2013
DOI: 10.1002/mds.25427
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Pathological gambling in Parkinson's disease: Subthalamic oscillations during economics decisions

Abstract: Pathological gambling develops in up to 8% of patients with Parkinson's disease. Although the pathophysiology of gambling remains unclear, several findings argue for a dysfunction in the basal ganglia circuits. To clarify the role of the subthalamic nucleus in pathological gambling, we studied its activity during economics decisions. We analyzed local field potentials recorded from deep brain stimulation electrodes in the subthalamic nucleus while parkinsonian patients with (n = 8) and without (n = 9) patholog… Show more

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Cited by 54 publications
(48 citation statements)
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“…5 Our previous findings on the preparation of economics decision in parkinsonian patients with PG showed a subthalamic dysfunction that makes their decisional threshold highly sensitive to risky options. 3 In this study, we extend these results, suggesting that STN activity is also affected by reward and that PG could be related to a reward circuit disorder.…”
Section: Discussionsupporting
confidence: 77%
See 1 more Smart Citation
“…5 Our previous findings on the preparation of economics decision in parkinsonian patients with PG showed a subthalamic dysfunction that makes their decisional threshold highly sensitive to risky options. 3 In this study, we extend these results, suggesting that STN activity is also affected by reward and that PG could be related to a reward circuit disorder.…”
Section: Discussionsupporting
confidence: 77%
“…Then, to obtain the mean frequency band power in conflictual and non-conflictual task conditions during the two task phases (black screen, feedback) for each type of feedback (risky positive, risky negative, non-risky positive, non-risky negative), we applied the Hilbert transform. 3 For behavioural analyses, the economics strategy each patient used during task performance was evaluated by calculating the sum of risky choices in conflictual trials. Differences between economics strategies in patients with and without PG were tested in a one-way analysis of variance (ANOVA) using PG ( presence, absence) as between factor.…”
Section: Methodsmentioning
confidence: 99%
“…Both sites demonstrate conflict-related increases in theta-band activity (Cavanagh et al 2011, 2012; Cohen and Cavanagh 2011; Fumagalli et al 2011; Brittain et al 2012; Zavala et al 2013, 2014; Cohen and van Gaal 2014), altered theta-band activity has been associated with impulse control disorders (Cavanagh et al 2011; Rodriguez-Oroz et al 2011; Rosa et al 2013), and mPFC theta oscillations drive those of the STN during conflict (Zavala et al 2014). Furthermore, previous studies suggest that STN DBS both alters activity in the mPFC (Ballanger et al 2009) and reverses the relation between mPFC theta oscillations and conflict-induced slowing (Cavanagh et al 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Deficits in aversive-driven learning related to the inability of striatal DA to encode negative-prediction errors may also explain why depression and gambling is much more prevalent in PD (Rosa et al, 2013). …”
Section: Emerging Theories In Bg Mechanismmentioning
confidence: 99%