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 101–200 of 999
Emotion regulation, attention to emotion, and the ventral attentional network
Viviani, R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00746 · Cited by 159
Liebenthal, E., Silbersweig, D., & Stern, E. R. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00506 · Cited by 153
Miskovic, V., & Keil, A. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01398.x · Cited by 147
Parasuraman, R., & Jiang, Y. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.040 · Cited by 154
Gingnell, M., Engman, J., Frick, A., Moby, L., Wikström, J., Fredrikson, M., & Poromaa, I. S. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.11.006 · Cited by 143
A Common Neural Code for Perceived and Inferred Emotion
Skerry, A. E., & Saxe, R. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1676-14.2014 · Cited by 149
Ferreira, A. C. E., Neves, P., & Gozzelino, R. (2019) · Pharmaceuticals · doi:10.3390/ph12030126 · Cited by 148
Neurons in the human amygdala selective for perceived emotion
Wang, S., Tudusciuc, O., Mamelak, A. N., Ross, I. B., Adolphs, R., & Rutishauser, U. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323342111 · Cited by 150
Self-citationThe multifaceted abstract brain
Desai, R. H., Reilly, M., & van Dam, W. O. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0122 · Cited by 153
Affective Computing: Recent Advances, Challenges, and Future Trends
Pei, G., Li, H., Lu, Y., Wang, Y., Hua, S., & Li, T. (2023) · Intelligent Computing · doi:10.34133/icomputing.0076 · Cited by 180
Bidirectional communication between amygdala and fusiform gyrus during facial recognition
Herrington, J. D., Taylor, J. M., Grupe, D. W., Curby, K. M., & Schultz, R. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.072 · Cited by 146
Neural Substrates of Childhood Anxiety Disorders
Blackford, J. U., & Pine, D. S. (2012) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2012.05.002 · Cited by 138
Garcı́a-Larrea, L., & Bastuji, H. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.10.007 · Cited by 150
Physiology of Erection and Pathophysiology of Erectile Dysfunction
MacDonald, S. M., & Burnett, A. L. “. (2021) · Urologic Clinics of North America · doi:10.1016/j.ucl.2021.06.009 · Cited by 147
From affective blindsight to emotional consciousness
Celeghin, A., de Gelder, B., & Tamietto, M. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2015.05.007 · Cited by 137
Decoding the neural representation of affective states
Baucom, L. B., Wedell, D. H., Wang, J., Blitzer, D. N., & Shinkareva, S. V. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.037 · Cited by 139
Amygdala Response to Emotional Stimuli without Awareness: Facts and Interpretations
Diano, M., Celeghin, A., Bagnis, A., & Tamietto, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.02029 · Cited by 187
Stein, T., Sterzer, P., & Peelen, M. V. (2012) · Cognition · doi:10.1016/j.cognition.2012.06.005 · Cited by 143
Human amygdala stimulation effects on emotion physiology and emotional experience
Inman, C. S., Bijanki, K. R., Bass, D. I., Gross, R. E., Hamann, S. B., & Willie, J. T. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.019 · Cited by 144
The Olfactory Tubercle Encodes Odor Valence in Behaving Mice
Gadziola, M. A., Tylicki, K. A., Christian, D. L., & Wesson, D. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4750-14.2015 · Cited by 137
Spontaneous blink rate as an index of attention and emotion during film clips viewing
Maffei, A., & Angrilli, A. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.02.037 · Cited by 133
Neural substrates of child irritability in typically developing and psychiatric populations
Perlman, S. B., Jones, B. M., Wakschlag, L. S., Axelson, D., Birmaher, B. B., & Phillips, M. L. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.003 · Cited by 137
Rafal, R. D., Koller, K., Bultitude, J. H., Mullins, P. G., Ward, R. D., Mitchell, A. S., & Bell, A. H. (2015) · Journal of Neurophysiology · doi:10.1152/jn.01016.2014 · Cited by 133
Naturalistic Stimuli in Affective Neuroimaging: A Review
Saarimäki, H. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.675068 · Cited by 147
Threat-Related Attention Bias Variability and Posttraumatic Stress
Naim, R., Abend, R., Wald, I., Eldar, S., Levi, O., Fruchter, E., Ginat, K., Halpern, P., Sipos, M. L., Adler, A. B., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14121579 · Cited by 147
Top-down and bottom-up factors in threat-related perception and attention in anxiety
Sussman, T. J., Jin, J., & Mohanty, A. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.08.006 · Cited by 145
The structural and functional brain networks that support human social networks
Noonan, M. P., Mars, R. B., Sallet, J., Dunbar, R. I. M., & Fellows, L. K. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.019 · Cited by 131
The hippocampus reevaluated in unconscious learning and memory: at a tipping point?
