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 801–900 of 999
Bunford, N., Roberts, J., Kennedy, A. E., & Klumpp, H. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.04.015 · Cited by 25
Casco, C., Barollo, M., Contemori, G., & Battaglini, L. (2018) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-170752 · Cited by 20
Shore, D. M., Ng, R., Bellugi, U., & Mills, D. L. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0528-6 · Cited by 19
Im, H. Y., Adams, R. B., Boshyan, J., Ward, N., Cushing, C. A., & Kveraga, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-15495-2 · Cited by 20
Pedale, T., Macaluso, E., & Santangelo, V. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01873-1 · Cited by 20
Acute Psychosocial Stress Modulates the Detection Sensitivity for Facial Emotions
von Dawans, B., Spenthof, I., Zimmer, P., & Domes, G. (2020) · Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) · doi:10.1027/1618-3169/a000473 · Cited by 22
Sex Differences in Brain and Behavioral Development
Beltz, A. M., Blakemore, J. E., & Berenbaum, S. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00064-9 · Cited by 21
Xiu, D., Geiger, M. J., & Klaver, P. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00090 · Cited by 20
Tsikandilakis, M., Kausel, L., Boncompte, G., Yu, Z., Oxner, M., Lanfranco, R. C., Bali, P., Urale, P. W. B., Peirce, J. W., López, V., et al. (2019) · Perception · doi:10.1177/0301006619867865 · Cited by 21
A Neural Basis Computational Model of Emotional Brain for Online Visual Object Recognition
Lotfi, E., Setayeshi, S., & Taimory, S. (2014) · Applied Artificial Intelligence · doi:10.1080/08839514.2014.952924 · Cited by 19
Pupillary contagion is independent of the emotional expression of the face.
Carsten, T., Desmet, C., Krebs, R. M., & Braß, M. (2018) · Emotion · doi:10.1037/emo0000503 · Cited by 19
Deficits in emotion processing in Alzheimer’s disease: a systematic review
da Silva, R. C. R., de Carvalho, R. L. D., & Dourado, M. (2021) · Dementia & Neuropsychologia · doi:10.1590/1980-57642021dn15-030003 · Cited by 21
Zhang, Y., Zhou, W., Huang, J., Hong, B., & Wang, X. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119502 · Cited by 22
Klingner, C. M., & Guntinas‐Lichius, O. (2023) · Laryngo-Rhino-Otologie · doi:10.1055/a-2003-5687 · Cited by 19
Berger, C., Erbe, A.-K., Ehlers, I., Marx, I., Hauenstein, K., & Teipel, S. J. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141848 · Cited by 25
Integrative Processing of Touch and Affect in Social Perception: An fMRI Study
Ebisch, S. J. H., Salone, A., Martinotti, G., Carlucci, L., Mantini, D., Perrucci, M. G., Saggino, A., Romani, G. L., Giannantonio, M. D., Northoff, G., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00209 · Cited by 19
Violence and Latin‐American preadolescents: A study of social brain function and cortisol levels
Buchweitz, A., de Azeredo, L. A., Sanvicente‐Vieira, B., Cará, V. M., Esper, N. B., Soder, R. B., da Costa, J. C., Portuguez, M. W., Franco, A. R., & Grassi‐Oliveira, R. (2019) · Developmental Science · doi:10.1111/desc.12799 · Cited by 22
Fide, E., Emek‐Savaş, D. D., Aktürk, T., Güntekin, B., Hanoğlu, L., & Yener, G. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.06.229 · Cited by 21
Awareness modulates responses of the amygdala and the visual cortex to highly arousing visual threat
Hoffmann, M., Lipka, J., Mothes‐Lasch, M., Miltner, W. H. R., & Straube, T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.064 · Cited by 18
Dong, X., Gao, C., Guo, C., Li, W., & Cui, L. (2020) · Psychophysiology · doi:10.1111/psyp.13617 · Cited by 19
Jamieson, A. J., Leonards, C. A., Davey, C. G., & Harrison, B. J. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02734-0 · Cited by 23
Single-cell and spatial multiomic inference of gene regulatory networks using SCRIPro
Chang, Z., Xu, Y., Dong, X., Gao, Y., & Wang, C. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae466 · Cited by 18
