Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. It seems odd that your body's internal age may differ from your chronological one. But Tony Wyss-Coray, a Swiss professor of neurology and director of the Knight Initiative for Brain Resilience at Stanford University, has pioneered ways to measure a person's "biological age," which scientists say more accurately reflects how a body is aging than does chronological age.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. US Army U-turn over futuristic drone and robot unit is slammed as'deeply dangerous' This is an epic humiliation for Harry and Meghan. But these two are dangerous... we should fear the twisted real strategy behind their UK return: MAUREEN CALLAHAN America's pancreatic cancer explosion: Science breakthrough leaves experts fearing surprisingly common lifestyle habit is behind surge in young patients... as new early warning sign is revealed Trump's under-siege aide Natalie Harp caught in foul-mouthed explosion as insiders reveal White House whispers about her close access to president Sussexes'already have a house lined up to live in... and it's not a Royal residence' A close friend of Trump has told me the truth about his young aide Natalie. There's a reason the whispers are getting louder: KENNEDY Hayden Panettiere's LA neighbors were warned to call police if they saw her ex Brian Hickerson in the past... as DEA reportedly joins investigation into star's death I was mocked a year ago when I warned there was an Establishment plot to bring Harry and Meghan back to Britain. Now I've been proven right... and my sources have made it clear this is only the beginning: RICHARD EDEN Surrogate who refused to abort baby in fresh battle with biological parents over child's NAME Why loyal Trump aide Natalie Harp has only one pair of shoes - and she can even drive a golf cart in them! The'affair mode' phone settings that all cheaters use: I knew my partner was up to something... here's how I cracked his secret code and uncovered all his dirty antics Read Brian Hickerson's sinister texts to girlfriend Hayden Panettiere as he breaks cover after star's death: 'Time to go to war' Shocking moment 16-year-old girl storms field and tackles middle school football player... before being hit with assault charges and lifetime ban Virginia mother stabbed to death on jogging trail'by teenage migrant coworker' who was caught entering US illegally two years ago... then released Brooklyn Beckham's pizza-making post is flooded with pleas from fans as he shares cooking video hours after brother Romeo attended Italian culinary class Common brain disorder suffered by millions is often dismissed as being'all in your head' READ MORE: Life skill that reduces chances of dying from Alzheimer's disease By the time many people with functional neurological disorder - a condition in which there is a problem with how the brain sends and receives signals - arrive at a doctor's office, they have heard these five words more times than they can count.

Researchers found that a metabolite produced by gut bacteria can weaken the barrier that protects the brain and promote changes associated with the cognitive disease. For years, scientists have known that the gut microbiome of people with Alzheimer's differs from that of healthy people. What remains unclear is whether these differences are a consequence of the disease, contribute to it, or simply accompany it. It is possible that part of the puzzle lies not in the gut bacteria themselves but in the molecules they produce, which end up circulating throughout the body. A team of scientists believes it has found one such molecule.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Alzheimer's Disease Open follow modal Personalized Content Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

How healthy is your brain? In our efforts to keep our brains healthy, how do we know what is working? It shouldn't have been difficult: 72 x 72. From the back seat, my daughter, newly confident in mental maths, wanted to check her answer. Whether it was because it was the end of the day, I was trying to park or something else, I stalled, cognitively speaking. Lately, though, I have had the sense that my brain isn't firing on all cylinders.

A large-scale clinical trial has shown that even long-term consumption of DHA--an omega-3 fatty acid found in abundance in oily fish--may not lead to improvements in cognitive function. Docosahexaenoic acid (DHA), an omega-3 fatty acid found in abundance in oily fish such as mackerel and sardines, is thought to improve cognitive function by supporting connections between brain cells. However, it has never been conclusively demonstrated that DHA taken as a dietary supplement actually reaches the brain or provides measurable benefits against dementia . Against this backdrop, a research team at the USC School of Medicine has published the results of a large, two-year clinical trial involving older adults at elevated risk of developing Alzheimer's disease . The study found that while high-dose DHA supplements do indeed reach the brain, they did not improve memory or cognitive function, nor did they slow brain atrophy.

Medical time-series data play a vital role in disease diagnosis but suffer from limited labeled samples and single-center bias, which hinder model generalization and lead to overfitting. To address these challenges, we propose DAAC (Discrepancy-Aware Adaptive Contrastive learning), a learnable multi-view contrastive framework that integrates external normal samples and enhances feature learning through adaptive contrastive strategies. DAAC consists of two key modules: (1) a Discrepancy Estimator, built upon a GAN-enhanced encoder-decoder architecture, captures the distribution of normal data and computes reconstruction errors as indicators of abnormality. These discrepancy features augment the target dataset to mitigate overfitting.

BrainODElearns a deformation space over anatomically meaningful brain regions to facilitate early prediction of neurodegenerative disease progression. Addressing inherent challenges of longitudinal neuroimaging data--such as limited sample sizes, irregular temporal sampling, and substantial inter-subject variability--we propose a conditional neural ODE architecture that models shape dynamics with subject-specific age and cognitive status. To enable autoregressive forecasting of brain morphology from a single observation, we propose a pseudo-cognitive status embedding that allows progressive shape prediction across intermediate time points with predicted cognitive decline. Experiments show that BrainODE outperforms time-aware baselines in predicting future brain shapes, demonstrating strong generalization across longitudinal datasets with both regular and irregular time intervals.

In typical graph neural networks (GNNs), feature representation learning naturally evolves through iteratively updating node features and exchanging information based on graph topology. In this context, we conceptualize that the learning process in GNNs is a mean-field game (MFG), where each graph node is an agent, interacting with its topologically connected neighbors. However, current GNNs often employ the identical MFG strategy across different graph datasets, regardless of whether the graph exhibits homophilic or heterophilic characteristics. To address this challenge, we propose to formulate the learning mechanism into a variational framework of the MFG inverse problem, introducing an in-context selective message passing paradigm for each agent, which promotes the best overall outcome for the graph. Specifically, we seek for the application-adaptive transportation function (controlling information exchange throughout the graph) and reaction function (controlling feature representation learning on each agent), on the fly, which allows us to uncover the most suitable selective mechanism of message passing by solving an MFG variational problem through the lens of Hamiltonian flows. Taken together, our variational framework unifies existing GNN models into various mean-field games with distinct equilibrium states, each characterized by the learned in-context message passing operators. Furthermore, we present an agnostic end-to-end deep model, coined Game-of-GNN, to jointly identify the message passing mechanism and fine-tune the GNN hyper-parameters on top of the elucidated message passing operators. Game-of-GNN has achieved SOTA performance on diverse graph data, including popular benchmark datasets and human connectomes. More importantly, the mathematical insight of MFG framework provides a new window to understand the foundational principles of graph learning as an interactive dynamical system, which allows us to reshape the idea of designing next-generation GNN models.

Dynamic functional brain networks (DFBNs) are powerful tools in neuroscience research. Recent studies reveal that DFBNs contain heterogeneous neural nodes with more extensive connections and more drastic temporal changes, which play pivotal roles in coordinating the reorganization of the brain. Moreover, the spatiotemporal patterns of these nodes are modulated by the brain's historical states. However, existing methods not only ignore the spatio-temporal heterogeneity of neural nodes, but also fail to effectively encode the temporal propagation mechanism of heterogeneous activities. These limitations hinder the deep exploration of spatio-temporal relationships within DFBNs, preventing the capture of abnormal neural heterogeneity caused by brain diseases.