The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.
Frontal midline theta reflects anxiety and cognitive control: Meta-analytic evidence
Open accessAbstract
Evidence from imaging and anatomical studies suggests that the midcingulate cortex (MCC) is a dynamic hub lying at the interface of affect and cognition. In particular, this neural system appears to integrate information about conflict and punishment in order to optimize behavior in the face of action-outcome uncertainty. In a series of meta-analyses, we show how recent human electrophysiological research provides compelling evidence that frontal-midline theta signals reflecting MCC activity are moderated by anxiety and predict adaptive behavioral adjustments. These findings underscore the importance of frontal theta activity to a broad spectrum of control operations. We argue that frontal-midline theta provides a neurophysiologically plausible mechanism for optimally adjusting behavior to uncertainty, a hallmark of situations that elicit anxiety and demand cognitive control. These observations compel a new perspective on the mechanisms guiding motivated learning and behavior and provide a framework for understanding the role of the MCC in temperament and psychopathology.
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Frontal theta as a mechanism for cognitive control
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Self-citationBeyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing
Glazer, J. E., Kelley, N. J., Pornpattananangkul, N., Mittal, V. A., & Nusslock, R. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.02.002 · Cited by 361
Metadata
- Authors
- Cavanagh, J. F., & Shackman, A. J.
- Venue
- Journal of Physiology-Paris
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 109
- Issue
- 1-3
- Pages
- 3-15
- ISSN
- 0928-4257 (ISSN-L)
- OpenAlex
- W1994549966
- Cited by
- 623
- References
- 150
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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