Focus of attention modulates the heartbeat evoked potential
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Abstract
Theoretical frameworks such as predictive coding suggest that the perception of the body and world - interoception and exteroception - involve intertwined processes of inference, learning, and prediction. In this framework, attention is thought to gate the influence of sensory information on perception. In contrast to exteroception, there is limited evidence for purely attentional effects on interoception. Here, we empirically tested if attentional focus modulates cortical processing of single heartbeats, using a newly-developed experimental paradigm to probe purely attentional differences between exteroceptive and interoceptive conditions in the heartbeat evoked potential (HEP) using EEG recordings. We found that the HEP is significantly higher during interoceptive compared to exteroceptive attention, in a time window of 524-620 ms after the R-peak. Furthermore, this effect predicted self-report measures of autonomic system reactivity. Our study thus provides direct evidence that the HEP is modulated by pure attention and suggests that this effect may provide a clinically relevant readout for assessing interoception.
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Turning attention inwards and explicitly attending to one's own heartbeats consistently modulates HERs.
“Turning attention inwards and explicitly attending to one's own heartbeats consistently modulates HERs 92-98 .”
From Interoceptive rhythms in the brain (2023) · cites this paper as [98]
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1 retracted
RETRACTED: A mathematical model explains saturating axon guidance responses to molecular gradients
Nguyen, H., Dayan, P., Pujic, Z., Cooper-White, J. J., & Goodhill, G. J. (2016) · eLife · doi:10.7554/elife.12248 · Cited by 1,223 · see citing works
RetractedStatistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 3× · see citing works
“More specifically, attention towards a specific sensory channel is thought to increase its relative precision and thereby the impact of the prediction errors it conveys (Feldman & Friston, 2010).”
How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · see citing works
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006 · see citing works
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 2× · see citing works
“…introduction, the HEP is an interesting candidate for empirically testing predictions made by recent theoretical frameworks that understand perception of body and world in a joint Bayesian framework, in particular predictive coding (Rao & Ballard, 1999) and active inference (Friston, 2009, 2010).”
Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin
Borovikova, L. V., Ivanova, S., Zhang, M., Yang, H., Botchkina, G. I., Watkins, L. R., Wang, H., Abumrad, N., Eaton, J. W., & Tracey, K. J. (2000) · Nature · doi:10.1038/35013070 · Cited by 4,211 · see citing works
Porges, S. W. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2006.06.009 · Cited by 3,415 · see citing works
Neural systems supporting interoceptive awareness
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1176 · Cited by 3,406 · see citing works
The free-energy principle: a rough guide to the brain?
Friston, K. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.005 · Cited by 1,831 · see citing works
Interoceptive inference, emotion, and the embodied self
Seth, A. K. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.007 · Cited by 1,816 · cited 7× · see citing works
“…& Simmons, 2015; Chanes & Barrett, 2016; Critchley & Garfinkel, 2017; Gallagher & Allen, 2018; Gu, Hof, Friston, & Fan, 2013; Owens, Allen, Ondobaka, & Friston, 2018; Seth, 2013; Seth & Friston, 2016)), strong empirical evidence for interoceptive predictions or prediction errors is still lacking.”
InfluentialInteroceptive predictions in the brain
Barrett, L. F., & Simmons, W. K. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3950 · Cited by 1,766 · see citing works
Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness
Garfinkel, S. N., Seth, A. K., Barrett, A. B., Suzuki, K., & Critchley, H. D. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2014.11.004 · Cited by 1,624 · see citing works
Interoception and Mental Health: A Roadmap.
Khalsa, S. S., Adolphs, R., Cameron, O. G., Critchley, H. D., Davenport, P. W., Feinstein, J. S., Feusner, J. D., Garfinkel, S. N., Lane, R. D., Mehling, W. E., et al. (2018) · Biological psychiatry. Cognitive neuroscience and neuroimaging · doi:10.1016/j.bpsc.2017.12.004 · Cited by 1,453 · cited 2× · see citing works
“These conceptions provide a foundation for efforts towards a more mechanistic understanding of brain-body interactions (Henningsen et al., 2018; Khalsa et al., 2018; Owens, Friston, Low, Mathias, & Critchley, 2018; Petzschner et al., 2017; Seth & Friston, 2016; Smith, Thayer, Khalsa, & Lane, 2017;…”
Self-citationPerception as Bayesian Inference
(1996) · doi:10.1017/cbo9780511984037 · Cited by 1,425 · see citing works
Attention, uncertainty, and free-energy
Feldman, H., & Friston, K. J. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00215 · Cited by 1,365 · see citing works
The cognitive neuroscience of sustained attention: where top-down meets bottom-up.
