Childhood trauma and diagnosis of major depression: Association with memory and executive function

2018 ◽  
Vol 270 ◽  
pp. 880-886 ◽  
Author(s):  
Michael Kaczmarczyk ◽  
Katja Wingenfeld ◽  
Linn K. Kuehl ◽  
Christian Otte ◽  
Kim Hinkelmann
2017 ◽  
Vol 83 ◽  
pp. 42
Author(s):  
Michael Kaczmarczyk ◽  
Katja Wingenfeld ◽  
Linn Kuehl ◽  
Christian Otte ◽  
Kim Hinkelmann

2019 ◽  
Vol 75 (6) ◽  
pp. 1219-1229 ◽  
Author(s):  
Kelly Cotton ◽  
Joe Verghese ◽  
Helena M Blumen

Abstract Objective We examined the neural substrates of social support in older adults. Social support is associated with better outcomes in many facets of aging—including cognitive and functional health—but the underlying neural substrates remain largely unexplored. Methods Voxel-based morphometry and multivariate statistics were used to identify gray matter volume covariance networks associated with social support in 112 older adults without dementia (M age = 74.6 years, 50% female), using the Medical Outcomes Study Social Support Survey. Results A gray matter network associated with overall social support was identified and included prefrontal, hippocampal, amygdala, cingulate, and thalamic regions. A gray matter network specifically associated with tangible social support (e.g., someone to help you if you were confined to bed) was also identified, included prefrontal, hippocampal, cingulate, insular, and thalamic regions, and correlated with memory and executive function. Discussion Gray matter networks associated with overall and tangible social support in this study were composed of regions previously associated with memory, executive function, aging, and dementia. Longitudinal research of the interrelationships between social support, brain structure, and cognition is needed, but strengthening social support may represent a new path toward improving cognition in aging that should be explored.


2016 ◽  
Vol 113 (42) ◽  
pp. E6535-E6544 ◽  
Author(s):  
Xiuming Zhang ◽  
Elizabeth C. Mormino ◽  
Nanbo Sun ◽  
Reisa A. Sperling ◽  
Mert R. Sabuncu ◽  
...  

We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer’s disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expressed within each participant rather than assuming that each participant expressed a single atrophy factor. The model revealed a temporal atrophy factor (medial temporal cortex, hippocampus, and amygdala), a subcortical atrophy factor (striatum, thalamus, and cerebellum), and a cortical atrophy factor (frontal, parietal, lateral temporal, and lateral occipital cortices). To explore the influence of each factor in early AD, atrophy factor compositions were inferred in beta-amyloid–positive (Aβ+) mild cognitively impaired (MCI) and cognitively normal (CN) participants. All three factors were associated with memory decline across the entire clinical spectrum, whereas the cortical factor was associated with executive function decline in Aβ+ MCI participants and AD dementia patients. Direct comparison between factors revealed that the temporal factor showed the strongest association with memory, whereas the cortical factor showed the strongest association with executive function. The subcortical factor was associated with the slowest decline for both memory and executive function compared with temporal and cortical factors. These results suggest that distinct patterns of atrophy influence decline across different cognitive domains. Quantification of this heterogeneity may enable the computation of individual-level predictions relevant for disease monitoring and customized therapies. Factor compositions of participants and code used in this article are publicly available for future research.


2011 ◽  
Vol 35 (8) ◽  
pp. 647-654 ◽  
Author(s):  
Katja Wingenfeld ◽  
Camille Schaffrath ◽  
Nina Rullkoetter ◽  
Christoph Mensebach ◽  
Nicole Schlosser ◽  
...  

2016 ◽  
Vol 73 ◽  
pp. 24-31 ◽  
Author(s):  
Laura Grosse ◽  
Oliver Ambrée ◽  
Silke Jörgens ◽  
M. Catharine Jawahar ◽  
Gaurav Singhal ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S64-S65
Author(s):  
Covadonga Díaz-Caneja ◽  
Marcos González-Iglesias ◽  
Victoria Del Amo ◽  
Ignacio García-Cabeza ◽  
Celso Arango ◽  
...  

