How does brain plasticity work




















As each neuron develops connections to others, this results in growing clusters of cells. The neurons can adjust the level or strength of signal with connecting neurons. This ongoing process provides fine-tuning of the neural architecture. Rewiring larger regions, reorganizing the nervous system at multiple levels.

Neurons work together at several different levels. Not only individual cells, but even clumps within brain regions can grow in greater or lower density. As cells grow or die in different regions, the relative densities vary. Such variations can provide an even broader adjustment or neuroplasticity in the brain than individual nerve cell connections. When nerve bundles become broken, through injury or surgery, the brain can regrow these elements Doidge, Surprisingly, the brain can reconnect itself in an efficient manner even to deal with sizable upsets.

It operates like a plant, able to regrow around lost parts. Gradually, the repairs extend through subcortical layers, reaching larger-scale cortical levels of the brain. This growth occurs throughout the nervous system, including the spine and distributed branches, not only in the brain. Recurring synaptic connections grow more efficient cell assembly theory. The nerve connections grow stronger when one cell fires before the other, rather than when they both fire simultaneously.

Sequential firing produces a causal relationship, enabling the nervous system to learn. As a comparison, internet search engines track which sites link directly to which other sites. The combined directional links of billions of sites produce an efficient map of the internet, as the combined directional links of billions of neurons produce an efficient map of the body and its environment. The famous study by Maguire et al. She studied 16 London taxi drivers and found an increase of the volume of grey matter in the posterior hippocampus compared to a control group.

This area of the brain is involved in short-term memory and spatial navigation. Further support comes from Mechelli et al who found that learning a second language increases the density of grey matter in the left inferior parietal cortex and that the degree of structural reorganization in this area is influenced by the fluency attained and the age at which the second language was learnt. With age, neuroplasticity decreases however Mahncke et al.

This has potential benefits for society as a brain-plasticity-based intervention targeting normal age-related cognitive decline may delay the time when these people need support in their everyday life. Learning and new experiences cause new neural pathways to strengthen whereas neural pathways which are used infrequently become weak and eventually die. Thus brains adapt to changing environments and experiences. Thus, the complex cognitive demands involved in mastering video games caused the formation of new synaptic connections in brain sites controlling spatial navigation, planning, decision-making, etc.

Davidson matched 8 experienced practitioners of Tibetan Buddhist meditation against 10 participants with no meditation experience. Levels of gamma brain waves were far higher in the experienced meditation group both before and during meditation.

Gamma waves are associated with the coordination of neural activity in the brain. This implies that meditation can increase brain plasticity and cause permanent and positive changes to the brain. Kempermann found that rats housed in more complex environments showed an increase in neurons compared to a control group living in simple cages. Changes were particularly clear in the hippocampus — associated with memory and spatial navigation.

A similar phenomenon was shown in a study of London taxi drivers. MRI scans revealed that the posterior portion of the hippocampus was significantly larger than a control group, and the size of difference was positively correlated with the amount of time spent as a taxi driver i. Neuroplasticity can explain a broad range of facts about the structure and function of the brain. This notion does, however, have some constraints.

These involve the gradual decline of neuroplasticity with age, as well as certain restrictions in terms of how much neural plasticity is possible even in young, healthy people. Also, scientists have yet to learn many critical aspects about neuroplasticity. The limits of brain plasticity decline with age, biological constraints. Neuroplasticity can only go so far. Non-human animals show many areas of brain plasticity.

However, their brains cannot reshape themselves enough to learn a human language or perform advanced mathematics. Neuroplasticity works on biologically available material, which imposes limitations like only adjusting the specific neural substrate of a cognitive function, or adapting a brain function somewhat for a season. In people whose brains reuse large regions for different operations, such as blind people whose vision centers become useful for touch or sound, this capacity can only work for specific types of processing.

Even people blind from birth would not become able to reuse their color-detection brain cells for touch, because unlike geometry-detection brain cells, these have hard-coding for visual input Grafman, Even in healthy individuals, neuroplasticity declines with age Lu et al.

Over the years, as the body becomes less flexible, so does the brain. Much of neuroplasticity is geared towards enabling younger people to develop an understanding and capacity to act within their surroundings. This stabilizes to some extent in adulthood, even declining in the elderly. One can see the decline of neuroplasticity in how older people become more fixed in their ways, while younger people learn rapidly.

Neuroplasticity has grown over recent centuries into a topic of considerable interest to scientists, but remains poorly understood. The brain imaging tools for conducting studies on this topic are still young. Therefore, the study of synaptic plasticity has clear consequences that reach beyond the research environment. Increasing our understanding of how learning and memory processes are modified during development, and of how the brain modifies its activity and recovers after damage, should be considered in some depth by policy makers.