Sarter, M., Givens, B., & Bruno, J. P. (2001) · Brain Research Reviews · doi:10.1016/s0165-0173(01)00044-3 · Cited by 1,194 · see citing works
How Do Expectations Shape Perception?
de Lange, F. P., Heilbron, M., & Kok, P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.06.002 · Cited by 975 · see citing works
Hierarchical Models in the Brain
Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000211 · Cited by 952 · see citing works
Interoception in anxiety and depression
Paulus, M. P., & Stein, M. B. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0258-9 · Cited by 952 · see citing works
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 · see citing works
Active interoceptive inference and the emotional brain
Seth, A. K., & Friston, K. J. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0007 · Cited by 945 · see citing works
Critchley, H. D., & Garfinkel, S. N. (2017) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2017.04.020 · Cited by 899 · see citing works
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · cited 1× · see citing works
“Imbalances in this precision weighting (or salience assignment) have been proposed as key mechanisms in predictive coding accounts of psychiatric diseases (Adams et al., 2013; Friston et al., 2014; Haker et al., 2016; Lawson et al., 2014; Quattrocki & Friston, 2014; Stephan et al., 2016).”
Self-citationDigital filter design for electrophysiological data – a practical approach
Widmann, A., Schröger, E., & Maeß, B. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.08.002 · Cited by 723 · see citing works
Anterior insular cortex and emotional awareness
Gu, X., Hof, P. R., Friston, K. J., & Fan, J. (2013) · Journal of Comparative Neurology · doi:10.1002/cne.23368 · Cited by 712 · see citing works
An aberrant precision account of autism
Lawson, R. P., Rees, G., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00302 · Cited by 641 · see citing works
Cooper, N. R., Croft, R. J., Dominey, S. J. J., Burgess, A., & Gruzelier, J. H. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(02)00107-1 · Cited by 615 · see citing works
Domschke, K., Stevens, S., Pfleiderer, B., & Gerlach, A. L. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.08.008 · Cited by 580 · see citing works
Churchill, A., Gutiérrez, G. D., Singer, R. A., Lorberbaum, D. S., Fischer, K. A., & Sussel, L. (2017) · eLife · doi:10.7554/elife.20010 · Cited by 543 · see citing works
Computational psychiatry: the brain as a phantastic organ
Friston, K. J., Stephan, K. E., Montague, R., & Dolan, R. J. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70275-5 · Cited by 531 · see citing works
Self-citationThe hierarchical basis of neurovisceral integration
Smith, R., Thayer, J. F., Khalsa, S. S., & Lane, R. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.003 · Cited by 523 · see citing works
Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression
Stephan, K. E., Manjaly, Z. M., Mathys, C. D., Weber, L. A. E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S. M., Haker, H., Seth, A. K., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00550 · Cited by 437 · cited 8× · see citing works
“…of ‘Bayesian brain’ ideas to the interoceptive domain is more recent (Ainley et al., 2016; Barrett & Simmons, 2015; Ondobaka, Kilner, & Friston, 2017; Petzschner et al., 2017; Quattrocki & Friston, 2014; Seth & Critchley, 2013; Seth & Friston, 2016; Seth et al., 2012; Stephan et al., 2016).”
InfluentialSelf-citationCerebral hierarchies: predictive processing, precision and the pulvinar
Kanai, R., Komura, Y., Shipp, S., & Friston, K. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0169 · Cited by 432 · see citing works
Attention reverses the effect of prediction in silencing sensory signals
Kok, P., Rahnev, D., Jehee, J. F. M., Lau, H. C., & de Lange, F. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr310 · Cited by 430 · see citing works
Contextual Feedback to Superficial Layers of V1
Muckli, L., De Martino, F., Vizioli, L., Petro, L. S., Smith, F. W., Ugurbil, K., Goebel, R., & Yacoub, E. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.057 · Cited by 423 · see citing works
Simmons, W. K., Avery, J. A., Barcalow, J. C., Bodurka, J., Drevets, W. C., & Bellgowan, P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22113 · Cited by 401 · see citing works
Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
Kok, P., Bains, L. J., van Mourik, T., Norris, D. G., & de Lange, F. P. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.038 · Cited by 397 · see citing works
Attention and conscious perception in the hypothesis testing brain
Hohwy, J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00096 · Cited by 396 · see citing works
Autism, oxytocin and interoception
Quattrocki, E., & Friston, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.09.012 · Cited by 393 · see citing works
From cognitivism to autopoiesis: towards a computational framework for the embodied mind
Allen, M., & Friston, K. J. (2018) · Synthese · doi:10.1007/s11229-016-1288-5 · Cited by 386 · see citing works
Can interoception improve the pragmatic search for biomarkers in psychiatry?
