Project Summary / Abstract
A major obstacle in the study of human brain function is that we currently have limited understanding of
how the measurements made by different instruments, such as fMRI and EEG, relate to one another and to the
underlying neuronal circuitry.
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 #
TitleDevelopment and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurements
Investigator
Orrin Devinsky, Rick M Dijkhuizen, Natalia Petridou, Nicolas Franciscus Ramsey, Jonathan A Winawer
Institute
university medical center utrecht
Fiscal Year
Funding Opportunities Number
Project Number
TitleDexterous BMIs for tetraplegic humans utilizing somatosensory cortex stimulation
Investigator
Richard A Andersen
Institute
california institute of technology
Fiscal Year
Funding Opportunities Number
Project Number
Project summary/abstract
Reach-to-grasp and hand manipulation will be studied in tetraplegic humans with neural recordings from
multielectrode arrays (MEAs) and intracortical microstimulation (ICMS) of somatosensory cortex.
TitleDiagnosis of Alzheimer's Disease Using Dynamic High-Order Brain Networks
Investigator
Dinggang Shen, Pew-Thian Yap
Institute
univ of north carolina chapel hill
Fiscal Year
Funding Opportunities Number
Project Number
Diagnosis of Alzheimer's Disease Using Dynamic High-
Order Brain Networks
Abstract
Alzheimer's disease (AD) is the most common form of dementia with no known disease-modifying treatment.
Current clinical diagnosis and monitoring of the disease are primarily based on subjective neuropsychological
and
TitleDynamic Neural Mechanisms of Audiovisual Speech Perception
Investigator
Charles E Schroeder
Institute
columbia university health sciences
Fiscal Year
Funding Opportunities Number
Project Number
ABSTRACT – (Title: Dynamic Neural Mechanisms of Audiovisual Speech Perception)
Natural speech perception is multisensory; when conversing with someone that we can see, our brains
combine visual (V) information from face, postural and hand gestures with auditory (A) information from the
voice.
TitleEFFECTIVE CONNECTIVITY IN BRAIN NETWORKS: Discovering Latent Structure, Network Complexity and Recurrence.
Investigator
Stephen José Hanson
Institute
rutgers the state univ of nj newark
Fiscal Year
Funding Opportunities Number
Project Number
Principal investigator/Program Director (Last, first, middle): Hanson, Stephen, José RFA-EB-15-006
Project Summary/Abstract
Since the earliest days of neuroscience research, core methods have focused on matching specific functions
to local brain structure and neural activity.
TitleEmbedded Ensemble Encoding
Investigator
Srdjan D Antic, William W Lytton
Institute
suny downstate medical center
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
We are developing a novel embedded-ensemble encoding (EEE) theory for mammalian neocortex to unify data from
cell and network experiments, and to infer general principles of how information is processed in the brain.
TitleEmergent dynamics from network connectivity: a minimal model
Investigator
Carina Curto
Institute
pennsylvania state university, the
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
Even in the absence of changing sensory inputs, many networks in the brain exhibit emer-
gent dynamics: that is, they display patterns of neural activity that are shaped by the intrinsic
structure of the network, rather than modulated by an external input.
TitleFiltered Point Process Inference Framework for Modeling Neural Data
Investigator
Emery N Brown
Institute
massachusetts general hospital
Fiscal Year
Funding Opportunities Number
Project Number
ABSTRACT
Neuronal spike-trains and various other signals in the central nervous system have a discrete,
impulsive nature that is well characterized with point process statistical models.
TitleFoundations of MRI Corticography for mesoscale organization and neuronal circuitry
Investigator
David Alan Feinberg
Institute
university of california berkeley
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY
Functional MRI (fMRI) is performed at a macroscopic scale of 1 to 3 millimeters spatial resolution.
TitleFunctional Architecture of Speech Motor Cortex
Investigator
Edward Chang
Institute
university of california, san francisco
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY
Speaking is one of the most complex actions that we perform, yet nearly all of us learn do it effortlessly.
