RESUMO
Background: Large-scale retrospective studies have identified implicit gender bias in citation behaviors across multiple medical fields. There are minimal resources to directly assess one's own citation behavior before publication at a laboratory level. In this study, we performed an internal audit of our own citation practices and behavior, looking at the representation of authors by gender in our own bibliographies. Methods: Bibliographies were collated from our laboratory's publications between 2015 and 2022 with a single senior author, who was excluded from participating in this study. Bibliographies were run through a simulation originally constructed and used by authors from the University of Pennsylvania that categorized authors of each article by gender: man or woman, according to external database records. Results: Of the 1697 citations, the first and last authorship sequences displayed to be 60.8% male/male, 10.1% male/female, 16.3% female/male and 12.8% female/female. Men-led articles within our laboratory cited 67.4% male/male articles in their bibliographies compared with women-led articles citing 53.9%. All laboratory bibliographies consisted of 77.1% male senior authors compared with 22.9% female senior authors. Conclusions: Our data confirm that a gender bias in citation practices exists at the laboratory level. Promisingly, these data also indicate that diversity within an individual laboratory group leads to diversity in representation; therefore, diversifying a team of researchers is prone to improve the overall work and success of the laboratory. We encourage laboratory groups to challenge their own biases by replicating their own results and discovering how these biases might be impacting their publications.
RESUMO
In recent years, tractography based on diffusion magnetic resonance imaging (dMRI) has become a popular tool for studying microstructural changes resulting from brain diseases like Parkinson's Disease (PD). Quantitative anisotropy (QA) is a parameter that is used in deterministic fiber tracking as a measure of connection between brain regions. It remains unclear, however, if microstructural changes caused by lesioning the median forebrain bundle (MFB) to create a Parkinsonian rat model can be resolved using tractography based on ex-vivo diffusion MRI. This study aims to fill this gap and enable future mechanistic research on structural changes of the whole brain network rodent models of PD. Specifically, it evaluated the ability of correlational tractography to detect structural changes in the MFB of 6-hydroxydopamine (6-OHDA) lesioned rats. The findings reveal that correlational tractography can detect structural changes in lesioned MFB and differentiate between the 6-OHDA and control groups. Imaging results are supported by behavioral and histological evidence demonstrating that 6-OHDA lesioned rats were indeed Parkinsonian. The results suggest that QA and correlational tractography is appropriate to examine local structural changes in rodent models of neurodegenerative disease. More broadly, we expect that similar techniques may provide insight on how disease alters structure throughout the brain, and as a tool to optimize therapeutic interventions.
