Advance neuroimage analysis techniques can be used to obtain biomarkers from functional and structural brain images, which leads to a better understanding of psychiatric disorders by measuring and evaluating specific characteristics of the brain, such as volume information from brain regions or connectivity information between areas.
Patterns of functional connectivity
This tool based on resting state functional connectivity, can give insights on how different regions of the brain are functionally correlated. It can be useful to measure how certain diseases might disrupt or affect the exchange of information between specific regions or how certain functional networks might be disrupted.(26, 27, 28)
Grey matter volume and thickness
These tools measure brain morphology and volumes of different regions. It can be used to study whether a particular psychiatric disease may target specific brain regions (or their connections which might also result in a change on their morphology).(29)
Patterns of Whole Brain Structural Connectivity
Graph theoretical analysis of structural connectivity MRI data has provided new measures of human brain organization in vivo. Degree distribution of brain networks demonstrates highly connected hubs that are crucial for the whole network functioning, such topological definition brings new insights into a better understanding of pathophysiology of many psychiatric diseases affecting specific local or global brain networks such as schizophrenia.(30, 31, 32)