@misc{XieJiaRollsetal.2021, author = {Xie, Chao and Jia, Tianye and Rolls, Edmund T. and Robbins, Trevor W. and Sahakian, Barbara J. and Zhang, Jie and Liu, Zhaowen and Cheng, Wei and Luo, Qiang and Zac Lo, Chun-Yi and Schumann, Gunter and Feng, Jianfeng and Wang, He and Banaschewski, Tobias and Barker, Gareth J. and Bokde, Arun L.W. and B{\"u}chel, Christian and Quinlan, Erin Burke and Desrivi{\`e}res, Sylvane and Flor, Herta and Grigis, Antoine and Garavan, Hugh and Gowland, Penny and Heinz, Andreas and Hohmann, Sarah and Ittermann, Bernd and Martinot, Jean-Luc and Paill{\`e}re Martinot, Marie-Laure and Nees, Frauke and Papadopoulos Orfanos, Dimitri and Paus, Tom{\´a}š and Poustka, Luise and Fr{\"o}hner, Juliane H. and Smolka, Michael N. and Walter, Henrik and Whelan, Robert}, title = {Reward versus nonreward sensitivity of the medial versus lateral orbitofrontal cortex relates to the severity of depressive symptoms}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {3}, issn = {1866-8364}, doi = {10.25932/publishup-55788}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-557882}, pages = {13}, year = {2021}, abstract = {BACKGROUND: The orbitofrontal cortex (OFC) is implicated in depression. The hypothesis investigated was whether the OFC sensitivity to reward and nonreward is related to the severity of depressive symptoms. METHODS: Activations in the monetary incentive delay task were measured in the IMAGEN cohort at ages 14 years (n = 1877) and 19 years (n = 1140) with a longitudinal design. Clinically relevant subgroups were compared at ages 19 (high-severity group: n = 116; low-severity group: n = 206) and 14. RESULTS: The medial OFC exhibited graded activation increases to reward, and the lateral OFC had graded activation increases to nonreward. In this general population, the medial and lateral OFC activations were associated with concurrent depressive symptoms at both ages 14 and 19 years. In a stratified high-severity depressive symptom group versus control group comparison, the lateral OFC showed greater sensitivity for the magnitudes of activations related to nonreward in the high-severity group at age 19 (p = .027), and the medial OFC showed decreased sensitivity to the reward magnitudes in the high-severity group at both ages 14 (p = .002) and 19 (p = .002). In a longitudinal design, there was greater sensitivity to nonreward of the lateral OFC at age 14 for those who exhibited high depressive symptom severity later at age 19 (p = .003). CONCLUSIONS: Activations in the lateral OFC relate to sensitivity to not winning, were associated with high depressive symptom scores, and at age 14 predicted the depressive symptoms at ages 16 and 19. Activations in the medial OFC were related to sensitivity to winning, and reduced reward sensitivity was associated with concurrent high depressive symptom scores.}, language = {en} } @misc{MellWartenburgerMarschneretal.2009, author = {Mell, Thomas and Wartenburger, Isabell and Marschner, Alexander and Villringer, Arno and Reischies, Friedel M. and Heekeren, Hauke R.}, title = {Altered function of ventral striatum during reward-based decision making in old age}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-45235}, year = {2009}, abstract = {Normal aging is associated with a decline in different cognitive domains and local structural atrophy as well as decreases in dopamine concentration and receptor density. To date, it is largely unknown how these reductions in dopaminergic neurotransmission affect human brain regions responsible for reward-based decision making in older adults. Using a learning criterion in a probabilistic object reversal task, we found a learning stage by age interaction in the dorsolateral prefrontal cortex (dIPFC) during decision making. While young adults recruited the dlPFC in an early stage of learning reward associations, older adults recruited the dlPFC when reward associations had already been learned. Furthermore, we found a reduced change in ventral striatal BOLD signal in older as compared to younger adults in response to high probability rewards. Our data are in line with behavioral evidence that older adults show altered stimulus-reward learning and support the view of an altered fronto-striatal interaction during reward-based decision making in old age, which contributes to prolonged learning of reward associations.