Poster No:
495
Submission Type:
Abstract Submission
Authors:
Cagdas Türkmen1, Haoye Tan1, Sarah Gerhardt1, Emilie Bougelet1, Maria Bernardo1, Noah Machunze1, Yasmin Grauduszus2, Maurizio Sicorello3, Traute Demirakca2, Falk Kiefer1, Sabine Vollstädt-Klein1
Institutions:
1Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health, Mannheim, Germany, 2Department of Neuroimaging, Central Institute of Mental Health, Mannheim, Germany, 3Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
First Author:
Cagdas Türkmen
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Co-Author(s):
Haoye Tan
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Sarah Gerhardt
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Emilie Bougelet
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Maria Bernardo
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Noah Machunze
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Yasmin Grauduszus
Department of Neuroimaging, Central Institute of Mental Health
Mannheim, Germany
Maurizio Sicorello
Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health
Mannheim, Germany
Traute Demirakca
Department of Neuroimaging, Central Institute of Mental Health
Mannheim, Germany
Falk Kiefer
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Sabine Vollstädt-Klein
Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health
Mannheim, Germany
Introduction:
Previous studies have established a connection between childhood maltreatment (CM) and alcohol use disorder (AUD), both of which are associated with alterations in gray matter volume (GMV) and cortical thickness (CT). Yet, limited research has assessed the neurobiological impact of CM specifically within the context of AUD, as well as the role of maltreatment type (i.e. abuse or neglect) and timing. Thus, this study aimed to test the following hypotheses:
1) Adults with AUD, compared to healthy controls, exhibit reduced GMV and CT in specific regions.
2) Within the AUD group, CM is associated with a decrease in GMV and CT in the altered regions from hypothesis 1.
3) Specific types and timings of CM are associated with a decrease in GMV and CT in the altered regions from hypothesis 1 (explorative).
Methods:
Structural MRI data were collected with a 3 Tesla whole-body tomograph from 35 adults with AUD (age[mean]: 40; 31% female) and 28 healthy controls (age[mean]: 36; 61% female) with varying degrees of CM. Images were obtained using a transaxial T1-weighed image acquisition (voxel size 1x1x1 mm3, FoV 232 x 256 mm2, TR = 2000ms, TE = 3.03 ms, TI 900 ms, flip angle = 9°). Voxel-wise and regional GMV and CT were estimated using voxel- and surface-based morphometry in the SPM12 and CAT12 software. CT was estimated based on the projection-based thickness method. Preprocessing was performed using CAT12 to assess image quality. In addition to whole-brain voxel-wise analyses, we defined bilateral amygdala and hippocampus as regions of interest (ROIs) based on existing findings. CM was assessed using the Childhood Trauma Questionnaire (CTQ), and the brief German version of the Maltreatment and Abuse Chronology interview, which additionally examined timing. Alcohol dependence severity was assessed using the Alcohol Dependence Scale (ADS), the scores of which were used to assess a potential interaction with CM on GMV or CT. A two-sample t-test was used to assess hypothesis 1 (voxel-wise-p < 0.001 with cluster corrections by SPM random field theory, corresponding to pFWE < 0.05). Hypothesis 2 was examined using partial correlation, controlling for age, gender, and transcranial volume (only for GMV). For hypothesis 3, we used random forest regression to identify important ages for maltreatment type, and performed follow-up correlation analyses. The significance levels of analyses were p < 0.05.
Results:
Relative to the healthy controls, the AUD group had significantly reduced CT in a cluster encompassing the left inferior frontal gyrus, left circular sulcus of the insula, and subcentral gyrus and sulci (C1), and in a cluster comprising the central sulcus and precentral gyrus (C2). No group differences in GMV were found. A higher severity of CM, as indicated by higher CTQ sum scores, was significantly associated with a CT decrease in cluster C1. There was no interaction between CTQ sum scores and ADS scores on CT in cluster C1. No significant associations between CTQ sum scores and ROI volumes (amygdala and hippocampus) or CT in C2 were found. Type and timing analyses revealed a significant association between higher abuse at ages 13 to 15 and reduced CT in cluster C1.
Conclusions:
Abuse during early adolescence is associated with reduced CT in regions involved in response inhibition in adults with AUD, indicating the potential relevance of cognitive pathways in the risk association between CM and AUD. Prevention and intervention strategies for CM-exposed individuals with AUD should incorporate cognitive functioning as a treatment target. Longitudinal designs with larger sample sizes are needed to confirm and expand upon current findings.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Anatomy and Functional Systems
Novel Imaging Acquisition Methods:
Anatomical MRI 2
Keywords:
Addictions
Machine Learning
STRUCTURAL MRI
Trauma
Other - Grey matter
1|2Indicates the priority used for review
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