Khalsa, S. S., & Lapidus, R. C. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00121 · Cited by 366 · see citing works
Spontaneous fluctuations in neural responses to heartbeats predict visual detection
Park, H.-D., Correia, S., Ducorps, A., & Tallon-Baudry, C. (2014) · Nature Neuroscience · doi:10.1038/nn.3671 · Cited by 349 · see citing works
Heartbeat detection and the experience of emotions
Wiens, S., Mezzacappa, E. S., & Katkin, E. S. (2000) · Cognition & Emotion · doi:10.1080/026999300378905 · Cited by 347 · see citing works
Tanner, D., Morgan‐Short, K., & Luck, S. J. (2015) · Psychophysiology · doi:10.1111/psyp.12437 · Cited by 346 · see citing works
Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning
Iglesias, S., Mathys, C., Brodersen, K. H., Kasper, L., Piccirelli, M., den Ouden, H. E. M., & Stephan, K. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.009 · Cited by 342 · see citing works
Self-citationPollatos, O., & Schandry, R. (2004) · Psychophysiology · doi:10.1111/1469-8986.2004.00170.x · Cited by 330 · see citing works
A Bayesian perspective on magnitude estimation
Petzschner, F. H., Glasauer, S., & Stephan, K. E. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.03.002 · Cited by 327 · see citing works
Self-citationHenningsen, P., Gündel, H., Kop, W. J., Löwe, B., Martin, A., Rief, W., Rosmalen, J. G. M., Schröder, A., van der Feltz-Cornelis, C., & Van den Bergh, O. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000588 · Cited by 310 · see citing works
Towards a psychophysics of interoceptive processes: the measurement of heartbeat detection
Brener, J., & Ring, C. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0015 · Cited by 307 · see citing works
Expectation and Attention in Hierarchical Auditory Prediction
Chennu, S., Noreika, V., Gueorguiev, D., Blenkmann, A., Kochen, S., Ibanez, A., Owen, A. M., & Bekinschtein, T. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0114-13.2013 · Cited by 299 · see citing works
‘Bodily precision’: A predictive coding account of individual differences in interoceptive accuracy
Ainley, V., Apps, M. A. J., Fotopoulou, A., & Tsakiris, M. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0003 · Cited by 285 · see citing works
Ring, C., Brener, J., Knapp, K., & Mailloux, J. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2014.12.010 · Cited by 272 · see citing works
The Correction of Eye Blink Artefacts in the EEG: A Comparison of Two Prominent Methods
Hoffmann, S. F., & Falkenstein, M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003004 · Cited by 261 · see citing works
Pollatos, O., Kirsch, W., & Schandry, R. (2005) · Human Brain Mapping · doi:10.1002/hbm.20121 · Cited by 261 · see citing works
Computational approaches to psychiatry
Stephan, K. E., & Mathys, C. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.007 · Cited by 260 · see citing works
Self-citationRedefining the role of limbic areas in cortical processing
Chanes, L., & Barrett, L. F. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.005 · Cited by 259 · see citing works
From the heart to the brain: A study of heartbeat contingent scalp potentials
Schandry, R., Sparrer, B., & Weitkunat, R. (1986) · International Journal of Neuroscience · doi:10.3109/00207458608985677 · Cited by 252 · see citing works
Illusions, perception and Bayes
Geisler, W. S., & Kersten, D. (2002) · Nature Neuroscience · doi:10.1038/nn0602-508 · Cited by 249 · see citing works
Montoya, P., Schandry, R., & Müller, A. (1993) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(93)90001-6 · Cited by 239 · see citing works
Short, S. J., Stalder, T., Marceau, K., Entringer, S., Moog, N. K., Shirtcliff, E. A., Wadhwa, P. D., & Buss, C. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.05.007 · Cited by 239 · see citing works
Heartbeat evoked potentials mirror altered body perception in depressed patients
Terhaar, J., Viola, F. C., Bär, K., & Debener, S. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.02.086 · Cited by 238 · see citing works
Dunn, B. D., Stefanovitch, I., Evans, D., Oliver, C., Hawkins, A., & Dalgleish, T. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.07.006 · Cited by 235 · see citing works
Attentional modulation of primary interoceptive and exteroceptive cortices.
Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhr385 · Cited by 235 · see citing works
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study
Auksztulewicz, R., & Friston, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu323 · Cited by 227 · see citing works
Ring, C., & Brener, J. (2018) · Psychophysiology · doi:10.1111/psyp.13084 · Cited by 226 · see citing works
Cabrera, A., Kolacz, J., Pailhez, G., Bulbena‐Cabre, A., Bulbena, A., & Porges, S. W. (2018) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1596 · Cited by 224 · see citing works
Inferring on the intentions of others by hierarchical Bayesian learning
Diaconescu, A. O., Mathys, C., Weber, L. A. E., Daunizeau, J., Kasper, L., Lomakina, E. I., Fehr, E., & Stephan, K. E. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003810 · Cited by 219 · see citing works
Self-citationActive inference, enactivism and the hermeneutics of social cognition
Gallagher, S., & Allen, M. (2016) · Synthese · doi:10.1007/s11229-016-1269-8 · Cited by 218 · see citing works
Heartbeat perception in depression
Dunn, B. D., Dalgleish, T., Ogilvie, A. D., & Lawrence, A. D. (2007) · Behaviour Research and Therapy · doi:10.1016/j.brat.2006.09.008 · Cited by 218 · see citing works
García-Cordero, I., Sedeño, L., de la Fuente, L., Slachevsky, A., Forno, G., Klein, F., Lillo, P., Ferrari, J., Rodriguez, C., Bustin, J., et al. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0006 · Cited by 199 · see citing works
Neural signatures of perceptual inference
Sedley, W., Gander, P. E., Kumar, S., Kovach, C. K., Oya, H., Kawasaki, H., Howard, M. A., & Griffiths, T. D. (2016) · eLife · doi:10.7554/elife.11476 · Cited by 194 · see citing works
Park, H.-D., Bernasconi, F., Salomon, R., Tallon-Baudry, C., Spinelli, L., Seeck, M., Schaller, K., & Blanke, O. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx136 · Cited by 190 · see citing works
Enhanced cardiac perception is associated with benefits in decision‐making
Werner, N. S., Jung, K., Duschek, S., & Schandry, R. (2009) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00855.x · Cited by 189 · see citing works
Unexpected arousal modulates the influence of sensory noise on confidence
Allen, M., Frank, D., Schwarzkopf, D. S., Fardo, F., Winston, J. S., Hauser, T. U., & Rees, G. (2016) · eLife · doi:10.7554/elife.18103 · Cited by 182 · see citing works
Petzschner, F. H., Weber, L. A. E., Gard, T., & Stephan, K. E. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.012 · Cited by 181 · see citing works
Self-citationInteroceptive inference: From computational neuroscience to clinic
Owens, A. P., Allen, M., Ondobaka, S., & Friston, K. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.017 · Cited by 178 · see citing works
3.1 Using ICA for the Analysis of Multi-Channel EEG Data
Debener, S., Thorne, J. D., Schneider, T. R., & Viola, F. C. (2010) · doi:10.1093/acprof:oso/9780195372731.003.0008 · Cited by 169 · see citing works
Extending predictive processing to the body: Emotion as interoceptive inference
Seth, A. K., & Critchley, H. D. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12002270 · Cited by 164 · see citing works
Shape Perception Simultaneously Up- and Downregulates Neural Activity in the Primary Visual Cortex
Kok, P., & de Lange, F. P. (2014) · Current Biology · doi:10.1016/j.cub.2014.05.042 · Cited by 163 · see citing works
Expectations accelerate entry of visual stimuli into awareness
Pinto, Y., van Gaal, S., de Lange, F. P., Lamme, V. A. F., & Seth, A. K. (2015) · Journal of Vision · doi:10.1167/15.8.13 · Cited by 159 · see citing works
The role of interoceptive inference in theory of mind
Ondobaka, S., Kilner, J. M., & Friston, K. J. (2015) · Brain and Cognition · doi:10.1016/j.bandc.2015.08.002 · Cited by 150 · see citing works
Heartbeat detection: judgments of the simultaneity of external stimuli and heartbeats
Brener, J., & Kluvitse, C. (1988) · Psychophysiology · doi:10.1111/j.1469-8986.1988.tb01891.x · Cited by 150 · see citing works
Spatial attention, precision, and Bayesian inference: a study of saccadic response speed
Vossel, S., Mathys, C., Daunizeau, J., Bauer, M., Driver, J., Friston, K. J., & Stephan, K. E. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs418 · Cited by 146 · see citing works
Self-citationCanales-Johnson, A., Silva, C., Huepe, D., Rivera-Rei, Á., Noreika, V., Garcia, M. D. C., Silva, W., Ciraolo, C., Vaucheret, E., Sedeño, L., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv076 · Cited by 146 · see citing works
A hemodynamic model for layered BOLD signals
Heinzle, J., Koopmans, P. J., den Ouden, H. E. M., Raman, S., & Stephan, K. E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.025 · Cited by 144 · see citing works
Self-citationMüller, L. E., Schulz, A., Andermann, M., Gäbel, A., Gescher, D. M., Spohn, A., Herpertz, S. C., & Bertsch, K. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1252 · Cited by 141 · see citing works
Sedeño, L., Couto, B., Melloni, M., Canales‐Johnson, A., Yoris, A., Báez, S., Esteves, S., Toledo, M. M. V., Barttfeld, P., Sigman, M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098769 · Cited by 137 · see citing works
Attention Sharpens the Distinction between Expected and Unexpected Percepts in the Visual Brain
Jiang, J., Summerfield, C., & Egner, T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3308-13.2013 · Cited by 133 · see citing works
Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice?
