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Précis on The Cognitive-Emotional Brain

  • Luiz Pessoa (a1)

In The Cognitive-Emotional Brain (Pessoa 2013), I describe the many ways that emotion and cognition interact and are integrated in the brain. The book summarizes five areas of research that support this integrative view and makes four arguments to organize each area. (1) Based on rodent and human data, I propose that the amygdala's functions go beyond emotion as traditionally conceived. Furthermore, the processing of emotion-laden information is capacity limited, thus not independent of attention and awareness. (2) Cognitive-emotional interactions in the human prefrontal cortex (PFC) assume diverse forms and are not limited to mutual suppression. Particularly, the lateral PFC is a focal point for cognitive-emotional interactions. (3) Interactions between motivation and cognition can be seen across a range of perceptual and cognitive tasks. Motivation shapes behavior in specific ways – for example, by reducing response conflict or via selective effects on working memory. Traditional accounts, by contrast, typically describe motivation as a global activation independent of particular control demands. (4) Perception and cognition are directly influenced by information with affective or motivational content in powerful ways. A dual competition model outlines a framework for such interactions at the perceptual and executive levels. A specific neural architecture is proposed that embeds emotional and motivational signals into perception and cognition through multiple channels. (5) A network perspective should supplant the strategy of understanding the brain in terms of individual regions. More broadly, in a network view of brain architecture, “emotion” and “cognition” may be used as labels of certain behaviors, but will not map cleanly into compartmentalized pieces of the brain.

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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.
Adcock, R. A., Thangavel, A., Whitfield-Gabrieli, S., Knutson, B. & Gabrieli, J. D. (2006) Reward-motivated learning: Mesolimbic activation precedes memory formation. Neuron 50(3):507–17.
Alexander, W. H. & Brown, J. W. (2011) Medial prefrontal cortex as an action-outcome predictor. Nature Neuroscience 14(10):1338–44.
Anderson, M. L., Kinnison, J. & Pessoa, L. (2013) Describing functional diversity of brain regions and brain networks. NeuroImage 73:5058.
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R. & Buckner, R. L. (2010) Functional-anatomic fractionation of the brain's default network. Neuron 65(4):550–62.
Anticevic, A., Repovs, G. & Barch, D. M. (2010) Resisting emotional interference: Brain regions facilitating working memory performance during negative distraction. Cognitive, Affective, and Behavioral Neuroscience 10(2):159–73. Available at:
Arnsten, A. F. (2009) Stress signalling pathways that impair prefrontal cortex structure and function. Nature Reviews Neuroscience 10(6):410–22.
Aslan, B. & Zech, G. (2005) New test for the multivariate two-sample problem based on the concept of minimum energy. Journal of Statistical Computation and Simulation 75(2):109–19.
Averbeck, B. B. & Seo, M. (2008) The statistical neuroanatomy of frontal networks in the macaque. PLoS Computational Biology 4(4):e1000050. Available at:
Awh, E., Belopolsky, A. V. & Theeuwes, J. (2012) Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences 16(8):437–43.
Baluch, F. & Itti, L. (2011) Mechanisms of top-down attention. Trends in Neurosciences 34(4):210–24.
Barbas, H. (1995) Anatomic basis of cognitive-emotional interactions in the primate prefrontal cortex. Neuroscience and Biobehavioral Reviews 19(3):449510.
Barbas, H. & Pandya, D. N. (1989) Architecture and intrinsic connections of the prefrontal cortex in the rhesus monkey. Journal of Comparative Neurology 286(3):353–75. Available at:
Bargh, J. A. & Morsella, E. (2008) The unconscious mind. Perspectives in Psychological Science 3(1):7379. Available at:
Barrett, L. F. & Bar, M. (2009) See it with feeling: Affective predictions during object perception. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 364(1521):1325–34. Available at:
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M. & Grafton, S. T. (2011) Dynamic reconfiguration of human brain networks during learning. Proceedings of the National Academy of Science of the United States of America 108(18):7641–46.
Basten, U., Stelzel, C. & Fiebach, C. J. (2011) Trait anxiety modulates the neural efficiency of inhibitory control. Journal of Cognitive Neuroscience 23(10):3132–45.
