Applications are now open for the 2020-2021 ReproNim/INCF Training Felllowship! Submission deadline is February 1, 2020. For more information and link to online application:https://t.co/VgAd0cbI4g
— Reproducible Neuroimaging (@ReproNim) January 7, 2020
Join us for the UCI Brain Initiative launch event. The day will be focused on faculty discussions about team science, presentations by groups of UCI faculty and students, along with a special keynote presentation.
The evening will be open to the public for a fireside chat with UCI’s most distinguished and most promising neuroscience faculty.
Individuals with Down syndrome (DS) have an increasing age-related prevalence of Alzheimer’s disease (AD). In DS, the triplication of amyloid precursor protein on chromosome 21 contributes to a life-long accumulation of brain amyloid. Dementia increases with age to over 75% prevalence after age 65 years.
In non-demented adults with DS, PET studies have shown increased amyloid uptake. However, the relationship between amyloid uptake and cognitive decline in DS has not been determined. This study compares brain amyloid distribution by consensus diagnosis in patients with DS using 18F-AV-45 PET.
The talk is available at the AAIC Learning Center and unfortunately is not free.
Or you can view the poster directly: DownsADDSPET_AAIC_2019
In this project we develop human neuroimaging domain-specific controlled vocabularies through community engagement and to provide tools for their use in BRAIN Initiative projects. The proposed work will provide a controlled vocabulary for use by the newer BRAIN Initiative projects, incorporating such annotations into the BIDS format and hosted through the BRAIN Initiative archives such as OpenNeuro. This project will greatly improve the ability to search across and reuse datasets.
Sign up for NIDM-Terms and stay tuned for more information about contributing!
Congratulations to undergraduate student Nazek Queder who was awarded a research stipend to support her work on “Creating a New Brain Template for PET Studies of Alzheimer’s disease in the Down Syndrome Population,” under the supervision of Dr. David Keator. Nazek will work on state-of-the art templates to improve our ability to understand regional amyloid accumulation in participants who are unable to tolerate an MRI scan.
Nazek is a 4th year psychology student with a broad experience in psychology, neuroscience, art, and programming. Nazek’s passion is to help us understand how the brain works and is “thrilled to be able to contribute to society by us having more tangible measures to read and model brain atrophy in patients with Alzheimer’s Disease.”
Managing dynamic information in large multi-site, multi-species, and multi-discipline consortia is a challenging task for data management applications. Often in academic research studies the goals for informatics teams are to build applications that provide extract-transform-load (ETL) functionality to archive and catalog source data that has been collected by the research teams. In consortia that cross species and methodological or scientific domains, building interfaces which supply data in a usable fashion and make intuitive sense to scientists from dramatically different backgrounds increases the complexity for developers. In this work we have built a multi-species data management system which uses semantic web techniques based on the Neuroimaging Data Model (NIDM ;Figure). We find this approach enables a low-cost, easy to maintain, and semantically meaningful information management system, enabling the diverse research teams to access and use the data.
Citation: Keator, D.B. et al., (2017). A Semantic Cross-Species Derived Data Management Application. Data Science Journal. 16, p.45. DOI: http://doi.org/10.5334/dsj-2017-045
Our work on brain-based biomarkers of dementia in Down’s Syndrome has been selected for an oral presentation at the AD/PDTM 2017, the 13th International Conference on Alzheimer’s and Parkinson’s Diseases and Related Neurological Disorders. In this work we show how amyloid burden in the brain as assessed with Positron Emission Tomography (PET) predicts future clinical transition to dementia.