Abstract / Summary This proposal aims to perform novel, secondary analyses on large archives of publicly-available fMRI studies in order to quantify the functional characteristics of white matter (WM) and their changes during normal aging and in the progression to Alzheimer’s Disease (AD).
Recently, several lines of evidence have supported that synaptic dysfunction represents one of the earliest brain changes in Alzheimer’s disease (AD), leading to hyper-excitation in neuronal circuits.
Project Summary The Child Mind Institute’s Healthy Brain Network (HBN) is an ongoing initiative focused on creating and sharing a biobank of brain and behavioral data now being collected from 10,000 New York City area children and adolescents (ages 5-21).
Project Summary In an effort to better understand structural organization and anatomy of nervous systems at unprecedented spatial resolution, recent efforts, including BRAIN Initiative funded projects, have collected increasingly larger datasets using Electron Microscopy (EM) and X-Ray Microtomography (X
Project Summary/Abstract The Brain Imaging Data Structure (BIDS) is a BRAIN initiative (R24 MH114705) community-driven standard meant to maximize neuroimaging data sharing, and facilitate analysis tool development.
PROJECT SUMMARY Data sharing is essential to promote equity and maximize the impact of the significant investment in the BRAIN Initiative.
PROJECT SUMMARY/ABSTRACT A central goal for the second half of the BRAIN Initiative is to develop new circuit-based treatments for brain diseases.
Project Summary/Abstract Growing up in a media-saturated world, the current generation of children and adolescents spend on average 6- 9 hours each day on screen media activities (SMAs). Therefore, SMA is a topic of considerable concern in the USA and elsewhere. Given changes in digital technologies and their usage over the past several decades, there is a significant gap in our understanding of shorter- and longer-term impacts of SMA on brain-behavior relationships.
ABSTRACT (PROJECT SUMMARY) The classification of neurons in the mammalian brain has long been a focus of intensive investigation in neuroscience. Neurons are widely recognized as the fundamental computational elements of the nervous system, and the broad diversity of their morphological, physiological, and molecular properties may provide crucial insights into their function and involvement in disease. Long-range axonal projections, in particular, are the quintessential determinants of network connectivity, providing a key nexus between cellular organization and circuit architecture.
Project Summary The goal of this project is to create a unified framework for understanding the relationship between neuronal gene expression and connectivity in mouse visual cortex, by using morphology as a key linking modality. There now exist publicly available large-scale data sets that measure both these modalities in mouse visual cortex. One dataset is a large set of Patch-seq experiments from single cells, which provide measurements of gene expression, electrophysiological properties and morphology for individual cells.
