Identification of discrete functional subregions of the human periaqueductal gray
Open accessAbstract
Significance: The periaqueductal gray is a brainstem region that is critical for autonomic regulation and for defensive responses (e.g., “fight,” “flight,” “freeze”). It has been studied extensively in rodents and cats, but less is known about the human periaqueductal gray. The small size and shape of the periaqueductal gray makes it challenging to study using standard noninvasive MRI techniques. We used a high-field strength magnet to examine this region at high resolution while participants viewed emotionally aversive or neutral images. Emotion-related functional activity was concentrated in particular subregions and in ways that are consistent with neurobiological observations in nonhuman animals. This study establishes a technique to uncover the functional architecture of the periaqueductal gray in humans.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Functional magnetic resonance imaging studies performed while negatively arousing (aversive) stimuli, including pictures of mutilation and injury in humans, are being processed provide clear evidence of PAG activation and suggest increased functional connectivity between the amygdala and PAG, coupled with a bradycardic effect.
“Functional magnetic resonance imaging studies—performed while negatively arousing (aversive) stimuli, including pictures of mutilation and injury in humans, are being processed—provide clear evidence of PAG activation82,83 and suggest increased functional connectivity between the amygdala and PAG, coupled with a bradycardic effect.84”
From Fear and the Defense Cascade (2015) · cites this paper as [83]
Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
(2005) · CTIT technical reports series · Cited by 5,307 · see citing works
Statistical Parametric Mapping: The Analysis of Functional Brain Images
Penny, W. D., Friston, K. J., Ashburner, J., Kiebel, S. J., & Thomas, N. (2007) · UCL Discovery (University College London) · Cited by 3,339 · see citing works
Russell, J. A., & Barrett, L. F. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.5.805 · Cited by 3,121 · see citing works
Self-citationBayesian analysis of neuroimaging data in FSL
Woolrich, M., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T. E. J., Beckmann, C., Jenkinson, M., & Smith, S. M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.055 · Cited by 2,774 · see citing works
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 · cited 1× · see citing works
“To date, dozens of human neuroimaging studies have observed increased activation in the vicinity of the PAG during administration of painful and aversive stimuli (8, 12–16) and across a variety of emotional states (17).”
BackgroundSelf-citationSolving the Emotion Paradox: Categorization and the Experience of Emotion
Barrett, L. F. (2006) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr1001_2 · Cited by 1,679 · see citing works
Self-citationExploratory Factor Analysis With Small Sample Sizes
de Winter, J., Dodou, D., & Wieringa, P. A. (2009) · Multivariate Behavioral Research · doi:10.1080/00273170902794206 · Cited by 1,211 · see citing works
Drevets, W. C. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00203-8 · Cited by 1,146 · see citing works
Kober, H., Barrett, L. F., Joseph, J., Bliss-Moreau, E., Lindquist, K., & Wager, T. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.059 · Cited by 1,144 · see citing works
Self-citationColumnar organization in the midbrain periaqueductal gray: modules for emotional expression?
Bandler, R., & Shipley, M. T. (1994) · Trends in Neurosciences · doi:10.1016/0166-2236(94)90047-7 · Cited by 1,051 · see citing works
When fear is near: threat imminence elicits prefrontal periaqueductal gray shifts in humans.
Mobbs, D., Petrovic, P., Marchant, J. L., Hassabis, D., Weiskopf, N., Seymour, B., Dolan, R. J., & Frith, C. D. (2007) · Science · doi:10.1126/science.1144298 · Cited by 951 · see citing works
State-dependent opioid control of pain
Fields, H. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1431 · Cited by 946 · cited 3× · see citing works
“affective lives? Neurosci Biobehav Rev 35(9):1791–1804.”
BackgroundInfluentialFunctional characteristics of the midbrain periaqueductal gray.
