Secondary analysis of resting state MEG data using the Human Neocortical Neurosolver software tool for cellular and circuit-level interpretation

使用 Human Neocortical Neurosolver 软件工具对静息态 MEG 数据进行二次分析,以进行细胞和电路级解释

基本信息

  • 批准号:
    10505661
  • 负责人:
  • 金额:
    $ 117.36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-01 至 2025-07-31
  • 项目状态:
    未结题

项目摘要

Project Summary The neuroscience community is experiencing a revolution in its ability to share and analyze vast amounts of human brain imaging data, with support from the BRAIN Initiative and other substantial data-sharing efforts. One domain in which there has been significant open access progress is Magnetoencephalography (MEG), where data is available from hundreds of subjects during resting states and various behavioral conditions. While MEG (and EEG) provide biomarkers of healthy and abnormal brain dynamics with fine temporal resolution, these macroscopic scale signals have lacked interpretability at the underlying cellular and circuit level. This difficulty limits translation of M/EEG into mechanistic theories of information processing, or into new diagnostic methods and treatments that target e.g., specific cell types. To address this need, with support from the BRAIN initiative, we developed an open-source neural modeling software designed for circuit level interpretation of M/EEG data, the Human Neocortical Neurosolver (HNN), which is now freely available (https://hnn.brown.edu). The utility of this new tool can be best demonstrated by application to large-scale data, where theories on the neural mechanisms underlying reproducible MEG signals, such as resting state oscillations, and changes in these signals across subjects can be developed. We propose to re-analyze open-access MEG data with a focus on identifying stereotypical time-domain waveforms during resting state oscillations and variability across subjects (Aim 1), and to apply the HNN software tool to develop biophysically-constrained hypothesis on the underlying cellular and circuit generators of these waveforms and their variability (Aim 2). The application here focusses on quantifying and interpreting changes in sensorimotor resting state oscillations across developmental trajectories in adults (18-88yrs). This example case will provide the foundation for the ultimate goal of this project, which is to develop a framework in which the wealth of open-source M/EEG data can be harnessed to define stereotypical waveform shapes in MEG/EEG signals and quantifiable shape differences across groups. These waveforms can then be imported into HNN for biophysically constrained predictions on circuit mechanisms that generate individual subject data and group differences. This framework has the potential to transform M/EEG from being purely diagnostic to providing targeted treatment strategies to improve brain function.
项目总结

项目成果

期刊论文数量(0)
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STEPHANIE Ruggiano JONES其他文献

STEPHANIE Ruggiano JONES的其他文献

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{{ truncateString('STEPHANIE Ruggiano JONES', 18)}}的其他基金

Dissemination of the Human Neocortical Neurosolver (HNN) software for circuit level interpretation of human MEG/EEG
传播用于人类 MEG/EEG 电路级解释的人类新皮质神经解算器 (HNN) 软件
  • 批准号:
    10726032
  • 财政年份:
    2023
  • 资助金额:
    $ 117.36万
  • 项目类别:
CRCNS: US-Spain Research Proposal: Interpreting MEG Biomarkers of Alzheimer's Progression with Human Neocortical Neurosolver
CRCNS:美国-西班牙研究提案:用人类新皮质神经解算器解释阿尔茨海默病进展的 MEG 生物标志物
  • 批准号:
    10396139
  • 财政年份:
    2021
  • 资助金额:
    $ 117.36万
  • 项目类别:
CRCNS: US-Spain Research Proposal: Interpreting MEG Biomarkers of Alzheimer's Progression with Human Neocortical Neurosolver
CRCNS:美国-西班牙研究提案:用人类新皮质神经解算器解释阿尔茨海默病进展的 MEG 生物标志物
  • 批准号:
    10616791
  • 财政年份:
    2021
  • 资助金额:
    $ 117.36万
  • 项目类别:
CRCNS: US-Spain Research Proposal: Interpreting MEG Biomarkers of Alzheimer's Progression with Human Neocortical Neurosolver
CRCNS:美国-西班牙研究提案:用人类新皮质神经解算器解释阿尔茨海默病进展的 MEG 生物标志物
  • 批准号:
    10474580
  • 财政年份:
    2021
  • 资助金额:
    $ 117.36万
  • 项目类别:
Integrated brain network and cell-circuit models of slow network fluctuations
慢网络波动的集成脑网络和细胞电路模型
  • 批准号:
    10639547
  • 财政年份:
    2017
  • 资助金额:
    $ 117.36万
  • 项目类别:
Project 5 The causal role of neocortical beta events in human sensory perception
项目 5 新皮质β事件在人类感官知觉中的因果作用
  • 批准号:
    10246478
  • 财政年份:
    2013
  • 资助金额:
    $ 117.36万
  • 项目类别:
Neurodynamics of Attention: MEG, EEG, and Modeling
注意力的神经动力学:MEG、EEG 和建模
  • 批准号:
    7338374
  • 财政年份:
    2005
  • 资助金额:
    $ 117.36万
  • 项目类别:
Neurodynamics of Attention: MEG, EEG, and Modeling
注意力的神经动力学:MEG、EEG 和建模
  • 批准号:
    7196454
  • 财政年份:
    2005
  • 资助金额:
    $ 117.36万
  • 项目类别:
Neurodynamics of Attention: MEG, EEG, and Modeling
注意力的神经动力学:MEG、EEG 和建模
  • 批准号:
    7012319
  • 财政年份:
    2005
  • 资助金额:
    $ 117.36万
  • 项目类别:
Neurodynamics of Attention: MEG, EEG, and Modeling
注意力的神经动力学:MEG、EEG 和建模
  • 批准号:
    7558525
  • 财政年份:
    2005
  • 资助金额:
    $ 117.36万
  • 项目类别:

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