Senior Mentorship and Scholarly Success: Assessing Influences on Successful Neurosurgery Residency Applicant's H-index.

BACKGROUND: Research productivity is on the rise as neurosurgical residency positions become increasingly competitive. OBJECTIVE: We explored the relationship between neurosurgical residency applicant's senior author's research productivity and matching into a neurosurgery residency program. METHODS: A retrospective analysis of bibliometric data for applicants who matched into neurosurgery in 2022-2023 and their senior authors was conducted using Scopus. RESULTS: Logistic regression revealed a significant association between h-index values and top 40 match outcomes (p=0.038). The maximum h-index of senior authors significantly predicted matches at top 40 programs (p=0.003). Affiliation with a top 40 medical school increased both applicant and senior author h-indices (p=0.05, p<0.001 respectively). Linear regression of the maximum h-index of senior authors in pre-residency publications explained 42% of this variability (p<0.001). A multiple linear regression model incorporating this with publication number elucidated 69% of the variance in interns' h-index. Authorship data categorized as first, second, and third author positions showed 1847 first author, 1417 second author, and 118 third author publications over two-years. Applicants at top 40 residency programs had more first and second author publications compared to those from non-top 40 programs (p=0.0158, p=0.0275). CONCLUSION: There is a strong correlation between a neurosurgical applicant's academic output and that of their senior authors. The number of publications and the maximum h-index of senior authors significantly predict applicant h-indices. We also demonstrated that there is a significant difference in the academic productivity of applicants and senior authors of applicants who successfully match into a top 40 i(h)5 rated neurosurgical residency.

Modeling Neurodegenerative Disorders in Drosophila melanogaster.

Drosophila melanogaster provides a powerful genetic model system in which to investigate the molecular mechanisms underlying neurodegenerative diseases. In this review, we discuss recent progress in Drosophila modeling Alzheimer's Disease, Parkinson's Disease, Amyotrophic Lateral Sclerosis (ALS), Huntington's Disease, Ataxia Telangiectasia, and neurodegeneration related to mitochondrial dysfunction or traumatic brain injury. We close by discussing recent progress using Drosophila models of neural regeneration and how these are likely to provide critical insights into future treatments for neurodegenerative disorders.

In Vivo Forward Genetic Screen to Identify Novel Neuroprotective Genes in Drosophila melanogaster.

There is much to understand about the onset and progression of neurodegenerative diseases, including the underlying genes responsible. Forward genetic screening using chemical mutagens is a useful strategy for mapping mutant phenotypes to genes among Drosophila and other model organisms that share conserved cellular pathways with humans. If the mutated gene of interest is not lethal in early developmental stages of flies, a climbing assay can be conducted to screen for phenotypic indicators of decreased brain functioning, such as low climbing rates. Subsequently, secondary histological analysis of brain tissue can be performed in order to verify the neuroprotective function of the gene by scoring neurodegeneration phenotypes. Gene mapping strategies include meiotic and deficiency mapping that rely on these same assays can be followed by DNA sequencing to identify possible nucleotide changes in the gene of interest.