Beck, S. M., Locke, H. S., Savine, A. C., Jimura, K. & Braver, T. S. (2010) Primary and secondary rewards differentially modulate neural activity dynamics during working memory. PLoS ONE 5(2):e9251. Available at:
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.
Bishop, S. (2007) Neurocognitive mechanisms of anxiety: An integrative account. Trends in Cognitive Sciences 11(7):307–16. Available at:
Bishop, S. (2009) Trait anxiety and impoverished prefrontal control of attention. Nature Neuroscience 12(1):9298. Available at:
Bishop, S., Duncan, J., Brett, M. & Lawrence, A. D. (2004) Prefrontal cortical function and anxiety: Controlling attention to threat-related stimuli. Nature Neuroscience 7(2):184–88. Available at:
Borgatti, S. P. (2005) Centrality and network flow. Social Networks 27(1):5571.
Braver, T. S. (2012) The variable nature of cognitive control: A dual mechanisms framework. Trends in Cognitive Sciences 16(2):106–13.
Braver, T. S., Gray, J. R. & Burgess, G. C. (2007) Explaining the many varieties of working memory variation: Dual mechanisms of cognitive control. In: Variation in working memory, ed. Conway, A. R. A., Jarrold, C., Kane, M. J., Miyake, A. & Towse, J. N., pp. 76106. Oxford University Press.
Bressler, S. L. & Menon, V. (2010) Large-scale brain networks in cognition: Emerging methods and principles. Trends in Cognitive Sciences 14(6):277–90. Available at:
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A. & Johnson, K. A. (2009) Cortical hubs revealed by intrinsic functional connectivity: Mapping, assessment of stability, and relation to Alzheimer's disease. Journal of Neuroscience 29(6):1860–73.
Bullmore, E. & Sporns, O. (2009) Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience 10(3):186–98.
Bush, G., Luu, P. & Posner, M. I. (2000) Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences 4(6):215–22.
Cacioppo, J. T. & Tassinary, L. G. (1990) Inferring psychological significance from physiological signals. American Psychologist 45(1):1628. Available at:
Cavada, C., Company, T., Tejedor, J., Cruz-Rizzolo, R. J. & Reinoso-Suarez, F. (2000) The anatomical connections of the macaque monkey orbitofrontal cortex. A review. Cerebral Cortex 10(3):220–42. Available at:
Chelazzi, L., Perlato, A., Santandrea, E. & Della Libera, C. (2013) Rewards teach visual selective attention. Vision Research 85:5872.
Choi, J. M., Padmala, S. & Pessoa, L. (2012) Impact of state anxiety on the interaction between threat monitoring and cognition. NeuroImage 59(2):1912–23.
Christakis, N. A. & Fowler, J. H. (2007) The spread of obesity in a large social network over 32 years. New England Journal of Medicine 357(4):370–79.
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A. & Braver, T. S. (2013) Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience 16(9):1348–55.
Corbetta, M. & Shulman, G. L. (2002) Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience 3(3):201–15.
Craig, A. D. (2002) How do you feel? Interoception: The sense of the physiological condition of the body. Nature Reviews Neuroscience 3(8):655–66. Available at:
Craig, A. D. (2009) How do you feel – now? The anterior insula and human awareness. Nature Reviews Neuroscience 10(1):5970. Available at:
Desimone, R. & Duncan, J. (1995) Neural mechanisms of selective visual attention. Annual Review of Neuroscience 18:193222. doi: 10.1146/
Devinsky, O., Morrell, M. J. & Vogt, B. A. (1995) Contributions of anterior cingulate cortex to behaviour. Brain 118(Pt 1):279306. Available at:
Dolcos, F., Iordan, A. D. & Dolcos, S. (2011) Neural correlates of emotion-cognition interactions: A review of evidence from brain imaging investigations. Journal of Cognitive Psychology 23(6):669–94.