Haker, H., Schneebeli, M., & Stephan, K. E. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00107 · Cited by 130 · cited 1× · see citing works
“Imbalances in this precision weighting (or salience assignment) have been proposed as key mechanisms in predictive coding accounts of psychiatric diseases (Adams et al., 2013; Friston et al., 2014; Haker et al., 2016; Lawson et al., 2014; Quattrocki & Friston, 2014; Stephan et al., 2016).”
Self-citationHierarchical prediction errors in midbrain and septum during social learning
Diaconescu, A. O., Mathys, C. D., Weber, L. A. E., Kasper, L., Mauer, J., & Stephan, K. E. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw171 · Cited by 130 · see citing works
Self-citationMelloni, M., Sedeño, L., Couto, B., Reynoso, M., Gelormini, C., Favaloro, R., Canales-Johnson, A., Sigman, M., Manes, F., & Ibanez, A. (2013) · Behavioral and Brain Functions · doi:10.1186/1744-9081-9-47 · Cited by 127 · see citing works
Visual Mismatch and Predictive Coding: A Computational Single-Trial ERP Study
Stefanics, G., Heinzle, J., Horvath, A. A., & Stephan, K. E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3365-17.2018 · Cited by 124 · see citing works
Self-citationStatistical parametric mapping for event-related potentials: I. Generic considerations
Kiebel, S. J., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.02.012 · Cited by 115 · see citing works
Schulz, A., Köster, S., Beutel, M. E., Schächinger, H., Vögele, C., Rost, S., Rauh, M., & Michal, M. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000195 · Cited by 115 · see citing works
García-Cordero, I., Esteves, S., Mikulan, E. P., Hesse, E., Baglivo, F. H., Silva, W., García, M. D. C., Vaucheret, E., Ciraolo, C., García, H. S., et al. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00411 · Cited by 115 · see citing works
Faull, O. K., & Pattinson, K. T. (2017) · eLife · doi:10.7554/elife.21749 · Cited by 110 · see citing works
The roles of interoceptive sensitivity and metacognitive interoception in panic
Yoris, A., Esteves, S., Couto, B., Melloni, M., Kichic, R., Cetkovich, M., Favaloro, R., Moser, J., Manes, F., Ibanez, A., et al. (2015) · Behavioral and Brain Functions · doi:10.1186/s12993-015-0058-8 · Cited by 101 · see citing works
Nonis, R., D’Ostilio, K., Schoenen, J. E., & Magis, D. (2017) · Cephalalgia · doi:10.1177/0333102417717470 · Cited by 93 · see citing works
Leopold, C., & Schandry, R. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00480-1 · Cited by 86 · see citing works
Schulz, A., Strelzyk, F., de Sá, D. S. F., Naumann, E., Vögele, C., & Schächinger, H. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.06.027 · Cited by 86 · see citing works
Laminar fMRI and computational theories of brain function
Stephan, K. E., Petzschner, F. H., Kasper, L., Bayer, J., Wellstein, K. V., Stefanics, G., Pruessmann, K. P., & Heinzle, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.001 · Cited by 82 · see citing works
Self-citationOwens, A. P., Friston, K. J., Low, D. A., Mathias, C. J., & Critchley, H. (2018) · Autonomic Neuroscience · doi:10.1016/j.autneu.2018.01.001 · Cited by 79 · see citing works
Baroreceptor activation attenuates attentional effects on pain-evoked potentials
Gray, M. A., Minati, L., Paoletti, G., & Critchley, H. (2010) · Pain · doi:10.1016/j.pain.2010.09.028 · Cited by 74 · see citing works
Interoceptive ability predicts aversion to losses
Sokol-Hessner, P., Hartley, C. A., Hamilton, J. R., & Phelps, E. A. (2015) · Cognition and Emotion · doi:10.1080/02699931.2014.925426 · Cited by 72 · see citing works
Hassanpour, M. S., Yan, L., Wang, D. J. J., Lapidus, R. C., Arevian, A. C., Simmons, W. K., Feusner, J. D., & Khalsa, S. S. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0017 · Cited by 70 · see citing works
Yoris, A., Abrevaya, S., Esteves, S., Salamone, P., Lori, N., Martorell, M., Legaz, A., Alifano, F., Petroni, A., Sánchez, R., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.23933 · Cited by 66 · see citing works
Cholinergic Stimulation Enhances Bayesian Belief Updating in the Deployment of Spatial Attention
Vossel, S., Bauer, M., Mathys, C. D., Adams, R. A., Dolan, R. J., Stephan, K. E., & Friston, K. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0091-14.2014 · Cited by 65 · see citing works
Self-citationBurger, A., Verkuil, B., Fenlon, H., Thijs, L., Cools, L., Miller, H. C., Vervliet, B., & Diest, I. V. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.07.005 · Cited by 65 · see citing works
Breathlessness and the body: Neuroimaging clues for the inferential leap
Harrison, O. K., Hayen, A., & Pattinson, K. T. S. (2017) · Cortex · doi:10.1016/j.cortex.2017.07.019 · Cited by 59 · see citing works
Marshall, A. C., Gentsch, A., Jelinčić, V., & Schütz‐Bosbach, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-16595-9 · Cited by 54 · see citing works
van Elk, M., Lenggenhager, B., Heydrich, L., & Blanke, O. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.03.004 · Cited by 53 · see citing works
Contextual processing of brightness and color in Mongolian gerbils
Garbers, C., Henke, J., Leibold, C., Wächtler, T., & Thurley, K. (2015) · Journal of Vision · doi:10.1167/15.1.13 · Cited by 48 · see citing works
Individual Differences in Cortical Evoked Potentials as a Function of Heartbeat Detection Ability
Katkin, E. S., Cestaro, V. L., & Weitkunat, R. (1991) · International Journal of Neuroscience · doi:10.3109/00207459108990745 · Cited by 47 · see citing works
Removal of ECG artifacts from EEG using a modified independent component analysis approach
Devuyst, S., Dutoit, T., Stenuit, P., Kerkhofs, M., & Stanus, E. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4650387 · Cited by 43 · see citing works
Dyspnoea modifies the recognition of fearful expressions by healthy humans
Vinckier, F., Morélot‐Panzini, C., & Similowski, T. (2018) · European Respiratory Journal · doi:10.1183/13993003.02253-2017 · Cited by 27 · see citing works
Azevedo, R. T., Aglioti, S. M., & Lenggenhager, B. (2016) · Scientific Reports · doi:10.1038/srep26545 · Cited by 21 · see citing works
Khalsa, S. S. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.07.041 · Cited by 1 · see citing works
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
Flagged first, then by citations
2 of the 122 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Brener, J., Ring, C., 1995. Sensory and perceptual factors in heartbeat detection. In: Schandry, D. (Ed.), Interoception and Cardiovascular Processes. Springer, Heidelberg.
- Katkin, E.S., Cestaro, V.L., Weitkunat, R., 1991b. Individual differences in cortical evoked potentials as a function of heartbeat detection ability. Int. J. Neurosci. 61 (3-4), 269-276. http://doi.org/10.3109/00207459108990745. · DOI
- Katkin, E.S., Reed, S.D., Deero, C., 1983. A methodological analysis of three techniques for the assessment of individual-differences in heartbeat detection. Psychophysiology 20 (4), 452, 452.
- Montoya, P., Schandry, R., Müller, A., 1993b. Heartbeat evoked potentials (HEP) : topography and influence of cardiac awareness and focus of attention. Electroencephalogr. Clin. Neurophysiol. 88, 163-172. http://doi.org/10.1016/0168- 5597(93)90001-6. · DOI · Paper page
- Petzschner, F.H., Weber, L.A.E., Wellstein, K.V., Paolini, G., Do, C.T., Stephan, K.E., 2018. Focus of attention modulates the heartbeat evoked potential. BioRxiv 384305.
- Pollatos, O., Kirsch, W., Schandry, R., 2005b. Brain structures involved in interoceptive awareness and cardioafferent signal processing: a dipole source localization study. Hum. Brain Mapp. 26 (1), 54-64. http://doi.org/10.1002/hbm.20121. · DOI · Paper page
- Pollatos, O., Schandry, R., 2004b. Accuracy of heartbeat perception is reflected in the amplitude of the heartbeat-evoked brain potential. Psychophysiology 41 (3), 476-482. http://doi.org/10.1111/1469-8986.2004.00170.x. · DOI · Paper page
- Schandry, R., Sparrer, B., Weitkunat, R., Sparrer, J., Weitkunat, R., 1986b. From the heart to the brain: a study of heartbeat contingent scalp potentials. Int. J. Neurosci. 30 (4), 261-275. http://doi.org/10.3109/00207458608985677. · DOI · Paper page
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Verdonk, C., Teed, A. R., White, E. J., Ren, X., Stewart, J. L., Paulus, M. P., & Khalsa, S. S. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01806-5 · Cited by 31 · see citing works
Wallman-Jones, A., Palser, E. R., Benzing, V., & Schmidt, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-19235-z · Cited by 31 · see citing works
Young, H. A., Gaylor, C. M., de‐Kerckhove, D., Watkins, H., & Benton, D. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.0244 · Cited by 31 · see citing works
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Ventura‐Bort, C., & Weymar, M. (2024) · Human Brain Mapping · doi:10.1002/hbm.26613 · Cited by 28 · see citing works
Schulz, A., Rost, S., Flasinski, T., Dierolf, A. M., Lutz, A., Münch, E. E., Mertens, V., Witthöft, M., & Vögele, C. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.110223 · Cited by 30 · see citing works
