Category Archives: Neuroscience

WVU Rockefeller Neuroscience Institute and Oura Health unveil study to predict the outbreak of COVID-19 in healthcare professionals – WVU Medicine

Posted on 4/8/2020

(Editors note: A media tool kit with photos, videos and additional resources is available in the WVUToday Media Center.)

MORGANTOWN, W.VA. -- The West Virginia University Rockefeller Neuroscience Institute, WVU Medicine, and smart ring maker Oura Health today (April 8) announced a national study designed to accelerate early detection of the COVID-19 virus symptoms and contagiousness. Leveraging an artificial intelligence -driven predictive model, wearable ring technology, and a COVID-19 monitoring app, RNI scientists and partners are developing an innovative digital PPE approach that potentially can identify infected frontline healthcare professionals before they become symptomatic a possible breakthrough in monitoring capabilities and limiting the spread.

The RNIs approach not only measures the onset of increased body temperature from the Oura ring and physical symptoms but goes beyond that by looking at the individual holistically integrating physiologic measures with psychological, cognitive and behavioral biometrics, such as stress and anxiety. In real-time, this holistic approach can provide an early and more comprehensive assessment, tracking the mind-body connection and homeostasis in the context of asymptomatic infection. Through this analysis, the team can forecast and predict the onset of fever, cough, fatigue and other physical symptoms linked to viral infections.

Over the past three weeks, Oura smart rings and the RNI COVID-19 monitoring smartphone app have been deployed to physicians, nurses and other frontline healthcare workers in the ED, ICU, testing sites, and urgent care settings in West Virginia. In addition, the RNI is partnering with hospitals across the country, including those in New York City, Philadelphia, Nashville and other critical emerging areas, to monitor more than 1,000 front-line healthcare personnel with exposure to COVID-19.

We are continuously monitoring the mind-body connectivity through our integrated neuroscience platform measuring the autonomic nervous system, fatigue, anxiety, circadian rhythms, and other human resilience and recovery functions, Dr. Ali Rezai, executive chair of the WVU Rockefeller Neuroscience Institute, said. Our AI-driven models are currently predicting symptoms 24 hours prior to onset, and we are working toward a three-plus day forecast. This forecasting capability will help us get ahead of this pandemic; limit the spread to protect healthcare workers, their families, and our communities; and improve our understanding of health recovery.

More broadly, the RNI is continuously monitoring and analyzing more than 30,000 subjects through its integrative neuroscience approach, gaining insight and predictive success in chronic pain, addiction, aging and other illnesses, as well as the readiness and recovery of our military.

At Oura, weve heard firsthand from our users how the physiological signals tracked by the ring have predicted the onset of the virus before other symptoms manifest, Harpreet Rai, CEO of Oura Health, said. Were grateful we can apply this knowledge to help vulnerable caregivers swiftly identify the earliest signs of the disease, and take the appropriate protective measures to limit its spread.

We have done extensive research in the wearable space, and Ouras accuracy and usability is unparalleled to anything we have tested, Rezai added, We are proud to partner with Oura and its innovation to serve our population.

About the Rockefeller Neuroscience InstituteWe are improving lives by pioneering advances in brain health. With the latest technologies, an ecosystem of partners, and a truly integrated approach, we are making tangible progress. Our goal is to combat public health challenges ranging from addiction to Alzheimers, benefiting people in West Virginia, neighboring states, and beyond. Learn more about the RNIs first-in-the-world clinical trials and the top caliber experts joining us in our mission. For more information, visit http://www.wvumedicine.org/rni/.

About Oura HealthOura Health helps people improve their sleep, better understand their bodies, and reach their goals. The Oura Ring and app track all stages of sleep and activity to provide daily feedback and practical steps to inspire healthy lifestyles. Founded in 2013, Oura Health has raised $47M of funding from Forerunner Ventures, Gradient, Square Inc. and MSD Capital, and angel investors. Oura Health is headquartered in Oulu, Finland, with offices in Helsinki and San Francisco. For more information, visit http://ouraring.com/.

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WVU Rockefeller Neuroscience Institute and Oura Health unveil study to predict the outbreak of COVID-19 in healthcare professionals - WVU Medicine

Allen Institute Announces New Phase Of Neuroscience Research – Yahoo Finance

Cell Types and MindScope research programs to enter new stages of resource generation and discovery; another neuroscience division to launch in 2022

SEATTLE, April 6, 2020 /PRNewswire/ -- The Allen Institute today announced new phases of research for its largest division, the Allen Institute for Brain Science, as well as a leader hired to direct a new neuroscience-related division of the Institute.

This change reflects a structural transition for the Allen Institute for Brain Science as it nears the end of its current 10-year scientific timeline. Established in 2003, the Allen Institute for Brain Science has grown to more than 300 researchers and staff working in two broad research programs.

The larger of these groups, the Cell Types program, will move into a new 16-year phase that builds on the team's success in working toward a "periodic table" of brain cell types. In this new phase, the Allen Institute for Brain Science will focus solely on brain cell types and connectivity research. The MindScope Program, which seeks to understand how the brain's neural circuits produce the sense of vision, will also move into a new phase of discovery and will transition out of the Allen Institute for Brain Science to become a separate program of the Allen Institute.

