The main goal of this research was to identify potential molecular pathways that contribute to memory dysregulation and decline that persists long after illness or inflammation. We have previously established a subchronic immune challenge model that results in memory impairments months after the inflammatory challenge. This project aimed to determine whether memory impairments were accompanied by transcriptional dysregulation in memory related brain region (the hippocampus).
These data show the differential gene expression as log2fold change (and p-value) in males and females 3 months after immune challenge (Supp Tables 1 and 2); after a subsequent immune challenge (Supp Tables 3 and 4); the differential regulation of genes in males and females (Supp Table 5); genes differentially expressed in the hippocampus of males and females at baseline (Supp Table 6) and the differential regulation of those genes in males and females after immune challenge (Supp Tables 7,8).
SPSS is required to access processed dataset in .sav format. Model output is provided as a word document, and Qualtrics survey instrument is included as PDF and .docx, where .docx version contains survey logic and question numbers.
The data and the scripts are to show that seizure onset dynamics and evoked responses change over the progression of epileptogenesis defined in this intrahippocampal tetanus toxin rat model. All tests explored in this study can be repeated with the data and scripts included in this repository. and Dataset citation: Crisp, D.N., Cheung, W., Gliske, S.V., Lai, A., Freestone, D.R., Grayden, D.B., Cook, MJ., Stacey, W.C. (2019). Epileptogenesis modulates spontaneous and responsive brain state dynamics [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/r6vg-9658
This data and scripts are meant to test and show seizure differentiation based on bifurcation theory. A zip file is included which contains real and simulated seizure waveforms, Matlab scripts, and metadata. The matlab scripts allow for visual review validation and objective feature analysis. The file “README.txt” provides more detail about each individual file within the zip file. and Data citation: Crisp, D.N., Saggio, M.L., Scott, J., Stacey, W.C., Nakatani, M., Gliske, S.F., Lin, J. (2019). Epidynamics: Navigating the map of seizure dynamics - Code & Data [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/ejhy-5h41
The search data supports a literature review project on lifestyle therapies for the management of atrial fibrillation. The data included in the dataset are the reproducible search strategies (in docx) and the exported results of all citations from all databases (txt and ris files). These searches and exported result files contain all citations originating from the database searches that were considered for inclusion.
While collaboration with industry is paramount to innovation, the recent emphasis on industrial relationship transparency has sparked new guidelines, research studies, and standardizations focused on re-defining conflict of interest. There is limited data on defining the specific financial amount wherein a conflict of interest is relevant. This study is the first to assess the potential financial effects on high-quality clinical data, or the “indirect sponsorship”.
This systematic review and meta-analysis assesses decision aids in the context of patients considering post-mastectomy breast reconstruction. and NOTE: An updated Read Me file was added to this data set on May 24, 2018 replacing the original.
This dataset includes census tract-level data concerning housing in Metropolitan Detroit. The data includes: 1) Total housing units and total mortgages in the tract; 2) Land use; 3) Real estate information (foreclosures, sales transactions, and home values); 4) Vacant housing; 5) Housing age and available facilities; 6) Housing condition; and 7) Spatial measures of subsidized housing in the tract.
Data coverage should say 2006 to 2015.
The research adheres to PRISMA-HARM recommendations for systematic reviews. The reproducible search strategies for all databases, the citation export files from all databases, and the eligibility screening decisions are included in the dataset.