It’s possible that I shall make an ass of myself. But in that case one can always get out of it with a little dialectic. I have, of course, so worded my proposition as to be right either way (K.Marx, Letter to F.Engels on the Indian Mutiny)
Thursday, May 23, 2024
Psychedelic drug-induced hyperconnectivity in the brain helps clarify altered subjective experiences
A first of its kind imaging study in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging provides insights into how the brain works on psychedelic drugs and their potential use to treat psychiatric disorders
HEY MAN AM I IN YOUR HEAD OR ARE YOU IN MINE?!
ELSEVIER
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A NEW STUDY FINDS A PATTERN OF PSILOCYBIN-INDUCED DYNAMIC HYPERCONNECTIVITY IN THE BRAIN, WHICH IS LINKED TO OCEANIC BOUNDLESSNESS.
CREDIT: BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING
Philadelphia, May 23, 2024 – A new study shows that the use of psilocybin, a compound found in the widely known “magic mushrooms,” initiates a pattern of hyperconnectivity in the brain linked to the ego-modifying effects and feelings of oceanic boundlessness. The findings, appearing in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, published by Elsevier, help explain the so-called mystical experiences people report during the use of psychedelics and are pertinent to the psychotherapeutic applications of psychedelic drugs to treat psychiatric disorders such as depression.
The concept of oceanic boundlessness refers to a sense of unity, blissfulness, insightfulness, and spiritual experience often associated with psychedelic sessions.
In one of the first brain imaging studies in psychedelic research, investigators found a specific association between the experiential, psychedelic state and whole-brain dynamic connectivity changes. While previous research has shown increases in static global brain connectivity under psychedelics, the current study shows that this state of hyperconnectivity is dynamic (changing over time) and its transition rate coincides with the feeling of oceanic boundlessness, a hallmark dimension of the psychedelic state.
Lead investigator Johannes G. Ramaekers, PhD, Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, says, "Psilocybin has been one of the most studied psychedelics, possibly due to its potential contribution in treating different disorders, such as obsessive-compulsive disorder, death-related anxiety, depression, treatment-resistant depression, major depressive disorder, terminal cancer-associated anxiety, demoralization, smoking, and alcohol and tobacco addiction. What was not fully understood is what brain activity is associated with these profound experiences."
Psilocybin generates profound alterations both at the brain and the experiential level. The brain's tendency to enter a hyperconnected-hyperarousal pattern under psilocybin represents the potential to entertain variant mental perspectives. The findings of the new study illuminate the intricate interplay between brain dynamics and subjective experience under psilocybin, providing insights into the neurophysiology and neuro-experiential qualities of the psychedelic state.
Dr. Ramaekers adds, "Taken together, averaged and dynamic connectivity analyses suggest that psilocybin alters brain function such that the overall neurobiological pattern becomes functionally more connected, more fluid, and less modular."
Previously acquired functional magnetic resonance imaging (fMRI) data were analyzed for two groups of people; one group of 22 individuals received a single dose of psilocybin, the other 27 participants received a placebo. During the drug's peak effects, participants who received psilocybin reported substantial phenomenological changes compared to placebo. Also, brain connectivity analysis showed that a pattern characterized by global region-to-region connectivity was re-appearing across the acquisition time in the psilocybin group, potentially accounting for the variant mental associations that participants experience.
Moreover, this hyperconnected pattern was linked to oceanic boundlessness and unity, which indicates an important mapping between brain dynamics and subjective experience, pointing towards “egotropic effects” (vs hallucinergic) of the drug.
PhD candidate and co-author of the paper Larry Fort, University of Liège, emphasizes: “Psychedelic drugs like psilocybin are often referred to as hallucinogens both scientifically and colloquially. As such, we expected that the hallucinatory dimensions of experience would correlate the highest with psilocybin’s hyperconnected pattern. However, hallucinatory experience had a strong, but weaker correlation with this pattern than ego-modifying experiences. This led us to formulate the term ‘egotropic’ to draw attention to these ego-modifying effects as important, perhaps even more so than their hallucinogenic counterparts.”
Editor-in-Chief of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging Cameron S. Carter, MD, University of California Irvine, comments, “This study uses readily available resting state fMRI images acquired after psilocybin ingestion to provide new insights into the neurophysiological mechanisms underlying the subjective and clinical effects of the drug. It sets the stage for future studies using other psychedelic agents to examine whether the dynamic connectivity effects reflect a general mechanism for the therapeutic effects of these compounds.