"Through the vision and guidance of our late founder, Paul G. Allen, our model has always been to find scientific problems where our particular flavor of big, team and open science can have the greatest impact," said Allan Jones, Ph.D., President and Chief Executive Officer of the Allen Institute. "As we shift into the next phase of our neuroscience research, I am confident that our teams will continue to push the boundaries of discovery and create invaluable resources for the community."

Christof Koch, Ph.D., currently the President and Chief Scientist of the Allen Institute for Brain Science, will continue to lead the MindScope Program as its Chief Scientist. Hongkui Zeng, Ph.D., currently Executive Director of Structured Science, will lead the cell types and connectivity research as the Executive Vice President, Director of the Allen Institute for Brain Science.

Additionally, renowned neuroscientist Karel Svoboda, Ph.D., will join the Allen Institute in 2021 to lead a new division of the Institute, which will launch in 2022 and will focus on research related to neural computation and dynamics.

The Allen Institute for Brain Science's next phaseThe Allen Brain Observatory, established under Koch's leadership, was built to understand how the brain stores, encodes and processes information, using the mouse visual system as a model for understanding. Koch will continue to lead Observatory projects and direct a team of researchers under the MindScope Program.

"After spending the past eight years building up the tools (such as MesoScope and Neuropixels), instrumental recording capabilities and data analysis pipelines of the Allen Brain Observatory, we are now ready over the next five years to harvest the scientific insights into how the mouse cortex, 14 million complex neurons packed into the volume of a tenth of a sugar cube, represent and evaluate incoming visual information to rapidly and robustly control the behavior and the perception of the mouse," Koch said. "I'm looking forward to dedicating my efforts to this exciting area of research in the years ahead."

Zeng has been a neuroscientist at the Allen Institute since 2006 and leads several projects aiming to create a periodic table of cell types in the brain. Under her leadership, the Allen Institute for Brain Science will now dedicate its focus to defining comprehensive catalogs of mouse and human brain cell types, understanding how different cell types arise through development and evolution, and how they connect and function in health and in disease. The division will generate brain atlases, tools and foundational knowledge for the neuroscience community. Zeng is also the principal investigator on several large National Institutes of Health-funded research projects and programs, which she will continue to lead in her new role.

"I am honored to lead the Allen Institute for Brain Science, and I am confident our researchers will continue to lead their fields as we work together to tackle new and challenging scientific questions," Zeng said. "Our teams have made incredible progress in the past decade in our quest to identify the 'parts lists' of the mouse and human brains and how these parts are connected into the 'Google map' of the brain. Information gained from these efforts opens up unprecedented opportunities for us to look deeper into how brain works. I'm excited to help bring our endeavor to the next level."

A new Institute coming in 2022The Allen Institute's newest division is slated to launch in 2022 and will focus on neural computation and dynamics, with a more specific vision to be developed in several planning sessions this year and next. The new division, led by Svoboda, will focus on making new discoveries and solving hard problems in neural computation.

Svoboda is currently a senior group leader at The Howard Hughes Medical Institute's Janelia Research Campus, where his lab studies synaptic plasticity and develops new technologies and tools. He was previously a professor at Cold Spring Harbor Laboratory, completed a postdoctoral fellowship at Bell Labs and earned his Ph.D. in biophysics from Harvard University. He has served as a member of the Allen Institute for Brain Science's scientific advisory councils over the past 10 years.

"Over the years as a frequent visitor and advisor to the Allen Institute, I have grown to know and value its unique intellectual culture," Svoboda said. "The Allen Institute has made extraordinary contributions to science and the world, and I'm so excited join this amazing community."

About the Allen Institute for Brain ScienceThe Allen Institute for Brain Science is a division of the Allen Institute (alleninstitute.org), an independent, 501(c)(3) nonprofit medical research organization, and is dedicated to accelerating the understanding of how the human brain works in health and disease. Using a big science approach, the Allen Institute generates useful public resources used by researchers and organizations around the globe, drives technological and analytical advances, and discovers fundamental brain properties through integration of experiments, modeling and theory. Launched in 2003 with a seed contribution from founder and philanthropist, the late Paul G. Allen, the Allen Institute is supported by a diversity of government, foundation and private funds to enable its projects. The Allen Institute for Brain Science's data and tools are publicly available online atbrain-map.org.

Media Contact:Rob Piercy, Director, Media Relations206.548.8486 | press@alleninstitute.org

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Allen Institute Announces New Phase Of Neuroscience Research - Yahoo Finance

Health-Related Quality of Life in Patients After Surgically Treated Mi | TCRM – Dove Medical Press

Slaven Lupi-Ferandin,1 Sandro Glumac,2 Nancy Poljak,3 Tea Galic,4,5 Natalija Ivkovic,6 Ognjen Brborovic,7 Renata Pecotic,5,6 Zoran Dogas5,6

1Department of Maxillofacial and Oral Surgery, University Hospital of Split, Split, Croatia; 2Department of Anesthesiology and Intensive Care, University Hospital of Split, Split, Croatia; 3Study of Dental Medicine, School of Medicine, University of Zagreb, Zagreb, Croatia; 4Study of Dental Medicine, School of Medicine, University of Split, Split, Croatia; 5Department of Neuroscience, School of Medicine, University of Split, Split, Croatia; 6Sleep Medicine Center, School of Medicine, University of Split, Split, Croatia; 7Department of Social Medicine and Organization of Health Care, Andrija Stampar School of Public Health, School of Medicine, University of Zagreb, Zagreb, Croatia