Behbehani, M. M. (1995) · Progress in Neurobiology · doi:10.1016/0301-0082(95)00009-k · Cited by 879 · see citing works
Emotional category data on images from the international affective picture system
Mikels, J. A., Fredrickson, B. L., Samanez-Larkin, G. R., Lindberg, C. M., Maglio, S. J., & Reuter‐Lorenz, P. A. (2005) · Behavior Research Methods · doi:10.3758/bf03192732 · Cited by 675 · see citing works
Central circuits mediating patterned autonomic activity during active vs. passive emotional coping
Bandler, R., Keay, K. A., Floyd, N., & Price, J. (2000) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00313-0 · Cited by 582 · see citing works
Imaging attentional modulation of pain in the periaqueductal gray in humans
Tracey, I., Ploghaus, A., Gati, J. S., Clare, S., Smith, S., Menon, R. S., & Matthews, P. M. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-07-02748.2002 · Cited by 569 · see citing works
The basic emotional circuits of mammalian brains: Do animals have affective lives?
Panksepp, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.08.003 · Cited by 562 · see citing works
Barrett, L. F. (2012) · Emotion · doi:10.1037/a0027555 · Cited by 503 · see citing works
Self-citationRizvi, T. A., Ennis, M., Behbehani, M. M., & Shipley, M. T. (1991) · Journal of Comparative Neurology · doi:10.1002/cne.903030111 · Cited by 500 · see citing works
Imaging brain function in humans at 7 Tesla
Yacoub, E., Shmuel, A., Pfeuffer, J., Van De Moortele, P., Adriany, G., Andersen, P., Vaughan, J. T., Merkle, H., Ugurbil, K., & Hu, X. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1080 · Cited by 448 · see citing works
Grounding emotion in situated conceptualization
Wilson‐Mendenhall, C. D., Barrett, L. F., Simmons, W. K., & Barsalou, L. W. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.12.032 · Cited by 434 · see citing works
Self-citationNon-white noise in fMRI: Does modelling have an impact?
Lund, T. E., Madsen, K. H., Sidaros, K., Luo, W., & Nichols, T. E. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.005 · Cited by 414 · see citing works
The Midbrain Periaqueductal Gray as a Coordinator of Action in Response to Fear and Anxiety
Fanselow, M. S. (1991) · Springer eBooks · doi:10.1007/978-1-4615-3302-3_10 · Cited by 405 · see citing works
Neuroimaging of the periaqueductal gray: State of the field
Linnman, C., Moulton, E. A., Barmettler, G., Becerra, L. R., & Borsook, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.095 · Cited by 402 · see citing works
Deep brain stimulation for pain relief: A meta-analysis
Bittar, R. G., Kar-Purkayastha, I., Owen, S. L. F., Bear, R. E., Green, A. L., Wang, S., & Aziz, T. Z. (2005) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2004.10.005 · Cited by 397 · see citing works
Localization of Cardiac-Induced Signal Change in fMRI
Dagli, M. S., Ingeholm, J. E., & Haxby, J. V. (1999) · NeuroImage · doi:10.1006/nimg.1998.0424 · Cited by 385 · see citing works
32‐channel 3 Tesla receive‐only phased‐array head coil with soccer‐ball element geometry
Wiggins, G. C., Triantafyllou, C., Potthast, A., Reykowski, A., Nittka, M., & Wald, L. L. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20925 · Cited by 375 · see citing works
Self-citationPsychophysiological responses as indices of affective dimensions
VanOYEN WITVLIET, C., & VRANA, S. R. (1995) · Psychophysiology · doi:10.1111/j.1469-8986.1995.tb02094.x · Cited by 310 · see citing works
Neurological diseases and pain
Borsook, D. (2011) · Brain · doi:10.1093/brain/awr271 · Cited by 283 · see citing works
Increased sensitivity in neuroimaging analyses using robust regression
Wager, T. D., Keller, M. C., Lacey, S. C., & Jonides, J. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.011 · Cited by 283 · see citing works
Self-citationNociceptive processing in the human brain
Tracey, I. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.06.010 · Cited by 278 · see citing works
The future of ultra-high field MRI and fMRI for study of the human brain
Duyn, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.065 · Cited by 260 · see citing works
Neural Evidence That Human Emotions Share Core Affective Properties
Wilson‐Mendenhall, C. D., Barrett, L. F., & Barsalou, L. W. (2013) · Psychological Science · doi:10.1177/0956797612464242 · Cited by 237 · see citing works
