The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Flagged first, then by citations
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
Cited by
Sorted by citations
Items 101–200 of 354
Moral-Bofill, L., de la Llave, A. L., Pérez-Llantada, M. C., & Tello, F. P. H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.899621 · Cited by 39
Storbeck, J., Davidson, N. A., Dahl, C. F., Blass, S., & Yung, E. (2014) · Cognition & Emotion · doi:10.1080/02699931.2014.904222 · Cited by 32
Brain Activity and Network Interactions in the Impact of Internal Emotional Distraction
Iordan, A. D., Dolcos, S. M., & Dolcos, F. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy129 · Cited by 29
Self-citationKellermann, T. S., Caspers, S., Fox, P. T., Zilles, K., Roski, C., Laird, A. R., Turetsky, B. I., & Eickhoff, S. B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.046 · Cited by 25
Emotion-related cerebral blood flow changes in the ventral medial prefrontal cortex: An NIRS study
Ozawa, S., Kanayama, N., & Hiraki, K. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.05.001 · Cited by 26
Im, H. Y., Cushing, C. A., Ward, N., & Kveraga, K. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00880-2 · Cited by 27
The effect of induced sadness and moderate depression on attention networks
Bellaera, L., & von Mühlenen, A. (2016) · Cognition & Emotion · doi:10.1080/02699931.2016.1197101 · Cited by 24
The Impact of Focused Attention on Emotional Experience: A Functional MRI Investigation
Dolcos, F., Katsumi, Y., Shen, C., Bogdan, P. C., Jun, S., Larsen, R., Heller, W., Bost, K. F., & Dolcos, S. (2020) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-020-00816-2 · Cited by 24
Self-citationDiekmann, V., & Hoppner, A. C. (2014) · Epileptic Disorders · doi:10.1684/epd.2014.0636 · Cited by 23
Egidi, G., & Caramazza, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.008 · Cited by 23
Happily Distracted: Mood and a Benefit of Attention Dysregulation in Older Adults
Biss, R. K., Weeks, J. C., & Hasher, L. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00399 · Cited by 21
Suchotzki, K., & Gamer, M. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000437 · Cited by 25
Kelley, N. J., & Schmeichel, B. J. (2016) · Journal of Experimental Psychology General · doi:10.1037/xge0000238 · Cited by 23
Love is a physiological motivation (like hunger, thirst, sleep or sex)
Burunat, E. (2019) · Medical Hypotheses · doi:10.1016/j.mehy.2019.05.011 · Cited by 25
Moore, M., Shafer, A. T., Bakhtiari, R., Dolcos, F., & Singhal, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116078 · Cited by 24
Self-citationReasoning, cognitive control, and moral intuition
Patterson, R., Rothstein, J. K., & Barbey, A. K. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00114 · Cited by 24
Reske, M., Rosenberg, J., Plapp, S., Kellermann, T., & Shah, N. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.013 · Cited by 20
Denkova, E., Dolcos, S. M., & Dolcos, F. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00192 · Cited by 21
Self-citationTowards a child-robot symbiotic co-development: a theoretical approach
Charisi, V., Davison, D. P., Wijnen, F., van der Meij, J., Reidsma, D., Prescott, T. J., van Joolingen, W., & Evers, V. (2015) · University of Twente Research Information · Cited by 19
Task difficulty modulates brain activation in the emotional oddball task
Siciliano, R. E., Madden, D. J., Tallman, C. W., Boylan, M. A., Kirste, I., Monge, Z. A., Packard, L. E., Potter, G. G., & Wang, L. (2017) · Brain Research · doi:10.1016/j.brainres.2017.03.028 · Cited by 19
