Synaptic consolidation as a temporally variable process: Uncovering the parameters modulating its time-course.
Mirelle A Casagrande1, Josué Haubrich2, Lizeth K Pedraza1
1Laboratório de Neurobiologia da Memória, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; Graduate Program in Neuroscience, Institute of Health Sciences, 90.046-900, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Neurobiology of Learning and Memory
|March 9, 2018
Summary
Memory consolidation is dynamic, not static. Stronger training and context familiarity accelerate this process, shortening the window for memory interference.
Area of Science:
- Neuroscience
- Cognitive Science
- Behavioral Biology
Background:
- Memory formation requires a stabilization process called consolidation.
- The dynamic nature and modulating factors of memory consolidation remain largely unknown.
- Understanding consolidation is key to understanding memory persistence and susceptibility to interference.
Purpose of the Study:
- To investigate if learning parameters dynamically alter the time-course of memory consolidation.
- To identify factors that modulate the period memory is susceptible to retroactive interference.
- To explore the role of glucocorticoids and contextual familiarity in fear memory consolidation.
Main Methods:
- Utilized the rodent contextual fear conditioning paradigm.
- Compared weak and strong training protocols to assess consolidation time-courses.
- Administered metyrapone to block glucocorticoid effects and assessed post-training hippocampal inactivation.
Main Results:
- Stronger training protocols accelerated memory consolidation, shortening the window of susceptibility to hippocampal inactivation.
- Glucocorticoids mediated the accelerated consolidation observed with strong training.
- Pre-exposure to the training context also accelerated fear memory consolidation.
Conclusions:
- The time-course of memory consolidation is dynamic and influenced by learning intensity and contextual familiarity.
- Learning experiences directly affect the time window during which memories are vulnerable to interference.
- This study provides novel insights into the plasticity of memory consolidation processes.
More Related Videos
Related Concept Videos
Synaptic Signaling
79.8K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
79.8K
Synaptic Signaling
6.7K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
6.7K
Variability: Analysis
528
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
528
Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Graphs of Equations in Two Variables
273
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
273
Variables Affecting Phosphorescence and Fluorescence
1.5K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.5K