Hannula, D. E., & Greene, A. J. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00080 · Cited by 139
Emergent processes in cognitive-emotional interactions
Pessoa, L. (2010) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2010.12.4/lpessoa · Cited by 141
Self-citationImmature integration and segregation of emotion-related brain circuitry in young children
Qin, S., Young, C. B., Supekar, K., Uddin, L. Q., & Menon, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120408109 · Cited by 130
Automaticity in anxiety disorders and major depressive disorder
Teachman, B. A., Joormann, J., Steinman, S. A., & Gotlib, I. H. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.06.004 · Cited by 130
Rutishauser, U., Mamelak, A. N., & Adolphs, R. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.03.001 · Cited by 133
Self-citationEmotional targets: Evaluative categorization as a function of context and content
Weinberg, A., Hilgard, J., Bartholow, B. D., & Hajcak, G. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.01.023 · Cited by 135
Comment: The Appraising Brain: Towards a Neuro-Cognitive Model of Appraisal Processes in Emotion
Brosch, T., & Sander, D. (2013) · Emotion Review · doi:10.1177/1754073912468298 · Cited by 146
Social fearfulness in the human brain
Miskovic, V., & Schmidt, L. A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.08.002 · Cited by 126
Wieser, M. J., Gerdes, A. B. M., Büngel, I., Schwarz, K. A., Mühlberger, A., & Pauli, P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.022 · Cited by 132
A Rapid Subcortical Amygdala Route for Faces Irrespective of Spatial Frequency and Emotion
McFadyen, J., Mermillod, M., Mattingley, J. B., Halász, V., & Garrido, M. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3525-16.2017 · Cited by 144
Rapid Fear Detection Relies on High Spatial Frequencies
Stein, T., Seymour, K. J., Hebart, M. N., & Sterzer, P. (2013) · Psychological Science · doi:10.1177/0956797613512509 · Cited by 128
García‐García, I., Kube, J., Gaebler, M., Horstmann, A., Villringer, A., & Neumann, J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.04.020 · Cited by 132
Guillory, S. A., & Bujarski, K. A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu002 · Cited by 127
Pupil dilation reflects the time course of emotion recognition in human vocalizations
Oliva, M., & Anikin, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-23265-x · Cited by 144
Understanding others: Emotion recognition in humans and other animals
Ferretti, V., & Papaleo, F. (2018) · Genes Brain & Behavior · doi:10.1111/gbb.12544 · Cited by 142
Nonpolitical Images Evoke Neural Predictors of Political Ideology
Ahn, W., Kishida, K. T., Gu, X., Lohrenz, T. M., Harvey, A. H., Alford, J. R., Smith, K. B., Yaffe, G., Hibbing, J. R., Dayan, P., et al. (2014) · Current Biology · doi:10.1016/j.cub.2014.09.050 · Cited by 130
Zhu, Y., Hu, X., Wang, J., Chen, J., Guo, Q., Li, C., & Enck, P. (2012) · European Eating Disorders Review · doi:10.1002/erv.2197 · Cited by 127
An Appraisal-Driven Componential Approach to the Emotional Brain
Sander, D., Grandjean, D., & Scherer, K. R. (2018) · Emotion Review · doi:10.1177/1754073918765653 · Cited by 154
Common and stimulus-type-specific brain representations of negative affect
Čeko, M., Kragel, P. A., Woo, C., López‐Solà, M., & Wager, T. D. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01082-w · Cited by 121
The emotional attentional blink: what we know so far
McHugo, M., Olatunji, B. O., & Zald, D. H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00151 · Cited by 123
Grossberg, S. (2017) · Neural Networks · doi:10.1016/j.neunet.2016.11.003 · Cited by 120
Supekar, K., Kochalka, J., Schaer, M., Wakeman, H. N., Qin, S., Padmanabhan, A., & Menon, V. (2018) · Brain · doi:10.1093/brain/awy191 · Cited by 126
The amygdalo-motor pathways and the control of facial expressions
Gothard, K. M. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00043 · Cited by 122
Bortolon, C., Capdevielle, D., & Raffard, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.006 · Cited by 126
Neural circuitry governing anxious individuals’ mis-allocation of working memory to threat
Stout, D. M., Shackman, A. J., Pedersen, W. S., Miskovich, T. A., & Larson, C. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-08443-7 · Cited by 124
Electrocortical responses to NIMSTIM facial expressions of emotion
Smith, E. E., Weinberg, A., Moran, T. P., & Hajcak, G. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.12.004 · Cited by 130
Amygdala Activation for Eye Contact Despite Complete Cortical Blindness
