“Staging update .....Understanding the brain in all its complexity is impossible for any group to accomplish in isolation.”
-Arthur Toga, Director
We’ve built a diverse team of neurobiologists, mathematicians, and computer scientists, and a worldwide network of collaborators sharing data. Our goal is to increase the pace of discovery in neuroscience by better understanding how the brain works when it’s healthy and what goes wrong in disease.
Our facility houses two advanced Magnetic Resonance Imaging scanners for data acquisition: a Magnetom Prisma 3T and a Magnetom Terra 7T.Learn more
LONI’s onsite data center features state-of-the-art security technology and can store more than four petabytes of brain imaging data.Learn more
A new preprint called “A systematic bias in DTI findings” could prove worrying for many neuroscientists. In the article, authors Farshid Sepehrband and colleagues of the University of Southern California argue that commonly-used measures of the brain’s white matter integrity may be flawed.
Earlier this month, six undergraduate students from California State University, Fullerton presented their summer research results to a room full of neuroscientists at the Mary and Mark Stevens Neuroimaging and Informatics Institute (INI). The collaboration is part of CSUF’s Big Data Discovery and Diversity through Research Education Advancement and Partnerships (BD3 REAP) program, which trains underrepresented students in big data science.
“The program exposes these young investigators to what modern science is about these days, which is the collection of ever larger data sets,” said Jack Van Horn, INI’s director of education and leader of the collaboration. “They’re learning about the challenges of big data, and how they can manage, model, and understand it.”
Building on several semesters studying data science and analytics at CSUF, each student selected a big data neuroimaging project to pursue this summer with the guidance of INI faculty members and postdoctoral researchers.
For their presentations, the students covered methods, results and next steps. Each created a slideshow and was encouraged to delve into the technical aspects of research performed. Focus areas included the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx), using gene expression to build an atlas of the hippocampus and the link between functional brain connectivity and familial Alzheimer’s disease.
The students received mentorship from INI faculty, including program director Jack Van Horn, Kay Jann, Tyler Ard, Dominique Duncan, Lirong Yan and Meredith Braskie.
“This has been a great opportunity for INI to expand its commitment to training the next generation of leaders,” said Arthur W. Toga, provost professor at USC and director of INI. “We were impressed by the students’ work and look forward to continuing our outreach efforts with CSU Fullerton.”
Above, the CSU Fullerton students and their INI mentors.
Two-thirds of AD patients are women, leading to the commonly held assumption that women run a higher risk of dementia. In Chicago, Arthur Toga of the University of Southern California, Los Angeles, challenged that view with data gleaned from a meta-analysis of 58,000 participants in 27 AD studies.
USC offers numerous institutional training opportunities for postdocs, including parallel lines of research on aging and Alzheimer’s disease. But the new project, “Training for the Multiscale and Multimodal Analysis of Biomarkers in Alzheimer’s Disease,” differs from a traditional postdoctoral fellowship in its highly collaborative nature and its emphasis on both the informatics behind Alzheimer’s research and the use of multiple methodologies to study the disease.