Lead investigator Athena Demertzi, PhD, Physiology of Cognition, GIGA-CRC In Vivo Imaging Center, University of Liège, adds, "We were pleasantly surprised to learn that the brain pattern of hyperconnected regions was further characterized by lower global signal amplitude, which works as a proxy to heightened cortical arousal. So far, this is the first time that such approximation of arousal levels using fMRI was attempted in psychedelic research. This might be an important correlation as we move towards a full characterization of brain states under psychedelics."
She concludes, "Given the resurgence in research regarding the psychotherapeutic applications of psychedelic drugs, our results are pertinent to understanding how subjective experience under psychedelics influences beneficial clinical outcomes. Is the effect driven by ego-dissolution? By hallucinations? As such, our work exemplifies how the strong inter-relatedness between egotropic effects of moderate dose psilocybin and its hyperconnected brain pattern can inform clinical focus on specific aspects of phenomenology, such as ego-dissolutions. With this information, healthcare professionals may learn how to best engineer psychedelic therapy sessions to produce the best clinical outcomes."
JOURNAL
Biological Psychiatry Cognitive Neuroscience and Neuroimaging
Dynamic Functional Hyperconnectivity after Psilocybin Intake Is Primarily Associated with Oceanic Boundlessness
ARTICLE PUBLICATION DATE
6-Apr-2024
COI STATEMENT
The authors’ affiliations and disclosures of financial and conflicts of interests are available in the article. Cameron S. Carter, MD, is Chair of the Department of Psychiatry & Human Behavior at the University of California, Irvine School of Medicine. His disclosures of financial and conflicts of interests are available at http://www.biologicalpsychiatrycnni.org/bpsc-editorial-disclosures.
A.I.
AI poised to usher in new level of concierge services to the public
Researchers explore how intelligent systems can upgrade hospitality sector
OHIO STATE UNIVERSITY
COLUMBUS, Ohio – Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests.
In the first work to introduce the concept, researchers have outlined the role an AI concierge, a technologically advanced assistant, may play in various areas of the service sector as well as the different forms such a helper might embody.
Their paper envisions a virtual caretaker that, by combining natural language processing, behavioral data and predictive analytics, would anticipate a customer’s needs, suggest certain actions, and automate routine tasks without having to be explicitly commanded to do so.
Though such a skilled assistant is still years away, Stephanie Liu, lead author of the paper and an associate professor of hospitality management at The Ohio State University, and her colleagues drew insight from several contemporary fields, including service management, psychology, human-computer interaction and ethics research, to detail what opportunities and challenges might arise from having an AI concierge manage human encounters.
“The traditional service industry uses concierges for high-end clients, meaning that only a few people have access to them,” Liu said. “Now with the assistance of AI technology, everybody can have access to a concierge providing superior experiences.”
On that premise, the benefits of incorporating AI into customer service are twofold: It would allow companies to offer around-the-clock availability and consistency in their operations as well as improve how individuals engage with professional service organizations, she said.
Moreover, as the younger workforce gravitates to more tech-oriented jobs and global travel becomes more common, generative AI could be an apt solution to deal with the escalating demands of evolving hospitality trends, said Liu.
“The development of AI technology for hotels, restaurants, health care, retail and tourism has a lot of potential,” she said.
Despite the social and economic benefits associated with implementing such machines, how effective AI concierges may be at completing a task is dependent on both the specific situation and the type of interface consumers use, said Liu.
There are four primary forms a smart aide might take, each with distinctive attributes that would provide consumers with different levels of convenience, according to Liu.
The first type is a dialogue interface that uses only text or speech to communicate, such as ChatGPT, a conversational agent often used to make inquiries and garner real-time assistance. Many of these interactive devices are already used in hotels and medical buildings for contactless booking or to connect consumers with other services and resources.
The second is a virtual avatar that employs a vivid digital appearance and a fully formed persona to foster a deeper emotional connection with the consumer. This method is often utilized for telehealth consultations and online learning programs.
The third iteration is a holographic projection wherein a simulated 3D image is brought into the physical world. According to the paper, this is ideally suited for scenarios where the visual impact is desired, but physical assistance itself is not necessary.
