Resting state fMRI brain mapping in pediatric supratentorial brain tumors
Background Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with brain tumors. Resting state functional MRI (rs-fMRI) allows the localization of functional brain areas without the need for task performance, making it well-suited for the pediatric population...
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| Veröffentlicht in: | Egyptian Journal of Radiology and Nuclear Medicine 2022-02, Vol.53 (1), p.1-10, Article 35 |
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| container_title | Egyptian Journal of Radiology and Nuclear Medicine |
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| creator | Anwar, Ahmed Radwan, Ahmed Zaky, Iman El Ayadi, Moatasem Youssef, Ayda |
| description | Background
Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with brain tumors. Resting state functional MRI (rs-fMRI) allows the localization of functional brain areas without the need for task performance, making it well-suited for the pediatric population. In this study the independent component analysis (ICA) rs-fMRI functional mapping results are reported in a group of 22 pediatric patients with supratentorial brain tumors. Additionally, the functional connectivity (FC) maps of the sensori-motor network (SMN) obtained using ICA and seed-based analysis (SBA) are compared.
Results
Different resting state networks (RSNs) were extracted using ICA with varying levels of sensitivity, notably, the SMN was identified in 100% of patients, followed by the Default mode network (DMN) (91%) and Language networks (80%). Additionally, FC maps of the SMN extracted by SBA were more extensive (mean volume = 25,288.36 mm
3
, standard deviation = 13,364.36 mm
3
) than those found on ICA (mean volume = 13,403.27 mm
3
, standard deviation = 9755.661 mm
3
). This was confirmed by statistical analysis using a Wilcoxon signed rank
t
test at
p
|
| doi_str_mv | 10.1186/s43055-022-00713-3 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_gale_infotracmisc_A692453481</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A692453481</galeid><doaj_id>oai_doaj_org_article_4cbbd7157ba34b68a562e14db82958d7</doaj_id><sourcerecordid>A692453481</sourcerecordid><originalsourceid>FETCH-LOGICAL-c468t-9492d5a831bb2ffe5a165ad805367f3246204e5023dc84b547ff9ff639f6c4ac3</originalsourceid><addsrcrecordid>eNp9kUtLxTAQhYsoKOofcFVwXc276VLExwVFEF2HyeuSy21TktyF_95oRRTEZJFh8p3DMKdpzjC6wFiKy8wo4rxDhHQI9Zh2dK85ImhAHesF2f9RHzanOW9QPQwhLNhRs3p2uYRp3eYCxbX-8XnV6gRhakeY54-PWs7OBigpmDbv5lS5qcQUYPtFlt0YUz5pDjxsszv9eo-b19ubl-v77uHpbnV99dAZJmTpBjYQy0FSrDXx3nHAgoOViFPRe0qYIIg5jgi1RjLNWe_94L2ggxeGgaHHzWrxtRE2ak5hhPSmIgT12YhprSCVYLZOMaO17THvNVCmhQQuiMPMakkGLm1fvc4XrzVUPEw-lgRmDNmoKzEQximTuFIXf1D1WjcGEyfnQ-3_EpBFYFLMOTn_PSZG6iMytUSmamTqMzJFq4guolzhae2S2sRdmuoq_1O9A1dBl0Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Resting state fMRI brain mapping in pediatric supratentorial brain tumors</title><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Anwar, Ahmed ; Radwan, Ahmed ; Zaky, Iman ; El Ayadi, Moatasem ; Youssef, Ayda</creator><creatorcontrib>Anwar, Ahmed ; Radwan, Ahmed ; Zaky, Iman ; El Ayadi, Moatasem ; Youssef, Ayda</creatorcontrib><description>Background
Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with brain tumors. Resting state functional MRI (rs-fMRI) allows the localization of functional brain areas without the need for task performance, making it well-suited for the pediatric population. In this study the independent component analysis (ICA) rs-fMRI functional mapping results are reported in a group of 22 pediatric patients with supratentorial brain tumors. Additionally, the functional connectivity (FC) maps of the sensori-motor network (SMN) obtained using ICA and seed-based analysis (SBA) are compared.
