Category Archives: Neuroscience

‘Making Peace with Conflict’ Book Uses Neuroscience to Reduce Conflict in Professional and Personal Lives – PR Web

WASHINGTON (PRWEB) September 10, 2020

With COVID-19 changing the way we work and live, combining those spaces in unprecedented ways, and happening concurrently with massive political divisions and economic distress, the potential for destructive conflict is increasing. Jeanine Hullformer corporate lawyer, now author, certified Conflict Transformation mediator, conflict engagement coach and public speakershows how to use this challenging time constructively to deepen relationships by changing the way you think about and respond to conflict. Her new book, Making Peace with Conflict: Using Neuroscience to Ease Difficult Relationships, is a scientifically comprehensive guide and is the first book that explicitly ties recent revolutionary trauma research to the way we deal with conflict.

We all know how miserable conflict is, but very few of us have experienced the benefits conflict can bring, such as deepening trust and strengthening relationships, said Hull. Like navigating a labyrinth, the process of harnessing the connective power of conflict lies in trusting the process, putting one foot in front of the other and maintaining progress toward the centera place of integration, peace and ease. Using clear and easy-to-understand language, my book uses neuroscience to educate you how to engage with and move through the unpleasantness of conflict to better your professional and personal lives.

Notably, Hull helps organizations and families create an environment that values diversity of opinions (which can often lead to conflictor worse, silence) with Rules of Conflict Engagement to normalize and respect diverging opinions. These Rules of Engagement make it safe for everyone to give their best to their jobs, families, communities and volunteer organizations.

Readers of the book will:

As Dr. James Gilligan, a leading authority on the causes of violence, clinical professor of Psychiatry and Adjunct Professor of Law at New York University, and author of Violence: Reflections on a National Epidemic and Preventing Violence, writes:

In this truly remarkable book Jeanine Hull summarizes and synthesizes an enormous amount of the most important and up-to-date research, from the latest findings in neuroscience to new developments in the understanding and treatment of trauma to effective methods of conflict resolution. She shows how inseparable the body is from the mind, and how valuable that knowledge can be in helping us as individuals and as a society to deal more constructively with all forms of psychological distress and dysfunction.

Making Peace with Conflict is the book weve been waiting for: a straightforward and non-touchy- feely process to taking control of our behavior to live a more peaceful life.

Order your e-book or paperback copy today at Amazon (https://amzn.to/2RcE2Lo), Barnes & Noble (https://bit.ly/3ikivw4), IndieBound (https://bit.ly/3bG66A9) and Kobo (https://bit.ly/2Fqc0sQ) to receive in September 2020. To learn more about Making Peace with Conflict or to book Hull to speak during in-person or virtual corporate events, workshops seminars, keynotes and more, visit http://www.MakingPeaceWithConflict.com.

About the AuthorMaking Peace with Conflict: Using Neuroscience to Ease Difficult Relationships, is the first book by Jeanine Hull, who recently retired as a prominent energy attorney. She is an experienced public speaker, including keynote addresses and expert testimony before Congress. Hull regularly spearheads seminars and interactive trainings, while offering public speaking services and personalized coaching to corporations and individuals looking to harness the dynamic and creative power of everyday conflicts. By guiding individuals and teams to productively participate in conflict engagement, Hull helps her clients create a positive environment which fosters teamwork and collaboration. Jeanine resides in Washington, D.C. with her husband of 30 years, dog and two cats, as her adult son explores the world.

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'Making Peace with Conflict' Book Uses Neuroscience to Reduce Conflict in Professional and Personal Lives - PR Web

Global Neuroscience Market New Trends, Future Growth, Outlook, Industry Overview, Application and Forecast 2020-2026 – Scientect

The GlobalNeuroscience Market report contains a complete analysis of the different aspects of the market such as the market size, key marketing regions, key players, leading firms, market structure, segmentation, revenue generation, demand, research, and development, and top marketing strategies. The Neuroscience Market report provides comprehensive data for the latest market entrants. Furthermore, the explosion delivers a market summary, SWOT analysis, and total market share.

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Xian Janssen Pharmaceutical Ltd.AstraZeneca plc.Qilu Pharmaceutical Co., Ltd.Huahai Pharmaceutical Co., Ltd.KRRPShandong Renhetang Pharmaceutical Co Ltd.Kanghong PharmaceuticalJiangsu Nhwa Pharmaceutical Co., Ltd

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The Neuroscience Market Research report delivers an all-inclusive overview of the competitive landscape along with an in-depth analysis of the company profiles, revenue estimation, and gross margin profits, and market size and share. Furthermore, the report studies the strategic initiatives taken by the companies to expand their customer base, market size. It also evaluates key industry trends and sales and distribution channels.

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Table of Contents

1. Research Methodology 2. Executive Summary 3.Market Overview 3.1. Definition 3.2. Neuroscience Industry Market Value Chain Analysis 3.3. Porters 5 Forces 3.4. Regulations 4. Market Dynamics 4.1. Introduction 4.2. Drivers 4.3. Constraints 4.4. Trends 5. Global Neuroscience Market Segmentation, Forecasts, and Trends by Application 6. Global Neuroscience Market Segmentation, Forecasts, and Trends by Technology 7. Global Neuroscience Market Segmentation, Forecasts, and Trends by Region 8. Competitive Intelligence 8.1. Company Market Share Analysis 9. Company Profiles 10. Investment Opportunities

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Global Neuroscience Market New Trends, Future Growth, Outlook, Industry Overview, Application and Forecast 2020-2026 - Scientect

Neuroscience Antibodies & Assays Market is Thriving Worldwide 2020 | Trends, Growth and Profit Analysis, Forecast by 2027 – The Daily Chronicle

New Jersey, United States, The Neuroscience Antibodies & Assays Market report 2020 provides a detailed impression, describe the product industry scope and the market expanded insights and forecasts up to 2027. It shows market data according to industry drivers, restraints and opportunities, analyzes the market status, the industry share, size, future Trends and growth rate of the market. The Neuroscience Antibodies & Assays Market report is categorized by application, end user, technology, product / service types, and other, as well as by region. In addition, the report includes the calculated expected CAGR of chitosan acetate-market derivative from the earlier records of the Neuroscience Antibodies & Assays Market, and current market trends, which are organized with future developments.

Global Neuroscience Antibodies & Assays Market was valued at USD 2.42 Billion in 2018 and is projected to reach USD 5.14 Billion by 2026, growing at a CAGR of 9.7% from 2019 to 2026.

Global Neuroscience Antibodies & Assays Market, By Product

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The report provides detailed coverage of the Neuroscience Antibodies & Assays Market, including structure, definitions, applications, and Industry Chain classifications. The Neuroscience Antibodies & Assays Market analysis is provided for the international markets including development trends, competitive landscape analysis, investment plan, business strategy, opportunities and development status of key regions. Development policies and plans are discussed and manufacturing processes and cost structures analyzed. This report also includes information on import / export consumption, supply and demand, costs, industry share, policy, Price, Sales and gross margins.

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Neuroscience Antibodies & Assays Market is Thriving Worldwide 2020 | Trends, Growth and Profit Analysis, Forecast by 2027 - The Daily Chronicle

Study shows how inhibitory learning enables memories to be stable over time – News-Medical.Net

Reviewed by Emily Henderson, B.Sc.Sep 9 2020

In years to come, our personal memories of the COVID-19 pandemic are likely to be etched in our minds with precision and clarity, distinct from other memories of 2020.

The process which makes this possible has eluded scientists for many decades, but research led by the University of Bristol has made a breakthrough in understanding how memories can be so distinct and long-lasting without getting muddled up.