Dolcos, F. & McCarthy, G. (2006) Brain systems mediating cognitive interference by emotional distraction. Journal of Neuroscience 26(7):2072–79. Available at:
Dosenbach, N. U., Fair, D. A., Cohen, A. L., Schlaggar, B. L. & Petersen, S. E. (2008) A dual-networks architecture of top-down control. Trends in Cognitive Sciences 12(3):99105. Available at:
Drevets, W. C. & Raichle, M. E. (1998) Reciprocal suppression of regional cerebral blood flow during emotional versus higher cognitive processes: Implications for interactions between emotion and cognition. Cognition and Emotion 12(3):353–85.
Duffy, E. (1962) Activation and behavior. Wiley. Available at:
Duncan, J., Emslie, H., Williams, P., Johnson, R. & Freer, C. (1996) Intelligence and the frontal lobe: The organization of goal-directed behavior. Cognitive Psychology 30(3):257303. Available at:
Engelmann, J. B., Damaraju, E. C., Padmala, S. & Pessoa, L. (2009) Combined effects of attention and motivation on visual task performance: Transient and sustained motivational effects. Frontiers in Human Neuroscience 3(4). doi: 10.3389/neuro.3309.3004.2009.
Engelmann, J. B. & Pessoa, L. (2007) Motivation sharpens exogenous spatial attention. Emotion 7(3):668–74. Available at:
Erk, S., Kleczar, A. & Walter, H. (2007) Valence-specific regulation effects in a working memory task with emotional context. NeuroImage 37(2):623–32. Available at:
Estrada, E. & Hatano, N. (2008) Communicability in complex networks. Physical Review E 77(3):036111.
Etkin, A., Egner, T. & Kalisch, R. (2011) Emotional processing in anterior cingulate and medial prefrontal cortex. Trends in Cognitive Sciences 15(2):8593. Available at:
Etkin, A. & Wager, T. D. (2007) Functional neuroimaging of anxiety: A meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. American Journal of Psychiatry 164(10):1476–88. Available at:
Evans, J. St. B. T. (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology 59(1):255–78.
Eysenck, M. W. & Derakshan, N. (2011) New perspectives in attentional control theory. Personality and Individual Differences 50(7):955–60.
Eysenck, M. W., Derakshan, N., Santos, R. & Calvo, M. G. (2007) Anxiety and cognitive performance: Attentional control theory. Emotion 7(2):336–53. Available at:
Fales, C. L., Barch, D. M., Burgess, G. C., Schaefer, A., Mennin, D. S., Gray, J. R. & Braver, T. S. (2008) Anxiety and cognitive efficiency: Differential modulation of transient and sustained neural activity during a working memory task. Cognitive, Affective, & Behavioral Neuroscience 8(3):239–53. Available at:
Fecteau, J. H. & Munoz, D. P. (2006) Salience, relevance, and firing: A priority map for target selection. Trends in Cognitive Sciences 10(8):382–90. Available at:
Furey, M. L., Pietrini, P. & Haxby, J. V. (2000) Cholinergic enhancement and increased selectivity of perceptual processing during working memory. Science 290(5500):2315–19.
Furey, M. L., Pietrini, P., Haxby, J. V. & Drevets, W. C. (2008) Selective effects of cholinergic modulation on task performance during selective attention. Neuropsychopharmacology 33(4):913–23.
Gilbert, A. M. & Fiez, J. A. (2004) Integrating rewards and cognition in the frontal cortex. Cognitive, Affective, and Behavioral Neuroscience 4(4):540–52. Available at:
Goldman-Rakic, P. S., Leranth, C., Williams, S. M., Mons, N. & Geffard, M. (1989) Dopamine synaptic complex with pyramidal neurons in primate cerebral cortex. Proceedings of the National Academy of Sciences of the United States of America 86(22):9015–19.
Grossberg, S. (1980) How does a brain build a cognitive code? Psychological Review 87(1):151.
Grossberg, S. (1982) A psychophysiological theory of reinforcement, drive, motivation, and attention. Journal of Theoretical Neurobiology 1:286369.
Grossberg, S. & Levine, D. S. (1987) Neural dynamics of attentionally modulated Pavlovian conditioning: Blocking, interstimulus interval, and secondary reinforcement. Applied Optics 26(23):5015–30.
