Emotion and the Interactive Brain: Insights From Comparative Neuroanatomy and Complex Systems
Open accessAbstract
Although emotion is closely associated with motivation, and interacts with perception, cognition, and action, many conceptualizations still treat emotion as separate from these domains. Here, a comparative/evolutionary anatomy framework is presented to motivate the idea that long-range, distributed circuits involving the midbrain, thalamus, and forebrain are central to emotional processing. It is proposed that emotion can be understood in terms of large-scale network interactions spanning the neuroaxis that form “functionally integrated systems.” At the broadest level, the argument is made that we need to move beyond a Newtonian view of causation to one involving complex systems where bidirectional influences and nonlinearities abound. Therefore, understanding interactions between subsystems and signal integration becomes central to unraveling the organization of the emotional brain.
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Emotional responses to a stimulus vary with time and context.
“Emotional responses to a stimulus also vary with time and context.”
From A Taxonomy of Social Errors in Human-Robot Interaction (2021) · cites this paper as [134]
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Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 1× · see citing works
“…that is centered on these types of interactions, several of which have been emphasized in the recent literature (e.g., Blakemore & Vuilleumier, 2017; Brosch, Pourtois, & Sander, 2010; Iordan, Dolcos, & Dolcos, 2013; Lindquist & Barrett, 2012; Okon-Singer et al., 2017; Phelps & LeDoux, 2005).”
BackgroundFears, phobias, and preparedness: toward an evolved module of fear and fear learning
Öhman, A., & Mineka, S. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.483 · Cited by 3,147 · cited 1× · see citing works
“The argument made here is that the brain basis of emotion needs to be understood from the perspective of the “interactive brain,” a view that contrasts with a more modular/hierarchical viewpoint (e.g., Ohman & Mineka, 2001).”
BackgroundNeuronal circuits for fear and anxiety
Tovote, P., Fadok, J. P., & Lüthi, A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3945 · Cited by 1,786 · see citing works
Alheid, G. F., & Heimer, L. (1988) · Neuroscience · doi:10.1016/0306-4522(88)90217-5 · Cited by 1,217 · see citing works
Extinction of emotional learning: contribution of medial prefrontal cortex
Morgan, M. A., Romanski, L. M., & LeDoux, J. E. (1993) · Neuroscience Letters · doi:10.1016/0304-3940(93)90241-c · Cited by 897 · see citing works
Excitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking
Stuber, G. D., Sparta, D. R., Stamatakis, A. M., van Leeuwen, W. A., Hardjoprajitno, J. E., Cho, S., Tye, K. M., Kempadoo, K. A., Zhang, F., Deisseroth, K., et al. (2011) · Nature · doi:10.1038/nature10194 · Cited by 878 · see citing works
Comparative Vertebrate Neuroanatomy: Evolution and Adaptation
Butler, A. B., & Hodos, W. (2005) · doi:10.1002/0471733849 · Cited by 640 · see citing works
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 · see citing works
Prefrontal control of fear: more than just extinction
Sotres-Bayon, F., & Quirk, G. J. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.005 · Cited by 625 · cited 3× · see citing works
“However, considering the PFC as “top” and the amygdala as “down” does not take into account the richness of the existing interactions (Sotres-Bayon & Quirk, 2010; Tovote, Fadok, & Lüthi, 2015).”
BackgroundUnderstanding brain networks and brain organization
Pessoa, L. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2014.03.005 · Cited by 464 · cited 4× · see citing works
“From that viewpoint, what is important is not simply the anatomical location of a region but its position in a space of functional relationships to other regions (Aertsen & Preissl, 1991; Friston et al., 1997; Pessoa, 2014).”
