Anterior insular cortex regulation in autism spectrum disorders

Frontiers in Behavioral Neuroscience

Volumn 9, Issue , 2015, Pages

  Caria, Andrea ^a,b   de Falco, Simona ^c  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b IRCCS SAN CAMILLO HOSPITAL   (Italy)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

Anterior insula; Autism spectrum disorders; Instrumental learning; Neurofeedback; Real time fMRI

Indexed keywords

OXYTOCIN;

ANTERIOR INSULA; ARTICLE; AUTISM; AUTOREGULATION; BOLD SIGNAL; BRAIN FUNCTION; ELECTROENCEPHALOGRAM; EMOTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INSTRUMENTAL CONDITIONING; MENTAL TASK; NEUROFEEDBACK; NEUROIMAGING; NEUROMODULATION; REAL TIME FUNCTIONAL MAGNETIC RESONANCE IMAGING; REINFORCEMENT; SOCIAL BEHAVIOR;

EID: 84938605041     PISSN: 16625153     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnbeh.2015.00038     Document Type: Article

References (113)

1. Adolphs, R., Sears, L., and Piven, J. (2001). Abnormal processing of social information from faces in autism. J. Cogn. Neurosci. 13, 232-240. doi: 10.1162/089892901564289
2. Amaral, D. G., Schumann, C. M., and Nordahl, C. W. (2008). Neuroanatomy of autism. Trends Neurosci. 31, 137-145. doi: 10.1016/j.tins.2007.12.005
3. Amodio, D. M., and Frith, C. D. (2006). Meeting of minds: the medial frontal cortex and social cognition. Nat. Rev. Neurosci. 7, 268-277. doi: 10.1038/nrn1884
4. Andari, E., Duhamel, J. R., Zalla, T., Herbrecht, E., Leboyer, M., and Sirigu, A. (2010). Promoting social behavior with oxytocin in high-functioning autism spectrum disorders. Proc. Natl. Acad. Sci. U S A 107, 4389-4394. doi: 10.1073/pnas.0910249107
5. Anderson, J. S., Druzgal, T. J., Froehlich, A., DuBray, M. B., Lange, N., Alexander, A. L., et al. (2011a). Decreased interhemispheric functional connectivity in autism. Cereb. Cortex 21, 1134-1146. doi: 10.1093/cercor/bhq190
6. Anderson, J. S., Nielsen, J. A., Froehlich, A. L., DuBray, M. B., Druzgal, T. J., Cariello, A. N., et al. (2011b). Functional connectivity magnetic resonance imaging classification of autism. Brain 134, 3742-3754. doi: 10.1093/brain/awr263
7. Arns, M., Heinrich, H., and Strehl, U. (2014). Evaluation of neurofeedback in ADHD: the long and winding road.Biol. Psychol. 95, 108-115. doi: 10.1016/j.biopsycho.2013.11.013
8. Bagby, R. M., Taylor, G. J., and Parker, J. D. (1994). The twenty-item Toronto Alexithymia Scale-II. Convergent, discriminant and concurrent validity. J. Psychosom. Res. 38, 33-40. doi: 10.1016/0022-3999(94)90006-x
9. Barneveld, P. S., Pieterse, J., de Sonneville, L., van Rijn, S., Lahuis, B., van Engeland, H., et al. (2011). Overlap of autistic and schizotypal traits in adolescents with autism spectrum disorders. Schizophr. Res. 126, 231-236. doi: 10.1016/j.schres.2010.09.004
10. Baron-Cohen, S., Ring, H. A., Bullmore, E. T., Wheelwright, S., Ashwin, C., and Williams, S. C. (2000). The amygdala theory of autism. Neurosci. Biobehav. Rev. 24, 355-364. doi: 10.1016/s0149-7634(00)00011-7
11. Baron-Cohen, S., Ring, H. A., Wheelwright, S., Bullmore, E. T., Brammer, M. J., Simmons, A., et al. (1999). Social intelligence in the normal and autistic brain: an fMRI study. Eur. J. Neurosci. 11, 1891-1898. doi: 10.1046/j.1460-9568.1999.00621.x
12. Belmonte, M. K., Allen, G., Beckel-Mitchener, A., Boulanger, L. M., Carper, R. A., and Webb, S. J. (2004a). Autism and abnormal development of brain connectivity. J. Neurosci. 24, 9228-9231. doi: 10.1523/jneurosci.3340-04.2004
13. Belmonte, M. K., Cook, E. H. Jr., Anderson, G. M., Rubenstein, J. L., Greenough, W. T., Beckel-Mitchener, A., et al. (2004b). Autism as a disorder of neural information processing: directions for research and targets for therapy.Mol. Psychiatry 9, 646-663. doi: 10.1038/sj.mp.4001499
