Immunopsychiatric field has rapidly accumulated evidence demonstrating the involvement of
both innate and adaptive immune components in psychotic disorders such as …

Previous studies evaluating the morphology of the selected retinal layers in schizophrenia
showed abnormalities regarding macular thickness, retinal nerve fiber layer (RNLF), and …

The aberrant aging hypothesis of schizophrenia (SCZ) and autism spectrum disorder (ASD)
has been proposed, and the DNA methylation (DNAm) clock, which is a cumulative …

Deep learning techniques have demonstrated great potential for accurately estimating brain
age by analyzing Magnetic Resonance Imaging (MRI) data from healthy individuals …

Introduction One major challenge in developing personalised repetitive transcranial
magnetic stimulation (rTMS) is that the treatment responses exhibited high inter-individual …

Objectives This study aimed to evaluate the potential clinical value of a new brain age
prediction model as a single interpretable variable representing the condition of our brain …

Abstract Introduction Functional brain networks (FBNs) coordinate brain functions and are
studied in fMRI using blood-oxygen-level-dependent (BOLD) signal correlations. Previous …

Since the introduction of the BrainAGE method, novel machine learning methods for brain
age prediction have continued to emerge. The idea of estimating the chronological age from …

Predicted brain age could be used to measure individual brain status over development and
degeneration, which could also indicate the potential risk of age-related brain disorders …

As a biomarker of human brain health during development, brain age is estimated based on
subtle differences in brain structure from those under typical developmental. Magnetic …