You are here: Home / Research themes and resources / Neuroscience / Publications by Faculty Members

Publications by Faculty Members

List of neuroscience-focused publications by Department of Psychology faculty members

Clinical Area

Arnett, P.A., & Brochet, B. (2013). How can cognitive reserve in multiple sclerosis inform clinical care? Neurology, 80(19), 1724–1725. PMID: 23576628. DOI:

Arnett, P.A., Meyer, J.E., Merritt, V.C., & Guty, E. (2016). Neuropsychological Testing in Mild Traumatic Brain Injury: What to do When Baseline Testing is Not Available. Sports Medicine and Arthroscopy Review, 24(3), 116–122. PMID: 27482777. DOI:

Arnett, P.A. (2016). Commentary on Lubrini et al.’s Study, “The Contribution of Depressive Symptoms to Slowness of Information Processing in Relapsing Remitting Multiple Sclerosis.” Multiple Sclerosis Journal, 22(12), 1512-1513. PMID: 27742915. DOI:

Hallquist, M.N., Hwang, K., & Luna, B. (2013). The nuisance of nuisance regression: Spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity. NeuroImage, 82, 208-225. PMCID: PMC3759585. DOI:

Hwang, K., Hallquist, M.N., & Luna, B. (2013). The development of hub architecture in the human functional brain network. Cerebral Cortex, 23(10), 2380-2393. PMCID: PMC3767958. DOI:

Simmonds, D.J., Hallquist, M.N., Asato, M., & Luna, B. (2014). Developmental stages and sex differences of white matter and behavioral development through adolescence: A longitudinal diffusion tensor imaging (DTI) study. NeuroImage, 92, 356-368. PMCID: PMC4301413. DOI:

Marek, S., Hwang, K., Foran, W., Hallquist, M.N., & Luna, B. (2015). The contribution of network organization and integration to the development of cognitive control. PLOS Biology, 13(12), 31002328. PMCID: PMC4694653. DOI:

Paulsen, D.J., Hallquist, M.N., Geier, C.F., & Luna, B. (2015). Effects of incentives, age, and behavior on brain activation during inhibitory control: A longitudinal fMRI study. Developmental Cognitive Neuroscience, 11, 105-115. PMCID: PMC4323861. DOI:

Vanyukov, P.M., Szanto, K., Siegle, G.J., Hallquist, M.N., Reynolds, C.F., Aizenstein, H.J., & Dombrovski, A.Y. (2015). Impulsive traits and unplanned suicide attempts predict exaggerated prefrontal response to angry faces in the elderly. American Journal of Geriatric Psychiatry, 23(8), 829-839. PMCID: PMC4528975. DOI:

Lynn, A., Padmanabhan, A., Simmonds, D., Foran W., Hallquist, M.N., Luna, B., & O'Hearn, K. (2016). Functional connectivity differences in autism during face and car recognition: underconnectivity and atypical age-related changes. Developmental Science (epub ahead of print). PMID: 27748031. DOI:

O’Hearn, K., Velanova, K., Lynn, A., Wright, C., Hallquist, M., Minshew, N., & Luna, B. (2016). Abnormalities in brain systems supporting individuation and enumeration in autism. Autism Research, 9(1), 82-96. PMID: 26011184. DOI:

Vanyukov, P.M., Szanto, K., Hallquist, M. N., Siegle, G.J., Reynolds, C F., Forman, S.D., Aizenstein, H.J., & Dombrovski, A.D. (2016). Paralimbic and lateral prefrontal encoding of reward value during intertemporal choice in attempted suicide. Psychological Medicine, 46(2), 381-391. PMCID: PMC4797639. DOI:

Hawes, S.W., Chahal, R., Hallquist, M N., Paulsen, D. J., Geier, C F., & Luna, B. (2017). Modulation of reward-related neural activation on sensation seeking across development. NeuroImage, 147, 763-771. PMID: 27956207. DOI:

Jalbrzikowski, M.J., Larsen, B., Hallquist, M.N., Foran, W., Calabro, F., & Luna, B. (2017). Development of white matter microstructure and intrinsic functional connectivity between the amygdala and ventromedial prefrontal cortex: Associations with anxiety and depression. Biological Psychiatry (epub ahead of print). PMID: 28274468. DOI:

