Abstract:Collectively, these results lend support to the assumption that MDD does not impair reward processing per se during RL. Instead, it seems to alter the processing of the emotional value of (external) reinforcers during RL, when additional intrinsic motivational processes have to be engaged.
“…Participants performed a probabilistic learning task (Fig. 1) previously devised and validated by Eppinger et al (2008) and used in Bakic et al (2017Bakic et al ( , 2014. Colorful line drawings (Rossion & Pourtois, 2004) were used as visual stimuli, presented against a white homogenous background on a 17-inch computer screen.…”
Section: Probabilistic Learning Taskmentioning
confidence: 99%
“…To get acquainted with the task, they completed a short practice session of 20 trials with an extra set of stimuli. The whole experiment lasted approximately 2 hours (Bakic et al, 2017).…”
Section: Probabilistic Learning Taskmentioning
confidence: 99%
“…At the behavioral level, learning was expressed as percentage of correct responses varying as a function of time, using four consecutive bins of trials ( Bakic et al, 2017).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In this study, we had the unique chance to assess, using behavioral and EEG methods, brain mechanisms of RL (using FMT oscillatory perturbations), as well as motivation (using frontal Alpha asymmetry) concurrently in a large cohort of treatment-resistant MDD patients and compare them to age/ sex/education-matched healthy controls. To explore RL, we capitalized on a well-validated probabilistic learning task (Eppinger et al, 2008), previously used and validated in our laboratory (Bakic et al, 2017(Bakic et al, , 2014. In short, the added value of this task is that three reward probabilities are manipulated concurrently, and their effects on the learning rate and the phasic signals of enhanced cognitive control can be explored by using appropriate EEG methods (van de Vijver et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In healthy controls, FMT should exhibit symmetric changes between response errors and negative FB as a function of reward probability (van de Vijver et al, 2014) but might be hypoactive in MDD patients, suggesting blunted cognitive control modulation during RL. However, we predicted that these group differences should likely depend on reward probability (i.e., strength of stimulus-response association), given that MDD might interfere with RL selectively when higher efforts and enhanced motivation are required to foster learning (Bakic et al, 2017;Salamone, Correa, Nunes, Randall, & Pardo, 2012;Thomsen, 2015;Treadway et al, 2012). In particular, we expected larger group differences at the FB level when reward probability was low compared with high, because a higher motivation is presumably required in this condition for maintaining an active and sustained exploration of the FB.…”
Major depression is characterized by abnormal reward processing and reinforcement learning (RL). This impairment might stem from deficient motivation processes, in addition to reduced reward sensitivity. In this study, we recorded 64-channel EEG in a large cohort of major depressive disorder (MDD) patients and matched healthy controls (HC) while they performed a standard RL task. Participants were asked to discover, by trial and error, several hidden stimulus-response associations having different reward probabilities, as enforced using evaluative feedback. We extracted induced fronto-midline Theta (FMT) power timelocked to the response and feedback as neurophysiological index of RL. Furthermore, we assessed approach-related motivation by measuring frontal alpha asymmetry concurrently. At the behavioral level, MDD patients and HCs showed comparable RL. At the EEG level, FMT power systematically varied as a function of reward probability, with opposing effects found at the response and feedback levels. Although this global pattern was spared in MDD, at the feedback level these patients showed however a steep FMT power decrease across trials when reward probability was low. Moreover, they showed impaired approach-related motivation during task execution, as reflected by frontal Alpha asymmetry. These results suggest a dissociation between (globally spared) RL and (impaired) approach motivation in MDD.
“…Participants performed a probabilistic learning task (Fig. 1) previously devised and validated by Eppinger et al (2008) and used in Bakic et al (2017Bakic et al ( , 2014. Colorful line drawings (Rossion & Pourtois, 2004) were used as visual stimuli, presented against a white homogenous background on a 17-inch computer screen.…”
Section: Probabilistic Learning Taskmentioning
confidence: 99%
“…To get acquainted with the task, they completed a short practice session of 20 trials with an extra set of stimuli. The whole experiment lasted approximately 2 hours (Bakic et al, 2017).…”
Section: Probabilistic Learning Taskmentioning
confidence: 99%
“…At the behavioral level, learning was expressed as percentage of correct responses varying as a function of time, using four consecutive bins of trials ( Bakic et al, 2017).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In this study, we had the unique chance to assess, using behavioral and EEG methods, brain mechanisms of RL (using FMT oscillatory perturbations), as well as motivation (using frontal Alpha asymmetry) concurrently in a large cohort of treatment-resistant MDD patients and compare them to age/ sex/education-matched healthy controls. To explore RL, we capitalized on a well-validated probabilistic learning task (Eppinger et al, 2008), previously used and validated in our laboratory (Bakic et al, 2017(Bakic et al, , 2014. In short, the added value of this task is that three reward probabilities are manipulated concurrently, and their effects on the learning rate and the phasic signals of enhanced cognitive control can be explored by using appropriate EEG methods (van de Vijver et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In healthy controls, FMT should exhibit symmetric changes between response errors and negative FB as a function of reward probability (van de Vijver et al, 2014) but might be hypoactive in MDD patients, suggesting blunted cognitive control modulation during RL. However, we predicted that these group differences should likely depend on reward probability (i.e., strength of stimulus-response association), given that MDD might interfere with RL selectively when higher efforts and enhanced motivation are required to foster learning (Bakic et al, 2017;Salamone, Correa, Nunes, Randall, & Pardo, 2012;Thomsen, 2015;Treadway et al, 2012). In particular, we expected larger group differences at the FB level when reward probability was low compared with high, because a higher motivation is presumably required in this condition for maintaining an active and sustained exploration of the FB.…”
Major depression is characterized by abnormal reward processing and reinforcement learning (RL). This impairment might stem from deficient motivation processes, in addition to reduced reward sensitivity. In this study, we recorded 64-channel EEG in a large cohort of major depressive disorder (MDD) patients and matched healthy controls (HC) while they performed a standard RL task. Participants were asked to discover, by trial and error, several hidden stimulus-response associations having different reward probabilities, as enforced using evaluative feedback. We extracted induced fronto-midline Theta (FMT) power timelocked to the response and feedback as neurophysiological index of RL. Furthermore, we assessed approach-related motivation by measuring frontal alpha asymmetry concurrently. At the behavioral level, MDD patients and HCs showed comparable RL. At the EEG level, FMT power systematically varied as a function of reward probability, with opposing effects found at the response and feedback levels. Although this global pattern was spared in MDD, at the feedback level these patients showed however a steep FMT power decrease across trials when reward probability was low. Moreover, they showed impaired approach-related motivation during task execution, as reflected by frontal Alpha asymmetry. These results suggest a dissociation between (globally spared) RL and (impaired) approach motivation in MDD.
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