BackgroundInfluentialSelf-citationThe brain circuitry of attention
Shipp, S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.004 · Cited by 402 · see citing works
Processing of Temporal Unpredictability in Human and Animal Amygdala
Herry, C., Bach, D. R., Esposito, F., Di Salle, F., Perrig, W. J., Scheffler, K., Lüthi, A., & Seifritz, E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5218-06.2007 · Cited by 401 · see citing works
The place of dopamine in the cortico-basal ganglia circuit
Haber, S. N. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.10.008 · Cited by 364 · see citing works
Barger, N., Stefanacci, L., & Semendeferi, K. (2007) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20684 · Cited by 79 · see citing works
Flagged first, then by citations
Research works printed but not linked: 90
- Aertsen A, & Preissl H (1991). Dynamics of activity and connectivity in physiological neuronal networks In Schuster HG (Ed.), Non linear dynamics and neuronal networks (pp. 281– 302). New York, NY: VCH.
- Alexander GE, DeLong MR, & Strick PL (1986). Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience, 9, 357– 381. doi: 10.1146/annurev.ne.09.030186.002041 3085570 · DOI · Paper page
- Amaral DG, Price JL, Pitkanen A, & Carmichael ST (1992). Anatomical organization of the primate amygdaloid complex In Aggleton J (Ed.), The amygdala: Neurobiological aspects of emotion, memory, and mental dysfunction (pp. 1– 66). New York, NY: Wiley-Liss.
- Anderson DJ, & Adolphs R (2018). The neuroscience of emotion: A new synthesis. Princeton, NJ: Princeton University Press.
- Averbeck BB, Lehman J, Jacobson M, & Haber S (2014). Estimates of projection overlap and zones of convergence within frontal-striatal circuits. The Journal of Neuroscience, 34(29), 9497– 9505. 25031393 PMC4099536
- Barger N, Hanson KL, Teffer K, Schenker-Ahmed NM, & Semendeferi K (2014). Evidence for evolutionary specialization in human limbic structures. Frontiers in Human Neuroscience, 8, 277. doi: 10.3389/fnhum.2014.00277 24904348 PMC4033018 · DOI
- Barger N, Stefanacci L, Schumann CM, Sherwood CC, Annese J, Allman JM, … Semendeferi K (2012). Neuronal populations in the basolateral nuclei of the amygdala are differentially increased in humans compared with apes: A stereological study. The Journal of Comparative Neurology, 520(13), 3035– 3054. doi: 10.1002/cne.23118 22473387 PMC4904735 · DOI
- Barton RA, & Harvey PH (2000). Mosaic evolution of brain structure in mammals. Nature, 405(6790), 1055– 1058. doi: 10.1038/35016580 10890446 · DOI · Paper page
- Basso MA, & May PJ (2017). Circuits for action and cognition: A view from the superior colliculus. Annual Review of Vision Science, 3, 197– 226. doi: 10.1146/annurev-vision-102016-061234 PMC5752317 28617660 · DOI
- Blakemore RL, & Vuilleumier P (2017). An emotional call to action: Integrating affective neuroscience in models of motor control. Emotion Review, 9, 299– 309.
- Britt JP, Benaliouad F, McDevitt RA, Stuber GD, Wise RA, & Bonci A (2012). Synaptic and behavioral profile of multiple glutamatergic inputs to the nucleus accumbens. Neuron, 76(4), 790– 803. doi: 10.1016/j.neuron.2012.09.040 23177963 PMC3607383 · DOI · Paper page
- Brosch T, Pourtois G, & Sander D (2010). The perception and categorisation of emotional stimuli: A review. Cognition and Emotion, 24(3), 377– 400.
- Brzoska J, & Schneider H (1978). Modification of prey-catching behavior by learning in the common toad (Bufo b. bufo [L], Anura, Amphibia): Changes in responses to visual objects and effects of auditory stimuli. Behavioural Processes, 3(2), 125– 136. 24924651
- Buonomano DV, & Maass W (2009). State-dependent computations: Spatiotemporal processing in cortical networks. Nature Reviews. Neuroscience, 10(2), 113– 125. 19145235
- Butler AB (2008). Evolution of the thalamus: A morphological and functional review. Thalamus & Related Systems, 4(1), 35– 58.
