The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
Emotion processing and the amygdala: from a’low road’to’many roads’ of evaluating biological significance.
Open accessAbstract
A subcortical pathway through the superior colliculus and pulvinar to the amygdala is commonly assumed to mediate the non-conscious processing of affective visual stimuli. We review anatomical and physiological data that argue against the notion that such a pathway plays a prominent part in processing affective visual stimuli in humans. Instead, we propose that the primary role of the amygdala in visual processing, like that of the pulvinar, is to coordinate the function of cortical networks during evaluation of the biological significance of affective visual stimuli. Under this revised framework, the cortex has a more important role in emotion processing than is traditionally assumed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Emotion is typically elicited based on one’s evaluation of the internal or external stimuli (Ellsworth and Scherer, 2003; Pessoa and Adolphs, 2010).”
From Motivational and Affective Factors Underlying Consumer Dropout and Transactional Success in eCommerce: An Overview (2020) · cites this paper as Pessoa and Adolphs, 2010
Experimental — accuracy not yet measuredIn the citing paper
“These include automatic salience evaluation, [ 4 9 8 _ T D $ D I F F ] inhibition/interruption of ongoing activity[ 4 9 9 _ T D $ D I F F ] , alerting, salience-driven switching, and reflexive orienting [40,43,47,48].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [47]
In the citing paper
“Another bottom-up process, which plays a crucial role in anxiety, is automatic evaluation of the affective and motivational significance of stimuli (Pessoa & Adolphs, 2010;Pessoa, 2009;Vuilleumier & Driver, 2007;Vuilleumier, 2005); the functions of which are discussed later (Section 4.3.1).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
In the citing paper
“A more recent view, put forward by Pessoa and Adolphs (2010), is that the primary role of the amygdala is to coordinate and modulate functioning of cortical networks during the evaluation of the biological or motivational significance of stimuli.”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa and Adolphs (2010)
In the citing paper
“Thus, the present framework encompasses the view that bottom-up stimulus-salience evaluation processes play an important role in contributing to anxiety, and that evaluation of the motivational importance of a stimulus, which includes its threat value, can occur outside awareness and depends on automatic integration of information from multiple sources (Pessoa & Adolphs, 2010).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
In the citing paper
“The amygdala consequently biases the allocation of processing resources to stimuli by modulating other brain networks in order to prioritise selection of motivationally salient information (Pessoa & Adolphs, 2010).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
In the citing paper
“They conclude from their review of neuroscience research that cortical regions are involved in both conscious and nonconscious processing of emotional information; and these multiple parallel sources of information are automatically integrated in subcortical regions, such as the amygdala and pulvinar.”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
In the citing paper
“Bottom-up stimulus-salience-evaluation processes play a key role not only in assessing the motivational importance and threat value of stimuli by integrating multiple sources of information”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
In the citing paper
“but also in modulating activity in other bottom-up and top-down processes to prioritise motivationally salient information (Pessoa & Adolphs, 2010).”
From Anxiety and attention to threat: cognitive mechanisms and treatment with attention bias modification (2016) · cites this paper as Pessoa & Adolphs, 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
(1996) · Cited by 3,692
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538
Fears, 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
The amygdala: vigilance and emotion
Davis, M., & Whalen, P. J. (2001) · Molecular Psychiatry · doi:10.1038/sj.mp.4000812 · Cited by 2,882
A cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498
On the relationship between emotion and cognition
Pessoa, L. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2317 · Cited by 2,350
Self-citationThe distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 1×
“1b ), providing the means for faster information transmission to the inferotemporal corte”
Whalen, P. J., Rauch, S. L., Etcoff, N. L., McInerney, S. C., Lee, M. B., & Jenike, M. A. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-01-00411.1998 · Cited by 2,205
Flagged first, then by citations
Research works printed but not linked: 2
- Pessoa, L., Oliveira, L. & Pereira, M. G. in Handbook of Human Affective Neuroscience (eds Armony, J. L. & Vuilleumier, P.) (Cambridge Univ. Press, Cambridge, UK, 2011).
- Robinson, D. L. & Cowie, R. J. in The Thalamus (ed. McCormick, D.) 53–92 (Elsevier, New York, 1997).