Davison, D. P., Wijnen, F., van der Meij, J., Reidsma, D., & Evers, V. (2019) · International Journal of Social Robotics · doi:10.1007/s12369-019-00555-6 · Cited by 20
Parent coaching of music interventions for children with ASD: A conceptual framework
Ruiz, E. H. (2019) · Nordic Journal of Music Therapy · doi:10.1080/08098131.2019.1647447 · Cited by 20
Emotion has no impact on attention in a change detection flicker task
Bendall, R. C. A., & Thompson, C. R. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01592 · Cited by 22
Haim‐Nachum, S., & Levy‐Gigi, E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.615289 · Cited by 19
Sleep deprivation attenuates neural responses to outcomes from risky decision‐making
Mao, T., Fang, Z., Chai, Y., Deng, Y., Rao, J., Quan, P., Goel, N., Basner, M., Guo, B., Dinges, D. F., et al. (2023) · Psychophysiology · doi:10.1111/psyp.14465 · Cited by 16
Age-related emotional bias in processing two emotionally valenced tasks
Allen, P. A., Lien, M.-C., & Jardin, E. (2015) · Psychological Research · doi:10.1007/s00426-015-0711-8 · Cited by 18
Early detection and late cognitive control of emotional distraction by the prefrontal cortex
Pacios, J., Garcés, P., del Río, D., & Maestú, F. (2015) · Scientific Reports · doi:10.1038/srep10046 · Cited by 20
Spangler, D. P., & Friedman, B. H. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00043 · Cited by 19
Fournier, L. F., McDonald, J. B., Clayson, P. E., & Verona, E. (2021) · Psychophysiology · doi:10.1111/psyp.13815 · Cited by 19
Smet, S. D., Razza, L. B., Pulopulos, M. M., Raedt, R. D., Baeken, C., Brunoni, A. R., & Vanderhasselt, M. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.03.021 · Cited by 17
When less is better than more: Just-below discount in tensile price promotions
Banerjee, P. J., Tripathi, S., & Sahay, A. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.03.012 · Cited by 19
Mo, L., Li, S., Cheng, S. Y., Li, Y., Xu, F., & Zhang, D. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad043 · Cited by 17
Pollock, J., Khoja, N., Kaut, K. P., Lien, M.-C., & Allen, P. A. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00060 · Cited by 17
Distraction decreases prefrontal oxygenation: A NIRS study
Ozawa, S., & Hiraki, K. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.02.003 · Cited by 17
Houston, J. R., Pollock, J., Lien, M.-C., & Allen, P. A. (2018) · Experimental Aging Research · doi:10.1080/0361073x.2018.1449585 · Cited by 17
Localized or diffuse: the link between prefrontal cortex volume and cognitive reappraisal.
Moore, M., Iordan, A., Hu, Y., Kragel, J., Dolcos, S., & Dolcos, F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw043 · Cited by 19
Self-citationTransdiagnostic neural markers of emotion–cognition interaction in psychotic disorders.
Sabharwal, A., Szekely, A., Kotov, R., Mukherjee, P., Leung, H., Barch, D. M., & Mohanty, A. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000196 · Cited by 19
Pacios, J., Garcés, P., del Río, D., & Maestú, F. (2017) · Psychophysiology · doi:10.1111/psyp.12912 · Cited by 21
Dolcos, F., Katsumi, Y., Denkova, E., Weymar, M., & Dolcos, S. M. (2017) · Springer eBooks · doi:10.1007/978-4-431-56591-8_5 · Cited by 15
Self-citationWhite matter – emotion processing activity relationships in youth offspring of bipolar parents
Acuff, H. E., Versace, A., Bertocci, M. A., Hanford, L. C., Ladouceur, C. D., Manelis, A., Monk, K., Bonar, L. K., Mccaffrey, A., Goldstein, B. I., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.09.010 · Cited by 16
Updating schematic emotional facial expressions in working memory: Response bias and sensitivity.