Burra, N., Hervais-Adelman, A., Kerzel, D., Tamietto, M., de Gelder, B., & Pegna, A. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3994-12.2013 · Cited by 118
Hedger, N., Gray, K. L. H., Garner, M., & Adams, W. J. (2016) · Psychological Bulletin · doi:10.1037/bul0000054 · Cited by 115
Neural correlates of altered general emotion processing in social anxiety disorder
Brühl, A. B., Rufer, M., Delsignore, A., Kaffenberger, T., Jäncke, L., & Herwig, U. (2011) · Brain Research · doi:10.1016/j.brainres.2010.12.084 · Cited by 120
Current understanding of photophobia, visual networks and headaches
Noseda, R., Copenhagen, D. R., & Burstein, R. (2018) · Cephalalgia · doi:10.1177/0333102418784750 · Cited by 121
The role of the amygdala in the perception of positive emotions: an “intensity detector”
Bonnet, L., Comte, A., Tatu, L., Millot, J., Moulin, T., & de Bustos, E. M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00178 · Cited by 130
Prioritized Detection of Personally Familiar Faces
Gobbini, M. I., Gors, J. D., Halchenko, Y. O., Rogers, C., Guntupalli, J. S., Hughes, H. C., & Cipolli, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066620 · Cited by 123
The primate amygdala combines information about space and value
Peck, C. J., Lau, B., & Salzman, C. D. (2013) · Nature Neuroscience · doi:10.1038/nn.3328 · Cited by 115
An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognition
McFadyen, J., Mattingley, J. B., & Garrido, M. I. (2019) · eLife · doi:10.7554/elife.40766 · Cited by 115
Gao, X., Yu, H., Sáez, I., Blue, P. R., Zhu, L., Hsu, M., & Zhou, X. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802523115 · Cited by 119
Pérez‐Edgar, K. E., Kujawa, A., Nelson, S. K., Cole, C. E., & Zapp, D. J. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.05.009 · Cited by 114
Happily entangled: prediction, emotion, and the embodied mind
Miller, M., & Clark, A. (2018) · Synthese · doi:10.1007/s11229-017-1399-7 · Cited by 114
Subcortical amygdala pathways enable rapid face processing
Garvert, M. M., Friston, K. J., Dolan, R. J., & Garrido, M. I. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.047 · Cited by 119
Unconscious emotion: A cognitive neuroscientific perspective
Smith, R. S., & Lane, R. D. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.013 · Cited by 118
Amygdala Responsivity to High-Level Social Information from Unseen Faces
Freeman, J. B., Stolier, R. M., Ingbretsen, Z. A., & Hehman, E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5063-13.2014 · Cited by 116
Single-Unit Responses Selective for Whole Faces in the Human Amygdala
Rutishauser, U., Tudusciuc, O., Neumann, D., Mamelak, A. N., Heller, A. C., Ross, I. B., Philpott, L. M., Sutherling, W. W., & Adolphs, R. (2011) · Current Biology · doi:10.1016/j.cub.2011.08.035 · Cited by 113
Self-citationSturm, V. J. F., Fricke, O., Bührle, C., Lenartz, D., Maarouf, M., Treuer, H., Mai, J. K., & Lehmkuhl, G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00341 · Cited by 116
Marusak, H. A., Iadipaolo, A. S., Harper, F. W. K., Elrahal, F., Taub, J. W., Goldberg, E., & Rabinak, C. A. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9365-1 · Cited by 128
Hypervigilance for fear after basolateral amygdala damage in humans
Terburg, D., Morgan, B. E., Montoya, E. R., Hooge, I. T. C., Thornton, H. B., Hariri, A. R., Panksepp, J., Stein, D. J., & van Honk, J. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.46 · Cited by 112
Functional Evidence for a Dual Route to Amygdala
Garrido, M. I., Barnes, G. R., Sahani, M., & Dolan, R. J. (2011) · Current Biology · doi:10.1016/j.cub.2011.11.056 · Cited by 149
A Neurobiological Model of Borderline Personality Disorder: Systematic and Integrative Review
Ruocco, A. C., & Carcone, D. (2016) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000123 · Cited by 111
Keynan, J. N., Meir-Hasson, Y., Gilam, G., Cohen, A., Jackont, G., Kinreich, S., Ikar, L., Or‐Borichev, A., Etkin, A., Gyurak, A., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.024 · Cited by 112
Murray, R. J., Brosch, T., & Sander, D. (2014) · Cortex · doi:10.1016/j.cortex.2014.06.010 · Cited by 114
Processing of body odor signals by the human brain
Pause, B. M. (2012) · Chemosensory Perception · doi:10.1007/s12078-011-9108-2 · Cited by 107
Steuwe, C., Daniels, J. K., Frewen, P. A., Densmore, M., Pannasch, S., Beblo, T., Reiss, J., & Lanius, R. A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss105 · Cited by 107
The influence of subcortical shortcuts on disordered sensory and cognitive processing.
