Literature DB >> 23443964

Crosslinking EEG time-frequency decomposition and fMRI in error monitoring.

Sven Hoffmann1, Franziska Labrenz, Maria Themann, Edmund Wascher, Christian Beste.   

Abstract

Recent studies implicate a common response monitoring system, being active during erroneous and correct responses. Converging evidence from time-frequency decompositions of the response-related ERP revealed that evoked theta activity at fronto-central electrode positions differentiates correct from erroneous responses in simple tasks, but also in more complex tasks. However, up to now it is unclear how different electrophysiological parameters of error processing, especially at the level of neural oscillations are related, or predictive for BOLD signal changes reflecting error processing at a functional-neuroanatomical level. The present study aims to provide crosslinks between time domain information, time-frequency information, MRI BOLD signal and behavioral parameters in a task examining error monitoring due to mistakes in a mental rotation task. The results show that BOLD signal changes reflecting error processing on a functional-neuroanatomical level are best predicted by evoked oscillations in the theta frequency band. Although the fMRI results in this study account for an involvement of the anterior cingulate cortex, middle frontal gyrus, and the Insula in error processing, the correlation of evoked oscillations and BOLD signal was restricted to a coupling of evoked theta and anterior cingulate cortex BOLD activity. The current results indicate that although there is a distributed functional-neuroanatomical network mediating error processing, only distinct parts of this network seem to modulate electrophysiological properties of error monitoring.

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Year:  2013        PMID: 23443964     DOI: 10.1007/s00429-013-0521-y

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  12 in total

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2.  The norepinephrine system affects specific neurophysiological subprocesses in the modulation of inhibitory control by working memory demands.

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3.  How socioemotional setting modulates late-stage conflict resolution processes in the lateral prefrontal cortex.

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Journal:  Cogn Affect Behav Neurosci       Date:  2018-06       Impact factor: 3.282

4.  Disarming smiles: irrelevant happy faces slow post-error responses.

Authors:  Rashmi Gupta; Gedeon O Deák
Journal:  Cogn Process       Date:  2015-07-21

Review 5.  A perspective on neural and cognitive mechanisms of error commission.

Authors:  Sven Hoffmann; Christian Beste
Journal:  Front Behav Neurosci       Date:  2015-03-03       Impact factor: 3.558

6.  The Psychophysiology of Action: A Multidisciplinary Endeavor for Integrating Action and Cognition.

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Journal:  Front Psychol       Date:  2018-08-29

7.  Classifying Response Correctness across Different Task Sets: A Machine Learning Approach.

Authors:  Thorsten Plewan; Edmund Wascher; Michael Falkenstein; Sven Hoffmann
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

8.  Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses.

Authors:  Amirali Vahid; Moritz Mückschel; Andres Neuhaus; Ann-Kathrin Stock; Christian Beste
Journal:  Sci Rep       Date:  2018-11-02       Impact factor: 4.379

9.  On the Neurophysiological Mechanisms Underlying the Adaptability to Varying Cognitive Control Demands.

Authors:  Nicolas Zink; Ann-Kathrin Stock; Amirali Vahid; Christian Beste
Journal:  Front Hum Neurosci       Date:  2018-10-16       Impact factor: 3.169

10.  Catecholaminergic Modulation of Conflict Control Depends on the Source of Conflicts.

Authors:  Wiebke Bensmann; Veit Roessner; Ann-Kathrin Stock; Christian Beste
Journal:  Int J Neuropsychopharmacol       Date:  2018-10-01       Impact factor: 5.176

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