Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: neuroscience – Page 6

The Neural Basis of Altruistic Punishment

New brain research reveals why we’re willing to go out of our way to punish people who break the rules, even when it costs us time, money, or friends. This behavior, which researchers call “altruistic punishment,” has been essential for human cooperation since ancient times. It’s the invisible glue that keeps societies fair: we enforce the rules not just for ourselves, but for everyone.

Many people voluntarily incur costs to punish violations of social norms. Evolutionary models and empirical evidence indicate that such altruistic punishment has been a decisive force in the evolution of human cooperation. We used H2 15 O positron emission tomography to examine the neural basis for altruistic punishment of defectors in an economic exchange. Subjects could punish defection either symbolically or effectively. Symbolic punishment did not reduce the defector’s economic payoff, whereas effective punishment did reduce the payoff. We scanned the subjects’ brains while they learned about the defector’s abuse of trust and determined the punishment. Effective punishment, as compared with symbolic punishment, activated the dorsal striatum, which has been implicated in the processing of rewards that accrue as a result of goal-directed actions.

Scientists reversed brain aging and memory loss in mice

Cedars-Sinai researchers created “young” immune cells from human stem cells that reversed cognitive decline and Alzheimer’s symptoms in mice. The treated animals showed better memory and healthier brain structures. The cells seemed to protect the brain indirectly, possibly through anti-aging signals in the blood. The findings suggest a new, personalized path to slowing brain aging.

Your body is full of medicine. Researchers can now synthesize it

Northeastern University researchers have made a breakthrough drug discovery, developing the first synthetic endogenous cannabinoid compound, with repercussions for new therapeutics from pain and inflammation to cancer.

Spyros P. Nikas, an associate research professor in Northeastern’s Center for Drug Discovery, says that the discovery hinges on the distinction between two different kinds of cannabinoid chemicals, endogenous and exogenous. Exogenous cannabinoids are those produced outside the human body, like THC or CBD, both derived from the cannabis plant and present in marijuana.

Our own bodies, however, are also producing cannabinoids all the time. Called endogenous cannabinoids —or just “endocannabinoids”—these chemicals “modulate a wide range of physiological and pathophysiological responses,” Nikas says, processes that include mood, inflammation and even neurodegenerative disorders like Alzheimer’s and Parkinson’s. The research is published in the Journal of Medicinal Chemistry.

Association Between Choroid Plexus Morphological Alterations, Alzheimer Pathologies, and Cognitive ImpairmentA Longitudinal Study

Question What are the main predictors for high health care costs among patients with head and neck cancer?

Findings In this population-based cohort study, advanced cancer stage and receiving multiple treatment modalities were the strongest predictors of high health care costs. Female sex, older age, and lower socioeconomic status were associated with an increased likelihood for high health care costs, although with a weaker effect size.

Meaning Future research should focus on evaluating screening strategies and early diagnosis to assess their potential effects on cost reduction and improved outcomes for patients with head and neck cancer.

Molecular Switch for Repairing Central Nervous System disorders

A molecular switch has the ability to turn on a substance in animals that repairs neurological damage in disorders such as multiple sclerosis (MS), Mayo Clinic researchers discovered. The early research in animal models could advance an already approved Food and Drug Administration therapy and also could lead to new strategies for treating diseases of the central nervous system.

Research by Isobel Scarisbrick, Ph.D., published in the Journal of Neuroscience finds that by genetically switching off a receptor activated by blood proteins, named Protease Activated Receptor 1 (PAR1), the body switches on regeneration of myelin, a fatty substance that coats and protects nerves.

“Myelin regeneration holds tremendous potential to improve function. We showed when we block the PAR1 receptor, neurological healing is much better and happens more quickly. In many cases, the nervous system does have a good capacity for innate repair,” says Dr. Scarisbrick, principal investigator and senior author. “This sets the stage for development of new clinically relevant myelin regeneration strategies.”

Neurons Use a Fast Structural Signal to Stabilize Communication

Researchers have uncovered a fast, structural mechanism that allows neurons to stabilize communication when synaptic function is disrupted.

Instead of relying on electrical activity, the brain uses physical rearrangements of postsynaptic receptors to signal the sending neuron to boost neurotransmitter release.

This rapid correction restores balance within milliseconds, ensuring that circuits supporting movement, learning, and memory remain functional.

The findings shed new light on how the brain maintains stability when communication falters.

Neurons can rapidly rebalance their communication using a structural signal rather than electrical activity, overturning long-held assumptions about how synapses maintain stability.

When neural spikes break time’s symmetry: Linking the information-theoretic cost of brain activity to behavior

What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new study has introduced a method that does exactly this—not just by looking at fine-grained neuronal spiking activity, but by characterizing its collective dynamics using principles from thermodynamics.

A team from Kyoto University and Hokkaido University developed a new statistical framework capable of tracing directional, nonequilibrium neural dynamics directly from large-scale spike recordings, enabling them to show how neurons dissipate entropy as they compute. Their findings reveal how neurons dynamically reshape their interactions during behavior and how the brain’s internal “temporal asymmetry” shifts during task engagement, shedding light on how efficient computation arises. The work is published in Nature Communications.

AI helps explain how covert attention works and uncovers new neuron types

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a behavior known as covert attention. We do it all the time, but little is known about its neurophysiological foundation.

Now, using convolutional neural networks (CNNs), UC Santa Barbara researchers Sudhanshu Srivastava, Miguel Eckstein and William Wang have uncovered the underpinnings of covert attention, and in the process, have found new, emergent neuron types, which they confirmed in real life using data from mouse brain studies.

“This is a clear case of AI advancing neuroscience, cognitive sciences and psychology,” said Srivastava, a former graduate student in the lab of Eckstein, now a postdoctoral researcher at UC San Diego.

/* */