14. Birbaumer, N., Elbert, T., Canavan, A. G., and Rockstroh, B. (1990). Slow potentials of the cerebral cortex and behavior. Physiol. Rev. 70, 1-41.
15. Bird, G., Silani, G., Brindley, R., White, S., Frith, U., and Singer, T. (2010). Empathic brain responses in insula are modulated by levels of alexithymia but not autism. Brain 133, 1515-1525. doi: 10.1093/brain/awq060
16. Blair, R. J. (2005). Responding to the emotions of others: dissociating forms of empathy through the study of typical and psychiatric populations. Conscious. Cogn. 14, 698-718. doi: 10.1016/j.concog.2005.06.004
17. Bourgeron, T. (2009). A synaptic trek to autism. Curr. Opin. Neurobiol. 19, 231-234. doi: 10.1016/j.conb.2009.06.003
18. Bray, S., Shimojo, S., and O'Doherty, J. P. (2007). Direct instrumental conditioning of neural activity using functional magnetic resonance imaging-derived reward feedback. J. Neurosci. 27, 7498-7507. doi: 10.1523/jneurosci.2118-07.2007
19. Brock, J., Brown, C. C., Boucher, J., and Rippon, G. (2002). The temporal binding deficit hypothesis of autism. Dev. Psychopathol. 14, 209-224. doi: 10.1017/s0954579402002018
20. Caria, A., Sitaram, R., and Birbaumer, N. (2012). Real-time fMRI: a tool for local brain regulation. Neuroscientist18, 487-501. doi: 10.1177/1073858411407205
21. Caria, A., Sitaram, R., Veit, R., Begliomini, C., and Birbaumer, N. (2010). Volitional control of anterior insula activity modulates the response to aversive stimuli. A real-time functional magnetic resonance imaging study. Biol. Psychiatry 68, 425-432. doi: 10.1016/j.biopsych.2010.04.020
22. Caria, A., Veit, R., Sitaram, R., Lotze, M., Weiskopf, N., Grodd, W., et al. (2007). Regulation of anterior insular cortex activity using real-time fMRI. Neuroimage 35, 1238-1246. doi: 10.1016/j.neuroimage.2007.01.018
23. Caria, A., Venuti, P., and de Falco, S. (2011). Functional and dysfunctional brain circuits underlying emotional processing of music in autism spectrum disorders. Cereb. Cortex 21, 2838-2849. doi: 10.1093/cercor/bhr084
24. Carr, L., Iacoboni, M., Dubeau, M. C., Mazziotta, J. C., and Lenzi, G. L. (2003). Neural mechanisms of empathy in humans: a relay from neural systems for imitation to limbic areas. Proc. Natl. Acad. Sci. U S A 100, 5497-5502. doi: 10.1073/pnas.0935845100
25. Casanova, M., and Trippe, J. (2009). Radial cytoarchitecture and patterns of cortical connectivity in autism.Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 1433-1436. doi: 10.1098/rstb.2008.0331
26. Chakrabarti, S., and Fombonne, E. (2001). Pervasive developmental disorders in preschool children. JAMA 285, 3093-3099. doi: 10.1001/jama.285.24.3093
27. Coben, R., and Padolsky, I. (2007). Assessment-guided neurofeedback for autistic spectrum disorders. J. Neurother. 11, 5-23. doi: 10.1300/j184v11n01_02
28. Courchesne, E., and Pierce, K. (2005). Why the frontal cortex in autism might be talking only to itself: local over-connectivity but long-distance disconnection. Curr. Opin. Neurobiol. 15, 225-230. doi: 10.1016/j.conb.2005.03.001
29. Craig, A. D. (2003). Interoception: the sense of the physiological condition of the body. Curr. Opin. Neurobiol. 13, 500-505. doi: 10.1016/s0959-4388(03)00090-4
30. Craig, A. D. (2009a). Emotional moments across time: a possible neural basis for time perception in the anterior insula. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 1933-1942. doi: 10.1098/rstb.2009.0008
31. Craig, A. D. (2009b). How do you feel-now? The anterior insula and human awareness. Nat. Rev. Neurosci. 10, 59-70. doi: 10.1038/nrn2555