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Young, H. A., Davies, J., Freegard, G., & Benton, D. (2021) · Behavior Therapy · doi:10.1016/j.beth.2021.02.010 · Cited by 26 · see citing works
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Kim, J., & Jeong, B. (2019) · eNeuro · doi:10.1523/eneuro.0200-19.2019 · Cited by 26 · see citing works
Simor, P., Bogdány, T., Bódizs, R., & Perakakis, P. (2021) · SLEEP · doi:10.1093/sleep/zsab100 · Cited by 25 · see citing works
Interoceptive sensibility predicts the ability to infer others’ emotional states
Hübner, A. M., Trempler, I., Gietmann, C., & Schubotz, R. I. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258089 · Cited by 24 · see citing works
Gatus, A., Jamieson, G. A., & Stevenson, B. J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.744487 · Cited by 24 · see citing works
Ren, Q., Marshall, A. C., Kaiser, J., & Schütz‐Bosbach, S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119549 · Cited by 26 · see citing works
Todd, J., Cardellicchio, P., Swami, V., Cardini, F., & Aspell, J. E. (2021) · Cortex · doi:10.1016/j.cortex.2021.07.006 · Cited by 24 · see citing works
Desmedt, O., Heeren, A., Corneille, O., & Luminet, O. (2021) · doi:10.31234/osf.io/8mpz9 · Cited by 24 · see citing works
Kang, S. S., Sponheim, S. R., & Lim, K. O. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.10.005 · Cited by 23 · see citing works
Weijs, M. L., Daum, M. M., & Lenggenhager, B. (2023) · Psychophysiology · doi:10.1111/psyp.14386 · Cited by 22 · see citing works
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Kim, J., Park, H.-D., Kim, K. W., Shin, D. W., Lim, S., Kwon, H., Kim, M.-Y., Kim, K., & Jeong, B. (2019) · Scientific Reports · doi:10.1038/s41598-018-36498-7 · Cited by 22 · see citing works
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Haruki, Y., & Ogawa, K. (2023) · eNeuro · doi:10.1523/eneuro.0157-22.2023 · Cited by 21 · see citing works
Linking brain–heart interactions to emotional arousal in immersive virtual reality
Fourcade, A., Klotzsche, F., Hofmann, S., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2024) · Psychophysiology · doi:10.1111/psyp.14696 · Cited by 19 · see citing works
Li, H., Zhang, B., Hu, Q., Zhang, L., Jin, Y., Wang, J., Cui, H., Pang, J., & Li, C. (2020) · General Psychiatry · doi:10.1136/gpsych-2019-100057 · Cited by 20 · see citing works
Kamp, S., Schulz, A., Forester, G., & Domes, G. (2021) · Brain Research · doi:10.1016/j.brainres.2020.147238 · Cited by 20 · see citing works
Schulz, A., Dierolf, A. M., Lutz, A., Voderholzer, U., Koch, S., Bach, M., Asenstorfer, C., Michaux, G., Mertens, V., & Vögele, C. (2022) · Psychiatry Research Communications · doi:10.1016/j.psycom.2022.100052 · Cited by 20 · see citing works
Modulation of the heartbeat evoked cortical potential by hypnotizability and hypnosis
Callara, A. L., Fontanelli, L., Belcari, I., Rho, G., Greco, A., Zelič, Ž., Sebastiani, L., & Santarcangelo, E. L. (2023) · Psychophysiology · doi:10.1111/psyp.14309 · Cited by 19 · see citing works
Body as First Teacher: The Role of Rhythmic Visceral Dynamics in Early Cognitive Development
Corcoran, A. W., Perrykkad, K., Feuerriegel, D., & Robinson, J. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231185343 · Cited by 19 · see citing works
González‐Herrero, B., Happe, F. G. E., Nicholson, T. R., Morgante, F., Pagonabarraga, J., Deeley, Q., & Edwards, M. J. (2024) · Brain and Behavior · doi:10.1002/brb3.70168 · Cited by 20 · see citing works
Interoception and pain: body–mind integration, rupture, and repair
Garfinkel, S. N., & Eccleston, C. (2025) · Pain · doi:10.1097/j.pain.0000000000003515 · Cited by 21 · see citing works
Heartbeat evoked potentials (HEP) capture brain activity affecting subsequent heartbeat
Baranauskas, M., Grabauskaitė, A., Griškova-Bulanova, I., Lataitytė-Šimkevičienė, B., & Stanikūnas, R. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102731 · Cited by 18 · see citing works
Ren, Q., Marshall, A. C., Liu, J., & Schütz‐Bosbach, S. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120808 · Cited by 17 · see citing works
Verdonk, C., Trousselard, M., Luft, C. D. B., Medani, T., Billaud, J., Ramdani, C., Canini, F., Claverie, D., Jaumard‐Hakoun, A., & Vialatte, F. (2021) · Psychophysiology · doi:10.1111/psyp.13891 · Cited by 17 · see citing works
Hübner, A. M., Trempler, I., & Schubotz, R. I. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119524 · Cited by 18 · see citing works
