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Brain mediators of cardiovascular responses to social threat
Open accessAbstract
Social threat is a key component of mental "stress" and a potent generator of negative emotions and physiological responses in the body. How the human brain processes social context and drives peripheral physiology, however, is relatively poorly understood. Human neuroimaging and animal studies implicate the dorsal medial prefrontal cortex (MPFC), though this heterogeneous region is likely to contain multiple sub-regions with diverse relationships with physiological reactivity and regulation. We used fMRI combined with a novel multi-level path analysis approach to identify brain mediators of the effects of a public speech preparation task (social evaluative threat, SET) on heart rate (HR). This model provides tests of functional pathways linking experimentally manipulated threat, regional fMRI activity, and physiological output, both across time (within person) and across individuals (between persons). It thus integrates time series connectivity and individual difference analyses in the same path model. The results provide evidence for two dissociable, inversely coupled sub-regions of MPFC that independently mediated HR responses. SET caused activity increases in a more dorsal pregenual cingulate region, whose activity was coupled with HR increases. Conversely, SET caused activity decreases in a right ventromedial/medial orbital region, which were coupled with HR increases. Individual differences in coupling strength in each pathway independently predicted individual differences in HR reactivity. These results underscore both the importance and heterogeneity of MPFC in generating physiological responses to threat.
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“Recent work highlights a similar role in social pain and rejection for subgenual and pregenual regions of the ACC as well (Rotge et al., 2014; Wager et al., 2009).”
From Neural responses to social threat and predictors of cognitive behavioral therapy and acceptance and commitment therapy in social anxiety disorder (2017) · cites this paper as Wager et al., 2009
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“Like dACC, pregenual ACC has been implicated in social pain and rejection (Rotge et al., 2014), as well as during the regulation of emotional conflicts (Etkin et al., 2011), and responses to social-evaluative threat (Wager et al., 2009).”
From Neural responses to social threat and predictors of cognitive behavioral therapy and acceptance and commitment therapy in social anxiety disorder (2017) · cites this paper as Wager et al., 2009
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“Both effects tracked the individual time course of autonomic changes during the challenge, and the relationships between vmPFC and autonomic changes were mediated in part by activity in PAG.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [64]
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“In a pair of studies [64,65], speech preparation elicited activity increases in dorsal vmPFC/dACC and decreases in ventral vmPFC (figure 1j).”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [64]
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Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Kirschbaum, C., Pirke, K.-M., & Hellhammer, D. H. (2008) · Neuropsychobiology · doi:10.1159/000119004 · Cited by 6,093
Dickerson, S. S., & Kemeny, M. E. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.3.355 · Cited by 5,881
Physiology and neurobiology of stress and adaptation: central role of the brain
McEwen, B. S. (2007) · Physiological Reviews · doi:10.1152/physrev.00041.2006 · Cited by 5,429 · cited 4×
“, 1992) and impairments in declarative memory (McEwen and Sapolsky, 1995), promote proinflammatory immune responses (Kiecolt-Glaser and Glaser, 2002), and contribute to cognitive and physical aging (Mcewen, 2007), among other adverse effects.”