Correspondence: Zoran DogasDepartment of Neuroscience, School of Medicine, University of Split, Soltanska 2, Split 21000, CroatiaTel +385 21557903Fax +385 21557895Email zdogas@gmail.com

Aim: To evaluate the health-related life quality of patients after surgically treated midface fractures.Patients andMethods: This retrospective cohort study compared the 36-Item Short Form Health Survey (SF-36) scores of 42 male patients following surgically treated maxillary or zygomatic fractures with the reported normative data of the SF-36 for the Croatian population.Results: The current study showed that the health-related life quality of surgically treated patients was comparable to similar age, gender, and regional demographics in the Croatian population norm. However, we revealed a significant deterioration of the Emotional wellbeing domain in younger patients (P = 0.03) and a severely affected domain of Physical functioning in older patients (P = 0.049).Conclusion: There was a significant negative psychological impact from facial trauma on younger patients. In contrast, older patients were more prone to physical impairment. Therefore, follow-up visits are an opportunity to screen and refer younger patients to mental health services in a timely manner to prevent severe psychological difficulties and an opportunity to identify older patients who require physical therapy.

Keywords: quality of life, patient outcome assessment, maxillary fractures, zygomatic fractures, surgery, oral

This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

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It’s now or never: Visual events have 100 milliseconds to hit brain target or go unnoticed – National Institutes of Health

News Release

Wednesday, April 8, 2020

NIH mouse study reveals key details about visual processing.

Researchers at the National Eye Institute (NEI) have defined a crucial window of time that mice need to key in on visual events. As the brain processes visual information, an evolutionarily conserved region known as the superior colliculus notifies other regions of the brain that an event has occurred. Inhibiting this brain region during a specific 100-millisecond window inhibited event perception in mice. Understanding these early visual processing steps could have implications for conditions that affect perception and visual attention, like schizophrenia and attention deficit hyperactivity disorder (ADHD). The study was published online in the Journal of Neuroscience. NEI is part of the National Institutes of Health.

One of the most important aspects of vision is fast detection of important events, like detecting threats or the opportunity for a reward. Our result shows this depends on visual processing in the midbrain, not only the visual cortex, said Richard Krauzlis, Ph.D., chief of the Section on Eye Movements and Visual Selection at NEI and senior author of the study.

Visual perception ones ability to know that one has seen something depends on the eye and the brain working together. Signals generated in the retina travel via retinal ganglion cell nerve fibers to the brain. In mice, 85% of retinal ganglion cells connect to the superior colliculus. The superior colliculus provides the majority of early visual processing in these animals. In primates, a highly complex visual cortex takes over more of this visual processing load, but 10% of retinal ganglion cells still connect to the superior colliculus, which manages basic but necessary perceptual tasks.

One of these tasks is detecting that a visual event has occurred. The superior colliculus takes in information from the retina and cortex, and when there is sufficient evidence that an event has taken place in the visual field, neurons in the superior colliculus fire. Classical experiments into perceptual decision-making involve having a subject, like a person or a monkey, look at an image of vertical grating (a series of blurry vertical black and white lines) and decide if or when the grating rotates slightly. In 2018, Krauzlis and Wang adapted these classic experiments for mice, opening up new avenues for research.

Although we have to be cautious translating data from mice to humans, because of the difference in visual systems, mice have many of the same basic mechanisms for event detection and visual attention as humans. The genetic tools available for mice allow us to study how specific genes and neurons are involved in controlling perception, said Lupeng Wang, Ph.D., first author of the study.

In this study, Wang and colleagues used a technique called optogenetics to tightly control the activity of the superior colliculus over time. They used genetically modified mice so that they could turn neurons in the superior colliculus on or off using a beam of light. This on-off switch could be timed precisely, enabling the researchers to determine exactly when the neurons of the superior colliculus were required for detecting visual events. The researchers trained their mice to lick a spout when theyd seen a visual event (a rotation in the vertical grating), and to avoid licking the spout otherwise.

Inhibiting the cells of the superior colliculus made the mice less likely to report that theyd seen an event, and when they did, their decision took longer. The inhibition had to occur within a 100 millisecond (one-tenth of a second) interval after the visual event. If the inhibition was outside that 100-millisecond timeframe, the mouses decisions were mostly unaffected. The inhibition was side-specific: because the retinal cells cross over and connect to the superior colliculus on the opposite side of the head (the left eye is connected to the right superior colliculus and vice versa), inhibiting the right side of the superior colliculus depressed responses to stimuli on the left side, but not on the right.

The ability to temporarily block the transmission of neural signals with such precise timing is one of the great advantages of using optogenetics in mice and reveals exactly when the crucial signals pass through the circuit, said Wang.

Interestingly, the researchers found that the deficits with superior colliculus inhibition were much more pronounced when the mice were forced to ignore things happening elsewhere in their visual field. Essentially, without the activity of the superior colliculus, the mice were unable to ignore distracting visual events. This ability to ignore visual events, called visual attention, is critical for navigating the complex visual environments of the real world.