Self-citationOf Mice and Men: Natural Kinds of Emotions in the Mammalian Brain? A Response to Panksepp and Izard
Barrett, L. F., Lindquist, K. A., Bliss‐Moreau, E., Duncan, S., Gendron, M., Mize, J., & Brennan, L. E. (2007) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2007.00046.x · Cited by 227 · see citing works
Self-citationFunctional mapping in the human brain using high magnetic fields
Uǧurbil, K., Hu, X. P., Chen, W., Zhu, X.-H., Kim, S., & Georgopoulos, A. P. (1999) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1999.0474 · Cited by 153 · see citing works
Neuroanatomical targets of anxiogenic drugs in the hindbrain as revealed by Fos immunocytochemistry
Singewald, N., & Sharp, T. (2000) · Neuroscience · doi:10.1016/s0306-4522(00)00177-9 · Cited by 145 · see citing works
Moss, M., Glazer, E. J., & Basbaum, A. I. (1983) · Journal of Neuroscience · doi:10.1523/jneurosci.03-03-00603.1983 · Cited by 132 · see citing works
Functional neuroanatomy of autonomic regulation
Cechetto, D. F., & Shoemaker, J. K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.024 · Cited by 107 · see citing works
Common representation of pain and negative emotion in the midbrain periaqueductal gray
Buhle, J. T., Kober, H., Ochsner, K. N., Mende-Siedlecki, P., Weber, J., Hughes, B. L., Kross, E., Atlas, L. Y., McRae, K., & Wager, T. D. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss038 · Cited by 100 · see citing works
Self-citationHuman anterior and posterior hippocampus respond distinctly to state and trait anxiety.
Satpute, A. B., Mumford, J. A., Naliboff, B. D., & Poldrack, R. A. (2012) · Emotion · doi:10.1037/a0026517 · Cited by 99 · see citing works
Self-citationMoss, M., & Basbaum, A. I. (1983) · Journal of Neuroscience · doi:10.1523/jneurosci.03-07-01437.1983 · Cited by 87 · see citing works
Intensity inhomogeneity correction of multispectral MR images
Vovk, U., Pernuš, F., & Likar, B. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.020 · Cited by 60 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The neuroscience of placebo effects: connecting context, learning and health
Wager, T. D., & Atlas, L. Y. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3976 · Cited by 844 · see citing works
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 · see citing works
Self-citationFreeze for action: neurobiological mechanisms in animal and human freezing
Roelofs, K. (2017) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0206 · Cited by 616 · see citing works
The 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
Kozlowska, K., Walker, P., McLean, L., & Carrive, P. (2015) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000065 · Cited by 468 · see citing works
Updating freeze: Aligning animal and human research
Hagenaars, M. A., Oitzl, M., & Roelofs, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.07.021 · Cited by 260 · see citing works
Representation of aversive prediction errors in the human periaqueductal gray
Roy, M., Shohamy, D., Daw, N., Jepma, M., Wimmer, G. E., & Wager, T. D. (2014) · Nature Neuroscience · doi:10.1038/nn.3832 · Cited by 246 · see citing works
Self-citationThe neural basis of one's own conscious and unconscious emotional states
Smith, R. S., & Lane, R. D. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.003 · Cited by 240 · see citing works
Dispositional negativity: An integrative psychological and neurobiological perspective
Shackman, A., Tromp, D., Stockbridge, M., Kaplan, C. M., Tillman, R., & Fox, A. (2016) · Psychological bulletin · doi:10.1037/bul0000073 · Cited by 218 · see citing works
The Brainstem in Emotion: A Review
Venkatraman, A., Edlow, B. L., & Immordino‐Yang, M. H. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00015 · Cited by 227 · see citing works
Interactions between brain and spinal cord mediate value effects in nocebo hyperalgesia
Tinnermann, A., Geuter, S., Sprenger, C., Finsterbusch, J., & Büchel, C. (2017) · Science · doi:10.1126/science.aan1221 · Cited by 208 · see citing works
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 · see citing works
Self-citationPanksepp, J., Lane, R. D., Solms, M., & Smith, R. S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.010 · Cited by 167 · see citing works
