使用网络控制理论研究结构连接组的动态
Linden Parkes1,2,3, Jason Z Kim4, Jennifer Stiso1
1Department of Bioengineering, University of Pennsylvania, PA 19104, USA.
bioRxiv : the preprint server for biology
|September 4, 2023
概括
网络控制理论 (NCT) 为了解大脑结构如何影响神经动力学提供了一个框架. 这项研究详细介绍了将NCT应用于人类连接体,以预测所需大脑状态的控制信号.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 网络控制理论 (NCT) 提供了一种强大的方法,将网络拓与系统动态联系起来.
- 现有的结构功能合方法往往缺乏对外部控制信号的预测能力.
- 人类结构连接体呈现出一个复杂的网络,易于NCT分析.
研究的目的:
- 提出一个全面的框架,用于将NCT应用于人类结构连接器.
- 详细说明计算控制能量和平均可控制性的方法.
- 提供与零模型和经验数据相对应的NCT发现的验证指南.
主要方法:
- 对人类结构连接体的NCT的应用.
- 对状态转换的控制能量的计算.
- 计算节点智能控制能力的平均可控性.
- 开发Python包"nctpy"用于实际实施.
主要成果:
- 证明了连接组拓如何影响神经动力学.
- 经验证的NCT预测与实证大脑功能和刺激数据对比.
- 展示了与行为和心理健康相关的NCT输出中的发育变化.
结论:
- NCT为理解大脑网络控制提供了一个强大的框架.
- 开发的协议和软件有助于研究大脑动态和控制.
- 研究结果提供了对行为和临床条件背后的神经机制的见解.
更多相关视频
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
10.2K
08:36Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Published on: March 21, 2019
7.3K
相关概念视频
Neuroplasticity
560
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
560
Assembly of Complex Microtubule Structures
1.9K
Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
1.9K
Protein Networks
4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Neural Circuits
1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Neuronal Communication
1.0K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
1.0K
Network Function of a Circuit
319
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
319
