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Neural correlates of emotion–cognition interactions: A review of evidence from brain imaging investigations
Open accessAbstract
Complex dynamic behaviour involves reciprocal influences between emotion and cognition. On the one hand, emotion is a "double-edged sword" that may affect various aspects of our cognition and behaviour, by enhancing or hindering them and exerting both transient and long-term influences. On the other hand, emotion processing is also susceptible to cognitive influences, typically exerted in the form of emotion regulation. Noteworthy, both of these reciprocal influences are subjective to individual differences that may affect the way we perceive, experience, and eventually remember emotional experiences, or respond to emotionally challenging situations. Understanding these relationships is critical, as unbalanced emotion-cognition interactions may lead to devastating effects, such as those observed in mood and anxiety disorders. The present review analyses the reciprocal relationships between emotion and cognition, based on evidence derived from brain imaging investigations focusing on three main topics: (1) the impact of emotion on cognition, (2) the impact of cognition on emotion, and (3) the role of individual differences in emotion-cognition interactions. This evidence will be discussed in the context of identifying aspects that are fundamental to understanding the mechanisms underlying emotion-cognition interactions in healthy functioning, and to understanding changes associated with affective disorders.
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“Neurostimulation of the DLPFC, which is considered an important node in the dorsal executive system implicated in cognitive control during emotion regulation and has been associated with neurocognitive functions such as attention and executive function, has the potential to improve neurocognitive function (Dolcos et al., 2011;Mayberg, 1997).”
From Neurocognitive effects of theta burst stimulation for treatment-resistant depression in adults: A systematic review and recommendations for future research (2025) · cites this paper as Dolcos et al., 2011
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“However, these top-down modulatory regions have shown opposite activations during specific attentional tasks (Simpson et al., 2000; Dolcos and McCarthy, 2006; Dolcos et al., 2011)—suggesting mutual active suppression.”
From Top-Down Dysregulation—From ADHD to Emotional Instability (2016) · cites this paper as Dolcos et al., 2011
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Cites
Gross, J. J., & John, O. P. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.348 · Cited by 11,929 · cited 3×
“Spontaneous emotion regulation is typically assessed by evaluating the use of regulation strategies such as reappraisal and suppression, as indexed by the Emotion Regulation Questionnaire (ERQ; Gross & John, 2003).”
BackgroundMethod(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Insensitivity to future consequences following damage to human prefrontal cortex
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994) · Cognition · doi:10.1016/0010-0277(94)90018-3 · Cited by 6,128
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Taking time seriously: A theory of socioemotional selectivity.
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999) · American Psychologist · doi:10.1037//0003-066x.54.3.165 · Cited by 5,377 · cited 2×
“This unexpected phenomenon, characterised by improved subjective emotional experience in older age, is called the ‘‘paradox’’ of ageing (Carstensen et al., 1999; Mather et al., 2004) and understanding it in the context of elucidating the role of individual differences in emotion cognition interactions warrants further…”
BackgroundAnxiety and cognitive performance: Attentional control theory
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007) · Emotion · doi:10.1037/1528-3542.7.2.336 · Cited by 5,289
Tulving, E. (1985) · Canadian Psychology / Psychologie canadienne · doi:10.1037/h0080017 · Cited by 4,638
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495
Memory - A century of consolidation
McGaugh, J. L. (2000) · Science · doi:10.1126/science.287.5451.248 · Cited by 4,250
Research works printed but not linked: 12
- 10.1037/0278-7393.18.2.379 · DOI · Paper page
- 10.1037/0003-066X.54.3.165 · DOI · Paper page
- Dolcos F., 2008, Cell Science Reviews, 5, 78
- Dolcos F., 2003, Brain and Cognition, 51, 221
- Eugene F., 2003, Pt., 1, 354
- Gross J. J., 2008, Handbook of emotions, 497
- 10.1037/0882-7974.12.4.590 · DOI
- 10.1186/1471-2202-1189-1156 · DOI
- 10.1037/0022-3514.77.5.1073 · DOI
- Selye H., 1985, Basal Facts, 7, 3
- Stein M. B., 2007, American Journal of Psychiatry, 164, 318, 10.1176/appi.ajp.164.2.318 · DOI
- Winecoff A., 2011, Social Cognitive and Affective Neuroscience
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Aksaray, S. G., & Özçelik, E. (2022) · Educational Psychology · doi:10.1080/01443410.2022.2154317 · Cited by 8
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Zhang, A., Zhang, Q., Zhao, Z., Li, Q., Li, F. Y., Hu, Y., Huang, X., Kuang, W., Kemp, G. J., Zhao, Y., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70198 · Cited by 7
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Choi, D., Li, L., Liu, H., & Zeng, L. (2019) · Pattern Analysis and Applications · doi:10.1007/s10044-018-00775-y · Cited by 6
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Metadata
- Authors
- Dolcos, F., Iordan, A. D., & Dolcos, S.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Dolcos, Florin
- Venue
- Journal of Cognitive Psychology
- Publisher
- Informa UK Limited
- Published
- 2011-09
- Volume
- 23
- Issue
- 6
- Pages
- 669-694
- ISSN
- 2044-5911 (ISSN-L)
- 2044-592X
- PMC
- PMC3206704
- OpenAlex
- W2074583690
- Cited by
- 355
- References
- 192
- Citations by year
- 2026: 16 · 2025: 22 · 2024: 31 · 2023: 19 · 2022: 25 · 2021: 30 · 2020: 18 · 2019: 28 · 2018: 21 · 2017: 22 · 2016: 28 · 2015: 23 · 2014: 26 · 2013: 19 · 2012: 23
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Psychology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- emotion-cognition interaction, neural correlates, emotion regulation, emotion and cognition, individual differences, mood disorders, anxiety disorders, emotional memory, neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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