Application of positron emission tomography in psychiatry-methodological developments and future directions.
Simon CervenkaAndreas FrickRobert BodénMark LubberinkPublished in: Translational psychiatry (2022)
Mental disorders represent an increasing source of disability and high costs for societies globally. Molecular imaging techniques such as positron emission tomography (PET) represent powerful tools with the potential to advance knowledge regarding disease mechanisms, allowing the development of new treatment approaches. Thus far, most PET research on pathophysiology in psychiatric disorders has focused on the monoaminergic neurotransmission systems, and although a series of discoveries have been made, the results have not led to any material changes in clinical practice. We outline areas of methodological development that can address some of the important obstacles to fruitful progress. First, we point towards new radioligands and targets that can lead to the identification of processes upstream, or parallel to disturbances in monoaminergic systems. Second, we describe the development of new methods of PET data quantification and PET systems that may facilitate research in psychiatric populations. Third, we review the application of multimodal imaging that can link molecular imaging data to other aspects of brain function, thus deepening our understanding of disease processes. Fourth, we highlight the need to develop imaging study protocols to include longitudinal and interventional paradigms, as well as frameworks to assess dimensional symptoms such that the field can move beyond cross-sectional studies within current diagnostic boundaries. Particular effort should be paid to include also the most severely ill patients. Finally, we discuss the importance of harmonizing data collection and promoting data sharing to reach the desired sample sizes needed to fully capture the phenotype of psychiatric conditions.
Keyphrases
- positron emission tomography
- computed tomography
- pet ct
- pet imaging
- electronic health record
- big data
- high resolution
- mental health
- clinical practice
- newly diagnosed
- healthcare
- end stage renal disease
- multiple sclerosis
- physical activity
- data analysis
- social media
- deep learning
- peritoneal dialysis
- patient reported outcomes
- risk assessment
- blood brain barrier
- genetic diversity
- subarachnoid hemorrhage
- patient reported
- smoking cessation
- cerebral ischemia
- replacement therapy