Cited by
Sorted by citations
Items 201–300 of 999
Ten problems and solutions when predicting individual outcome from lesion site after stroke
Price, C. J., Hope, T. M. H., & Seghier, M. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.006 · Cited by 98
Alexithymia and automatic processing of emotional stimuli: a systematic review
Donges, U., & Suslow, T. (2017) · Reviews in the Neurosciences · doi:10.1515/revneuro-2016-0049 · Cited by 106
Functional neuroanatomy in panic disorder: Status quo of the research
Sobanski, T., & Wagner, G. (2017) · World Journal of Psychiatry · doi:10.5498/wjp.v7.i1.12 · Cited by 99
Soares, S. C., Maior, R. S., Isbell, L. A., Tomaz, C. A. B., & Nishijo, H. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00067 · Cited by 104
Understanding smell—The olfactory stimulus problem
Auffarth, B. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.06.009 · Cited by 105
Emotion Classification Using EEG Brain Signals and the Broad Learning System
Issa, S., Peng, Q., & You, X. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.2969686 · Cited by 97
Poeppl, T. B., Langguth, B., Laird, A. R., & Eickhoff, S. B. (2013) · Human Brain Mapping · doi:10.1002/hbm.22262 · Cited by 99
Beyond brain regions: Network perspective of cognition–emotion interactions
Pessoa, L. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11001567 · Cited by 95
Self-citationA multisensory perspective onto primate pulvinar functions
Froesel, M., Cappe, C., & Hamed, S. B. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.043 · Cited by 90
Tsuchida, A., & Fellows, L. K. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr370 · Cited by 103
Abivardi, A., & Bach, D. R. (2017) · Human Brain Mapping · doi:10.1002/hbm.23639 · Cited by 97
Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features
Yang, F. S., Zhao, X., Jiang, W., Gao, P., & Liu, G. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00053 · Cited by 94
Kaiser, M. D., & Pelphrey, K. A. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.05.005 · Cited by 102
The voice of conscience: neural bases of interpersonal guilt and compensation
Yu, H., Hu, J., Hu, L., & Zhou, X. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst090 · Cited by 94
Emotion in the brain: of low roads, high roads and roads less travelled
de Gelder, B., van Honk, J., & Tamietto, M. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2920-c1 · Cited by 101
Blindsight and unconscious vision: what they teach us about the human visual system
Ajina, S., & Bridge, H. (2017) · The Neuroscientist · doi:10.1177/1073858416673817 · Cited by 93
The social neuroscience of race-based and status-based prejudice
Mattan, B. D., Wei, K. Y., Cloutier, J., & Kubota, J. T. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.04.010 · Cited by 101
A human colliculus-pulvinar-amygdala pathway encodes negative emotion
Kragel, P. A., Čeko, M., Theriault, J. E., Chen, D., Satpute, A. B., Wald, L. L., Lindquist, M. A., Barrett, L. F., & Wager, T. D. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.001 · Cited by 101
Anderson, E., Siegel, E. H., White, D. A., & Barrett, L. F. (2012) · Emotion · doi:10.1037/a0027514 · Cited by 92
Prete, G., Laeng, B., Fabri, M., Foschi, N., & Tommasi, L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.002 · Cited by 98
Neuronal responses to face-like and facial stimuli in the monkey superior colliculus
Nguyen, M. N., Matsumoto, J., Hori, E., Maior, R. S., Tomaz, C. A. B., Tran, A. H., Ono, T., & Nishijo, H. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00085 · Cited by 97
Theta Signal as the Neural Signature of Social Exclusion
Cristofori, I., Moretti, L., Harquel, S., Posada, A., Deiana, G., Isnard, J., Mauguı̀ere, F., & Sirigu, A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs236 · Cited by 101
AbdulSabur, N. Y., Xu, Y., Liu, S., Chow, H. M., Baxter, M., Carson, J., & Braun, A. R. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.017 · Cited by 99
Tottenham, N., Shapiro, M., Telzer, E. H., & Humphreys, K. L. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2011.01128.x · Cited by 91
Thalamus-related anomalies as candidate mechanism-based biomarkers for psychosis
Steullet, P. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.05.027 · Cited by 90
Avoiding math on a rapid timescale: Emotional responsivity and anxious attention in math anxiety
Pizzie, R. G., & Kraemer, D. J. M. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.08.004 · Cited by 91
Effective Connectivity during Processing of Facial Affect: Evidence for Multiple Parallel Pathways