32. Critchley, H. D., Wiens, S., Rotshtein, P., Ohman, A., and Dolan, R. J. (2004). Neural systems supporting interoceptive awareness. Nat. Neurosci. 7, 189-195. doi: 10.1038/nn1176
33. Dapretto, M., Davies, M. S., Pfeifer, J. H., Scott, A. A., Sigman, M., Bookheimer, S. Y., et al. (2006). Understanding emotions in others: mirror neuron dysfunction in children with autism spectrum disorders. Nat. Neurosci. 9, 28-30. doi: 10.1038/nn1611
34. deCharms, R. C., Christoff, K., Glover, G. H., Pauly, J. M., Whitfield, S., and Gabrieli, J. D. (2004). Learned regulation of spatially localized brain activation using real-time fMRI. Neuroimage 21, 436-443. doi: 10.1016/j.neuroimage.2003.08.041
35. deCharms, R. C., Maeda, F., Glover, G. H., Ludlow, D., Pauly, J. M., Soneji, D., et al. (2005). Control over brain activation and pain learned by using real-time functional MRI. Proc. Natl. Acad. Sci. U S A 102, 18626-18631. doi: 10.1073/pnas.0505210102
36. de Lacy, N., and King, B. H. (2013). Revisiting the relationship between autism and schizophrenia: toward an integrated neurobiology. Annu. Rev. Clin. Psychol. 9, 555-587. doi: 10.1146/annurev-clinpsy-050212-185627
37. Di Martino, A., Ross, K., Uddin, L. Q., Sklar, A. B., Castellanos, F. X., and Milham, M. P. (2009). Functional brain correlates of social and nonsocial processes in autism spectrum disorders: an activation likelihood estimation meta-analysis. Biol. Psychiatry 65, 63-74. doi: 10.1016/j.biopsych.2008.09.022
38. Duric, N. S., Assmus, J., Gundersen, D., and Elgen, I. B. (2012). Neurofeedback for the treatment of children and adolescents with ADHD: a randomized and controlled clinical trial using parental reports. BMC Psychiatry 12:107. doi: 10.1186/1471-244x-12-107
39. Ebisch, S. J., Gallese, V., Willems, R. M., Mantini, D., Groen, W. B., Romani, G. L., et al. (2011). Altered intrinsic functional connectivity of anterior and posterior insula regions in high-functioning participants with autism spectrum disorder. Hum. Brain Mapp. 32, 1013-1028. doi: 10.1002/hbm.21085
40. Elsabbagh, M., Divan, G., Koh, Y. J., Kim, Y. S., Kauchali, S., Marcin, C., et al. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism Res. 5, 160-179. doi: 10.1002/aur.239
41. Fazio, R. H., and Olson, M. A. (2003). Implicit measures in social cognition. research: their meaning and use. Annu. Rev. Psychol. 54, 297-327. doi: 10.1146/annurev.psych.54.101601.145225
42. Gaigg, S. B., and Bowler, D. M. (2007). Differential fear conditioning in Asperger's syndrome: implications for an amygdala theory of autism. Neuropsychologia 45, 2125-2134. doi: 10.1016/j.neuropsychologia.2007.01.012
43. Geschwind, D. H. (2011). Genetics of autism spectrum disorders. Trends Cogn. Sci. 15, 409-416. doi: 10.1016/j.tics.2011.07.003
44. Geschwind, D. H., and Levitt, P. (2007). Autism spectrum disorders: developmental disconnection syndromes.Curr. Opin. Neurobiol. 17, 103-111. doi: 10.1016/j.conb.2007.01.009
45. Gordon, I., Vander Wyk, B. C., Bennett, R. H., Cordeaux, C., Lucas, M. V., Eilbott, J. A., et al. (2013). Oxytocin enhances brain function in children with autism. Proc. Natl. Acad. Sci. U S A 110, 20953-20958. doi: 10.1073/pnas.1312857110
46. Greenwald, A. G., McGhee, D. E., and Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: the implicit association test. J. Pers. Soc. Psychol. 74, 1464-1480. doi: 10.1037/0022-3514.74.6.1464
47. Guastella, A. J., Einfeld, S. L., Gray, K. M., Rinehart, N. J., Tonge, B. J., Lambert, T. J., et al. (2010). Intranasal oxytocin improves emotion recognition for youth with autism spectrum disorders. Biol. Psychiatry 67, 692-694. doi: 10.1016/j.biopsych.2009.09.020
48. Hadjikhani, N., