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The cognitive-emotional amalgam

Published online by Cambridge University Press:  08 June 2015

Luiz Pessoa
Luiz Pessoa*
Affiliation:
Department of Psychology, University of Maryland, College Park, MD 20742. pessoa@umd.edu http://www.cognitionemotion.org
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Abstract

In the précis to The Cognitive-Emotional Brain, I summarize a framework for understanding the organization of cognition and emotion in the brain. Here, I address six major themes that emerged in the commentaries: (1) emotional perception and automaticity; (2) the status of cognition and emotion: together or separate? (3) evolutionary implications for the understanding of emotion and cognition; (4) the diverse forms of cognitive-emotional integration; (5) dual process theories; and (6) functional diversity of brain regions/networks and cognitive ontologies. The central argument is, again, that cognition and emotion are so highly interactive, and indeed integrated, that these two elements blend into a new amalgam.

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Behavioral and Brain Sciences , Volume 38 , 2015 , e91
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Copyright © Cambridge University Press 2015 

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References

Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K. & Miyashita, Y. (2012) Functional connectivity between anatomically unconnected areas is shaped by collective network-level effects in the macaque cortex. Cerebral Cortex 22(7):1586–92. doi: 10.1093/cercor/bhr234.CrossRefGoogle ScholarPubMed
Amaral, D. G. & Price, J. L. (1984) Amygdalo-cortical projections in the monkey (Macaca fascicularis). Journal of Comparative Neurology 230(4):465–96. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=6520247.Google Scholar
Amaral, D. G., Price, J. L., Pitkanen, A. & Carmichael, S. T. (1992) Anatomical organization of the primate amygdaloid complex. In: The amygdala: Neurobiological aspects of emotion, memory, and mental dysfunction, ed. Aggleton, J., pp. 1–66. Wiley-Liss.Google Scholar
Anderson, M. L., Kinnison, J. & Pessoa, L. (2013) Describing functional diversity of brain regions and brain networks. NeuroImage 73:50–58.Google Scholar
Averbeck, B. B. & Seo, M. (2008) The statistical neuroanatomy of frontal networks in the macaque. PLoS Computational Biology 4(4):e1000050. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18389057.Google Scholar
Barton, R. A. & Harvey, P. H. (2000) Mosaic evolution of brain structure in mammals. Nature 405(6790):1055–58.CrossRefGoogle ScholarPubMed
Bilder, R. M., Sabb, F. W., Parker, D. S., Kalar, D., Chu, W. W., Fox, J., Freimer, N. B. & Poldrack, R. A. (2009) Cognitive ontologies for neuropsychiatric phenomics research. Cognitive Neuropsychiatry 14(4–5):419–50.Google Scholar
Botvinick, M. M. (2007) Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function. Cognitive, Affective, and Behavioral Neuroscience 7(4):356–66.Google Scholar
Butler, A. B. (2009) Triune brain concept: A comparative evolutionary perspective. In: Encyclopedia of Neuroscience, vol. 9, ed. Squire, L. R. , pp. 1185–93. Academic Press.Google Scholar
Cardinal, R. N., Parkinson, J. A., Hall, J. & Everitt, B. J. (2002) Emotion and motivation: The role of the amygdala, ventral striatum, and prefrontal cortex. Neuroscience & Biobehavioral Reviews 26(3):321–52. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12034134.Google Scholar
Chareyron, L. J., Banta Lavenex, P., Amaral, D. G. & Lavenex, P. (2011) Stereological analysis of the rat and monkey amygdala. Journal of Comparative Neurology 519(16):3218–39.Google Scholar
Desimone, R. & Duncan, J. (1995) Neural mechanisms of selective visual attention. Annual Review of Neuroscience 18:193–222. doi: 10.1146/annurev.ne.18.030195.001205.CrossRefGoogle ScholarPubMed
Dobzhansky, T. (1973) Nothing in biology makes sense except in the light of evolution. American Biology Teacher 35:125–29.Google Scholar
Evans, J. St. B. T. (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology 59(1):255–78.Google Scholar
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E. & Dolan, R. J. (1997) Psychophysiological and modulatory interactions in neuroimaging. NeuroImage 6(3):218–29. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=9344826.Google Scholar
Ghashghaei, H. T., Hilgetag, C. C. & Barbas, H. (2007) Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala. NeuroImage 34(3):905–23. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17126037.Google Scholar
Greene, J. D., Sommerville, R. B., Nystrom, L. E., Darley, J. M. & Cohen, J. D. (2001) An fMRI investigation of emotional engagement in moral judgment. Science 293(5537):2105–108. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11557895.Google Scholar
Grossberg, S., Chang, H.-C. & Cao, Y. (2014) Where's Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene. Frontiers in Integrative Neuroscience 8:43.Google Scholar
Hu, K., Padmala, S. & Pessoa, L. (2013) Interactions between reward and threat during visual processing. Neuropsychologia 51(9):1763–72.Google Scholar