Dima, D., Stephan, K. E., Roiser, J. P., Friston, K. J., & Frangou, S. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2400-11.2011 · Cited by 91
Timbie, C. M., & Barbas, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2157-15.2015 · Cited by 90
Temporal dynamics of motor cortex excitability during perception of natural emotional scenes
Borgomaneri, S., Gazzola, V., & Avenanti, A. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst139 · Cited by 101
Top-Down Control of Visual Responses to Fear by the Amygdala
Nicholas Furl, A., Henson, R. N., Friston, K. J., & Calder, A. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2992-13.2013 · Cited by 94
Neural microgenesis of personally familiar face recognition
Ramon, M., Vizioli, L., Liu‐Shuang, J., & Rossion, B. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414929112 · Cited by 87
Emotional Tears Facilitate the Recognition of Sadness and the Perceived Need for Social Support
Balsters, M. J. H., Krahmer, E., Swerts, M. G. J., & Vingerhoets, A. J. J. M. (2013) · Evolutionary Psychology · doi:10.1177/147470491301100114 · Cited by 89
Schindler, S., Bruchmann, M., Gathmann, B., Moeck, R., & Straube, T. (2020) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2020.12.011 · Cited by 69
Conduct problems in youth and the RDoC approach: A developmental, evolutionary-based view
Fonagy, P., & Luyten, P. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.08.010 · Cited by 94
Neuronal responses to face-like stimuli in the monkey pulvinar
Nguyen, M. N., Hori, E., Matsumoto, J., Tran, A. H., Ono, T., & Nishijo, H. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12020 · Cited by 87
Associative Attitude Learning: A Closer Look at Evidence and How It Relates to Attitude Models
Corneille, O., & Stahl, C. (2019) · Personality and Social Psychology Review · doi:10.1177/1088868318763261 · Cited by 129
Affective processing requires awareness.
Lähteenmäki, M., Hyönä, J., Koivisto, M., & Nummenmaa, L. (2015) · Journal of Experimental Psychology General · doi:10.1037/xge0000040 · Cited by 86
Food labels promote healthy choices by a decision bias in the amygdala
Fabian Grabenhorst, B., Schulte, F. P., Maderwald, S., & Brand, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.012 · Cited by 92
Top-down modulation of attention by emotion
Mohanty, A., & Sussman, T. J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00102 · Cited by 101
Visual Complexity and Affect: Ratings Reflect More Than Meets the Eye
Madan, C. R., Bayer, J., Gamer, M., Lonsdorf, T. B., & Sommer, T. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02368 · Cited by 99
In the face of fear: Anxiety sensitizes defensive responses to fearful faces
Grillon, C., & Charney, D. R. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01268.x · Cited by 86
Interplay of Amygdala and Cingulate Plasticity in Emotional Fear
Toyoda, H., Li, X., Wu, L., Zhao, M., Descalzi, G., Chen, T., Koga, K., & Zhuo, M. (2011) · Neural Plasticity · doi:10.1155/2011/813749 · Cited by 90
Emotional Decoding Abilities in Alzheimer's Disease: A Meta-Analysis
Klein-Koerkamp, Y., Beaudoin, M., Baciu, M., & Hot, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120553 · Cited by 99
Sladky, R., Höflich, A., Atanelov, J., Kraus, C., Baldinger, P., Moser, E., Lanzenberger, R., & Windischberger, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050050 · Cited by 85
Emotion Regulation Using Virtual Environments and Real-Time fMRI Neurofeedback
Lorenzetti, V., Melo, B. R. P., Basílio, R., Suo, C., Yücel, M., Tierra-Criollo, C. J., & Moll, J. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00390 · Cited by 87
A brain network instantiating approach and avoidance motivation
Spielberg, J. M., Miller, G. A., Warren, S. L., Engels, A. S., Crocker, L. D., Banich, M. T., Sutton, B. P., & Heller, W. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01443.x · Cited by 84
Précis on The Cognitive-Emotional Brain
Pessoa, L. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x14000120 · Cited by 84
Self-citationSynchronous caregiving from birth to adulthood tunes humans’ social brain
Ulmer-Yaniv, A., Salomon, R., Waidergoren, S., Shimon-Raz, O., Djalovski, A., & Feldman, R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2012900118 · Cited by 86
Subcortical connections of area V4 in the macaque
Gattass, R., Galkin, T. W., Desimone, R., & Ungerleider, L. G. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23513 · Cited by 87
Challis, C., & Berton, O. (2015) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5b00007 · Cited by 87
Competing for attentional priority: Temporary goals versus threats.
