TY  - JOUR
A1  - Frodl, Thomas
A1  - Janowitz, Deborah
A1  - Schmaal, Lianne
A1  - Tozzi, Leonardo
A1  - Dobrowolny, Henrik
A1  - Stein, Dan J.
A1  - Veltman, Dick J.
A1  - Wittfeld, Katharina
A1  - van Erp, Theo G. M.
A1  - Jahanshad, Neda
A1  - Block, Andrea
A1  - Hegenscheid, Katrin
A1  - Voelzke, Henry
A1  - Lagopoulos, Jim
A1  - Hatton, Sean N.
A1  - Hickie, Ian B.
A1  - Frey, Eva Maria
A1  - Carballedo, Angela
A1  - Brooks, Samantha J.
A1  - Vuletic, Daniella
A1  - Uhlmann, Anne
A1  - Veer, Ilya M.
A1  - Walter, Henrik
A1  - Schnell, Knut
A1  - Grotegerd, Dominik
A1  - Arolt, Volker
A1  - Kugel, Harald
A1  - Schramm, Elisabeth
A1  - Konrad, Carsten
A1  - Zurowski, Bartosz
A1  - Baune, Bernhard T.
A1  - van der Wee, Nic J. A.
A1  - van Tol, Marie-Jose
A1  - Penninx, Brenda W. J. H.
A1  - Thompson, Paul M.
A1  - Hibar, Derrek P.
A1  - Dannlowski, Udo
A1  - Grabe, Hans J.
T1  - Childhood adversity impacts on brain subcortical structures relevant to depression
JF  - Journal of psychiatric research
N2  - 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. (C) 2016 Published by Elsevier Ltd.
KW  - Depression
KW  - Childhood adversity
KW  - MRI
KW  - Caudate
KW  - Hippocampus
KW  - ENIGMA
Y1  - 2016
U6  - https://doi.org/10.1016/j.jpsychires.2016.11.010
SN  - 0022-3956
SN  - 1879-1379
VL  - 86
SP  - 58
EP  - 65
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Friedel, Eva
A1  - Sebold, Miriam
A1  - Kuitunen-Paul, Sören
A1  - Nebe, Stephan
A1  - Veer, Ilya M.
A1  - Zimmermann, Ulrich S.
A1  - Schlagenhauf, Florian
A1  - Smolka, Michael N.
A1  - Rapp, Michael A.
A1  - Walter, Henrik
A1  - Heinz, Andreas
T1  - How Accumulated Real Life Stress Experience and Cognitive Speed Interact on Decision-Making Processes
JF  - Frontiers in human neuroscienc
N2  - Rationale: Advances in neurocomputational modeling suggest that valuation systems for goal-directed (deliberative) on one side, and habitual (automatic) decision-making on the other side may rely on distinct computational strategies for reinforcement learning, namely model-free vs. model-based learning. As a key theoretical difference, the model-based system strongly demands cognitive functions to plan actions prospectively based on an internal cognitive model of the environment, whereas valuation in the model-free system relies on rather simple learning rules from operant conditioning to retrospectively associate actions with their outcomes and is thus cognitively less demanding. Acute stress reactivity is known to impair model-based but not model-free choice behavior, with higher working memory capacity protecting the model-based system from acute stress. However, it is not clear which impact accumulated real life stress has on model-free and model-based decision systems and how this influence interacts with cognitive abilities. Methods: We used a sequential decision-making task distinguishing relative contributions of both learning strategies to choice behavior, the Social Readjustment Rating Scale questionnaire to assess accumulated real life stress, and the Digit Symbol Substitution Test to test cognitive speed in 95 healthy subjects. Results: Individuals reporting high stress exposure who had low cognitive speed showed reduced model-based but increased model-free behavioral control. In contrast, subjects exposed to accumulated real life stress with high cognitive speed displayed increased model-based performance but reduced model-free control. Conclusion: These findings suggest that accumulated real life stress exposure can enhance reliance on cognitive speed for model-based computations, which may ultimately protect the model-based system from the detrimental influences of accumulated real life stress. The combination of accumulated real life stress exposure and slower information processing capacities, however, might favor model-free strategies. Thus, the valence and preference of either system strongly depends on stressful experiences and individual cognitive capacities.
KW  - chronic stress
KW  - model-based learning
KW  - model-free learning
KW  - decision making
KW  - cognitive speed
KW  - real-life events
Y1  - 2017
U6  - https://doi.org/10.3389/fnhum.2017.00302
SN  - 1662-5161
VL  - 11
SP  - 1
EP  - 9
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  -