BackgroundInfluentialSelye, H. (1956) · Medical Entomology and Zoology · Cited by 5,224
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Universal dimensions of social cognition: warmth and competence
Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.11.005 · Cited by 4,567
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
Research works printed but not linked: 4
- Critchley, 2003, Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence, Brain, 126, 2139, 10.1093/brain/awg216 · DOI · Paper page
- Gianaros, 2008, Individual differences in stressor-evoked blood pressure reactivity vary with activation, volume, and functional connectivity of the amygdala, J. Neurosci., 28, 990, 10.1523/JNEUROSCI.3606-07.2008 · DOI
- Wager, 2009, Brain mediators of cardiovascular responses to social threat, Part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity, Neuroimage, 47, 821, 10.1016/j.neuroimage.2009.05.043
- Waugh, 2008, Cardiovascular recovery from anticipated negative experiences that never occur, Psychophysiology, 45, S83
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Items 201–300 of 401
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Çatal, Y., Gómez‐Pilar, J., & Northoff, G. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab504 · Cited by 26
Neuroanatomical substrates for the volitional regulation of heart rate
Jones, C. L., Minati, L., Nagai, Y., Medford, N., Harrison, N. A., Gray, M. A., Ward, J., & Critchley, H. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00300 · Cited by 30
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Thompson, R. S., Christianson, J. P., Maslanik, T., Maier, S. F., Greenwood, B. N., & Fleshner, M. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.02.009 · Cited by 27
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Banich, M. T., Smolker, H. R., Snyder, H. R., Lewis‐Peacock, J. A., Godinez, D. A., Wager, T. D., & Hankin, B. L. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.12.006 · Cited by 31
Self-citationKoch, S. B. J., Klumpers, F., Zhang, W., Hashemi, M. M., Kaldewaij, R., van Ast, V. A., Smit, A. S., & Karin Roelofs, A. (2017) · European Journal of Psychotraumatology · doi:10.1080/20008198.2017.1412226 · Cited by 25
Ginty, A. T., Hurley, P. E., & Young, D. A. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107933 · Cited by 24
Atypical Integration of Sensory-to-Transmodal Functional Systems Mediates Symptom Severity in Autism
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Brain mediators of biased social learning of self-perception in social anxiety disorder
Koban, L., Andrews‐Hanna, J. R., Ives, L. T., Wager, T. D., & Arch, J. J. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02587-z · Cited by 24
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Résibois, M., Kalokerinos, E. K., Verleysen, G., Kuppens, P., Mechelen, I. V., Fossati, P., & Verduyn, P. (2017) · Cognition & Emotion · doi:10.1080/02699931.2017.1298993 · Cited by 29
Kim, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00281 · Cited by 28
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Najafi, M., Kinnison, J., & Pessoa, L. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00552 · Cited by 25
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Amiez, C., & Procyk, E. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64196-0.00004-2 · Cited by 28
Mueller, E. M., Stemmler, G., & Wacker, J. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.12.051 · Cited by 24
Communication neuroscience as a tool for health psychologists.
Falk, E. B. (2010) · Health Psychology · doi:10.1037/a0020427 · Cited by 24
Timmers, I., López‐Solà, M., Heathcote, L. C., Heirich, M. S., Rush, G. Q., Shear, D., Borsook, D., & Simons, L. E. (2021) · Pain · doi:10.1097/j.pain.0000000000002410 · Cited by 27
Wu, J., Zhang, S., Li, W., Qin, S., Yong He, A., Yang, Z., Buchanan, T. W., Liu, C., & Zhang, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.016 · Cited by 25
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Critchley, H., & Garfinkel, S. N. (2014) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s35915 · Cited by 27
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Bee, C. C., King, J. S., & Stornelli, J. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.02.048 · Cited by 23
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Du, J., Rolls, E. T., Gong, W., Cao, M., Vatansever, D., Zhang, J., Kang, J., Cheng, W., & Feng, J. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01325-5 · Cited by 24
Girard, C., Bastelica, T., Léone, J., Epinat‐Duclos, J., Longo, L., & Prado, J. (2021) · npj Science of Learning · doi:10.1038/s41539-021-00112-9 · Cited by 23
Akdeniz, C., Schäfer, A., Streit, F., Haller, L., Wüst, S., Kirsch, P., Tost, H., & Meyer‐Lindenberg, A. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw138 · Cited by 23
Sharing Manipulated Heart Rate Feedback in Collaborative Virtual Environments
Dey, A., Chen, H., Hayati, A. F., Billinghurst, M., & Lindeman, R. W. (2019) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2019.00022 · Cited by 22
Cerebral cortex and autonomic nervous system responses during emotional memory processing
Mizuno‐Matsumoto, Y., Inoguchi, Y., Carpels, S. M. A., Muramatsu, A., & Yamamoto, Y. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229890 · Cited by 24
Sobel, M. E., & Lindquist, M. A. (2014) · Journal of the American Statistical Association · doi:10.1080/01621459.2014.922886 · Cited by 22
Self-citationSudimac, S., & Kühn, S. (2024) · Environmental Research · doi:10.1016/j.envres.2024.119813 · Cited by 22
Wei, D., Liu, Y., Zhuang, K., Lv, J., Meng, J., Sun, J., Chen, Q., Yang, W., & Qiu, J. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.492990 · Cited by 20
Ersbøll, M. K., Alenezi, F. A. M., Samad, Z. Z., Sedberry, B., Boyle, S. H., O’Connor, C. M., Jiang, W., & Velazquez, E. J. (2014) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2013.10.014 · Cited by 20
Dadar, M., Miyasaki, J. M., Duchesne, S., & Camicioli, R. M. (2021) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2021.02.031 · Cited by 19
Emotion processing without awareness: Features detection or significance evaluation?
