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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]

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]

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]

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.

Objective: Traumatic brain injury (TBI) carries a major global burden of disease; however, it is well established that patients in low- and middle-income countries, such as those in Africa, have higher mortality rates. Pediatric TBI, specifically, is a documented cause for concern as injuries to the developing brain have been shown to lead to cognitive, psychosocial, and motor problems in adulthood. The purpose of this study was to investigate the reported demographics, causes, management, and outcomes of pediatric TBI in Africa., Methods: A literature search was conducted using PubMed, Global Index Medicus, Embase, Scopus, Google Scholar, African Journals Online, and Web of Science. Various combinations of "traumatic brain injury," "head injury," "p(a)ediatric," "Africa," and country names were used. Relevant primary data published in the English language were included and subjected to a risk of bias analysis. Variables included age, sex, TBI severity, TBI cause, imaging findings, treatment, complications, and outcome., Results: After screening, 45 articles comprising 11,635 patients were included. The mean patient age was 6.48 ± 2.13 years, and 66.3% of patients were male. Of patients with reported data, mild, moderate, and severe TBIs were reported in 57.6%, 14.5%, and 27.9% of patients, respectively. Road traffic accidents were the most reported cause of pediatric TBI (50.53%) followed by falls (25.18%). Skull fractures and intracerebral contusions were the most reported imaging findings (28.32% and 16.77%, respectively). The most reported symptoms included loss of consciousness (24.4%) and motor deficits (17.1%). Surgical management was reported in 28.66% of patients, with craniotomy being the most commonly reported procedure (15.04%). Good recovery (Glasgow Outcome Scale score 5, Glasgow Outcome Scale-Extended score 7-8) was reported in 47.17% of patients. Examination of the period post-2015 demonstrated increased spread in the literature regarding pediatric TBI in Africa., Conclusions: This study provides a comprehensive overview of the literature regarding pediatric TBI in Africa and how it has evolved alongside global neurosurgical efforts. Although there has been increased involvement from various African countries in the neurosurgical literature, there remains a relative paucity of data on this subject. Standardized reporting protocols for patient care may aid in future studies seeking to synthesize data. Finally, further studies should seek to correlate the trends seen in this study, with primary epidemiological data to gain deeper insight into the disease burden of pediatric TBI in Africa.

Objective: Africa contributes significantly to the global neurosurgical disease burden but has only 1% of the neurosurgery workforce. This study appraises the neurosurgical workforce and training capacity in Africa and projects the workforce capacity by 2030., Methods: The authors conducted a systematic review of the online literature on neurosurgical workforce and training in Africa obtained from three journal databases (PubMed, Embase, and African Index Medicus), as well as from a gray literature search, between September and December 2020. Included literature passed a two-level screening conducted using a systematic review software by a team of two independent reviewers. Data were extracted from selected articles and documented and analyzed on spreadsheets., Results: One hundred and fifty-nine eligible articles were analyzed: 1974 neurosurgeons serve 1.3 billion people in Africa (density 0.15 per 100,000 persons, ratio 1:678,740), with uneven distribution between the regions. North Africa has 64.39% of the neurosurgical workforce (n = 1271), followed by Southern Africa (12.66%, n = 250), West Africa (11.60%, n = 229), East Africa (8.26%, n = 163), and Central Africa (3.09%, n = 61). At an exponential growth rate of 7.03% (95% CI 5.83%-8.23%) per annum, Africa will have 3418 (95% CI 1811-6080) neurosurgeons by 2030, with a deficit of 5191 neurosurgeons, based on population workforce targets. In terms of training, there are 106 neurosurgery training institutions in 26 African countries. North Africa has 52 training centers (49.05%), West Africa 23 (21.70%), East Africa 15 (14.15%), Southern Africa 14 (13.21%), and Central Africa 2 (1.89%). The major regional training programs are those of the West African College of Surgeons (24 sites in 7 countries) and the College of Surgeons of East, Central, and Southern Africa (17 sites in 8 countries)., Conclusions: The study is limited as it is based on the online literature, some of which includes modeled estimates with questionable reliability. However, the results indicate that while countries in North Africa are expected to surpass their population workforce requirements, sub-Saharan African countries are likely to have significant workforce deficits accentuated by the paucity of neurosurgery training programs. To meet the 2030 population workforce requirements, the continent's exponential growth rate should be scaled up to 15.87% per annum. Scaling up neurosurgical training would help to meet this target and requires collaborative efforts from continental, regional, and national agencies and international organizations.