International Project: Investigation of the brain complexity across diagnoses

Research Division:

Deadline:

01.09.2025 -
Active Project Applications are closed

Description:

Neuroimaging biomarkers, based on texture features and nonlinear methods, are useful for predicting transdiagnostic clinical symptom severity and clinical outcomes, i.e., age, positive, negative, and depressive symptoms, and functionality.  Chaos analysis expressed by the Lyapunov exponent has been applied in many physiological and behavioural studies. In psychiatry, the use of nonlinear methods is limited in all modalities despite the nonlinear structure and function of the human brain.’

Goals:

Identification of the brain complexity differentiation across diagnoses using nonlinear mathematical models such as texture features and chaos analysis