Grossberg, S. & Paine, R. W. (2000) A neural model of cortico-cerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements. Neural Networks 13(8–9):999–46. Available at:
Guimera, R. & Nunes Amaral, L. A. (2005) Functional cartography of complex metabolic networks. Nature 433(7028):895900. Available at:
Harsay, H. A., Cohen, M. X., Oosterhof, N. N., Forstmann, B. U., Mars, R. B. & Ridderinkhof, K. R. (2011) Functional connectivity of the striatum links motivation to action control in humans. Journal of Neuroscience 31(29):10701–11.
Hickey, C., Chelazzi, L. & Theeuwes, J. (2010) Reward changes salience in human vision via the anterior cingulate. Journal of Neuroscience 30(33):11096–103.
Horvitz, J. C. (2000) Mesolimbocortical and nigrostriatal dopamine responses to salient non-reward events. Neuroscience 96(4):651–56. Available at:
Hull, C. L. (1943) Principles of behavior: An introduction to behavior theory. Appleton-Century-Crofts. Available at:
Jimura, K., Locke, H. S. & Braver, T. S. (2010) Prefrontal cortex mediation of cognitive enhancement in rewarding motivational contexts. Proceedings of the National Academy of Sciences of the United States of America 107(19):8871–76. Available at:
Kastner, S. & Ungerleider, L. G. (2000) Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience 23:315–41.
Kelso, J. & Engstrøm, D. A. (2006) The complementary nature. MIT Press.
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.
Kinnison, J., Padmala, S., Choi, J. M. & Pessoa, L. (2012) Network analysis reveals increased integration during emotional and motivational processing. Journal of Neuroscience 32(24):8361–72.
Kitsak, M., Gallos, L. K., Havlin, S., Liljeros, F., Muchnik, L., Stanley, H. E. & Makse, H. A. (2010) Identification of influential spreaders in complex networks. Nature Physics 6(11):888–93.
Kobayashi, S., Kawagoe, R., Takikawa, Y., Koizumi, M., Sakagami, M. & Hikosaka, O. (2007) Functional differences between macaque prefrontal cortex and caudate nucleus during eye movements with and without reward. Experimental Brain Research 176:341–55. Available at:
Kobayashi, S., Lauwereyns, J., Koizumi, M., Sakagami, M. & Hikosaka, O. (2002) Influence of reward expectation on visuospatial processing in macaque lateral prefrontal cortex. Journal of Neurophysiology 87(3):1488–98. Available at:
Kouneiher, F., Charron, S. & Koechlin, E. (2009) Motivation and cognitive control in the human prefrontal cortex. Nature Neuroscience 12(7):939–45.
Krebs, R. M., Boehler, C. N., Roberts, K. C., Song, A. W. & Woldorff, M. G. (2011) The involvement of the dopaminergic midbrain and cortico-striatal-thalamic circuits in the integration of reward prospect and attentional task demands. Cerebral Cortex. Available at:
Krebs, R. M., Boehler, C. N. & Woldorff, M. G. (2010) The influence of reward associations on conflict processing in the Stroop task. Cognition 117(3):341–47. doi: 10.1016/j.cognition.2010.08.018.
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.
Lang, P. J., Davis, M. & Ohman, A. (2000) Fear and anxiety: Animal models and human cognitive psychophysiology. Journal of Affective Disorders 61(3):137–59. Available at:
Lavie, N. (1995) Perceptual load as a necessary condition for selective attention. Journal of Experimental Psychology: Human Perception and Performance 21(3):451–68. Available at:
Leon, M. I. & Shadlen, M. N. (1999) Effect of expected reward magnitude on the response of neurons in the dorsolateral prefrontal cortex of the macaque. Neuron 24(2):415–25. Available at:
Lindquist, K. A. & Barrett, L. F. (2012) A functional architecture of the human brain: Emerging insights from the science of emotion. Trends in Cognitive Sciences 16(11):533–40.
Liu, X., Hairston, J., Schrier, M. & Fan, J. (2011a) Common and distinct networks underlying reward valence and processing stages: A meta-analysis of functional neuroimaging studies. Neuroscience and Biobehavioral Reviews 35(5):1219–36.
