Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurements

Information

  • Research Project
  • 9501783
  • ApplicationId
    9501783
  • Core Project Number
    R01MH111417
  • Full Project Number
    5R01MH111417-03
  • Serial Number
    111417
  • FOA Number
    RFA-MH-16-750
  • Sub Project Id
  • Project Start Date
    9/22/2016 - 8 years ago
  • Project End Date
    6/30/2021 - 3 years ago
  • Program Officer Name
    KIM, DOUGLAS SUN-IL
  • Budget Start Date
    7/1/2018 - 6 years ago
  • Budget End Date
    6/30/2019 - 5 years ago
  • Fiscal Year
    2018
  • Support Year
    03
  • Suffix
  • Award Notice Date
    6/9/2018 - 6 years ago
Organizations

Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurements

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. Significant efforts have led to development of models within various specialist fields, but fragmentation has held us back from advancing our interpretation of the spatiotemporal characteristics of non-invasive imaging signals. Bringing together the various models that pertain to signal interpretation would constitute a significant advance in what we can learn from non-invasive neuroimaging. In this project we take such an integrative approach to the study of cortical sensory systems. We intend to develop a set of connecting, empirically driven models that will predict how sensory stimuli are encoded in neuronal population activity underlying electrophysiological measures (AIM 1), and hemodynamic measures (AIM 2), leading to a comprehensive integrative model (AIM 3). The pivotal integrative model (AIM 3) will improve our understanding of, and revolutionize the information we can obtain from fMRI, the modality with the highest potential for mapping detailed functions non-invasively in humans. To achieve this we will combine hemodynamic and electrophysiological measurements at multiple spatial scales in humans, and in rodents at very high resolutions. This will include non-invasive (fMRI at 3T and 7T, MEG and EEG) and invasive (optical imaging, ECoG) modalities obtained from healthy humans. By obtaining multiple modality recordings from the same individuals, using the same stimuli and tasks, we will be able to unequivocally link clear and specific electrophysiological information to widely used fMRI technology, while significantly improving our understanding of the electrical and hemodynamic phenomena underlying brain activity. The research constitutes a multicenter endeavor to A) develop a comprehensive model to link external inputs to neuronal population physiology to non-invasive imaging measures, B) obtain state of the art multimodal recordings from the same individuals in order to bridge modalities and inform the models, C) validate the models with data from multiple modalities (ECoG, fMRI, MEG/EEG, optical recordings) and brain systems (visual, somatosensory and motor), and D) make algorithms and data available to the neuroscience community to foster further development beyond the project's lifetime. Moreover, the research will foster reconciliation of different theories about the relation between electrophysiology and fMRI and will lead to `breakthroughs in understanding the dynamic activity of the human brain'. Such breakthroughs will be essential in improving disease models of the nervous system, which rely on inferences about neuronal population activity from non-invasive imaging of human brain activity.

IC Name
NATIONAL INSTITUTE OF MENTAL HEALTH
  • Activity
    R01
  • Administering IC
    MH
  • Application Type
    5
  • Direct Cost Amount
    917960
  • Indirect Cost Amount
    31789
  • Total Cost
    949749
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    242
  • Ed Inst. Type
  • Funding ICs
    NIMH:949749\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZMH1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    UNIVERSITY MEDICAL CENTER UTRECHT
  • Organization Department
  • Organization DUNS
    412934598
  • Organization City
    UTRECHT
  • Organization State
  • Organization Country
    NETHERLANDS
  • Organization Zip Code
    3508 GA
  • Organization District
    NETHERLANDS