Friday, May 23, 2025

 

Researchers decode neural pathways of cognitive flexibility across species



Comprehensive analysis reveals how brains generalize learning across species, with implications for neurological disorders



Genomic Press

Neural circuits associated with three cortical regions in cognitive generalization with different manifestations from different species. 

image: 

Neural circuits associated with three cortical regions in cognitive generalization with different manifestations from different species. (A) Emotionrelated brain regions mainly project to PFC and OFC; Sensory-related brain regions mainly project to PPC. (B) PFC, OFC, and PPC show similar brain area distributions from humans, monkeys to rodents.

view more 

Credit: Dr. Zhenzhen Quan




BEIJING, China, 20 May 2025 – In a comprehensive Genomic Press review article published today, neuroscientists have unveiled the complex neural mechanisms that enable cognitive generalization—the crucial ability to adapt learning from previous experiences to new scenarios—across different species. The research maps these neural pathways from hippocampus to cortex, providing insights that could potentially transform our understanding of conditions like Alzheimer's disease and autism spectrum disorders.

How Brains Apply Past Knowledge to New Situations

The ability to transfer learning from prior experiences to novel circumstances represents one of the most fundamental aspects of cognitive flexibility and is vital for survival across species. Yet until now, the underlying neural mechanisms that connect different brain regions in rodents, primates, and humans have remained poorly understood.

"Cognitive generalization is essentially how organisms take what they've learned and apply it to new situations," explains Dr. Zhenzhen Quan from Beijing Institute of Technology, corresponding author of the study. "While this mental flexibility enhances survival, the neural architecture supporting it has been something of a black box until recently."

The research team comprehensively analyzed data from numerous studies conducted across rodents, non-human primates, and humans to establish a cohesive framework for understanding how different brain regions contribute to cognitive generalization.

The Hippocampal Foundation of Generalization

The team's findings reveal that the hippocampus plays a critical role in cognitive generalization through two key processes: remapping and replay.

"Our analysis shows that hippocampal remapping activity—where neurons reorganize their firing patterns in response to new environments—creates abstract rules during generalization," notes Dr. Da Song, a co-author of the study. "Different hippocampal subregions handle distinct memory types, allowing for specialized processing of experiences."

The researchers discovered that during sharp-wave ripples, a distinctive brain wave pattern, the hippocampus replays experiences in compressed time sequences. This replay mechanism appears to be fundamental for extracting common features across different experiences, forming the basis for generalization.

Could these hippocampal replay patterns serve as potential biomarkers for early detection of neurodegenerative diseases? The authors suggest this possibility merits further exploration, especially given the disruptions to these patterns observed in conditions like Alzheimer's disease.

Cortical Regions: The Executive Networks of Generalization

The review highlights three critical cortical areas involved in cognitive generalization:

Prefrontal Cortex: Emerges as essential for rule-based categorization across all species studied, processing both low-level and high-level abstractions that allow organisms to identify patterns across diverse experiences.

"The prefrontal cortex demonstrates remarkable consistency across species in its role of abstracting rules from experiences," explains Professor Hong Qing, senior author from Beijing Institute of Technology and Shenzhen MSU-BIT University. "This evolutionary conservation suggests its fundamental importance for cognitive flexibility."

Orbitofrontal Cortex: Drives value-based decision-making and concept-based decisions, helping organisms determine which experiences are worth generalizing based on previously learned outcomes.

Posterior Parietal Cortex: Guides generalization through perceptual processing of past experiences, serving as a sensory history buffer that influences how new perceptions are categorized.

What makes these findings particularly significant is the identification of the integrated neural circuitry connecting these regions. The research demonstrates how similar these brain structures and their associated behaviors are across species, suggesting evolutionary conservation of these critical cognitive mechanisms.

Implications for Neurological Disorders

The team's analysis extends beyond normal brain function to examine how disruptions to cognitive generalization manifest in various neurological conditions.

"Patients with Alzheimer's disease show significant impairment in memory generalization, which correlates with hippocampal volume loss," notes Dr. Quan. "Similarly, individuals with autism spectrum disorder often struggle with rule abstraction and forming prototypical representations, reflecting potential dysfunction in prefrontal processing."

These connections between cognitive generalization deficits and neurological disorders open new avenues for potential diagnostic approaches and therapeutic interventions. Could training that specifically targets generalization processes help mitigate symptoms in these conditions? This remains an intriguing question for future research.

Future Directions

As research technology advances, the authors suggest several promising directions for further investigation, including more detailed mapping of the hippocampal-cortical connections that support generalization and development of therapeutic approaches targeting these networks.

"Understanding the neural foundations of cognitive generalization could lead to novel interventions for conditions where flexibility in thinking is impaired," suggests Professor Qing. "Our next challenge is to translate these insights into practical applications that could benefit patients."