Liu, Y. Y., Slotine, J. J. & Barabasi, A. L. (2011b) Controllability of complex networks. Nature 473(7346):167–73.
Loftus, E. F. & Klinger, M. R. (1992) Is the unconscious smart or dumb? American Psychologist 47(6):761–65. Available at:
Logan, G. D. (1988) Automaticity, resources, and memory: Theoretical controversies and practical implications. Human Factors 30(5):583–98. Available at:
MacLean, P. D. (1970) The triune brain, emotion, and scientific bias. In: The neurosciences second study program, ed. Schmitt, F. O., pp. 336–49. Rockefeller University Press.
MacLean, P. D. (1990) The triune brain in evolution: Role in paleocerebral functions. Plenum Press.
Marder, E. & Goaillard, J. M. (2006) Variability, compensation and homeostasis in neuron and network function. Nature Reviews Neuroscience 7(7):563–74.
Mather, M. & Sutherland, M. R. (2011) Arousal-biased competition in perception and memory. Perspectives on Psychological Science 6(2):114–33.
Mathews, A. & Mackinstosh, B. (1998) A cognitive model of selective processing in anxiety. Cognitive Therapy and Research 22(6):539–60.
Maunsell, J. H. (2004) Neuronal representations of cognitive state: Reward or attention? Trends in Cognitive Sciences 8(6):261–65. Available at:
Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K., Jerabek, P. A., Silva, J. A., Tekell, J. L., Martin, C. C., Lancaster, J. L. & Fox, P. T. (1999) Reciprocal limbic-cortical function and negative mood: Converging PET findings in depression and normal sadness. American Journal of Psychiatry 156(5):675–82. Available at:
McIntosh, A. R. (2000) Towards a network theory of cognition. Neural Networks 13(8–9):861–70. Available at:
Mechias, M. L., Etkin, A. & Kalisch, R. (2010) A meta-analysis of instructed fear studies: Implications for conscious appraisal of threat. NeuroImage 49(2):1760–68. Available at:
Mesulam, M. M. (1990) Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Annals of Neurology 28:597613.
Meunier, D., Achard, S., Morcom, A. & Bullmore, E. (2009) Age-related changes in modular organization of human brain functional networks. NeuroImage 44(3):715–23.
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A. & Wager, T. D. (2000) The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology 41(1):49100. Available at:
Mizuhiki, T., Richmond, B. J. & Shidara, M. (2012) Encoding of reward expectation by monkey anterior insular neurons. Journal of Neurophysiology 107(11):29963007.
Mobbs, D., Yu, R., Rowe, J. B., Eich, H., FeldmanHall, O. & Dalgleish, T. (2010) Neural activity associated with monitoring the oscillating threat value of a tarantula. Proceedings of the National Academy of Sciences of the United States of America 107(47):20582–86. Available at:
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:
Mohanty, A., Gitelman, D. R., Small, D. M. & Mesulam, M. M. (2008) The spatial attention network interacts with limbic and monoaminergic systems to modulate motivation-induced attention shifts. Cerebral Cortex 18(11):2604–13. Available at:
Moors, A. & De Houwer, J. (2006) Automaticity: A theoretical and conceptual analysis. Psychological Bulletin 132(2):297326. Available at:
Morecraft, R. J. & Tanji, J. (2009) Cingulofrontal interactions and the cingulate motor areas. In: Cingulate neurobiology and disease, ed. Vogt, B. A., pp. 113–44. Oxford University Press.
Moussa, M. N., Vechlekar, C. D., Burdette, J. H., Steen, M. R., Hugenschmidt, C. E. & Laurienti, P. J. (2011) Changes in cognitive state alter human functional brain networks. Frontiers in Human Neuroscience 5:83.
Naqvi, N. H. & Bechara, A. (2009) The hidden island of addiction: The insula. Trends in Neurosciences 32(1):5667.
Nauta, W. J. H. (1971) The problem of the frontal lobe: A reinterpretation. Journal of Psychiatric Research 8:167–87.
Navon, D. (1984) Resources – A theoretical soup stone? Psychological Review 91(2):216–34.
Neisser, U. (1976) Cognition and reality. Freeman.
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. 283308. Academic Press.
