Oscillatory responses to reward processing in borderline personality disorder

Andreou, Christina; Kleinert, Julia; Steinmann, Saskia; Fuger, Ulrike; Leicht, Gregor; Mulert, Christoph

doi:10.3109/15622975.2015.1054880

Cited by 23 publications

(30 citation statements)

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“… 9 Beta- and theta-band oscillations respond to different features of the feedback stimulus: For example, the theta-band response has been reported to be mainly driven by feedback valence, 8 , 9 whereas high-beta oscillations are affected by additional aspects of reward-related stimuli such as their probability and magnitude. 6 , 8 , 10 Moreover, previous studies by our group and others indicate that the two types of oscillatory response are differentially associated with trait impulsivity: Both in healthy subjects 11 , 12 , 13 and in patients with borderline personality disorder and alcohol dependence, 14 , 15 impulsivity is associated with dampened theta-band oscillatory responses to negative feedback, an effect that involves the dorsal anterior cingulate cortex (dACC) and possibly also lateral prefrontal areas; 14 in contrast, beta oscillatory responses to reward are not correlated with trait impulsivity. 13 , 14 …”

Section: Introductionmentioning

confidence: 90%

“…Theta-band oscillations and the closely associated feedback-related negativity in response to negative feedback have often been reported to originate in the anterior cingulate cortex (ACC), 16 , 18 but other generators such as the posterior cingulate cortex 19 or basal ganglia 20 , 21 have also been proposed. High-beta responses to reward, on the other hand, have been localized in dorsolateral prefrontal areas 14 , 22 but, in one case, also in the ACC. 14 …”

Section: Introductionmentioning

confidence: 99%

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Theta and high-beta networks for feedback processing: a simultaneous EEG–fMRI study in healthy male subjects

et al. 2017

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The reward system is important in assessing outcomes to guide behavior. To achieve these purposes, its core components interact with several brain areas involved in cognitive and emotional processing. A key mechanism suggested to subserve these interactions is oscillatory activity, with a prominent role of theta and high-beta oscillations. The present study used single-trial coupling of simultaneously recorded electroencephalography and functional magnetic resonance imaging data to investigate networks associated with oscillatory responses to feedback during a two-choice gambling task in healthy male participants (n=19). Differential associations of theta and high-beta oscillations with non-overlapping brain networks were observed: Increase of high-beta power in response to positive feedback was associated with activations in a largely subcortical network encompassing core areas of the reward network. In contrast, theta-band power increase upon loss was associated with activations in a frontoparietal network that included the anterior cingulate cortex. Trait impulsivity correlated significantly with activations in areas of the theta-associated network. Our results suggest that positive and negative feedback is processed by separate brain networks associated with different cognitive functions. Communication within these networks is mediated by oscillations of different frequency, possibly reflecting different modes of dopaminergic signaling.

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Theta and high-beta networks for feedback processing: a simultaneous EEG–fMRI study in healthy male subjects

et al. 2017

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“…Linear mixed models have several advantages over traditional repeated-measures designs, as they can accommodate departures from the assumptions of homogeneity of regression slopes and independence, and thus are better suited to model interindividual variability 38 , 39 . This model has also been successfully implemented by researchers to analyse EEG data 40 – 42 . In this study, the model included Group (3 levels: HC, AVH, non-AVH), Time (10 levels: from 0 to 900 ms in 100 ms steps), Condition (2 levels: LE and RE reports), and ROIs (2 levels: BA41, BA42) as the fixed-effects factors, Subject as a random-effects factor, and Gamma Synchrony as the dependent variable.…”

Section: Methodsmentioning

confidence: 99%

Auditory verbal hallucinations related to altered long-range synchrony of gamma-band oscillations