Challenges and opportunities for brainstem neuroimaging with ultrahigh field MRI
Sclocco, R., Beißner, F., Bianciardi, M., Polimeni, J. R., & Napadow, V. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.052 · Cited by 163 · see citing works
Self-citationAnalysis strategies for high-resolution UHF-fMRI data
Polimeni, J. R., Renvall, V., Zaretskaya, N., & Fischl, B. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.053 · Cited by 126 · see citing works
Intrinsic functional connectivity of periaqueductal gray subregions in humans
Coulombe, M., Erpelding, N., Kucyi, A., & Davis, K. D. (2016) · Human Brain Mapping · doi:10.1002/hbm.23117 · Cited by 123 · see citing works
Common and stimulus-type-specific brain representations of negative affect
Čeko, M., Kragel, P. A., Woo, C., López‐Solà, M., & Wager, T. D. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01082-w · Cited by 116 · see citing works
Self-citationBianciardi, M., Toschi, N., Edlow, B. L., Eichner, C., Setsompop, K., Polimeni, J. R., Brown, E. N., Kinney, H. C., Rosen, B. R., & Wald, L. L. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0347 · Cited by 122 · see citing works
Self-citationThe midbrain periaqueductal gray as an integrative and interoceptive neural structure for breathing
Harrison, O. K., Subramanian, H. H., Ezra, M., & Pattinson, K. T. S. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.12.020 · Cited by 116 · see citing works
Recent applications of UHF‐MRI in the study of human brain function and structure: a review
van der Zwaag, W., Andreas Schäfer, A., Marques, J. P., Turner, R., & Trampel, R. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3275 · Cited by 111 · see citing works
Deconstructing arousal into wakeful, autonomic and affective varieties
Satpute, A. B., Kragel, P. A., Barrett, L. F., Wager, T. D., & Bianciardi, M. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.01.042 · Cited by 107 · see citing works
Self-citationFaull, O. K., & Pattinson, K. T. (2017) · eLife · doi:10.7554/elife.21749 · Cited by 110 · see citing works
Rapid brain MRI acquisition techniques at ultra‐high fields
Setsompop, K., Feinberg, D. A., & Polimeni, J. R. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3478 · Cited by 106 · see citing works
Periaqueductal Gray Sheds Light on Dark Areas of Psychopathology
George, D. T., Ameli, R., & Koob, G. F. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.03.004 · Cited by 103 · see citing works
Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE
Zaretskaya, N., Fischl, B. R., Reuter, M., Renvall, V., & Polimeni, J. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.060 · Cited by 104 · see citing works
Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response
Polimeni, J. R., & Lewis, L. D. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102174 · Cited by 104 · see citing works
Neural Dynamics of Shooting Decisions and the Switch from Freeze to Fight
Hashemi, M. M., Gladwin, T. E., de Valk, N. M., Zhang, W., Kaldewaij, R., van Ast, V. A., Koch, S. B. J., Klumpers, F., & Roelofs, K. (2019) · Scientific Reports · doi:10.1038/s41598-019-40917-8 · Cited by 105 · see citing works
Intergenerational neural mediators of early-life anxious temperament
Fox, A. S., Oler, J. A., Shackman, A. J., Shelton, S. E., Raveendran, M., McKay, D., Converse, A. K., Alexander, A. L., Davidson, R. J., Blangero, J., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508593112 · Cited by 98 · see citing works
Resting state connectivity of the bed nucleus of the stria terminalis at ultra‐high field
Torrisi, S., O’Connell, K., Davis, A., Reynolds, R. C., Balderston, N. L., Fudge, J. L., Grillon, C., & Monique Ernst, D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22899 · Cited by 98 · see citing works
Brain Network Reconfiguration and Perceptual Decoupling During an Absorptive State of Consciousness
Hove, M. J., Stelzer, J., Nierhaus, T., Thiel, S. D., Gundlach, C., Margulies, D. S., Van Dijk, K. R. A., Turner, R., Keller, P. E., & Merker, B. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv137 · Cited by 97 · see citing works
Dopamine tunes prefrontal outputs to orchestrate aversive processing