Neural Dynamics of Emotional Salience Processing in Response to Voices during the Stages of Sleep
Chen, C., Sung, J., & Cheng, Y. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00117 · Cited by 18
The Half-Life of the Moral Dilemma Task: A Case Study in Experimental (Neuro-) Philosophy
Schleim, S. (2014) · Springer eBooks · doi:10.1007/978-94-007-4707-4_164 · Cited by 18
March, D. S., Gaertner, L., & Olson, M. A. (2022) · Affective Science · doi:10.1007/s42761-021-00090-6 · Cited by 18
Sex differences in brain and behavioral development
Beltz, A. M., Kelly, D. P., & Berenbaum, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00027-5 · Cited by 21
Levin, S. B. (2021) · doi:10.1093/oso/9780190051495.001.0001 · Cited by 18
SPADE: spatial deconvolution for domain specific cell-type estimation
Lu, Y., Chen, Q. M., & An, L. (2024) · Communications Biology · doi:10.1038/s42003-024-06172-y · Cited by 19
Abdel-Ghaffar, S., Huth, A. G., Lescroart, M. D., Stansbury, D. E., Gallant, J. L., & Bishop, S. J. (2024) · Nature Communications · doi:10.1038/s41467-024-49073-8 · Cited by 20
Mendrek, A., Bourque, J., Dubé, A., Lakis, N., & Champagne, J. (2012) · ISRN Psychiatry · doi:10.5402/2012/656274 · Cited by 19
Almeida, I. A. T., van Asselen, M., & Castelo-Branco, M. S. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.07.007 · Cited by 18
Rapid and multiple-stage activation of the human amygdala for processing facial signals
Sato, W., Kochiyama, T., Uono, S., Matsuda, K., Usui, K., Inoue, Y., & Toichi, M. (2013) · Communicative & Integrative Biology · doi:10.4161/cib.24562 · Cited by 19
Neural mediators of the intergenerational transmission of family aggression
Saxbe, D., Piero, L. B. D., Immordino‐Yang, M. H., Kaplan, J., & Margolin, G. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000528 · Cited by 18
Impaired early visual categorization of fear in social anxiety
Meynadasy, M. A., Clancy, K. J., Ke, Z., Simon, J., Wu, W., & Li, W. (2019) · Psychophysiology · doi:10.1111/psyp.13509 · Cited by 18
Elgohary, A. A., Abuelela, M. H., & Eldin, A. A. (2017) · International Journal of Ophthalmology · doi:10.18240/ijo.2017.07.20 · Cited by 18
Early Emotional Attention is Impacted in Alzheimer’s Disease: An Eye-Tracking Study
Bourgin, J., Guyader, N., Chauvin, A., Juphard, A., Sauvée, M., Moreaud, O., Silvert, L., & Hot, P. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180170 · Cited by 21
Neuner, F., Elbert, T. R., & Schauer, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-97046-2_9 · Cited by 20
Magnocellular and parvocellular pathway contributions to facial threat cue processing
Cushing, C. A., Im, H. Y., Adams, R. B., Ward, N., & Kveraga, K. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz003 · Cited by 19
Abstract Expressions of Affect
de Rooij, A., Broekens, J., & Lamers, M. H. (2013) · International Journal of Synthetic Emotions · doi:10.4018/jse.2013010101 · Cited by 18
Camfield, D., Mills, J. G., Kornfeld, E. J., & Croft, R. J. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00337 · Cited by 17
fMRI replicability during emotional scene viewing: Functional regions and sample size
Sambuco, N. (2022) · Psychophysiology · doi:10.1111/psyp.14000 · Cited by 17
A Common Neural Account for Social and Nonsocial Decisions
Arabadzhiyska, D. H., Garrod, O., Fouragnan, E. F., Luca, E. D., Schyns, P. G., & Philiastides, M. G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0375-22.2022 · Cited by 23
Noor, M. C., Revell, V. L., Saradj, F. M., & Yazdanfar, S.-A. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148470 · Cited by 18
Mapping the structure-function relationship along macroscale gradients in the human brain
Collins, E., Chishti, O., Obaïd, S., McGrath, H., King, A., Shen, X., Arora, J., Papademetris, X., Constable, R. T., Spencer, D. D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-51395-6 · Cited by 17
Negative affective state mimics effects of perceptual load on spatial perception.