Simmonds, D.J., Hallquist, M.N., & Luna, B. (2017). Protracted development of executive and mnemonic brain systems underlying working memory in adolescence: A longitudinal fMRI study. NeuroImage (epub ahead of print). PMID: 28456583. DOI:

Hillary F.G., Medaglia, J.D., Gates, K., Molenaar, P.C., Slocomb, J., Peechatka, A., & Good, D.C. (2011). Examining working memory task acquisition in a disrupted neural networkBrain, 134(Pt 5), 1555-1570. PMID: 21571783. DOI: http/

Bryer, E.J., Medaglia, J.D., Rostami, S., & Hillary, F.G. (2013). Neural recruitment after mildtraumatic brain injury is task dependent: a meta-analysis. Journal of the International Neuropsychological Society, 19(7), 751-762. PMID: 24933491. DOI:

Hillary, F.G., Medaglia, J.D., Gates, K.M., Molenaar, P.C., & Good, D.C. (2014). Examining network dynamics after traumatic brain injury using the extended unified SEM approach.Brain Imaging and Behavior, 8(3),435-445. PMID: 23138853. DOI:

Hillary, F.G., Rajtmajer, S.M., Roman, C.A., Medaglia, J.D., Slocomb-Dluzen, J.E., Calhoun,V.D., Good, D.C., & Wylie, G.R. (2014). The rich get richer: brain injury elicits hyperconnectivity in core subnetworks. PLoS One, 9(8), e104021. Erratum in: PLoS One 2014;9(11):e113545. PMCID: PMC4133194. DOI:

Beltz, A.M., Berenbaum, S.A., & Wilson, S.J. (2015). Sex differences in resting state brainfunction of cigarette smokers and links to nicotine dependence. Experimental and Clinical Psychopharmacology, 23(4), 247-254. PMCID: PMC4526105. DOI: 

Hillary, F.G., Roman, C.A., Venkatesan, U., Rajtmajer, S.M., Bajo, R., & Castellanos, N.D. (2015). Hyperconnectivity is a fundamental response to neurological disruption.Neuropsychology, 29(1), 59-75. DOI:

Rajtmajer, S.M., Roy, A., Albert, R., Molenaar, P.C., & Hillary, F.G. (2015) A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity. Frontiers of Neuroanalytics (ecollection). PMCID: PMC4517380. DOI:

Taber-Thomas, B.C.,Morales, S.,Hillary, F.G., & Pérez-Edgar, K. (2016). Altered topography of intrinsic functional connectivity in childhood risk for social anxiety. Depression & Anxiety, 33, 995–1004. PMCID: PMC5071108..

Roy, A.R., Bernier, R.A., Wang, J.L., Benson, M., French, J.J. Good, D.C., & Hillary, F.G. (2017). The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury. PLOS ONE, 12(4) (epub ahead of print). PMCID: 5396850. DOI:

Wilson, S.J., Sayette, M.A., & Fiez, J.A. (2012). Quitting-unmotivated and quitting-motivated cigarette smokers exhibit different patterns of cue-elicited brain activation when anticipating an opportunity to smoke. Journal of Abnormal Psychology, 121(1), 198-211. PMCID: PMC3704179. DOI:

Wilson, S.J., Creswell, K.G., Sayette, M.A., & Fiez, J.A. (2013). Ambivalence about smoking and cue-elicited neural activity in quitting-motivated smokers faced with an opportunity to smoke. Addictive Behaviors, 38(2), 1541-1549. PMCID: PMC3428430. DOI:

Wilson, S.J., Sayette, M.A., & Fiez, J.A. (2013). Neural correlates of self-focused and other-focused strategies for coping with cigarette cue exposure. Psychology of Addictive Behaviors, 27(2), 466-476. PMCID: PMC3700629. DOI:

Wilson, S.J., Smyth, J.M., & MacLean, R.R. (2013) Integrating ecological momentary assessment and functional brain imaging methods: new avenues for studying and treatingtobacco dependence. Nicotine & Tobacco Research, 16(Suppl_2), S102-S110. PMCID: PMC3977634. DOI:

Wilson, S.J., Delgado, M.R., McKee, S.A., Grigson, P.S., MacLean, R.R., Nichols, T.T., Henry, S.L. (2014). Weak ventral striatal responses to monetary outcomes predict an unwillingness toresist cigarette smoking. Cognitive, Affective, & Behavioral Neuroscience, 14(4), 1196-1207. PMCID: PMC4213351. DOI:

Lydon, D.M., Wilson, S.J., Child, A., & Geier, C.F. (2014). Adolescent brain maturation andsmoking: what we know and where we're headed. Neuroscience & Biobehavioral Reviews, 45, 323-342. PMCID: PMC4451244. DOI:

Wilson, S.J., Sayette, M.A., & Fiez, J.A. (2014) Self-control, negative affect and neuralactivity during effortful cognition in deprived smokers. Social Cognitive and Affective Neuroscience, 9(6), 887-894. PMCID: PMC4040105. DOI:

Wilson, S.J., & Sayette, M.A. (2015) Neuroimaging craving: urge intensity matters. Addiction, 110(2), 195-203. PMCID: PMC4410051. DOI:

English, L.K., Fearnbach, S.N., Lasschuijt, M., Schlegel, A., Anderson, K., Harris, S., Wilson, S.J., Fisher, J.O., Savage, J.S., Rolls, B.J., Keller, K.L. (2016). Brain regions implicated in inhibitory control and reward are activated in response to food portion size and energy density in children. International Journal of Obesity, 40(10)1515-1522. PMID: 27457416. DOI:

English, L.K., Fearnbach, S.N., Wilson, S.J., Fisher, J.O., Savage, J.S., Rolls, B.J., & Keller, K.L. (2017). Food portion size and energy density evoke different patterns of brain activation in children. American Journal of Clinical Nutrition, 105(2), 295-305. PMID: 27881393;  DOI:

Cognitive Area

Dennis, N.A., Bowman, C.R., & Peterson, K.P. (2014). Age-related differences in the neural correlates mediating false recollection. Neurobiology of Aging, 35(2), 395-407. PMID: 24094578 DOI:

Dennis, N.A, Johnson, C.E., & Peterson, K.P. (2014). Neural correlates underlying true and false associative memories. Brain and Cognition, 88, 65-72. PMID: 24859815. DOI:

Dennis, N.A., Turney, I.C., Webb, C.E., & Overman, A.A. (2015). The effects of item familiarity on the neural correlates of successful associative memory encoding. Cognitive, Affective, & Behavioral Neuroscience, 15(4), 889-900. PMID: 25939781. DOI:

Wilkinson, K.M., Dennis, N.A., Webb, C.E., Therrien, M., Stadtman, M., Farmer, J., Leach, R., Warrenfeltz, M., Zeuner, C. (2015). Neural activity associated with visual search for line drawings on ACC displays: An exploration of the use of fMRI. Augmentative and Alternative Communication, 31(4): 310-324. PMID: 26517757. Kurkela, K.A. & Dennis, N.A. (2016). Event-related fMRI studies of false memory: An Activation Likelihood Estimation meta-analysis. Neuropsychologia, 81, 149-167. PMID: 26683385. DOI:

Diaz, M.T., Hogstrom, L.J., Zhuang, J., Voyvodic, J.T., Johnson, M.J. & Camblin, C.C.. (2014). Written distractor words influence brain activity during overt picture naming. Frontiers in Human Neuroscience, 8, 167. PMCID: PMC3970014. DOI:

Diaz, M.T., Johnson, M.A., Burke, D.M., & Madden, D.J. (2014). Age-related differences in the neural bases of phonological and semantic processes. Journal of Cognitive Neuroscience, 26(12):1-14. PMCID: PMC4216243. DOI:

Madden, D.J., Parks, E.L., Davis, S.W., Diaz, M.T., Potter, G.G., Chou, Y.H., Chen, N.K., & Cabeza, R. (2014). Age mediation of fronto-parietal activation during visual feature search. Neuroimage, 102(2), 262-274. PMCID: PMC4253678. DOI:

Liu, T.T., Glover, G.H., Mueller, B.A., Greve, D.N., Rasmussen, J., Voyvodic, J.T., Turner, J.A., van Erp, T.G.M., Lu, K., Brown, G.G., Keator, D.B., Calhoun, V.D., Lee, H.J., Ford, J.M., Mathalon, D.H., Jorgensen, K., Diaz, M.T., O’Leary, D.S., Gadde, S, Preda, A, Lim, K.O., Wible, C.G., Stern, H.S., Belger, A., McCarthy, G., Ozyurt, B., Potkin, S.G., & FBIRN. (2015). Quality assurance in functional MRI. In K. Uludag, K. Ugurbil, & L.J. Berliner (Eds.), fMRI: From Nuclear Spins to Brain Functions, pp. 245-270. New York: Springer Publishing.