Weele, C. M. V., Siciliano, C. A., & Tye, K. M. (2018) · Brain Research · doi:10.1016/j.brainres.2018.11.044 · Cited by 89 · see citing works
Intrinsic functional connectivity of the central extended amygdala
Tillman, R. M., Stockbridge, M. D., Nacewicz, B. M., Torrisi, S., Fox, A. S., Smith, J. F., & Shackman, A. J. (2017) · Human Brain Mapping · doi:10.1002/hbm.23917 · Cited by 85 · see citing works
Relevance of parahippocampal-locus coeruleus connectivity to memory in early dementia
Jacobs, H. I. L., Wiese, S., van de Ven, V. G., Gronenschild, E. H. B. M., Verhey, F. R. J., & Matthews, P. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.10.041 · Cited by 83 · see citing works
Lewis, L. D., Setsompop, K., Rosen, B. R., & Polimeni, J. R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.056 · Cited by 81 · see citing works
Raison, C. L., Hale, M. W., Williams, L. E., Wager, T. D., & Lowry, C. A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01580 · Cited by 76 · see citing works
Self-citationConditioned respiratory threat in the subdivisions of the human periaqueductal gray
Faull, O. K., Jenkinson, M., Ezra, M., & Pattinson, K. T. (2016) · eLife · doi:10.7554/elife.12047 · Cited by 77 · see citing works
Integrating brainstem and cortical functional architectures
Hansen, J. Y., Cauzzo, S., Singh, K., García‐Gomar, M. G., Shine, J. M., Bianciardi, M., & Mišić, B. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01787-0 · Cited by 83 · see citing works
Self-citationTourette syndrome: a disorder of the social decision-making network
Albin, R. L. (2017) · Brain · doi:10.1093/brain/awx204 · Cited by 77 · see citing works
Functional subdivision of the human periaqueductal grey in respiratory control using 7tesla fMRI
Harrison, O. K., Jenkinson, M., Clare, S., & Pattinson, K. T. S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.026 · Cited by 74 · see citing works
Ventrolateral periaqueductal gray neurons prioritize threat probability over fear output
Wright, K. M., & McDannald, M. A. (2019) · eLife · doi:10.7554/elife.45013 · Cited by 64 · see citing works
Bianciardi, M., Toschi, N., Eichner, C., Polimeni, J. R., Setsompop, K., Brown, E. N., Hämäläinen, M., Rosen, B. R., & Wald, L. L. (2016) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-016-0546-3 · Cited by 69 · see citing works
Self-citationAversive stimuli exacerbate defensive motor behaviour in motor conversion disorder
Blakemore, R. L., Sinanaj, I., Galli, S., Aybek, S., & Vuilleumier, P. O. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.11.005 · Cited by 69 · see citing works
Multiple Brain Networks Mediating Stimulus–Pain Relationships in Humans
Geuter, S., Losin, E. A. R., Roy, M., Atlas, L. Y., Schmidt, L., Krishnan, A., Koban, L., Wager, T. D., & Lindquist, M. A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa048 · Cited by 65 · see citing works
Self-citationCauzzo, S., Singh, K., Stauder, M. J., García‐Gomar, M. G., Vanello, N., Passino, C., Staab, J. P., Indovina, I., & Bianciardi, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118925 · Cited by 67 · see citing works
Self-citationBrainstem neuroimaging of nociception and pain circuitries
Napadow, V., Sclocco, R., & Henderson, L. A. (2019) · PAIN Reports · doi:10.1097/pr9.0000000000000745 · Cited by 64 · see citing works
Crawford, L. S., Mills, E. P., Hanson, T., Macey, P. M., Glarin, R., Macefield, V. G., Keay, K. A., & Henderson, L. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0806-21.2021 · Cited by 90 · see citing works
Pulse sequences and parallel imaging for high spatiotemporal resolution MRI at ultra-high field
Poser, B. A., & Setsompop, K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.006 · Cited by 62 · see citing works
An Emotional Call to Action: Integrating Affective Neuroscience in Models of Motor Control
Blakemore, R. L., & Vuilleumier, P. O. (2017) · Emotion Review · doi:10.1177/1754073916670020 · Cited by 59 · see citing works
Functional Involvement of Human Periaqueductal Gray and Other Midbrain Nuclei in Cognitive Control
Kragel, P. A., Bianciardi, M., Hartley, L., Matthewson, G., Choi, J., Quigley, K. S., Wald, L. L., Wager, T. D., Barrett, L. F., & Satpute, A. B. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2043-18.2019 · Cited by 60 · see citing works
