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THE DYNAMICS OF LONG RANGE CORRELATIONS IN CORTEX: SINGLE UNITS AND OXYGEN

皮层中长程相关性的动力学：单个单元和氧气

基本信息

批准号：
9457753
负责人：
Lawrence H Snyder
金额：
$ 22.88万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-28 至 2019-09-27
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9457753
关键词：
Acute Address Animals Architecture Biological Neural Networks Brain Brain Injuries Calcium Signaling Caliber Cells Chronic Clinical Complex Data Development Diagnosis Disease Dyslexia Electrodes Electromagnetics Electrophysiology (science)Environment Fiber Frequencies Functional Magnetic Resonance Imaging Gold Human Individual Interneurons Knowledge Learning Skill Location Magnetic Resonance Imaging Measurement Measures Mental Depression Methods Microelectrodes Monkeys Mus Neurons Neurosciences Noise Optical Methods Oxygen Pathologic Pattern Play Polarography Primates Prosopagnosia Resolution Rest Role Sampling Shapes Signal Transduction Site Spatial Distribution Stimulus Structure System Testing Tissues Width Work awake base blood oxygen level dependent carbon fiber cell type clinical Diagnosis density design dynamic system executive function fascinate improved innovation insight millisecond miniaturize nonhuman primate novel novel strategies relating to nervous system response tool

项目摘要

ABSTRACT Resting state networks are a fascinating yet poorly understood phenomenon. Sets of spatially separated regions show correlated slow fluctuations in fMRI BOLD signals, most obvious when subjects are at rest. These networks appear to have clinical imporantance: brain injuries perturb resting state networks, and multiple clinical disorders, including depression, dyslexia and prosopagnosia, are associated with specific resting state network abnormalities. Resting state data are used to infer functional connections between regions, but little is known about how neuronal activity gives rise to these networks. Furthermore, despite much speculation, little is known about how resting network state might influence task-related neuronal activity. Understanding the reciprocal relationships between resting state networks and neural activity has the potential to revolutionize our understanding of brain function. The reason that a gap in our knowledge exists is primarily due to the fact that it is difficult to characterize resting state networks without being within an active MRI scanner, and difficult to record spikes from neurons in such an environment (and even more difficult to record from multiple cells at once in such an environment). Alternative methods most involve serial recording of resting state networks and neuronal activity, recording of lower frequency electrical signals (LFP), or the use of optical methods in mouse which provide a close but not exact surrogate of neuronal activity (e.g., calcium signals) and access only to the uppermost layers of cortex. We propose to develop an innovative method to address this issue: high density parallel recording and oxygen polarography using carbon fiber microwires widely dispersed across the cortex of an awake behaving non-human primate. We have already demonstrated long-range correlations using oxygen polarography recorded on standard size micro-electrodes, paired with standard unit-recording electrodes. These correlations resemble resting state phenomenon, but in order to capture and relate the dynamics of neural activity to the dynamics of resting state networks, much denser spatial sampling is required.

摘要