How these papers were chosen among the week's 333 papers

All 333 papers of the week whose main category is in this field were read, title and start of the abstract, and 13 were kept. They were then ordered by what can be counted: how many research profiles of our readers they come close to, whether a rising topic of the field includes them, and how many categories they were posted in. The abstracts of the first 12 were read in full to choose these, no more than two from one category and one per team.

The 6 numbers of the text were checked against the abstracts.

Sources: arXiv, bioRxiv, medRxiv.

How low must a disease-linked protein go? #

Lowering the prion protein PrP can slow prion disease in animals, but preventing symptoms has proved harder. A new preprint reports that a potent siRNA, delivered into the cerebrospinal fluid, reduced PrP to 12% residual in whole brain hemispheres of mice. Early, repeated treatment kept infected animals free of symptoms through 500 days post-inoculation, suppressed prion replication by 100-fold and minimized neuropathological changes. Treatment begun after symptoms appeared also substantially extended survival.

The depth of the reduction appears important: prion strains that respond differently to more modest lowering were both effectively addressed by deep knockdown. The researchers suggest that differences between these strains may involve neurotoxicity rather than replication speed. A separate siRNA targeting human PRNP durably lowered PrP in humanized mice and cynomolgus macaques, providing a bridge toward translation—not evidence of disease prevention in people. Beyond prion research, the study illustrates how the degree of target suppression can determine whether an intervention merely slows a process or keeps its consequences at bay.

A forgotten memory may be difficult to reach #

Why do our earliest experiences become so difficult to remember? Researchers followed toddlers aged 18-24 months through learning, retrieval one day later and delayed testing up to six months later, using a naturalistic episodic-memory task. Computational modelling suggested that forgetting was not uniform: toddlers were as likely to retain the full memory as to lose it completely, while nearly a quarter retained only part. Accuracy during learning predicted full recall at the early test, but not at the delayed test.

Instead, a retrieval-specific EEG signature predicted complete recall before the toddlers gave their behavioural response. The findings support the idea that some early memories become inaccessible rather than simply disappearing, although behavioural failure cannot by itself establish whether a memory survives. Using the COVID-19 pandemic as a natural experiment, the researchers also linked maternal immune activation during pregnancy to altered vulnerability to forgetting. The broader lesson is that remembering depends not only on what was stored, but on the machinery available to retrieve it.

The brain's ongoing rhythm helps set the response #

A cue does not arrive in a brain that is waiting motionless. A new preprint introduces Rotational Component Analysis, a method designed to detect rotational patterns in neural activity, including patterns too low in variance to stand out in more conventional analyses. The researchers applied it across recordings from monkeys, mice and humans, spanning electrical activity, calcium imaging, fMRI and MEG. In mice, the phase of a spontaneous rotational pattern when a randomly timed cue arrived predicted whether the animal subsequently pulled a lever.

A recurrent neural network and a minimal model offered an explanation for how ongoing rotation could constrain responses and learning. The analysis also identified patterns separating preparation from task activity, including during a non-motor human task. A measure of rotational irreversibility distinguished early psychosis where principal component analysis showed no group difference. These results suggest a useful way to describe how an internal brain state shapes incoming information, but prediction and modelling do not establish that the measured rotation itself causes an animal's choice.

Listening between seizures with ultrasound #

Locating the source of epileptic seizures can require invasive monitoring and waiting for seizures to occur. In a clinical preprint, researchers instead used functional ultrasound directly on exposed cortex during surgery in nine patients with drug-resistant focal epilepsy. They developed six markers of interictal activity—the activity between seizures—from ultrasound measurements of blood-flow dynamics. These markers distinguished seizure-onset cortex from surrounding tissue and changed in the surrounding cortex after resection.

Responsive neurostimulation also altered the measurements, with effects depending on the stimulation paradigm. Despite their very different mechanisms, stimulation and resection produced changes in the same direction across five of the six markers. That convergence makes ultrasound interesting as a complementary readout of treatment-associated brain responses. It does not yet establish that these hemodynamic markers can independently locate a seizure source or predict clinical benefit; the immediate advance is feasibility during an operation.


These preprints share an interest in what lies beneath an obvious outcome: protein abundance beneath symptoms, retrieval processes beneath forgetting, ongoing dynamics beneath an action, and blood-flow signals between seizures. Their practical promise depends on keeping those levels distinct. A marker is not automatically a mechanism, and a changed mechanism is not yet a demonstrated benefit in people—but connecting those levels is how useful explanations and interventions take shape.

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Written by AI from the 345 papers of the week in this field. Most are preprints, not yet peer reviewed: the text says what their authors report.

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