Neural networks supporting social evaluation of bodies based on body shape

References

• Aguirre, G. K. (2007). Continuous carry-over designs for fMRI. Neuroimage, 35, 1480–1494. [Accessed July 29, 2015]. Available at http://www.sciencedirect.com/science/article/pii/S1053811907001048.
   Google Scholar
• Bi, Y., Wang, X., & Caramazza, A. (2016). Object domain and modality in the ventral visual pathway. Trends in Cognitive Sciences, 20, 282–290. Available at http://www.sciencedirect.com/science/article/pii/S1364661316000437
   Google Scholar
• Borkenau, P., & Liebler, A. (1992). Trait inferences: Sources of validity at zero acquaintance. Journal of Personality and Social Psychology, 62, 645–657.
   Google Scholar
• Calvo-Merino, B., Urgesi, C., Orgs, G., Aglioti, S. M., & Haggard, P. (2010). Extrastriate body area underlies aesthetic evaluation of body stimuli. Experimental Brain Research, 204, 447–456.
   Google Scholar
• Cazzato, V., Mele, S., & Urgesi, C. (2014). Gender differences in the neural underpinning of perceiving and appreciating the beauty of the body. Behavioural Brain Research, 264, 188–196. Available at http://www.sciencedirect.com/science/article/pii/S0166432814000680
   Google Scholar
• Cazzato, V., Mele, S., & Urgesi, C. (2016). Different contributions of visual and motor brain areas during liking judgments of same- and different-gender bodies. Brain Research, 1646, 98–108. Available at http://www.sciencedirect.com/science/article/pii/S0006899316304097
   Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.
   Google Scholar
• Cross, E. S., Kirsch, L., Ticini, L. F., & Schütz-Bosbach, S. (2011). The impact of aesthetic evaluation and physical ability on dance perception. Frontiers in Human Neuroscience, 5. doi:10.3389/fnhum.2011.00102
   Google Scholar
• Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. New York, NY: Routledge.
   Google Scholar
• de Gelder, B. (2006). Towards the neurobiology of emotional body language. Nature Reviews Neuroscience, 7, 242–249.
   Google Scholar
• de Gelder, B., van den Stock, J., Meeren, H. K. M., Sinke, C. B. A., Kret, M. E., & Tamietto, M. (2010). Standing up for the body. Recent progress in uncovering the networks involved in the perception of bodies and bodily expressions. Neuroscience & Biobehavioral Reviews, 34, 513–527.
   Google Scholar
• Dodell-Feder, D., Koster-Hale, J., Bedny, M., & Saxe, R. R. (2011). fMRI item analysis in a theory of mind task. Neuroimage, 55, 705–712. [Accessed June 9, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/21182967.
   Google Scholar
• Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The mini-IPIP scales: Tiny-yet-effective measures of the big five factors of personality. Psychological Assessment, 18, 192–203.
   Google Scholar
• Downing, P. E., Jiang, Y., Shuman, M., & Kanwisher, N. (2001). A cortical area selective for visual processing of the human body. Science (80-), 293, 2470–2473. [Accessed June 3, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/11577239.
   Google Scholar
• Downing, P. E., & Peelen, M. V. (2011). The role of occipitotemporal body-selective regions in person perception. Cognitive Neuroscience, 2, 186–226.
   Google Scholar
• Downing, P. E., & Peelen, M. V. (2016). Body selectivity in occipitotemporal cortex: Causal evidence. Neuropsychologia, 83, 138-148.
   Google Scholar
• Downing, P. E., Wiggett, A. J., & Peelen, M. V. (2007). Functional magnetic resonance imaging investigation of overlapping lateral occipitotemporal activations using multi-voxel pattern analysis. Journal of Neuroscience, 27, 226–233. [Accessed June 15, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/17202490.
   Google Scholar
• Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005). A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage, 25, 1325–1335.
   Google Scholar
• Eklund, A., Nichols, T. E., & Knutsson, H. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences of the United States of America, 113, 7900–7905.
   Google Scholar
• Fairhall, S. L., & Ishai, A. (2007). Effective connectivity within the distributed cortical network for face perception. Cerebral Cortex, 17(10), 2400-2406.
