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1. The Epidemiology of Spinal Neurosurgery in Nigeria: A Systematic Review and Patient-Level Analysis

Author

Malomo, Toluyemi A., Nischal, Shiva A., Trillo-Ordonez, Yesel, Oyemolade, Toyin A., Nwaribe, Evaristus E., Okere, Oghenekevwe E., Deng, Di D., Abu-Bonsrah, Nancy, Oboh, Ena C., Asemota, Isaac, Still, Megan E.H., Waguia-Kouam, Romaric, Seas, Andreas, Oboh, Ehita N., Ogundeji, Olaniyi D., Rahman, Raphia, Reddy, Padmavathi, Ugorji, Chiazam, Badejo, Oluwakemi A., von Isenburg, Megan, Haglund, Michael M., Fuller, Anthony T., Adeleye, Amos O., and Ukachukwu, Alvan-Emeka K.

Published
2024
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2. The Epidemiological Burden of Neurovascular Pathology in Nigeria: A Systematic Review and Pooled Patient-Level Analysis

Author

Nischal, Shiva A., Badejo, Oluwakemi A., Trillo-Ordonez, Yesel, Oyemolade, Toyin A., Seas, Andreas, Malomo, Toluyemi A., Nwaribe, Evaristus E., Abu-Bonsrah, Nancy, Deng, Di D., Okere, Oghenekevwe E., Ogundeji, Olaniyi D., Oboh, Ena, Still, Megan E.H., Waguia-Kouam, Romaric, Asemota, Isaac, Oboh, Ehita N., Reddy, Padmavathi, Ugorji, Chiazam, Rahman, Raphia, von Isenburg, Megan, Fuller, Anthony T., Haglund, Michael M., Adeleye, Amos O., and Ukachukwu, Alvan-Emeka K.

Published
2024
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3. Epidemiology and Management Trends of Neuro-Oncology in Nigeria: A Systematic Review and Pooled Analysis

Author

Ukachukwu, Alvan-Emeka K., Seas, Andreas, Oboh, Ena C., Paradie, Emma, Oyemolade, Toyin A., Nwaribe, Evaristus E., Nischal, Shiva A., Hughes, Jasmine G., Ogundeji, Olaniyi D., Badejo, Oluwakemi A., Malomo, Toluyemi A., Okere, Oghenekevwe E., Abu-Bonsrah, Nancy, Still, Megan E.H., Waguia-Kouam, Romaric, Trillo-Ordonez, Yesel, Asemota, Isaac, Oboh, Ehita N., Rahman, Raphia, Reddy, Padmavathi, Ugorji, Chiazam, von Isenburg, Megan, Fuller, Anthony T., Haglund, Michael M., and Adeleye, Amos O.

Published
2024
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4. Epidemiological Burden of Neurotrauma in Nigeria: A Systematic Review and Pooled Analysis of 45,763 Patients

Author

Ukachukwu, Alvan-Emeka K., Nischal, Shiva A., Trillo-Ordonez, Yesel, Nwaribe, Evaristus E., Abu-Bonsrah, Nancy, Malomo, Toluyemi A., Oyemolade, Toyin A., Badejo, Oluwakemi A., Deng, Di D., Still, Megan E.H., Oboh, Ena C., Okere, Oghenekevwe E., Asemota, Isaac, Oboh, Ehita N., Ogundeji, Olaniyi D., Ugorji, Chiazam, Rahman, Raphia, Reddy, Padmavathi, Seas, Andreas, Waguia-Kouam, Romaric, von Isenburg, Megan, Fuller, Anthony T., Haglund, Michael M., and Adeleye, Amos O.

Published
2024
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5. The Scope, Trends, and Challenges of Neurosurgical Research in Nigeria: A Bibliometric Review

Author

Ukachukwu, Alvan-Emeka K., Ogundeji, Olaniyi D., Abu-Bonsrah, Nancy, Still, Megan E.H., Trillo-Ordonez, Yesel, Oboh, Ehita N., Nischal, Shiva A., Deng, Di D., Ugorji, Chiazam, Seas, Andreas, Badejo, Oluwakemi A., Malomo, Toluyemi A., Nwaribe, Evaristus E., Oyemolade, Toyin A., Okere, Oghenekevwe E., Oboh, Ena, Waguia-Kouam, Romaric, Rahman, Raphia, Asemota, Isaac, Reddy, Ramya, von Isenburg, Megan, Haglund, Michael M., Fuller, Anthony T., and Adeleye, Amos O.

