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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
Cited by
Sorted by citations
Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J., & Wager, T. D. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.009 · Cited by 3,224
Self-citationEmotional processing in anterior cingulate and medial prefrontal cortex
Etkin, A., Egner, T., & Kalisch, R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.004 · Cited by 3,059
The brain basis of emotion: a meta-analytic review
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000446 · Cited by 2,320
“Indeed, in another study examining neural responses during long periods ( 2 minutes) of social evaluative threat, the mPFC was found to stay active for the entire duration of the stress period (Wager et al. 2009b).”
Self-citationAndrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102
Visceral influences on brain and behavior
Critchley, H. D., & Harrison, N. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.008 · Cited by 1,177
The brain's default network and its adaptive role in internal mentation
Andrews-Hanna, J. R. (2012) · The Neuroscientist · doi:10.1177/1073858411403316 · Cited by 1,114
Eisenberger, N. I. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3231 · Cited by 1,016
An Interoceptive Predictive Coding Model of Conscious Presence
Seth, A. K., Suzuki, K., & Critchley, H. D. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00395 · Cited by 950
“…of autonomic vascular changes through central command (Delgado, 1960) and a parallel, partly reciprocal, system of antisympathetic and parasympathetic efferent drive operates through subgenual cingulate and ventromedial prefrontal cortex (Nagai et al., 2004; Critchley, 2009; Wager et al., 2009).”
BackgroundDynamic adaptation of large-scale brain networks in response to acute stressors
Hermans, E. J., Henckens, M. J. A. G., Joëls, M., & Fernández, G. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.03.006 · Cited by 988
Ventromedial prefrontal–subcortical systems and the generation of affective meaning
Roy, M., Shohamy, D., & Wager, T. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.01.005 · Cited by 856
Self-citationEvidence for a large-scale brain system supporting allostasis and interoception in humans
Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641
Stress-related noradrenergic activity prompts large-scale neural network reconfiguration
Hermans, E. J., van Marle, H. J. F., Ossewaarde, L., Henckens, M. J. A. G., Qin, S., van Kesteren, M. T. R., Schoots, V. C., Cousijn, H., Rijpkema, M., Oostenveld, R., et al. (2011) · Science · doi:10.1126/science.1209603 · Cited by 627
Neurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634
Conjoint activity of anterior insular and anterior cingulate cortex: awareness and response
Medford, N., & Critchley, H. D. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0265-x · Cited by 627
Eisenberger, N. I., & Cole, S. W. (2012) · Nature Neuroscience · doi:10.1038/nn.3086 · Cited by 590
Neural Control of the Lower Urinary Tract
de Groat, W. C., GRIFFITHS, D. J., & Yoshimura, N. (2014) · Comprehensive physiology · doi:10.1002/cphy.c130056 · Cited by 672
Preference by Association: How Memory Mechanisms in the Hippocampus Bias Decisions
Wimmer, G. E., & Shohamy, D. (2012) · Science · doi:10.1126/science.1223252 · Cited by 533
Attachment figures activate a safety signal-related neural region and reduce pain experience
Eisenberger, N. I., Master, S. L., Inagaki, T. K., Taylor, S. E., Shirinyan, D., Lieberman, M. D., & Naliboff, B. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108239108 · Cited by 471
Self-citationUchino, B. N., Bowen, K. S., Carlisle, M., & Birmingham, W. C. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2011.11.023 · Cited by 477
Brain mediators of predictive cue effects on perceived pain
Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0057-10.2010 · Cited by 389
Self-citationFear is only as deep as the mind allows
Diekhof, E. K., Geier, K., Falkai, P., & Gruber, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.073 · Cited by 413
Allostasis and the human brain: Integrating models of stress from the social and life sciences.
Ganzel, B. L., Morris, P., & Wethington, E. (2010) · Psychological Review · doi:10.1037/a0017773 · Cited by 415
Lindquist, M. A., Xu, Y., Nebel, M. B., & Caffo, B. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.052 · Cited by 369
Self-citationBrain default-mode network dysfunction in addiction
Zhang, R., & Volkow, N. D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.036 · Cited by 386
Smith, K. E., & Pollak, S. D. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620920725 · Cited by 379
Association between heart rate variability and fluctuations in resting-state functional connectivity
Chang, C., Metzger, C. D., Glover, G. H., Duyn, J. H., Heinze, H.-J., & Walter, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.038 · Cited by 367
A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect
Chang, L. J., Gianaros, P. J., Manuck, S. B., Krishnan, A., & Wager, T. D. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002180 · Cited by 354
Self-citationBreath of Life: The Respiratory Vagal Stimulation Model of Contemplative Activity
Gerritsen, R. J. S., & Band, G. P. H. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00397 · Cited by 342
Wager, T. D., Atlas, L. Y., Leotti, L. A., & Rilling, J. K. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3420-10.2011 · Cited by 328
Self-citationA meta-analysis of the anterior cingulate contribution to social pain
Rotge, J.-Y., Lemogne, C., Hinfray, S., Huguet, P., Grynszpan, O., Tartour, E., George, N., & Fossati, P. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu110 · Cited by 325
Neural Similarity Between Encoding and Retrieval is Related to Memory Via Hippocampal Interactions
Ritchey, M., Wing, E. A., LaBar, K. S., & Cabeza, R. E. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs258 · Cited by 324
Threat and the body: how the heart supports fear processing
Garfinkel, S. N., & Critchley, H. D. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.005 · Cited by 298
The brain basis for misophonia
Kumar, S., Tansley-Hancock, O., Sedley, W., Winston, J. S., Callaghan, M. F., Allen, M., Cope, T. E., Gander, P. E., Bamiou, D.-E., & Griffiths, T. D. (2017) · Current Biology · doi:10.1016/j.cub.2016.12.048 · Cited by 290
Brain-Body Pathways Linking Psychological Stress and Physical Health
Gianaros, P. J., & Wager, T. D. (2015) · Current Directions in Psychological Science · doi:10.1177/0963721415581476 · Cited by 290
Self-citationSaudi Journal of Business and Management Studies
(2019) · Saudi Journal of Business and Management Studies · doi:10.21276/sjbms · Cited by 287
Dynamic connectivity regression: Determining state-related changes in brain connectivity
Cribben, I., Haraldsdottir, R., Atlas, L. Y., Wager, T. D., & Lindquist, M. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.070 · Cited by 289
Self-citationWager, T. D., van Ast, V. A., Hughes, B. L., Davidson, M. L., Lindquist, M. A., & Ochsner, K. N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.044 · Cited by 264
Self-citationA Bayesian Model of Category-Specific Emotional Brain Responses
Wager, T. D., Kang, J., Johnson, T. D., Nichols, T. E., Satpute, A. B., & Barrett, L. F. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004066 · Cited by 262
Self-citationThe plasticity of well-being: A training-based framework for the cultivation of human flourishing
Dahl, C. J., Wilson‐Mendenhall, C. D., & Davidson, R. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014859117 · Cited by 295
Interaction between cognition, emotion, and the autonomic nervous system
(2013) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-53491-0.00006-7 · Cited by 230
Neural Control of the Lower Urinary Tract
de Groat, W. C., GRIFFITHS, D. J., & Yoshimura, N. (2015) · Comprehensive physiology · doi:10.1002/j.2040-4603.2015.tb00596.x · Cited by 210
How nature nurtures: Amygdala activity decreases as the result of a one-hour walk in nature
Sudimac, S., Sale, V., & Kühn, S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01720-6 · Cited by 234
Neural control of micturition in humans: a working model
GRIFFITHS, D. J. (2015) · Nature Reviews Urology · doi:10.1038/nrurol.2015.266 · Cited by 202
