TY  - CHAP
A1  - Haegele, Claudia
A1  - Friedel, Eva
A1  - Schlagenhauf, Florian
A1  - Sterzer, Philipp
A1  - Beck, Anne
A1  - Bermpohl, Felix
A1  - Rapp, Michael Armin
A1  - Stoy, Meline
A1  - Stroehle, Andreas
A1  - Dolan, Raymond J.
A1  - Heinz, Andreas
T1  - Reward expectation and affective responses across psychiatric disorders - A dimensional approach
T2  - Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry
KW  - dimensional
KW  - transdiagnostic
KW  - reward system
KW  - ventral striatum
KW  - fMRI
Y1  - 2014
SN  - 0006-3223
SN  - 1873-2402
VL  - 75
IS  - 9
SP  - 91S
EP  - 92S
PB  - Elsevier
CY  - New York
ER  - 
TY  - GEN
A1  - Friedel, Eva
A1  - Schlagenhauf, Florian
A1  - Beck, Anne
A1  - Dolan, Raymond J.
A1  - Huys, Quentin J. M.
A1  - Rapp, Michael Armin
A1  - Heinz, Andreas
T1  - The effects of life stress and neural learning signals on fluid intelligence
T2  - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe
N2  - 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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 621 
KW  - reinforcement learning
KW  - prediction error signal
KW  - ventral striatum
KW  - stress
KW  - intelligence
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-435140
SN  - 1866-8372
IS  - 621
SP  - 35
EP  - 43
ER  - 
TY  - JOUR
A1  - Friedel, Eva
A1  - Schlagenhauf, Florian
A1  - Beck, Anne
A1  - Dolan, Raymond J.
A1  - Huys, Quentin J. M.
A1  - Rapp, Michael Armin
A1  - Heinz, Andreas
T1  - The effects of life stress and neural learning signals on fluid intelligence
JF  - European archives of psychiatry and clinical neuroscience : official organ of the German Society for Biological Psychiatry
N2  - 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.
KW  - Reinforcement learning
KW  - Prediction error signal
KW  - Ventral striatum
KW  - Stress
KW  - Intelligence
Y1  - 2015
U6  - https://doi.org/10.1007/s00406-014-0519-3
SN  - 0940-1334
SN  - 1433-8491
VL  - 265
IS  - 1
SP  - 35
EP  - 43
PB  - Springer
CY  - Heidelberg
ER  -