Published
2024
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6. The Role of International Collaborations in Sustainable Neurosurgical Development in Nigeria

Author

Adebayo, Bamidele O., Ajekwu, Temitope, Akpakwu, Ojobo J., Anele, Christopher O., Aniaku, Ikechukwu D., Ayogu, Obinna M., Babagana, Mohammed, Bakwa, Nenkimun D., Bankole, Olufemi B., Bot, Gyang M., Dalhat, Nasiru K., Ige-Orhionkpaibima, Fred S., Jolayemi, Edward, Lemchi, Stanley U., Mbadugha, Tobechi, Mbanugo, Tochukwu H., Mohammed, Abubakar M., Obande, Joseph O., Obeta, Emmanuel C., Odebode, Timothy O., Ogunleye, Olabisi O., Olarewaju, Oluseun A., Onobun, Daniel, Opara, Oluwamayowa, Oremakinde, Adetunji, Oyeleye, Oluwole O., Ozoani, Groovy, Rabiu, Taopheeq B., Sale, Danjuma, Shilong, Danaan J., Sunday, Emmanuel G., Tiamiyu, Liadi O., Timothy, Samaila, Onyia, Chiazor U., Morgan, Eghosa, Oyemolade, Toyin A., Ekweogwu, Ofodile C., Orhorhoro, Omuvie I., Ahmad, Misbahu H., Ayodele, Olabamidele A., Usman, Babagana, Badejo, Oluwakemi A., Dawang, Yusuf, Malomo, Toluyemi A., Nwaribe, Evaristus E., Okere, Oghenekevwe E., Abu-Bonsrah, Nancy, Petitt, Zoey, Njeru, Paula N., Oboh, Ena C., Otun, Ayodamola, Deng, Di D., Ogundeji, Olaniyi D., Still, Megan E.H., Nischal, Shiva A., Seas, Andreas, Asemota, Isaac, Oboh, Ehita N., Ugorji, Chiazam, Reddy, Ramya, Rahman, Raphia, Trillo-Ordonez, Yesel, Waguia-Kouam, Romaric, von Isenburg, Megan, Chikani, Mark C., Adeleye, Amos O., Adeolu, Augustine A., Haglund, Michael M., Ukachukwu, Alvan-Emeka K., and Fuller, Anthony T.

Published
2024
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7. Profile of Pediatric Neurosurgery in Nigeria from 1962 to 2021: A Systematic Review

Author

Oyemolade, Toyin A., Mukumbya, Benjamin, Oboh, Ehita N., Nischal, Shiva A., Ozobu, Ifeanyichukwu, Palla, Adhith, Ogundeji, Olaniyi D., Trillo-Ordonez, Yesel, Nwaribe, Evaristus E., Badejo, Oluwakemi A., Okere, Oghenekevwe E., Malomo, Toluyemi A., Abu-Bonsrah, Nancy, Oboh, Ena C., Seas, Andreas, Still, Megan E.H., Asemota, Isaac, Ugorji, Chiazam, Reddy, Ramya, Rahman, Raphia, Waguia-Kouam, Romaric, Deng, Di D., von Isenburg, Megan, Haglund, Michael M., Fuller, Anthony T., Adeleye, Amos O., and Ukachukwu, Alvan-Emeka K.