Veer, I. M., Oei, N. Y. L., Spinhoven, P., van Buchem, M. A., Elzinga, B. M., & Rombouts, S. A. R. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.074 · Cited by 209
Stress potentiates decision biases: A stress induced deliberation-to-intuition (SIDI) model
Yu, R. (2016) · Neurobiology of Stress · doi:10.1016/j.ynstr.2015.12.006 · Cited by 227
The insular cortex and the regulation of cardiac function
Oppenheimer, S., & Cechetto, D. (2016) · Comprehensive Physiology · doi:10.1002/cphy.c140076 · Cited by 191
Fox, A. S., & Shackman, A. J. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.11.056 · Cited by 206
Kop, W. J., Synowski, S. J., Newell, M. E., Schmidt, L. A., Waldstein, S. R., & Fox, N. A. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.12.003 · Cited by 186
Motor, cognitive, and affective areas of the cerebral cortex influence the adrenal medulla
Dum, R. P., Levinthal, D. J., & Strick, P. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605044113 · Cited by 188
Gianaros, P. J., & Sheu, L. K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.073 · Cited by 185
Gorgolewski, K. J., Lurie, D. J., Urchs, S. G. W., Kipping, J., Craddock, R. C., Milham, M. P., Margulies, D. S., & Smallwood, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097176 · Cited by 178
Kraynak, T. E., Marsland, A. L., Wager, T. D., & Gianaros, P. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.07.013 · Cited by 165
Self-citationBrain systems for baroreflex suppression during stress in humans
Gianaros, P. J., Onyewuenyi, I. C., Sheu, L. K., Christie, I. C., & Critchley, H. D. (2012) · Human Brain Mapping · doi:10.1002/hbm.21315 · Cited by 166
Ginty, A. T., Kraynak, T. E., Fisher, J. P., & Gianaros, P. J. (2017) · Autonomic Neuroscience · doi:10.1016/j.autneu.2017.03.003 · Cited by 180
States of mind: Emotions, body feelings, and thoughts share distributed neural networks
Oosterwijk, S., Lindquist, K. A., Anderson, E., Dautoff, R. J., Moriguchi, Y., & Barrett, L. F. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.079 · Cited by 178
The Cognitive Neuroscience of Placebo Effects: Concepts, Predictions, and Physiology
Geuter, S., Koban, L., & Wager, T. D. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031132 · Cited by 174
Self-citationBehavioural and neural evidence for self-reinforcing expectancy effects on pain
Jepma, M., Koban, L., van Doorn, J., Jones, M., & Wager, T. D. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0455-8 · Cited by 155
Self-citationDissecting axes of autonomic control in humans: insights from neuroimaging
Critchley, H. D., Nagai, Y., Gray, M. A., & Mathias, C. J. (2011) · Autonomic Neuroscience · doi:10.1016/j.autneu.2010.09.005 · Cited by 152
Akdeniz, C., Tost, H., Streit, F., Haddad, L., Wüst, S., Schäfer, A., Schneider, M., Rietschel, M., Kirsch, P., & Meyer-Lindenberg, A. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.35 · Cited by 151
Network Organization Unfolds over Time during Periods of Anxious Anticipation
McMenamin, B. W., Langeslag, S. J. E., Sirbu, M., Padmala, S., & Pessoa, L. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1579-14.2014 · Cited by 140
Tagliabue, C. F., Veniero, D., Benwell, C., Cecere, R., Savazzi, S., & Thut, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-41024-4 · Cited by 150
Dynamic Shifts in Large-Scale Brain Network Balance As a Function of Arousal
Young, C. B., Raz, G., Everaerd, D., Beckmann, C. F., Tendolkar, I., Hendler, T., Fernández, G., & Hermans, E. J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1759-16.2016 · Cited by 155
Veer, I. M., Oei, N. Y. L., Spinhoven, P., van Buchem, M. A., Elzinga, B. M., & Rombouts, S. A. R. B. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.12.001 · Cited by 140
Emotion regulation and the salience network: a hypothetical integrative model of fibromyalgia
Pinto, A. M., Geenen, R., Wager, T. D., Lumley, M. A., Häuser, W., Kosek, E., Ablin, J. N., Amris, K., Branco, J., Buskila, D., et al. (2022) · Nature Reviews Rheumatology · doi:10.1038/s41584-022-00873-6 · Cited by 161
Self-citationSuicidal behavior and problems with emotion regulation
