Exploring the role of the amygdala in Compulsive Sexual Behavior Disorder via a parcellation pipeline based on Recurrence Quantification Analysis

Journal of Behavioral Addictions

Excerpts: 

Our study provides the first amygdala parcellation in CSBD [Compulsive Sexual Behavior Disorder] patients which revealed alterations in subdivisions’ size compared to healthy individuals and multiple correlations of their functioning with the severity of CSBD symptoms. The results of our study have provided evidence that exploration of the amygdala on the level of its subdivisions is important to understand how the changes in its functional processing are related to the neural mechanisms behind CSBD. …

Our study highlights the need to treat the amygdala as a complex structure to explain its role in CSBD. We believe that further investigation of specific sections of the amygdala and their involvement in CSBD will contribute to a better understanding of this disorder and inform future treatment.

Adamus, Sylwia, Krzysztof Bielski, Iwona Szatkowska, Mateusz Gola, and Małgorzata Draps. Journal of Behavioral Addictions (published online ahead of print 2025). https://doi.org/10.1556/2006.2025.00014

Abstract

Background and aims

Despite the inclusion of Compulsive Sexual Behavior Disorder (CSBD) in the ICD-11, there are many open questions on its neuronal pathogenesis, especially regarding the role of the amygdala. In this study, we aimed to further unravel this issue via a parcellation method based on Recurrence Quantification Analysis (RQA).

Methods

The RQA pipeline was applied to resting-state functional magnetic resonance imaging data from 45 heterosexual males with CSBD and 26 Healthy Controls. Each amygdala was divided into two subdivisions in each group. In the CSBD group, the scores of psychological questionnaires were used as covariates in a second-level seed-to-voxel connectivity analysis with the amygdala as a region of interest.

Results

Obtained parcellations revealed bilateral differences in the sizes of dorsomedial (DM) and ventrolateral (VL) amygdala between groups. Mean values of Shannon’s Entropy in the left DM and right VL amygdala correlated negatively with depression level, anxiety, and impulsivity, which might represent a vulnerability to CSBD, but only the right VL was implicated in the severity of CSBD symptoms. Multiple correlations between resting-state functional connectivity of the amygdala subdivisions and CSBD severity were observed, especially between the left VL amygdala and several default mode network nodes.

Discussion and Conclusions

This is the first attempt to explore the role of the amygdala in CSBD by a parcellation method. Our results suggest the importance of the right VL amygdala in understanding the pathogenesis of the severity of CSBD symptoms, which highlights the rising need to explore the amygdala as a complex structure with diverse functions.