Newman, M. (2005) A measure of betweenness centrality based on random walks. Social networks 27(1):3954.
Newman, M. (2010) Networks: An introduction. Oxford University Press.
Norman, D. A. & Bobrow, D. G. (1975) On data-limited and resource-limited processes. Cognitive Psychology 7:4464.
Norman, D. A. & Shallice, T. (1986) Attention to action: Willed and automatic control of behavior. In: Consciousness and self-regulation, ed. Davidson, R. J., Schwartz, G. E. & Shapiro, D., pp. 118. Plenum.
Padmala, S., Lim, S.-L. & Pessoa, L. (2010) Pulvinar and affective significance: Responses track moment-to-moment visibility. Frontiers in Human Neuroscience 4:19.
Padmala, S., and Pessoa, L. (2010) Interactions between cognition and motivation during response inhibition. Neuropsychologia 48(2):558–65.
Padmala, S. & Pessoa, L. (2011) Reward reduces conflict by enhancing attentional control and biasing visual cortical processing. Journal of Cognitive Neuroscience 23(11):3419–32.
Panksepp, J. (1998) Affective neuroscience: The foundations of human and animal emotions. Oxford University Press.
Papez, J. W. (1937) A proposed mechanism of emotion. Archives of Neurology and Psychiatry 38:725–43.
Pashler, H. (1998) The psychology of attention. TheMIT Press.
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:
Paulus, M. P. & Stein, M. B. (2006) An insular view of anxiety. Biological Psychiatry 60(4):383–87.
Peck, C. J., Jangraw, D. C., Suzuki, M., Efem, R. & Gottlieb, J. (2009) Reward modulates attention independently of action value in posterior parietal cortex. Journal of Neuroscience 29(36):11182–91.
Pessoa, L. (2005) To what extent are emotional visual stimuli processed without attention and awareness? Current Opinion in Neurobiology 15(2):188–96. Available at:
Pessoa, L. (2008) On the relationship between emotion and cognition. Nature Reviews. Neuroscience 9(2):148–58. Available at:
Pessoa, L. (2009) How do emotion and motivation direct executive control? Trends in Cognitive Sciences 13(4):160–66.
Pessoa, L. (2013) The cognitive-emotional brain. From interactions to integration. MIT Press.
Pessoa, L. (2014) Understanding brain networks and brain organization. Physics of Life Reviews 11(3):400435.
Pessoa, L. & Adolphs, R. (2010) Emotion processing and the amygdala: From a “low road” to “many roads” of evaluating biological significance. Nature Reviews. Neurosciences 11(11):773–83. doi: 10.1038/nrn2920. Available at:
Pessoa, L. & Engelmann, J. B. (2010) Embedding reward signals into perception and cognition. Frontiers in Neuroscience 4:17. doi: 10.3389/fnins.2010.00017.
Pessoa, L., Gutierrez, E., Bandettini, P. & Ungerleider, L. (2002) Neural correlates of visual working memory: fMRI amplitude predicts task performance. Neuron 35(5):975–87. Available at:
Pessoa, L., Padmala, S., Kenzer, A. & Bauer, A. (2012) Interactions between cognition and emotion during response inhibition. Emotion 12(1):192–97.
Platt, M. L. & Huettel, S. A. (2008) Risky business: The neuroeconomics of decision making under uncertainty. Nature Neuroscience 11(4):398403.
Pochon, J. B., Levy, R., Fossati, P., Lehericy, S., Poline, J. B., Pillon, B., Le Bihan, D. & Dubois, B. (2002) The neural system that bridges reward and cognition in humans: An fMRI study. Proceedings of the National Academy of Sciences of the United States of America 99(8):5669–74. Available at:
Poldrack, R. A. (2006) Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Science 10(2):5963.
Poldrack, R. A. (2011) Inferring mental states from neuroimaging data: From reverse inference to large-scale decoding. Neuron 72(5):692–97.
Pourtois, G., Schettino, A. & Vuilleumier, P. (2013) Brain mechanisms for emotional influences on perception and attention: What is magic and what is not. Biological Psychology 92(3):492512. doi: 10.1016/j.biopsycho.2012.02.007.