Published
2024
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8. The impact of COVID-19 pandemic on global neurosurgery collaborations

Author

Adeleye, Amos Olufemi, Ahmad, Misbahu, Aklilu, Abenezer Tirsit, Blount, Jeffrey, Dewan, Michael, Domeisen, Linda, Endalle, Geneviève, Esene, Ignatius, Faulkner, Kristina, Hong, David, Iaccarino, Corrado, Ikwuegbuenyi, Chibuikem, Johnston, James, Kitya, David, Laeke, Tsegazeab, Mahmud, Muhammad Raji, Muhumuza, Christine, Najjuma, Josephine, Nanda, Anil, Negida, Ahmed, Nketiah-Boakye, Frank, Paiva, Wellingson, Park, Kee, Qureshi, Mahmood, Rock, Jack, Rocque, Brandon, Shabani, Hamisi, Tariq, Muhammad, Tisell, Magnus, Totimeh, Teddy, Zolo-Ossou, André Yvan, Ukachukwu, Alvan-Emeka K., Abu-Bonsrah, Nancy, Seas, Andreas, Petitt, Zoey, Waguia-Kouam, Romaric, Ramos, Samantha, Edwards, Alyssa, Deng, Di D., Haglund, Michael M., and Fuller, Anthony T.

Published
2024
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9. Magnetic resonance imaging–guided focused ultrasound thalamotomy for essential tremor in a patient with von Willebrand disease: perioperative optimization for patients with coagulopathies. Illustrative case

Author

Folz, Caroline, primary, Seas, Andreas, additional, Chinyengetere, Fadzai, additional, Beasley, Christopher, additional, Harris, Adam, additional, Oyedeji, Charity, additional, Ortel, Thomas L, additional, Shah, Bhavya R, additional, Lad, Shivanand, additional, and Harward, Stephen C, additional

Published
2024
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10. The Role of International Collaborations in Sustainable Neurosurgical Development in Nigeria

Author

Onyia, Chiazor U., primary, Morgan, Eghosa, additional, Oyemolade, Toyin A., additional, Ekweogwu, Ofodile C., additional, Orhorhoro, Omuvie I., additional, Ahmad, Misbahu H., additional, Ayodele, Olabamidele A., additional, Usman, Babagana, additional, Badejo, Oluwakemi A., additional, Dawang, Yusuf, additional, Malomo, Toluyemi A., additional, Nwaribe, Evaristus E., additional, Okere, Oghenekevwe E., additional, Abu-Bonsrah, Nancy, additional, Petitt, Zoey, additional, Njeru, Paula N., additional, Oboh, Ena C., additional, Otun, Ayodamola, additional, Deng, Di D., additional, Ogundeji, Olaniyi D., additional, Still, Megan E.H., additional, Nischal, Shiva A., additional, Seas, Andreas, additional, Asemota, Isaac, additional, Oboh, Ehita N., additional, Ugorji, Chiazam, additional, Reddy, Ramya, additional, Rahman, Raphia, additional, Trillo-Ordonez, Yesel, additional, Waguia-Kouam, Romaric, additional, von Isenburg, Megan, additional, Chikani, Mark C., additional, Adeleye, Amos O., additional, Adeolu, Augustine A., additional, Haglund, Michael M., additional, Ukachukwu, Alvan-Emeka K., additional, Fuller, Anthony T., additional, Adebayo, Bamidele O., additional, Ajekwu, Temitope, additional, Akpakwu, Ojobo J., additional, Anele, Christopher O., additional, Aniaku, Ikechukwu D., additional, Ayogu, Obinna M., additional, Babagana, Mohammed, additional, Bakwa, Nenkimun D., additional, Bankole, Olufemi B., additional, Bot, Gyang M., additional, Dalhat, Nasiru K., additional, Ige-Orhionkpaibima, Fred S., additional, Jolayemi, Edward, additional, Lemchi, Stanley U., additional, Mbadugha, Tobechi, additional, Mbanugo, Tochukwu H., additional, Mohammed, Abubakar M., additional, Obande, Joseph O., additional, Obeta, Emmanuel C., additional, Odebode, Timothy O., additional, Ogunleye, Olabisi O., additional, Olarewaju, Oluseun A., additional, Onobun, Daniel, additional, Opara, Oluwamayowa, additional, Oremakinde, Adetunji, additional, Oyeleye, Oluwole O., additional, Ozoani, Groovy, additional, Rabiu, Taopheeq B., additional, Sale, Danjuma, additional, Shilong, Danaan J., additional, Sunday, Emmanuel G., additional, Tiamiyu, Liadi O., additional, and Timothy, Samaila, additional

Published
2024
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11. 273 A Direct Domparative Analysis of Pediatric Traumatic Brain Injury Presentation and Outcomes in the United States and Uganda