Inzlicht, M. & Legault, L. (2014) No pain, no gain: How distress underlies effective self-control (and unites diverse social psychological phenomena). In: The control within: Motivation and its regulation, ed. Forgas, J. & Harmon-Jones, E., pp. 115–32. Psychology Press.Google Scholar
Kelso, J. & Engstrøm, D. A. (2006) The complementary nature. MIT Press.Google Scholar
Keren, G. & Schul, Y. (2009) Two is not always better than one: A critical evaluation of two-system theories. Perspectives on Psychological Science 4(6):533–38.Google Scholar
Kruglanski, A. W., Erbs, H. P., Pierro, A., Mannetti, L. & Chun, W. Y. (2006) On parametric continuities in the world of binary either ors. Psychological Inquiry 17:153–65.Google Scholar
Lee, L., Harrison, L. M. & Mechelli, A. (2003) A report of the functional connectivity workshop, Dusseldorf 2002. NeuroImage 19(2 Pt 1):457–65. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12814594.CrossRefGoogle ScholarPubMed
Luck, S. J., Chelazzi, L., Hillyard, S. A. & Desimone, R. (1997) Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal of Neurophysiology 77(1):24–42.Google Scholar
MacLean, P. D. (1990) The triune brain in evolution: Role in paleocerebral functions. Plenum Press.Google Scholar
Mantini, D., Gerits, A., Nelissen, K., Durand, J. B., Joly, O., Simone, L., Sawamura, H., Wardak, C., Orban, G. A., Buckner, R. L. & Vanduffel, W. (2011) Default mode of brain function in monkeys. Journal of Neuroscience 31(36):12954–62.Google Scholar
Markovic, J., Anderson, A. K. & Todd, R. M. (2014) Tuning to the significant: Neural and genetic processes underlying affective enhancement of visual perception and memory. Behavioural Brain Research 259:229–41. doi: 10.1016/j.bbr.2013.11.018.Google Scholar
Mather, M. & Sutherland, M. R. (2011) Arousal-biased competition in perception and memory. Perspectives on Psychological Science 6(2):114–33.Google Scholar
Modha, D. S. & Singh, R. (2010) Network architecture of the long-distance pathways in the macaque brain. Proceedings of the National Academy of Sciences of the United States of America 107(30):13485–90. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=20628011.Google Scholar
Moll, J., de Oliveira-Souza, R., Moll, F. T., Ignacio, F. A., Bramati, I. E., Caparelli-Daquer, E. M. & Eslinger, P. J. (2005) The moral affiliations of disgust: A functional MRI study. Cognitive and Behavioral Neurology 18(1):68–78. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15761278.CrossRefGoogle ScholarPubMed
Moll, J., de Oliveira-Souza, R. & Zahn, R. (2008a) The neural basis of moral cognition. Annals of the New York Academy of Sciences 1124(1):161–80.Google Scholar
Newell, A. (1973) You can't play 20 questions with nature and win: Projective comments on the papers of this symposium. In: Visual information processing, ed. Chase, W., pp. 283–308. Academic Press.Google Scholar
Parvizi, J. (2009) Corticocentric myopia: Old bias in new cognitive sciences. Trends in Cognitive Sciences 13(8):354–59.CrossRefGoogle ScholarPubMed
Passingham, R. E., Stephan, K. E. & Kotter, R. (2002) The anatomical basis of functional localization in the cortex. Nature Reviews Neuroscience 3(8):606–16. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12154362.Google Scholar
Pessoa, L. (2013) The cognitive-emotional brain. From interactions to integration. MIT Press.Google Scholar
Pessoa, L. (2014) Understanding brain networks and brain organization. Physics of Life Reviews 11(3):400–435.Google Scholar
Petrovich, G. D., Canteras, N. S. & Swanson, L. W. (2001) Combinatorial amygdalar inputs to hippocampal domains and hypothalamic behavior systems. Brain Research Reviews 38(1–2):247–89. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11750934.Google Scholar
Poldrack, R. A. (2006) Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Science 10(2):59–63.Google Scholar
Poldrack, R. A. (2011) Inferring mental states from neuroimaging data: From reverse inference to large-scale decoding. Neuron 72(5):692–97.Google Scholar
Price, C. J. & Friston, K. J. (2005) Functional ontologies for cognition: The systematic definition of structure and function. Cognitive Neuropsychology 22(3/4):262–75.Google Scholar
Rempel-Clower, N. L. & Barbas, H. (1998) Topographic organization of connections between the hypothalamus and prefrontal cortex in the rhesus monkey. Journal of Comparative Neurology 398(3):393–419. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=9714151.Google Scholar
Reynolds, J. H., Chelazzi, L. & Desimone, R. (1999) Competitive mechanisms subserve attention in macaque areas V2 and V4. Journal of Neuroscience 19:1736–53.Google Scholar
Risold, P. Y., Thompson, R. H. & Swanson, L. W. (1997) The structural organization of connections between hypothalamus and cerebral cortex. Brain Research Reviews 24(2–3):197–254. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=9385455.Google Scholar
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J. & Davidson, R. J. (2011) The integration of negative affect, pain and cognitive control in the cingulate cortex. Nature Reviews Neuroscience 12(3):154–67. Available at: http://www.ncbi.nlm.nih.gov/pubmed/21331082.Google Scholar
Striedter, G. F. (2005) Principles of brain evolution. Sinauer Associates.Google Scholar