- Cannon WB (1927). The James–Lange theory of emotions: A critical examination and an alternative theory. The American Journal of Psychology, 39(1–4), 106– 124. 3322057
- Chareyron LJ, Banta Lavenex P, Amaral DG, & Lavenex P (2011). Stereological analysis of the rat and monkey amygdala. The Journal of Comparative Neurology, 519(16), 3218– 3239. doi: 10.1002/cne.22677 21618234 PMC4342351 · DOI
- Correia SS, McGrath AG, Lee A, Graybiel AM, & Goosens KA (2016). Amygdala–ventral striatum circuit activation decreases long-term fear. eLife, 5, e12669. 27671733 PMC5039029
- Csete ME, & Doyle JC (2002). Reverse engineering of biological complexity. Science, 295(5560), 1664– 1669. 11872830
- Darwin C (1871). The descent of man and selection in relation to sex (Vol. 1). London, UK: Murray.
- Davis M (1992). The role of the amygdala in fear and anxiety. Annual Review of Neuroscience, 15, 353– 375. 1575447
- Dean P, Redgrave P, & Westby GW (1989). Event or emergency? Two response systems in the mammalian superior colliculus. Trends in Neurosciences, 12(4), 137– 147. 2470171
- DeLong MR, & Georgopoulos AP (1981). Motor functions of the basal ganglia In Brookhart JM, Mountcastle VB & Brooks VB (Eds.), Handbook of physiology (pp. 1017– 1051). Bethesda, MD: American Physiological Society.
- De Olmos J, Alheid GF, & Beltramino CA (1985). Amygdala In Paxinos G (Ed.), The rat nervous system (pp. 223– 334). Sydney, Australia: Academic Press.
- DesJardin JT, Holmes AL, Forcelli PA, Cole CE, Gale JT, Wellman LL, … Malkova L (2013). Defense-like behaviors evoked by pharmacological disinhibition of the superior colliculus in the primate. The Journal of Neuroscience, 33(1), 150– 155. doi: 10.1523/jneurosci.2924-12.2013 23283329 PMC3711614 · DOI
- Do-Monte FH, Manzano-Nieves G, Quiñones-Laracuente K, Ramos-Medina L, & Quirk GJ (2015). Revisiting the role of infralimbic cortex in fear extinction with optogenetics. Journal of Neuroscience, 35(8), 3607– 3615. 25716859 PMC4339362
- Edinger L (1908). The relations of comparative anatomy to comparative psychology. Journal of Comparative Neurology, 18(5), 437– 457. (W. H. Rand, Trans.)
- Evans SE (2000). General discussion II: Amniote evolution In Bock GR & Cardew G (Eds.), Evolutionary developmental biology of the cerebral cortex (Vol. 228, pp. 109– 113). Chichester, UK: John Wiley & Sons.
- Ewert JP (1984). Tectal mechanisms that underlie prey-catching and avoidance behaviors in toads In Vanegas H (Ed.), Comparative neurology of the optic tectum (pp. 247– 416). New York, NY: Plenum Press.
- Ewert JP (1987a). Neuroethology of releasing mechanisms: Prey-catching in toads. Behavioral and Brain Sciences, 10(3), 337– 368.
- Ewert JP (1987b). Neuroethology: Toward a functional analysis of stimulus–response mediating and modulating neural circuitries In Ellen P & Thinus-Blonc C (Eds.), Cognitive processes and spatial orientation in animal and man (pp. 177– 200). Dordrecht, The Netherlands: Springer.
- Ewert JP, Buxbaum-Conradi H, Dreisvogt F, Glagow M, Merkel-Harff C, Rottgen A, … Schwippert WW (2001). Neural modulation of visuomotor functions underlying prey-catching behaviour in anurans: Perception, attention, motor performance, learning. Comparative Biochemistry and Physiology. Part A: Molecular and Integrative Physiology, 128(3), 417– 461. 11246037
- Finger S (1994). Origins of neuroscience: A history of explorations into brain function. New York, NY: Oxford University Press.