The paper rounds out the list by suggesting an AI concierge that would present as a tangible, or touchable robot. This form would offer the most human-like sensory experiences and would likely be able to execute multiple physical tasks, like transporting heavy luggage.
Some international companies have already developed these cutting-edge tools for use in a limited capacity. One robotic concierge,known as Sam, was designed to aid those in senior living communities by helping them check in, make fall risk assessments and support staff with non-medical tasks. Another deployed at South Korea’s Incheon International Airport helped consumers navigate paths to their destination and offered premier shopping and dining recommendations.
Yet as advanced computing algorithms become more intertwined in our daily lives, industry experts will likely have to consider consumer privacy concerns when deciding when and where to implement these AI systems. One way to deal with these issues would be to create the AI concierge with limited memory or other safewalls to protect stored personal data, such as identity and financial information, said Liu.
“Different companies are at different stages with this technology,” said Liu. “Some have robots that can detect customers’ emotions or take biometric inputs and others have really basic ones. It opens up a totally different level of service that we have to think critically about.”
What’s more, the paper notes that having a diversity of concierge options available for consumers to choose from is also advantageous from a mental health standpoint.
Because AI is viewed as having less agency than their human counterparts, it might help mitigate psychologically uncomfortable service situations that could arise because of how consumers feel they might be perceived by a human concierge. This reduced apprehension regarding the opinion of a machine may encourage heightened comfort levels and result in more favorable responses about the success of the AI concierge, said Liu.
Ultimately, there’s still much multidisciplinary testing to be done to ensure these technologies can be applied in a widespread and equitable manner. Liu adds that future research should seek to determine how certain design elements, such as the perceived gender, ethnicity or voice of these robotic assistants, would impact overall consumer satisfaction.
AI concierge in the customer journey: what is it and how can it add value to the customer?
Artificial intelligence resolves conflicts impeding animal behavior research
Algorithm automates research and reconciles differing results that often arise between various studies.
UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE/UW MEDICINE
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NEUROBIOLOGY RESEARCHERS SAM GOLDEN AND NASTACIA GOODWIN REVIEW LIGHT SHEET FLUORESCENT MICROSCOPY BRAIN IMAGES REVEALING THE ACTIVITY OF INDIVIDUAL NEURONS DURING DIFFERENT BEHAVIORS. THEY ARE IN A RESEARCH LABORATORY IN THE DEPARTMENT OF BIOLOGICAL STRUCTURE AT THE UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE IN SEATTLE.
Artificial intelligence software has been developed to rapidly analyze animal behavior so that behaviors can be more precisely linked to the activity of individual brain circuits and neurons, researchers in Seattle report.
The program promises not only to speed research into the neurobiology of behavior, but also to enable comparison and reconcile results that disagree due to differences in how individual laboratories observe, analyze and classify behaviors, said Sam Golden, assistant professor of biological structure at the University of Washington School of Medicine.
“The approach allows labs to develop behavioral procedures however they want and makes it possible to draw general comparisons between the results of studies that use different behavioral approaches,” he said.
A paper describing the program appears in the journal Nature Neuroscience. Golden and Simon Nilsson, a postdoctoral fellow in the Golden lab, are the paper’s senior authors. The first author is Nastacia Goodwin, a graduate student in the lab.
The study of the neural activity behind animal behavior has led to major advances in the understanding and treatment of such human disorders as addiction, anxiety and depression.
Much of this work is based on observations painstakingly recorded by individual researchers who watch animals in the lab and note their physical responses to different situations, then correlate that behavior with changes in brain activity.
For example, to study the neurobiology of aggression, researchers might place two mice in an enclosed space and record signs of aggression. These would typically include observations of the animals’ physical proximity to one another, their posture, and physical displays such as rapid twitching, or rattling, of the tail.
Annotating and classifying such behaviors is an exacting, protracted task. It can be difficult to accurately recognize and chronicle important details, Golden said. “Social behavior is very complicated, happens very fast and often is nuanced, so a lot of its components can be lost when an individual is observing it.”
To automate this process, researchers have developed AI-based systems to track components of an animal’s behavior and automatically classify the behavior, for example, as aggressive or submissive.
Because these programs can also record details more rapidly than a human, it is much more likely that an action can be closely correlated with neural activity, which typically occurs in milliseconds.
One such program, developed by Nilsson and Goodwin, is called SimBA, for Simple Behavioral Analysis. The open-source program features an easy-to-use graphical interface and requires no special computer skills to use. It has been widely adopted by behavioral scientists.
“Although we built SimBA for a rodent lab, we immediately started getting emails from all kinds of labs: wasp labs, moth labs, zebrafish labs,” Goodwin said.
But as more labs used these programs, the researchers found that similar experiments were yielding vastly different results.
“It became apparent that how any one lab or any one person defines behavior is pretty subjective, even when attempting to replicate well-known procedures,” Golden said.
Moreover, accounting for these differences was difficult because it is often unclear how AI systems arrive at their results, their calculations occurring in what is often characterized as “a black box.”
Hoping to explain these differences, Goodwin and Nilsson incorporated into SimBA a machine-learning explainability approach that produces what is called the Shapely Additive exPlanations (SHAP) score.
Essentially what this explainability approach does is determine how removing one feature used to classify a behavior, say tail rattling, changes the probability of an accurate prediction by the computer.
By removing different features from thousands of different combinations, SHAP can determine how much predictive strength is provided by any individual feature used in the algorithm that is classifying the behavior. The combination of these SHAP values then quantitatively defines the behavior, removing the subjectivity in behavioral descriptions.
“Now we can compare (different labs’) respective behavioral protocols using SimBA and see whether we’re looking, objectively, at the same or different behavior,” Golden said.
“This approach allows labs to design experiments however they like, but because you can now directly compare behavioral results from labs that are using different behavioral definitions, you can draw clearer conclusions between their results. Previously, inconsistent neural data could have been attributed to many confounds, and now we can cleanly rule out behavioral differences as we strive for cross-lab reproducibility and interpretability” Golden said.
This research was supported by grants from the National Institutes of Health (K08MH123791), the National Institute on Drug Abuse (R00DA045662, R01DA059374, P30DA048736), National Institute of Mental Health (1F31MH125587, F31AA025827, F32MH125634), National Institute of General Medicine Sciences (R35GM146751), Brain & Behavior Research Foundation, Burroughs Wellcome Fund, Simons Foundation, and Washington Research Foundation.
A video frame of two mice whose behavior is being analyzed by SimBA. The dots represent the body parts being tracked by the program.
A UNIVERSITY OF WASHINGTON TEAM HAS DEVELOPED AN ARTIFICIAL INTELLIGENCE SYSTEM THAT LETS A USER WEARING HEADPHONES LOOK AT A PERSON SPEAKING FOR THREE TO FIVE SECONDS AND THEN HEAR JUST THE ENROLLED SPEAKER’S VOICE IN REAL TIME EVEN AS THE LISTENER MOVES AROUND IN NOISY PLACES AND NO LONGER FACES THE SPEAKER. PICTURED IS A PROTOTYPE OF THE HEADPHONE SYSTEM: BINAURAL MICROPHONES ATTACHED TO OFF-THE-SHELF NOISE CANCELING HEADPHONES.
Noise-canceling headphones have gotten very good at creating an auditory blank slate. But allowing certain sounds from a wearer’s environment through the erasure still challenges researchers. The latest edition of Apple’s AirPods Pro, for instance, automatically adjusts sound levels for wearers — sensing when they’re in conversation, for instance — but the user has little control over whom to listen to or when this happens.
A University of Washington team has developed an artificial intelligence system that lets a user wearing headphones look at a person speaking for three to five seconds to “enroll” them. The system, called “Target Speech Hearing,” then cancels all other sounds in the environment and plays just the enrolled speaker’s voice in real time even as the listener moves around in noisy places and no longer faces the speaker.
The team presented its findings May 14 in Honolulu at the ACM CHI Conference on Human Factors in Computing Systems. The code for the proof-of-concept device is available for others to build on. The system is not commercially available.
“We tend to think of AI now as web-based chatbots that answer questions,” said senior author Shyam Gollakota, a UW professor in the Paul G. Allen School of Computer Science & Engineering. “But in this project, we develop AI to modify the auditory perception of anyone wearing headphones, given their preferences. With our devices you can now hear a single speaker clearly even if you are in a noisy environment with lots of other people talking.”
