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4. Proceedings of the 13th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical

Author

Balashova, Ekaterina, Beaulieu, Olivia, Benhmida, Imen, Birca, Ala, Boylan, Geraldine, Carkeek, Katherine, Chowdhury, Rasheda, Cilio, Maria Roberta, Consoli, Anna, Cote Corriveau, Gabriel, Cuddyer, Deborah, Degtyarev, Dmitriy, Dehaes, Mathieu, Dempsey, Eugene, Dereymaeker, Anneleen, Desnous, Beatrice, El-Dib, Mohamed, Elsayed, Elhaytham, Feldman, Henry A, Finn, Daragh, Franceschini, Maria Angela, Freeman, Shoshana, Gagnon, Marie-Michele, Gagnon, Melanie, Garvey, Aisling, Ghosh, Anirban, Golubtsova, Yulia, Grant, P Ellen, Hay, Susanne C, Hermans, Tim, Herzberg, Emily, Hsiao, Chuan-Heng, Iennaco, Maria, Inder, Terrie, Ionov, Oleg, Kaya, Kutlu, Keister, Faith, Kemigisha, Miriah, Kirtbaya, Anna, Lee, Sarah, Leijser, Lara, Liao, Steve, Lin, Pei-Yi, Lippman, Rachel, Livingstone, Vicki, Luu, Thuy Mai, Magombe, Joshua, Mahdi, Zamzam, Marandyuk, Bohdana, Martin, Alyssa, Mathieson, Sean, Mbabazi, Edith, Mohammad, Khorshid, Moore, Michael, Mulondo, Ronald, Munster, Chelsea, Murray, Deirdre, Nalule, Esther, Natukwatsa, Davis, Naulaers, Gunnar, Noroozi, Mona, Nsubuga, Brian, O'Toole, John, Pavel, Andreea, Peterson, Mallory, Pinchefsky, Elana, Playter, Katharine, Queally, Jennifer, Rajaram, Ajay, Ryndin, Andrey, Schiff, Steven, Seruwu, Marvin, Sharafutdinova, Diiana, Sheldon, Yvonne, Simard, Marie-Noelle, Sims, Jessica, Steele, Tina, Stritzke, Amelie, Sunwoo, John, Sutin, Jason, Tatz, Julia, Vadset, Taylor, Vesoulis, Zachary, Vyas, Rutvi, Wabukoma, Moses, Walsh, Brian, Wandukwa, Joshua, Warf, Benjamin, Whitehead, Halana, Woglom, Michael, Yen, Fan-Yu, Zampolli, Lucca, Zavriyev, Alexander I, Zein, Hussein, Zimmermann, Bernhard, and Zubkov, Victor

Subjects
Infant, Newborn, Brain, Humans, Head, Magnetic Resonance Imaging
Abstract

ispartof: J Neonatal Perinatal Med vol:15 issue:2 pages:453-465 ispartof: location:Netherlands status: published

Published
2022

5. Seizure Severity and Treatment Response in Newborn Infants with Seizures Attributed to Intracranial Hemorrhage.

Author

UCL - SSS/IREC - Institut de recherche expérimentale et clinique, UCL - (SLuc) Centre du cancer, UCL - (SLuc) Service de chirurgie et transplantation abdominale, Herzberg, Emily M, Machie, Michelle, Glass, Hannah C, Shellhaas, Renée A, Wusthoff, Courtney J, Chang, Taeun, Abend, Nicholas S, Chu, Catherine J, Cilio, M Roberta, Bonifacio, Sonia L, Massey, Shavonne L, McCulloch, Charles E, Soul, Janet S, Neonatal Seizure Registry study group, UCL - SSS/IREC - Institut de recherche expérimentale et clinique, UCL - (SLuc) Centre du cancer, UCL - (SLuc) Service de chirurgie et transplantation abdominale, Herzberg, Emily M, Machie, Michelle, Glass, Hannah C, Shellhaas, Renée A, Wusthoff, Courtney J, Chang, Taeun, Abend, Nicholas S, Chu, Catherine J, Cilio, M Roberta, Bonifacio, Sonia L, Massey, Shavonne L, McCulloch, Charles E, Soul, Janet S, and Neonatal Seizure Registry study group

