Around a third of the total population of Europe suffers from mental disorders. The use of
electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose …

The rapid and continual development of a number of radiopharmaceuticals targeting
different receptor, enzyme and small molecule systems has fostered Positron Emission …

Understanding human disease on a molecular level, and translating this understanding into
targeted diagnostics and therapies are central tenets of molecular medicine. Realizing this …

Objectives This study compared machine learning models using unimodal imaging
measures and combined multi-modal imaging measures for deep brain stimulation (DBS) …

Dopamine and norepinephrine are implicated in the pathophysiology of mental disorders,
but non-invasive study of their neuronal function remains challenging. Recent research …

Mental disorder is a complex class of diseases characterized by abnormalities in perception,
thought, emotion, or behavior activities. According to the 2022 World's Mental Health report …

Approximately 40% of patients with major depressive disorder (MDD) had limited response
to conventional antidepressant treatments, resulting in treatment-resistant depression (TRD) …

Isotopic labeling is an attractive modality that has been widely used in many aspects of
chemistry, the life sciences, and medical research; especially deuterated drugs and …

Positron-emission tomography (PET) is an important tool that allows us to see in vivo
biochemical processes in the brain. PET imaging studies in neuropsychiatry advance our …

This chapter discusses the relevance of functional neuroimaging techniques, particularly
functional magnetic resonance imaging (fMRI), for the development of biomarkers for …