Author

Seas, Andreas, primary, Yoon, Angela, additional, Adil, Syed M, additional, Satyadev, Nihal, additional, Warman, Pranav, additional, Najjuma, Josephine, additional, Punchak, Maria, additional, Sexton, Daniel, additional, Dunn, Timothy, additional, Kolls, Brad, additional, Haglund, Michael M., additional, Fuller, Anthony, additional, and Kitya, David, additional

Published
2024
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12. 381 Glioma Three-Dimensional Shape Predicts Underlying Genetic Mutations

Author

Warman, Pranav, primary, Adil, Syed M., additional, Seas, Andreas, additional, Sexton, Daniel, additional, Calabrese, Evan, additional, Lad, Nandan P., additional, Kolls, Brad, additional, Fuller, Anthony, additional, Dunn, Timothy, additional, Friedman, Allan H., additional, Hasan, David M., additional, Komisarow, Jordan M., additional, Cook, Steven H., additional, Codd, Patrick James, additional, Zomorodi, Ali R., additional, Fecci, Peter Edward, additional, Patel, Anoop, additional, Grant, Gerald A., additional, and Tralie, Christopher, additional

Published
2024
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16. Subcallosal cingulate deep brain stimulation evokes two distinct cortical responses via differential white matter activation.

Author

Seas, Andreas, Noor, M. Sohail, Ki Sueng Choi, Veerakumar, Ashan, Obatusin, Mosadoluwa, Dahill-Fuchel, Jacob, Tiruvadi, Vineet, Elisa Xu, Riva-Posse, Patricio, Rozell, Christopher J., Mayberg, Helen S., McIntyre, Cameron C., Waters, Allison C., and Howell, Bryan

Subjects
*DEEP brain stimulation, *EVOKED potentials (Electrophysiology), *WHITE matter (Nerve tissue), *ELECTROCONVULSIVE therapy, *ELECTROENCEPHALOGRAPHY
Abstract

Subcallosal cingulate (SCC) deep brain stimulation (DBS) is an emerging therapy for refractory depression. Good clinical outcomes are associated with the activation of white matter adjacent to the SCC. This activation produces a signature cortical evoked potential (EP), but it is unclear which of the many pathways in the vicinity of SCC is responsible for driving this response. Individualized biophysical models were built to achieve selective engagement of two target bundles: either the forceps minor (FM) or cingulum bundle (CB). Unilateral 2 Hz stimulation was performed in seven patients with treatment-resistant depression who responded to SCC DBS, and EPs were recorded using 256-sensor scalp electroencephalography. Two distinct EPs were observed: a 120 ms symmetric response spanning both hemispheres and a 60 ms asymmetrical EP. Activation of FM correlated with the symmetrical EPs, while activation of CB was correlated with the asymmetrical EPs. These results support prior model predictions that these two pathways are predominantly activated by clinical SCC DBS and provide first evidence of a link between cortical EPs and selective fiber bundle activation. [ABSTRACT FROM AUTHOR]

Published
2024
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17. 3D MRI-Based Topological Analysis with Machine Learning to Predict Skull Base Meningioma Pathologic Grade.

Author

Adil, Syed M., Warman, Pranav, Seas, Andreas, Zachem, Tanner J., Abdelgadir, Jihad, Sexton, Daniel, Wissel, Benjamin, Komisarow, Jordan, Cook, Steven, Hachem, Ralph A., Fecci, Peter, Lad, Shivanand, Zomorodi, Ali, Hasan, David, Codd, Patrick J., Tralie, Christopher J., Dunn, Timothy, Friedman, Allan, Grant, Gerald, and Calabrese, Evan

Subjects
MACHINE learning, MENINGIOMA, SKULL base
Abstract

This article, published in the Journal of Neurological Surgery, explores the use of machine learning and 3D MRI-based analysis to predict the pathologic grade of skull base meningiomas. The study analyzed preoperative MRIs from 38 patients and used a custom machine learning pipeline to predict the grade of the tumor. The results showed that the machine learning model had an area under the receiver operating characteristic curve (AUROC) of 0.75, indicating its potential for predicting the pathologic grade. However, further research with a larger sample size is needed to validate these findings and improve prognostication for patients with skull base meningiomas. [Extracted from the article]

Published
2024
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18. Pathologic Grading of Meningioma Tissue Via Machine Learning and Noncontact Fluorescence Spectroscopy.