Abstract Background Deficits in social cognition could be involved in the pathogenesis of delusions in psychotic disorders (Bentall et al., 2009). Childhood trauma (CT) has been associated with an increased risk for psychosis (Varese et al., 2012). Neurocognitive and social cognition deficits could mediate in the association between CT and psychosis (Mansueto et al., 2019). Social cognition and childhood trauma have been understudied so far in delusional disorder (DD). We aimed to assess social cognition in a sample of patients with delusional psychoses (i.e., DD and schizophrenia) and healthy controls (HC) and to explore the potential effect of childhood trauma on social cognition and delusion. Methods This cross-sectional, transdiagnostic study included 69 patients with a DSM-IV-TR-confirmed diagnosis of DD (mean age 44.06 ± 11.39 years, 53.6% female), 77 with DSM-IV-TR-confirmed schizophrenia (mean age 38.12 ± 9.27 years, 27.3% female), and 63 HC (mean age 43.6 ± 13.0 years, 68.3% female). Attributional bias was assessed with the “Internal, Personal, and Situational Attributions Questionnaire.” Theory of Mind (ToM) performance was assessed with the “Reading the Mind in the Eyes Test” and the “Faux Pas Recognition Test.” Childhood trauma was measured with the “Childhood Trauma Questionnaire.” Neuropsychological functioning was measured with a comprehensive battery assessing attention, verbal learning, working memory, and executive function. We used ANCOVAs and linear regression analyses to assess the association between the three measures of social cognition and i) diagnosis, ii) dimensional measures of delusion proneness (Peters Delusion Inventory, PDI) and intensity (Maudsley Assessment of Delusion Schedule, MADS), and iii) childhood trauma; after controlling for potential confounders (age, sex, socioeconomic status, and estimated premorbid intelligence quotient). Results Patients with DD showed significantly poorer performance on the “Eyes Test” than HC (Cohen’s d=-0.44, p=0.037), after controlling for potential confounding variables. The difference was no longer significant after controlling for verbal memory. Patients with schizophrenia (d=-1.54, p<0.001) and DD (Cohen’s d=-0.60, p=0.002) showed significantly poorer performance than HC on the “Faux Pas Test,” after controlling for potential confounders. The difference between patients with schizophrenia and HC remained significant after controlling for neuropsychological functioning (Cohen’s d=-1.09, p<0.001), while differences between patients with DD and HC were no longer significant after controlling for executive function and working memory performance (Cohen’s d=-0.23, p=0.596). No significant differences were found between diagnostic groups in externalizing or personalizing attributional bias. In the fully adjusted models, intensity of the delusional idea was significantly associated with performance in the “Faux Pas Test” in DD, and with externalizing and personalizing attributional bias in schizophrenia. A positive history of CT was significantly associated with lower performance on the “Faux Pas Test” (Cohen’s d=-0.40, p=.022) and higher delusional proneness scores in the delusional psychosis samples (Cohen’s d=-0.49, p=.006), but not in HC. Discussion Social cognition deficits are associated with delusional intensity in delusional psychoses. Childhood trauma could increase the risk of psychosis through its effect on social cognition.


Oncotarget ◽  
2017 ◽  
Vol 8 (45) ◽  
pp. 79843-79853 ◽  
Author(s):  
Shaojia Lu ◽  
Fen Pan ◽  
Weijia Gao ◽  
Zhaoguo Wei ◽  
Dandan Wang ◽  
...  

2005 ◽  
Vol 3 (1) ◽  
pp. 131-135 ◽  
Author(s):  
Charles B. Nemeroff ◽  
Christine M. Heim ◽  
Michael E. Thase ◽  
Daniel N. Klein ◽  
A. John Rush ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. s831-s831
Author(s):  
R. Rey ◽  
T. D’amato ◽  
P.M. Llorca ◽  
G. Fond

IntroductionIn a perspective of personalized care for smoking cessation, a better clinical characterization of smokers with schizophrenia (SZ) is needed. The objective of this study was to determine the clinical characteristics of SZ smokers with severe nicotine (NIC) dependence.MethodsTwo hundred and forty stabilized community-dwelling SZ smokers (mean age = 31.9 years, 80.4% male gender) were consecutively included in the network of the FondaMental Expert Centers for schizophrenia and assessed with validated scales. Severe NIC dependence was defined by a Fagerstrom questionnaire score ≥7. Major depression was defined by a Calgary score ≥6. Childhood trauma was self-reported by the Childhood Trauma Questionnaire score (CTQ). Ongoing psychotropic treatment was recorded.ResultsSevere NIC dependence was identified in 83 subjects (34.6%), major depression in 60 (26.3%). 44 (22.3%) subjects were treated by antidepressants. In a multivariate model, severe NIC dependence remained associated with major depression (OR = 3.155, P = 0.006), male gender (OR = 4.479, P = 0.009) and more slightly with childhood trauma (OR = 1.032, P = 0.044), independently of socio-demographic characteristics, psychotic symptoms severity, psychotropic treatments and alcohol disorder.ConclusionNIC dependence was independently and strongly associated with respectively major depression and male gender in schizophrenia, and only slightly with history of childhood trauma. Based on these results, the care of both nicotine dependence and depression should be evaluated for an effective smoking cessation intervention in schizophrenia. Bupropion, an antidepressant that has been found as the potential most effective strategy for tobacco cessation in schizophrenia to date, may be particularly relevant in male SZ smokers with comorbid major depression.Disclosure of interestThe authors have not supplied their declaration of competing interest.


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