0000000001064333

AUTHOR

Daniel Durstewitz

showing 2 related works from this author

Aberrant probabilistic reinforcement learning in first-degree relatives of individuals with bipolar disorder

2020

Contains fulltext : 215845.pdf (Publisher’s version ) (Closed access) Background: Motivational dysregulation represents a core vulnerability factor for bipolar disorder. Whether this also comprises aberrant learning of stimulus-reinforcer contingencies is less clear. Methods: To answer this question, we compared healthy first-degree relatives of individuals with bipolar disorder (n = 42) known to convey an increased risk of developing a bipolar spectrum disorder and healthy individuals (n = 97). Further, we investigated the effects of the behavioral activation system (BAS) on reinforcement learning across the entire sample. All participants were assessed with a probabilistic learning task t…

ProbandBipolar Disordereducation03 medical and health sciences0302 clinical medicineRewardNegative feedbackmedicineReinforcement learningHumansSpectrum disorderBipolar disorder111 000 Intention & ActionFirst-degree relativesMotivationAction intention and motor controlBehavioral activationmedicine.disease030227 psychiatrySubstance abusePsychiatry and Mental healthClinical PsychologyAttention Deficit Disorder with HyperactivityPsychologyReinforcement Psychology030217 neurology & neurosurgeryClinical psychology
researchProduct

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

2017

International audience; No abstract available

0301 basic medicineCerebellumComputer science[SDV]Life Sciences [q-bio]General Neurosciencelcsh:QP351-495Meeting Abstractslcsh:RC321-57103 medical and health sciencesCellular and Molecular Neurosciencelcsh:Neurophysiology and neuropsychology030104 developmental biologymedicine.anatomical_structuremedicineNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceComputingMilieux_MISCELLANEOUScomputational neuroscienceBMC Neuroscience
researchProduct