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For the first time, scientists have discovered that a small region of our brain shuts down to take microsecond-long naps while we’re awake. What’s more, these same areas ‘flicker’ awake while we’re asleep. These new findings could offer pivotal insights into neurodevelopmental and neurodegenerative diseases, which are linked to sleep dysregulation.

Scientists from Washington University in St. Louis (WashU) and the University of California Santa Cruz (UCSC) made these findings by accident, noticing how brain waves in one tiny area of the brain shut down suddenly for just milliseconds when we’re awake. And in this same region, those brain waves jolt suddenly, for the same amount of time, when we’re asleep.

“With powerful tools and new computational methods, there’s so much to be gained by challenging our most basic assumptions and revisiting the question of ‘what is a state?’” said Keith Hengen, Assistant Professor of Biology at WashU. “Sleep or wake is the single greatest determinant of your behavior, and then everything else falls out from there. So if we don’t understand what sleep and wake actually are, it seems like we’ve missed the boat.”

Identifying individuals who are at a high risk of age-related morbidities may aid in personalized medicine. Circulating proteins can discriminate disease cases from controls and delineate the risk of incident diagnoses1,2,3,4,5,6,7,8. While singular protein markers offer insight into the mediators of disease5,9,10,11, simultaneously harnessing multiple proteins may improve clinical utility12. Clinically available non-omics scores such as QRISK typically profile the 10-year onset risk of a disease13. Proteomic scores have recently been trained on diabetes, cardiovascular and lifestyle traits as outcomes in 16,894 individuals14. Proteomic and metabolomic scores have also been developed for time-to-event outcomes, including all-cause mortality6,15,16,17,18,19,20,21.

Here, we demonstrate how large-scale proteomic sampling can identify candidate protein targets and facilitate the prediction of leading age-related incident outcomes in mid to later life (see the study design summary in Extended Data Fig. 1). We used 1,468 Olink plasma protein measurements in 47,600 individuals (aged 40–70 years) available as part of the UK Biobank Pharma Proteomics Project (UKB-PPP)22. Cox proportional hazards (PH) models were used to characterize associations between each protein and 24 incident outcomes, ascertained through electronic health data linkage. Next, the dataset was randomly split into training and testing subsets to train proteomic scores (ProteinScores) and assess their utility for modeling either the 5-or 10-year onset of the 19 incident outcomes that had a minimum of 150 cases available. We modeled ProteinScores alongside clinical biomarkers, polygenic risk scores (PRS) and metabolomics measures to investigate how these markers may be used to augment risk stratification.

Human brain organoids are three-dimensional masses of tissues derived from human stem cells that partially recapitulate the characteristics of the human brain. They have promising applications in many fields, from basic research to applied medicine. However, ethical concerns have been raised regarding the use of human brain organoids. These concerns primarily relate to the possibility that brain organoids may become conscious in the future. This possibility is associated with uncertainties about whether and in what sense brain organoids could have consciousness and what the moral significance of that would be. These uncertainties raise further concerns regarding consent from stem cell donors who may not be sufficiently informed to provide valid consent to the use of their donated cells in human brain organoid research.

The ability to study human neurological systems depends on having viable, accurate models of brain function. St. Jude researchers have now created a model for such research by combining thalamic cells and cortical cells derived from human induced pluripotent stem cells.

The thalamocortical system mediates multiple sensory and , such as perception, learning and memory. The researchers developed a model of a primitive human thalamocortical system by maintaining thalamic and cortical cell masses known as organoids in close proximity in a culture dish.

In this model, the neurons in both organoids develop and grow long-ranging processes (axons) that extend to the opposite organoid and form functional connections (synapses). The researchers determined that when these synapses are stimulated, they undergo long-term strengthening and weakening of their electrical signals, which is the hallmark of , a process that underlies certain forms of learning and memory.

A small team of public health specialists from the University of Glasgow and the Norwegian Institute of Public Health reports a possible link between some cases of autism and prenatal diet.

In their study, published in JAMA Network Open, the group analyzed information in two large databases of medical information on thousands of mothers and daughters in Norway and England.

Prior research has suggested that there appears to be diet, genetic and involved in the development of in children while they are still in the womb, though the exact cause is still unknown. For this new study, the research team looked more closely at the role of diet in its development.

Researchers at TMOS have developed a metasurface-enabled solenoid beam that can pull particles towards it, potentially revolutionizing non-invasive medical procedures like biopsies. This technology, which uses a thin layer of nanopatterned silicon, offers a lightweight, portable alternative to the bulky equipment previously required for such beams. Credit: University of Melbourne.

Researchers at TMOS, the ARC Centre of Excellence for Transformative Meta-Optical Systems, have made a significant initial advancement in creating tractor beams enabled by metasurfaces. These beams of light, capable of drawing particles towards them, are inspired by the fictional tractor beams seen in science fiction.

In research published in ACS Photonics, the University of Melbourne team describes their solenoid beam that is generated using a silicon metasurface. Previous solenoid beams have been created by bulky special light modulators (SLMs), however, the size and weight of these systems prevent the beams from being used in handheld devices. The metasurface is a layer of nanopatterned silicon only about 1/2000 of a millimeter thick. The team hopes that one day it could be used to take biopsies in a non-invasive manner, unlike current methods such as forceps that cause trauma to the surrounding tissues.

Mindfulness training may cause altered states of consciousness, including disembodiment and unity, according to a University of Cambridge study. While often positive, these experiences can sometimes be unsettling. Awareness and open communication about these potential side effects are essential for both teachers and students.

A new study from the University of Cambridge suggests that participants in mindfulness training may undergo altered states of consciousness, experiencing sensations of disembodiment and unity.

The team says that while these experiences can be very positive, that is not always the case. Mindfulness teachers and students need to be aware that they can be a side-effect of training, and students should feel empowered to share their experiences with their teacher or doctor if they have any concerns.

Optical spectrometers are versatile instruments that can produce light and measure its properties over specific portions of the electromagnetic spectrum. These instruments can have various possible applications; for instance, aiding the diagnosis of medical conditions, the analysis of biological systems, and the characterization of materials.

Conventional spectrometer designs often integrate advanced optical components and complex underlying mechanisms. As a result, they are often bulky and expensive, which significantly limits their use outside of specialized facilities, such as hospitals, laboratories and research institutes.

In recent years, some electronics engineers have thus been trying to develop more compact and affordable optical spectrometers that could be easier to deploy on a large-scale. These devices are typically either developed following the same principle underpinning the functioning of conventional larger spectrometers or via the use of arrayed broadband photodetectors, in conjunction with computational algorithms.