TitleGraph theoretical analysis of the effect of brain tumors on functional MRI networks
Investigator
Andrei I Holodny, Hernan Makse
Institute
city college of new york
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary/Abstract:
The broad, long-term objective of this grant is to advance a graph theoretical framework to identify core-nodes
in a Brain Network of Networks to develop a software tool that will allow end-users from the broad
neuroscience community to identify and analyze the most influen
TitleHuman Neocortical Neurosolver
Investigator
Matti Hamalainen, Michael L Hines, Stephanie Ruggiano Jones
Institute
brown university
Fiscal Year
Funding Opportunities Number
Project Number
Abstract
The field of neuroscience is experiencing unprecedented growth in the ability to record from and manipulate
brain circuits in humans and in animal models. MEG/EEG are the leading methods to non-invasively record
human neural dynamics with millisecond temporal resolution.
TitleImproving Human fMRI through Modeling and Imaging Microvascular Dynamics
Investigator
Jonathan Rizzo Polimeni
Institute
massachusetts general hospital
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY/ABSTRACT
All fMRI signals have a vascular origin, and this has been believed to be a major limitation to precise
spatiotemporal localization of neuronal activation when using hemodynamic functional contrast such as BOLD.
However, significant recent discoveries made using powerful ult
TitleIntegrated fMRI Methods to Study Neurophysiology and Circuit Dynamics at Laminar and Columnar Level
Investigator
Wei Chen
Institute
university of minnesota
Fiscal Year
Funding Opportunities Number
Project Number
Project Description
Functional MRI (fMRI) based on the blood oxygenation level dependent (BOLD) contrast has become a
powerful neuroimaging modality and has gained a prominent position in neuroscience for imaging brain
activation at working state and functional connectivity at rest.
TitleInvasive Approach to Model Human Cortex-Basal Ganglia Action-Regulating Networks
Investigator
Nader Pouratian
Institute
university of california los angeles
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary/Abstract
Action initiation and withholding are key parts of everyday behavior, and underlying these is action
suppression.
TitleLarge-scale Network Modeling for Brain Dynamics: Statistical Learning and Optimization
Investigator
Xi Luo
Institute
brown university
Fiscal Year
Funding Opportunities Number
Project Number
Summary
The human brain is a large, well-connected, and dynamic network.
TitleLearning spatio-temporal statistics from the environment in recurrent networks
Investigator
Nicolas Brunel, Harel Zeev Shouval
Institute
university of texas hlth sci ctr houston
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary Abstract
Learning new tasks and exposure to new environments lead to changes in the dynamics of brain circuits, as
observed in various recent experiments.
TitleManifold-valued statistical models for longitudinal morphometic analysis in preclinical Alzheimer's disease (AD)
Investigator
Sterling C Johnson, Vikas Singh
Institute
university of wisconsin-madison
Fiscal Year
Funding Opportunities Number
Project Number
Project Summary
The ability to quantitatively characterize incipient Alzheimer's disease (AD) pathology in its preclinical stage is
a critical step for early interventions involving disease modifying therapy and for designing efficient clinical trials
to test therapy efficacy.
TitleMicroscopic foundation of multimodal human imaging
Investigator
Anders M Dale, Anna Devor
Institute
university of california, san diego
Fiscal Year
Funding Opportunities Number
Project Number
The computational properties of the human brain arise from an intricate interplay between billions of neurons
connected in complex networks. However, our ability to study these networks in healthy human brain is limited
by the necessity to use noninvasive technologies.
TitleMultimodal modeling framework for fusing structural and functional connectome data
Investigator
Srikantan S. Nagarajan, Ashish Raj
Institute
weill medical coll of cornell univ
Fiscal Year
Funding Opportunities Number
Project Number
PROJECT SUMMARY / ABSTRACT
Project Summary
A key goal of computational neuroscience is to discover how the brain’s structural organization produces its
functional behavior, and how impairment of the former causes dysfunction and disease.