- Finkenstadt T, & Ewert JP (1988). Effects of visual associative conditioning on behavior and cerebral metabolic activity in toads. Naturwissenschaften, 75(2), 95– 97. 3368007
- Forcelli PA, DesJardin JT, West EA, Holmes AL, Elorette C, Wellman LL, & Malkova L (2016). Amygdala selectively modulates defensive responses evoked from the superior colliculus in non-human primates. Social Cognitive and Affective Neuroscience, 11(12), 2009– 2019. doi: 10.1093/scan/nsw111 27510499 PMC5141962 · DOI
- Fox AS, Oler JA, Tromp DP, Fudge JL, & Kalin NH (2015). Extending the amygdala in theories of threat processing. Trends in Neurosciences, 38(5), 319– 329. 25851307 PMC4417372
- Friston KJ, Buechel C, Fink GR, Morris J, Rolls E, & Dolan RJ (1997). Psychophysiological and modulatory interactions in neuroim-aging. Neuroimage, 6(3), 218– 229. 9344826
- Furigo IC, de Oliveira WF, de Oliveira AR, Comoli E, Baldo MV, Mota-Ortiz SR, & Canteras NS (2010). The role of the superior colliculus in predatory hunting. Neuroscience, 165(1), 1– 15. doi: 10.1016/j.neuroscience.2009.10.004 19825395 · DOI
- Grilli J, Barabas G, Michalska-Smith MJ, & Allesina S (2017). Higher-order interactions stabilize dynamics in competitive network models. Nature, 548(7666), 210– 213. doi: 10.1038/nature23273 28746307 · DOI
- Grossberg S (1980). How does a brain build a cognitive code? Psychological Review, 87, 1– 51. 7375607
- Grossberg S (2017). Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support. Neural Networks, 87, 38– 95. 28088645
- Guimaraes PR Jr., Pires MM, Jordano P, Bascompte J, & Thompson JN (2017). Indirect effects drive coevolution in mutualistic networks. Nature, 550(7677), 511– 514. doi: 10.1038/nature24273 29045396 · DOI
- Haber SN (2003). The primate basal ganglia: Parallel and integrative networks. Journal of Chemical Neuroanatomy, 26(4), 317– 330. 14729134
- Heimer L, van Hoesen GW, Trimble M, & Zahm DS (2007). Anatomy of neuropsychiatry: The new anatomy of the basal forebrain and its implications for neuropsychiatric illness. Burlington, MA: Academic Press.
- Hennig W (1999). Phylogenetic systematics (D. D. David & R. Zangerl, Trans.). Urbana: University of Illinois Press.
- Hermans EJ, Henckens MJ, Joëls M, & Fernández G (2014). Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends in Neurosciences, 37(6), 304– 314. 24766931
- Herry C, Ciocchi S, Senn V, Demmou L, Müller C, & Lüthi A (2008). Switching on and off fear by distinct neuronal circuits. Nature, 454(7204), 600– 606. 18615015
- Hirsch MW, Smale S, & Devaney RL (2012). Differential equations, dynamical systems, and an introduction to chaos (3rd ed.). Waltham, MA: Academic Press.
- Hoover WB, & Vertes RP (2007). Anatomical analysis of afferent projections to the medial prefrontal cortex in the rat. Brain Structure and Function, 212(2), 149– 179. 17717690
- Hugues S, & Garcia R (2007). Reorganization of learning-associated pre-frontal synaptic plasticity between the recall of recent and remote fear extinction memory. Learning & Memory, 14(8), 520– 524. 17671108 PMC1951790
- Iordan AD, Dolcos S, & Dolcos F (2013). Neural signatures of the response to emotional distraction: A review of evidence from brain imaging investigations. Frontiers in Human Neuroscience, 7, 200. doi: 10.3389/fnhum.2013.00200 23761741 PMC3672684 · DOI · Paper page
- Kimura M (1983). The neutral theory of molecular evolution. New York, NY: Cambridge University Press.
- Lee L, Harrison LM, & Mechelli A (2003). A report of the functional connectivity workshop, Dusseldorf 2002. Neuroimage, 19(2, Pt. 1), 457– 465. 12814594
- Liem KF, Bemis W, Walker WF, & Grande L (2001). Functional anatomy of the vertebrates: An evolutionary perspective (3rd ed.). Fort Worth, TX: Brooks Cole.
