The genetics-BIDS extension: Easing the search for genetic data associated with human brain imaging

Metadata are what makes databases searchable. Without them, researchers would have difficulty finding data with features they are interested in. Brain imaging genetics is at the intersection of two disciplines, each with dedicated dictionaries and ontologies facilitating data search and analysis. Here, we present the genetics Brain Imaging Data Structure extension, consisting of metadata files for human brain imaging data to which they are linked, and describe succinctly the genomic and transcriptomic data associated with them, which may be in different databases. This extension will facilitate identifying micro-scale molecular features that are linked to macro-scale imaging repositories, facilitating data aggregation across studies

COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data

The field of neuroimaging has embraced the need for sharing and collaboration. Data sharing mandates from public funding agencies and major journal publishers have spurred the development of data repositories and neuroinformatics consortia. However, efficient and effective data sharing still faces several hurdles. For example, open data sharing is on the rise but is not suitable for sensitive data that are not easily shared, such as genetics. Current approaches can be cumbersome (such as negotiating multiple data sharing agreements). There are also significant data transfer, organization and computational challenges. Centralized repositories only partially address the issues. We propose a dynamic, decentralized platform for large scale analyses called the Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC). The COINSTAC solution can include data missing from central repositories, allows pooling of both open and ``closed'' repositories by developing privacy-preserving versions of widely-used algorithms, and incorporates the tools within an easy-to-use platform enabling distributed computation. We present an initial prototype system which we demonstrate on two multi-site data sets, without aggregating the data. In addition, by iterating across sites, the COINSTAC model enables meta-analytic solutions to converge to ``pooled-data'' solutions (i.e. as if the entire data were in hand). More advanced approaches such as feature generation, matrix factorization models, and preprocessing can be incorporated into such a model. In sum, COINSTAC enables access to the many currently unavailable data sets, a user friendly privacy enabled interface for decentralized analysis, and a powerful solution that complements existing data sharing solutions

Mars Tumbleweed: FY2003 Conceptual Design Assessment

NASA LaRC is studying concepts for a new type of Mars exploration vehicle that would be propelled by the wind. Known as the Mars Tumbleweed, it would derive mobility through use of the Martian surface winds. Tumbleweeds could conceivably travel greater distances, cover larger areas of the surface, and provide access to areas inaccessible by conventional vehicles. They would be lightweight and relatively inexpensive, allowing a multiple vehicle network to be deployed on a single mission. Tumbleweeds would be equipped with sensors for conducting science and serve as scouts searching broad areas to identify specific locations for follow-on investigation by other explorers. An extensive assessment of LaRC Tumbleweed concepts was conducted in FY03, including refinement of science mission scenarios, definition of supporting subsystems (structures, power, communications), testing in wind tunnels, and development of a dynamic simulation capability

Money Minute: Using short informational videos during COVID-19

The COVID-19 pandemic has created a money crunch for some families. To help families struggling financially while capitalizing on at-home time, The University of Tennessee (UT) Extension consumer economics leadership team developed a series of money management videos called Money Minute. The primary purpose of the videos was to provide research-based financial education during this time of financial hardships. Filmed using Zoom, each video offers a piece of research-based information, additional resources, and a call to action. The video series proved to be effective in reaching clientele with financial information in the midst of a pandemic

Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls

Objective: Electroconvulsive therapy (ECT) is effective for major depressive episodes. Understanding of underlying mechanisms has been increased by examining changes of brain connectivity but studies often do not correct for test-retest variability in healthy controls (HC). In this study, we investigated changes in resting-state networks after ECT in a multicenter study. Methods: Functional resting-state magnetic resonance imaging data, acquired before start and within one week after ECT, from 90 depressed patients were analyzed, as well as longitudinal data of 24 HC. Group-information guided independent component analysis (GIG-ICA) was used to spatially restrict decomposition to twelve canonical resting-state networks. Selected networks of interest were the default mode network (DMN), salience network (SN), and left and right frontoparietal network (LFPN, and RFPN). Whole-brain voxel-wise analyses were used to assess group differences at baseline, group by time interactions, and correlations with treatment effectiveness. In addition, between-network connectivity and within-network strengths were computed. Results: Within-network strength of the DMN was lower at baseline in ECT patients which increased after ECT compared to HC, after which no differences were detected. At baseline, ECT patients showed lower whole-brain voxel-wise DMN connectivity in the precuneus. Increase of within-network strength of the LFPN was correlated with treatment effectiveness. We did not find whole-brain voxel-wise or between-network changes. Conclusion: DMN within-network connectivity normalized after ECT. Within-network increase of the LFPN in ECT patients was correlated with higher treatment effectiveness. In contrast to earlier studies, we found no whole-brain voxel-wise changes, which highlights the necessity to account for test-retest effects.</p