Rossi, V., & Pourtois, G. (2013) · Emotion · doi:10.1037/a0030697 · Cited by 16
Kittel‐Schneider, S., Wobrock, T., Scherk, H., Schneider-Axmann, T., Trost, S., Zilles‐Wegner, D., Wolf, C., Schmitt, A., Malchow, B., Hasan, A., et al. (2014) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-014-0513-9 · Cited by 18
Improved categorization of subtle facial expressions modulates Late Positive Potential
Pollux, P. M. J. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.02.027 · Cited by 17
Attentional bias towards and away from fearful faces is modulated by developmental amygdala damage
Pishnamazi, M., Tafakhori, A., Loloee, S., Modabbernia, A., Aghamollaii, V., Bahrami, B., & Winston, J. S. (2016) · Cortex · doi:10.1016/j.cortex.2016.04.012 · Cited by 17
Vukušić, S., Ciorciari, J., & Crewther, D. P. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00256 · Cited by 17
The role of the amygdala in incongruity resolution: the case of humor comprehension
Nakamura, T., Matsui, T., Utsumi, A., Yamazaki, M. L., Makita, K., Harada, T., Tanabe, H. C., & Sadato, N. (2017) · Social Neuroscience · doi:10.1080/17470919.2017.1365760 · Cited by 17
Right posterior parietal cortex is involved in disengaging from threat: a 1-Hz rTMS study
Mulckhuyse, M., Engelmann, J. B., Schutter, D. J. L. G., & Roelofs, K. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx111 · Cited by 18
Le, Q. V., Nishimaru, H., Matsumoto, J., Takamura, Y., Nguyen, M. N., Mão, C. V., Hori, E., Maior, R. S., Tomaz, C. A. B., Ono, T., et al. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.10.015 · Cited by 18
Deep Construction of an Affective Latent Space via Multimodal Enactment
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2018) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2788820 · Cited by 17
Telomere length as a predictor of emotional processing in the brain
Powell, T. R., de Jong, S., Breen, G. D., Lewis, C. M., & Dima, D. (2018) · Human Brain Mapping · doi:10.1002/hbm.24487 · Cited by 17
Unconscious processing of coarse visual information during anticipatory threat
Lojowska, M., Mulckhuyse, M., Hermans, E. J., & Roelofs, K. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.01.018 · Cited by 16
Xiao, N. G., & Emberson, L. L. (2019) · Cognition · doi:10.1016/j.cognition.2019.104019 · Cited by 16
Aversive perception in a threat context: Separate and independent neural activation
Sambuco, N., Costa, V. D., Lang, P. J., & Bradley, M. M. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107926 · Cited by 17
Baroni, M., Frumento, S., Cesari, V., Gemignani, A., Menicucci, D., & Rutigliano, G. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.023 · Cited by 17
Cesarei, A. D., Cavicchi, S., Cristadoro, G., & Lippi, M. (2021) · Cognitive Science · doi:10.1111/cogs.13009 · Cited by 19
Insular dichotomy in the implicit detection of emotions in human faces
Frot, M., Mauguìere, F., & García-Larrea, L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab477 · Cited by 21
Elbert, T. R., Schauer, M., Ruf, M., Weierstall, R., Neuner, F., Rockstroh, B. S., & Junghöfer, M. (2011) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000064 · Cited by 17
Harnessing Motivation to Alleviate Neglect
Russell, C., Li, K., & Malhotra, P. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00230 · Cited by 18
Improved emotional conflict control triggered by the processing priority of negative emotion
Yang, Q., Wang, X., Yin, S., Zhao, X., Tan, J., & Chen, A. (2016) · Scientific Reports · doi:10.1038/srep24302 · Cited by 17
Transdiagnostic neural markers of emotion–cognition interaction in psychotic disorders.