Results
Different resting state networks (RSNs) were extracted using ICA with varying levels of sensitivity, notably, the SMN was identified in 100% of patients, followed by the Default mode network (DMN) (91%) and Language networks (80%). Additionally, FC maps of the SMN extracted by SBA were more extensive (mean volume = 25,288.36 mm
3
, standard deviation = 13,364.36 mm
3
) than those found on ICA (mean volume = 13,403.27 mm
3
, standard deviation = 9755.661 mm
3
). This was confirmed by statistical analysis using a Wilcoxon signed rank
t
test at
p
< 0.01.
Conclusions
Results clearly demonstrate the successful applicability of rs-fMRI for localizing different functional brain networks in the preoperative assessment of brain areas, and thus represent a further step in the integration of computational radiology research in a clinical setting.</description><identifier>ISSN: 2090-4762</identifier><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-022-00713-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Brain ; Brain tumors ; Children ; Health aspects ; Imaging ; Magnetic resonance imaging ; Medicine ; Medicine & Public Health ; Nuclear Medicine ; Pediatric brain tumors ; Pediatrics ; Presurgical functional magnetic resonance imaging ; Radiology ; Resting-state functional magnetic resonance imaging</subject><ispartof>Egyptian Journal of Radiology and Nuclear Medicine, 2022-02, Vol.53 (1), p.1-10, Article 35</ispartof><rights>The Author(s) 2022</rights><rights>COPYRIGHT 2022 Springer</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-9492d5a831bb2ffe5a165ad805367f3246204e5023dc84b547ff9ff639f6c4ac3</citedby><cites>FETCH-LOGICAL-c468t-9492d5a831bb2ffe5a165ad805367f3246204e5023dc84b547ff9ff639f6c4ac3</cites><orcidid>0000-0002-7836-5603</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Anwar, Ahmed</creatorcontrib><creatorcontrib>Radwan, Ahmed</creatorcontrib><creatorcontrib>Zaky, Iman</creatorcontrib><creatorcontrib>El Ayadi, Moatasem</creatorcontrib><creatorcontrib>Youssef, Ayda</creatorcontrib><title>Resting state fMRI brain mapping in pediatric supratentorial brain tumors</title><title>Egyptian Journal of Radiology and Nuclear Medicine</title><addtitle>Egypt J Radiol Nucl Med</addtitle><description>Background
Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with brain tumors. Resting state functional MRI (rs-fMRI) allows the localization of functional brain areas without the need for task performance, making it well-suited for the pediatric population. In this study the independent component analysis (ICA) rs-fMRI functional mapping results are reported in a group of 22 pediatric patients with supratentorial brain tumors. Additionally, the functional connectivity (FC) maps of the sensori-motor network (SMN) obtained using ICA and seed-based analysis (SBA) are compared.
Results
Different resting state networks (RSNs) were extracted using ICA with varying levels of sensitivity, notably, the SMN was identified in 100% of patients, followed by the Default mode network (DMN) (91%) and Language networks (80%). Additionally, FC maps of the SMN extracted by SBA were more extensive (mean volume = 25,288.36 mm
3
, standard deviation = 13,364.36 mm
3
) than those found on ICA (mean volume = 13,403.27 mm
3
, standard deviation = 9755.661 mm
3
). This was confirmed by statistical analysis using a Wilcoxon signed rank
t
test at
p
< 0.01.
