lobule were negatively correlated with right retinal nerve fiber layer values (r=−0.462, P=0.01). The area under the ROC curve for each brain region indicated that the ReHo method is a credible means of diagnosing patient with NAION. Conclusion. NAION was primarily associated with dysfunction in the default mode network, which may reflect its underlying neural mechanisms.</description><identifier>ISSN: 2090-5904</identifier><identifier>EISSN: 1687-5443</identifier><identifier>DOI: 10.1155/2020/8826787</identifier><identifier>PMID: 32963518</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Age ; Cardiovascular disease ; Data analysis ; Data processing ; Hospitals ; Hypertension ; Magnetic resonance imaging ; Software ; Statistical analysis ; Time series ; Values</subject><ispartof>Neural plasticity, 2020, Vol.2020 (2020), p.1-9</ispartof><rights>Copyright © 2020 Pengde Guo et al.</rights><rights>Copyright © 2020 Pengde Guo et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2020 Pengde Guo et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c514t-ac35f1cc4634af49c5a4c245d86636ad3b991c95e8c3fc1993ada393cfbedb3a3</citedby><cites>FETCH-LOGICAL-c514t-ac35f1cc4634af49c5a4c245d86636ad3b991c95e8c3fc1993ada393cfbedb3a3</cites><orcidid>0000-0001-6456-7733</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2444278639/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2444278639?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,25753,27923,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>Bagnato, Sergio</contributor><contributor>Sergio Bagnato</contributor><creatorcontrib>Kang, Shaohong</creatorcontrib><creatorcontrib>Hua, Haiqin</creatorcontrib><creatorcontrib>Chen, Yunxiang</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Su, Yan</creatorcontrib><creatorcontrib>Lv, Han</creatorcontrib><creatorcontrib>Zhao, Pengbo</creatorcontrib><creatorcontrib>Guo, Pengde</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><title>Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study</title><title>Neural plasticity</title><description>Objective. To explore altered regional neuronal activity in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and its correlation with clinical performances using the regional homogeneity (ReHo) method, which is based on resting-state functional magnetic resonance imaging (fMRI). Method. Thirty-one patients with NAION (20 males, 11 females) and 31 age- and sex-matched normal controls (NCs) (20 males, 11 females) were enrolled in the study. All patients underwent ophthalmic examination, including eyesight, intraocular pressure measurement, optimal coherence tomography (OCT), visual field analysis, and fMRI scans. After ReHo was calculated, we investigated group differences in results between the patients and NCs. We analyzed the relationship between ReHo values for different brain regions in patients with NAION and intraocular pressure, visual field analysis, and OCT. A receiver operating characteristic (ROC) curve was used to assess the diagnostic ability of the ReHo method. Results. Compared with NCs, patients with NAION exhibited higher ReHo values in the left middle frontal gyrus, left middle cingulate gyrus, left superior temporal gyrus, and left inferior parietal lobule. Additionally, they exhibited lower ReHo values in the right lingual gyrus, left putamen/lentiform nucleus, and left superior parietal lobule. ReHo values in the left superior parietal lobule were negatively correlated with right retinal nerve fiber layer values (r=−0.462, P=0.01). The area under the ROC curve for each brain region indicated that the ReHo method is a credible means of diagnosing patient with NAION. Conclusion. NAION was primarily associated with dysfunction in the default mode network, which may reflect its underlying neural mechanisms.</description><subject>Age</subject><subject>Cardiovascular disease</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Magnetic resonance imaging</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Time