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 #
TitleCausal mapping of emotion networks with concurrent electrical stimulation and fMRI
Investigator
Ralph Adolphs, Matthew A. Howard, Russell A Poldrack
Institute
california institute of technology
Fiscal Year
Funding Opportunities Number
Understanding human brain function requires knowledge of its connectivity: how one structure causally influences other components of the network.
TitleCausally linking dendritic Ca2+ dynamics to CA1 circuit function and spatial learning using novel tools to precisely manipulate an endogenous Ca2+ buffering process
Investigator
Justin O'hare
Institute
columbia university health sciences
Fiscal Year
Funding Opportunities Number
In dendrites, Ca2+ is critical in determining how neurons respond to incoming excitation.
TitleCell atlas of mouse brain-spinal cord connectome
Investigator
Hong-Wei Dong, Huizhong Whit Tao, Li I Zhang
Institute
university of southern california
Fiscal Year
Funding Opportunities Number
PROJECT SUMMARY Although great efforts have been dedicated to characterizing neuronal cell types in the brain, systematic studies on the brain-spinal cord connectome and associated spinal neuronal types are lacking.
TitleCircuit and Synaptic Mechanisms of Visual Spatial Attention
Investigator
Bilal Haider
Institute
georgia institute of technology
Fiscal Year
Funding Opportunities Number
Sensory processing is a way to understand neural circuits and their functions during behavior. Behavioral context strongly affects sensory processing. For example, a brief visual stimulus is easier to detect if it appears in a predictable spatial location.
TitleCircuit mechanisms for encoding naturalistic motion in the mammalian retina
Investigator
Wei Wei
Institute
university of chicago
Fiscal Year
Funding Opportunities Number
Abstract Motion detection, a fundamental computation of the visual system, begins in the retina. In the mammalian retina, the direction of moving objects is computed by the direction-selective circuit. The retinal output of this circuit is provided by direction-selective ganglion cells (DSGCs).
TitleCircuit mechanisms underlying learned changes in persistent neural activity
Investigator
Emre Aksay, Mark S Goldman, Hyunjune Sebastian Seung
Institute
weill medical coll of cornell univ
Fiscal Year
Funding Opportunities Number
ABSTRACT Persistent neural activity, a sustained response following brief stimuli that is observed in many brain networks, needs to be appropriately tuned to meet the exacting demands of various motor and cognitive tasks.
TitleCircuitry underlying response summation in mouse and primate: Theory and experiment
Investigator
Nicolas Brunel, Kenneth D Miller, John H Reynolds
Institute
salk institute for biological studies
Fiscal Year
Funding Opportunities Number
Project Summary  Despite the enormous complexity of the brain, it is becoming increasingly apparent that structures like the  cerebral cortex are modular, relying on a set of canonical computations that occur across brain regions and  modalities to mediate perception, cognition and behavior.  One im
TitleCoarse-graining approaches to networks, learning, and behavior
Investigator
William Bialek, Stephanie E Palmer, David Jason Schwab
Institute
university of chicago
Fiscal Year
Funding Opportunities Number
Project Summary The theory hub put forward in this proposal will work to translate successful and powerful approaches to describing emergent collective behavior in physical systems so they can be applied to the brain.
TitleCollaborative Standards for Brain Microscopy
Investigator
Carol Marie Hamilton
Institute
research triangle institute
Fiscal Year
Funding Opportunities Number
PROJECT SUMMARY/ABSTRACT Fast microscopy techniques, coupled with recent advances in tissue clearing, are now able to efficiently produce cellular-resolution images of intact brain samples.
TitleCombined Cortical and Subcortical Recording and Stimulation as a Circuit-Oriented Treatment for Obsessive-Compulsive Disorder
Investigator
Darin D Dougherty, Alik S Widge
Institute
massachusetts general hospital
Fiscal Year
Funding Opportunities Number
Project Abstract This project is a pilot clinical trial of a new brain stimulation treatment for obsessive-compulsive disorder. OCD is a mental illness that affects 4-7 million people in the US. Of those, 50-70% still have substantial symptoms after being treated with medication or talk therapy.
