Practice makes perfect: Dendritic Pruning & LTP

Dendritic trees

It was about two years ago today, when I began to get a clearer picture of how the cells of the brain physically change as a result of our thoughts, experiences and actions. The mind is a result of a network of billions of individual brain cells, neurons, that exchange information with each other; much of the communication between neurons occurs through structures known as dendrites. These tree-like structures emerge from the main body of a neuron, the tips of each branch exchanging information with other neurons. As we develop habits & recurring thoughts, the neurons who communicate the most with each other begin to strengthen the dendritic branches that connect them. Simultaneously, the connections between neurons who don’t often speak with one another begins to atrophy, the dendrites start to prune themselves. These processes together encompass the much larger idea of neuroplasticity, the idea that our brain physically changes and adapts.

Dendritic Pruning

One of the best examples of this concept can be seen when drendritic trees of young mammals are compared with adults, we see extensive branching on the younger brains relative to the adults, supporting the idea that with experience unused connections are pruned off. One proposed mechanism by which the brain is capable of such adaptability is long term potentiation (LTP). The speed of neural communication is largely attributed to the electro-chemical nature of the transmission, allowing for large chunks of information to be rapidly shared across networks of millions of cells every second. LTP is a specific pattern of signaling between neurons where hundreds of bursts of electrical currents of a particular frequency are sent between two neurons; resulting in enhanced communication between the two neurons and strengthening of the dendrites involved, from that point onward. There’s a decent amount of speculation currently, looking to LTP as the mechanism by which our neurons prune their dendritic trees. What this means for you & me: the more we repeat an action or thought, the more the neurons involved in that process communicate with one other, resulting in a streamlining & strengthening of the connections between them; by the same token, routine will cause the number of neurons who can communicate with each other to degrade, possibly limiting what we can learn and understand as we age.

A: Neuron of Child | B: Neuron of Adult

More than ever before, we can observe how our physical minds change as a result of our actions and have a measurable candidate for the mechanism behind this adaptability. If the 20th century belonged to physics, the last several decades to genomics, it may not be a stretch to see the recent future of science be dominated with answering the questions of neuroplasticity and our minds as a physical structure.

Citations:
Yi Zuo, Guang Yang, Elaine Kwon & Wen-Biao Gan (2005). Long-term sensory deprivation prevents dendritic spine loss in primary somatosensory cortex Nature, 436 : 10.1038/nature0371
Kelly D. Hartle, Matthew S. Jeffers, Tammy L. Ivanc (2010). Changes in dendritic morphology and spine density in motor cortex of the adult rat after stroke during infancy. Synapse, 9999 (9999A) : 10.1002/syn.20767
Daniel McGowan (2006). Pruning processes Nature Reviews Neuroscience : 10.1038/nrn1997

5 Comments

Filed under Neurophysiology, Neuroscience

BOLD fMRI, a clear new view of the brain

Hemoglobin carries the oxygen to our cells, which use it as energy. Our neurons use incredible amounts of energy when they fire electrical currents, which create our thoughts, actions, memories and senses. When a neuron fires, it takes up large amounts of oxygen from nearby hemoglobin molecules. As oxygen leaves it causes a change in the iron-rich structure of hemoglobin, which can be detected by Magnetic Resonance Imaging.

Blood-oxygen-level dependent fMRI allows us to see where in the brain oxygen is being consumed, correlating it with nearby neurons firing. This allows us now to literally map the brain based on activity. Which part of the brain is active during certain thoughts? Memories? Motor actions? BOLD fMRI can and has answered many of these questions. Contemporary studies with this technology has touched the edge of what we once thought possible, from algorithms that can scan our brains to guess what our eyes are seeing; to showing how meditation decreases the number of neurons firing in random areas of the mind.  As we begin to settle into a comfortable pace of understanding and uncovering the functions of the brain in-terms of neurotransmitters and receptors, functional imaging of the mind provides a new horizon of understanding the mind as a complete neural network.