Neacsiu, A. D., Fang, C. M., Rodriguez, M., & Rosenthal, M. Z. (2018) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12335 · Cited by 139
Cognition, emotion, and the central autonomic network
Quadt, L., Critchley, H., & Nagai, Y. (2022) · Autonomic Neuroscience · doi:10.1016/j.autneu.2022.102948 · Cited by 139
Fan, Y., Herrera-Meléndez, A. L., Pestke, K., Feeser, M., Aust, S., Otte, C., Pruessner, J. C., Böker, H., Bajbouj, M., & Grimm, S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22553 · Cited by 142
Brindle, R. C., Ginty, A. T., Phillips, A. C., & Carroll, D. (2014) · Psychophysiology · doi:10.1111/psyp.12248 · Cited by 144
Heart–brain interactions in cardiac arrhythmia
Taggart, P. I., Critchley, H., & Lambiase, P. D. (2011) · Heart · doi:10.1136/hrt.2010.209304 · Cited by 140
Yang, F. N., Xie, W., & Wang, Z. (2022) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(22)00188-2 · Cited by 148
High-dimensional multivariate mediation with application to neuroimaging data
Chén, O. Y., Crainiceanu, C. M., Ogburn, E. L., Caffo, B. S., Wager, T. D., & Lindquist, M. A. (2017) · Biostatistics · doi:10.1093/biostatistics/kxx027 · Cited by 125
Self-citationDetecting functional connectivity change points for single-subject fMRI data
Cribben, I., Wager, T. D., & Lindquist, M. A. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00143 · Cited by 122
Self-citationBiological explanations of criminal behavior
Ling, S., Umbach, R., & Raine, A. (2019) · Psychology Crime and Law · doi:10.1080/1068316x.2019.1572753 · Cited by 138
Multivariate Brain Prediction of Heart Rate and Skin Conductance Responses to Social Threat
Eisenbarth, H., Chang, L. J., & Wager, T. D. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3672-15.2016 · Cited by 118
Self-citationBrain mediators of the effects of noxious heat on pain
Atlas, L. Y., Lindquist, M. A., Bolger, N. P., & Wager, T. D. (2014) · Pain · doi:10.1016/j.pain.2014.05.015 · Cited by 115
Self-citationBrindle, R. C., Pearson, A., & Ginty, A. T. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104530 · Cited by 123
Role of right pregenual anterior cingulate cortex in self-conscious emotional reactivity
Sturm, V. E., Sollberger, M. A., Seeley, W. W., Rankin, K. P., Ascher, E. A., Rosen, H. J., Miller, B. L., & LEVENSON, R. W. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss023 · Cited by 119
Brain mechanisms of social touch-induced analgesia in females
López‐Solà, M., Geuter, S., Koban, L., Coan, J. A., & Wager, T. D. (2019) · Pain · doi:10.1097/j.pain.0000000000001599 · Cited by 110
Self-citationJenness, J. L., Peverill, M., Miller, A. B., Heleniak, C. M., Robertson, M. M., Sambrook, K., Sheridan, M. A., & McLaughlin, K. A. (2020) · Psychological Medicine · doi:10.1017/s0033291720000641 · Cited by 121
A social neuroscience perspective on stress and health.
Muscatell, K. A., & Eisenberger, N. I. (2012) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2012.00467.x · Cited by 101
Blunted cardiac stress reactivity relates to neural hypoactivation
Ginty, A. T., Gianaros, P. J., Derbyshire, S. W. G., Phillips, A. C., & Carroll, D. (2013) · Psychophysiology · doi:10.1111/psyp.12017 · Cited by 103
Inducing and Measuring Emotion and Affect
Quigley, K. S., Lindquist, K. A., & Barrett, L. F. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511996481.014 · Cited by 115
McConnell, P. A., Froeliger, B., Garland, E. L., Ives, J. C., & Sforzo, G. A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01248 · Cited by 101
Berretz, G., Packheiser, J., Kumsta, R., Wolf, O. T., & Ocklenburg, S. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.001 · Cited by 115
Schmidt, L., Skvortsova, V., Kullen, C., Weber, B., & Plaßmann, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-08080-0 · Cited by 109
Resting high‐frequency heart rate variability is related to resting brain perfusion
Allen, B., Jennings, J. R., Gianaros, P. J., Thayer, J. F., & Manuck, S. B. (2014) · Psychophysiology · doi:10.1111/psyp.12321 · Cited by 102
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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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