Self-citationDissociable neural systems for unconditioned acute and sustained fear
Hudson, M., Seppälä, K., Putkinen, V., Sun, L., Glerean, E., Karjalainen, T., Karlsson, H. K., Hirvonen, J., & Nummenmaa, L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116522 · Cited by 54 · see citing works
Singh, K., Indovina, I., Augustinack, J. C., Nestor, K., García‐Gomar, M. G., Staab, J. P., & Bianciardi, M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01425 · Cited by 55 · see citing works
Self-citationVisualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging
Keuken, M. C., Isaacs, B. R., Trampel, R., van der Zwaag, W., & Forstmann, B. U. (2018) · Brain Topography · doi:10.1007/s10548-018-0638-7 · Cited by 55 · see citing works
Prefrontal–Bed Nucleus Circuit Modulation of a Passive Coping Response Set
Johnson, S. B., Emmons, E. B., Lingg, R. T., Anderson, R. M., Romig‐Martin, S. A., LaLumiere, R. T., Narayanan, N. S., Viau, V., & Radley, J. J. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1421-18.2018 · Cited by 54 · see citing works
Sclocco, R., Beißner, F., Desbordes, G., Polimeni, J. R., Wald, L. L., Kettner, N. W., Kim, J., Garcia, R. G., Renvall, V., Bianchi, A. M., et al. (2016) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2015.0189 · Cited by 53 · see citing works
Self-citationMeyer, C., Padmala, S., & Pessoa, L. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01363 · Cited by 52 · see citing works
Singh, K., Cauzzo, S., García‐Gomar, M. G., Stauder, M. J., Vanello, N., Passino, C., & Bianciardi, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118865 · Cited by 52 · see citing works
Self-citationEmotions in reading: Dissociation of happiness and positivity
Briesemeister, B. B., Kuchinke, L., Jacobs, A. M., & Braun, M. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0327-2 · Cited by 52 · see citing works
Thompkins, A. M., Deshpande, G., Waggoner, P., & Katz, J. S. (2016) · Comparative Cognition & Behavior Reviews · doi:10.3819/ccbr.2016.110004 · Cited by 44 · see citing works
Neuropeptide S- and Neuropeptide S receptor-expressing neuron populations in the human pons
Ádori, C., Barde, S. S., Bogdanović, N., Uhlén, M., Reinscheid, R. R., Kovács, G. G., & Hökfelt, T. G. M. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00126 · Cited by 42 · see citing works
Jang, S. H., Park, S. M., & Kwon, H. G. (2016) · Medicine · doi:10.1097/md.0000000000004017 · Cited by 42 · see citing works
Neuroimaging mechanisms in pain: from discovery to translation
Tracey, I. (2017) · Pain · doi:10.1097/j.pain.0000000000000863 · Cited by 44 · see citing works
Fenske, S. J., Bierer, D. W., Chelimsky, G. G., Conant, L. L., Ustine, C., Yan, K., Chelimsky, T. C., & Kutch, J. J. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102443 · Cited by 38 · see citing works
Pain Neuroimaging in Humans: A Primer for Beginners and Non-Imagers
Moayedi, M., Salomons, T. V., & Atlas, L. Y. (2018) · Journal of Pain · doi:10.1016/j.jpain.2018.03.011 · Cited by 36 · see citing works
Chang, C. E., Raven, E. P., & Duyn, J. H. (2016) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2015.0188 · Cited by 35 · see citing works
Visuocortical changes during a freezing-like state in humans
Lojowska, M., Ling, S., Roelofs, K., & Hermans, E. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.013 · Cited by 33 · see citing works
The Periaqueductal Gray and Its Extended Participation in Drug Addiction Phenomena
Vázquez-León, P., Miranda-Páez, A., Chávez‐Reyes, J., Allende, G., Barragán‐Iglesias, P., & Marichal‐Cancino, B. A. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00756-y · Cited by 33 · see citing works
Subcortical contributions to salience network functioning during negative emotional processing
Ince, S., Steward, T., Harrison, B. J., Jamieson, A. J., Davey, C. G., Agathos, J. A., Moffat, B. A., Glarin, R. K., & Felmingham, K. L. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119964 · Cited by 33 · see citing works
Fontes, M. A. P., Filho, M. L., Machado, N., de Paula, C. A., Cordeiro, L. M. S., Xavier, C. H., Marins, F. R., Henderson, L. A., & Macefield, V. G. (2017) · Autonomic Neuroscience · doi:10.1016/j.autneu.2017.01.001 · Cited by 31 · see citing works