Abstract

We sought to characterize intracranial hemorrhage (ICH) as a seizure etiology in infants born term and preterm. For infants born term, we sought to compare seizure severity and treatment response for multisite vs single-site ICH and hypoxic-ischemic encephalopathy (HIE) with vs without ICH. We studied 112 newborn infants with seizures attributed to ICH and 201 infants born at term with seizures attributed to HIE, using a cohort of consecutive infants with clinically diagnosed and/or electrographic seizures prospectively enrolled in the multicenter Neonatal Seizure Registry. We compared seizure severity and treatment response among infants with complicated ICH, defined as multisite vs single-site ICH and HIE with vs without ICH. ICH was a more common seizure etiology in infants born preterm vs term (27% vs 10%, P < .001). Most infants had subclinical seizures (74%) and an incomplete response to initial antiseizure medication (ASM) (68%). In infants born term, multisite ICH was associated with more subclinical seizures than single-site ICH (93% vs 66%, P = .05) and an incomplete response to the initial ASM (100% vs 66%, P = .02). Status epilepticus was more common in HIE with ICH vs HIE alone (38% vs 17%, P = .05). Seizure severity was greater and treatment response was lower among infants born term with complicated ICH. These data support the use of continuous video electroencephalogram monitoring to accurately detect seizures and a multistep treatment plan that considers early use of multiple ASMs, particularly with parenchymal and high-grade intraventricular hemorrhage and complicated ICH.

Published
2022

6. Proceedings of the 13th International Newborn Brain Conference: Neonatal Neurocritical Care, Seizures, and Continuous EEG monitoring