Author

Adil, Syed M., Zachem, Tanner J., Sperber, Jacob E, Seas, Andreas, Warman, Pranav, Wissel, Benjamin, Abdelgadir, Jihad, Sexton, Daniel, Komisarow, Jordan, Hachem, Ralph A, Lad, Shivanand, Cook, Steven, Fecci, Peter, Zomorodi, Ali, Hasan, David, Patel, Anoop, Dunn, Timothy, Friedman, Allan, Grant, Gerald, and Goodwin, Rory C.

Subjects
MACHINE learning, MENINGIOMA, LASER-induced fluorescence
Abstract

This article discusses the development of a new technology called "TumorID" that uses machine learning and noncontact fluorescence spectroscopy to analyze meningioma tissue in real-time during surgery. The aim of this technology is to differentiate between Grade 1 and Grade 2 meningiomas, which have different prognostic and management implications. The study found that the multi-layer perceptron and logistic regression models performed the best in predicting the grade of meningiomas, with high accuracy. However, further research is needed to validate these findings on larger sample sizes. The authors hope that this technology will eventually improve the efficiency and accuracy of prognostication for patients with meningiomas. [Extracted from the article]

Published
2024
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20. Shifting Trends in the Epidemiology of Cervical Spine Injuries: An Analysis of 11,822 Patients from the National Electronic Injury Surveillance System over Two Decades.

Author

Futch BG, Seas A, Ononogbu-Uche F, Khedr S, Kreinbrook J, Shaffrey CI, Williamson T, Guest JD, Fehlings MG, Abd-El-Barr MM, and Foster NA

Abstract

Cervical spine injuries (CSIs) are heterogeneous in nature and often lead to long-term disability and morbidity. However, there are few recent and comprehensive epidemiological studies on CSI. The objective of this study was to characterize recent trends in CSI patient demographics, incidence, etiology, and injury level. The National Electronic Injury Surveillance System was used to extract data on CSIs from 2002 to 2022. Weighted national estimates of CSI incidence were computed using yearly population estimates interpolated from U.S. census data. Data analysis involved extracting additional information from patient narratives to categorize injury etiology (i.e., fall) and identify CSI level. K-means clustering was performed on cervical levels to define upper versus lower cervical injuries. Appropriate summary statistics including mean with 95% confidence intervals and frequency were reported for age, sex, race, ethnicity, etiology, and disposition. Age between groups was compared using an independent weighted Z -test. All categorical variables were compared using Pearson chi-squared tests with Bonferroni correction for multiple comparisons. Ordinary least squares linear regression was used to quantify the rate of change of various metrics with time. A total of 11,822 patient records met the study criteria. The mean age of patients was 62.4 ± 22.7 years, 52.4% of whom were male and 61.4% of whom were White, 7.4% were Black, 27.8% were not specified, and the remaining comprised a variety of ethnicities. The most common mechanism of CSI was a fall (67.3%). There was a significant increase in the incidence of cervical injuries between 2003 and 2022 ( p < 0.001). Unbiased K-means clustering defined upper cervical injuries as C1-C3 and lower cervical injuries as C4-C7. The mean age of patients with upper CSIs was 72.3 ± 19.6, significantly greater than the age of those with lower CSIs (57.1 ± 23.1, p < 0.001). Compared with lower CSI, White patients were more likely to have an upper CSI (67.4% vs. 73.7%; p < 0.001). While Black/African American (7.5% vs. 3.8%) and Hispanic (2.5% vs. 1.0%) patients were more likely to have a lower CSI ( p < 0.001). Our study identified a significant increase in the incidence of CSIs over time, which was associated with increasing patient age. Our study detected a pragmatic demarcation of classifying upper injuries as C1-C3 and lower cervical injuries as C4-C7. Upper injuries were seen more often in older, White females who were treated and admitted, and lower injuries were seen more often in young, Black male patients who were released without admission.

Published
2024
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