Power, J. D., Schlaggar, B. L., Lessov-Schlaggar, C. N. & Petersen, S. E. (2013) Evidence for hubs in human functional brain networks. Neuron 79(4):798813.
Pribram, K. H. & McGuinness, D. (1975) Arousal, activation, and effort in the control of attention. Psychological Review 82(2):116–49. Available at:
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.
Redgrave, P. & Gurney, K. (2006) The short-latency dopamine signal: A role in discovering novel actions? Nature Reviews Neuroscience 7(12):967–75. Available at:
Redgrave, P., Prescott, T. J. & Gurney, K. (1999) Is the short-latency dopamine response too short to signal reward error? Trends in Neurosciences 22(4):146–51. Available at:
Rempel-Clower, N. L. & Barbas, H. (2000) The laminar pattern of connections between prefrontal and anterior temporal cortices in the Rhesus monkey is related to cortical structure and function. Cerebral Cortex 10(9):851–65. Available at:
Robbins, T. W. & Everitt, B. J. (2007) A role for mesencephalic dopamine in activation: Commentary on Berridge (2006). Psychopharmacology (Berl) 191(3):433–37. Available at:
Robinson, J. L., Laird, A. R., Glahn, D. C., Blangero, J., Sanghera, M. K., Pessoa, L., Fox, P. M., Uecker, A., Friehs, G., Young, K. A., Griffin, J. L., Lovallo, W. R. & Fox, P. T. (2012) The functional connectivity of the human caudate: An application of meta-analytic connectivity modeling with behavioral filtering. NeuroImage 60(1):117–29.
Rubinov, M. & Sporns, O. (2010) Complex network measures of brain connectivity: Uses and interpretations. NeuroImage 52(3):1059–69.
Salamone, J. D., Correa, M., Farrar, A. M., Nunes, E. J. & Pardo, M. (2009) Dopamine, behavioral economics, and effort. Frontiers in Behavioral Neuroscience 3:13. Available at:
Saleem, K. S., Kondo, H. & Price, J. L. (2008) Complementary circuits connecting the orbital and medial prefrontal networks with the temporal, insular, and opercular cortex in the macaque monkey. Journal of Comparative Neurology 506(4):659–93. Available at:
Samanez-Larkin, G. R., Gibbs, S. E., Khanna, K., Nielsen, L., Carstensen, L. L. & Knutson, B. (2007) Anticipation of monetary gain but not loss in healthy older adults. Nature Neuroscience 10(6):787–91.
Sarter, M., Gehring, W. J. & Kozak, R. (2006) More attention must be paid: The neurobiology of attentional effort. Brain Research Reviews 51(2):145–60.
Sarter, M., Hasselmo, M. E., Bruno, J. P. & Givens, B. (2005) Unraveling the attentional functions of cortical cholinergic inputs: Interactions between signal-driven and cognitive modulation of signal detection. Brain Research Reviews 48(1):98111.
Schneidman, E., Berry, M. J. II, Segev, R. & Bialek, W. (2006) Weak pairwise correlations imply strongly correlated network states in a neural population. Nature 440(7087):1007–12.
Serences, J. T. & Yantis, S. (2006) Selective visual attention and perceptual coherence. Trends in Cognitive Sciences 10(1):3845. Available at:
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:
Shiffrin, R. M. & Schneider, W. (1977) Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review 84(2):127.
Simmons, A., Strigo, I., Matthews, S. C., Paulus, M. P. & Stein, M. B. (2006) Anticipation of aversive visual stimuli is associated with increased insula activation in anxiety-prone subjects. Biological Psychiatry 60(4):402409.
Singer, T., Critchley, H. D. & Preuschoff, K. (2009) A common role of insula in feelings, empathy and uncertainty. Trends in Cognitive Sciences 13(8):334–40. Available at:
Small, D. M., Gitelman, D., Simmons, K., Bloise, S. M., Parrish, T. & Mesulam, M. M. (2005) Monetary incentives enhance processing in brain regions mediating top-down control of attention. Cerebral Cortex 15(12):1855–65. Available at:
Somerville, L. H. & Casey, B. J. (2010) Developmental neurobiology of cognitive control and motivational systems. Current Opinion in Neurobiology 20(2):236–41.
