The rise of machine learning has unlocked new ways of analysing structural neuroimaging
data, including brain age prediction. In this state-of-the-art review, we provide an …

Background Brain age is a biomarker that predicts chronological age using neuroimaging
features. Deviations of this predicted age from chronological age is considered a sign of age …

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments,
age-related chronic disease, and premature mortality. We investigated evidence for …

Despite loss of grey matter volume and emergence of distinct cognitive deficits in young
adults diagnosed with schizophrenia, current treatments for schizophrenia do not target …

Objective To evaluate whether accelerated brain aging occurs in individuals with mood or
psychotic disorders. Methods A systematic review following PRISMA guidelines was …

Background Posttraumatic stress disorder (PTSD) is associated with markers of accelerated
aging. Estimates of brain age, compared to chronological age, may clarify the effects of …

Objective: Bipolar disorders increase the risk of dementia and show biological and brain
alterations, which resemble accelerated aging. Lithium may counter some of these …

Although many studies on brain-age prediction in patients with schizophrenia have been
reported recently, none has predicted brain age based on different neuroimaging modalities …

Objectives The profiles of cortical abnormalities in schizophrenia and bipolar disorder, and
how far they resemble each other, have only been studied to a limited extent. The aim of this …

Many factors have contributed to rendering frailty an emerging, relevant, and very popular
concept. First, many pandemics that have affected humanity in history, including COVID-19 …