Prospectus, March 7, 1984

CONGRESS RETURNS TO A \u27MOST IMPORTANT\u27 STUDENT AID DEBATE; News Digest; Four paintings stolen from Parkland; \u27Job Training and Partnership Act\u27: JTPA \u27good opportunity for dedicated\u27; PC Happenings: TV programs for busy parents, Parkland announces registration, Polish folk arts at Parkland; Sargent talks to Lifelong Learners\u27 Club; Yaxley scholarship; Stu-Go News; \u27Planned Parenthood\u27--pro choice organization; In the Library--Paperbacks; Nolen enjoys differences; What is Sadie Hawkins Day?; Did You Know...; Scholarship news for real estate students; Tuexdo styles are changing; What did you thinnk of the Grammy Awards?; Classifieds; \u27Good looking coed\u27 hunt draws lots of photos; Urbana construction will increase; Learning to relax can kill stress; \u27Women\u27s History Week\u27 honored; Parkland Christian Fellowship to sponsor conference; Weather conditions force closing; Math contest at Parkland; Financia; aid for summer and fall; The latest in swimwear; \u27Western look\u27 changing; Creative Corner...Especially for you!!: Believe..., Creed, Dream, The End, Darkness...; All Up to Me, Listening to an old..., Father to Son, How to know just what is real..., For Larry, Hi, I\u27m crazy ...; Bite the Bullet, Answer, Why can\u27t we see?, Love sparked nu the heat of summer...,Keg, A low rumble starts..., Oh, Mothers..., Has the human race forgot to look at a sunset..., I tried to play your game..., You\u27ve let me down...; Jackson leads the way at this year\u27s Grammy awards; Dexter--valuable asset; $50,000 and silence \u27cheap way for MSU to avoid lawsuit\u27; In the Library--; Channel 12 fund drive stresses \u27TV worth paying for\u27; Woody Allen\u27s latest hilarious; \u27Foghat\u27 hits C/U March 18; Predictions for the upcoming Academy Awards; \u27Big Country\u27 to appear; \u27Full Metal Jacket\u27 talent search; \u27The Right Stuff\u27 finally opens in area; Energetic movie should do well; Baseball Schedule; Bank president--NFL referee; High School Notes; Softball Schedule; Cobra baseball to start; Women win tournament; Lake Land advances in sectional; Mens basketball scores; I.M. News; Cobra men advance to sectional; Cobras end up with last year\u27s record; Tae Kwon Do showed display; Cooper remembers 6 good years; First basketball coach tells how it was; NJCAA meethttps://spark.parkland.edu/prospectus_1984/1029/thumbnail.jp

Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations.

Asthma is a common disease with a complex risk architecture including both genetic and environmental factors. We performed a meta-analysis of North American genome-wide association studies of asthma in 5,416 individuals with asthma (cases) including individuals of European American, African American or African Caribbean, and Latino ancestry, with replication in an additional 12,649 individuals from the same ethnic groups. We identified five susceptibility loci. Four were at previously reported loci on 17q21, near IL1RL1, TSLP and IL33, but we report for the first time, to our knowledge, that these loci are associated with asthma risk in three ethnic groups. In addition, we identified a new asthma susceptibility locus at PYHIN1, with the association being specific to individuals of African descent (P = 3.9 × 10(-9)). These results suggest that some asthma susceptibility loci are robust to differences in ancestry when sufficiently large samples sizes are investigated, and that ancestry-specific associations also contribute to the complex genetic architecture of asthma