Stuss, D. T. & Knight, R. T., eds. (2002) Principles of frontal lobe function. Oxford University Press.
Summerfield, C. & Koechlin, E. (2009) Decision making and prefrontal executive function. MIT Press.
Taylor, S. F., Welsh, R. C., Wager, T. D., Phan, K. L., Fitzgerald, K. D. & Gehring, W. J. (2004) A functional neuroimaging study of motivation and executive function. NeuroImage 21(3):1045–54.
Thompson, E. (2007) Mind in life: Biology, phenomenology, and the sciences of the mind. Harvard University Press.
Thompson, E. & Varela, F. J. (2001) Radical embodiment: Neural dynamics and consciousness. Trends in Cognitive Sciences 5(10):418–25. Available at:
Tombu, M. N., Asplund, C. L., Dux, P. E., Godwin, D., Martin, J. W. & Marois, R. (2011) A Unified attentional bottleneck in the human brain. Proceedings of the National Academy of Science of the United States of America 108(33):13426–31.
Toro, R., Fox, P. T. & Paus, T. (2008) Functional coactivation map of the human brain. Cerebral Cortex 18(11):2553–59.
Uddin, L. Q., Kinnison, J., Pessoa, L. & Anderson, M. L. (2013) Beyond the tripartite cognition-emotion-interoception model of the human insular cortex. Journal of Cognitive Neuroscience 26(1):1627.
Van Snellenberg, J. X. & Wager, T. D. (2010) Cognitive and motivational functions of the human prefrontal cortex. In: Luria's legacy in the 21st century, ed. Christensen, A.-L., Goldberg, E. & Bougakov, D., pp. 3061. Oxford University Press.
Varela, F. J., Thompson, E. & Rosch, E. (1991) The embodied mind: Cognitive science and human experience. MIT Press.
Vlachos, I., Aertsen, A. & Kumar, A. (2012) Beyond statistical significance: Implications of network structure on neuronal activity. PLoS Computational Biology 8(1):e1002311.
Vogt, B. A., ed. (2008) Cingulate neurobiology and disease. Oxford University Press.
Walton, M. E., Rudebeck, P. H., Bannerman, D. M. & Rushworth, M. F. (2007) Calculating the cost of acting in frontal cortex. Annals of the New York Academy of Sciences 1104:340–56. Available at:
Wang, J., Zuo, X. & He, Y. (2010) Graph-based network analysis of resting-state functional MRI. Frontiers in Systems Neuroscience 4:16.
Watanabe, M. (1990) Prefrontal unit activity during associative learning in monkey. Experimental Brain Research 80:296309.
Watanabe, M. (1996) Reward expectancy in primate prefrontal neurons. Nature 382:629–32.
Whalen, P. J. (1998) Fear, vigilance, and ambiguity: Initial neuroimaging studies of the human amygdala. Current Directions in Psychological Science 7(6):177–88.
Wolfe, J. M. (1994) Guided search 2.0: A revised model of visual search. Psychonomic Bulletin & Review 1(2):202–38.
Yarkoni, T., Poldrack, R. A., Van Essen, D. C. & Wager, T. D. (2010) Cognitive neuroscience 2.0: Building a cumulative science of human brain function. Trends in Cognitive Sciences 14(11):489–96.
Zald, D. H. & Rauch, S. L. (2007) The orbitofrontal cortex. Oxford University Press.
Zikopoulos, B. & Barbas, H. (2012) Pathways for emotions and attention converge on the thalamic reticular nucleus in primates. Journal of Neuroscience 32(15):5338–50.
Zink, C. F., Pagnoni, G., Martin-Skurski, M. E., Chappelow, J. C. & Berns, G. S. (2004) Human striatal responses to monetary reward depend on saliency. Neuron 42(3):509–17. Available at:
Zuo, X. N., Ehmke, R., Mennes, M., Imperati, D., Castellanos, F. X., Sporns, O. & Milham, M. P. (2012) Network centrality in the human functional connectome. Cerebral Cortex 22(8):1862–75.
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Behavioral and Brain Sciences
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