Abstract

Background

Auditory verbal hallucinations, which frequently involve negative emotions, are reliable symptoms of schizophrenia. Brain asymmetries have also been linked to the condition, but the relevance of asymmetries within the amygdala, which coordinates all emotional signals, to the content of and response to auditory verbal hallucinations has not been explored.

Methods

We evaluated the performance of two asymmetry biomarkers that were recently introduced in literature: the distance index, which captures global asymmetries, and a revised version of the laterality index, which captures left–right local asymmetries. We deployed random forest regression models over values computed with the distance index and with the laterality index over amygdala nuclei volumes (lateral, basal, accessory-basal, anterior amygdaloid area, central, medial, cortical, cortico-amygdaloid area, and paralaminar) for 71 patients and 71 age-matched controls.

Results

Both biomarkers made successful predictions for the 35 items of the revised version of the Belief About Voices Questionnaire, such that hallucination severity increased with increasing local asymmetries and with decreasing global asymmetries of the amygdala.

Conclusions

Our findings highlight a global reorganization of the amygdala, where left and right nuclei volumes differ pairwise but become proportionally more similar as hallucinations increase in severity. Identifying asymmetries in particular brain structures relevant to specific symptoms could help monitor the evolution and outcome of psychopathological conditions.

Details

Title
Widespread asymmetries of amygdala nuclei predict auditory verbal hallucinations in schizophrenia
Author
Dumitru, Magda L; Johnsen, Erik; Kroken, Rune A; Else-Marie Løberg; Lin Lilleskare; Ersland, Lars; Hugdahl, Kenneth
Pages
1-13
Section
Research
Publication year
2024
Publication date
2024
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3142297145
Copyright
© 2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.