The comprehensive analysis not only clarifies the neural foundations of cognitive generalization but also suggests promising directions for interventions targeting related neurological disorders. By bridging animal models with human studies, the research provides a translational framework that could accelerate development of new therapeutic approaches.

The article in Brain Medicine titled "Neural mechanisms of cognitive generalization across species: From hippocampus to cortex," is freely available via Open Access on 20 May 2025 in Brain Medicine at the following hyperlink: https://doi.org/10.61373/bm025w.0047.

About Brain Medicine: Brain Medicine (ISSN: 2997-2639, online and 2997-2647, print) is a peer-reviewed medical research journal published by Genomic Press, New York. Brain Medicine is a new home for the cross-disciplinary pathway from innovation in fundamental neuroscience to translational initiatives in brain medicine. The journal's scope includes the underlying science, causes, outcomes, treatments, and societal impact of brain disorders, across all clinical disciplines and their interface.

Visit the Genomic Press Virtual Library: https://issues.genomicpress.com/bookcase/gtvov/

Our full website is at: https://genomicpress.kglmeridian.com/


Neural mechanisms of cognitive generalization across species: From hippocampus to cortex

Credit

Dr. Zhenzhen Quan

 

Research team traces evolutionary history of bacterial circadian clock on ancient Earth




National Institutes of Natural Sciences
Molecular evolution of Kai-protein oscillator over 3 billion years 

image: 

Molecular evolution of Kai-protein oscillator over 3 billion years
view more 

Credit: Yoshihiko Furuike & Atsushi Mukaiyama




To better understand the circadian clock in modern-day cyanobacteria, a Japanese research team has studied ancient timekeeping systems. They examined the oscillation of the clock proteins KaiA, KaiB, and KaiC (Kai-proteins) in modern cyanobacteria, comparing it to the function of ancestral Kai proteins.

Their research is published in the Nature Communications on May 15th, 2025.

“Extant cyanobacteria utilize a circadian clock to predict the light-dark environmental cycle by Earth’s rotation in order to achieve efficient photosynthetic reactions. We wanted to know the evolutionary history of when ancient bacteria acquired the circadian clock and how this property was inherited by the present cyanobacteria,” said Atsushi Mukaiyama, Associate Professor, Fukui Prefectural University.

Cyanobacteria, sometimes called blue-green algae, are photosynthetic bacteria that influence Earth’s oceans and atmosphere in important ways. Scientists know that the most recent common ancestor of cyanobacteria emerged about 3 billion years ago. It evolved into the current ecosystem through the Great Oxidation event, which occurred when the level of oxygen in Earth’s atmosphere rose about 2.3 billion years ago. This evolution continued through at least two Snowball Earth events, about 2.4 and 0.7 billion years ago, when the planet was covered in ice, and through the Neoproterozoic Oxygenation event, when the Earth’s oxygen levels rose a second time. The Neoproterozoic Oxygenation event occurred between 800 and 540 million years ago.

Through studies of fossils and molecular evolution models, scientists suggest that the most recent common ancestor of cyanobacteria already possessed primitive oxygen photosynthetic systems. The efficiency of photosynthesis is strongly influenced by light-dark environmental cycles. The research team set out to examine whether primitive cyanobacteria had a timekeeping system when photosynthesis became active during the Great Oxidation event. This can help scientists understand the physiological origin of circadian clock systems.

Scientists have identified circadian clocks, those internal timekeepers that guide an organism to run on a 24-hour clock, in various organisms, such as bacteria, fungi, plants, and mammals. The research team studied the cyanobacteria’s circadian clock using the cyanobacteria strain Synechococcus elongatus. They reconstructed the clock oscillator in a test tube using the clock protein KaiC. They also examined the function and structure of ancestral Kai proteins to determine how self-sustained Kai-protein oscillators have evolved over time.

Knowing that light–dark cycles affect how efficient photosynthesis is in cyanobacteria, the team wanted to determine whether ancient cyanobacteria possessed a self-sustained circadian clock when the ancient oxidation events occurred and the photosynthetic systems were first established.

They discovered that faster rhythmic phenomenon was encoded in ancestral clock proteins. “The ancient cyanobacterial clock was synchronized to the cycle of 18 to 20 hours. This means that the history of the Earth's rotation period has been restored by tracing the evolution of clock protein molecules,” said Yoshihiko Furuike, Assistant Professor, Institute for Molecular Science.

The team’s results show that the oldest KaiC in ancestral bacteria lacked the function and structure that is essential for rhythmic qualities. Through molecular evolution, the ancestral Kai proteins acquired the necessary function and structure around the Global Oxidation and Snowball Earth events. Eventually the most recent common ancestor of cyanobacteria capable of photosynthesis inherited this self-sustained circadian oscillator.

