Salk study opens an entirely new way of thinking about cognitive decline

 How is your competent? doctor going to use this to address your cognitive decline post stroke?

Salk study opens an entirely new way of thinking about cognitive decline

Brains are like puzzles, requiring many nested and codependent pieces to function well. The brain is divided into areas, each containing many millions of neurons connected across thousands of synapses. These synapses, which enable communication between neurons, depend on even smaller structures: message-sending boutons (swollen bulbs at the branch-like tips of neurons), message-receiving dendrites (complementary branch-like structures for receiving bouton messages), and power-generating mitochondria. To create a cohesive brain, all these pieces must be accounted for.

However, in the aging brain, these pieces can get lost or altered and no longer fit in the greater brain puzzle.

"Fifty percent of people experience loss of working memory with old age, meaning their ability to hold and manipulate information in the short-term decreases," says co-first author Courtney Glavis-Bloom, a senior staff scientist in Salk Institute Professor John Reynolds' lab. "We set out to understand why some individuals maintain healthy working memory as they age, while others do not. In the process, we discovered a novel mechanism for the synaptic basis of cognitive impairment."

Prior studies had found that brains lose synapses as they age, and the researchers saw this pattern in their non-human primate model, too. But when they looked at the synapses that remained, they found evidence of a breakdown in coordination between the size of boutons and the mitochondria they contained. A fundamental neuroscientific principle, the ultrastructural size principle, explains that whenever one part of the synaptic complex changes in size, so too must all the other parts. The synapse, the mitochondria, the boutons-;all these parts must scale in accordance with one another. Before the Salk team's study, published in Frontiers in Aging Neuroscience on April 12, 2023, nobody had asked whether this principle could be violated with age or disease.

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"To examine this, we turned to electron microscopy," says co-first author Casey Vanderlip, a former research assistant in Reynolds' lab. "This enabled us to visualize these components across many synapses. We found that synaptic loss occurred with healthy and impaired aging, but what differed was the breakdown in the correlation between the sizes of boutons and their mitochondria."

"It is a ripple effect, with unfathomably small synaptic structures altering networks of neurons, brain function, and behavior," says Glavis-Bloom. "Investigating these microscopic dysfunctions is uncharted territory that could revolutionize our understanding of aging and its impact on cognition."

The team found that adherence to the ultrastructural size principle was essential for avoiding working memory impairment with age. By viewing violation of the ultrastructural size principle and mitochondria-related failures as the key to age-related cognitive impairment, the study ushers in a new era for aging research.

The images we have captured of synapses are snapshots of a dynamic process. With these snapshots in hand, we can begin to think first about the mechanisms that coordinate the expansion and contraction of the various parts of the synaptic complex, then ask how disruption of these mechanisms can explain age-related cognitive decline. This opens an entirely new way of thinking about cognitive decline that could lead to new targets for future therapeutics."

John Reynolds, Salk Institute Professor, Holder of the Fiona and Sanjay Jha Chair in Neuroscience

Other authors include Sammy Weiser Novak and Uri Manor of the Salk Institute; and Masaaki Kuwajima, Lyndsey Kirk, and Kristen M. Harris of the University of Texas at Austin.

Source:

Salk Institute

Journal reference:

Glavis-Bloom, C., et al. (2023) Violation of the ultrastructural size principle in the dorsolateral prefrontal cortex underlies working memory impairment in the aged common marmoset (Callithrix jacchus). Frontiers in Aging Neuroscience. doi.org/10.3389/fnagi.2023.1146245.

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Memory capacity of brain is 10 times more than previously thought

Your doctor has had 4 years to figure out how to use this capacity to get you recovered. Now she just needs to figure out how to speedily access all that information. 

You're Not Getting Alzheimer's; You Just Know So Much

 The latest here:

Memory capacity of brain is 10 times more than previously thought

Data from the Salk Institute shows brain’s memory capacity is in the petabyte range, as much as entire Web

January 20, 2016

LA JOLLA—Salk researchers and collaborators have achieved critical insight into the size of neural connections, putting the memory capacity of the brain far higher than common estimates. The new work also answers a longstanding question as to how the brain is so energy efficient and could help engineers build computers that are incredibly powerful but also conserve energy.

