Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: neuroscience – Page 327

Summary: New research delves into how the statistical distributions of neuron densities shape mammalian brains.

The study analyzed seven species, discovering that neuron densities follow a lognormal distribution – a fundamental organizational principle. This distribution is distinct due to its asymmetric curve and is significant for understanding brain connectivity and the design of brain-inspired technology.

As many attributes of the brain align with this distribution, it hints at its potential computational benefits.

Read more | >

The ancient Greek philosopher Aristotle wrote in his manuscript on Physics 2,373 years ago: “If everything that exists has a place, place too will have a place, and so on ad infinitum.” Is the notion of space being continuous ‘without limit’ justified?

Before elementary particles were discovered, water was thought to be a continuous fluid. This is a good approximation on large scales but not on molecular scales where the interactions among elementary particles matter.

Similarly, spacetime has been thought to be a continuum since ancient times. While this notion appears consistent with all experimental data on large spatial or temporal scales, it may not be valid on tiny scales where quantum effects of gravity matter. An analogy can be made with the illusion of a movie which appears continuous when the frame rate is high enough and the spatial pixels are small enough for our brain to process the experience as seamless. Since our brain is made of elementary particles, the temporal and spatial resolution by which it senses reality is coarser by many orders of magnitude than any fundamental scale by which spacetime is discretized.

Read more | >

A new research paper was published by Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science) in Volume 15, Issue 15, entitled, “Associations between klotho and telomere biology in high stress caregivers.”

Aging biomarkers may be related to each other through direct co-regulation and/or through being regulated by common processes associated with chronological aging or stress. Klotho is an aging regulator that acts as a circulating hormone with critical involvement in regulating insulin signaling, phosphate homeostasis, oxidative stress, and age-related inflammatory functioning.

In this new study, researchers Ryan L. Brown, Elissa E. Epel, Jue Lin, Dena B. Dubal, and Aric A. Prather from the Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, Department of Biochemistry and Biophysics, University of California, San Francisco, and the Department of Neurology and Weill Institute of Neurosciences, University of California, San Francisco discuss the association between klotho levels and telomere length of specific sorted immune cells among a healthy sample of mothers caregiving for a child with autism spectrum disorder (ASD) or a child without ASD — covarying age and body mass index — in order to understand if high stress associated with caregiving for a child with an ASD may be involved in any association between these aging biomarkers.

Read more | >

A new study from the University of Minnesota is the first to demonstrate the ability for gene therapy to repair neural connections for those with the rare genetic brain disorder known as Hurler syndrome. The findings suggest the use of gene therapies—an entirely new standard for treatment—for those with brain disorders like Hurler syndrome, which have a devastating impact on those affected.

Read more | >

Summary: Our ability to process sentences relies on the dynamic nature of working memory, where information is stored and integrated with our future intentions.

New research reveals that visual memories adapt according to our future use of that information. These findings challenge conventional theories arguing that our working memory’s neural codes remain unchanged over time.

Instead, the study reveals that our brains dynamically reformat these memories to better align with potential future actions based on these recollections.

Read more | >

Summary: Researchers successfully mapped the neural activity of the C. elegans worm, correlating it to its behaviors such as movement and feeding.

Using novel technologies and methodologies, they developed a comprehensive atlas that showcases how most of the worm’s neurons encode its various actions.

This study provides an intricate look into how an animal’s nervous system controls behavior. The team’s findings, data, and models are available on the “WormWideWeb.”

Read more | >

Researchers from The University of Queensland applied an algorithm from a video game to study the dynamics of molecules in living brain cells.

Dr. Tristan Wallis and Professor Frederic Meunier from UQ’s Queensland Brain Institute came up with the idea while in lockdown during the COVID-19.

First identified in 2019 in Wuhan, China, COVID-19, or Coronavirus disease 2019, (which was originally called “2019 novel coronavirus” or 2019-nCoV) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has spread globally, resulting in the 2019–22 coronavirus pandemic.

Read more | >

Brain age was estimated using an algorithm that combined multiple measures of brain structure obtained through MRI scans when the participants were 45 years old. This algorithm quantified the difference between estimated brain age and the participants’ chronological age, referred to as brain age gap estimate.

If the estimated brain age is higher than the chronological age, it suggests that the brain’s structural characteristics are more similar to those of an older individual. Conversely, if the estimated brain age is lower than the chronological age, the brain’s structural characteristics resemble those of a younger individual.

Lay-Yee and his colleagues also adjusted their analyses for various potential confounding factors. These included socio-demographic factors like sex and socio-economic status, as well as family factors (teen-aged mother, single parent, change in residence, maltreatment) and child-behavioral factors (self-control, worry/fearfulness).

Read more | >