Vogt, J., Houwer, J. D., Crombez, G., & Damme, S. V. (2012) · Emotion · doi:10.1037/a0027204 · Cited by 93
Gayet, S., Paffen, C. L. E., Belopolsky, A. V., Theeuwes, J., & der Stigchel, S. V. (2016) · Cognition · doi:10.1016/j.cognition.2016.01.009 · Cited by 83
The effects of trauma on brain and body: A unifying role for the midbrain periaqueductal gray
Terpou, B. A., Harricharan, S., McKinnon, M. C., Frewen, P., Jetly, R., & Lanius, R. A. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24447 · Cited by 82
Theoretical Approaches to Emotion and Its Measurement
Coppin, G., & Sander, D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-08-100508-8.00001-1 · Cited by 92
Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence
Odegaard, B., Grimaldi, P., Cho, S. H., Peters, M. A. K., Lau, H. C., & Basso, M. A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711628115 · Cited by 78
Advancing understanding of affect labeling with dynamic causal modeling
Torrisi, S. J., Lieberman, M. D., Bookheimer, S. Y., & Altshuler, L. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.025 · Cited by 81
A Role for the Insular Cortex in Long-Term Memory for Context-Evoked Drug Craving in Rats
Contreras, M., Billeke, P. B., Vicencio, S., Madrid, C., Perdomo, G., González, M., & Torrealba, F. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.59 · Cited by 81
Yrttiaho, S., Forssman, L., Kaatiala, J., & Leppänen, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100811 · Cited by 85
Culture and facial expressions of emotion
Jack, R. E. (2013) · Visual Cognition · doi:10.1080/13506285.2013.835367 · Cited by 80
Rapid and Highly Resolving: Affective Evaluation of Olfactorily Conditioned Faces
Steinberg, C., Dobel, C., Schupp, H. T., Kissler, J. M., Elling, L., Pantev, C., & Junghöfer, M. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00067 · Cited by 84
Herrmann, M. J., Boehme, S., Becker, M. P. I., Tupak, S. V., Guhn, A., Schmidt, B., Brinkmann, L., & Straube, T. (2015) · Human Brain Mapping · doi:10.1002/hbm.23088 · Cited by 84
Ketamine administration reduces amygdalo‐hippocampal reactivity to emotional stimulation
Scheidegger, M., Henning, A., Walter, M., Lehmann, M., Kraehenmann, R., Boeker, H., Seifritz, E., & Grimm, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23148 · Cited by 79
Mueller, S. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00327 · Cited by 92
Affective blindsight relies on low spatial frequencies
Burra, N., Hervais‐Adelman, A., Celeghin, A., de Gelder, B., & Pegna, A. J. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.10.009 · Cited by 85
Oxytocin and socioemotional aging: current knowledge and future trends
Ebner, N. C., Maura, G. M., MacDonald, K., Westberg, L., & Fischer, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00487 · Cited by 78
Rabellino, D., Tursich, M., Frewen, P. A., Daniels, J. K., Densmore, M., Théberge, J., & Lanius, R. A. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12418 · Cited by 78
Intact perception but abnormal orientation towards face-like objects in young children with ASD
Guillon, Q., Rogé, B., Afzali, M. H., Baduel, S., Kruck, J., & Hadjikhani, N. K. (2016) · Scientific Reports · doi:10.1038/srep22119 · Cited by 81
Oxytocin attenuates neural reactivity to masked threat cues from the eyes
Kanat, M., Heinrichs, M., Schwarzwald, R., & Domes, G. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.183 · Cited by 77
A systematic review and meta-analysis of the evidence for unaware fear conditioning
Mertens, G., & Engelhard, I. M. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.11.012 · Cited by 81
The Naked Truth: The Face and Body Sensitive N170 Response Is Enhanced for Nude Bodies