The study, published in Nature Communications, describes a newly discovered mechanism of learning in the brain shown to stabilize memories and reduce interference between them. Its findings also provide new insight into how humans form expectations and make accurate predictions about what could happen in future.

Memories are created when the connections between the nerve cells which send and receive signals from the brain are made stronger. This process has long been associated with changes to connections that excite neighbouring nerve cells in the hippocampus, a region of the brain crucial for memory formation.

These excitatory connections must be balanced with inhibitory connections, which dampen nerve cell activity, for healthy brain function.

The role of changes to inhibitory connection strength had not previously been considered and the researchers found that inhibitory connections between nerve cells, known as neurons, can similarly be strengthened.

Working together with computational neuroscientists at Imperial College London, the researchers showed how this allows the stabilisation of memory representations.

Their findings uncover for the first time how two different types of inhibitory connections (from parvalbumin and somatostatin expressing neurons) can also vary and increase their strength, just like excitatory connections.

Moreover, computational modelling demonstrated this inhibitory learning enables the hippocampus to stabilise changes to excitatory connection strength, which prevents interfering information from disrupting memories.

We were all really excited when we discovered these two types of inhibitory neurons could alter their connections and partake in learning. It provides an explanation for what we all know to be true; that memories do not disappear as soon as we encounter a new experience. These new findings will help us understand why that is."

Dr Matt Udakis, Study First Author and Research Associate, School of Physiology, Pharmacology and Neuroscience, University of Bristol

"The computer modelling gave us important new insight into how inhibitory learning enables memories to be stable over time and not be susceptible to interference. That's really important as it has previously been unclear how separate memories can remain precise and robust."

The research was funded by the UKRI's Biotechnology and Biological Sciences Research Council, which has awarded the teams further funding to develop this research and test their predictions from these findings by measuring the stability of memory representations.

Senior author Professor Jack Mellor, Professor in Neuroscience at the Centre for Synaptic Plasticity, said: "Memories form the basis of our expectations about future events and enable us to make more accurate predictions.

What the brain is constantly doing is matching our expectations to reality, finding out where mismatches occur, and using this information to determine what we need to learn.

"We believe what we have discovered plays a crucial role in assessing how accurate our predictions are and therefore what is important new information.

In the current climate, our ability to manage our expectations and make accurate predictions has never been more important."

"This is also a great example of how research at the interface of two different disciplines can deliver exciting science with truly new insights. Memory researchers within Bristol Neuroscience form one of the largest communities of memory-focussed research in the UK spanning a broad range of expertise and approaches.

It was a great opportunity to work together and start to answer these big questions, which neuroscientists have been grappling with for decades and have wide-reaching implications."

Source:

Journal reference:

Udakis, M., et al. (2020) Interneuron-specific plasticity at parvalbumin and somatostatin inhibitory synapses onto CA1 pyramidal neurons shapes hippocampal output. Nature Communications. doi.org/10.1038/s41467-020-18074-8.

Link:
Study shows how inhibitory learning enables memories to be stable over time - News-Medical.Net

Study reveals how brain waves may control flow of information throughout the cortex – News-Medical.Net

Reviewed by Emily Henderson, B.Sc.Sep 8 2020

To produce your thoughts and actions, your brain processes information in a hierarchy of regions along its surface, or cortex, ranging from "lower" areas that do basic parsing of incoming sensations to "higher" executive regions that formulate your plans for employing that newfound knowledge.

In a new study, MIT neuroscientists seeking to explain how this organization emerges report two broad trends: In each of three distinct regions, information encoding or its inhibition was associated with a similar tug of war between specific brain wave frequency bands, and the higher a region's status in the hierarchy, the higher the peak frequency of its waves in each of those bands.

By making and analyzing measurements of thousands of neurons and surrounding electric fields in three cortical regions in animals, the team's new study in the Journal of Cognitive Neuroscience provides a unifying view of how brain waves, which are oscillating patterns of the activity of brain cells, may control the flow of information throughout the cortex.

