Showing posts with label neurons. Show all posts

The key to conquering addictions and psychiatric problems is hidden deep within our brains' netherworld and the circuitry that makes us feel good.



This part of the brain, like space, requires greater investigation.

The mesolimbic dopamine system, which consists of neurons projecting from the ventral tegmental area (VTA) to the nucleus accumbens—a critical structure in mediating emotional and motivation processing—is the oldest and most well-known reward pathway.

Dopamine is a neurotransmitter produced when the brain anticipates a reward. Eating pizza, dancing, shopping, or sex can all cause a surge in dopamine. However, it can also be caused by drugs, which can lead to substance abuse.

Researchers are exploring for pathways other than dopamine that could play a role in rewards and reinforcement in order to find new strategies to treat addiction and psychiatric disorder.

Researchers from the Bruchas Lab at the University of Washington School of Medicine pushed the study on our reward pathways further in a report published in Nature Neuroscience, discovering that there is additional channel beyond dopamine. The Bruchas Lab is advancing our understanding of the brain's inner workings and developing treatments for psychiatric disorders.

"This study opens up new avenues for understanding reward circuitry that may be altered in nicotine, opiates, or other drug abuse, as well as neuropsychiatric diseases that affect reward processing, such as depression," said corresponding author Dr. Michael Bruchas, who runs the Bruchas Lab at the University of Washington School of Medicine.

Researchers discovered that GABA neurons make up about 30% of cells in the VTA in this study. VTA GABA neurons are becoming more well recognised as participants in reward and aversion, as well as prospective therapeutic targets for addiction, depression, and other stress-related diseases.

Neurons are the basic building blocks of the brain and nervous system; they are the cells that receive sensory input from the outside world, give motor commands to our muscles, and transform and relay electrical signals at every step along the way.

"We discovered unique GABAergic cells that project broadly to the nucleus accumbens, but only projections to a specific portion contribute to reward reinforcement," said Raajaram Gowrishankar, a postdoctoral scholar in the Bruchas Lab and the Center for the Neurobiology of Addiction, Pain, and Emotion.

Researchers discovered that long-range GABA neurons from the VTA to the ventral, but not the dorsal, nucleus accumben shell, are involved in reward and reinforcement behaviour in both male and female mice. They discovered that this GABAergic projection suppresses cholinergic interneurons, which are important actors in reward learning.

The researchers claimed that their findings "improve our understanding of neural circuits that are directly implicated in neuropsychiatric disorders including depression and addiction."

The findings, according to co-lead author Ream Al-Hasani of Washington University's Center for Clinical Pharmacology, are similar to putting together Legos and figuring out how one component links to another.

Each puzzle piece can take years to complete.

The discoveries, according to Gowrishankar, are allowing scientists to better comprehend brain subregions and visualise how certain neuromodulators are released during reward processing.

The researchers are able to emphasise heterogeneity in the brain, or differences in the brain, in scientific terms.

"It's critical that we don't think of brain structures as monolithic," Gowrishankar added. "In the brain, there is a lot of subtlety. It's amazing how plastic it is. The way it's set up. This discovery demonstrates one way in which disparities can manifest."

 


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It’s essentially the Wikipedia for our brains’ billions of neurons.
The human brain is a busy, bustling place, with around 100 billion neurons processing and transmitting information via electrical and chemical signals. And to make things even more complex, each of these neurons has about 10,000 different connections to neighbouring brain cells.
Over several decades, scientists have learned a lot about how different neurons function and interact with each other. But in doing so, they’ve amassed huge amounts of data, spread across tens of thousands of scientific papers. Making matters worse is the fact that methods of collecting and reporting this data are often inconsistent.  
In a bid to help scientists manage the copious amounts of information and develop new methods of analyses, computer scientists from Carnegie Mellon University in the US have created an open-access database indexing all the known physiological information about neurons, which can be roughly classified into 300 types.
The Wikipedia-like system is called NeuroElectro, and can be found atwww.neuroelectro.org. Researchers say the site will help accelerate neuroscience research by providing a centralised resource for collecting and comparing data on how neurons function.
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“If we want to think about building a brain or re-engineering the brain, we need to know what parts we're working with,” said Nathan Urban, director of the Carnegie Mellon's BrainHub neuroscience initiative, in a press release.   
“We know a lot about neurons in some areas of the brain, but very little about neurons in others. To accelerate our understanding… we need to be able to easily determine whether what we already know about some neurons can be applied to others we know less about.”
The database was created by computational neuroscientist, Shreejoy J. Tripathy, from the University of British Columbia in Canada. He selected more than 10,000 published papers that contained physiological data describing how neurons responded to various inputs.
He then used text-mining algorithms to 'read' each of the papers. These algorithms extracted portions of the text identifying the type of neuron studied, which enabled these papers to be categorised. The algorithms also isolated and retrieved information relating to how these neurons functioned, how the experiments on them have been conducted, and which data were recorded.  
In total, Tripathy was able to collect, standardize, and index data for approximately 100 different types of neurons.
As the text-mining technique isn’t foolproof, the creators had to go through and validate the information. Importantly, their database has mechanisms that allow users to flag data that's incorrect or needs to be checked, and gives them the opportunity to include and publish new information.
In a paper published in the Journal of Neurophysiology, the researchers outline new analyses methods that can be performed using their database, such as a quicker way of comparing clusters of neurons that appear to have similar functions and triggers.
“It's a dynamic environment in which people can collect, refine and add data,” Urban said of the NeuroElecto database. “It will be a useful resource to people doing neuroscience research all over the world.“
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