Hietanen, J. K., & Nummenmaa, L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024408 · Cited by 77
Response of neural reward regions to food cues in autism spectrum disorders
Cascio, C. J., Foss-Feig, J. H., Heacock, J. L., Newsom, C. R., Cowan, R. L., Benningfield, M. M., Rogers, B. P., & Cao, A. (2012) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-4-9 · Cited by 76
Amygdala subregions differentially respond and rapidly adapt to threatening voices
Frühholz, S., & Grandjean, D. (2012) · Cortex · doi:10.1016/j.cortex.2012.08.003 · Cited by 76
Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition
Wolf, R. C., Philippi, C. L., Motzkin, J. C., Başkaya, M. K., & Koenigs, M. R. (2014) · Brain · doi:10.1093/brain/awu063 · Cited by 85
Li, M., Huang, C., Deng, W., Ma, X., Han, Y., Wang, Q., Li, Z., Guo, W., Li, Y., Jiang, L., et al. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.044 · Cited by 77
Practical Applications of Neuroscience-Informed Art Therapy
King, J. L., Kaimal, G., Konopka, L. M., Belkofer, C. M., & Strang, C. E. (2019) · Art Therapy · doi:10.1080/07421656.2019.1649549 · Cited by 84
Auditory cortex involvement in emotional learning and memory
Grosso, A., Cambiaghi, M., Concina, G., Sacco, T., & Sacchetti, B. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.04.068 · Cited by 76
Neural correlates of different self domains
Araújo, H. J., Kaplan, J., Damásio, H., & Damásio, A. R. (2015) · Brain and Behavior · doi:10.1002/brb3.409 · Cited by 80
If it bleeds, it leads: separating threat from mere negativity
Kveraga, K., Boshyan, J., Adams, R. B., Mote, J., Betz, N., Ward, N., Hadjikhani, N. K., Bar, M., & Barrett, L. F. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu007 · Cited by 77
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Zeng, K.-H., Chou, S.-H., Chan, F.-H., Niebles, J. C., & Sun, M. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.146 · Cited by 75
Binding neutral information to emotional contexts: Brain dynamics of long-term recognition memory
Ventura‐Bort, C., Löw, A., Wendt, J., Moltó, J., Poy, R., Dolcos, F., Hamm, A. O., & Weymar, M. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0385-0 · Cited by 77
Redlich, R., Grotegerd, D., Opel, N., Kaufmann, C., Zwitserlood, P., Kugel, H., Heindel, W., Donges, U.-S., Suslow, T., Arolt, V., et al. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu055 · Cited by 73
Impact of early life adversities on human brain functioning: A coordinate-based meta-analysis
Kraaijenvanger, E. J., Pollok, T. M., Monninger, M., Kaiser, A., Brandeis, D., Banaschewski, T., & Holz, N. E. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.008 · Cited by 83
Neuroscientific Evidence for Processing Without Awareness
Mudrik, L., & Deouell, L. Y. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110920-033151 · Cited by 84
Almeida, I. A. T., Soares, S. C., & Castelo-Branco, M. S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129949 · Cited by 79
Affective coding: the emotional dimension of agency
Gentsch, A., & Synofzik, M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00608 · Cited by 85
Top-down modulation of the perception of other people in schizophrenia and autism
Cook, J. L., Barbalat, G., & Blakemore, S. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00175 · Cited by 86
Cambiaghi, M., Grosso, A., Likhtik, E., Mazziotti, R. M., Concina, G., Renna, A., Sacco, T., Gordon, J. A., & Sacchetti, B. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2351-15.2016 · Cited by 73
Vanlessen, N., Raedt, R. D., Koster, E. H. W., & Pourtois, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.001 · Cited by 82
Attentional threat biases and their role in anxiety: A neurophysiological perspective