Bauer, P. R., Sabourdy, C., Chatard, B., Rheims, S., Lachaux, J.-P., Vidal, J. R., & Antoine Lutz, A. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136345 · Cited by 15 · see citing works
Aberrant heartbeat-evoked potential in schizophrenia
Koreki, A., Ogyu, K., Miyazaki, T., Takenouchi, K., Matsushita, K., Honda, S., Koizumi, T., Onaya, M., Uchida, H., Mimura, M., et al. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.110969 · Cited by 16 · see citing works
Wareing, L., Readman, M. R., Longo, M. R., Linkenauger, S. A., & Crawford, T. J. (2024) · Brain Sciences · doi:10.3390/brainsci14060579 · Cited by 17 · see citing works
Strohman, A., Isaac, G., Payne, B., Verdonk, C., Khalsa, S. S., & Legon, W. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.09.006 · Cited by 19 · see citing works
Steinfath, T. P., Herzog, N., Fourcade, A., Sander, C., Nikulin, V. V., & Villringer, A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.30 · Cited by 14 · see citing works
Hodossy, L., Ainley, V., & Manos Tsakiris, A. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108198 · Cited by 13 · see citing works
The N400 indexes acquisition of novel emotion concepts via conceptual combination
Hoemann, K., Hartley, L., Watanabe, A., Leon, E. S., Katsumi, Y., Barrett, L. F., & Quigley, K. S. (2020) · Psychophysiology · doi:10.1111/psyp.13727 · Cited by 13 · see citing works
Human Consciousness: The Role of Cerebral and Cerebellar Cortex, Vagal Afferents, and Beyond
Abdulgader, A. A. A. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.95040 · Cited by 13 · see citing works
Campos, C., Rocha, N., & Barbosa, F. (2021) · doi:10.31234/osf.io/a7wdj · Cited by 13 · see citing works
Villena‐González, M., Rojas‐Thomas, F., Morales‐Torres, R., & López, V. (2023) · Psychophysiology · doi:10.1111/psyp.14277 · Cited by 12 · see citing works
Campos, C., Rocha, N., & Barbosa, F. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1082965 · Cited by 12 · see citing works
Cardiac interoception in Anorexia Nervosa: A resting‐state heartbeat‐evoked potential study
Cambi, S., Solcà, M., Micali, N., & Berchio, C. (2023) · European Eating Disorders Review · doi:10.1002/erv.3049 · Cited by 12 · see citing works
Zhou, M., Zhu, S., Xu, T., Wang, J., Zhuang, Q., Zhang, Y., Becker, B., Kendrick, K. M., & Yao, S. (2024) · Communications Biology · doi:10.1038/s42003-024-05792-8 · Cited by 12 · see citing works
Dohata, M., Kaneko, N., Takahashi, R., Suzuki, Y., & Nakazawa, K. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70021 · Cited by 12 · see citing works
Fló, E., Belloli, L. M. L., Cabana, Á., Ruyant-Belabbas, A., Jodaïtis, L., Denis-Valente, M., Rohaut, B., Naccache, L., Rosanova, M., Comanducci, A., et al. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae531 · Cited by 10 · see citing works
Heartbeat evoked potentials reflect interoceptive awareness during an emotional situation
Tanaka, Y., Ito, Y., Shibata, M., Terasawa, Y., & Umeda, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-92854-4 · Cited by 12 · see citing works
Majeed, U., Aftab, M. F., Baloch, D. M., Ahmed, S., Yusuf, I. M., Hasan, M. A., & Qureshi, M. S. (2021) · Journal of Religion and Health · doi:10.1007/s10943-021-01431-2 · Cited by 10 · see citing works
Haruki, Y., Kaneko, K., & Ogawa, K. (2025) · BMC Psychology · doi:10.1186/s40359-025-02432-6 · Cited by 10 · see citing works
- Authors
- Petzschner, F. H., Weber, L. A., Wellstein, K. V., Paolini, G., Do, C. T., & Stephan, K. E.
- Affiliations
- University of Zurich (CH)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Petzschner, Frederike H.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 186
- Pages
- 595-606
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2886679412
- Cited by
- 248
- References
- 122
- Citations by year
- 2026: 35 · 2025: 48 · 2024: 39 · 2023: 29 · 2022: 25 · 2021: 36 · 2020: 24 · 2019: 10 · 2018: 2
- FWCI
- 13.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-nd)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
- ETH Zürich Research Collection
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- René and Susanne Braginsky Foundation
- University of Zurich
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- heartbeat-evoked potentials, interoception, exteroception, attentional focus, predictive coding, heartbeat perception, EEG, interoceptive attention
- MeSH terms
- Adult, Attention, Cerebral Cortex, Electrocardiography, Electroencephalography, Evoked Potentials, Heart Rate, Humans, Male, Young Adult, Interoception
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