Sebastiani, L., Castellani, E., & D'Alessandro, L. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.02.019 · Cited by 19
Introduction to a Special Issue of Neuroimage on Brain–Body Medicine
Lane, R. D., & Wager, T. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.004 · Cited by 19
Self-citationMa, L., Keen, L., Steinberg, J. L., Eddie, D., Tan, A. Y., Keyser‐Marcus, L., Abbate, A., & Moeller, F. G. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120869 · Cited by 20
Monteiro, T. S., Adab, H. Z., Chalavi, S., Gooijers, J., King, B. R., Cuypers, K., Mantini, D., & Swinnen, S. P. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa021 · Cited by 17
Barnes, K., McNair, N. A., Harris, J. A., Sharpe, L., & Colagiuri, B. (2021) · Pain · doi:10.1097/j.pain.0000000000002222 · Cited by 18
A machine learning based approach towards high-dimensional mediation analysis
Nath, T., Caffo, B. S., Wager, T. D., & Lindquist, M. A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119843 · Cited by 20
Self-citationHarrison, N. A., Kreibig, S. D., & Critchley, H. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9780511843716.006 · Cited by 21
Timing: A missing key ingredient in typical fMRI studies of emotion
Waugh, C. E., & Schirillo, J. A. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11001646 · Cited by 19
Self-citationA Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
Johnson, M. M., Deardorff, J., Parra, K., Alkon, A., Eskenazi, B., & Shirtcliff, E. A. (2017) · Journal of Visualized Experiments · doi:10.3791/55393 · Cited by 19
The impact of self-distancing on emotion explosiveness and accumulation: An fMRI study
Résibois, M., Rotgé, J., Delaveau, P., Kuppens, P., Mechelen, I. V., Fossati, P., & Verduyn, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206889 · Cited by 19
Implicit motives predict affective responses to emotional expressions
Rösch, A. G., Stanton, S. J., & Schultheiss, O. C. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00985 · Cited by 20
Rueff-Lopes, R., Navarro, J., Caetano, A., & Silva, A. J. (2017) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2017.1360286 · Cited by 20
High-approach and low-approach positive affect influence physiological responses to threat and anger
Kaczmarek, L. D., Behnke, M., Kosakowski, M., Enko, J., Dziekan, M., Piskorski, J., Hughes, B. M., & Guzik, P. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.01.008 · Cited by 23
Music Reveals Medial Prefrontal Cortex Sensitive Period in ChildhoodPreprint
Gabard-Durnam, L. J., Hensch, T. K., & Tottenham, N. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/412007 · Cited by 18
Shier, A. J., Keogh, T. M., Costello, A. M., O’Riordan, A., & Gallagher, S. M. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113550 · Cited by 18
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Muscatell, K. A., Merritt, C., Cohen, J. R., Chang, L. J., & Lindquist, K. A. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_281 · Cited by 17
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Shao, H., & Li, S. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1226782 · Cited by 17
Woo, Y.-K., Song, J., Jiang, Y., Cho, C., Bong, M., & Kim, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00378 · Cited by 23
Gorka, S. M., Lieberman, L., Shankman, S. A., & Phan, K. L. (2017) · Psychophysiology · doi:10.1111/psyp.12829 · Cited by 18
Zhu, Y., Wang, Y., Zheng, Y., Wang, L., & Hu, X. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.123 · Cited by 18
Sex-dependent multimodal response profiles to psychosocial stress
Kuhn, L., Noack, H., Wagels, L., Prothmann, A., Schulik, A., Aydin, E., Nieratschker, V., Derntl, B., & Habel, U. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac086 · Cited by 21