Tamm, G., Kreegipuu, K., Harro, J., & Cowan, N. (2017) · Acta Psychologica · doi:10.1016/j.actpsy.2016.11.002 · Cited by 14
Sakaki, M., Ueno, T., Ponzio, A., Harley, C. W., & Mather, M. (2019) · Cognition · doi:10.1016/j.cognition.2019.02.011 · Cited by 17
Language Comprehension and Emotion
Berkum, J. J. A. V. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190672027.013.29 · Cited by 19
Strong correspondence between prefrontal and visual representations during emotional perception
Park, D., Kim, T., & Lee, S.-H. (2021) · Human Brain Mapping · doi:10.1002/hbm.25353 · Cited by 14
Rosa, E., Grönkvist, M., Kölegård, R., Dahlström, N., Knez, I., Ljung, R., & Willander, J. (2021) · Aerospace Medicine and Human Performance · doi:10.3357/amhp.5798.2021 · Cited by 20
Yang, J., Tang, M., Cong, L., Sun, J., Guo, D., Zhang, T., Xiong, K., Wang, L., Cheng, S., Ma, J., et al. (2023) · Ergonomics · doi:10.1080/00140139.2023.2229075 · Cited by 15
Akbari, M., Bahadori, M. H., Mohammadkhani, S., Kolubinski, D. C., Nikčević, A. V., & Spada, M. M. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100354 · Cited by 15
Time Perspective and Entrepreneurs’ Alertness
Levasseur, L., Lanivich, S. E., Kalubandi, S. C., & Sanaria, A. (2024) · Entrepreneurship Theory and Practice · doi:10.1177/10422587241241823 · Cited by 16
Kaur, A., Chinnadurai, V., & Rishu Chaujar, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-61119-7 · Cited by 14
Langeslag, S. J. E., & Strien, J. W. V. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.09.015 · Cited by 13
Dolcos, F., Katsumi, Y., Denkova, E., & Dolcos, S. M. (2017) · Springer series in cognitive and neural systems · doi:10.1007/978-3-319-29674-6_14 · Cited by 19
Self-citationFrontoinsular Network Markers of Current and Future Adolescent Mood Health
Kaiser, R. H., Peterson, E. C., Kang, M. S., Feen, J. V. D., Aguirre, B. A., Clegg, R. A., Goer, F., Esposito, E. C., Auerbach, R. P., & Pizzagalli, D. A. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.03.014 · Cited by 14
Sugi, M., Sakuraba, S., Saito, H., Miyazaki, M., Yoshida, S., Kamada, T., Sakai, S., & Sawamura, D. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.514414 · Cited by 14
Self‐Regulation and Developmental Psychopathology: Experiential Canalization of Brain and Behavior
Blair, C., Raver, C. C., & Finegood, E. D. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy213 · Cited by 16
Reducing Amygdala Activity and Phobic Fear through Cognitive Top–Down Regulation
Loos, E., Schicktanz, N. S., Fastenrath, M., Coynel, D., Milnik, A., Fehlmann, B., Egli, T., Ehrler, M., Papassotiropoulos, A., & de Quervain, D. J. ‐. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01537 · Cited by 14
Jackson, M. C., Linden, D. E. J., & Raymond, J. E. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00437 · Cited by 15
Salsano, I., Tain, R., Giulietti, G., Williams, D. P., Ottaviani, C., Antonucci, G., Thayer, J. F., & Santangelo, V. (2024) · Cortex · doi:10.1016/j.cortex.2023.12.014 · Cited by 13
Shams, G., & Kim, K. (2024) · Journal of Hospitality & Tourism Research · doi:10.1177/10963480241280991 · Cited by 13
Relationship between negative teacher behaviors and student engagement: Evidence from India
Kuril, S., Gupta, V., & Chand, V. S. (2021) · International Journal of Educational Research · doi:10.1016/j.ijer.2021.101858 · Cited by 15
Burhan, A. M., Anazodo, U., Chung, J. K., Arena, A., Graff‐Guerrero, A., & Mitchell, D. G. V. (2016) · Behavioural Neurology · doi:10.1155/2016/1637392 · Cited by 13
Neuroimaging Studies of Alexithymia
Goerlich, K. S., & Aleman, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108241595.015 · Cited by 12
Gado, S., Lingelbach, K., Wirzberger, M., & Vukelić, M. (2023) · Sensors · doi:10.3390/s23146546 · Cited by 12
Ladouceur, C. D., Schlund, M. W., & Segreti, A. M. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.10.019 · Cited by 11
Chen, S., Fang, J., Wang, L.-M., & Liu, C.-L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236030 · Cited by 15
