The ability to measure and manipulate local brain circuit activity in living, behaving animals is essential to understanding the complexities of brain function and dysfunction.
Electroencephalography (EEG) measures the brain’s local field potential from the surface of the scalp. This method is useful for studying cognitive processes, neurological states, and medical conditions. Its relative low- cost, ease-of use, and non-invasiveness increase its utility in brain monitoring for both research and medical applications. Unfortunately, the process of acquiring EEG is often not inclusive of all research subjects. EEG typically requires scalp abrasion and application of conductive gels to create a low impedance contact between exposed skin and the electrode tips.
In this SBIR grant proposal, “Ultra-low distortion and noise electronics to enable a clinical MPI imaging platform,” we will develop the RF subsystem for a clinical magnetic particle imaging (MPI) platform to enable three classes of MPI applications: cell tracking, functional imaging, and endogenous contrast imaging.
Whole-brain mapping at the cellular and subcellular levels is crucial to systematically understand brain functions and disorders. Recent developments in tissue transformation techniques, such as CLARITY, SHIELD, MAP, ExM, CUBIC, and DISCO-based methods, have made significant progress towards whole-organ molecular labeling and microscopic imaging by rendering intact tissue chemically permeable and optically transparent.
This Phase II project describes the commercial development of HyperAxon™, highly innovative software for performing automated segmentation, tracing, reconstruction and quantitative analysis of all axonal fibers (with and without signs of acute axonal injury) visible in two- and three-dimensional (2D and 3D) microscopy images of central nervous system (CNS) areas, even those with extremely high axonal fiber density.
Project Summary Single cell transcriptomics has transformed the field of brain cell type classification, allowing simultaneous measurement of enough molecular features from enough cells to categorize neurons quantitively and with high conservation across brain areas and species.
SUMMARY The "NexGen" 7 Tesla MRI scanner at UC Berkeley is a unique resource that we wish to make available for neuroscience collaborations across the globe. It was specifically designed for extremely high resolution structural and functional neuroimaging at the scale of cortical laminae and columnar neurocircuit organization ("meso-scale"). To achieve this, the NexGen scanner builds upon existing standard 7T scanners and integrates a number of technological advances, creating synergistic improvements and gains in speed, resolution and signal.
HNN U24 DISSEMINATION PROJECT SUMMARY The Human Neocortical Neurosolver (HNN) neural modeling tool was developed with BRAIN Initiative funding (R01EB022889: 09/2016–06/2020) to meet the Initiative’s goal to “develop innovative technologies to understand brain circuits and ensembles of circuits that infor
PROJECT SUMMARY / ABSTRACT Functional MRI (fMRI) is today the predominant tool for noninvasive imaging of brain function, which has revolutionized our understanding of the human brain. To date, echo-planar imaging (EPI) has been the standard fMRI acquisition method, but suffers from intrinsic limitations such as static and dynamic distortion, image/contrast blurring, signal voids, suboptimal CNR and physiological noises.
A central goal of neuroscience is to discover how neural circuits control the body’s muscles to produce behavior. However, despite recent advances in tools for studying brain activity, methods for examining the signals that actually control behavior – spiking activity in muscle fibers – have advanced little since the 1950s, fundamentally limiting our understanding of how the brain controls the body. By combining our expertise in electrophysiology (Dr. Sober) and engineering (Dr.