   Google Scholar
• Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997). Psychophysiological and modulatory interactions in neuroimaging. Neuroimage, 6, 218–229. Available at http://www.ncbi.nlm.nih.gov/pubmed/9344826
   Google Scholar
• Friston, K. J., & Price, C. J. (2001). Dynamic representations and generative models of brain function. Brain Research Bulletin, 54(3), 275-285.
   Google Scholar
• Friston, K. J., Worsley, K. J., Frackowiak, R. S., Mazziotta, J. C., & Evans, A. C. (1994). Assessing the significance of focal activations using their spatial extent. Human Brain Mapping, 1(3), 210-220.
   Google Scholar
• Frith, C. D., & Frith, U. (1999). Interacting minds–A biological basis. Science (80-), 286, 1692–1695. Available at [Accessed May 28, 2014].
   Google Scholar
• Gitelman, D. R., Penny, W. D., Ashburner, J., & Friston, K. J. (2003). Modeling regional and psychophysiologic interactions in fMRI: The importance of hemodynamic deconvolution. Neuroimage, 19, 200–207. [Accessed May 23, 2014]., Available at http://linkinghub.elsevier.com/retrieve/pii/S1053811903000582.
   Google Scholar
• Greven, I. M., Downing, P. E., & Ramsey, R. (2016). Linking person perception to person knowledge in the human brain. Social Cognitive and Affective Neuroscience, 11, 641–651.
   Google Scholar
• Greven, I. M., & Ramsey, R. (2017a). Person perception involves functional integration between the extrastriate body area and temporal pole. Neuropsychologia, 96, 52–60.
   Google Scholar
• Greven, I. M., & Ramsey, R. (2017b). Neural network integration during the perception of in-group and out-group members. Neuropsychologia, 106, 225–235.
   Google Scholar
• Harel, A., Kravitz, D. J., & Baker, C. I. (2014). Task context impacts visual object processing differentially across the cortex. Proceedings of the National Academy of Sciences, 111, E962–E971. Available at http://www.pnas.org/content/111/10/E962.abstract
   Google Scholar
• He, W., Garrido, M. I., Sowman, P. F., Brock, J., & Johnson, B. W. (2015). Development of effective connectivity in the core network for face perception. Human Brain Mapping, 36(6), 2161-2173.
   Google Scholar
• Hermann, P., Bankó, É. M., Gál, V., & Vidnyánszky, Z. (2015). Neural basis of identity information extraction from noisy face images. Journal of Neuroscience, 35(18), 7165–7173.
   Google Scholar
• Ishai, A. (2008). Let’s face it: It’s a cortical network. Neuroimage, 40, 415–419.
   Google Scholar
• Johnstone, L. T., & Downing, P. E. (2017). Dissecting the visual perception of body shape with the Garner selective attention paradigm. Visual Cognition, 25(4-6), 507-523..
   Google Scholar
• Josephs, O., & Henson, R. N. A. (1999). Event-related functional magnetic resonance imaging: Modelling, inference and optimization. Philosophical Transactions of the Royal Society B: Biological Sciences, 354, 1215–1228.
   Google Scholar
• Klapper, A., Ramsey, R., Wigboldus, D. H. J., & Cross, E. S. (2014). The control of automatic imitation based on bottom-up and top-down cues to animacy: Insights from brain and behavior. Journal of Cognitive Neuroscience, 26, 2503–2513.
   Google Scholar
• Kramer, R. S. S., & Ward, R. (2010). Internal facial features are signals of personality and health. Quarterly Journal of Experimental Psychology, 63, 2273–2287.
   Google Scholar
• Kriegeskorte, N., Mur, M., & Bandettino, P. (2008). Representational similarity analysis – Connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 1–28.
   Google Scholar
• Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 1–12.
   Google Scholar
• Ma, N., Baetens, K., Vandekerckhove, M., Kestemont, J., Fias, W., & van Overwalle, F. (2014). Traits are represented in the medial prefrontal cortex: An fMRI adaptation study. Social Cognitive and Affective Neuroscience, 9, 1185–1192.
   Google Scholar
• Ma, N., Vandekerckhove, M., van Overwalle, F., Seurinck, R., & Fias, W. (2011). Spontaneous and intentional trait inferences recruit a common mentalizing network to a different degree: Spontaneous inferences activate only its core areas. Social Neuroscience, 6, 123–138. [Accessed June 9, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/20661837.