}, language = {en} } @misc{HaegeleSchlagenhaufRappetal.2014, author = {H{\"a}gele, Claudia and Schlagenhauf, Florian and Rapp, Michael Armin and Sterzer, Philipp and Beck, Anne and Bermpohl, Felix and Stoy, Meline and Str{\"o}hle, Andreas and Wittchen, Hans-Ulrich and Dolan, Raymond J. and Heinz, Andreas}, title = {Dimensional psychiatry}, series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {653}, issn = {1866-8364}, doi = {10.25932/publishup-43106}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-431064}, pages = {331 -- 341}, year = {2014}, abstract = {A dimensional approach in psychiatry aims to identify core mechanisms of mental disorders across nosological boundaries. We compared anticipation of reward between major psychiatric disorders, and investigated whether reward anticipation is impaired in several mental disorders and whether there is a common psychopathological correlate (negative mood) of such an impairment. We used functional magnetic resonance imaging (fMRI) and a monetary incentive delay (MID) task to study the functional correlates of reward anticipation across major psychiatric disorders in 184 subjects, with the diagnoses of alcohol dependence (n = 26), schizophrenia (n = 44), major depressive disorder (MDD, n = 24), bipolar disorder (acute manic episode, n = 13), attention deficit/hyperactivity disorder (ADHD, n = 23), and healthy controls (n = 54). Subjects' individual Beck Depression Inventory-and State-Trait Anxiety Inventory-scores were correlated with clusters showing significant activation during reward anticipation. During reward anticipation, we observed significant group differences in ventral striatal (VS) activation: patients with schizophrenia, alcohol dependence, and major depression showed significantly less ventral striatal activation compared to healthy controls. Depressive symptoms correlated with dysfunction in reward anticipation regardless of diagnostic entity. There was no significant correlation between anxiety symptoms and VS functional activation. Our findings demonstrate a neurobiological dysfunction related to reward prediction that transcended disorder categories and was related to measures of depressed mood. The findings underline the potential of a dimensional approach in psychiatry and strengthen the hypothesis that neurobiological research in psychiatric disorders can be targeted at core mechanisms that are likely to be implicated in a range of clinical entities.}, language = {en} } @misc{FriedelSchlagenhaufBecketal.2014, author = {Friedel, Eva and Schlagenhauf, Florian and Beck, Anne and Dolan, Raymond J. and Huys, Quentin J. M. and Rapp, Michael Armin and Heinz, Andreas}, title = {The effects of life stress and neural learning signals on fluid intelligence}, series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {621}, issn = {1866-8372}, doi = {10.25932/publishup-43514}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-435140}, pages = {35 -- 43}, year = {2014}, abstract = {Fluid intelligence (fluid IQ), defined as the capacity for rapid problem solving and behavioral adaptation, is known to be modulated by learning and experience. Both stressful life events (SLES) and neural correlates of learning [specifically, a key mediator of adaptive learning in the brain, namely the ventral striatal representation of prediction errors (PE)] have been shown to be associated with individual differences in fluid IQ. Here, we examine the interaction between adaptive learning signals (using a well-characterized probabilistic reversal learning task in combination with fMRI) and SLES on fluid IQ measures. We find that the correlation between ventral striatal BOLD PE and fluid IQ, which we have previously reported, is quantitatively modulated by the amount of reported SLES. Thus, after experiencing adversity, basic neuronal learning signatures appear to align more closely with a general measure of flexible learning (fluid IQ), a finding complementing studies on the effects of acute stress on learning. The results suggest that an understanding of the neurobiological correlates of trait variables like fluid IQ needs to take socioemotional influences such as chronic stress into account.}, language = {en} }