In the light of the above, such efforts are likely to provide social benefits in the spheres of Healthcare and Education, thereby aiding long-term socio-economic planning. All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Abraham, W. Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. Abrahamsson, T. Differential regulation of evoked and spontaneous release by presynaptic NMDA receptors. Neuron 96, — Allen, N. Glia as architects of central nervous system formation and function. Science , — Andrade-Talavera, Y. Presynaptic spike timing-dependent long-term depression in the mouse hippocampus.

Cortex 26, — Berlucchi, G. The origin of the term plasticity in the neurosciences: ernesto lugaro and chemical synaptic transmission. Neuronal plasticity: historical roots and evolution of meaning. Brain Res. Bouvier, G. Towards resolving the presynaptic NMDA receptor debate. Citri, A. Synaptic plasticity: multiple forms, functions and mechanisms. Neuropsychopharmacology 33, 18— Costa, R. Functional consequences of pre- and postsynaptic expression of synaptic plasticity.

B Biol. Cramer, S. Harnessing neuroplasticity for clinical applications. Brain , — DeFelipe, J. Brain plasticity and mental processes: cajal again. Dore, K. The emergence of NMDA receptor metabotropic function: insights from imaging. Synaptic Neurosci. Unconventional NMDA receptor signaling. Engert, F. Dendritic spine changes associated with hippocampal long-term synaptic plasticity.

Nature , 66— Hebb, D. New York, NY: Wiley. Google Scholar. Hensch, T. Critical period regulation. So after the experiments the team dissected the brain tissues containing the dendrites of manipulated and control neurons and shipped them to co-authors at the Ecole Polytechnique Federal de Lausanne in Switzerland. They performed a specialized, higher-resolution, 3-D electron microscope imaging, confirming that the structural differences seen under the two-photon microscope were valid. When that happens synapses in neurons related to the closed eye weaken and synapses related to the still open eye strengthen.

Then when they reopened the previously closed eye, the synapses rearrange again. They tracked that action, too, and saw that as synapses strengthen, their immediate neighbors would weaken to compensate. Having seen the new rule in effect, the researchers were still eager to understand how neurons obey it. The protein Arc regulates AMPA receptor expression, so the team realized they had to track Arc to fully understand what was going on. The problem, Sur said, is that no one had ever done that before in the brain of a live, behaving animal.

So the team reached out to co-authors at the Kyoto University Graduate School of Medicine and the University of Tokyo, who invented a chemical tag that could do so. Using the tag, the team could see that the strengthening synapses were surrounded with weakened synapses that had enriched Arc expression. Sur says the study therefore solves a mystery of Arc: No one before had understood why Arc seemed to be upregulated in dendrites undergoing synaptic plasticity, even though it acts to weaken synapses, but now the answer was clear.

Strengthening synapses increase Arc to weaken their neighbors. Sur added that the rule helps explain how learning and memory might work at the individual neuron level because it shows how a neuron adjusts to the repeated simulation of another.

During normal brain development when the immature brain first begins to process sensory information through adulthood developmental plasticity and plasticity of learning and memory. FACT 4 : The environment plays a key role in influencing plasticity. In addition to genetic factors, the brain is shaped by the characteristics of a person's environment and by the actions of that same person.

Developmental Plasticity: Synaptic Pruning Gopnick et al. Following birth, the brain of a newborn is flooded with information from the baby's sense organs. This sensory information must somehow make it back to the brain where it can be processed. To do so, nerve cells must make connections with one another, transmitting the impulses to the brain.

Continuing with the telephone wire analogy, like the basic telephone trunk lines strung between cities, the newborn's genes instruct the "pathway" to the correct area of the brain from a particular nerve cell. For example, nerve cells in the retina of the eye send impulses to the primary visual area in the occipital lobe of the brain and not to the area of language production Wernicke's area in the left posterior temporal lobe.

The basic trunk lines have been established, but the specific connections from one house to another require additional signals. Over the first few years of life, the brain grows rapidly. As each neuron matures, it sends out multiple branches axons, which send information out, and dendrites, which take in information , increasing the number of synaptic contacts and laying the specific connections from house to house, or in the case of the brain, from neuron to neuron.

At birth, each neuron in the cerebral cortex has approximately 2, synapses. By the time an infant is two or three years old, the number of synapses is approximately 15, synapses per neuron Gopnick, et al. This amount is about twice that of the average adult brain. As we age, old connections are deleted through a process called synaptic pruning. Synaptic pruning eliminates weaker synaptic contacts while stronger connections are kept and strengthened. Experience determines which connections will be strengthened and which will be pruned; connections that have been activated most frequently are preserved.

Neurons must have a purpose to survive.



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