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1.
Psychol Med ; 50(6): 1020-1031, 2020 04.
Article in English | MEDLINE | ID: mdl-31084657

ABSTRACT

BACKGROUND: Childhood maltreatment (CM) plays an important role in the development of major depressive disorder (MDD). The aim of this study was to examine whether CM severity and type are associated with MDD-related brain alterations, and how they interact with sex and age. METHODS: Within the ENIGMA-MDD network, severity and subtypes of CM using the Childhood Trauma Questionnaire were assessed and structural magnetic resonance imaging data from patients with MDD and healthy controls were analyzed in a mega-analysis comprising a total of 3872 participants aged between 13 and 89 years. Cortical thickness and surface area were extracted at each site using FreeSurfer. RESULTS: CM severity was associated with reduced cortical thickness in the banks of the superior temporal sulcus and supramarginal gyrus as well as with reduced surface area of the middle temporal lobe. Participants reporting both childhood neglect and abuse had a lower cortical thickness in the inferior parietal lobe, middle temporal lobe, and precuneus compared to participants not exposed to CM. In males only, regardless of diagnosis, CM severity was associated with higher cortical thickness of the rostral anterior cingulate cortex. Finally, a significant interaction between CM and age in predicting thickness was seen across several prefrontal, temporal, and temporo-parietal regions. CONCLUSIONS: Severity and type of CM may impact cortical thickness and surface area. Importantly, CM may influence age-dependent brain maturation, particularly in regions related to the default mode network, perception, and theory of mind.


Subject(s)
Brain Cortical Thickness , Cerebral Cortex/pathology , Child Abuse , Depressive Disorder, Major/pathology , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Case-Control Studies , Child , Cohort Studies , Female , Gyrus Cinguli/pathology , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Parietal Lobe/pathology , Prefrontal Cortex/pathology , Temporal Lobe/pathology , Young Adult
2.
Neuroimage Clin ; 20: 1157-1162, 2018.
Article in English | MEDLINE | ID: mdl-30380522

ABSTRACT

OBJECTIVE: Methamphetamine dependence can lead to psychotic symptoms which may be mediated by frontal, striatal, limbic, and thalamic regions. There are few neuroimaging data that allow comparison of individuals with methamphetamine dependence who do, and do not, have psychosis. Two complementary imaging techniques were employed to investigate neurocircuitry associated with methamphetamine dependence with and without psychotic symptoms. METHODS: Three groups of participants were recruited: methamphetamine dependent (MAA) (N = 11), methamphetamine dependent with psychotic symptoms (MAP) (N = 14), and controls (N = 14). Resting brain glucose metabolism was measured using [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET) and cerebral perfusion was assessed using arterial spin labelling (ASL) magnetic resonance imaging. RESULTS: Methamphetamine abusers (MAA and MAP groups) had decreased glucose metabolism compared to healthy controls in the left insula, left precentral gyrus, and the anterior cingulate cortex. Compared to MAA participants, MAP participants had 1) decreased glucose metabolism in the left precentral gyrus and the left inferior frontal gyrus and 2) increased glucose metabolism in the putamen and pallidum. MAP participants also had increased cerebral perfusion in the right putamen and right pallidum compared to MAA. CONCLUSION: Findings support the involvement of frontal, striatal, and limbic regions in methamphetamine dependence. Furthermore, they indicate that glucose metabolism and cerebral perfusion in these regions are disrupted in methamphetamine dependent individuals with psychotic symptoms.


Subject(s)
Amphetamine-Related Disorders/pathology , Brain/pathology , Methamphetamine/pharmacology , Neuroimaging , Adult , Amphetamine-Related Disorders/physiopathology , Brain/physiopathology , Brain Mapping , Female , Humans , Magnetic Resonance Imaging/methods , Male , Neuroimaging/methods , Young Adult
3.
J Psychiatr Res ; 86: 58-65, 2017 03.
Article in English | MEDLINE | ID: mdl-27918926

ABSTRACT

Childhood adversity plays an important role for development of major depressive disorder (MDD). There are differences in subcortical brain structures between patients with MDD and healthy controls, but the specific impact of childhood adversity on such structures in MDD remains unclear. Thus, aim of the present study was to investigate whether childhood adversity is associated with subcortical volumes and how it interacts with a diagnosis of MDD and sex. Within the ENIGMA-MDD network, nine university partner sites, which assessed childhood adversity and magnetic resonance imaging in patients with MDD and controls, took part in the current joint mega-analysis. In this largest effort world-wide to identify subcortical brain structure differences related to childhood adversity, 3036 participants were analyzed for subcortical brain volumes using FreeSurfer. A significant interaction was evident between childhood adversity, MDD diagnosis, sex, and region. Increased exposure to childhood adversity was associated with smaller caudate volumes in females independent of MDD. All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis). There was no interaction effect between childhood adversity and MDD diagnosis on subcortical brain volumes. Childhood adversity is one of the contributors to brain structural abnormalities. It is associated with subcortical brain abnormalities that are relevant to psychiatric disorders such as depression.


Subject(s)
Adult Survivors of Child Adverse Events , Brain/diagnostic imaging , Depressive Disorder, Major/diagnostic imaging , Adult , Adult Survivors of Child Adverse Events/psychology , Antidepressive Agents/therapeutic use , Brain/drug effects , Depressive Disorder, Major/drug therapy , Female , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Middle Aged , Organ Size , Psychiatric Status Rating Scales , Sex Characteristics , Software , Surveys and Questionnaires
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