4.5 Article

New role for astroglia in learning: Formation of muscle memory

Journal

MEDICAL HYPOTHESES
Volume 79, Issue 6, Pages 770-773

Publisher

CHURCHILL LIVINGSTONE
DOI: 10.1016/j.mehy.2012.08.025

Keywords

-

Ask authors/readers for more resources

Muscle memory can be described as gradual adaptation of muscles over a period of time to perform a new movement or action. Its precise mechanism is unknown; however, it is now known that when a motor skill is learned it leads to significant brain activity. Astrocytes are the most abundant glial cell types in the CNS that play an associative active role with neurons in learning and memory. They are interconnected to neurons via gap junctions forming astroglial network for fast communication and synchronization. We hypothesize that astroglial cells play main role in the formation of muscle memory and evaluate it by the experimental evidence published so far that indicates role of astroglia on various cellular and molecular aspects of muscle memory. The basis of our hypothesis is the fact that during training or motor learning period, neuronal output data related to learning lead to certain specific pattern for stimulating target muscles over a period of time and partly these data are stored in astroglial network. This stored data fine tune glial parameters that affect synaptic space and neuronal output used to perform rapid motor actions. For the validation of our hypothesis, we have generated a computational model for a section of neural pathway with astroglial network and have shown that the astroglial network by using inhibitory and stimulatory neurotransmitters can generate certain patterns, modulate and balance synaptic space across the neural pathway during acquisition of muscle memory. (C) 2012 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Multidisciplinary

Local Features Analysis of On-Line Signature Using Modified Distance of DTW

Saeid Rashidi, Ali Fallah, Farzad Towhidkhah

INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS (2015)

Article Engineering, Biomedical

AN EFFICIENT HIERARCHICAL STRUCTURE FOR RECOGNITION OF THE REACHING MOVEMENTS IN 3D SPACE

Mona Farokhzadi, Ali Maleki, Ali Fallah, Farshad Almasganj, Saeid Rashidi

BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS (2016)

Article Neurosciences

A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet

Sara Abbaspour, Ali Fallah, Maria Linden, Hamid Gholamhosseini

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2016)

Article Engineering, Biomedical

LEARNING TO CONTROL THE THREE-LINK MUSCULOSKELETAL ARM USING ACTOR-CRITIC REINFORCEMENT LEARNING ALGORITHM DURING REACHING MOVEMENT

Ehsan Tahami, Amir Homayoun Jafari, Ali Fallah

BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS (2014)

Article Cell Biology

Mechanisms of hippocampal astrocytes mediation of spatial memory and theta rhythm by gliotransmitters and growth factors

Hossein Hassanpoor, Ali Fallah, Mohsin Raza

CELL BIOLOGY INTERNATIONAL (2014)

Article Health Care Sciences & Services

An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements

Maryam Mehdizadeh Dastjerdi, Ali Fallah, Saeid Rashidi

JOURNAL OF HEALTHCARE ENGINEERING (2019)

Article Biotechnology & Applied Microbiology

Efficient Sensitivity Based Reconstruction Technique to Accomplish Breast Hyperelastic Elastography

Maryam Mehdizadeh Dastjerdi, Ali Fallah, Saeid Rashidi

BIOMED RESEARCH INTERNATIONAL (2018)

Proceedings Paper Engineering, Electrical & Electronic

ECG based human authentication with using generalized hurst exponent

Fatemeh Parastesh Karegar, Ali Fallah, Saeid Rashidi

2017 25TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Shrinkage Estimator based Common Spatial Pattern for Multi-Class Motor Imagery Classification by Hybrid Classifier

Mohammadreza Edalati Sharbaf, Ali Fallah, Saeid Rashidi

2017 3RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (IPRIA) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

EEG-Based Multi-Class Motor Imagery Classification Using Variable Sized Filter Bank and Enhanced One Versus One Classifier

Mohammadreza Edalati Sharbaf, Ali Fallah, Saeid Rashidi

2017 2ND CONFERENCE ON SWARM INTELLIGENCE AND EVOLUTIONARY COMPUTATION (CSIEC) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Using recurrence quantification analysis and generalized hurst exponents of EeG for human authentication

Fatemeh Parastesh Karegar, Ali Fallah, Saeid Rashidi

2017 2ND CONFERENCE ON SWARM INTELLIGENCE AND EVOLUTIONARY COMPUTATION (CSIEC) (2017)

Proceedings Paper Engineering, Electrical & Electronic

Improved FEG based human authentication system on large dataset

Sarineh Keshishzadeh, Ali Fallah, Saeid Rashidi

2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) (2016)

Proceedings Paper Engineering, Electrical & Electronic

The Extraction of Time-Varying Muscle Synergies During Hand-Reaching Movement With a K-Means Assisted Approach

Payman Azaripasand, Ali Maleki, Ali Fallah

2015 23RD IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) (2015)

Proceedings Paper Engineering, Multidisciplinary

Classification of ADLs Using Muscle Activation Waveform Versus Thirteen EMG Features

Payman Azaripasand, Ali Maleki, Ali Fallah

2015 22ND IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING (ICBME) (2015)

Proceedings Paper Engineering, Multidisciplinary

Detection of Lesions in Soft Tissues Based on Nonlinear Constitutive Model

Maryam Mehdizadeh Dastjerdi, Ali Fallah, Saeid Rashidi

2015 22ND IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING (ICBME) (2015)

Article Medicine, Research & Experimental

Alleviating morphine-induced itching while sustaining its analgesic efficacy: Esketamine as a potential co-administrating choice

Tong Cheng, Zhusheng Chen, Yibin Qin, Xiang Zhu, Hongsheng Chen, Zhongling Xu, Xiaqing Ma

Summary: Morphine is commonly used and effective for pain relief, but its side effect of itching limits its clinical use. This paper discusses the potential of using esketamine to treat morphine-induced itching.

MEDICAL HYPOTHESES (2024)

Article Medicine, Research & Experimental

Hyperbaric oxygen therapy as a possible therapeutic candidate for sepsis-associated encephalopathy: A novel hypothesis

Sung Eun Lee, Eunjung Park, Ji-yun Kim, HyukHoon Kim

Summary: Hyperbaric oxygen therapy (HBOT) is a potential therapeutic modality that has been recognized for its favorable mechanisms in various diseases, including sepsis-associated encephalopathy (SAE). HBOT has neuroprotective effects through its anti-inflammatory and antiapoptotic effects as well as increased tissue oxygenation capacity. However, there are caveats and limitations in applying HBOT in sepsis.

MEDICAL HYPOTHESES (2024)