The impact of sociality and affective valence on brain activation: A meta-analysis
Atzil, S., Satpute, A. B., Zhang, J., Parrish, M. H., Shablack, H., MacCormack, J. K., Leshin, J. C., Goel, S. S., Brooks, J. A., Kang, J., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119879 · Cited by 30 · see citing works
Self-citationDistinct networks of periaqueductal gray columns in pain and threat processing
Wang, S., Veinot, J., Goyal, A., Khatibi, A., Lazar, S. W., & Hashmi, J. A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118936 · Cited by 30 · see citing works
Blakemore, R. L., Rieger, S. W., & Vuilleumier, P. O. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.029 · Cited by 30 · see citing works
Cortical and subcortical mapping of the human allostatic–interoceptive system using 7 Tesla fMRI
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. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02087-x · Cited by 46 · see citing works
Self-citationUltra High Field fMRI of Human Superior Colliculi Activity during Affective Visual Processing
Wang, Y. C., Bianciardi, M., Chanes, L., & Satpute, A. B. (2020) · Scientific Reports · doi:10.1038/s41598-020-57653-z · Cited by 26 · see citing works
Self-citationImaging Acute and Chronic Pain in the Human Brainstem and Spinal Cord
Henderson, L. A., & Keay, K. A. (2017) · The Neuroscientist · doi:10.1177/1073858417703911 · Cited by 24 · see citing works
The rostromedial tegmental nucleus modulates the development of stress-induced helpless behavior
Elmer, G. I., Palacorolla, H., Mayo, C. L., Brown, P. L., Jhou, T. C., Brady, D. L., & Shepard, D. S. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.06.014 · Cited by 23 · see citing works
Regional brain responses in humans during body heating and cooling
Farrell, M. J. (2016) · Temperature · doi:10.1080/23328940.2016.1174794 · Cited by 22 · see citing works
Serrano‐Muñoz, D., Galán-Arriero, I., Ávila-Martín, G., Gómez‐Soriano, J., Florensa, J., Peris, A. G., Romero-Muñoz, L. M., Barriga-Martín, A., & Taylor, J. (2019) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000722 · Cited by 21 · see citing works
How Does the Body Affect the Mind? Role of Cardiorespiratory Coherence in the Spectrum of Emotions.
Jerath, R., & Crawford, M. W. (2015) · PubMed · Cited by 21 · see citing works
Brainstem networks construct threat probability and prediction error from neuronal building blocks
Strickland, J. A., & McDannald, M. A. (2022) · Nature Communications · doi:10.1038/s41467-022-34021-1 · Cited by 20 · see citing works
Bortolini, T., Laport, M. C., Latgé-Tovar, S., Fischer, R. D., Zahn, R., de Oliveira‐Souza, R., & Moll, J. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105584 · Cited by 20 · see citing works
Webb, E. K., Huggins, A. A., Belleau, E. L., Taubitz, L. E., Hanson, J. L., deRoon‐Cassini, T. A., & Larson, C. L. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.03.004 · Cited by 18 · see citing works
Improving sensitivity, specificity, and reproducibility of individual brainstem activation
Matt, E., Fischmeister, F. P. S., Amini, A., Robinson, S., Weber, A., Foki, T., Gizewski, E. R., & Beisteiner, R. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01936-3 · Cited by 18 · see citing works
Forcelli, P. A., Waguespack, H. F., & Málková, L. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00163 · Cited by 17 · see citing works
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 · see citing works
Self-citationZelena, D., Menant, O., Andersson, F., & Chaillou, É. (2018) · Endocrine Regulations · doi:10.2478/enr-2018-0027 · Cited by 16 · see citing works
Language Comprehension and Emotion
Berkum, J. J. A. V. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190672027.013.29 · Cited by 17 · see citing works
Key role of 5-HT 3 receptors in the nucleus tractus solitarii in cardiovagal stress reactivity
Sévoz‐Couche, C., & Brouillard, C. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.04.014 · Cited by 15 · see citing works
Cue-elicited functional connectivity of the periaqueductal gray and tonic cocaine craving
Zhang, S., Zhornitsky, S., Wang, W., Dhingra, I., Le, T. M., & Li, C. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108240 · Cited by 17 · see citing works