Citation:
Aguirre, G. (2002). Experimental Design and the Relative Sensitivity of BOLD and Perfusion fMRI NeuroImage, 15 (3), 488-500 DOI: 10.1006/nimg.2001.0990
Kay KN, Naselaris T, Prenger RJ, & Gallant JL (2008). Identifying natural images from human brain activity. Nature, 452 (7185), 352-5 PMID: 18322462

1 Comment

Filed under Neuroimaging, Neurophysiology, Neuroscience

Industry & Academia, part 1

The biotech, pharmaceutical and life sciences industry poses an interesting conundrum. How do we industrialize a profession of problem solving? From experience, I can say some have done it well, while others have treated the life sciences like a traditional industry. Much of the novel molecules which lead to profitable drugs often have their beginnings in academic research. Here a molecule or procedure showing promise is quickly gobbled up by an industrial giant, with very fair compensations of course. In academic research labs problem solving can bee seen to take a two-pronged approach. The first is collecting and presenting data which will ensure future and continued monetary funding. The second and more important aspect, is everyone in the lab understanding their individual projects from the bottom-up; to understand the basic concepts of nature which are guiding the protocols of an experiment. And it is at this where industry shows it’s largest short-coming. Departmentalizing work within a single project causes individuals to differ responsibility of the overall project success. This creates a lack of vigilance, people let flaws in experimental design slip by, those whose experience can best help troubleshoot aren’t even asked. The biotech industry isn’t young and fledgling anymore and allowing it to be run through the lens of a traditional business will do little to assure future success.

Leave a Comment

Filed under Uncategorized

A Breakdown of a Groundbreaking Article

Finding treatments for Parkinson’s disease helps more than just those afflicted with the illness. The mere act of studying the disorder and looking for a cure has increased mans understanding of the physiological structure of the brain and it’s relation to movement of the body.

This article by Kim et al, was published in Nature, vol 418. These researchers are interested in deriving dopamine neurons from embryonic stem cells (ES cells);   Parkinson’s disease is caused by the loss of neurons that produce dopamine.

Showing ES cells with Nurr1 has positive results for multiple markers of dopamine production

To quantitatively measure how much dopamine these ES cells could produce the researchers stained for tyrosine hydroxylase (TH), which  catalyzes the conversion of L-tyrosine to dihydroxyphenylalanine (DOPA), the precursor for dopamine. Nuclear receptor related-1 (Nurr1) is a transcription factor that has a role in the differentiation of midbrain precursors into dopamine neurons.

In the study ES cell lines expressing Nurr1 are compared to native dopaminergic neurons and WT ES cells. Nurr1 ES cells outperform both comparative cell lines in TH stains, showing greater dopamine production.

Once the authors have demonstrated that their ES cell line with Nurr1 can produce dopamine just as well native dopamine producing neurons, they move on to graft the newly created cell lines to show that they don’t lose their capabilities within an animal model. At the very base, this study demonstrates the ability of embryonic stem cells to be turned into neurons capable of producing specific compounds, just as well native neurons.

Leave a Comment

Filed under Neurophysiology, Neuroscience, Uncategorized

Some thoughts on the mind

What do we currently know about the cellular structure of the brain? How does it affect our concept of reality? A quick & basic summary:3 views of the neuron

The cells of the brain, neurons, have a structure very different from the rest of the body.

At the center of the neuron is the soma, the core. From here branch-like structures called dendrites emerge. The axon, is a single stem which can extend from the soma to very distant spaces, ranging from inches to several feet.

Every thought, feeling, perception, or memory causes an electrical potential to be generated at the soma, passed down the axon and then transferred to other neur ons through dendrites. There are millions of connections between neurons, turning the whole brain into one large network.

This is the stage on which our reality unfolds, everything we learn, everything we feel, all movements and all thoughts occurs through the medium of our neural network.

Leave a Comment

Filed under Neurophysiology, Neuroscience, Uncategorized