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Bigalke, J. A., & Carter, J. R. (2021) · Comprehensive physiology · doi:10.1002/cphy.c210027 · Cited by 29
Zhang, J., Chen, D., Deming, P., Srirangarajan, T., Theriault, J. E., Kragel, P. A., Hartley, L., Lee, K. M., McVeigh, K., Wager, T. D., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.20.548178 · Cited by 17
Self-citationAtlas, L. Y., Dildine, T. C., Palacios‐Barrios, E. E., Yu, Q., Reynolds, R. C., Banker, L., Grant, S. S., & Pine, D. S. (2022) · eLife · doi:10.7554/elife.73353 · Cited by 20
Bradicardia en la demencia frontotemporal
Bayón, A. R., Sampedro, F. G., & Quesada, J. M. T. (2013) · Neurología · doi:10.1016/j.nrl.2013.02.010 · Cited by 16
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Mueller, E. M., Evers, E. A. T., Wacker, J., & van der Veen, F. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00077 · Cited by 17
Sariñana‐González, P., Romero‐Martínez, Á., & Moya‐Albiol, L. (2018) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000210 · Cited by 16
Ginty, A., Young, D. A., Tyra, A. T., Hurley, P. E., Brindle, R. C., & Williams, S. E. (2020) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000848 · Cited by 10
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Rasooli, A., Adab, H. Z., Chalavi, S., Monteiro, T. S., Dhollander, T., Mantini, D., & Swinnen, S. P. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1709-20.2020 · Cited by 17
Yang, F. N., Liu, T. T., & Wang, Z. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13843 · Cited by 14
Cohanpour, M., Aly, M., & Gottlieb, J. P. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0974-23.2024 · Cited by 19
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Ofori-Boateng, D., Gel, Y. R., & Cribben, I. (2020) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2020.1844214 · Cited by 15
Anastasiou, A., Cribben, I., & Fryźlewicz, P. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102252 · Cited by 16
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Atlas, L. Y., Sandman, C. F., & Phelps, E. A. (2021) · Psychophysiology · doi:10.1111/psyp.13979 · Cited by 23
Kano, M., Coen, S. J., Farmer, A. D., Aziz, Q., Williams, S., Alsop, D. C., Fukudo, S., & Tuura, R. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0593-8 · Cited by 17
Heart rate complexity: A novel approach to assessing cardiac stress reactivity
Brindle, R. C., Ginty, A. T., Phillips, A. C., Fisher, J. P., McIntyre, D. B., & Carroll, D. (2015) · Psychophysiology · doi:10.1111/psyp.12576 · Cited by 18
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Shaked, D., Millman, Z. B., Moody, D. L. B., Rosenberger, W. F., Shao, H., Katzel, L. I., Davatzikos, C. A., Gullapalli, R. P., Seliger, S. L., Erus, G., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216338 · Cited by 17
Matsukawa, K., Endo, K., Asahara, R., Yoshikawa, M., Kusunoki, S., & Ishida, T. (2017) · Physiological Reports · doi:10.14814/phy2.13488 · Cited by 14
Hilberdink, C. E., van Zuiden, M., Schrantee, A., Kőrösi, A., Kaiser, A., Zhutovsky, P., Ginty, A. T., Ensink, J. B. M., Lindauer, R., Vrijkotte, T. G. M., et al. (2021) · European Journal of Psychotraumatology · doi:10.1080/20008198.2021.1880727 · Cited by 16
Neuroimaging Studies of Interoception and Self-Awareness
Garfinkel, S. N., Nagai, Y., Seth, A. K., & Critchley, H. (2013) · Springer eBooks · doi:10.1007/978-3-642-37580-4_11 · Cited by 16
Mental Effort: Brain and Autonomic Correlates in Health and Disease
Radulescu, E., Nagai, Y., & Critchley, H. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1236-0_16 · Cited by 13
Dynamic Causal Modeling of the Prefrontal/Amygdala Network During Processing of Emotional Faces
