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Related Experiment Video

Updated: Sep 18, 2025

The Unpredictable Chronic Mild Stress Protocol for Inducing Anhedonia in Mice

The Unpredictable Chronic Mild Stress Protocol for Inducing Anhedonia in Mice

Published on: October 24, 2018

Evaluating state-based network dynamics in anhedonia.

Angela Pisoni^1,2, Jeffrey Browndyke^3,4,2, Simon W Davis^1,5

¹Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.

Neuroimage. Reports

|June 26, 2025

Summary

This summary is machine-generated.

Anhedonia severity is linked to altered brain network activity, specifically the Default Mode Network (DMN). Individuals with higher anhedonia show less DMN reorganization during reward anticipation, suggesting potential hyposensitivity.

Keywords:

Anhedonia Default mode network Graph theory Network dynamics Reward Salience network

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Area of Science:

Neuroscience
Clinical Psychology
Network Science

Background:

Anhedonia is a core symptom in various psychiatric disorders, characterized by a reduced ability to experience pleasure.
Despite its clinical significance, the neural network underpinnings of anhedonia remain incompletely understood.
Existing research often focuses on the Salience Network (SN), but a comprehensive network-level characterization is lacking.

Purpose of the Study:

To investigate the network dynamics associated with anhedonia using a graph theoretical approach.
To examine brain network activity during rest and reward anticipation in adults with clinically significant anhedonia.
To explore the roles of the Salience Network (SN), Default Mode Network (DMN), and Central Executive Network (CEN) in anhedonia.

Main Methods:

Employed a graph theoretical analysis of functional magnetic resonance imaging (fMRI) data.
Analyzed brain network dynamics in a transdiagnostic sample of 77 adults with anhedonia.
Focused on state-based network reorganization from rest to reward anticipation, specifically examining the SN, DMN, and CEN.

Main Results:

Contrary to hypotheses, no significant association was found between the Salience Network (SN) and anhedonia severity.
A significant association emerged between anhedonia severity and altered Default Mode Network (DMN) reorganization from rest to reward anticipation.
Greater anhedonia severity correlated with reduced DMN reorganization during reward anticipation, suggesting DMN hyposensitivity.

Conclusions:

The findings challenge the exclusive focus on the SN in anhedonia research.
Suggests that altered DMN dynamics, specifically hyposensitivity and impaired disengagement from internal mentation during rewarding contexts, are implicated in anhedonia.
Highlights the importance of the DMN in understanding the neural mechanisms of anhedonia and its clinical impact.