The Mediating Role of Brain Structural Imaging Markers in Connecting Adverse Childhood Experiences and Psychological Resilience.
Yun-Hsuan ChangMeng-Heng YangZai-Fu YaoMeng-Che TsaiShulan HsiehPublished in: Children (Basel, Switzerland) (2023)
The impact of adverse childhood experiences (ACEs) on brain structure has been noticed. Resilience has been considered a protective characteristic from being mentally ill; however, the link between ACEs, psychological resilience, and brain imaging remains untested. A total of 108 participants (mean age 22.92 ± 2.43 years) completed the ACEs questionnaire and the Resilience Scale for Adults (RSA), with five subscales: personal strength (RSA_ps), family cohesion (RSA_fc), social resources (RSA_sr), social competence (RSA_sc), and future structured style (RSA_fss), and Magnetic Resonance Imaging (MRI) to acquire imaging data, and the fusion-independent component analysis was employed to determine multimodal imaging components. The results showed a significantly negative association between ACE subscales and RSA_total score ( ps < 0.05). The parallel mediation model showed significant indirect mediation of mean gray matter volumes in the regions of the middle frontal gyrus, superior frontal gyrus, posterior cingulate, superior temporal gyrus, middle temporal gyrus, postcentral gyrus, middle temporal gyrus, and precuneus between childhood maltreatment and RSA_sr and RSA_sc. ( ps < 0.05). This study highlighted the ACEs effect on gray matter volumes in the regions of the middle frontal gyrus, superior frontal gyrus, posterior cingulate, superior temporal gyrus, middle temporal gyrus, postcentral gyrus, middle temporal gyrus, and precuneus leading to decreased psychological resilience.
Keyphrases
- functional connectivity
- magnetic resonance imaging
- resting state
- social support
- high resolution
- climate change
- healthcare
- working memory
- computed tomography
- depressive symptoms
- multiple sclerosis
- magnetic resonance
- blood brain barrier
- machine learning
- mass spectrometry
- brain injury
- deep learning
- cerebral ischemia
- electronic health record
- subarachnoid hemorrhage
- angiotensin ii
- fluorescence imaging