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CONCLUSION: This study found that better sleep quality was longitudinally associated with better psychological well-being among Chinese older adults over time. The results suggest that enhanced sleep quality among older adults in China is strongly associated with improved psychological well-being.

A person’s sleeping brain may reveal warning signs of dementia long before memory problems begin. Researchers used machine learning to analyze EEG recordings from about 7,000 adults and found that an older-than-expected “brain age” was tied to a sharply higher dementia risk. Every additional 10 years of brain aging raised that risk by nearly 40%.

Researchers have uncovered a possible biological pathway connecting obesity to Alzheimer’s disease. Obesity appears to raise levels of certain fat molecules that can travel to the brain, disrupt its immune defenses, and promote harmful amyloid buildup. Correcting this fat imbalance improved memory and brain function in Alzheimer’s models.

Keeping a regular daily schedule may help reduce pain and depression, especially among older adults with insomnia. Researchers found that consistent times for waking, eating, socializing, and sleeping were linked to better well-being regardless of sleep quality. These routines may strengthen the body’s internal clock and limit the disruptive effects of “social jet lag.”

A compound in rice bran may help calm an overactive gut by reducing the calcium signals that cause intestinal muscles to contract. Ferulic acid suppressed contractions triggered by several chemical messengers in laboratory experiments. The discovery could eventually support new dietary approaches for diarrhea-related digestive disorders, although it may make constipation worse.

Alzheimer's disease is increasingly defined by biomarker evidence of amyloid-β and tau pathology, sharpening questions about whether late-life depression contributes to, or instead reflects, this pathology. We conducted a systematic review and meta-analysis of studies published between 2000 and 2025 that compared amyloid-β biomarkers in adults with and without depression, with depression defined by validated clinical diagnoses or symptom rating scales. Twenty-four studies were included, spanning...

US healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias. Generative artificial intelligence (AI) built on large language models now enables agentic AI systems that can streamline clinical workflows, integrate multimodal data and learn from practicing specialists. We envision an agentic AI system that scales specialist-level care to nonspecialist clinical settings through a continuously learning healthcare...

Decades of structural magnetic resonance imaging (MRI) studies have documented alterations of gray matter morphometry in psychiatric disorders, but the field has failed to identify any consensus disease phenotypes. Here we examine whether current approaches will ever converge on such phenotypes by evaluating the consistency of brain-wide maps of gray matter volume and cortical thickness differences obtained for each of 59 study sites of five psychiatric disorders (schizophrenia, schizoaffective...

CONCLUSIONS AND IMPLICATIONS: Taiwan's experience highlights the feasibility and effectiveness of integrated home-centered care for neurodegenerative diseases and offers transferable insights for health care systems facing rapid population aging.

CONCLUSION: Aging and sarcopenia induce distinct and measurable muscle shape alterations. Advanced shape modeling, particularly using INR, showed higher sensitivity. Rectus Femoris emerged as a promising candidate for a shape-based biomarker. Although the metrics presented here should not be interpreted as classification metrics, this study provides a reproducible, open-source framework for muscle shape analysis relevant to aging research.