The superior colliculus is a good target for probing these functions because it has a neatly organized map of the visual world. And it is connected to less neatly organized regions, like the basal ganglia, which are directly implicated in a wide range of neuropsychiatric disorders in humans, said Krauzlis. Its sort of like holding the hand of a friend as you reach into the unknown.

This press release describes a basic research finding. Basic research increases our understanding of human behavior and biology, which is foundational to advancing new and better ways to prevent, diagnose, and treat disease. Science is an unpredictable and incremental process each research advance builds on past discoveries, often in unexpected ways. Most clinical advances would not be possible without the knowledge of fundamental basic research.

NEI leads the federal governments research on the visual system and eye diseases. NEI supports basic and clinical science programs to develop sight-saving treatments and address special needs of people with vision loss. For more information, visit https://www.nei.nih.gov.

About the National Institutes of Health (NIH):NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit http://www.nih.gov.

NIHTurning Discovery Into Health

Wang L, McAlonan K, Goldstein S, Gerfen C, and Krauzlis R. A causal role for mouse superior colliculus in visual perceptual decision-making. J. Neurosci. Epub Apr 6, 2020 doi: 10.1523/JNEUROSCI.2642-19.2020

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It's now or never: Visual events have 100 milliseconds to hit brain target or go unnoticed - National Institutes of Health

Allergic Itching "Turned On" by Common Skin Protein – Technology Networks

A commonly expressed protein in skin periostin can directly activate itch-associated neurons in the skin, according to new research from North Carolina State University. The researchers found that blocking periostin receptors on these neurons reduced the itch response in a mouse model of atopic dermatitis, or eczema. The findings could have implications for treatment of this condition.Itch sensations are transmitted from neuronal projections in the skin through the dorsal root ganglia (DRG) which are clusters of sensory cells located at the root of the spinal nerves then to the spinal cord.

We have found that periostin, a protein that is produced abundantly in skin as part of an allergic response, can interact directly with sensory neurons in the skin, effectively turning on the itch response, says Santosh Mishra, assistant professor of neuroscience at NC State and lead author of a paper on the work. Additionally, we identified the neuronal receptor that is the initial connection between periostin and itch response.

Mishra and a team including colleagues from NC State, Wake Forest University and Duke University identified a receptor protein called v3, which is expressed on sensory neurons in skin, as the periostin receptor.

In a chemically-induced mouse model of atopic dermatitis, the team found that exposure to common allergens such as dust mites increased periostin production in skin, exacerbating the itch response. However, when the researchers turned off the receptor protein, itch was significantly reduced.

Periostin and its receptor connect the skin directly to the central nervous system, Mishra says. We have identified the first junction in the itch pathway associated with eczema. If we can break that connection, we can relieve the itch.ReferenceMishra et al. (2020) Periostin Activation of Integrin Receptors on Sensory Neurons Induces Allergic Itch. Cell Reports. DOI: https://doi.org/10.1016/j.celrep.2020.03.036

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Allergic Itching "Turned On" by Common Skin Protein - Technology Networks

Designing Leadership Models That Actually Work With Andrea Derler And Kamila Sip: The NLI Interview – Forbes

Designing sticky, meaningful, and coherent leadership models makes it easier for leaders to adopt ... [+] and practice them.

If theres one lesson business leaders can draw from the COVID-19 pandemic, its that behavior change is hard.

In countries all around the world, government leaders have spent the last few weeks pleading with their citizens to stop gathering in public and stay home. Yet in the United States, Italy, and elsewhere, thousands of people ignored these injunctions, choosing instead to crowd together in parks, casinos, and beaches as if nothing had changed. If presidents, governors, and mayors cant convince their citizens to observe social distancing protocols that will literally save their lives, then what hope is there for organizations to change their cultures?

But whether the stakes are life-and-death, like slowing the spread of a deadly virus, or aspirational and human like transforming an organizations culture to empower leaders to perform at their best evidence shows that real behavior change is possible. Its all a matter of how you approach it.

For organizations, changing behavior usually involves defining a leadership model a set of phrases intended to guide leaders behaviors across an organization. But research by the NeuroLeadership Institute has found that most leadership models tend to be long, convoluted, and difficult to remember, often consisting of dozens of complex and contradictory behaviors. Since they are not clear or memorable, they fail to successfully guide behavior in critical leadership situations.

So how do you build a leadership model that actually works one designed with the brain in mind to successfully guide leaders behavior?

I sat down with Andrea Derler, NLIs Director of Industry Research, and Kamila Sip, NLIs Director of Neuroscience Research, to talk about how to design leadership models that are not just relevant, but actually useful for guiding leaders behaviors and decisions.

This interview has been lightly edited for length and clarity.

NLI: How do you define leadership models?

Kamila Sip: Leadership models are sets of phrases that guide leadership behavior across an organization. They answer the question, What do leaders need to be reminded about most frequently?

Leadership models should focus on behavior rather than lofty values or mission statements. As we've learned in our new research, leadership models are useful only if leaders actually apply them in their daily work.

Andrea Derler: The reason we need leadership models is that most organizations expect their leaders to act in a certain way. Leadership models are descriptions of what leaders should prioritize as they manage teams and businesses, how they should lead employees to execute the strategy, or how theyre expected to build a certain culture and follow the organizations mission and purpose.

NLI: Tell me about your research. What did you set out to study and how did you do it?