To use the system, a person wearing off-the-shelf headphones fitted with microphones taps a button while directing their head at someone talking. The sound waves from that speaker’s voice then should reach the microphones on both sides of the headset simultaneously; there’s a 16-degree margin of error. The headphones send that signal to an on-board embedded computer, where the team’s machine learning software learns the desired speaker’s vocal patterns. The system latches onto that speaker’s voice and continues to play it back to the listener, even as the pair moves around. The system’s ability to focus on the enrolled voice improves as the speaker keeps talking, giving the system more training data.
The team tested its system on 21 subjects, who rated the clarity of the enrolled speaker’s voice nearly twice as high as the unfiltered audio on average.
This work builds on the team’s previous “semantic hearing” research, which allowed users to select specific sound classes — such as birds or voices — that they wanted to hear and canceled other sounds in the environment.
Currently the TSH system can enroll only one speaker at a time, and it’s only able to enroll a speaker when there is not another loud voice coming from the same direction as the target speaker’s voice. If a user isn’t happy with the sound quality, they can run another enrollment on the speaker to improve the clarity.
The team is working to expand the system to earbuds and hearing aids in the future.
A University of Washington team has developed an artificial intelligence system that lets a user wearing headphones look at a person speaking for three to five seconds and then hear just the enrolled speaker’s voice in real time even as the listener moves around in noisy places and no longer faces the speaker. In this video, co-lead authors Malek Itani, a UW doctoral student in the electrical and computer engineering department, and Bandhav Veluri, a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering, demonstrate the system.
CREDIT: CREATED WITH IMAGES BY JACKIE DILORENZO/UNSPLASH (PLANT PHOTO) AND ALEXANDRA KOCH/PIXABAY (ELECTRONIC BRAIN ILLUSTRATION) (CC-BY 4.0, HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY/4.0/)
Artificial intelligence approaches demonstrate how plant science has evolved
Machine learning also reveals how model systems have changed and how countries differ in terms of research focus and impact
Article Title: Assessing the evolution of research topics in a biological field using plant science as an example
Author Countries: United States
Funding: This work was supported by the National Science Foundation (IOS-2107215 and MCB-2210431 to MDL and SHS; DGE-1828149 and IOS-2218206 to SHS), Department of Energy grant Great Lakes Bioenergy Research Center (DE-SC0018409 to SHS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Rising temperatures will significantly reduce streamflow in the upper Colorado river basin as groundwater levels fall, new research shows
Climate change will dramatically impact streamflow and its contributions to the Colorado River by increasing forest water use and reducing groundwater levels, new study finds.
DESERT RESEARCH INSTITUTE
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THE ILLUSTRATION ABOVE SHOWS HISTORICAL ATMOSPHERIC AND ENVIRONMENTAL WATER LOSS AND CONTRIBUTIONS. FROM FIGURE 2 OF CAROLL ET AL.
The Colorado River makes life possible in many Western cities and supports agriculture that sustains people throughout the country. Most of the river’s water begins as snowmelt from the mountainous watersheds of Colorado, Utah, and Wyoming, and a warming climate will drastically reduce these streamflows, new research finds.
Researchers from Desert Research Institute (DRI), USGS, and Lawrence Berkeley National Laboratory teamed up for the new study, published May 23 in Nature Water. By applying warming to historical conditions for the East River in Colorado and using computer simulations to observe the impact on streamflow and groundwater levels, the scientists found that groundwater storage would fall to the lowest known levels after the first extremely dry year and fail to recover even after multiple wet periods. When groundwater levels fall, streamflows are drawn into the water table instead of contributing to Colorado River flows.
“We found that groundwater matters a lot,” says Rosemary Carroll, Ph.D., DRI research professor of hydrology and lead author of the study. “Even with historically observed wet periods in the model, the groundwater can’t come back from a single dry water year under end-of-century warming.”
The Colorado River has been in a drought state for decades, creating tensions around water rights throughout the Southwest. Scientists have been perplexed by falling river levels even in relatively wet years – in 2021, the Upper Colorado River Basin reached 80% normal snowpack but delivered only 30% of average streamflow to the river. The study authors wanted to examine how warming in mountain basins may be contributing to this phenomenon. Increased temperatures alter the balance between snowfall and water availability in a number of ways, including more snow evaporation (known as sublimation), more precipitation falling as rain instead of snow, and more frequent melting throughout the winter.
Past research has largely overlooked the role of groundwater and how it may buffer, or intensify, streamflow loss from climate change.
