Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling.

ABSTRACT:

Main problem

Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being associated with poor prognosis. Understanding the neural mechanisms underlying anhedonia is of great significance for individuals with MDD, and it encourages the search for objective indicators that can reliably identify anhedonia.

Methods

A predictive model used connectome-based predictive modeling (CPM) for anhedonia symptoms was developed by utilizing pre-treatment functional connectivity (FC) data from 59 patients with MDD. Node-based FC analysis was employed to compare differences in FC patterns between melancholic and non-melancholic MDD patients. The support vector machines (SVM) method was then applied for classifying these two subtypes of MDD patients.

Results

CP

SUBMITTER: Yang T 

PROVIDER: S-EPMC11261463 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature