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Modeling the Functional Network for Spatial Navigation in the Human Brain

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Brain network localization of anhedonia.

Chenglong Liu^1,2,3, Yu Song^1,2,3, Xufeng Zhao^1,2,3

¹Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.

Translational Psychiatry

|March 30, 2026

Summary

Anhedonia, a core symptom of major depressive disorder (MDD), is linked to specific brain networks. This study mapped the anhedonia network, identifying key regions and networks involved in reward processing deficits.

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Area of Science:

Neuroscience
Psychiatry
Neuroimaging

Background:

Anhedonia, a deficit in reward processing, is a core symptom of major depressive disorder (MDD).
Understanding the neural networks underlying anhedonia is crucial for developing targeted treatments.
Previous research has limited focused efforts on the network localization of anhedonia.

Purpose of the Study:

To identify and map the brain network associated with anhedonia.
To integrate neuroimaging literature with large-scale functional connectivity data.
To differentiate network involvement in trait versus state anhedonia.

Main Methods:

Synthesized neuroimaging literature to identify brain regions affected by anhedonia.
Applied functional connectivity network mapping to resting-state fMRI datasets (discovery and validation).
Analyzed large cohorts of healthy individuals and MDD patients.

Main Results:

Constructed an anhedonia network involving the dorsal anterior cingulate cortex, insula, lateral prefrontal cortex, and striatum.
The anhedonia network primarily implicates the ventral attention and subcortical networks.
Trait anhedonia preferentially involved the default network, while state anhedonia involved the limbic network.

Conclusions:

Advances the understanding of anhedonia's neurobiology from a network perspective.
Provides a foundation for developing more targeted interventions for anhedonia in MDD.
Highlights the distinct network involvement of trait and state anhedonia.