Beatrice Lang
The brain's electrical activity is a complex process that involves the interaction of neurons and electric fields. Neurons, or nerve cells, are the fundamental units of the nervous system, transmitting information through electrical and chemical signals. Electric fields, on the other hand, are regions of space where charged particles experience a force, and they play a crucial role in information representation and memory. While neurons are essential for cognitive functions, they exhibit representational drift, meaning their individual activity varies even when performing the same task. This inconsistency has led scientists to explore electric fields as a more reliable source of information. The question then arises: are the electric forces in neurons attractive or repellent?
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What You'll Learn
- Electric fields are more reliable for information than neurons
- Neuronal excitability is controlled by electric current
- Electric activation of neuronal tissue depends on the interaction between the neuron and the electric field
- Electrostatic force can be responsible for attraction or repulsion
- Coulomb's law calculates the force between two electrically charged particles
Electric fields are more reliable for information than neurons
On the other hand, electric fields provide a more stable and consistent signal of the information being processed or remembered. In a study conducted by researchers at MIT and the University of London, it was found that the overall electric field generated by neurons provided a stable and consistent signal of the information the animals were tasked to remember. This suggests that the electric field, or the "conductor", is more important than the individual neurons, or the "musicians" in an orchestra.
The study used a combination of direct measurements of neural activity and subsequent mathematical analysis to isolate and estimate the electric fields associated with a working memory game. By determining which neurons were working together and cohesively to perform the task, the researchers could determine their connectivity and information flow. This allowed them to calculate the electric field being produced by the neurons.
The estimated electric fields exhibited properties that demonstrated they represented the information the animals were holding in memory. They were more consistent than underlying neural activity, especially when the direction to be remembered was the same. Additionally, when a "decoder" software was trained to guess the direction the animals were holding in mind, it was better able to do so based on the electric fields than on neural activity. This suggests that electric fields offer a more reliable representation of information in the brain.
Overall, electric fields provide a more holistic and abstract level of information representation and integration than individual neurons. They allow the brain to operate at a higher level, even as details encoded by single neurons or circuits drift. This ensures that the brain can still function even if some neurons die, as the electric field can remain the same and produce the same output.
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Neuronal excitability is controlled by electric current
Neuronal excitability is a central concept in neuroplasticity, referring to the propensity of a neuron to fire action potentials when stimulated. This is influenced by the expression, localisation, and kinetics of voltage- and calcium-dependent channels, as well as the membrane properties and morphology of dendrites and axons. While electric forces can be either attractive or repulsive, the concept of neuronal excitability is more closely tied to the movement of charged particles and the electric fields they generate.
The brain uses electric fields to represent information held in working memory, and these fields have been found to be more reliable and stable than direct measures of neural activity. Electric fields may be influenced by the inconsistent participation of individual neurons, but they still provide a more consistent representation of information. This phenomenon is known as "representational drift".
The excitability of neurons is also linked to the broader concept of synaptic plasticity, which refers to the self-monitoring and self-regulation capabilities of the central nervous system. Synapses, once thought to be fixed, have been proven to be plastic, adapting to environmental conditions by reacting to neurotransmitters. This process can strengthen or weaken neuronal activity, and abnormalities in the control of this synchrony have been associated with disorders such as epilepsy, depression, autism spectrum disorders, and schizophrenia.
Research has also identified a molecular signalling feedback pathway that is critical to understanding epilepsy. By pharmacologically stimulating neuronal activity, researchers found that an enzyme (Mdm2) is triggered to degrade a transcription factor, p53, which normally suppresses an epilepsy-associated gene. When p53 is inhibited, seizure susceptibility is reduced, highlighting a specific molecular regulatory feedback loop controlling neuronal excitation in a healthy state.
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Electric activation of neuronal tissue depends on the interaction between the neuron and the electric field
Electric activation of neuronal tissue is dependent on the interaction between the neuron and the electric field. In laboratory research and clinical practice, externally applied electric fields have been widely used to control neuronal activity. Neuronal excitability is controlled by an electric current that depolarizes or hyperpolarizes the excitable cell membrane. The amount of polarization is determined by the frequency, amplitude, and direction of the electric currents.
Research on the mechanisms of electric stimulation focuses on the optimal control of field properties to improve stimulation outcomes. Emerging evidence from modeling and experimental studies supports the existence of interactions between the targeted neurons and the externally applied electric fields. With cell-field interaction, a two-way process is suggested. When a neuron is positioned inside an electric field, the electric field will induce a change in the resting membrane potential by superimposing an electrically induced transmembrane potential (ITP). At the same time, the electric field can be perturbed and redistributed by the cell. This cell-field interaction may play a significant role in the overall effects of stimulation.
The redistributed field can cause secondary effects on neighboring cells by altering their geometrical pattern and amount of membrane polarization. Neurons excited by the externally applied electric field can also affect neighboring cells by ephaptic interaction. Both aspects of the cell-field interaction depend on the biophysical properties of the neuronal tissue, including the geometric and electric attributes of the cells. The geometrical property of the cell causes external field redistribution. Numerical modeling results have shown that membrane conductivity affects the field distribution around and within an intact singular cell. The intracellular field increases as membrane resistance decreases and is dependent on cell radius and membrane thickness.
During electroporation, transit pore formation can change the direction of the field distribution and electric driving force near the pore, thus decreasing the magnitude of the electric field proximal to the poles. Therefore, alteration in cellular structure can change the field distribution around the cell. Field distribution in the neuronal tissue also depends heavily on the electrical properties of the target tissue under electric stimulation. Electric fields may represent information held in working memory, allowing the brain to overcome "representational drift," or the inconsistent participation of individual neurons.
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Electrostatic force can be responsible for attraction or repulsion
Electrostatic forces play a crucial role in the behavior of charged particles, determining whether they attract or repel each other. This behavior is described by Coulomb's law, an experimental law of physics formulated by French physicist Charles-Augustin de Coulomb in 1785. Coulomb's law states that the magnitude of the attractive or repulsive electrostatic force between two charged particles is directly proportional to the product of their charges and inversely proportional to the square of the distance between them. In simpler terms, the greater the charges of the particles and the closer they are to each other, the stronger the electrostatic force between them.
The polarity of the charges determines whether this electrostatic force results in attraction or repulsion. If the charges have the same sign, meaning both are positive or both are negative, the electrostatic force between them will be repulsive, causing the particles to push away from each other. On the other hand, if the charges have different signs, with one positive and the other negative, the electrostatic force will be attractive, pulling the particles toward each other. This behavior is analogous to gravitational forces, which always attract, but electrostatic forces can be either attractive or repulsive, depending on the charges involved.
The concept of electrostatic force is not limited to individual particles but also applies to more complex systems, such as nanoparticles and colloids. For example, in the case of nanoparticles surrounded by double-layer electric charges, the electrostatic repulsive force between the particles contributes to what is known as electrostatic stabilization. This stabilization effect is influenced by the distribution of charges on the nanoparticle surfaces, with a higher surface charge density leading to a stronger repulsive force. Additionally, the presence of van der Waals forces, which are primarily attractive, further complicates the interactions between particles.
The understanding of electrostatic forces and their ability to attract or repel has practical applications in various fields. For instance, in the context of neurons and electric fields, the interaction between externally applied electric fields and neurons can induce changes in the resting membrane potential of the neurons. This cell-field interaction is a two-way process, where the electric field affects the neuron, and the neuron can, in turn, perturb and redistribute the electric field. This interplay has implications for controlling neuronal activity and understanding the effects of electric stimulation.
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Coulomb's law calculates the force between two electrically charged particles
Coulomb's law, or Coulomb's inverse-square law, is a mathematical description of the electric force between charged objects. It was formulated by the 18th-century French physicist Charles-Augustin de Coulomb and published in 1785. Coulomb's law is an experimental law of physics that calculates the amount of force between two electrically charged particles at rest. This electric force is also called the electrostatic force or Coulomb force.
Coulomb's law states that the magnitude of the attractive or repulsive electrostatic force between two point charges is directly proportional to the product of the magnitudes of their charges and inversely proportional to the square of the distance between them. This means that if the distance between the two charges is doubled, the force between them becomes four times weaker. On the other hand, if the charges come ten times closer, the force increases by a factor of 100. The size of the force is proportional to the value of each charge. The unit used to measure this charge is the coulomb (C).
Coulomb's law can be used to gain insight into the form of the magnetic field generated by moving charges. It can be assumed for any test particle in its own inertial frame, supported by symmetry arguments in solving Maxwell's equation. Coulomb's law can also be expanded to moving test particles, and it serves as the basis for the Lorentz force law. By considering the charge to be invariant to the observer, the electric and magnetic fields of a uniformly moving point charge can be derived using the Lorentz transformation.
Coulomb's law also shows that oppositely charged bodies attract according to an inverse-square law. The force is along the straight line joining the two charges. If the charges have the same sign, they repel each other; if they have different signs, they attract. This behaviour is similar to Isaac Newton's inverse-square law of universal gravitation, but with a key difference: gravitational forces always attract, while electrostatic forces can make charges attract or repel. Additionally, gravitational forces are much weaker than electrostatic forces.
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Frequently asked questions
An electric force is the force between two electrically charged particles at rest.
The magnitude of the electric force is directly proportional to the product of the charges and inversely proportional to the square of the distance between them. If the charges have the same sign, the electric force makes them repel; if they have different signs, the force makes them attract.
Neuronal excitability is controlled by an electric current that depolarizes or hyperpolarizes the excitable cell membrane. When a neuron is positioned inside an electric field, the electric field will induce a change in the resting membrane potential.