“This is a real bombshell in the field of neuroscience,” says Terry Sejnowski, Salk professor and co-senior author of the paper, which was published in eLife. “We discovered the key to unlocking the design principle for how hippocampal neurons function with low energy but high computation power. Our new measurements of the brain’s memory capacity increase conservative estimates by a factor of 10 to at least a petabyte, in the same ballpark as the World Wide Web.”

Our memories and thoughts are the result of patterns of electrical and chemical activity in the brain. A key part of the activity happens when branches of neurons, much like electrical wire, interact at certain junctions, known as synapses. An output ‘wire’ (an axon) from one neuron connects to an input ‘wire’ (a dendrite) of a second neuron. Signals travel across the synapse as chemicals called neurotransmitters to tell the receiving neuron whether to convey an electrical signal to other neurons. Each neuron can have thousands of these synapses with thousands of other neurons.

“When we first reconstructed every dendrite, axon, glial process, and synapse from a volume of hippocampus the size of a single red blood cell, we were somewhat bewildered by the complexity and diversity amongst the synapses,” says Kristen Harris, co-senior author of the work and professor of neuroscience at the University of Texas, Austin. “While I had hoped to learn fundamental principles about how the brain is organized from these detailed reconstructions, I have been truly amazed at the precision obtained in the analyses of this report.”

Synapses are still a mystery, though their dysfunction can cause a range of neurological diseases. Larger synapses—with more surface area and vesicles of neurotransmitters—are stronger, making them more likely to activate their surrounding neurons than medium or small synapses.

The Salk team, while building a 3D reconstruction of rat hippocampus tissue (the memory center of the brain), noticed something unusual. In some cases, a single axon from one neuron formed two synapses reaching out to a single dendrite of a second neuron, signifying that the first neuron seemed to be sending a duplicate message to the receiving neuron.

At first, the researchers didn’t think much of this duplicity, which occurs about 10 percent of the time in the hippocampus. But Tom Bartol, a Salk staff scientist, had an idea: if they could measure the difference between two very similar synapses such as these, they might glean insight into synaptic sizes, which so far had only been classified in the field as small, medium and large.

In a computational reconstruction of brain tissue in the hippocampus, Salk scientists and UT-Austin scientists found the unusual occurrence of two synapses from the axon of one neuron (translucent black strip) forming onto two spines on the same dendrite of a second neuron (yellow). Separate terminals from one neuron’s axon are shown in synaptic contact with two spines (arrows) on the same dendrite of a second neuron in the hippocampus. The spine head volumes, synaptic contact areas (red), neck diameters (gray) and number of presynaptic vesicles (white spheres) of these two synapses are almost identical.

Click here for a high-resolution image.

Credit: Salk Institute

To do this, researchers used advanced microscopy and computational algorithms they had developed to image rat brains and reconstruct the connectivity, shapes, volumes and surface area of the brain tissue down to a nanomolecular level.

The scientists expected the synapses would be roughly similar in size, but were surprised to discover the synapses were nearly identical.

“We were amazed to find that the difference in the sizes of the pairs of synapses were very small, on average, only about eight percent different in size. No one thought it would be such a small difference. This was a curveball from nature,” says Bartol.

Because the memory capacity of neurons is dependent upon synapse size, this eight percent difference turned out to be a key number the team could then plug into their algorithmic models of the brain to measure how much information could potentially be stored in synaptic connections.

It was known before that the range in sizes between the smallest and largest synapses was a factor of 60 and that most are small.

But armed with the knowledge that synapses of all sizes could vary in increments as little as eight percent between sizes within a factor of 60, the team determined there could be about 26 categories of sizes of synapses, rather than just a few.

“Our data suggests there are 10 times more discrete sizes of synapses than previously thought,” says Bartol. In computer terms, 26 sizes of synapses correspond to about 4.7 “bits” of information. Previously, it was thought that the brain was capable of just one to two bits for short and long memory storage in the hippocampus.