A model of emotion as patterned metacontrol
Sanz, R., Sánchez-Escribano, M. G., & Herrera, C. (2013) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2013.02.001 · Cited by 11
Soehner, A. M., Goldstein, T. R., Gratzmiller, S. M., Phillips, M. L., & Franzen, P. L. (2018) · Bipolar Disorders · doi:10.1111/bdi.12583 · Cited by 11
Positioning–Emotions Association of Young Students Using Digital Technology
Daher, W. M., & Swidan, O. (2021) · Mathematics · doi:10.3390/math9141617 · Cited by 12
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
Wong‐Padoongpatt, G., Dolcos, S. M., Denkova, E., Morey, R. A., Wang, L., McCarthy, G., & Dolcos, F. (2012) · Journal of Visualized Experiments · doi:10.3791/2434 · Cited by 11
Self-citationFabiani, M. (2014) · Psychophysiology · doi:10.1111/psyp.12381 · Cited by 11
Lingelbach, K., Gado, S., Wirzberger, M., & Vukelić, M. (2023) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2023.1273810 · Cited by 11
Moments of Insight in Problem‐Solving Relate to Bodily Arousal
Nam, B., Paromita, P., Chu, S. L., Chaspari, T., & Woltering, S. (2021) · The Journal of Creative Behavior · doi:10.1002/jocb.504 · Cited by 10
Inhibition and Creativity in Aging: Does Distractibility Enhance Creativity?
Yang, L., Kandasamy, K., & Hasher, L. (2022) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121020-030705 · Cited by 15
Affective and Cognitive Responses to Poetry in the University Classroom
Rumbold, K., & Simecek, K. (2016) · Changing English · doi:10.1080/1358684x.2016.1230468 · Cited by 16
Varga, M., Visu‐Petra, G., Miclea, M., & Visu‐Petra, L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116087 · Cited by 10
Neurophysiological correlates of emotional face perception consciousness
Lai, C., Pellicano, G. R., Ciacchella, C., Guidobaldi, L., Altavilla, D., Cecchini, M. G., Begotaraj, E., Aceto, P., & Luciani, M. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107554 · Cited by 10
Song, D., Liu, P., Ma, X., Chang, D., & Wang, Z. (2024) · medRxiv · doi:10.1101/2024.04.26.24306327 · Cited by 10
Bratu, I., Nica, A. E., Oane, I., Daneasa, A., Stoica, S., Barborică, A., & Mı̂ndruță, I. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1072075 · Cited by 10
A Novel Dual-Task Model for EEG-Based Emotion and Cognition Recognition
Jia, Z., Ouyang, Y., Kong, X., Guo, Y., Li, Z., & Zeng, H. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3522413 · Cited by 10
Type 1 diabetes and working memory processing of emotional faces
González‐Garrido, A. A., Gallardo‐Moreno, G. B., & Gómez‐Velázquez, F. R. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.02.008 · Cited by 11
Proof‐of‐concept evidence for trimodal simultaneous investigation of human brain function
Moore, M., Maclin, E. L., Iordan, A. D., Katsumi, Y., Larsen, R. J., Bagshaw, A. P., Mayhew, S. D., Shafer, A. T., Sutton, B. P., Fabiani, M., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25541 · Cited by 8
Self-citationNémeth, V. L., Csete, G., Drótos, G., Greminger, N., Janka, Z., Vécsei, L., & Must, A. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01849 · Cited by 10
The effect of anxiety on mathematical thinking: An fMRI study on 12th-grade students
Atabek, O., Şavklıyıldız, A., Orhon, G., Çolak, Ö. H., Özdemir, A., & Şenol, U. (2021) · Learning and Motivation · doi:10.1016/j.lmot.2021.101779 · Cited by 9
Interactive influences of emotion and extraversion on visual attention
Bendall, R. C. A., Begley, S., & Thompson, C. R. (2021) · Brain and Behavior · doi:10.1002/brb3.2387 · Cited by 10
The Role of Affect in Attentional Functioning for Younger and Older Adults
Noh, S. R., Larcom, M. J., Liu, X., & Isaacowitz, D. M. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00311 · Cited by 9
Neural correlates of affective task switching and asymmetric affective task switching costs
Eckart, C., Kraft, D., Rademacher, L., & Fiebach, C. J. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac054 · Cited by 11
Differential effects of angry faces on working memory updating in younger and older adults.