Whitson, H.E., Chou, Y., Potter, G., Diaz, M.T., Chen, N., Lad, E., Johnson, M.A.*, Cousins, S., & Madden, D.J. (2015). Phonemic fluency and brain connectivity in age-related macular degeneration: A pilot study. Brain Connectivity, 5(2), 126-135. PMCID: PMC4361291. DOI:

Chou, Y., Sunderman, M., Whitson, H.E., Gaur, P., Chu, M., Weingarten, C.P., Madden, D.J., Wang, L., Kirste, I., Joliot, M., Diaz, M.T., Li, Y-J., Song, A.W., & Chen, N. (2016). Regulation and representation of mind wandering during resting-State fMRI. Nature: Scientific Reports (in press).

Diaz, M.T., Rizio, A.A., & Zhuang, J. (2016). The neural language systems that support healthy aging: Integrating function, structure, and behavior. Language & Linguistic Compass, 10(7), 314-334. PMID: 28079189. DOI:

Rossi, E. & Diaz, M.T. (2016). How aging and bilingualism influence language production: theoretical and neural models. Linguistic Approaches to Bilingualism, 6(1), 9-42. NIHMSID: 805039. DOI:

Keator, D.B., van Erp, T.G.M., Turner, J.A., Glover, G.H., Mueller, B.A., Liu, T.T., Voyvodic, J.T., Rasmussen, J., Calhoun, V.D., Lee, J.D., Toga, A.W., McEwen, S, Ford, J.M., Mathalon, D.H., Diaz, M.T., O'Leary, D.S., Bockholt, J., Gadde, S., Preda, A., Wible, C.G., Stern, H.S., Belger, A., McCarthy, G., Lim, K.O., Ozyurt, B., Brown, G.G., Potkin, S.G., & Function BIRN. (2016). The Function Biomedical Informatics Research Network Data Repository. Neuroimage, 124(Pt B), 1074–1079. PMCID: PMC4651841. DOI:

Ely, A.L., Weinstein, J.M., Price, J.M., Gillon, J.T., Boltz, M.E., Mowery, S.F., Aminlari, A., Gilmore, R.O., & Cheung, A.Y., (2014). Degradation of swept parameter VEP responses by neutral density filters in amblyopic and normal subjects. Investigative Ophthalmology and Visual Science, 55(13), 7248-7255. PMID: 25257058. DOI:

Raudies, F,. & Gilmore, R.O. (2014). Visual motion priors differ for infants and mothers. Neural Computation, 26(11), 2652-2668. PMID: 25058704. DOI:

Gilmore, R.O., Adolph, K.E., & Millman, D.S. (2016). Curating identifiable data for sharing: The Databrary project. In Proceedings of the 2016 New York Scientific Data Summit.

Gilmore, R.O., Thomas, A.L., & Fesi, J.D (2016). Children’s brain responses to optic flow vary by pattern type and motion speed. PLoS ONE, 11(5), e0157911. PMCID: PMC4915671. DOI: Materials on Databrary at http://

Li, P., Legault, J., & Litcofsky, K.A. (2014). Neuroplasticity as a function of second language learning: Anatomical changes in the human brain. Cortex, 58, 301-324. PMID: 24996640. DOI:

Yu, K., Wang, R., Li, L., & Li, P. (2014). Processing of acoustic and phonological information of lexical tones in Mandarin Chinese revealed by mismatch negativity. Frontiers in Human Neuroscience, 16(8),  729 (eCollection 2014). PMCID: PMC4165349. DOI:

Li, P., & Grant, A. (2015). Identifying the causal link: Two approaches toward understanding the relationship between bilinalism and cognitive control, Cortex, 73, 358-60. PMID: 26286036.