Andrea Derler: We conducted this research to learn about the current state of leadership models in organizations. We wanted to understand the design process, as well as the qualities of typical models and, most importantly, how leaders the ones who are expected to demonstrate the behaviors listed in the models perceive and use leadership models.

We conducted structured interviews with 20 HR and talent leaders, as well as a survey of 568 business and HR leaders across various organizations and industries.

With the HR leaders, we looked at the leadership model design process, what models typically look like, how they're rolled out, and what obstacles leaders face in designing leadership models that work.

The business leaders, managers, and individuals in our survey were asked about their perception of their organizations leadership models, and if, how, and when they apply the content of their models in everyday leadership situations.

NLI: So what are organizations getting wrong in designing these models?

Andrea Derler: We were struck by how few leaders are actually using their organizations leadership models. Considering the amount of time, resources, and energy organizations put into designing them, its striking how many leadership models end up getting shelved. Our research shows that only 38% of individuals take action on their models once or twice a week. I'm sure organizations would prefer that number to be higher.

Getting back to your question, What typically goes wrong when models are designed? We learned that there are many things organizations get wrong in the design process.

First, instead of focusing on what their business actually needs, they allow themselves to be influenced by dozens of external models, theories, and frameworks. Or they engage in lengthy processes with just the top leadership teams, creating long exhaustive models nobody can remember, let alone roll out. The result is that the model then never gets implemented in the learning strategy. Thats because leadership models are often designed in a vacuum, without the end user in mind.

Along these lines, we found that 44% of companies have models with more than 20 behaviors! This may explain why only 17% of leaders find their models easy to remember. Leaders are so overwhelmed by the sheer number of behaviors and by the complexity of expectations and descriptions that in the end, they cant even remember them, let alone apply them in their work.

Kamila Sip: Exactly. The second issue is that only 27% of individuals consider their leadership model meaningful! This suggests a bigger problem. If we expect people to demonstrate leadership behaviors in their everyday work, they need to be designed with peoples actual work, objectives, teams, and challenges in mind.

Our research showed that only 31% of design teams involved the business in designing leadership models. Thats a problem.

Although we learned in our research that design teams are often not diverse enough to come up with the right phrases, we believe that leadership models that reflect a diverse pool of stakeholders, from various parts of the business, capture the voice of the business better than can those designed by the top 1% of the company.

Why? Because the few on the top may focus on the wrong things, assuming they're representative of what good leadership looks like in everyday business situations. For example, conducted focus groups with a multi-national insurance company, consisting of 100 people from across the globe and including almost every sector of their business.

Finally, we learned that very few leaders use their leadership models in everyday situations. Three qualities predict whether leaders use their leadership models more often; being sticky, meaningful, and coherent. Our data suggest that when models are perceived as sticky, meaningful, and coherent with theother objectives of the business, leaders use them more often.

Lets unpack what this means in practice. It means organizations that want their people to change their behavior should design leadership models with three questions in mind. Can I remember this? Do I care about this? And does this fit with what I'm asked to do?

NLI: So why is it that leadership models need to be sticky, meaningful, and coherent?

Kamila Sip: From a scientific perspective, we know that for a leadership model to be "sticky", it cant be complicated, wordy, and hard to remember. Thats because the brain has limited cognitive capacity at any point in time, a limitation that impacts how efficiently we can process information. Information thats easy to recall eats up less brainpower, which makes us more able to act in accordance with the message.

However, being sticky is not enough. To motivate leaders to act on them, models also need to be meaningful. If leaders actually feel they can succeed in applying the models to their daily behavior and the outcomes are meaningful to them, theyre then more motivated to actually think and act in accordance with the model.

Third, leadership models need to be coherent with the companys other expectations. For example, if members of a sales team are stack-ranked against each other that is, rewarded for individual success and for ranking higher than their colleagues then a leadership model emphasizing collaboration and teamwork could be perceived as incoherent.

When organizations create decoherence through conflicting objectives, employees experience cognitive dissonance a mental discomfort when beliefs, expectations, values, or actions dont fit together.

NLI: What are the next steps in your research?

Andrea Derler: Understanding the reality of behavior change will remain NLIs theme this year and beyond. This research on brain-based leadership models is one step in a larger sequence of research. Next, well address why design teams experience the pitfalls we described, and provide more detailed benchmarks for the design process itself providing insights about who should be part of design teams and the duration and nature of rollouts.

But the behavior guidelines that leadership models provide are just one component in NLI's brain-friendly framework for behavior change. In the coming months, well also be studying the importance of habits and the role of systems. Our ultimate goal is to gain a more comprehensive understanding of how insights from neuroscience and other cognitive sciences can inform our understanding of the complexity of culture and behavior change.

Andrea Derler, Ph.D., NLIs Director of Industry Research, collaborates with scientists, consultants, and HR and business leaders to produce science-based, practical insights about people in organizations.

Kamila Sip, Ph.D., NLIs Director of Neuroscience Research, is a neuroscientist with expertise in decision making, unconscious bias, and change management that she implements into simple solutions to further effective behavior change at scale.