TitleComputational and Circuit Mechanisms Underlying Rapid Learning
Investigator
Elizabeth A Buffalo
Institute
university of washington
Fiscal Year
Funding Opportunities Number
PROJECT SUMMARY/ABSTRACT The mammalian brain has a remarkable ability to store and retrieve information. Detailed memories can be formed after as little as one exposure, and those memories can be retained for decades.
TitleConnectome 2.0: Developing the next generation human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
Investigator
Peter J. Basser, Susie Yi Huang, Bruce R Rosen, Lawrence L Wald, Thomas Witzel
Institute
massachusetts general hospital
Fiscal Year
Funding Opportunities Number
SUMMARY We present Connectome 2.0, the next-generation human MRI scanner for imaging structural anatomy and connectivity spanning the microscopic, mesoscopic and macroscopic scales.
TitleContext-dependent processing in sensorimotor cortex
Investigator
Jennifer L. Collinger
Institute
university of pittsburgh at pittsburgh
Fiscal Year
Funding Opportunities Number
ABSTRACT Humans interact with their environment in countless ways and can switch seamlessly between activities. Even for seemingly simple tasks, a variety of sensory inputs are integrated to create a motor plan to complete a task. Take the example of picking up a glass.
TitleControlling the spatial extent of light-based monitoring and manipulation of neural activity in vivo
Investigator
John Assad, Massimo Devittorio, Ferruccio Pisanello, Wade G Regehr, Bernardo L Sabatini
Institute
harvard medical school
Fiscal Year
Funding Opportunities Number
Project Abstract/Summary The brains of mammals contain an extraordinarily large number of neurons whose activity and interconnections determine the function of circuits that monitor our sensory environment, dictate our motor choices, form memories, and guide all behavior.
TitleCortical Interactions Underlying Sensory Representations
Investigator
Jerry L Chen
Institute
boston university (charles river campus)
Fiscal Year
Funding Opportunities Number
PROJECT SUMMARY Sensory perception involves processing incoming sensory input and interpreting that information through rules generated from prior experience.
TitleCortical Signature and Modulation of Pain
Investigator
Zhigang He, Fan Wang
Institute
duke university
Fiscal Year
Funding Opportunities Number
Cortical Signature and Modulation of Pain Abstract/Project Summary Pain perception contains two main dimensions: the sensory-discriminative and the affective-cognitive aspects.
TitleCranialProgrammer: Image-Guided Directional Deep Brain Stimulation Programming Using Local-Field Potentials
Investigator
Austin Robert Duke
Institute
nexeon medsystems puerto rico operating company, inc
Fiscal Year
Funding Opportunities Number
ABSTRACT The goal of this U44 proposal is to develop and test CranialProgrammer, an image-guided programming tool for 2D/3D mapping of disease-related neural signals over patient and device data for more efficient and effective programming of directional deep brain stimulation (DBS) systems.
TitleCRCNS Research Proposal: Cortico-amygdalar substrates of adaptive learning
Investigator
Alireza Soltani, Alicia Izquierdo
Institute
dartmouth college
Fiscal Year
Funding Opportunities Number

Learning from feedback in the real w'orld is limited by constant fluctuations in reward outcomes associated with choosing certain options or actions.

TitleCRCNS: Collaboration toward an experimentally validated multiscale model of rTMS
Investigator
Gillian Queisser
Institute
temple university of the commonwealth
Fiscal Year
Funding Opportunities Number

Mental health diseases such as depression are a major burden on society and new treatment options are strongly needed. One strategic goal of NIMH is to develop novel therapies based on discoveries in neuroscience.

TitleCRCNS: Common algorithmic strategies used by the brain for labeling points in high-dimensional space
Investigator
Saket Navlakha
Institute
salk institute for biological studies
Fiscal Year
Funding Opportunities Number

The first major goal of this work is to learn how certain brain regions (olfactory system, hippocampus, and cerebellum) learn very complex stimuli that employ a combinatorial code to identify stimuli as points in a high-dimensional space.

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