McFadyen, J., Dolan, R. J., & Garrido, M. I. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0287-1 · Cited by 91
Kraehenmann, R., Schmidt, A., Friston, K., Preller, K. H., Seifritz, E., & Vollenweider, F. X. (2016) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.08.009 · Cited by 104
The neuroscience of understanding the emotions of others
Spunt, R. P., & Adolphs, R. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.06.018 · Cited by 106
Self-citationPessoa, L., Medina, L., Hof, P. R., & Desfilis, E. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.021 · Cited by 105
Self-citationAngelidis, A., Hagenaars, M. A., Son, D. V., van der Does, W. A. J., & Putman, P. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.03.002 · Cited by 104
Finding thalamic BOLD correlates to posterior alpha EEG
Liu, Z., de Zwart, J. A., Yao, B., van Gelderen, P., Kuo, L.-W., & Duyn, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.025 · Cited by 104
Kret, M. E., & Ploeger, A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.02.011 · Cited by 115
Wijngaarden, M. A., Veer, I. M., Rombouts, S. A. R. B., van Buchem, M. A., van Dijk, K. W., Pijl, H., & van der Grond, J. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.03.016 · Cited by 103
Understanding Familial Risk for Depression
Gotlib, I. H., Joormann, J., & Foland‐Ross, L. C. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691613513469 · Cited by 113
Early detection of intentional harm in the human amygdala
Hesse, E., Mikulan, E., Decety, J., Sigman, M., García, M. D. C., Silva, W., Ciraolo, C. A., Vaucheret, E., Baglivo, F. H., Huepe, D., et al. (2015) · Brain · doi:10.1093/brain/awv336 · Cited by 142
Huang, Z., Li, Y., Bianchi, M. T., Zhan, S., Fengying, J., Li, N., Ding, Y., Hou, Y., Wang, L., Ouyang, Q., et al. (2018) · Brain stimulation · doi:10.1016/j.brs.2018.05.016 · Cited by 107
Does Video Gaming Have Impacts on the Brain: Evidence from a Systematic Review
Denilson Brilliant, T., Nouchi, R., & Kawashima, R. (2019) · Brain Sciences · doi:10.3390/brainsci9100251 · Cited by 120
Refocusing neuroscience: moving away from mental categories and towards complex behaviours
Pessoa, L., Medina, L. M., & Desfilis, E. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0534 · Cited by 106
Self-citationSimon, D., Adler, N., Kaufmann, C., & Kathmann, N. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.03.011 · Cited by 102
The Hidden Snake in the Grass: Superior Detection of Snakes in Challenging Attentional Conditions
Soares, S. C., Lindström, B., Esteves, F. G., & Öhman, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114724 · Cited by 101
You, C., Zhang, H., Sakharkar, A. J., Teppen, T. L., & Pandey, S. C. (2013) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145713001144 · Cited by 104
Multimodal Stress Detection from Multiple Assessments
Aigrain, J., Spodenkiewicz, M., Dubuisson, S., Detyniecki, M., Cohen, D., & Chétouani, M. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2631594 · Cited by 107
Functional MRI findings, pharmacological treatment in major depression and clinical response
Arnone, D. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.08.004 · Cited by 102
Emotional Objectivity: Neural Representations of Emotions and Their Interaction with Cognition
Todd, R. M., Miskovic, V., Chikazoe, J., & Anderson, A. K. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010419-051044 · Cited by 116
Pubertal testosterone influences threat-related amygdala–orbitofrontal cortex coupling
Spielberg, J. M., Forbes, E. E., Ladouceur, C. D., Worthman, C. M., Olino, T. M., Ryan, N. D., & Dahl, R. E. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu062 · Cited by 104
Rapid Processing of Emotional Expressions without Conscious Awareness
Smith, M. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr250 · Cited by 102
Freezing promotes perception of coarse visual features.
Lojowska, M., Gladwin, T. E., Hermans, E. J., & Roelofs, K. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000117 · Cited by 95
Jens Blechert, A., Sheppes, G., Tella, C. D., Williams, H., & Gross, J. J. (2012) · Psychological Science · doi:10.1177/0956797612438559 · Cited by 98
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