When you look at prior studies you see examples of what we found in many regions, but they are all found in different ways in different experiments. We wanted to obtain an overarching picture so that's what we did. We addressed the question of what does this look like all over the cortex."

Earl Miller, Picower Professor of Neuroscience in The Picower Institute for Learning and Memory and senior author of the study

Added co-first author Mikael Lundqvist of Stockholm University and MIT: "Many, many studies have looked at how synchronized the phases of a particular frequency are between cortical regions. It has become a field by itself, because synchrony will impact the communication between regions. But arguably even more important would be if regions communicate at different frequencies altogether. Here we find such a systematic shift in preferred frequencies across regions. It may have been suspected by piecing together earlier studies, but as far as I know hasn't been shown directly before. It is a simple but potentially very fundamental observation."

The paper's other first author is Picower Institute postdoc Andre Bastos.

To make their observations the team gave animals the task of correctly distinguishing an image they had just seen - a simple feat of visual working memory. As the animals played the game, the scientists measured the individual spiking activity of hundreds of neurons in each animal in three regions at the bottom, middle and top of the task's cortical hierarchy - the visual cortex, the parietal cortex and the prefrontal cortex. They simultaneously tracked the waves produced by this activity.

In each region they found that when an image was either being encoded (when it was first presented) or recalled (when working memory was tested), the power of theta and gamma frequency bands of brain waves would increase in bursts and power in alpha and beta bands would decrease. When the information had to be held in mind, for instance in the period between first sight and the test, theta and gamma power went down and alpha and beta power went up in bursts. This functional "push/pull" sequence between these frequency bands has been shown in several individual regions, including the motor cortex, Miller said, but not often simultaneously across multiple regions in the course of the same task.

The researchers also observed that the bursts of theta and gamma power were closely associated with neural spikes that encoded information about the images. Alpha and beta power bursts, meanwhile, were anti-correlated with that same spiking activity.

While this rule applied across all three regions, a key difference was that each region employed a distinct peak within each frequency band. While the visual cortex beta band, for instance, peaked at 11 Hz, parietal beta peaked at 15 Hz and prefrontal beta peaked at 19 Hz. Meanwhile visual cortex gamma occurred at 65 Hz, parietal gamma topped at 72 Hz and prefrontal gamma at 80 Hz.

"As you move from the back of the brain to the front, all the frequencies get a little higher," Miller said.

While both main trends in the study - the inverse relationships between frequency bands and the systematic rise in peak frequencies within each band - were both consistently observed and statistically significant, they only show associations with function, not causality. But the researchers said they are consistent with a model in which alpha and beta alternately inhibit, or release, gamma to control the encoding of information - a form of top-down control of sensory activity.

Meanwhile, they hypothesize that the systematic increase in peak frequencies up the hierarchy could serve multiple functions. For instance, if waves in each frequency band carry information, then it higher regions would sample at a faster frequency to provide more fine-grained sampling of the raw input coming from lower regions. Moreover, faster frequencies are more effective at entraining those same frequencies in other regions, giving higher regions an effective way of controlling activity in lower ones.

"The increased frequency in the oscillatory rhythms may help sculpt information flow in the cortex," the authors wrote.

Source:

Journal reference:

Lundqvist, M., et al. (2020) Preservation and Changes in Oscillatory Dynamics across the Cortical Hierarchy. Journal of Cognitive Neuroscience. doi.org/10.1162/jocn_a_01600.

Originally posted here:
Study reveals how brain waves may control flow of information throughout the cortex - News-Medical.Net

What makes memories so detailed and enduring? This research finds the reason – Hindustan Times

In years to come, human memories of the COVID-19 pandemic are likely to be etched in human minds with precision and clarity, distinct from other memories of 2020.

The process which makes this possible has eluded scientists for many decades, but research led by the University of Bristol has made a breakthrough in understanding how memories can be so distinct and long-lasting without getting muddled up.

The study, published in Nature Communications, describes a newly discovered mechanism of learning in the brain shown to stabilise memories and reduce interference between them. Its findings also provide new insight into how humans form expectations and make accurate predictions about what could happen in future.

Memories are created when the connections between the nerve cells which send and receive signals from the brain are made stronger. This process has long been associated with changes to connections that excite neighbouring nerve cells in the hippocampus, a region of the brain crucial for memory formation.

These excitatory connections must be balanced with inhibitory connections, which dampen nerve cell activity, for healthy brain function. The role of changes to inhibitory connection strength had not previously been considered and the researchers found that inhibitory connections between nerve cells, known as neurons, can similarly be strengthened.

Working together with computational neuroscientists at Imperial College London, the researchers showed how this allows the stabilisation of memory representations.

Their findings uncover for the first time how two different types of inhibitory connections (from parvalbumin and somatostatin expressing neurons) can also vary and increase their strength, just like excitatory connections. Moreover, computational modelling demonstrated this inhibitory learning enables the hippocampus to stabilise changes to excitatory connection strength, which prevents interfering information from disrupting memories.

First author Dr Matt Udakis, Research Associate at the School of Physiology, Pharmacology, and Neuroscience, said: We were all really excited when we discovered these two types of inhibitory neurons could alter their connections and partake in learning. It provides an explanation for what we all know to be true; that memories do not disappear as soon as we encounter a new experience. These new findings will help us understand why that is.

The computer modelling gave us important new insight into how inhibitory learning enables memories to be stable over time and not be susceptible to interference. Thats really important as it has previously been unclear how to separate memories can remain precise and robust, added Udakis.

The research was funded by the UKRIs Biotechnology and Biological Sciences Research Council, which has awarded the teams further funding to develop this research and test their predictions from these findings by measuring the stability of memory representations.

Senior author Professor Jack Mellor, Professor in Neuroscience at the Centre for Synaptic Plasticity, said: Memories form the basis of our expectations about future events and enable us to make more accurate predictions. What the brain is constantly doing is matching our expectations to reality, finding out where mismatches occur and using this information to determine what we need to learn.

We believe what we have discovered plays a crucial role in assessing how accurate our predictions are and therefore what is important new information. In the current climate, our ability to manage our expectations and make accurate predictions has never been more important, added Mellor.

This is also a great example of how research at the interface of two different disciplines can deliver exciting science with truly new insights. Memory researchers within Bristol Neuroscience form one of the largest communities of memory-focused research in the UK spanning a broad range of expertise and approaches. It was a great opportunity to work together and start to answer these big questions, which neuroscientists have been grappling with for decades and have wide-reaching implications, said Mellor.

(This story has been published from a wire agency feed without modifications to the text. Only the headline has been changed.)

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What makes memories so detailed and enduring? This research finds the reason - Hindustan Times

Raised blood pressure and diabetes alter brain structure to slow thinking speed and memory – Mirage News

In a new study, neuroscientists at Oxford University have found that raised blood pressure and diabetes in mid-life alter brain structure to slow thinking speed and memory.

Looking at results from 22,000 volunteers in the UK Biobank who underwent brain scanning, the scientists found that raised blood pressure and diabetes significantly impaired the brains cognitive functions, specifically the performance of thinking speed and short-term memory.

Masud Husain, Professor of Neurology and Cognitive Neuroscience at the Nuffield Department of Clinical Neurosciences and lead investigator of the study, said, For blood pressure, every mm of pressure in your arteries counts even in people who arent on any treatment. For people who are on treatment, systolic blood pressures above 140 mm were associated with lower cognitive performance. The higher the pressure, the worse it is.

Image caption: MRI brain scan from the UK Biobank showing white matter pathways, the connections that convey information between brain regions.