Berger, N., Richards, A., & Davelaar, E. J. (2018) · Psychology and Aging · doi:10.1037/pag0000262 · Cited by 8
Questioning the role of amygdala and insula in an attentional capture by emotional stimuli task
Marxen, M., Jacob, M. J., Hellrung, L., Riedel, P., & Smolka, M. N. (2020) · Human Brain Mapping · doi:10.1002/hbm.25290 · Cited by 8
The neural correlates and the underlying processes of weak brand choices
Kapoor, A., Sahay, A., Singh, N. C., Pammi, V. S. C., & Banerjee, P. J. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.07.056 · Cited by 8
Zablocki‐Thomas, P., Savidge, L. E., Witczak, L. R., Ferrer, E. E., Hobson, B. A., Chaudhari, A. J., Freeman, S. M., & Bales, K. L. (2023) · Hormones and Behavior · doi:10.1016/j.yhbeh.2023.105352 · Cited by 8
Effect of a socıal defeat experıence on prefrontal actıvıty ın schızophrenıa
Başkak, B., Baran, Z., Devrimci-Özgüven, H., Münir, K., Öner, Ö., & Ozel, T. K. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.07.017 · Cited by 8
DelDonno, S. R., Karstens, A. J., Cerny, B. M., Kling, L. R., Jenkins, L. M., Stange, J. P., Nusslock, R., Shankman, S. A., & Langenecker, S. A. (2019) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2019.1585519 · Cited by 10
Type-1 diabetes shapes working memory processing strategies
Alvarado-Rodríguez, F. J., Romo‐Vázquez, R., Gallardo‐Moreno, G. B., Vélez-Pérez, H. A., & González‐Garrido, A. A. (2019) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2019.09.003 · Cited by 10
Neuroticism modulates functional connectivity of the midcingulate cortex during emotional conflict
Kim, H., Park, J., Kuhn, M., Kim, M. J., & Hur, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-97529-8 · Cited by 7
Dolcos, F., Denkova, E., Iordan, A. D., Shafer, A. T., Fernández, G., & Dolcos, S. M. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1483373 · Cited by 11
Self-citationFioriti, C. M., Martell, R. N., Daker, R. J., Malone, E. P., Sokolowski, H., Green, A. E., Levine, S. C., Maloney, E. A., Ramirez, G., & Lyons, I. M. (2024) · Journal of Intelligence · doi:10.3390/jintelligence12030030 · Cited by 6
Minaye, A., Admas, F., Kassa, T., Teklu, F., Habtamu, K., Zeleke, S., Andualem, T., & Desie, Y. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2403275 · Cited by 9
Narayanan, P., Gopalakrishnan, B., & Sahay, A. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101600 · Cited by 8
Nissen, A. (2020) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-60073-0_1 · Cited by 7
Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection
Denkova, E., Chakrabarty, T., Dolcos, S. M., & Dolcos, F. (2011) · Journal of Visualized Experiments · doi:10.3791/2396 · Cited by 7
Self-citationWang, X., Li, Y., Li, X., Dai, D. Y., & Hu, W. (2022) · Thinking & Reasoning · doi:10.1080/13546783.2022.2039293 · Cited by 8
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 ›
Are you an author, or do you see a problem with this page? Request a review