Author

MS Neonatologie, Abend, Nicholas, Adams, Eleri, Al Balushi, Asim, Alburaki, Wissam, Appendino, Juan, Barbosa, Vargas Stephanie, Birca, Ala, Bonifacio, Sonia, Branagan, Aoife, Chang, Taeun, Chowdhury, Rasheda, Christou, Helen, Chu, Catherine, Cilio, M Roberta, Comani, Silvia, Corsi-Cabrera, María, Croce, Pierpaolo, Cubero-Rego, Lourdes, Dawoud, Fady, de Vries, Linda, Dehaes, Mathieu, Devane, Declan, Duncan, Aubrey, El Ters, Nathalie, El-Dib, Mohamed, Elshibiny, Hoda, Esser, Michael, Fairchild, Karen, Finucane, Elaine, Franceschini, Maria Angela, Gallagher, Anne, Ghosh, Anirban, Glass, Hannah, Venkata, Sujith Kumar Reddy Gurram, Baillet, Thalía Harmony, Herzberg, Emily, Hildrey, Emily, Hurley, Tim, Inder, Terrie, Jacobs, Elke, Jefferies, Kimberley, Jermendy, Agnes, Khazaei, Mohammad, Kilmartin, Keira, King, Graham, Lauronen, Leena, Lee, Sarah, Leijser, Lara, Lind, Janice, Llaguno, Nathalie Sales, Machie, Michelle, Magalhães, Maurício, Mahdi, Zamzam, Maluomi, Julie, Marandyuk, Bohdana, Massey, Shavonne, McCulloch, Charles, Metsäranta, Marjo, Mikkonen, Kirsi, Mohammad, Khorshid, Molloy, Eleanor, Momin, Sarfaraz, Munster, Chelsea, Murthy, Prashanth, Netto, Alexandre, Nevalainen, Päivi, Nguyen, Jennifer, Nieves, Maria, Nyman, Jenna, Oliver, Norma, Peeters, Cacha, Pietrobom, Rafaela Fabri Rodrigues, Pijpers, Judith, Pinchefksy, Elana, Ping, Yee Billie, Quirke, Fiona, Raeisi, Khadijeh, Ricardo-Garcell, Josefina, Robinson, Jill, Rodrigues, Daniela Pereira, Rosati, Justin, Scott, James, Scringer-Wilkes, Maxine, Shellhaas, Renée, Smit, Liesbeth, Soul, Janet, Srivastava, Ankur, Steggerda, Sylke, Sunwoo, John, Szakmar, Eniko, Tamburro, Gabriella, Thomas, Sumesh, Toiviainen-Salo, Sanna, Toma, Adrian Ioan, Vanhatalo, Sampsa, Variane, Gabriel Fernando Todeschi, Vein, Alla, Vesoulis, Zachary, Vilan, Ana, Volpe, Joseph, Weeke, Lauren, Wintermark, Pia, Wusthoff, Courtney, Zappasodi, Filippo, Zein, Hussein, Zempel, John, MS Neonatologie, Abend, Nicholas, Adams, Eleri, Al Balushi, Asim, Alburaki, Wissam, Appendino, Juan, Barbosa, Vargas Stephanie, Birca, Ala, Bonifacio, Sonia, Branagan, Aoife, Chang, Taeun, Chowdhury, Rasheda, Christou, Helen, Chu, Catherine, Cilio, M Roberta, Comani, Silvia, Corsi-Cabrera, María, Croce, Pierpaolo, Cubero-Rego, Lourdes, Dawoud, Fady, de Vries, Linda, Dehaes, Mathieu, Devane, Declan, Duncan, Aubrey, El Ters, Nathalie, El-Dib, Mohamed, Elshibiny, Hoda, Esser, Michael, Fairchild, Karen, Finucane, Elaine, Franceschini, Maria Angela, Gallagher, Anne, Ghosh, Anirban, Glass, Hannah, Venkata, Sujith Kumar Reddy Gurram, Baillet, Thalía Harmony, Herzberg, Emily, Hildrey, Emily, Hurley, Tim, Inder, Terrie, Jacobs, Elke, Jefferies, Kimberley, Jermendy, Agnes, Khazaei, Mohammad, Kilmartin, Keira, King, Graham, Lauronen, Leena, Lee, Sarah, Leijser, Lara, Lind, Janice, Llaguno, Nathalie Sales, Machie, Michelle, Magalhães, Maurício, Mahdi, Zamzam, Maluomi, Julie, Marandyuk, Bohdana, Massey, Shavonne, McCulloch, Charles, Metsäranta, Marjo, Mikkonen, Kirsi, Mohammad, Khorshid, Molloy, Eleanor, Momin, Sarfaraz, Munster, Chelsea, Murthy, Prashanth, Netto, Alexandre, Nevalainen, Päivi, Nguyen, Jennifer, Nieves, Maria, Nyman, Jenna, Oliver, Norma, Peeters, Cacha, Pietrobom, Rafaela Fabri Rodrigues, Pijpers, Judith, Pinchefksy, Elana, Ping, Yee Billie, Quirke, Fiona, Raeisi, Khadijeh, Ricardo-Garcell, Josefina, Robinson, Jill, Rodrigues, Daniela Pereira, Rosati, Justin, Scott, James, Scringer-Wilkes, Maxine, Shellhaas, Renée, Smit, Liesbeth, Soul, Janet, Srivastava, Ankur, Steggerda, Sylke, Sunwoo, John, Szakmar, Eniko, Tamburro, Gabriella, Thomas, Sumesh, Toiviainen-Salo, Sanna, Toma, Adrian Ioan, Vanhatalo, Sampsa, Variane, Gabriel Fernando Todeschi, Vein, Alla, Vesoulis, Zachary, Vilan, Ana, Volpe, Joseph, Weeke, Lauren, Wintermark, Pia, Wusthoff, Courtney, Zappasodi, Filippo, Zein, Hussein, and Zempel, John

Published
2022

8. Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

Author

Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Weiss, Rebecca J, Bates, Sara V, Song, Ya’nan, Zhang, Yue, Herzberg, Emily M, Chen, Yih-Chieh, Gong, Maryann M., Chien, Isabel, Zhang, Lily, Murphy, Shawn N, Gollub, Randy L, Grant, P. E, Ou, Yangming, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Weiss, Rebecca J, Bates, Sara V, Song, Ya’nan, Zhang, Yue, Herzberg, Emily M, Chen, Yih-Chieh, Gong, Maryann M., Chien, Isabel, Zhang, Lily, Murphy, Shawn N, Gollub, Randy L, Grant, P. E, and Ou, Yangming

Abstract

BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical records of neonatal hypoxic ischemic encephalopathy (HIE), from which clinically-relevant analytic algorithms can be developed for MRI-based HIE lesion detection and outcome prediction. METHODS: This retrospective study will use clinical registries and big data informatics tools to build a multi-site dataset that contains structural and diffusion MRI, clinical information including hospital course, short-term outcomes (during infancy), and long-term outcomes (~ 2 years of age) for at least 300 patients from multiple hospitals. DISCUSSION: Within machine learning frameworks, we will test whether the quantified deviation from our recently-developed normative brain atlases can detect abnormal regions and predict outcomes for individual patients as accurately as, or even more accurately, than human experts.

Published
2020

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