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Category: biological

Soft ‘NeuroWorm’ electrode allows wireless repositioning and stable neural monitoring

In brain-computer interfaces (BCIs) and other neural implant systems, electrodes serve as the critical interface and are core sensors linking electronic devices with biological nervous systems. Most currently implanted electrodes are static: Once positioned, they remain fixed, sampling neural activity from only a limited region. Over time, they often elicit immune responses, suffer signal degradation, or fail entirely, which has hindered the broader application and transformative potential of BCIs.

In a study published in Nature, a team led by Prof. Liu Zhiyuan, Prof. Xu Tiantian and Assoc. Prof. Han Fei from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. Yan Wei from Donghua University, have reported a soft, movable, long-term implantable fiber electrode called “NeuroWorm,” marking a radical shift for bioelectronic interfaces from static operation to dynamic operation and from passive recording to active, intelligent exploration.

The design of NeuroWorm is inspired by the earthworm’s flexible locomotion and segmented sensory system. By employing sophisticated electrode patterning and a rolling technique, the researchers transformed a two-dimensional array on an ultrathin flexible polymer into a tiny fiber approximately 200 micrometers in diameter.

Scientists reveal hidden dynamics of the cell’s smallest structures

Scientists at Feinberg are reshaping scientific understanding of the cell’s tiniest components—structures once thought to be static, now revealed to be dynamic engines of cellular life. As they probe the inner workings of cells, they are not only expanding understanding of cellular processes but also paving the way for novel therapies and diagnostics.

Recent research led by Vladimir Gelfand, Ph.D., the Leslie B. Arey Professor of Cell, Molecular, and Anatomical Sciences, and Sergey Troyanovsky, Ph.D., professor of Dermatology, and of Cell and Developmental Biology, has illuminated new roles for cytoskeletal filaments and intercellular junctions, while a separate study by Brian Mitchell, Ph.D., associate professor of Cell and Developmental Biology, has identified a novel mechanism that protects from damage.

Biohybrid crawlers can be controlled using optogenetic techniques

The body movements performed by humans and other animals are known to be supported by several intricate biological and neural mechanisms. While roboticists have been trying to develop systems that emulate these mechanisms for decades, the processes driving these systems’ motions remain very different.

Researchers at University of Illinois at Urbana-Champaign, Northwestern University and other institutes recently developed new biohybrid robots that combine living cells from mice with 3D printed hydrogel structures with wireless optoelectronics.

These robots, presented in a paper published in Science Robotics, have where the neurons can be controlled using optogenetic techniques, emulating the that support human movements.

The origin of the mental number line may be biological, not cultural, according to a new study

A new study has found that a chick’s ability to mentally organize numbers along a line from left to right is not learned but is instead a direct result of brain specialization that occurs before hatching. Researchers found that exposing chick eggs to light in the final days of incubation causes the two hemispheres of the brain to develop distinct functions, which in turn establishes an innate tendency for the chicks to count from left to right.

For many years, scientists and philosophers have debated the origins of the “mental number line,” a common intuition where people visualize smaller numbers on the left and larger numbers on the right. The prevailing theory suggested this was a cultural artifact, learned through years of reading and writing in a left-to-right direction.

However, this idea has been challenged by findings that pre-verbal infants and even some animals exhibit a similar spatial bias for numbers, suggesting a deeper, biological foundation. Researchers have hypothesized that this foundation lies in brain lateralization, the process where the left and right hemispheres of the brain become specialized for different cognitive tasks. While this connection seemed plausible, there was little direct experimental evidence to confirm that brain specialization actually causes this numerical mapping.

From noise to power: A symmetric ratchet motor discovery

Vibrations are everywhere—from the hum of machinery to the rumble of transport systems. Usually, these random motions are wasted and dissipated without producing any usable work.

Recently, scientists have been fascinated by “ratchet systems,” which are that rectify chaotic vibrations into directional motion. In biology, molecular motors achieve this feat within living cells to drive the essential processes by converting random molecular collisions into purposeful motions. However, at a large scale, these ratchet systems have always relied on built-in asymmetry, such as gears or uneven surfaces.

Moving beyond this reliance on asymmetry, a team of researchers led by Ms. Miku Hatatani, a Ph.D. student at the Graduate School of Science and Engineering, along with Mr. Junpei Oguni, graduate school alumnus at the Graduate School of Science and Engineering, Professor Daigo Yamamoto and Professor Akihisa Shioi from the Department of Chemical Engineering and Materials Science at Doshisha University, demonstrate the world’s first symmetric ratchet motor.

Scientist returns to microbial roots and discovers potential quantum computing advancement

During his Ph.D. at UMass, Nikhil Malvankar was laser-focused on quantum mechanics and the movement of electrons in superconductors. Now a professor at Yale, the native of Mumbai, India, has pivoted toward biology to explain how bacteria breathe deep underground without the aid of oxygen.

How evolution explains autism rates in humans

A paper in Molecular Biology and Evolution finds that the relatively high rate of autism-spectrum disorders in humans is likely due to how humans evolved in the past. The paper is titled “A general principle of neuronal evolution reveals a human accelerated neuron type potentially underlying the high prevalence of autism in humans.”

Self-assembling magnetic microparticles mimic biological error correction

Everybody makes mistakes. Biology is no different. However, living organisms have certain error-correction mechanisms that enable their biomolecules to assemble and function despite the defective slough that is a natural byproduct of the process.

A Cornell-led collaboration has developed microscale that can mimic the ability of biological materials such as proteins and nucleic acids to self-assemble into complex structures, while also selectively reducing the parasitic waste that would otherwise clog up production.

This magnetic assembly platform could one day usher in a new class of self-building biomimetic devices and microscale machines.

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