- Lindquist KA, & Barrett LF (2012). A functional architecture of the human brain: Emerging insights from the science of emotion. Trends in Cognitive Sciences, 16(11), 533– 540. doi: 10.1016/j.tics.2012.09.005 23036719 PMC3482298 · DOI
- MacLean PD (1990). The triune brain in evolution: Role in paleocerebral functions. New York, NY: Plenum. 17797318
- Mante V, Sussillo D, Shenoy KV, & Newsome WT (2013). Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature, 503(7474), 78– 84. doi: 10.1038/nature12742 24201281 PMC4121670 · DOI
- Maren S, Phan KL, & Liberzon I (2013). The contextual brain: Implications for fear conditioning, extinction and psychopathology. Nature Reviews. Neuroscience, 14(6), 417– 428. doi: 10.1038/nrn3492 23635870 PMC5072129 · DOI · Paper page
- May PJ (2006). The mammalian superior colliculus: Laminar structure and connections. Progress in Brain Research, 151, 321– 378. 16221594
- McCulloch WS (1945). A heterarchy of values determined by the topology of nervous nets. The Bulletin of Mathematical Biophysics, 7(2), 89– 93. 21006853
- McMenamin BW, Langeslag SJ, Sirbu M, Padmala S, & Pessoa L (2014). Network organization unfolds over time during periods of anxious anticipation. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 34(34), 11261– 11273. 25143607 PMC4138337
- Medina L (2009). Basal ganglia: Evolution In Squire LR (Ed.), Encyclopedia of neuroscience (Vol. 2, pp. 67– 85). Amsterdam, The Netherlands: Elsevier.
- Medina L, Abellán A, Vicario A, Castro-Robles B, & Desfilis E (2017). The amygdala In Kaas JH (Ed.), Evolution of nervous systems (2nd ed., pp. 427– 478). London, UK: Academic Press.
- Meek J, & Nieuwenhuys R (1998). Holosteans and teleosts In Nieuwenhuys R, ten Donkelaar HJ & Nicholson C (Eds.), The central nervous system of vertebrates (Vol. 2, pp. 759– 937). Berlin, Germany: Springer-Verlag.
- Neary TJ (1990). The pallium of anuran amphibians In Jones EG & Peters A (Eds.), Cerebral cortex. Comparative structure and evolution of cerebral cortex, Part I (Vol. 8A, pp. 107– 138). Boston, MA: Springer.
- Newman M (2010). Networks: An introduction. New York, NY: Oxford University Press.
- Nieuwenhuys R, Donkelaar H, & Nicholson C (1998). The central nervous system of vertebrates. Berlin, Germany: Springer-Verlag.
- Nieuwenhuys R, Voogd J, & van Huijzen C (2008). The human central nervous system (4th ed.). Berlin, Germany: Steinkopff.
- Okon-Singer H, Stout D, Stockbridge M, Gamer M, Fox A, & Shack-man A (2017). The interplay of emotion and cognition In Fox AS, Lapate RC, Shackman AJ & Davidson RJ (Eds.), The nature of emotion. Fundamental questions (2nd ed., pp. 181– 186). New York, NY: Oxford University Press.
- Paré D, & Quirk GJ (2017). When scientific paradigms lead to tunnel vision: Lessons from the study of fear. npj Science of Learning, 2. doi: 10.1038/s41539-017-0007-4 PMC6171770 30294453 · DOI
- Parvizi J (2009). Corticocentric myopia: Old bias in new cognitive sciences. Trends in Cognitive Sciences, 13(8), 354– 359. doi: 10.1016/j.tics.2009.04.008 19595625 · DOI
- Peek MY, & Card GM (2016). Comparative approaches to escape. Current Opinion in Neurobiology, 41, 167– 173. 27710794
- Pereira AG, & Moita MA (2016). Is there anybody out there? Neural circuits of threat detection in vertebrates. Current Opinion in Neurobiology, 41, 179– 187. doi: 10.1016/j.conb.2016.09.011 27750206 · DOI
- Pessoa L (2013). The cognitive-emotional brain: From interactions to integration. Cambridge, MA: The MIT Press.