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Designing Leadership Models That Actually Work With Andrea Derler And Kamila Sip: The NLI Interview - Forbes

Neuroscientists find memory cells that help us interpret new situations – MIT News

Imagine you are meeting a friend for dinner at a new restaurant. You may try dishes you havent had before, and your surroundings will be completely new to you. However, your brain knows that you have had similar experiences perusing a menu, ordering appetizers, and splurging on dessert are all things that you have probably done when dining out.

MIT neuroscientists have now identified populations of cells that encode each of these distinctive segments of an overall experience. These chunks of memory, stored in the hippocampus, are activated whenever a similar type of experience takes place, and are distinct from the neural code that stores detailed memories of a specific location.

The researchers believe that this kind of event code, which they discovered in a study of mice, may help the brain interpret novel situations and learn new information by using the same cells to represent similar experiences.

When you encounter something new, there are some really new and notable stimuli, but you already know quite a bit about that particular experience, because its a similar kind of experience to what you have already had before, says Susumu Tonegawa, a professor of biology and neuroscience at the RIKEN-MIT Laboratory of Neural Circuit Genetics at MITs Picower Institute for Learning and Memory.

Tonegawa is the senior author of the study, which appears today in Nature Neuroscience. Chen Sun, an MIT graduate student, is the lead author of the paper. New York University graduate student Wannan Yang and Picower Institute technical associate Jared Martin are also authors of the paper.

Encoding abstraction

It is well-established that certain cells in the brains hippocampus are specialized to store memories of specific locations. Research in mice has shown that within the hippocampus, neurons called place cells fire when the animals are in a specific location, or even if they are dreaming about that location.

In the new study, the MIT team wanted to investigate whether the hippocampus also stores representations of more abstract elements of a memory. That is, instead of firing whenever you enter a particular restaurant, such cells might encode dessert, no matter where youre eating it.

To test this hypothesis, the researchers measured activity in neurons of the CA1 region of the mouse hippocampus as the mice repeatedly ran a four-lap maze. At the end of every fourth lap, the mice were given a reward. As expected, the researchers found place cells that lit up when the mice reached certain points along the track. However, the researchers also found sets of cells that were active during one of the four laps, but not the others. About 30 percent of the neurons in CA1 appeared to be involved in creating this event code.

This gave us the initial inkling that besides a code for space, cells in the hippocampus also care about this discrete chunk of experience called lap 1, or this discrete chunk of experience called lap 2, or lap 3, or lap 4, Sun says.

To further explore this idea, the researchers trained mice to run a square maze on day 1 and then a circular maze on day 2, in which they also received a reward after every fourth lap. They found that the place cells changed their activity, reflecting the new environment. However, the same sets of lap-specific cells were activated during each of the four laps, regardless of the shape of the track. The lap-encoding cells activity also remained consistent when laps were randomly shortened or lengthened.

Even in the new spatial locations, cells still maintain their coding for the lap number, suggesting that cells that were coding for a square lap 1 have now been transferred to code for a circular lap 1, Sun says.

The researchers also showed that if they used optogenetics to inhibit sensory input from a part of the brain called the medial entorhinal cortex (MEC), lap-encoding did not occur. They are now investigating what kind of input the MEC region provides to help the hippocampus create memories consisting of chunks of an experience.

Two distinct codes

These findings suggest that, indeed, every time you eat dinner, similar memory cells are activated, no matter where or what youre eating. The researchers theorize that the hippocampus contains two mutually and independently manipulatable codes, Sun says. One encodes continuous changes in location, time, and sensory input, while the other organizes an overall experience into smaller chunks that fit into known categories such as appetizer and dessert.

We believe that both types of hippocampal codes are useful, and both are important, Tonegawa says. If we want to remember all the details of what happened in a specific experience, moment-to-moment changes that occurred, then the continuous monitoring is effective. But on the other hand, when we have a longer experience, if you put it into chunks, and remember the abstract order of the abstract chunks, thats more effective than monitoring this long process of continuous changes.

The new MIT results significantly advance our knowledge about the function of the hippocampus, says Gyorgy Buzsaki, a professor of neuroscience at New York University School of Medicine, who was not part of the research team.

These findings are significant because they are telling us that the hippocampus does a lot more than just representing space or integrating paths into a continuous long journey, Buzsaki says. From these remarkable results Tonegawa and colleagues conclude that they discovered an event code, dedicated to organizing experience by events, and that this code is independent of spatial and time representations, that is, jobs also attributed to the hippocampus.

Tonegawa and Sun believe that networks of cells that encode chunks of experiences may also be useful for a type of learning called transfer learning, which allows you to apply knowledge you already have to help you interpret new experiences or learn new things. Tonegawas lab is now working on trying to find cell populations that might encode these specific pieces of knowledge.

The research was funded by the RIKEN Center for Brain Science, the Howard Hughes Medical Institute, and the JPB Foundation.

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Neuroscientists find memory cells that help us interpret new situations - MIT News

Finding new approaches for emotional wellness – News from southeastern Connecticut – theday.com

As a mother who lost her son to addiction, I am always wondering how we can prioritize prevention and promote healthy behaviors at an early age? I came upon an old blog post in Psychology Today, April 16, 2010, by Ronald Alexander, author of "Wise Mind, Open Mind: Finding Purpose and Meaning in Times of Crisis, Loss, and Change" that discusses mindful meditation and how it creates new neural pathways in the brain.