Conclusions
Results clearly demonstrate the successful applicability of rs-fMRI for localizing different functional brain networks in the preoperative assessment of brain areas, and thus represent a further step in the integration of computational radiology research in a clinical setting.</description><subject>Brain</subject><subject>Brain tumors</subject><subject>Children</subject><subject>Health aspects</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nuclear Medicine</subject><subject>Pediatric brain tumors</subject><subject>Pediatrics</subject><subject>Presurgical functional magnetic resonance imaging</subject><subject>Radiology</subject><subject>Resting-state functional magnetic resonance imaging</subject><issn>2090-4762</issn><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>DOA</sourceid><recordid>eNp9kUtLxTAQhYsoKOofcFVwXc276VLExwVFEF2HyeuSy21TktyF_95oRRTEZJFh8p3DMKdpzjC6wFiKy8wo4rxDhHQI9Zh2dK85ImhAHesF2f9RHzanOW9QPQwhLNhRs3p2uYRp3eYCxbX-8XnV6gRhakeY54-PWs7OBigpmDbv5lS5qcQUYPtFlt0YUz5pDjxsszv9eo-b19ubl-v77uHpbnV99dAZJmTpBjYQy0FSrDXx3nHAgoOViFPRe0qYIIg5jgi1RjLNWe_94L2ggxeGgaHHzWrxtRE2ak5hhPSmIgT12YhprSCVYLZOMaO17THvNVCmhQQuiMPMakkGLm1fvc4XrzVUPEw-lgRmDNmoKzEQximTuFIXf1D1WjcGEyfnQ-3_EpBFYFLMOTn_PSZG6iMytUSmamTqMzJFq4guolzhae2S2sRdmuoq_1O9A1dBl0Q</recordid><startdate>20220207</startdate><enddate>20220207</enddate><creator>Anwar, Ahmed</creator><creator>Radwan, Ahmed</creator><creator>Zaky, Iman</creator><creator>El Ayadi, Moatasem</creator><creator>Youssef, Ayda</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7836-5603</orcidid></search><sort><creationdate>20220207</creationdate><title>Resting state fMRI brain mapping in pediatric supratentorial brain tumors</title><author>Anwar, Ahmed ; Radwan, Ahmed ; Zaky, Iman ; El Ayadi, Moatasem ; Youssef, Ayda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-9492d5a831bb2ffe5a165ad805367f3246204e5023dc84b547ff9ff639f6c4ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brain</topic><topic>Brain tumors</topic><topic>Children</topic><topic>Health aspects</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nuclear Medicine</topic><topic>Pediatric brain tumors</topic><topic>Pediatrics</topic><topic>Presurgical functional magnetic resonance imaging</topic><topic>Radiology</topic><topic>Resting-state functional magnetic resonance imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anwar, Ahmed</creatorcontrib><creatorcontrib>Radwan, Ahmed</creatorcontrib><creatorcontrib>Zaky, Iman</creatorcontrib><creatorcontrib>El Ayadi, Moatasem</creatorcontrib><creatorcontrib>Youssef, Ayda</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anwar, Ahmed</au><au>Radwan, Ahmed</au><au>Zaky, Iman</au><au>El Ayadi, Moatasem</au><au>Youssef, Ayda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resting state fMRI brain mapping in pediatric supratentorial brain tumors</atitle><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle><stitle>Egypt J Radiol Nucl Med</stitle><date>2022-02-07</date><risdate>2022</risdate><volume>53</volume><issue>1</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><artnum>35</artnum><issn>2090-4762</issn><issn>0378-603X</issn><eissn>2090-4762</eissn><abstract>Background
Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with brain tumors. Resting state functional MRI (rs-fMRI) allows the localization of functional brain areas without the need for task performance, making it well-suited for the pediatric population. In this study the independent component analysis (ICA) rs-fMRI functional mapping results are reported in a group of 22 pediatric patients with supratentorial brain tumors. Additionally, the functional connectivity (FC) maps of the sensori-motor network (SMN) obtained using ICA and seed-based analysis (SBA) are compared.
Results
Different resting state networks (RSNs) were extracted using ICA with varying levels of sensitivity, notably, the SMN was identified in 100% of patients, followed by the Default mode network (DMN) (91%) and Language networks (80%). Additionally, FC maps of the SMN extracted by SBA were more extensive (mean volume = 25,288.36 mm
3
, standard deviation = 13,364.36 mm
3
) than those found on ICA (mean volume = 13,403.27 mm
3
, standard deviation = 9755.661 mm
3
). This was confirmed by statistical analysis using a Wilcoxon signed rank
t
test at
p
< 0.01.
Conclusions
Results clearly demonstrate the successful applicability of rs-fMRI for localizing different functional brain networks in the preoperative assessment of brain areas, and thus represent a further step in the integration of computational radiology research in a clinical setting.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s43055-022-00713-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7836-5603</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Brain Brain tumors Children Health aspects Imaging Magnetic resonance imaging Medicine Medicine & Public Health Nuclear Medicine Pediatric brain tumors Pediatrics Presurgical functional magnetic resonance imaging Radiology Resting-state functional magnetic resonance imaging |
| title | Resting state fMRI brain mapping in pediatric supratentorial brain tumors |
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