“This is roughly an order of magnitude of precision more than anyone has ever imagined,” says Sejnowski.

What makes this precision puzzling is that hippocampal synapses are notoriously unreliable. When a signal travels from one neuron to another, it typically activates that second neuron only 10 to 20 percent of the time.

“We had often wondered how the remarkable precision of the brain can come out of such unreliable synapses,” says Bartol. One answer, it seems, is in the constant adjustment of synapses, averaging out their success and failure rates over time. The team used their new data and a statistical model to find out how many signals it would take a pair of synapses to get to that eight percent difference.

The researchers calculated that for the smallest synapses, about 1,500 events cause a change in their size/ability (20 minutes) and for the largest synapses, only a couple hundred signaling events (1 to 2 minutes) cause a change.

“This means that every 2 or 20 minutes, your synapses are going up or down to the next size. The synapses are adjusting themselves according to the signals they receive,” says Bartol.

From left: Terry Sejnowski, Cailey Bromer and Tom Bartol

Click here for a high-resolution image.

Credit: Salk Institute

“Our prior work had hinted at the possibility that spines and axons that synapse together would be similar in size, but the reality of the precision is truly remarkable and lays the foundation for whole new ways to think about brains and computers,” says Harris. “The work resulting from this collaboration has opened a new chapter in the search for learning and memory mechanisms.” Harris adds that the findings suggest more questions to explore, for example, if similar rules apply for synapses in other regions of the brain and how those rules differ during development and as synapses change during the initial stages of learning.

“The implications of what we found are far-reaching,” adds Sejnowski. “Hidden under the apparent chaos and messiness of the brain is an underlying precision to the size and shapes of synapses that was hidden from us.”

The findings also offer a valuable explanation for the brain’s surprising efficiency. The waking adult brain generates only about 20 watts of continuous power—as much as a very dim light bulb. The Salk discovery could help computer scientists build ultraprecise, but energy-efficient, computers, particularly ones that employ “deep learning” and artificial neural nets—techniques capable of sophisticated learning and analysis, such as speech, object recognition and translation.

“This trick of the brain absolutely points to a way to design better computers,” says Sejnowski. “Using probabilistic transmission turns out to be as accurate and require much less energy for both computers and brains.”

Other authors on the paper were Cailey Bromer of the Salk Institute; Justin Kinney of the McGovern Institute for Brain Research; and Michael A. Chirillo and Jennifer N. Bourne of the University of Texas, Austin.

The work was supported by the NIH and the Howard Hughes Medical Institute.

PUBLICATION INFORMATION

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JOURNAL

eLife

TITLE

Nanoconnectomic Upper Bound on the Variability of Synaptic Plasticity

AUTHORS

Thomas M Bartol, Cailey Bromer, Justin Kinney, Michael A. Chirillo, Jennifer N. Bourne, Kristen M. Harris, Terrence J Sejnowski

 

'Exercise-in-a-pill' boosts athletic endurance by 70 percent

Think your doctor will work on this for you since your ability to aerobically exercise is extremely limited?

'Exercise-in-a-pill' boosts athletic endurance by 70 percent

Source:

Salk Institute

Summary:

Sedentary mice given the drug ran longer without training.

FULL STORY

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Salk scientists move one step closer to developing 'exercise-in-a-pill.' Partial view of a mouse calf muscle stained for different types of muscle fibers: oxidative slow-twitch (blue), oxidative fast-twitch (green), glycolytic fast-twitch (red).

Credit: Salk Institute/Waitt Center

Every week, there seems to be another story about the health benefits of running. That's great -- but what if you can't run? For the elderly, obese or otherwise mobility-limited, the rewards of aerobic exercise have long been out of reach.