Steinmann

Leicht

Andreou

et al. 2017

Sci Rep

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Our understanding of the neural correlates of auditory-verbal-hallucinations (AVH) has substantially increased during the last few years, but is far from sufficient. One current hypothesis, the interhemispheric miscommunication theory, is based on findings from fMRI, DTI and EEG, but there is only limited evidence so far concerning underlying functional coupling mechanisms. Here we report a 64-channel EEG study using lagged phase synchronization analysis and eLORETA source estimation to examine the functional connectivity between bilateral auditory cortices in the gamma-band in 26 schizophrenia patients (13 with and 13 without AVH) and 26 matched healthy controls (HC) while performing a dichotic listening task. We found a significantly reduced right-ear-advantage (REA) in AVH but not in non-AVH patients compared to HC. The major finding was significantly stronger gamma-band connectivity between bilateral auditory cortices during conscious perception of left (versus right) ear syllables in patients with AVH compared to HC and patients without AVH. A significant positive correlation was found between this connectivity alteration and the AVH symptom score in schizophrenia patients. These findings provide further support for the interhemispheric miscommunication hypothesis of AVH pathophysiology by indicating that aberrant gamma-band coupling between auditory cortices is related to the emergence of AVH in schizophrenia.

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“…Linear mixed models (LMM) have several advantages over traditional repeated-measures designs, as they can accommodate departures from the assumptions of homogeneity of regression slopes and independence, and thus, are better suited to model interindividual variability [42]. This model has also been successfully implemented by researchers to analyze EEG data [43,44]. In this study, the model included Substance (2 levels: placebo, ketamine), Condition (2 levels: LE and RE reports), ROI (2 levels: BA41, BA42) and Time(10 levels: from 0 to 900 ms in 100 ms steps) as the fixed-effects factors, subject as a randomeffects factor, and Gamma Connectivity as the dependent variable.…”

Section: Statisticsmentioning

confidence: 99%

Alterations in interhemispheric gamma-band connectivity are related to the emergence of auditory verbal hallucinations in healthy subjects during NMDA-receptor blockade

Thiebes

Steinmann

Ćurić

et al. 2018

Neuropsychopharmacol

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Auditory verbal hallucinations (AVH) are a common positive symptom of schizophrenia. Excitatory-to-inhibitory (E/I) imbalance related to disturbed N-methyl-D-aspartate receptor (NMDAR) functioning has been suggested as a possible mechanism underlying altered connectivity and AVH in schizophrenia. The current study examined the effects of ketamine, a NMDAR antagonist, on glutamate-related mechanisms underlying interhemispheric gamma-band connectivity, conscious auditory perception during dichotic listening (DL), and the emergence of auditory verbal distortions and hallucinations (AVD/AVH) in healthy volunteers. In a single-blind, pseudo-randomized, placebo-controlled crossover design, nineteen male, right-handed volunteers were measured using 64 channel electroencephalography (EEG). Psychopathology was assessed with the PANSS interview and the 5D-ASC questionnaire, including a subscale to detect auditory alterations with regard to AVD/AVH (AUA-AVD/AVH). Interhemispheric connectivity analysis was performed using eLORETA source estimation and lagged phase synchronization (LPS) in the gamma-band range (30-100 Hz). Ketamine induced positive symptoms such as hallucinations in a subgroup of healthy subjects. In addition, interhemispheric gamma-band connectivity was found to be altered under ketamine compared to placebo, and subjects with AUA-AVD/AVH under ketamine showed significantly higher interhemispheric gamma-band connectivity than subjects without AUA-AVD/AVH. These findings demonstrate a relationship between NMDAR functioning, interhemispheric connectivity in the gamma-band frequency range between bilateral auditory cortices and the emergence of AVD/AVH in healthy subjects. The result is in accordance with the interhemispheric miscommunication hypothesis of AVH and argues for a possible role of glutamate in AVH in schizophrenia.

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Oscillatory responses to reward processing in borderline personality disorder

Abstract: The results indicate multiple dysfunctions of feedback processing in patients with BPD, implicating several distinct subsets of reward-processing mechanisms.

Cited by 23 publications

References 75 publications

Theta and high-beta networks for feedback processing: a simultaneous EEG–fMRI study in healthy male subjects

Theta and high-beta networks for feedback processing: a simultaneous EEG–fMRI study in healthy male subjects

Auditory verbal hallucinations related to altered long-range synchrony of gamma-band oscillations

Alterations in interhemispheric gamma-band connectivity are related to the emergence of auditory verbal hallucinations in healthy subjects during NMDA-receptor blockade

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