Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term
Objective The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI. Methods 91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (...
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| Veröffentlicht in: | Journal of perinatology 2022-07, Vol.42 (7), p.880-884 |
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| container_title | Journal of perinatology |
| container_volume | 42 |
| creator | Tarocco, Anna Natile, Miria Sarajlija, Jasenka Aldrovandi, Anna Pinton, Paolo Ancora, Gina |
| description | Objective
The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI.
Methods
91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro.
Results
A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found.
Conclusions
aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services. |
| doi_str_mv | 10.1038/s41372-021-01295-0 |
| format | Article |
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The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI.
Methods
91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro.
Results
A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found.
Conclusions
aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services.</description><identifier>ISSN: 0743-8346</identifier><identifier>EISSN: 1476-5543</identifier><identifier>DOI: 10.1038/s41372-021-01295-0</identifier><identifier>PMID: 35031690</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>59/57 ; 692/699 ; 692/700/1720 ; Abnormalities ; Age ; Anesthesia ; Brain ; Cerebellum ; EEG ; Electrodes ; Electroencephalography ; Intensive care ; Magnetic resonance imaging ; Medical prognosis ; Medicine ; Medicine & Public Health ; Monitoring ; Neonates ; Newborn babies ; Pediatric Surgery ; Pediatrics ; Premature babies ; Substantia grisea ; Ultrasonic imaging</subject><ispartof>Journal of perinatology, 2022-07, Vol.42 (7), p.880-884</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Nature America, Inc.</rights><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-633d396ddd08eb62875456b5ac77d2c4cefa98ecaf934183328607e1e4325e5c3</cites><orcidid>0000-0003-0163-2651</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41372-021-01295-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41372-021-01295-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35031690$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tarocco, Anna</creatorcontrib><creatorcontrib>Natile, Miria</creatorcontrib><creatorcontrib>Sarajlija, Jasenka</creatorcontrib><creatorcontrib>Aldrovandi, Anna</creatorcontrib><creatorcontrib>Pinton, Paolo</creatorcontrib><creatorcontrib>Ancora, Gina</creatorcontrib><title>Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term</title><title>Journal of perinatology</title><addtitle>J Perinatol</addtitle><addtitle>J Perinatol</addtitle><description>Objective
The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI.
Methods
91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro.
Results
A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found.
Conclusions
aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services.</description><subject>59/57</subject><subject>692/699</subject><subject>692/700/1720</subject><subject>Abnormalities</subject><subject>Age</subject><subject>Anesthesia</subject><subject>Brain</subject><subject>Cerebellum</subject><subject>EEG</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Intensive care</subject><subject>Magnetic resonance imaging</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Monitoring</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Pediatric Surgery</subject><subject>Pediatrics</subject><subject>Premature babies</subject><subject>Substantia grisea</subject><subject>Ultrasonic imaging</subject><issn>0743-8346</issn><issn>1476-5543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1u1DAUhS0EotOBF2CBLLFh49b_dpbVaPojFVVCsDYe-86QksTBdlTx9iSdFiQWrCz7fudc-UPoHaNnjAp7XiQThhPKGaGMN4rQF2jFpNFEKSleohU1UhArpD5Bp6XcU7oMzWt0IhQVTDd0hb5d9GPX1ikCaYcKh-wrRLzdXuEMIeU4X3zFguMHgB8Fj6nUkIYAY23T4DvsD3CGNyln6PzyhB_a-h1_-nyzxCrk_g16tfddgbdP5xp9vdx-2VyT27urm83FLQmC60q0EFE0OsZILew0t0ZJpXfKB2MiDzLA3jcWgt83QjIrBLeaGmAgBVegglijj8feMaefE5Tq-rYE6Do_QJqK45pTao20bEY__IPepynPv1koqzhXeva7RvxIhZxKybB3Y257n385Rt3i3x39u9m_e_TvltD7p-pp10P8E3kWPgPiCJR5NBwg_939n9rfzgyOyg</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Tarocco, Anna</creator><creator>Natile, Miria</creator><creator>Sarajlija, Jasenka</creator><creator>Aldrovandi, Anna</creator><creator>Pinton, Paolo</creator><creator>Ancora, Gina</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7RV</scope><scope>7T5</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0163-2651</orcidid></search><sort><creationdate>20220701</creationdate><title>Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term</title><author>Tarocco, Anna ; Natile, Miria ; Sarajlija, Jasenka ; Aldrovandi, Anna ; Pinton, Paolo ; Ancora, Gina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-633d396ddd08eb62875456b5ac77d2c4cefa98ecaf934183328607e1e4325e5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>59/57</topic><topic>692/699</topic><topic>692/700/1720</topic><topic>Abnormalities</topic><topic>Age</topic><topic>Anesthesia</topic><topic>Brain</topic><topic>Cerebellum</topic><topic>EEG</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Intensive care</topic><topic>Magnetic resonance imaging</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Monitoring</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Pediatric Surgery</topic><topic>Pediatrics</topic><topic>Premature babies</topic><topic>Substantia grisea</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tarocco, Anna</creatorcontrib><creatorcontrib>Natile, Miria</creatorcontrib><creatorcontrib>Sarajlija, Jasenka</creatorcontrib><creatorcontrib>Aldrovandi, Anna</creatorcontrib><creatorcontrib>Pinton, Paolo</creatorcontrib><creatorcontrib>Ancora, Gina</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>MEDLINE - Academic</collection><jtitle>Journal of perinatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tarocco, Anna</au><au>Natile, Miria</au><au>Sarajlija, Jasenka</au><au>Aldrovandi, Anna</au><au>Pinton, Paolo</au><au>Ancora, Gina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term</atitle><jtitle>Journal of perinatology</jtitle><stitle>J Perinatol</stitle><addtitle>J Perinatol</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>42</volume><issue>7</issue><spage>880</spage><epage>884</epage><pages>880-884</pages><issn>0743-8346</issn><eissn>1476-5543</eissn><abstract>Objective
The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI.
Methods
91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro.
Results
A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found.
Conclusions
aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>35031690</pmid><doi>10.1038/s41372-021-01295-0</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-0163-2651</orcidid></addata></record> |
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| ispartof | Journal of perinatology, 2022-07, Vol.42 (7), p.880-884 |
| issn | 0743-8346 1476-5543 |
| language | eng |
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| source | SpringerLink Journals |
| subjects | 59/57 692/699 692/700/1720 Abnormalities Age Anesthesia Brain Cerebellum EEG Electrodes Electroencephalography Intensive care Magnetic resonance imaging Medical prognosis Medicine Medicine & Public Health Monitoring Neonates Newborn babies Pediatric Surgery Pediatrics Premature babies Substantia grisea Ultrasonic imaging |
| title | Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term |
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