Sabharwal, A., Szekely, A., Kotov, R., Mukherjee, P., Leung, H., Barch, D. M., & Mohanty, A. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000196 · Cited by 19
Liao, X., Wang, K., Lin, K., Chan, R. C. K., & Zhang, X. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01110 · Cited by 17
A comprehensive neuroimaging review of PCL-R defined psychopathy
Griffiths, S. Y., & Jalava, J. (2017) · Aggression and Violent Behavior · doi:10.1016/j.avb.2017.07.002 · Cited by 21
Zhang, N., Qin, J., Yan, J., Zhu, Y., Xu, Y., Zhu, X., Ju, S., & Li, Y. (2019) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x19861909 · Cited by 19
False positives to confusable objects predict medial temporal lobe atrophy
Kivisaari, S. L., Monsch, A. U., & Taylor, K. I. (2013) · Hippocampus · doi:10.1002/hipo.22137 · Cited by 17
5‐HTTLPR differentially predicts brain network responses to emotional faces
Fisher, P. M., Grady, C. L., Madsen, M. K., Strother, S. C., & Knudsen, G. M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22811 · Cited by 16
TMS to V1 spares discrimination of emotive relative to neutral body postures
Filmer, H. L., & Monsell, S. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.09.029 · Cited by 16
An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Music
Ziabari, S. S. M., & Jan Treur, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-04021-5_17 · Cited by 16
Chand, T., Alizadeh, S., Li, M., Fan, Y., Jamalabadi, H., Danyeli, L. V., Nanni‐Zepeda, M., Herrmann, L., van der Meer, J. N., Vester, J., et al. (2022) · Brain Connectivity · doi:10.1089/brain.2021.0189 · Cited by 16
Amygdala–pons connectivity is hyperactive and associated with symptom severity in depression
Wong, J. J., Wong, N. M. L., Chang, D. H. F., Qi, D., Chen, L., & Lee, T. M. C. (2022) · Communications Biology · doi:10.1038/s42003-022-03463-0 · Cited by 17
Brown, L. A., White, L. K., Makhoul, W., Teferi, M., Sheline, Y. I., & Balderston, N. L. (2023) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2023.100385 · Cited by 17
Cortical and subcortical gray matter abnormalities in mild cognitive impairment
Wang, J., Liang, X., Lu, J., Zhang, W., Chen, Q., Li, X., Chen, J., Zhang, X., & Zhang, B. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.07.036 · Cited by 16
Dessel, P. V., & Vogt, J. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00294 · Cited by 16
Top-Down Attention and the Processing of Emotional Stimuli
Pessoa, L., Oliveira, L., & Pereira, M. G. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9780511843716.019 · Cited by 16
Self-citationPrimate Visual Perception: Motivated Attention in Naturalistic Scenes
Frank, D. W., & Sabatinelli, D. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00226 · Cited by 16
Affective Processing in Non-invasive Brain Stimulation Over Prefrontal Cortex
Liu, W., Leng, Y. S., Zou, X. H., Cheng, Z. Q., Yang, W., & Li, B. J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00439 · Cited by 16
Buades‐Rotger, M., & Krämer, U. M. (2018) · Aggressive Behavior · doi:10.1002/ab.21787 · Cited by 16
Resting-state mapping of neural signatures of vulnerability to depression relapse
Liu, C., Tang, L., Gao, Y., Zhang, G., Li, B., Li, M., Woelfer, M., Martin, W., & Wang, L. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.03.022 · Cited by 17
Takamiya, A., Kishimoto, T., Liang, K., Terasawa, Y., Nishikata, S., Tarumi, R., Sawada, K., Kurokawa, S., Hirano, J., Yamagata, B., et al. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.08.001 · Cited by 16
Salience-thalamic circuit uncouples in major depressive disorder, but not in bipolar depression
Zeng, C., Xue, Z., Ross, B., Zhang, M., Liu, Z., Wu, G., Ouyang, X., Li, D., & Pu, W. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.007 · Cited by 17
Webb, A. L. M., & Hibbard, P. B. (2020) · Scientific Reports · doi:10.1038/s41598-020-74369-2 · Cited by 16
Larger bilateral amygdalar volumes are associated with affective loss experiences
Acosta, H., Jansen, A., & Kircher, T. T. J. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24835 · Cited by 16
Leite, L. L., Esper, N. B., Lopes, J. R. M., Lara, D. R., & Buchweitz, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-13395-8 · Cited by 18
Caring, the emotions, and social norm compliance.