- Pessoa L (2015). Précis on the cognitive-emotional brain. Behavioral and Brain Sciences, 38, e71. doi: 10.1017/S0140525X14000120 24914882 · DOI · Paper page
- Pessoa L (2017a). Cognitive-motivational interactions: Beyond boxes-and-arrows models of the mind-brain. Motivation Science, 3(3), 287– 303. 29399604 PMC5793941
- Pessoa L (2017b). A network model of the emotional brain. Trends in Cognitive Sciences, 21(5), 357– 371. 28363681 PMC5534266
- Pessoa L (2018). Understanding emotion with brain networks. Current Opinion in Behavioral Sciences, 19, 19– 25. doi: 10.1016/j.cobeha.2017.09.005 29915794 PMC6003711 · DOI
- Pessoa L, & McMenamin B (2016). Dynamic networks in the emotional brain. Neuroscientist, 23, 383– 396. doi: 10.1177/1073858416671936 27784761 PMC5405011 · DOI
- Pessoa L, & Najafi M (2015). Complex-system causality in large-scale brain networks: Comment on “Foundational perspectives on causality in large-scale brain networks by M. Mannino and S.L. Bressler.” Physics of Life Reviews, 15, 124– 127. 26603755
- Rilling JK, & Insel TR (1999). The primate neocortex in comparative perspective using magnetic resonance imaging. Journal of Human Evolution, 37(2), 191– 223. doi: 10.1006/jhev.1999.0313 10444351 · DOI
- Semendeferi K, Lu A, Schenker N, & Damasio H (2002). Humans and great apes share a large frontal cortex. Nature Neuroscience, 5(3), 272– 276. doi: 10.1038/nn814 11850633 · DOI
- Shipp S (2017). The functional logic of corticostriatal connections. Brain Structure & Function, 8, 1– 38. PMC5334428 27412682
- Stein BE, & Meredith MA (1993). The merging of the senses. Cambridge, MA: The MIT Press.
- Strehler BL (1991). Where is the self? A neuroanatomical theory of consciousness. Synapse, 7(1), 44– 91. doi: 10.1002/syn.890070105 1672473 · DOI
- Sugihara G, May R, Ye H, Hsieh C. h., Deyle E, Fogarty M, & Munch S (2012). Detecting causality in complex ecosystems. Science, 338(6106), 496– 500. 22997134
- Swanson LW, & Lichtman JW (2016). From Cajal to connectome and beyond. Annual Review of Neuroscience, 39(1), 197– 216. 27442070
- Thompson E (2007). Mind in life: Biology, phenomenology, and the sciences of the mind. Cambridge, MA: Harvard University Press.
- Tognoli E, & Kelso JS (2014). The metastable brain. Neuron, 81(1), 35– 48. 24411730 PMC3997258
- Wilczynski W, & Northcutt RG (1983). Connections of the bullfrog striatum: Efferent projections. Journal of Comparative Neurology, 214(3), 333– 343. doi: 10.1002/cne.902140310 6602153 · DOI
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A Taxonomy of Social Errors in Human-Robot Interaction
Tian, L., & Oviatt, S. (2021) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3439720 · Cited by 133 · see citing works
- Authors
- Pessoa, L.
- Affiliations
- Department of Psychology and Maryland Neuroimaging Center, University of Maryland, USA
- Corresponding author
- Pessoa, Luiz
- ORCID
- Pessoa, Luiz
- Venue
- Emotion Review
- Publisher
- SAGE Publications
- Published
- 2018-07
- Volume
- 10
- Issue
- 3
- Pages
- 204-216
- ISSN
- 1754-0739 (ISSN-L)
- 1754-0747
- PMC
- PMC6752744
- OpenAlex
- W2883277121
- Cited by
- 58
- References
- 14
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 7 · 2023: 1 · 2022: 18 · 2021: 9 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 1
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Emotion Review (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH071589, MH112517)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- emotions, emotional brain, comparative neuroanatomy, evolutionary anatomy, midbrain, thalamus, forebrain, complex systems, signal integration, motivation, emotion-cognition interaction
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