series</subject><subject>Values</subject><issn>2090-5904</issn><issn>1687-5443</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFks9v0zAcxS0EYl3hxhlF4oIEYY5_JeaAFE0MKo1NWuFsObbTukrt4DhD_Qf2d-M0FWhcOPmr54-f7acHwKsCfigKSi8QRPCiqhArq_IJWBSsKnNKCH4KFghymFMOyRk4H4YdhIRRSp-DM4w4w7SoFuChbpwPe9lld2ZjvUvDuvcuSmf8OGQ3ZgxJqlW09zYeMuuymwSFaIKNVmW1myYfstWgtmaflNt-0qdzvpdxe_iY1cl6iNZt8nWU0WRXo0t2x6u-3a2ydRz14QV41spuMC9P6xL8uPr8_fJrfn37ZXVZX-eKFiTmUmHaFkoRholsCVdUEoUI1RVjmEmNG84LxampFG5VwTmWWmKOVdsY3WCJl2A1-2ovd6IPdi_DQXhpxVHwYSPS56zqjMCkLDVsodackxIyjqk0jGhqoGIEtcnr0-zVj83eaGVcTFk9Mn284-xWbPy9KAnniNNk8PZkEPzPMWUk9nZQpuvm8AUihBLEKCwT-uYfdOfHkCI8UgSVFUvfXIL3M6WCH4Zg2j-PKaCYyiKmsohTWRL-bsa31mn5y_6Pfj3TJjGmlX_phFWpcL8B9ALJCw</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Kang, Shaohong</creator><creator>Hua, Haiqin</creator><creator>Chen, Yunxiang</creator><creator>Liu, Ming</creator><creator>Su, Yan</creator><creator>Lv, Han</creator><creator>Zhao, Pengbo</creator><creator>Guo, Pengde</creator><creator>Wang, Yan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2M</scope><scope>PIMPY</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><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6456-7733</orcidid></search><sort><creationdate>2020</creationdate><title>Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study</title><author>Kang, Shaohong ; Hua, Haiqin ; Chen, Yunxiang ; Liu, Ming ; Su, Yan ; Lv, Han ; Zhao, Pengbo ; Guo, Pengde ; Wang, Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c514t-ac35f1cc4634af49c5a4c245d86636ad3b991c95e8c3fc1993ada393cfbedb3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Cardiovascular disease</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Magnetic resonance imaging</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Time series</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Shaohong</creatorcontrib><creatorcontrib>Hua, Haiqin</creatorcontrib><creatorcontrib>Chen, Yunxiang</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Su, Yan</creatorcontrib><creatorcontrib>Lv, Han</creatorcontrib><creatorcontrib>Zhao, Pengbo</creatorcontrib><creatorcontrib>Guo, Pengde</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</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>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Psychology Database</collection><collection>Publicly Available Content Database</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><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Neural plasticity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Shaohong</au><au>Hua, Haiqin</au><au>Chen, Yunxiang</au><au>Liu, Ming</au><au>Su, Yan</au><au>Lv, Han</au><au>Zhao, Pengbo</au><au>Guo, Pengde</au><au>Wang, Yan</au><au>Bagnato, Sergio</au><au>Sergio Bagnato</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study</atitle><jtitle>Neural plasticity</jtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>2090-5904</issn><eissn>1687-5443</eissn><abstract>Objective. To explore altered regional neuronal activity in patients with nonarteritic anterior ischemic optic neuropathy (NAION) and its correlation with clinical performances using the regional homogeneity (ReHo) method, which is based on resting-state functional magnetic resonance imaging (fMRI). Method. Thirty-one patients with NAION (20 males, 11 females) and 31 age- and sex-matched normal controls (NCs) (20 males, 11 females) were enrolled in the study. All patients underwent ophthalmic examination, including eyesight, intraocular pressure measurement, optimal coherence tomography (OCT), visual field analysis, and fMRI scans. After ReHo was calculated, we investigated group differences in results between the patients and NCs. We analyzed the relationship between ReHo values for different brain regions in patients with NAION and intraocular pressure, visual field analysis, and OCT. A receiver operating characteristic (ROC) curve was used to assess the diagnostic ability of the ReHo method. Results. Compared with NCs, patients with NAION exhibited higher ReHo values in the left middle frontal gyrus, left middle cingulate gyrus, left superior temporal gyrus, and left inferior parietal lobule. Additionally, they exhibited lower ReHo values in the right lingual gyrus, left putamen/lentiform nucleus, and left superior parietal lobule. ReHo values in the left superior parietal lobule were negatively correlated with right retinal nerve fiber layer values (r=−0.462, P=0.01). The area under the ROC curve for each brain region indicated that the ReHo method is a credible means of diagnosing patient with NAION. Conclusion. NAION was primarily associated with dysfunction in the default mode network, which may reflect its underlying neural mechanisms.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>32963518</pmid><doi>10.1155/2020/8826787</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-6456-7733</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Cardiovascular disease Data analysis Data processing Hospitals Hypertension Magnetic resonance imaging Software Statistical analysis Time series Values |
title | Abnormal Regional Spontaneous Neural Activity in Nonarteritic Anterior Ischemic Optic Neuropathy: A Resting-State Functional MRI Study |
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