Parkinson’s disease image analysis
Parkinson's disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sec...
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creator | Rojas-Jiménez, R. I. Muñoz-Diosdado, A. Martínez-Castro, J. A. Rubio-Osornio, M. |
description | Parkinson's disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation. |
doi_str_mv | 10.1063/5.0051207 |
format | Conference Proceeding |
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I. ; Muñoz-Diosdado, A. ; Martínez-Castro, J. A. ; Rubio-Osornio, M.</creator><contributor>Porras-Chaverri, Mariela Adelaida ; Rosado-Mendez, Ivan Miguel ; Galavis, Paulina Esther ; Morales-Barcenas, Jose Hector ; Hernández-Bojórquez, Mariana</contributor><creatorcontrib>Rojas-Jiménez, R. I. ; Muñoz-Diosdado, A. ; Martínez-Castro, J. A. ; Rubio-Osornio, M. ; Porras-Chaverri, Mariela Adelaida ; Rosado-Mendez, Ivan Miguel ; Galavis, Paulina Esther ; Morales-Barcenas, Jose Hector ; Hernández-Bojórquez, Mariana</creatorcontrib><description>Parkinson's disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0051207</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Dopamine ; Image analysis ; Iron ; Neurological diseases ; Parkinson's disease ; Parkinsons disease ; Rodents ; Signs and symptoms ; Software</subject><ispartof>AIP conference proceedings, 2021, Vol.2348 (1)</ispartof><rights>Author(s)</rights><rights>2021 Author(s). 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A.</creatorcontrib><creatorcontrib>Rubio-Osornio, M.</creatorcontrib><title>Parkinson’s disease image analysis</title><title>AIP conference proceedings</title><description>Parkinson's disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.</description><subject>Dopamine</subject><subject>Image analysis</subject><subject>Iron</subject><subject>Neurological diseases</subject><subject>Parkinson's disease</subject><subject>Parkinsons disease</subject><subject>Rodents</subject><subject>Signs and symptoms</subject><subject>Software</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kM9KAzEYxIMoWKsH32BBT8LW78v_PUqxKhT0oOAtZJtEUuvummyF3nwNX88ncaUFb8LAXH4zDEPIKcIEQbJLMQEQSEHtkREKgaWSKPfJCKDiJeXs-ZAc5bwEoJVSekTOH2x6jU1um-_Pr1y4mL3Nvohv9sUXtrGrTY75mBwEu8r-ZOdj8jS7fpzelvP7m7vp1bzsKDBVauQscAEIQfi6ZsqiqnjtXADLUGkn0XrmPA_Bck01q1m1UHQQkworzsbkbNvbpfZ97XNvlu06DSOyoYICAAepB-piS-VF7G0f28Z0aRicNuajTUaY3QOmc-E_GMH8XvYXYD97cVvp</recordid><startdate>20210430</startdate><enddate>20210430</enddate><creator>Rojas-Jiménez, R. I.</creator><creator>Muñoz-Diosdado, A.</creator><creator>Martínez-Castro, J. A.</creator><creator>Rubio-Osornio, M.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20210430</creationdate><title>Parkinson’s disease image analysis</title><author>Rojas-Jiménez, R. I. ; Muñoz-Diosdado, A. ; Martínez-Castro, J. A. ; Rubio-Osornio, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2037-8143f45010f5ebb37a1794bddf0a3178d61ae3de4ffa48283b39c72c723671943</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Dopamine</topic><topic>Image analysis</topic><topic>Iron</topic><topic>Neurological diseases</topic><topic>Parkinson's disease</topic><topic>Parkinsons disease</topic><topic>Rodents</topic><topic>Signs and symptoms</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rojas-Jiménez, R. I.</creatorcontrib><creatorcontrib>Muñoz-Diosdado, A.</creatorcontrib><creatorcontrib>Martínez-Castro, J. 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A.</au><au>Rubio-Osornio, M.</au><au>Porras-Chaverri, Mariela Adelaida</au><au>Rosado-Mendez, Ivan Miguel</au><au>Galavis, Paulina Esther</au><au>Morales-Barcenas, Jose Hector</au><au>Hernández-Bojórquez, Mariana</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Parkinson’s disease image analysis</atitle><btitle>AIP conference proceedings</btitle><date>2021-04-30</date><risdate>2021</risdate><volume>2348</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Parkinson's disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0051207</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Dopamine Image analysis Iron Neurological diseases Parkinson's disease Parkinsons disease Rodents Signs and symptoms Software |
title | Parkinson’s disease image analysis |
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