Tan, L.H., & Li, P. (2015). Towards an integrative understanding of the neuroanatomical and genetic bases of language: The Chinese Context. Journal of Neurolinguistics, 33, 1-186. DOI:

Yang, J., Gates, K., Molenaar, P., & Li, P. (2015). Neural changes underlying successful second language word learning: An fMRI study. Journal of Neurolinguistics, 33, 29-49. DOI:

Li, P., & Grant, A. (2016). Second language learning success revealed by brain networks.Bilingualism: Language and Cognition, 19(4), 657-664. DOI:

Wu, C., Zhong, S., Chan, Y., Chen, H., Gong, G., He, Y., & Li, P. (2016). White-matter structural connectivity underlying human laughter-related traits processing. Frontiers in Psychology: Cognitive Science, 7, 1637 (eCollection 2016). PMCID: PMC5082228. DOI:

Yang, J., Li, P., Fang, X., Shu, H., Liu, Y., & Chen, L. (2016). Hemispheric involvement in the processing of Chinese idioms: An fMRI study. Neuropsychologia, 87, 12-24. PMID: 27143223. DOI:

Zhou, W., Wang, X., Xia, Z., Bi, Y., Li, P., & Shu, H. (2016). Neural mechanisms of dorsal and ventral visual regions during text reading. Frontiers in Psychology: Cognition, 7, 1399 (eCollection 2016). PMCID: PMC5023685. DOI:

van Hell, J.G, Litcofsky, K. A., & Ting, C. Y. (2015). Sentential code-switching: cognitive and neural approaches. In J. W. Schwieter (Ed.), The Cambridge Handbook of Bilingual Processing (pp. 459-482)Cambridge, U.K.: Cambridge University Press.

Karuza, E., Li, P., Weiss, D., Bulgarelli, F., Zinszer, B., & Aslin, R. (2016). Sampling over non-uniform distributions: A neural efficiency account of the primacy effect in statistical learning. Journal of Cognitive Neuroscience, 28(10), 1484-1500. PMID: 27315265. DOI:


Developmental Area

Lunkenheimer, E., Tiberio, S.S., Buss, K.A., Lucas-Thompson, R.G., Boker, S.M., & Timpe, Z.C. (2015). Coregulation of respiratory sinus arrhythmia between parents and preschoolers: Differences by children’s externalizing problems. Developmental Psychobiology, 57(8), 994-1003. PMCID: PMC4644512. DOI:

Phelps, R.A., Brooker, R.J., & Buss, K.A. (2016). Toddlers’ dysregulated fear predicts delta–beta coupling during preschool. Developmental Cognitive Neuroscience, 17, 28-34. DOI:

Lunkenheimer, E., Kemp, C.J., Lucas-Thompson, R.G., Cole, P.M., & Albrecht, E.C. (2017). Assessing biobehavioral self-regulation and coregulation in early childhood: The Parent-Child Challenge Task. Infant and Child Development, 26(1), e1965. PMCID: PMC5404237. DOI:

Lucas-Thompson, R.G., Lunkenheimer, E., & Granger, D. (2017). Adolescent conflict appraisals weaken the link between marital conflict and physiological stress reactivity. Journal of Research on Adolescence, 27(1), 173-188. PMID: 28498527. DOI:

Lucas-Thompson, R.G., Lunkenheimer, E., & Dumitrache, A. (2017). Associations between marital conflict and adolescent conflict appraisals, stress physiology, and mental health. Journal of Clinical Child and Adolescent Psychology, 46(3), 379-393. PMID: 26136117. DOI:

Pérez-Edgar, K., Kujawa, A.,Nelson, S.K., Cole, C., & Zapp, D.J. (2013). The relation between electroencephalogram asymmetry and attention biases to threat at baseline and under stress. Brain & Cognition, 82(3), 337-343. PMCID: PMC3722560. DOI:

Pérez-Edgar, K., Hardee, J.,* Guyer, A.E., Benson, B., Nelson, E.E., Gorodetsky, E., Goldman, D., Fox, N.A., Pine, D.S. & Ernst, M. (2014). DRD4 and striatal modulation of the link between childhood behavioral inhibition and adolescent anxiety. Social Cognitive and Affective Neuroscience, 9(4), 445-453. PMCID: PMC3989122. DOI:

Scherf, K.S., Smyth, J.M., & Delgado, M.R. (2013). The amygdala: an agent of change in adolescent neural networks. Hormones and Behavior, 64(2), 298-313. PMCID: PMC3781589. DOI:

Scherf, K.S., Elbich, D., Minshew, N., & Behrmann, M. (2015). Individual differences in symptom severity and behavior predict neural activation during face processing in adolescents with autism. NeuroImage: Clinical, 7, 53-67. PMCID: PMC4299957. DOI:

Nishimura, M., Scherf, K.S., Zachariou, V., Tarr, M.J., & Behrmann, M. (2015). Size precedes view: developmental emergence of invariant object representations in lateral occipital complex. Journal of Cognitive Neuroscience, 27(3), 474-491. PMID: 25244115. DOI:

Behrmann, M., Scherf, K. S., & Avidan, G. (2016). Neural mechanisms of face perception, their emergence over development, and their breakdown. Wiley Interdisciplinary Reviews: Cognitive Science, 7(4), 247-263. PMID: 27196333. DOI:

van Hell, J.G, Litcofsky, K. A., & Ting, C. Y. (2015). Sentential code-switching: cognitive and neural approaches. In J. W. Schwieter (Ed.), The Cambridge Handbook of Bilingual Processing (pp. 459-482)Cambridge, U.K.: Cambridge University Press.

van Hell, J. G., Fernandez, C., Kootstra, G. J., Litcofsky, K. A., & Ting, C.Y. (2017). Electrophysiological and experimental-behavioral approaches to the study of intra-sentential code-switching. Linguistic Approaches to Bilingualism (online). DOI: 

van Hell, J. G., & Abdollahi, F. (in press). Individual variation in syntactic processing in the second language: Behavioral and electrophysiological approaches. In: E. Segers & P. van den Broek (Eds.). Developmental Perspectives in Written Language and Literacy. Amsterdam: John Benjamins.


Social Area

Adams, R.B., Jr., Pauker, K., & Weisbuch, M. (2010).Looking the other way: The role of gaze direction in the cross-race memory effect. Journal of Experimental Social Psychology, 46(2), 478-481. PMCID: PMC2829993. DOI:

Adams, R.B., Jr., Franklin, R.G., Rule, N.O., Freeman, J.B., Yoshikawa, S., Kveraga, K., Hadjikhani, N., & Ambady, N. (2010). Culture, gaze, and the neural processing of fear expressions: An fMRI investigation. Social Cognitive and Affective Neuroscience, 5(2-3), 340-348. PMCID: PMC2894663. DOI:

Adams, R.B., Jr., Franklin, R.G., Jr., Nelson, A.J., Gordon, H.L., Kleck, R.E., Whalen, P.J., & Ambady, N. (2011). Differentially tuned responses to severely restricted versus prolonged awareness of threat: A preliminary fMRI investigation. Brain and Cognition, 77(1), 113-119. PMID: 21683500. DOI:

Adams, R.B., Jr., Franklin, R.G., Jr., Kveraga, K., Ambady, N., Kleck, R.E., Whalen, P.J., Hadjikhani, N., & Nelson, A.J. (2012). Amygdala responses to averted versus direct gaze fear vary as a function of presentation speed. Social Cognitive and Affective Neuroscience, 7(5), 568-577. PMCID: PMC3375890. DOI:

Franklin, R.G., Jr., & Adams, R.B., Jr. (2010). What makes a face memorable? The relationship between face memory and emotional state reasoning. Personality and Individual Differences, 49(1), 8-12. DOI:

Gasper, K. & Zawadzki, M.J. (2012). Want information? How mood and performance perceptions alter the perceived value of information and influence information-seeking behaviors. Motivation and Emotion, 37(2), 308-322,  DOI:

Gasper, K & Hackenbracht, J. (2014). Too busy to feel neurtral: Reducing cognitive resources attenuates neutral affective states. Motivation and Emotion, 39(3), 458-466  DOI:

Gasper, K., & Middlewood, B.L. (2014). Approaching novel thoughts: Understanding why elation and boredom promote associative thought more Than distress and relaxation. Journal of Experimental Social Psychology, 52, 50-57. DOI:

Shields, S.A., & Bhatia, S. (2009). Darwin on race, gender, and culture. American Psychologist, 64(2), 111-119. PMID: 19203143.

Warner, L.R., & Shields, S.A. (in press). Gender, status, and the politics of emotional authenticity. In Emotions, ethics, and authenticity, M. Salmela & V. Mayer (Eds.). NY: John Benjamin.

Warner, L.R., & Shields, S.A. (2009). Judgments of others’ emotional appropriateness are multidimensional. Cognition & Emotion, 23(5), 876-888.

Return to Top