Sladky, R., Hahn, A., Karl, I.-L., Geissberger, N., Kranz, G. S., Tik, M., Kraus, C., Pfabigan, D. M., Gartus, A., Lanzenberger, R. R., et al. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0073 · Cited by 13
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model
Xiong, X., & Cribben, I. (2022) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2022.2127738 · Cited by 13
Deactivation of the prefrontal cortex during exposure to pleasantly-charged emotional challenge
Matsukawa, K., Asahara, R., Yoshikawa, M., & Endo, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-32752-0 · Cited by 13
Torres‐Prioris, M. J., López-Barroso, D., Paredes‐Pacheco, J., Roé-Vellvé, N., Dawid-Milner, M. S., & Berthier, M. L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00678 · Cited by 13
Impact of hematocrit on measurements of the intrinsic brain
Yang, Z., Craddock, R. C., & Milham, M. P. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00452 · Cited by 13
The CNS and bladder dysfunction
Tadic, S. D., Holstege, G., & GRIFFITHS, D. J. (2012) · F1000 Medicine Reports · doi:10.3410/m4-20 · Cited by 12
Chester, D. S., & DeWall, C. N. (2018) · Social Neuroscience · doi:10.1080/17470919.2018.1430613 · Cited by 12
Emotion, Respiration, and Heart Rate Variability: A Mathematical Model and Simulation Analyses
HIRABAYASHI, S., & Iwamoto, M. (2019) · Applied Sciences · doi:10.3390/app9235008 · Cited by 12
Blair, K. S., Bashford‐Largo, J., Shah, N., Lukoff, J., Elowsky, J., Vogel, S., Emmert, A. D., Zhang, R., Dobbertin, M. D., Pollak, S. D., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00345 · Cited by 13
Nanni‐Zepeda, M., Alizadeh, S., Chand, T., Kasties, V., Fan, Y., van der Meer, J. N., Herrmann, L., Vester, J., Schulz, M., Naschold, B., et al. (2022) · BMC Neuroscience · doi:10.1186/s12868-022-00754-4 · Cited by 14
Rap1b but not Rap1a in the forebrain is required for learned fear
Chen, W., Pan, H., He, Y., Wang, X., Zhang, W., & Pan, B. (2020) · Cell & Bioscience · doi:10.1186/s13578-020-00469-1 · Cited by 12
The Social Brain, Stress, and Psychopathology
Wager, T. D., & Gianaros, P. J. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.288 · Cited by 12
Self-citationDaSilva, A. F., Kim, D. J., Lim, M., Nascimento, T., Scott, P. J. H., Smith, Y., Koeppe, R., Zubieta, J., & Kaciroti, N. (2023) · Journal of Pain Research · doi:10.2147/jpr.s407738 · Cited by 12
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Self-citation
Metadata
- Authors
- Wager, T. D., Waugh, C. E., Lindquist, M., Noll, D. C., Fredrickson, B. L., & Taylor, S. F.
- Affiliations
- Columbia University (US)
- Stanford University (US)
- University of North Carolina at Chapel Hill (US)
- University of Michigan (US)
- Corresponding author
- Wager, Tor D.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 47
- Issue
- 3
- Pages
- 821-835
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3275821
- OpenAlex
- W2103729454
- Cited by
- 402
- References
- 180
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 22 · 2023: 15 · 2022: 30 · 2021: 29 · 2020: 35 · 2019: 27 · 2018: 27 · 2017: 35 · 2016: 21 · 2015: 27 · 2014: 35 · 2013: 15 · 2012: 23
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH 59615, R01MH059615, MH076136, R01MH076136, R37MH076136)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- social danger, social-evaluative threat, heart rate reactivity, dorsomedial prefrontal cortex, ventromedial prefrontal cortex, heart-brain interaction, individual differences, cardiovascular response
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Heart Rate, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Speech, Stress, Psychological, Prefrontal Cortex
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