   Google Scholar
• McLaren, D. G., Ries, M. L., Xu, G., & Johnson, S. C. (2012). A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches. Neuroimage, 61, 1277–1286. [Accessed June 12, 2014]. Available at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3376181&tool=pmcentrez&rendertype=abstract.
   Google Scholar
• Mechelli, A., Price, C. J., Friston, K. J., & Ishai, A. (2004). Where bottom-up meets top-down: Neuronal interactions during perception and imagery. Cerebral Cortex, 14(11), 1256-1265.
   Google Scholar
• Mitchell, J. P. (2009). Inferences about mental states. Philosophical Transactions of the Royal Society B: Biological Sciences, 364, 1309–1316. [Accessed June 2, 2014]. Available at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2666715&tool=pmcentrez&rendertype=abstract.
   Google Scholar
• Mitchell, J. P., Cloutier, J., Banaji, M. R., & Macrae, C. N. (2006). Medial prefrontal dissociations during processing of trait diagnostic and nondiagnostic person information. Social Cognitive and Affective Neuroscience, 1, 49–55. [Accessed July 8, 2014]. Available at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2555403&tool=pmcentrez&rendertype=abstract.
   Google Scholar
• Mitchell, J. P., Heatherton, T. F., & Macrae, C. N. (2002). Distinct neural systems subserve person and object knowledge. Proceedings of the National Academy of Sciences, 99, 15238–15243. Available at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=137574&tool=pmcentrez&rendertype=abstract
   Google Scholar
• Mitchell, J. P., Macrae, C. N., & Banaji, M. R. (2005). Forming impressions of people versus inanimate objects: Social-cognitive processing in the medial prefrontal cortex. Neuroimage, 26, 251–257. [Accessed June 16, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/15862225.
   Google Scholar
• Musher-Eizenman, D., & Carels, R. A. (2009). The impact of target weight and gender on perceptions of likeability, personality attributes, and functional impairment. Obesity Facts, 2, 311–317.
   Google Scholar
• Naumann, L. P., Vazire, S., Rentfrow, P. J., & Gosling, S. D. (2009). Personality judgments based on physical appearance. Personality and Social Psychology Bulletin, 35, 1661–1671. [Accessed May 31, 2014]., Available at http://www.ncbi.nlm.nih.gov/pubmed/19762717.
   Google Scholar
• Norman, K. A., Polyn, S. M., Detre, G. J., & Haxby, J. V. (2006). Beyond mind-reading: Multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10, 424–430. [Accessed July 9, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/16899397.
   Google Scholar
• Olson, I. R., McCoy, D., Klobusicky, E., & Ross, L. A. (2013). Social cognition and the anterior temporal lobes: A review and theoretical framework. Social Cognitive and Affective Neuroscience, 8, 123–133. [Accessed May 26, 2014]. Available at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3575728&tool=pmcentrez&rendertype=abstract.
   Google Scholar
• Peelen, M. V., & Downing, P. E. (2005). Selectivity for the human body in the fusiform gyrus. Journal of Neurophysiology, 93(1), 603-608.
   Google Scholar
• Peelen, M. V., & Downing, P. E. (2017). Category selectivity in human visual cortex: Beyond visual object recognition. Neuropsychologia, 105, 177–183. Available at http://www.sciencedirect.com/science/article/pii/S0028393217301215
   Google Scholar
• Puhl, R., & Brownell, K. D. (2001). Bias, discrimination, and obesity. Obesity Research, 9, 788–805.
   Google Scholar
• Puhl, R. M., & Heuer, C. A. (2009). The stigma of obesity: A review and update. Obesity, 17, 941–964.
   Google Scholar
• Quadflieg, S., Flannigan, N., Waiter, G. D., Rossion, B., Wig, G. S., Turk, D. J., & Macrae, C. N. (2011). Stereotype-based modulation of person perception. Neuroimage, 57, 549–557.
   Google Scholar
• Quadflieg, S., & Rossion, B. (2011). When perception and attention collide: Neural processing in EBA and FBA. Cognitive Neuroscience, 2, 209–210.