Neural mediators of subjective and autonomic responding during threat learning and regulation
Savage, H. S., Davey, C. G., Wager, T. D., Garfinkel, S. N., Moffat, B. A., Glarin, R. K., & Harrison, B. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118643 · Cited by 14 · see citing works
Self-citationHow emotion context modulates unconscious goal activation during motor force exertion
Blakemore, R. L., Neveu, R., & Vuilleumier, P. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.002 · Cited by 15 · see citing works
Sex Differences of Periaqueductal Grey Matter Functional Connectivity in Migraine
Gecse, K., Baksa, D., Dobos, D., Aranyi, C., Galambos, A., Kocsel, N., Szabó, E., Kökönyei, G., Emri, M., Bagdy, G., et al. (2021) · Frontiers in Pain Research · doi:10.3389/fpain.2021.767162 · Cited by 15 · see citing works
A 7-Tesla MRI study of the periaqueductal gray: resting state and task activation under threat
Weis, C., Bennett, K. P., Huggins, A. A., Parisi, E. A., Gorka, S. M., & Larson, C. L. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab085 · Cited by 13 · see citing works
Functional representation of trigeminal nociceptive input in the human periaqueductal gray
Mehnert, J., Tinnermann, A., Basedau, H., & May, A. (2024) · Science Advances · doi:10.1126/sciadv.adj8213 · Cited by 12 · see citing works
Chen, F., Zhang, S., Li, P., Xu, K., Chengxiang, L., Geng, B., Piao, R., & Liu, P. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2023.03.002 · Cited by 12 · see citing works
Emotion Perception and Elicitation
Meaux, E., & Vuilleumier, P. O. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00159-7 · Cited by 10 · see citing works
Neural Predictors of Fear Depend on the Situation
Wang, Y., Kragel, P. A., & Satpute, A. B. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0142-23.2024 · Cited by 11 · see citing works
Self-citationNovelty and fear conditioning induced gene expression in high and low states of anxietyPreprint
Donley, M. P., & Rosen, J. B. (2017) · Learning & Memory · doi:10.1101/lm.044289.116 · Cited by 11 · see citing works
The mesencephalic GCt–ICo complex and tonic immobility in pigeons (Columba livia): a c-Fos study
Melleu, F. F., Lino-de-Oliveira, C., & Marino–Neto, J. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1275-0 · Cited by 10 · see citing works
Flanigan, M. E., Gianessi, C. A., Castle, M., Dorlean, W., Sides, T. R., & Kash, T. L. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01753-7 · Cited by 9 · see citing works
- Authors
- Satpute, A. B., Wager, T. D., Cohen-Adad, J., Bianciardi, M., Choi, J.-K., Buhle, J. T., Wald, L. L., & Barrett, L. F.
- Affiliations
- Northeastern University (US)
- University of Colorado Boulder (US)
- Department of Electrical Engineering, École Polytechnique de Montréal, Montreal, QC, Canada H3T 1J4;
- Departments of dRadiology and
- Columbia University (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-09-30
- Volume
- 110
- Issue
- 42
- Pages
- 17101-17106
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3801046
- OpenAlex
- W2100827912
- Cited by
- 131
- References
- 44
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 9 · 2022: 10 · 2021: 8 · 2020: 11 · 2019: 9 · 2018: 14 · 2017: 19 · 2016: 17 · 2015: 15 · 2014: 5
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Funders
- U.S. Department of Defense
- Massachusetts General Hospital (P41EB015896)
- Centre d'Imagerie BioMédicale
- National Institutes of Health (1s10rr019307-01, DP1OD003312, 1s10rr023043-01)
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (P41-EB015896, S10 RR023401)
- National Institute of Mental Health (R01MH076136, R21MH082308)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015896)
- National Center for Research Resources (S10-RR019307, S10-RR-023043, S10RR023401)
- Army Research Institute for the Behavioral and Social Sciences (W5J9CQ-11-C-0046)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- periaqueductal gray, midbrain, rostrocaudal axis, dorsal-ventral axis, anger, sadness, survival response
- MeSH terms
- Adult, Anger, Female, Humans, Magnetic Resonance Imaging, Male, Mesencephalon, Radiography, Stress, Physiological
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