In my opinion, this approach is the future of prevention, treatment and recovery. Firmlybased in neuroscience, it can teach kids the skills needed to regulate their stress and emotion, for positive relationships, and act with kindness, confidence and compassion. Through these methods children become empowered to achieve long-term success in every aspect of their lives.

I recently learned that the Goldie Hawn Foundation has an organization called MindUP with the goal of "empowering children through mindful practice based in neuroscience." It hastools for schools, teachers and parents.

I amhappy to see iconic people using their influenceand resources for good and hope our local schools and families will consider these scienced-based approaches to building lifelong protective wellnessbehaviors in our children.

Ceci Iliff

Norwich

Editor's note: Ceci Iliff is the founder of TheCharityChallenge.Net and an advisory board member of TriCircle Inc. of Middlefield.

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Finding new approaches for emotional wellness - News from southeastern Connecticut - theday.com

MIT neuroscientists identify memory cells that help us interpret novel situations – News-Medical.net

Reviewed by Emily Henderson, B.Sc.Apr 6 2020

Imagine you are meeting a friend for dinner at a new restaurant. You may try dishes you haven't had before, and your surroundings will be completely new to you. However, your brain knows that you have had similar experiences -- perusing a menu, ordering appetizers, and splurging on dessert are all things that you have probably done when dining out.

MIT neuroscientists have now identified populations of cells that encode each of these distinctive segments of an overall experience. These chunks of memory, stored in the hippocampus, are activated whenever a similar type of experience takes place, and are distinct from the neural code that stores detailed memories of a specific location.

The researchers believe that this kind of "event code," which they discovered in a study of mice, may help the brain interpret novel situations and learn new information by using the same cells to represent similar experiences.

When you encounter something new, there are some really new and notable stimuli, but you already know quite a bit about that particular experience, because it's a similar kind of experience to what you have already had before."

Susumu Tonegawa, professor of biology and neuroscience at the RIKEN-MIT Laboratory of Neural Circuit Genetics at MIT's Picower Institute for Learning and Memory

Tonegawa is the senior author of the study, which appears today in Nature Neuroscience. Chen Sun, an MIT graduate student, is the lead author of the paper. New York University graduate student Wannan Yang and Picower Institute technical associate Jared Martin are also authors of the paper.

It is well-established that certain cells in the brain's hippocampus are specialized to store memories of specific locations. Research in mice has shown that within the hippocampus, neurons called place cells fire when the animals are in a specific location, or even if they are dreaming about that location.

In the new study, the MIT team wanted to investigate whether the hippocampus also stores representations of more abstract elements of a memory. That is, instead of firing whenever you enter a particular restaurant, such cells might encode "dessert," no matter where you're eating it.

To test this hypothesis, the researchers measured activity in neurons of the CA1 region of the mouse hippocampus as the mice repeatedly ran a four-lap maze. At the end of every fourth lap, the mice were given a reward. As expected, the researchers found place cells that lit up when the mice reached certain points along the track. However, the researchers also found sets of cells that were active during one of the four laps, but not the others. About 30 percent of the neurons in CA1 appeared to be involved in creating this "event code."

"This gave us the initial inkling that besides a code for space, cells in the hippocampus also care about this discrete chunk of experience called lap 1, or this discrete chunk of experience called lap 2, or lap 3, or lap 4," Sun says.

To further explore this idea, the researchers trained mice to run a square maze on day 1 and then a circular maze on day 2, in which they also received a reward after every fourth lap. They found that the place cells changed their activity, reflecting the new environment. However, the same sets of lap-specific cells were activated during each of the four laps, regardless of the shape of the track. The lap-encoding cells' activity also remained consistent when laps were randomly shortened or lengthened.

"Even in the new spatial locations, cells still maintain their coding for the lap number, suggesting that cells that were coding for a square lap 1 have now been transferred to code for a circular lap 1," Sun says.

The researchers also showed that if they used optogenetics to inhibit sensory input from a part of the brain called the medial entorhinal cortex (MEC), lap-encoding did not occur. They are now investigating what kind of input the MEC region provides to help the hippocampus create memories consisting of chunks of an experience.

These findings suggest that, indeed, every time you eat dinner, similar memory cells are activated, no matter where or what you're eating. The researchers theorize that the hippocampus contains "two mutually and independently manipulatable codes," Sun says. One encodes continuous changes in location, time, and sensory input, while the other organizes an overall experience into smaller chunks that fit into known categories such as appetizer and dessert.

"We believe that both types of hippocampal codes are useful, and both are important," Tonegawa says. "If we want to remember all the details of what happened in a specific experience, moment-to-moment changes that occurred, then the continuous monitoring is effective. But on the other hand, when we have a longer experience, if you put it into chunks, and remember the abstract order of the abstract chunks, that's more effective than monitoring this long process of continuous changes."

Tonegawa and Sun believe that networks of cells that encode chunks of experiences may also be useful for a type of learning called transfer learning, which allows you to apply knowledge you already have to help you interpret new experiences or learn new things. Tonegawa's lab is now working on trying to find cell populations that might encode these specific pieces of knowledge.

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MIT neuroscientists identify memory cells that help us interpret novel situations - News-Medical.net

Allen Institute Announces New Phase Of Neuroscience Research – Chinook Observer

SEATTLE, April 6, 2020 /PRNewswire/ -- The Allen Institute today announced new phases of research for its largest division, the Allen Institute for Brain Science, as well as a leader hired to direct a new neuroscience-related division of the Institute.