   Google Scholar
• Ramsey, R., van Schie, H. T., & Cross, E. S. (2011). No two are the same: Body shape is part of identifying others. Cognitive Neuroscience, 2, 207–208.
   Google Scholar
• Saxe, R. R., & Kanwisher, N. (2003). People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind. Neuroimage, 19, 1835–1842. [Accessed May 24, 2014]. Available at http://linkinghub.elsevier.com/retrieve/pii/S1053811903002301.
   Google Scholar
• Schwarzlose, R. F., Baker, C. I., & Kanwisher, N. (2005). Separate face and body selectivity on the fusiform gyrus. Journal of Neuroscience, 25(47), 11055-11059.
   Google Scholar
• Sell, A., Cosmides, L., Tooby, J., Sznycer, D., Von Rueden, C., & Gurven, M. (2009). Human adaptations for the visual assessment of strength and fighting ability from the body and face. Proceedings of the Royal Society London B, 276, 575–584.
   Google Scholar
• Sporns, O. (2013). The human connectome: Origins and challenges. Neuroimage, 80, 53–61.
   Google Scholar
• Sporns, O., Tononi, G., & Kötter, R. (2005). The human connectome: A structural description of the human brain. PLoS Computational Biology, 1, 0245–0251.
   Google Scholar
• Spunt, R. P., & Lieberman, M. D. (2012). Dissociating modality-specific and supramodal neural systems for action understanding. Journal of Neuroscience, 32, 3575–3583.
   Google Scholar
• Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31, 137–149.
   Google Scholar
• Stulp, G., Buunk, A. P., Verhulst, S., & Pollet, T. V. (2015). Human height is positively related to interpersonal dominance in dyadic interactions. PLoS One, 10(2): e0117860. doi:10.1371/journal.pone.0117860
   Google Scholar
• Sturman, D., Stephen, I. D., Mond, J., Stevenson, R. J., & Brooks, K. R. (2017). Independent aftereffects of fat and muscle: Implications for neural encoding, body space representation, and body image disturbance. Nature Science Reports, 7, 1–8.
   Google Scholar
• Todorov, A., Mende-Siedlecki, P., & Dotsch, R. (2013). Social judgments from faces. Current Opinion in Neurobiology, 23, 373–380.
   Google Scholar
• Uleman, J. S., Adil Saribay, S., & Gonzalez, C. M. (2008). Spontaneous inferences, implicit impressions, and implicit theories. Annual Review of Psychology, 59, 329–360. [Accessed May 30, 2014]. Available at http://www.ncbi.nlm.nih.gov/pubmed/17854284.
   Google Scholar
• Urgesi, C., Candidi, M., Ionta, S., & Aglioti, S. M. (2007). Representation of body identity and body actions in extrastriate body area and ventral premotor cortex. Nature Neuroscience, 10(1), 30.
   Google Scholar
• van Overwalle, F. (2009). Social cognition and the brain: A meta-analysis. Human Brain Mapping, 30, 829–858. Available at http://www.scopus.com/inward/record.url?eid=2-s2.0-60849090562&partnerID=tZOtx3y1
   Google Scholar
• Visser, M., Jefferies, E., & Lambon Ralph, M. A. (2010). Semantic processing in the anterior temporal lobes: A meta-analysis of the functional neuroimaging literature. Journal of Cognitive Neuroscience, 22(26), 1083–1094.
   Google Scholar
• Wager, T. D., & Nichols, T. E. (2003). Optimization of experimental design in fMRI: A general framework using a genetic algorithm. Neuroimage, 18, 293–309. [Accessed May 29, 2014]. Available at http://linkinghub.elsevier.com/retrieve/pii/S1053811902000460.
   Google Scholar
• Wang, Y., Collins, J. A., Koski, J., Nugiel, T., Metoki, A., & Olson, I. R. (2017). Dynamic neural architecture for social knowledge retrieval. Proceedings of the National Academy of Sciences, 114, E3305–E3314. Available at http://www.pnas.org/content/114/16/E3305.abstract
   Google Scholar
• Ware, J. E., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233. Available at http://journals.lww.com/lww-medicalcare/Fulltext/1996/03000/A_12_Item_Short_Form_Health_Survey__Construction.3.aspx
   Google Scholar