Wieser, M. J., & Keil, A. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.05.004 · Cited by 72
The thalamus as a relay station and gatekeeper: relevance to brain disorders
Moustafa, A. A., McMullan, R. D., Rostron, B., Hewedi, D. H., & Haladjian, H. H. (2017) · Reviews in the Neurosciences · doi:10.1515/revneuro-2016-0067 · Cited by 71
The two-process theory of biological motion processing
Hirai, M., & Senju, A. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.010 · Cited by 74
Hornberger, M., Yew, B., Gilardoni, S., Mioshi, E., Gleichgerrcht, E. L., Manes, F. F., & Hodges, J. R. (2012) · Human Brain Mapping · doi:10.1002/hbm.22200 · Cited by 75
Rausch, A., Zhang, W., Haak, K. V., Mennes, M., Hermans, E. J., van Oort, E. S. B., van Wingen, G. A., Beckmann, C. F., Buitelaar, J. K., & Groen, W. B. (2016) · Molecular Autism · doi:10.1186/s13229-015-0060-x · Cited by 76
The neuropathology of bipolar disorder: systematic review and meta-analysis
Harrison, P. J., Colbourne, L., & Harrison, C. H. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0213-3 · Cited by 76
Koller, K., Rafal, R. D., Platt, A., & Mitchell, N. D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.01.027 · Cited by 71
Disentangling the influences of multiple thalamic nuclei on prefrontal cortex and cognitive control
Phillips, J. M., Kambi, N. A., Redinbaugh, M. J., Mohanta, S., & Saalmann, Y. B. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.042 · Cited by 75
Premenstrual dysphoric disorder and prefrontal reactivity during anticipation of emotional stimuli
Gingnell, M., Bannbers, E., Wikström, J., Fredrikson, M., & Poromaa, I. S. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2013.08.002 · Cited by 69
Review on Neural Correlates of Emotion Regulation and Music: Implications for Emotion Dysregulation
Hou, J., Song, B., Chen, A. C. N., Sun, C., Zhou, J., Zhu, H., & Beauchaine, T. P. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00501 · Cited by 85
Emotion-induced loss aversion and striatal-amygdala coupling in low-anxious individuals
Charpentier, C. J., Martino, B. D., Sim, A. L., Sharot, T., & Roiser, J. P. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv139 · Cited by 73
Roesmann, K., Zwanzger, P., Nordt, M., Eden, A. S., Laeger, I., Zwitserlood, P., Kissler, J. M., Junghöfer, M., & Dobel, C. (2012) · Human Brain Mapping · doi:10.1002/hbm.22220 · Cited by 72
Metadata
- Authors
- Pessoa, L., & Adolphs, R.
- Affiliations
- Indiana University Bloomington (US)
- California Institute of Technology (US)
- Corresponding author
- Pessoa, Luiz
- Adolphs, Ralph
- Venue
- Nature Reviews Neuroscience
- Published
- 2010-11
- Volume
- 11
- Issue
- 11
- Pages
- 773-782
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC3025529
- OpenAlex
- W2083433785
- Cited by
- 1,794
- References
- 141
- Citations by year
- 2026: 95 · 2025: 106 · 2024: 87 · 2023: 79 · 2022: 99 · 2021: 100 · 2020: 118 · 2019: 122 · 2018: 112 · 2017: 154 · 2016: 132 · 2015: 116 · 2014: 161 · 2013: 126 · 2012: 120
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Science Foundation
- Simons Foundation
- National Institutes of Health
- National Institute of Mental Health (R01MH071589, R01MH080721)
- National Institute of Neurological Disorders and Stroke (P01NS019632)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- amygdala, emotional processing, subcortical pathways, superior colliculus, pulvinar, unconscious processes, cortical networks, primate brain
- MeSH terms
- Amygdala, Animals, Cerebral Cortex, Emotions, Biological Evolution, Humans, Models, Biological, Neural Pathways, Photic Stimulation, Pulvinar
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