Salk Institute scientists, building on earlier work that identified a gene pathway triggered by running, have discovered how to fully activate that pathway in sedentary mice with a chemical compound, mimicking the beneficial effects of exercise, including increased fat burning and stamina. The study, which appears in Cell Metabolism on May 2, 2017, not only deepens our understanding of aerobic endurance, but also offers people with heart conditions, pulmonary disease, type 2 diabetes or other health limitations the hope of achieving those benefits pharmacologically.
"It's well known that people can improve their aerobic endurance through training," says senior author Ronald Evans, Howard Hughes Medical Institute investigator and holder of Salk's March of Dimes Chair in Molecular and Developmental Biology. "The question for us was: how does endurance work? And if we really understand the science, can we replace training with a drug?"
Developing endurance means being able to sustain an aerobic activity for longer periods of time. As people become more fit, their muscles shift from burning carbohydrates (glucose) to burning fat. So researchers assumed that endurance is a function of the body's increasing ability to burn fat, though details of the process have been murky. Previous work by the Evans lab into a gene called PPAR delta (PPARD) offered intriguing clues: mice genetically engineered to have permanently activated PPARD became long-distance runners who were resistant to weight gain and highly responsive to insulin -- all qualities associated with physical fitness. The team found that a chemical compound called GW1516 (GW) similarly activated PPARD, replicating the weight control and insulin responsiveness in normal mice that had been seen in the engineered ones. However, GW did not affect endurance (how long the mice could run) unless coupled with daily exercise, which defeated the purpose of using it to replace exercise.
In the current study, the Salk team gave normal mice a higher dose of GW, for a longer period of time (8 weeks instead of 4). Both the mice that received the compound and mice that did not were typically sedentary, but all were subjected to treadmill tests to see how long they could run until exhausted.
Mice in the control group could run about 160 minutes before exhaustion. Mice on the drug, however, could run about 270 minutes -- about 70 percent longer. For both groups, exhaustion set in when blood sugar (glucose) dropped to around 70 mg/dl, suggesting that low glucose levels (hypoglycemia) are responsible for fatigue.
To understand what was happening at the molecular level, the team compared gene expression in a major muscle of mice. They found 975 genes whose expression changed in response to the drug, either becoming suppressed or increased. Genes whose expression increased were ones that regulate breaking down and burning fat. Surprisingly, genes that were suppressed were related to breaking down carbohydrates for energy. This means that the PPARD pathway prevents sugar from being an energy source in muscle during exercise, possibly to preserve sugar for the brain. Activating fat-burning takes longer than burning sugar, which is why the body generally uses glucose unless it has a compelling reason not to -- like maintaining brain function during periods of high energy expenditure. Although muscles can burn either sugar or fat, the brain prefers sugar, which explains why runners who "hit the wall" experience both physical and mental fatigue when they use up their supply of glucose.
"This study suggests that burning fat is less a driver of endurance than a compensatory mechanism to conserve glucose," says Michael Downes, a Salk senior scientist and co-senior author of the paper. "PPARD is suppressing all the points that are involved in sugar metabolism in the muscle so glucose can be redirected to the brain, thereby preserving brain function."
Interestingly, the muscles of mice that took the exercise drug did not exhibit the kinds of physiological changes that typically accompany aerobic fitness: additional mitochondria, more blood vessels and a shift toward the type of muscle fibers that burn fat rather than sugar. This shows that these changes are not exclusively driving aerobic endurance; it can also be accomplished by chemically activatin
g a genetic pathway. In addition to having increased endurance, mice who were given the drug were also resistant to weight gain and more responsive to insulin than the mice who were not on the drug.
"Exercise activates PPARD, but we're showing that you can do the same thing without mechanical training. It means you can improve endurance to the equivalent level as someone in training, without all of the physical effort," says Weiwei Fan, a Salk research associate and the paper's first author.
Although the lab's studies have been in mice, pharmaceutical companies are interested in using the research to develop clinical trials for humans. The team can envision a number of therapeutic applications for a prescription drug based on GW, from increasing fat burning in people suffering from obesity or type 2 diabetes to improving patients' fitness before and after surgery.

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Story Source:
Materials provided by Salk Institute. Note: Content may be edited for style and length.