Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …

This literature review focuses on the underlying pathophysiology of TBI and PTSD
symptoms, while also examining the plethora of stem cell treatment options to ameliorate …

Abstract Purpose of Review Women are twice as likely to develop post-traumatic stress
disorder (PTSD) compared to men after a traumatic experience. The purpose of this mini …

The clinical applications of brain age prediction have expanded, particularly in anticipating
the onset and prognosis of various neurodegenerative diseases. In the current study, we …

Background A neuroimaging-based biomarker termed the brain age is thought to reflect
variability in the brain's ageing process and predict longevity. Using Insight 46, a unique …

Background Biomarkers for the early detection of dementia risk hold promise for better
disease monitoring and targeted interventions. However, most biomarker studies …

Importance Maternal mental health problems during pregnancy are associated with altered
neurodevelopment in offspring, but the long-term relationship between these prenatal risk …

Evidence suggests that psychopathology is associated with an advanced brain ageing
process, typically mapped using machine learning models that predict an individual's age …

Schizophrenia is characterized by abnormal brain structure such as global reductions in
gray matter volume. Machine learning models trained to estimate the age of brains from …

Chronic musculoskeletal pain is a health burden that may accelerate the aging process.
Accelerated brain aging and epigenetic aging have separately been observed in those with …