The study, published in Nature Communications, shows the effects of blood pressure were strongest in people aged 44-69. Whereas in people aged above 70, the level of pressure did not have such an impact on the brains cognitive function.

These effects appear to be mediated by alterations in brain structure that were detected using new MRI brain scanning analysis techniques. The brain changes occurred in people with high blood pressure and diabetes, who were otherwise healthy individuals.

Some researchers have previously shown that blood pressure and diabetes in mid-life can increase the risk of developing dementia later in life. The new findings of the Oxford group reveal that these factors can also have a direct impact on cognitive performance in mid-life.

Dr. Michele Veldsman, Postdoctoral Research Scientist in Cognitive Neurology at the Department of Experimental Psychology and co-author of the study, said, The MRI scans show that raised blood pressure and glucose seem to alter both the grey matter and the white matter connections in the brain.

Dr. Xin You Tai, collaborator and DPhil student at the Nuffield Department of Clinical Neurosciences, said, These changes seem to have a direct impact on the speed of thinking and short-term memory.

Image left to Right: Dr. Xin You Tai, DPhil student, Dr. Michele Veldsman, Postdoctoral Research Scientist in Cognitive Neurology and Masud Husain, Professor of Neurology and Cognitive Neuroscience

The findings have important implications for brain health and may help neuroscientists answer how we can keep our brains healthy and more resilient as we get older.

Professor Husain said, Monitoring and treating even modestly raised blood pressure might make a difference to the structure of the brain and speed of thinking in mid-life, while also offering potential to reduce the risks of developing dementia later in life.

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Raised blood pressure and diabetes alter brain structure to slow thinking speed and memory - Mirage News

Posters of the 2020 American Association of Neuroscience Nurses Annual Meeting: The Year There Was No Wall on Which to Hang Them – DocWire News

This article was originally published here

J Neurosci Nurs. 2020 Oct;52(5):E11-E12. doi: 10.1097/JNN.0000000000000541.

ABSTRACT

The 2020 annual meeting of the American Association of Neuroscience Nurses was canceled because of the COVID-19 pandemic. This is a summary of 27 abstracts presented in poster format that were accepted to that meeting.

PMID:32890101 | DOI:10.1097/JNN.0000000000000541

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Posters of the 2020 American Association of Neuroscience Nurses Annual Meeting: The Year There Was No Wall on Which to Hang Them - DocWire News

Sleeping patterns of a person may help predict when will Alzheimer’s disease begin: Study – Times Now

Sleeping patterns of a person may help predict when will Alzheimer's disease begin: Study  |  Photo Credit: iStock Images

Washington:By observing one's sleeping patterns, neuroscientists, to some extent can estimate a time frame for when Alzheimer's is most likely to strike in a person's lifetime, according to a recent study.

Their findings suggest one defence against this virulent form of dementia - for which no treatment currently exists - is deep, restorative sleep, and plenty of it.

The research was led by UC Berkeley neuroscientists Matthew Walker and Joseph Winer that was published in the journal Current Biology.

"We have found that the sleep you're having right now is almost like a crystal ball telling you when and how fast Alzheimer's pathology will develop in your brain," said Walker, a UC Berkeley professor of psychology and neuroscience and senior author of the paper."The silver lining here is that there's something we can do about it," he added. "The brainwashes itself during deep sleep, and so there may be a chance to turn back the clock by getting more sleep earlier in life."

Walker and fellow researchers matched the overnight sleep quality of 32 healthy older adults against the buildup in their brains of the toxic plaque known as beta-amyloid, a key player in the onset and progression of Alzheimer's, which destroys memory pathways and other brain functions and afflicts more than 40 million people worldwide.

Their findings show that the study participants who started out experiencing more fragmented sleep and less non-rapid eye movement (non-REM) slow-wave sleep were most likely to show an increase in beta-amyloid over the course of the study.

