A new study reports that individuals with chronic insomnia may face a more rapid decline in memory and thinking abilities as they age. Published in Neurology, the medical journal of the American Academy...

Rejuvenating the brain's waste-removal system can enhance memory in aging mice, potentially offering a new approach to combat neurodegenerative diseases like Alzheimer's and Parkinson's. ...

YouTube video by Judy Plus--scientific discoveries.

Background: Precise assessment of brain aging is crucial for early detection of neurodegenerative disorders and aiding clinical practice. Existing magnetic resonance imaging (MRI)–based methods excel in this task, but they still have room for improvement in capturing local morphological variations across brain regions and preserving the inherent neurobiological topological structures. Objective: To develop and validate a deep learning framework incorporating both connectivity and complexity for accurate brain aging estimation, facilitating early identification of neurodegenerative diseases. Methods: We used 5889 T1-weighted MRI scans from the Alzheimer’s Disease Neuroimaging Initiative dataset. We proposed a novel brain vision graph neural network (BVGN), incorporating neurobiologically informed feature extraction modules and global association mechanisms to provide a sensitive deep learning–based imaging biomarker. Model performance was evaluated using mean absolute error (MAE) against benchmark models, while generalization capability was further validated on an external UK Biobank dataset. We calculated the brain age gap across distinct cognitive states and conducted multiple logistic regressions to compare its discriminative capacity against conventional cognitive-related variables in distinguishing cognitively normal (CN) and mild cognitive impairment (MCI) states. Longitudinal track, Cox regression, and Kaplan-Meier plots were used to investigate the longitudinal performance of the brain age gap. Results: The BVGN model achieved an MAE of 2.39 years, surpassing current state-of-the-art approaches while obtaining an interpretable saliency map and graph theory supported by medical evidence. Furthermore, its performance was validated on the UK Biobank cohort (N=34,352) with an MAE of 2.49 years. The brain age gap derived from BVGN exhibited significant difference across cognitive states (CN vs MCI vs Alzheimer disease; P

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Poor sleep may age the brain faster, according to a major imaging study from Karolinska Institutet. People who struggle with poor sleep tend to have brains that look older than their actual age, according...

Recreational cannabis use may be associated with a significant decrease in the odds of experiencing subjective cognitive decline (SCD) in adults over 45.

A new study published in the journal Food Science & Nutrition suggests that creatine supplementation may help protect the brain from age-related memory and learning impairments. The researchers found...

Biological ageing can be defined as a gradual loss of homeostasis across various aspects of molecular and cellular function1,2. Mammalian brains consist of thousands of cell types3, which may be differentially susceptible or resilient to ageing. Here we present a comprehensive single-cell RNA sequencing dataset containing roughly 1.2 million high-quality single-cell transcriptomes of brain cells from young adult and aged mice of both sexes, from regions spanning the forebrain, midbrain and hindbrain. High-resolution clustering of all cells results in 847 cell clusters and reveals at least 14 age-biased clusters that are mostly glial types. At the broader cell subclass and supertype levels, we find age-associated gene expression signatures and provide a list of 2,449 unique differentially expressed genes (age-DE genes) for many neuronal and non-neuronal cell types. Whereas most age-DE genes are unique to specific cell types, we observe common signatures with ageing across cell types, in

Current theories about why schizophrenia develops suggest it may be linked to changes in brain development during this critical period of emerging adulthood. Schizophrenia is also thought to be similar...

YouTube video by Greenhouse for Mental Health Development

A study of thousands of people finds that neural connections in the brain start to break down quickly around age 44, but the research hints that ketone supplements could potentially ...

Objective Because the role of white matter (WM) degenerating microglia (DM) in remyelination failure is unclear, we sought to define the core features of this novel population of aging human microgl...

Researchers are trying to understand the profound effects of COVID-19 on the brain, looking at how it disrupts the blood-brain barrier, how it affects brain volume, and showing that even a mild case of COVID can lead to the equivalent of seven years of brain aging.

Researchers explored brain white matter integrity in superagers, older adults with exceptional cognitive abilities, finding that while overall white matter health showed no significant differences, su...

The green-Mediterranean diet may protect against brain aging by reducing protein markers linked to cognitive decline. Adopting a green-Mediterranean diet, which incorporates green tea and the aquatic...

ine. What is unclear, however, is the extent to which antioxidant nutrients may exert neuroprotective effects through their influence on established indicators of age-related changes in brain tissue. ...

A German study shows that SARS-CoV-2 spike protein remains in the brain for years, causing chronic inflammation and accelerating brain aging, even after infection.