These results are extremely helpful in scientists’ understanding of chronobiology. “Our ultimate goal is to design modified cyanobacteria that can adapt to the rotation period of planets and satellites other than Earth by shortening or lengthening the period of the Kai-protein oscillator. Cyanobacteria have taken a long time to tune their clock to 24 hours, but we may be able to achieve even faster evolution using modern knowledge and technology,” said Shuji Akiyama, Professor, Institute for Molecular Science.

The research team includes Atsushi Mukaiyama from Fukui Prefectural University, Japan; Yoshihiko Furuike, Kota Horiuchi, Kanta Kondo, and Shuji Akiyama from the Institute for Molecular Science, Okazaki, Japan, and SOKENDAI, Okazaki, Japan; Kumiko Ito-Miwa from Nagoya University, Japan; Yasuhiro Onoue from the Institute for Molecular Science, Okazaki, Japan; Eiki Yamashita from Osaka University, Japan.

This research was funded by the Platform Project for Supporting Drug Discovery and Life Science Research from AMED, Grants-in-Aid for Scientific Research, Takeda Science Foundation, and Toyoaki Scholarship Foundation.
 

Information of the paper:

Authors: Atsushi Mukaiyama, Yoshihiko Furuike, Kumiko Ito-Miwa, Yasuhiro Onoue, Kota Horiuchi, Kanta Kondo, Eiki Yamashita, Shuji Akiyama
Journal Name: Nature Communications
Journal Title: “Evolutionary Origins of Self-Sustained Kai protein Circadian Oscillators in Cyanobacteria”
DOI: 10.1038/s41467-025-59908-7
 

 

A natural compound found in rice and coffee may help relax heart arteries



Ferulic acid prevents artery spasms through two different mechanisms



Toho University

A schematic summary of this study 

image: 

Ferulic acid blocks calcium from entering muscle cells through L-type calcium channels, which normally cause the arteries to contract. Even when calcium isn’t involved, it still prevents artery tightening by stopping a specific protein (myosin light chain) from being activated, which is essential for muscle contraction. 

view more 

Credit: Kento Yoshioka





Sudden narrowing of the coronary arteries—called coronary artery spasms—can lead to chest pain (angina), heart attacks, and other serious heart problems. Now, a research group led by Dr. Kento Yoshioka, Dr. Keisuke Obara, and Professor Yoshio Tanaka from the Department of Chemical Pharmacology, Faculty of Pharmaceutical Sciences, Toho University, has discovered that ferulic acid, a natural compound found in rice, coffee, and certain vegetables, can help prevent these spasms in two different ways.


Using porcine (pig) coronary arteries, which closely resemble human heart arteries, the researchers found that ferulic acid significantly reduced artery contractions caused by chemical triggers.

The study revealed two key actions of ferulic acid:
1. It blocks calcium from entering muscle cells through L-type calcium channels, which normally cause the arteries to contract.

2. Even when calcium isn’t involved, it still prevents artery tightening by stopping a specific protein (myosin light chain) from being activated, which is essential for muscle contraction.

Surprisingly, ferulic acid was sometimes even more effective than diltiazem, a widely used medication for relaxing blood vessels.
“Because ferulic acid is plant-based and considered safe, it may have potential as a health food ingredient or even as a foundation for future heart medications,” said lead researcher Dr. Kento Yoshioka.
This research opens the door to new, natural ways of supporting heart health—possibly through diet or supplements in the future.

 

Journal:
Journal of Pharmacological Sciences (April 24, 2025)

Title:
Inhibitory effects of ferulic acid on the contraction responses of porcine coronary arteries: a comparison with diltiazem

Authors:
Kento Yoshioka, Keisuke Obara, Yilin Luo, Qianghaodi Hong, Ayaka Fujiwara, Wakaba Kinami, Hideaki Ozawa, Yoshio Tanaka

DOI: 10.1016/j.jphs.2025.04.006

Abstract URLhttps://doi.org/10.1016/j.jphs.2025.04.006

 

New research links global climate patterns to wildfires in Los Angeles





Institute of Atmospheric Physics, Chinese Academy of Sciences
cover of the Issue 7, 2025 of Advances in Atmospheric Sciences 

image: 

The cover depicts severe boreal wildfires linked to remote tropical convective anomalies via the Madden–Julian Oscillation (MJO). It visualizes atmospheric Rossby wave propagation, circulation teleconnections, and satellite-derived diagnostics, underscoring intraseasonal variability’s remote forcing of midlatitude fire activity under evolving climate conditions.
 

view more 

Credit: Advances in Atmospheric Sciences




As wildfires continue to ravage regions from Los Angeles to South Korea, a new study featured on the cover of the Issue 7, 2025 of Advances in Atmospheric Sciences sheds light on the large-scale climate patterns influencing these devastating global extreme events. The research, led by Professor Young-Min Yang from Jeonbuk National University, reveals how tropical climate phenomena like the Madden-Julian Oscillation (MJO) can trigger dry, windy conditions that exacerbate wildfires in mid-latitude regions, including the western U.S. and East Asia.

