Combining fMRI and Eye-tracking for the Study of Social Cognition

1. Zimmermann, KM, Schmidt, KD, Gronow, F, Sommer, J, Leweke, F, Jansen, A. Seeing things differently: gaze shapes neural signal during mentalizing according to emotional awareness. Neuroimage. 2021;238:118223.
Google Scholar | Crossref | Medline2. Baron-Cohen, S, Wheelwright, S, Hill, J, Raste, Y, Plumb, I. The “reading the mind in the eyes” test revised version: a study with normal adults, and adults with asperger syndrome or high-functioning autism. J Child Psychol Psychiatry. 2001;42:241-251.
Google Scholar | Crossref | Medline3. Hadjikhani, N, Zurcher, NR, Lassalle, A, Hippolyte, L, Ward, N, Johnels, JÅ. The effect of constraining eye-contact during dynamic emotional face perception: an fMRI study. Soc Cogn Affect Neurosci. 2017;12:1197-1207.
Google Scholar | Crossref | Medline4. Mumford, JA, Poline, J-B, Poldrack, RA. Orthogonalization of regressors in fMRI models. PLoS One. 2015;10:e0126255.
Google Scholar | Crossref | Medline5. Borji, A, Sihite, DN, Itti, L. Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study. IEEE Trans Image Process. 2013;22:55-69.
Google Scholar | Crossref | Medline6. de Haas, B, Iakovidis, AL, Schwarzkopf, DS, Gegenfurtner, KR. Individual differences in visual salience vary along semantic dimensions. Proc Natl Acad Sci U S A. 2019;116:11687-11692.
Google Scholar | Medline7. Constantino, JN, Kennon-McGill, S, Weichselbaum, C, et al. Infant viewing of social scenes is under genetic control and is atypical in autism. Nature. 2017;547:340-344.
Google Scholar | Crossref | Medline8. Gamer, M, Buchel, C. Amygdala activation predicts gaze toward fearful eyes. J Neurosci. 2009;29:9123-9126.
Google Scholar | Crossref | Medline9. Schaafsma, SM, Pfaff, DW, Spunt, RP, Adolphs, R. Deconstructing and reconstructing theory of mind. Trends Cogn Sci. 2015;19:65-72.
Google Scholar | Crossref | Medline10. Marsman, JBC, Renken, R, Velichkovsky, BM, Hooymans, JMM, Cornelissen, FW. Fixation based event-related fmri analysis: using eye fixations as events in functional magnetic resonance imaging to reveal cortical processing during the free exploration of visual images. Hum Brain Mapp. 2012;33:307-318.
Google Scholar | Crossref | Medline11. Henderson, JM, Choi, W. Neural correlates of fixation duration during real-world scene viewing: evidence from fixation-related (FIRE) fMRI. J Cogn Neurosci. 2015;27:1137-1145.
Google Scholar | Crossref | Medline12. Korosteleva, A, Ushakov, V, Malakhov, D, Velichkovsky, B. Event-related fMRI analysis based on the eye tracking and the use of ultrafast sequences. Paper presented at: Advances in Intelligent Systems and Computing; ; Moscow, Russia; Springer:107-112.
Google Scholar13. Peitek, N, Siegmund, J, Parnin, C, Apel, S, Brechmann, A. Toward conjoint analysis of simultaneous eye-tracking and fMRI data for program-comprehension studies. Paper presented at: Proceedings of the Workshop on Eye Movements in Programming—EMIP ’18; , Warsaw, Poland; ACM Press:1-5.
Google Scholar14. O’Connell, TP, Chun, MM. Predicting eye movement patterns from fMRI responses to natural scenes. Nat Commun. 2018;9:5159.
Google Scholar | Crossref | Medline15. Son, J, Ai, L, Lim, R, et al. Evaluating fMRI-Based estimation of eye gaze during naturalistic viewing. Cereb Cortex. 2020;30:1171-1184.
Google Scholar | Crossref | Medline

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