“I’m very interested in the relationship of groundwater contributions to streamflow – that has been a running theme in my research for a long time,” Carroll says. “A lot of studies indicate that in the short term, groundwater release to streamflow will help buffer drought impacts, but before this study, we didn’t have any knowledge on what that would mean over the long haul.”
The study authors used the East River as the focus for the research because it is representative of the headwaters of the Colorado River, as well as the significant weather and water monitoring infrastructure available. Ground observations and airborne mapping measure snowpack depth and density, streamflow, plant cover, and groundwater levels, among many other measurements throughout the watershed.
Historical data from 1987 to 2022 was used to create the computer model. The research team then applied 4 degrees Celsius of warming to this time period in two ways: for one simulation, warming was applied constantly across time, while in subsequent simulations, warming was applied to each season independently. The approach allowed the scientists to examine the differing impacts of warming between seasons. Four degrees Celsius is representative of the projected climate at the end of the century based on observed warming of approximately 0.4 degrees Celsius per decade in the watershed. The simulation doesn’t account for likely changes in vegetation over the same timeframe.
The study showed that consistently warmer temperatures resulted in sharp declines in groundwater levels that were unable to recover to historical average levels during wet periods. Isolating the warming seasonally demonstrated the strong impact of warmer summers on water table declines, as the atmosphere increases evaporation rates, plants increase their water uptake, and soils dry out. The largest declines in water table elevations occur in the subalpine forests where conifer forests are most dense.
“As the groundwater level drops, you lose more streamflow to the water table,” Carroll says. “When precipitation is low, the East River stops flowing for a portion of the summer. Of course, this would have dramatic effects on ecological health and agricultural irrigation.”
By including declining water table levels in the analysis, the study found that streamflow reductions nearly double when compared to simulations that examined the impacts of climate change in the region without accounting for groundwater declines. This is because of the multiple impacts occurring simultaneously: less water flows to streams from the aquifers, while more stream water drains into the soil.
The research demonstrates the need to jointly manage forest and groundwater in the Upper Colorado River Basin, as well as account for the exchange of surface and groundwater in mountains basins, to minimize streamflow declines under climate change, Carroll says.
“I think of groundwater as your savings account,” she adds. “Snowpack is like your checking account; it changes from year to year. Groundwater is a longer-term investment -- it can smooth out the really wet and dry years. But if you start consistently reducing that groundwater year after year, then you can no longer modulate those extremes.”
Fig8 (IMAGE)
DESERT RESEARCH INSTITUTE
The graphic above illustrates how declining water tables under climate change would decrease streamflows. By Jeremey Snyder, from Figure 8 of Carroll et al.
CREDIT
Jeremey Snyder, from Figure 8 of Carroll et al.
More information: The full study, Declining Groundwater Storage Expected to Amplify Mountain Streamflow Reductions in a Warmer World, is available from Nature Water at (https://www.nature.com/articles/s44221-024-00239-0
Funding for the study came from the U.S. Department of Energy Office of Science and Office of Biological and Environmental Research.
Study authors include: Rosemary Carroll (DRI), Richard Niswonger (USGS), Craig Ulrich (Lawrence Berkeley National Laboratory), Charuleka Varadharajan (Lawrence Berkeley National Laboratory), Erica Siirila-Woodburn (Lawrence Berkeley National Laboratory), and Kenneth Williams (Rocky Mountain Biological Laboratory)
About DRI
We are Nevada’s non-profit research institute, founded in 1959 to empower experts to focus on science that matters. We work with communities across the state — and the world — to address their most pressing scientific questions. We’re proud that our scientists continuously produce solutions that better human and environmental health.
Scientists at DRI are encouraged to follow their research interests across the traditional boundaries of scientific fields, collaborating across DRI and with scientists worldwide. All faculty support their own research through grants, bringing in nearly $5 to the Nevada economy for every $1 of state funds received. With more than 600 scientists, engineers, students, and staff across our Reno and Las Vegas campuses, we conducted more than $47 million in sponsored research focused on improving peoples’ lives in 2023 alone.
At DRI, science isn’t merely academic — it’s the key to future-proofing our communities and building a better world. For more information, please visit www.dri.edu.
JOURNAL
Nature Water
ARTICLE TITLE
Declining Groundwater Storage Expected to Amplify Mountain Streamflow Reductions in a Warmer World