Wildfire prediction remains a major challenge due to rapidly changing weather conditions and complex environmental factors. The study highlights the MJO—a large-scale tropical weather pattern—as a key driver of atmospheric waves that can lead to fire-favorable conditions thousands of miles away.

"Our findings show that strong MJO activity in the eastern Indian Ocean can trigger atmospheric teleconnections, leading to dry and windy weather in wildfire-prone areas like Los Angeles within days to a week," said Professor Yang. "This provides a crucial prediction window that could improve wildfire forecasting and risk management."

The research also suggests that the Arctic Oscillation (AO) may contribute by bringing colder, drier air to regions like North America, further increasing fire risk. These insights could help explain why recent wildfires in Los Angeles have been severe even in years with less extreme drought conditions.

The study’s release follows South Korea’s worst-ever wildfire outbreak, which has now been contained after killing 28 people and razing vast swaths of land. As the lead author’s home country recovers from this disaster, the research underscores how large-scale climate patterns like the MJO may contribute to extreme fire weather in the region.

To enhance wildfire prediction, the research team plans to integrate additional climate signals—such as warming in the tropical Indian Ocean and Siberia—into advanced AI-based weather models. These tools could extend forecast accuracy to several weeks, aiding preparedness efforts.

"Our ultimate goal is to develop more reliable wildfire prediction models by incorporating MJO and AO influences," said Professor Yang. "With better forecasting, communities can implement earlier mitigation strategies, reducing the damage from these disasters."

The study underscores the growing need to consider global climate dynamics in regional wildfire management, particularly as climate change intensifies weather extremes.

Lighting the future: high-stability bluish-green phosphors for advanced LEDs




Higher Education Press
Image 

image: 

Blue LEDs with green-emitting phosphor on top to produce white light.

view more 

Credit: Abinaya Mayavan, Aarthi Kannan, Sakthivel Gandhi




Warm white light-emitting diodes (WLEDs) are essential for modern lighting due to their energy efficiency, long lifespan, and environmental benefits. However, the performance of traditional phosphors in LEDs often degrades under prolonged thermal stress, leading to colour shifts and reduced brightness. In response, researchers have turned to remote phosphor technology to address these issues.

A research team from SASTRA Deemed University, led by Dr. Sakthivel Gandhi, developed a bluish-green emitting phosphor using silica nanoparticles instead of conventional precursors. This new method achieved a more homogeneous distribution of dopants, enhancing luminescence and resulting in a 48% increase in emission intensity compared to traditional methods.

The new phosphor exhibits significant thermal stability, maintaining 56% of its luminescence intensity at 190 °C, which is important for its use in high-power LEDs. To improve its performance, a flexible remote phosphor film was developed with an optimized phosphor-to-resin ratio to enhance emission efficiency and stability under different voltage conditions. Although the distance helps protect the phosphor film from heat, if the phosphor is affected, the film can be replaced without impacting the lifespan of the LEDs.

This breakthrough could result in brighter, more stable, and energy-efficient LED lights for homes, offices, and streets. It is like giving light bulbs a superpower to shine better, even under increased temperatures.

The work entitled “Silica nanoparticles assisted Ba2SiO4:Eu2+—a bluish-green emitting remote phosphor for white light application” was published on Frontiers of Optoelectronics (published on April 9, 2025).

 

Construction of AI literacy evaluation system for college students and an empirical study at Wuhan University





Higher Education Press




In the digital era, with the rapid development of AI, cultivating college students’ AI literacy is crucial. This study constructs an AI Literacy Evaluation System for College Students (AILES-CS) and conducts an empirical study at Wuhan University.

Based on the KSAVE model and UNESCO’s AI competency framework, AILES-CS consists of 4 first-level indicators, 10 second-level indicators, and 25 third-level indicators. The Delphi method and analytic hierarchy process are used to determine indicator content and weights. A 31-item scale is developed, and its reliability and validity are tested.

The empirical study surveys 1,651 undergraduate students at Wuhan University. Results show that students’ overall AI literacy is at a relatively high level, but there are differences among dimensions. AI ethics scores the highest, while AI knowledge scores the lowest. Gender has little impact on AI literacy. However, factors like academic discipline, technical background, and participation in digital intelligence education courses significantly influence students’ AI literacy, especially in knowledge and capability dimensions.

In conclusion, this research provides a scientific evaluation tool for AI literacy and offers practical suggestions for universities to optimize AI education, such as strengthening digital intelligence education and promoting interdisciplinary integration.

The work titled “Construction of AI Literacy Evaluation System for College Students and an Empirical Study at Wuhan University”, was published on Frontiers of Digital Education (published on March 20, 2025).