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

开发和验证非侵入性人脑测量中神经元群活动的经验模型

基本信息

批准号：
9975889
负责人：
Orrin Devinsky
金额：
$ 75.07万
依托单位：
UNIVERSITY MEDICAL CENTER UTRECHT
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-22 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9975889
关键词：
Address Algorithms Animal Experimentation Animal Model Animals Back Behavior Blood Vessels Brain Brain region Caliber Characteristics Collection Communities Complex Computer Models Data Development Disease Disease model Electrodes Electroencephalography Electrophysiology (science)Event Fostering Functional Imaging Functional Magnetic Resonance Imaging Goals Hemodynamic Phenomena Human Human Activities Image Imaging Techniques Individual Learning Link Measurement Measures Metabolic Methods Microscopic Modality Modeling Motor Motor Cortex Nervous system structure Neurons Neurosciences Optics Patients Pattern Perception Phase Physiology Population Positioning Attribute Property Research Resolution Rodent Scalp structure Scientist Sensory Series Signal Transduction Software Tools Somatosensory Cortex Specialist Stimulus Sum System Tactile Technology Testing Time Tissues Translating Validation Visual Visual Cortex Work base brain cell capillary bed crosslink density experimental study falls functional magnetic resonance imaging/electroencephalography hemodynamics human imaging improved insight instrument intraoperative optical imaging mathematical model model development multimodal data multimodality neuroimaging neuronal circuitry neurotransmission non-invasive imaging optical imaging receptive field response sensory cortex sensory input sensory stimulus sensory system somatosensory spatiotemporal theories tool volunteer

项目摘要

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.

项目摘要/摘要

项目成果

期刊论文数量（26）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Moving in on human motor cortex. Characterizing the relationship between body parts with non-rigid population response fields.

DOI：
10.1371/journal.pcbi.1009955
发表时间：
2022-04
期刊：
PLoS computational biology
影响因子：
4.3
作者：
通讯作者：

FMRI and intra-cranial electrocorticography recordings in the same human subjects reveals negative BOLD signal coupled with silenced neuronal activity.

DOI：
10.1007/s00429-021-02342-4
发表时间：
2022-05
期刊：
BRAIN STRUCTURE & FUNCTION
影响因子：
3.1
作者：
Fracasso, Alessio;Gaglianese, Anna;Vansteensel, Mariska J.;Aarnoutse, Erik J.;Ramsey, Nick F.;Dumoulin, Serge O.;Petridou, Natalia
通讯作者：
Petridou, Natalia

Laminar processing of numerosity supports a canonical cortical microcircuit in human parietal cortex.

数量的层流处理支持人类顶叶皮层中的典型皮层微电路。