A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

Becker, Michael P.I.; Nitsch, Alexander; Miltner, Wolfgang H. R.; Straube, Thomas

doi:10.1523/jneurosci.3684-13.2014

Cited by 230 publications

(170 citation statements)

References 45 publications

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“…Extracting patterns of source activations associated with successful cross‐condition generalization revealed sources in the dACC (BA 32) and the PCC (BA 23,31), known to be involved in outcome processing (Agam et al, 2011; Becker, Nitsch, Miltner, & Straube, 2014; Keil et al, 2010; Miltner et al, 2003). In contrast to these studies, however, we specifically estimated sources that contributed to the transfer across the conditions (Figure 4).…”

Section: Discussionmentioning

confidence: 99%

Evidence for a general performance‐monitoring system in the human brain

Zubarev

Parkkonen

2018

Human Brain Mapping

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Adaptive behavior relies on the ability of the brain to form predictions and monitor action outcomes. In the human brain, the same system is thought to monitor action outcomes regardless of whether the information originates from internal (e.g., proprioceptive) and external (e.g., visual) sensory channels. Neural signatures of processing motor errors and action outcomes communicated by external feedback have been studied extensively; however, the existence of such a general action‐monitoring system has not been tested directly. Here, we use concurrent EEG‐MEG measurements and a probabilistic learning task to demonstrate that event‐related responses measured by electroencephalography and magnetoencephalography display spatiotemporal patterns that allow an effective transfer of a multivariate statistical model discriminating the outcomes across the following conditions: (a) erroneous versus correct motor output, (b) negative versus positive feedback, (c) high‐ versus low‐surprise negative feedback, and (d) erroneous versus correct brain–computer‐interface output. We further show that these patterns originate from highly‐overlapping neural sources in the medial frontal and the medial parietal cortices. We conclude that information about action outcomes arriving from internal or external sensory channels converges to the same neural system in the human brain, that matches this information to the internal predictions.

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Section: Discussionmentioning

confidence: 99%

Evidence for a general performance‐monitoring system in the human brain

Zubarev

Parkkonen

2018

Human Brain Mapping

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“…In particular, the FRN is thought to be influenced by phasic changes in striatal dopamine (Becker et al, 2014;Walsh and Anderson, 2012). Consistent with this, administration of dopamine agonists has been found to increase the FRN specifically for correct positive feedback trials (Santesso et al, 2009).…”

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confidence: 86%

“…Hence, the FRN is often measured as the difference between negative vs positive feedback (eg, Nieuwenhuis et al, 2005). The FRN has consistently been linked to activation in the striatum (eg, Carlson et al, 2011;Becker et al, 2014; although other regions are also involved in its generation; eg, Baker and Holroyd, 2011).…”

mentioning

confidence: 99%

Associations between Electrophysiological Evidence of Reward and Punishment-Based Learning and Psychotic Experiences and Social Anhedonia in At-Risk Groups

Karcher

Bartholow

Martin

et al. 2016

Neuropsychopharmacol

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Both positive psychotic symptoms and anhedonia are associated with striatal functioning, but few studies have linked risk for psychotic disorders to a neural measure evoked during a striatal dopamine-related reward and punishment-based learning task, such as a reversal learning task (RLT; Cools et al, 2009). The feedback-related negativity (FRN) is a neural response that in part reflects striatal dopamine functioning. We recorded EEG during the RLT in three groups: (a) people with psychotic experiences (PE; n = 20) at increased risk for psychotic disorders; (b) people with extremely elevated social anhedonia (SocAnh; n = 22); and (c) controls (n = 20). Behaviorally, consistent with increased striatal dopamine, the PE group exhibited better behavioral learning (ie, faster responses) after unexpected reward than after unexpected punishment. Moreover, although the control and SocAnh groups showed a larger FRN to punishment than reward, the PE group showed similar FRNs to punishment and reward, with a numerically larger FRN to reward than punishment (with similar results on these trials also found for a P3a component). These results are among the first to link a neural response evoked by a reward and punishment-based learning task specifically with elevated psychosis risk.

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“…We simultaneously recorded the EEG with a BrainAmp ® MRcompatible amplifier (Brain Products, Gilching, Germany) during rsfMRI imaging, following previously reported procedures [37][38][39][40]. We used a 32-channel EEG cap (EasyCap BrainCap-MR 3-0 32 Ch) with 30 sintered Ag/AgCl ring electrodes that were placed in accordance with the international 10-10 system.…”

Section: Registration and Analysis Of Eeg Datamentioning

confidence: 99%

Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

et al. 2018

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Background: Aberrant functional connectivity (FC) is increasingly implicated in the clinical phenomenology of schizophrenia. This study focused on the FC of the cortico-striatal network, which is thought to be disrupted in schizophrenia and to contribute to its clinical manifestations. Methods: We used simultaneous resting-state functional magnetic resonance imaging (rsfMRI) and electroencephalography (EEG) recordings to investigate FC in patients with schizophrenia. The study included 20 patients with schizophrenia and 20 healthy controls (HCs). Simultaneously recorded rsfMRI and EEG data were collected with an MR-compatible amplifier, and rsfMRI data were analyzed with the CONN toolbox to calculate FC. The study focused on the caudate, which was defined as the seed. We also performed between-group comparisons of standardized low-resolution electromagnetic tomography intracortical lagged coherence for each EEG frequency band. Results: Compared to HCs, patients with schizophrenia showed enhanced FC between the caudate nucleus and the posterior cingulate cortex, temporal, and occipital regions on rsfMRI. It is thus possible that HCs have negative FC between these regions, whereas patients with schizophrenia have non-negative FC. The EEG results showed no significant differences in oscillations or in FC between the groups in any frequency band in any region. Conclusions: Increased FC in the caudate may represent aberrant between-network FC resulting from the disruption of segregation between networks.

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A Single-Trial Estimation of the Feedback-Related Negativity and Its Relation to BOLD Responses in a Time-Estimation Task

Cited by 230 publications

References 45 publications

Evidence for a general performance‐monitoring system in the human brain

Evidence for a general performance‐monitoring system in the human brain

Associations between Electrophysiological Evidence of Reward and Punishment-Based Learning and Psychotic Experiences and Social Anhedonia in At-Risk Groups

Functional Connectivity of the Caudate in Schizophrenia Evaluated with Simultaneous Resting-State Functional MRI and Electroencephalography Recordings

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