Project Summary / Abstract
The purpose of this project is to optimize circuit and system architectures of active electrode arrays which will
provide low-noise, multiplexed acquisition of neural signals from thousands of electrodes.
Funded Awards
The National Institutes of Health (NIH) BRAIN Initiative funds a wide-variety of research: toolmakers, trainees, individual labs testing new hypotheses, and large, team-based efforts aiming to catalyze neuroscience inquiry forward. Explore NIH BRAIN Initiative funded awards listed below. Click on the project title to learn more about it within NIH RePORTER.
To see more NIH-funded awards and associated publications, please visit the NIH RePORTER.
Title
Investigator(s)
Institution
Fiscal Year
Funding Opportunity #
Project #
TitleNeuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural Interfaces
Investigator
Hui Fang, Jonathan Viventi
Institute
duke university
Fiscal Year
Funding Opportunities Number
Project Number
TitleNeuroExM
Investigator
Jacob R Glaser
Institute
microbrightfield, llc
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
This project describes the development of NeuroExM™, a highly innovative system for performing
comprehensive spatial distribution analysis of populations of messenger RNAs (mRNAs) and proteins in tissue
processed for expansion microscopy (ExM)).
TitleNeuroJSON - A Scalable, Searchable and Verifiable Neuroimaging Data Platform
Investigator
Qianqian Fang
Institute
northeastern university
Fiscal Year
Funding Opportunities Number
Project Number
Traditional file-based neuroimaging data management and integration strategies have shown
increasing limitations in accommodating the meteoric growth in both the scale and complexity of today’s
neuroimaging data.
TitleNIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and species
Investigator
Oscar Esteban, Michael Peter Milham, Russell A Poldrack, Ariel Shalom Rokem, Theodore Satterthwaite
Institute
stanford university
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
Despite the rapid advances in the neuroimaging research workflow over the last decade, the enormous
variability between and within data types and specimens impedes integrated analyses.
TitleNovel high-field MRI compatible subdural electrode and acquisition system for recording and stimulation in small animals
Investigator
Hernan Millan
Institute
emri systems llp
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
Preclinical small animal imaging makes valuable contributions to improving
our understanding of human brain.
TitleOpenScope: A Platform for High-Throughput and Reproducible Neurophysiology Open to External Scientists to Test Impactful Theories of Brain Function
Investigator
Christof Koch, Jerome Anthony-Jean Lecoq
Institute
allen institute
Fiscal Year
Funding Opportunities Number
Project Number
Project summary
Over the past five years, the Allen Institute has built two unique in-house pipelines for in vivo electro- and
optical-physiology: together they form the Allen Brain Observatory.
TitleOptical gearbox for high speed neural recording
Investigator
Meng Cui, Guang Yang
Institute
purdue university
Fiscal Year
Funding Opportunities Number
Project Number
The rapid advance of genetically encoded functional indicators allows the scientists to visualize
neuronal activities with light in the living brain at high spatiotemporal resolutions.
TitleOptimization of CaMPARI for large-scale, cellular-resolution activity recording in freely-moving mice
Investigator
Robert E. Campbell, Hod Michael Dana, Marie-Eve Paquet
Institute
cleveland clinic lerner com-cwru
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
The goal of this proposed research is to optimize a dual-use calcium ion sensor for recording single-cell activity
from the entire dorsal cortex or hippocampus of freely-moving mice.
TitleOptimization of GPCR-based fluorescent sensors for large-scale multiplexed in vivo imaging of neuromodulation
Investigator
Samuel Andrew Hires, Yulong Li
Institute
university of southern california
Fiscal Year
Funding Opportunities Number
Project Number
Neuromodulators regulate addiction, attention, cognition, mood, memory, motivation, sleep, and more through
their influence on brain circuits. Classic tools for measuring neuromodulation in the brain have poor spatial and
temporal resolution.
TitleQuantitative Diffuse Correlation Spectroscopy for Assessing Human Brain Function
Investigator
Ulas Sunar
Institute
wright state university
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY/ABSTRACT
Acute brain injuries can lead to secondary brain damage that worsens the outcome. Reduced cerebral blood
flow can induce ischemia, while excess blood flow can cause hemorrhage.
TitleReal-time Aberration Sensor for Large-Scale Microscopy Deep in the Mouse and Adult Zebrafish Brain
Investigator
Steven Graham Adie
Institute
cornell university
Fiscal Year
Funding Opportunities Number
Project Number
ABSTRACT
Optical imaging holds tremendous promise in our endeavor to understand brain functions. The major challenges
for optical brain imaging are depth and speed.
TitleRedefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine Learning
Investigator
Peter V. Kochunov, Paul M Thompson
Institute
university of maryland baltimore
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
This application will combine the strengths of two large scale NIH-funded initiatives to understand disorder-
related patterns in the human brain: Connectomes Related to Human Disease (CRHD) and Enhancing
Neuroimaging Genetics through Meta-Analysis (ENIGMA).
TitleResolving Spatiotemporal Determinants of Cell Specification in Corticogenesis with Latent Space Methods
Investigator
Genevieve Lauren Stein-O'brien
Institute
johns hopkins university
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
High-throughput profiling of hundreds of thousands of cells in the central nervous system (CNS) is currently
underway.
TitleRobotically-actuated, low-noise, concurrent TMS-EEG-fMRI system
Investigator
Chunlei Liu, Michael Lustig, Angel V Peterchev
Institute
university of california berkeley
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
The ability to noninvasively modulate and image the brain with spatial and temporal precision is highly desirable
for understanding brain circuits in health and disease.
TitleScalable tools for consistent identification of neuronal cell types in mouse and human
Investigator
Staci A Sorensen, Uygar Sumbul
Institute
allen institute
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
The proposed work will address a critical gap in our understanding of neuronal phenotypes and cell types by
developing machine learning algorithms and cloud-based software for the integration of multiple modality
characterizations large and growing datasets of cortical neurons in mou
TitleSecondary analysis of functional MRI and resting state connectivity in white matter
Investigator
John C Gore, Bennett A. Landman
Institute
vanderbilt university medical center
Fiscal Year
Funding Opportunities Number
Project Number
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).
TitleSelective Control of Synaptically-Connected Circuit Elements by Interluminescence
Investigator
Ute H Hochgeschwender, Christopher I Moore
Institute
central michigan university
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY/ABSTRACT
A wealth of new tools can directly control output of specific neurons on fast (e.g., optogenetic) or sustained (e.g.,
chemogenetic) time scales.
TitleSensiTrak: Automated Assessment of Forelimb Sensation
Investigator
Andrew Michael Sloan
Institute
vulintus, llc
Fiscal Year
Funding Opportunities Number
Project Number
Project Abstract
In this Phase I STTR project, Vulintus, Inc., in collaboration with Columbia University, proposes
to develop and test ‘SensiTrak,’ an automated, high-throughput behavioral system designed to
finely measure somatosensory function in rodent models.
TitleSensory motor transformations in human cortex
Investigator
Richard A Andersen
Institute
california institute of technology
Fiscal Year
Funding Opportunities Number
Project Number
Abstract: The long-term objective of this application is to understand cortical processing of sensory to
motor transformations within the human cerebral cortex. A vast number of computations must be
performed to achieve sensory-guided motor control.
TitleSex hormone regulation of Lateral Habenula circuitry for reward and aversion encoding
Investigator
Brandy A. Briones
Institute
university of washington
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
This proposal seeks to investigate sex hormone effects on reward and aversion-related behaviors through
mapping of Lateral Habenula (LHb) circuits.