Using electromagnetic fields or implanted medical devices to stimulate the brain can have benefits, but also carries risks. Computer simulations that reflect the unique complexity of each patient can help predict and solve problems before they arise.
Computers work in digits — 0s and 1s to be exact. Their calculations are digital; their processes are digital; even their memories are digital. All of which requires extraordinary power resources. As we look to the next evolution of computing and developing neuromorphic or “brain-like” computing, those power requirements are unfeasible.
To advance neuromorphic computing, some researchers are looking at analog improvements. In other words, not just advancing software, but advancing hardware too. Research from the University of California San Diego and UC Riverside shows a promising new way to store and transmit information using disordered superconducting loops.
The team’s research, which appears in the Proceedings of the National Academy of Sciences, offers the ability of superconducting loops to demonstrate associative memory, which, in humans, allows the brain to remember the relationship between two unrelated items.
Post-mitotic neurons in the brain that re-enter the cell cycle quickly succumb to senescence, and this re-entry is more common in Alzheimer’s disease, according to a new study published April 9 in the open-access journal PLOS Biology by Kim Hai-Man Chow and colleagues at the Chinese University of Hong Kong.
The phenomenon may provide an opportunity to learn more about the neurodegeneration process, and the technique used to make this discovery is readily applicable to other inquiries about unique populations of cells in the brain.
Most neurons in the brain are post-mitotic, meaning they have ceased to divide. For many years, it had been assumed that this post-mitotic state was permanent. Recent discoveries have shown that a small proportion of neurons re-enter the cell cycle, but little is known about their fate after they do.
The constant ebb and flow of hormones that guide the menstrual cycle don’t just affect reproductive anatomy. They also reshape the brain, and a study has given us insight into how this happens.
Led by neuroscientists Elizabeth Rizor and Viktoriya Babenko of the University of California Santa Barbara, a team of researchers tracked 30 women who menstruate over their cycles, documenting in detail the structural changes that take place in the brain as hormonal profiles fluctuate.
The results, which are yet to be peer-reviewed but can be found on preprint server bioRxiv, suggest that structural changes in the brain during menstruation may not be limited to those regions associated with the menstrual cycle.
Rice University engineers have developed the smallest implantable brain stimulator demonstrated in a human patient. Thanks to pioneering magnetoelectric power transfer technology, the pea-sized device developed in the Rice lab of Jacob Robinson in collaboration with Motif Neurotech and clinicians Dr. Sameer Sheth and Dr. Sunil Sheth can be powered wirelessly via an external transmitter and used to stimulate the brain through the dura ⎯ the protective membrane attached to the bottom of the skull.
The device, known as the Digitally programmable Over-brain Therapeutic (DOT), could revolutionize treatment for drug-resistant depression and other psychiatric or neurological disorders by providing a therapeutic alternative that offers greater patient autonomy and accessibility than current neurostimulation-based therapies and is less invasive than other brain-computer interfaces (BCIs).
Learning results in persistent double-stranded DNA breaks, nuclear rupture and release of DNA fragments and histones within hippocampal CA1 neurons that, following TLR9-mediated DNA damage repair, results in their recruitment to memory circuits.
Summary: Researchers discovered that pupil dilation can indicate levels of working memory. In a study, researchers observed that individuals whose pupils dilated more while performing memory tasks tended to have better working memory.
This relationship between pupil dilation and memory performance suggests that pupil metrics could potentially serve as non-invasive indicators of cognitive load and memory capacity. The study involved 179 undergraduate students who performed various working memory tasks while their pupil responses were monitored.
I found this on NewsBreak: Mitochondrial Meltdown: The Energy Failure Behind Neurodegenerative Diseases.
I found this on NewsBreak: Activating a gene that slows brain aging and increases lifespan.
