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KMID : 1009020240220010105
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Clinical Psychopharmacology and Neuroscience
2024 Volume.22 No. 1 p.105 ~ p.117
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The Association between Default-mode Network Functional Connectivity and Childhood Trauma on the Symptom Load in Male Adults with Methamphetamine Use Disorder
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Shyh-Yuh Wei
Tsung-Han Tsai
Tsung-Yu Tsai
Po See Chen
Huai-Hsuan Tseng
Yen Kuang Yang
Tianye Zha
Yihong Yang
Tzu-Yun Wang
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Abstract
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Objective: The relationship between adverse childhood experiences and methamphetamine use disorder (MUD) has been shown in previous studies; nevertheless, the underlying neural mechanisms remain elusive. Childhood trauma is associated with aberrant functional connectivity (FC) within the default-mode network (DMN). Furthermore, within the DMN, FC may contribute to impaired self-awareness in addiction, while cross-network FC is critical for relapse.
We aimed to investigate whether childhood trauma was associated with DMN-related resting-state FC among healthy controls and patients with MUD and to examine whether DMN-related FC affected the effect of childhood trauma on the symptom load of MUD diagnosis.
Methods: Twenty-seven male patients with MUD and 27 male healthy controls were enrolled and completed the Childhood Trauma Questionnaire. DMN-related resting-state FC was examined using functional magnetic resonance imaging.
Results: There were 47.1% healthy controls and 66.7% MUD patients in this study with adverse childhood experiences.
Negative correlations between adverse childhood experiences and within-DMN FC were observed in both healthy controls and MUD patients, while within-DMN FC was significantly altered in MUD patients. The detrimental effects of adverse childhood experiences on MUD patients may be attenuated through DMN-executive control networks (ECN) FC.
Conclusion: Adverse childhood experiences were negatively associated with within-DMN FC in MUD patients and healthy controls. However, DMN-ECN FC may attenuate the effects of childhood trauma on symptoms load of MUD.
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KEYWORD
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Amphetamines, Adverse childhood experiences, Default mode network, Magnetic resonance imaging, Mediation analysis
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