Although all participants remained healthy throughout the study period, the trajectory of their beta-amyloid growth correlated with baseline sleep quality. The researchers were able to forecast the increase in beta-amyloid plaques, which are thought to mark the beginning of Alzheimer's.

"Rather than waiting for someone to develop dementia many years down the road, we are able to assess how sleep quality predicts changes in beta-amyloid plaques across multiple timepoints. In doing so, we can measure how quickly this toxic protein accumulates in the brain over time, which can indicate the beginning of Alzheimer's disease," said Winer, the study's lead author and a PhD student in Walker's Center for Human Sleep Science at UC Berkeley.

In addition to predicting the time it is likely to take for the onset of Alzheimer's, the results reinforce the link between poor sleep and the disease, which is particularly critical in the face of a tsunami of ageing baby boomers on the horizon.While previous studies have found that sleep cleanses the brain of beta-amyloid deposits, these new findings identify deep non-REM slow-wave sleep as the target of intervention against cognitive decline.And though genetic testing can predict one's inherent susceptibility to Alzheimer's, and blood tests offer a diagnostic tool, neither offers the potential for a lifestyle therapeutic intervention that sleep does, the researchers point out."If deep, restorative sleep can slow down this disease, we should be making it a major priority," Winer said. "And if physicians know about this connection, they can ask their older patients about their sleep quality and suggest sleep as a prevention strategy."

The 32 healthy participants in their 60s, 70s and 80s who are enrolled in the sleep study are part of the Berkeley Aging Cohort Study headed by UC Berkeley public health professor William Jagust, also a co-author on this latest study. The study of healthy ageing was launched in 2005 with a grant from the National Institutes of Health.

For the experiment, each participant spent an eight-hour night of sleep in Walker's lab while undergoing polysomnography, a battery of tests that record brain waves, heart rate, blood-oxygen levels and other physiological measures of sleep quality.

Over the course of the multi-year study, the researchers periodically tracked the growth rate of the beta-amyloid protein in the participants' brains using positron emission tomography, or PET scans and compared the individuals' beta-amyloid levels to their sleep profiles.

Researchers focused on brain activity present during deep slow-wave sleep. They also assessed the study participants' sleep efficiency, which is defined as actual time spent asleep, as opposed to lying sleepless in bed.

The results supported their hypothesis that sleep quality is a biomarker and predictor of the disease down the road.

"We know there's a connection between people's sleep quality and what's going on in the brain, in terms of Alzheimer's disease. But what hasn't been tested before is whether your sleep right now predicts what's going to happen to you years later," Winer said. "And that's the question we had."And they got their answer: "Measuring sleep effectively helps us travel into the future and estimate where your amyloid buildup will be," Walker said.

As for next steps, Walker and Winer are looking at how they can take the study participants who are at high risk of contracting Alzheimer's and implement methods that might boost the quality of their sleep.

"Our hope is that if we intervene, then in three or four years the buildup is no longer where we thought it would be because we improved their sleep," Winer said."Indeed, if we can bend the arrow of Alzheimer's risk downward by improving sleep, it would be a significant and hopeful advance," Walker concluded.

Continued here:
Sleeping patterns of a person may help predict when will Alzheimer's disease begin: Study - Times Now

A person`s sleep pattern may forecast when will Alzheimer`s disease begin – Zee News

Washington: Neuroscientists have found a way to estimate, with some degree of accuracy, a time frame for when Alzheimer`s is most likely to strike in a person`s lifetime, based on their sleep patterns. Their findings suggest one defence against this virulent form of dementia - for which no treatment currently exists - is deep, restorative sleep, and plenty of it.

The research was led by UC Berkeley neuroscientists Matthew Walker and Joseph Winer that was published in the journal Current Biology.

"We have found that the sleep you`re having right now is almost like a crystal ball telling you when and how fast Alzheimer`s pathology will develop in your brain," said Walker, a UC Berkeley professor of psychology and neuroscience and senior author of the paper. "The silver lining here is that there`s something we can do about it," he added.

"The brainwashes itself during deep sleep, and so there may be a chance to turn back the clock by getting more sleep earlier in life."

Walker and fellow researchers matched the overnight sleep quality of 32 healthy older adults against the buildup in their brains of the toxic plaque known as beta-amyloid, a key player in the onset and progression of Alzheimer`s, which destroys memory pathways and other brain functions and afflicts more than 40 million people worldwide.

Their findings show that the study participants who started out experiencing more fragmented sleep and less non-rapid eye movement (non-REM) slow-wave sleep were most likely to show an increase in beta-amyloid over the course of the study.

Although all participants remained healthy throughout the study period, the trajectory of their beta-amyloid growth correlated with baseline sleep quality. The researchers were able to forecast the increase in beta-amyloid plaques, which are thought to mark the beginning of Alzheimer`s.

"Rather than waiting for someone to develop dementia many years down the road, we are able to assess how sleep quality predicts changes in beta-amyloid plaques across multiple timepoints. In doing so, we can measure how quickly this toxic protein accumulates in the brain over time, which can indicate the beginning of Alzheimer`s disease," said Winer, the study`s lead author and a PhD student in Walker`s Center for Human Sleep Science at UC Berkeley.

In addition to predicting the time it is likely to take for the onset of Alzheimer`s, the results reinforce the link between poor sleep and the disease, which is particularly critical in the face of a tsunami of ageing baby boomers on the horizon.

While previous studies have found that sleep cleanses the brain of beta-amyloid deposits, these new findings identify deep non-REM slow-wave sleep as the target of intervention against cognitive decline. And though genetic testing can predict one`s inherent susceptibility to Alzheimer`s, and blood tests offer a diagnostic tool, neither offers the potential for a lifestyle therapeutic intervention that sleep does, the researchers point out.

"If deep, restorative sleep can slow down this disease, we should be making it a major priority," Winer said. "And if physicians know about this connection, they can ask their older patients about their sleep quality and suggest sleep as a prevention strategy."

The 32 healthy participants in their 60s, 70s and 80s who are enrolled in the sleep study are part of the Berkeley Aging Cohort Study headed by UC Berkeley public health professor William Jagust, also a co-author on this latest study. The study of healthy ageing was launched in 2005 with a grant from the National Institutes of Health.

For the experiment, each participant spent an eight-hour night of sleep in Walker`s lab while undergoing polysomnography, a battery of tests that record brain waves, heart rate, blood-oxygen levels and other physiological measures of sleep quality.

Over the course of the multi-year study, the researchers periodically tracked the growth rate of the beta-amyloid protein in the participants` brains using positron emission tomography, or PET scans and compared the individuals` beta-amyloid levels to their sleep profiles.

Researchers focused on brain activity present during deep slow-wave sleep. They also assessed the study participants` sleep efficiency, which is defined as actual time spent asleep, as opposed to lying sleepless in bed.The results supported their hypothesis that sleep quality is a biomarker and predictor of the disease down the road.

"We know there`s a connection between people`s sleep quality and what`s going on in the brain, in terms of Alzheimer`s disease. But what hasn`t been tested before is whether your sleep right now predicts what`s going to happen to you years later," Winer said.

"And that`s the question we had."And they got their answer: "Measuring sleep effectively helps us travel into the future and estimate where your amyloid buildup will be," Walker said.

As for next steps, Walker and Winer are looking at how they can take the study participants who are at high risk of contracting Alzheimer`s and implement methods that might boost the quality of their sleep.

"Our hope is that if we intervene, then in three or four years the buildup is no longer where we thought it would be because we improved their sleep," Winer said. "Indeed, if we can bend the arrow of Alzheimer`s risk downward by improving sleep, it would be a significant and hopeful advance," Walker concluded.

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A person`s sleep pattern may forecast when will Alzheimer`s disease begin - Zee News