This change reflects a structural transition for the Allen Institute for Brain Science as it nears the end of its current 10-year scientific timeline. Established in 2003, the Allen Institute for Brain Science has grown to more than 300 researchers and staff working in two broad research programs.

The larger of these groups, the Cell Types program, will move into a new 16-year phase that builds on the team's success in working toward a "periodic table" of brain cell types. In this new phase, the Allen Institute for Brain Science will focus solely on brain cell types and connectivity research. The MindScope Program, which seeks to understand how the brain's neural circuits produce the sense of vision, will also move into a new phase of discovery and will transition out of the Allen Institute for Brain Science to become a separate program of the Allen Institute.

"Through the vision and guidance of our late founder, Paul G. Allen, our model has always been to find scientific problems where our particular flavor of big, team and open science can have the greatest impact," said Allan Jones, Ph.D., President and Chief Executive Officer of the Allen Institute. "As we shift into the next phase of our neuroscience research, I am confident that our teams will continue to push the boundaries of discovery and create invaluable resources for the community."

Christof Koch, Ph.D., currently the President and Chief Scientist of the Allen Institute for Brain Science, will continue to lead the MindScope Program as its Chief Scientist. Hongkui Zeng, Ph.D., currently Executive Director of Structured Science, will lead the cell types and connectivity research as the Executive Vice President, Director of the Allen Institute for Brain Science.

Additionally, renowned neuroscientist Karel Svoboda, Ph.D., will join the Allen Institute in 2021 to lead a new division of the Institute, which will launch in 2022 and will focus on research related to neural computation and dynamics.

The Allen Institute for Brain Science's next phaseThe Allen Brain Observatory, established under Koch's leadership, was built to understand how the brain stores, encodes and processes information, using the mouse visual system as a model for understanding. Koch will continue to lead Observatory projects and direct a team of researchers under the MindScope Program.

"After spending the past eight years building up the tools (such as MesoScope and Neuropixels), instrumental recording capabilities and data analysis pipelines of the Allen Brain Observatory, we are now ready over the next five years to harvest the scientific insights into how the mouse cortex, 14 million complex neurons packed into the volume of a tenth of a sugar cube, represent and evaluate incoming visual information to rapidly and robustly control the behavior and the perception of the mouse," Koch said. "I'm looking forward to dedicating my efforts to this exciting area of research in the years ahead."

Zeng has been a neuroscientist at the Allen Institute since 2006 and leads several projects aiming to create a periodic table of cell types in the brain. Under her leadership, the Allen Institute for Brain Science will now dedicate its focus to defining comprehensive catalogs of mouse and human brain cell types, understanding how different cell types arise through development and evolution, and how they connect and function in health and in disease. The division will generate brain atlases, tools and foundational knowledge for the neuroscience community. Zeng is also the principal investigator on several large National Institutes of Health-funded research projects and programs, which she will continue to lead in her new role.

"I am honored to lead the Allen Institute for Brain Science, and I am confident our researchers will continue to lead their fields as we work together to tackle new and challenging scientific questions," Zeng said. "Our teams have made incredible progress in the past decade in our quest to identify the 'parts lists' of the mouse and human brains and how these parts are connected into the 'Google map' of the brain. Information gained from these efforts opens up unprecedented opportunities for us to look deeper into how brain works. I'm excited to help bring our endeavor to the next level."

A new Institute coming in 2022The Allen Institute's newest division is slated to launch in 2022 and will focus on neural computation and dynamics, with a more specific vision to be developed in several planning sessions this year and next. The new division, led by Svoboda, will focus on making new discoveries and solving hard problems in neural computation.

Svoboda is currently a senior group leader at The Howard Hughes Medical Institute's Janelia Research Campus, where his lab studies synaptic plasticity and develops new technologies and tools. He was previously a professor at Cold Spring Harbor Laboratory, completed a postdoctoral fellowship at Bell Labs and earned his Ph.D. in biophysics from Harvard University. He has served as a member of the Allen Institute for Brain Science's scientific advisory councils over the past 10 years.

"Over the years as a frequent visitor and advisor to the Allen Institute, I have grown to know and value its unique intellectual culture," Svoboda said. "The Allen Institute has made extraordinary contributions to science and the world, and I'm so excited join this amazing community."

About the Allen Institute for Brain ScienceThe Allen Institute for Brain Science is a division of the Allen Institute (alleninstitute.org), an independent, 501(c)(3) nonprofit medical research organization, and is dedicated to accelerating the understanding of how the human brain works in health and disease. Using a big science approach, the Allen Institute generates useful public resources used by researchers and organizations around the globe, drives technological and analytical advances, and discovers fundamental brain properties through integration of experiments, modeling and theory. Launched in 2003 with a seed contribution from founder and philanthropist, the late Paul G. Allen, the Allen Institute is supported by a diversity of government, foundation and private funds to enable its projects. The Allen Institute for Brain Science's data and tools are publicly available online atbrain-map.org.

Media Contact:Rob Piercy, Director, Media Relations206.548.8486 | press@alleninstitute.org

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Allen Institute Announces New Phase Of Neuroscience Research - Chinook Observer