Colombo, M. (2013) · Journal of Neuroscience Psychology and Economics · doi:10.1037/npe0000015 · Cited by 16
Liu, L., Yuan, C., Ding, H., Xu, Y., Long, M., Li, Y., Liu, Y., Jiang, T., Qin, W., Shen, W., et al. (2017) · Scientific Reports · doi:10.1038/srep45675 · Cited by 16
Volumetric Abnormalities in Violent Schizophrenia Patients on the General Psychiatric Ward
Liu, F., Shao, Y., Li, X., Liu, L., Zhao, R., Xie, B., & Qiao, Y. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00788 · Cited by 16
Tsikandilakis, M., Leong, M. Q., Yu, Z., Paterakis, G., Bali, P., Derrfuß, J., Mével, P.-A., Milbank, A. G., Tong, E. M. W., Madan, C. R., et al. (2021) · Psychological Research · doi:10.1007/s00426-020-01461-7 · Cited by 18
Language and affective facial expression in children with perinatal stroke
Lai, P. T., & Reilly, J. S. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.04.002 · Cited by 17
Forscher, E. C., Zheng, Y., Ke, Z., Folstein, J. R., & Li, W. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.08.018 · Cited by 18
Hackman, D. A., Duan, L., McConnell, E. E., Lee, W. J., Beak, A. S., & Kraemer, D. J. M. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01833 · Cited by 16
Inagaki, M., & Fujita, I. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1114-11.2011 · Cited by 15
Neural Correlates of the Formation and Retention of Cocaine-Induced Stimulus–Reward Associations
Nelissen, K., Jarraya, B., Arsenault, J. T., Rosen, B. R., Wald, L. L., Mandeville, J. B., Marota, J. J. A., & Vanduffel, W. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.02.021 · Cited by 15
Gu, X., Kirk, U., Lohrenz, T. M., & Montague, P. R. (2013) · Human Brain Mapping · doi:10.1002/hbm.22433 · Cited by 15
Facial Expression Aftereffect Revealed by Adaption to Emotion-Invisible Dynamic Bubbled Faces
Luo, C., Wang, Q., Schyns, P. G., Kingdom, F. A. A., & Xu, H. W. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145877 · Cited by 15
Müller, M. M., & Gundlach, C. (2016) · Psychophysiology · doi:10.1111/psyp.12792 · Cited by 17
Emotional anticipation after delivery – a longitudinal neuroimaging study of the postpartum period
Gingnell, M., Toffoletto, S., Wikström, J., Engman, J., Bannbers, E., Comasco, E., & Poromaa, I. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-00146-3 · Cited by 15
Yu, W. S., Kwon, S., Agadagba, S. K., Chan, L.-L.-H., Wong, K.-H., & Lim, L. W. (2021) · Cells · doi:10.3390/cells10092492 · Cited by 16
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
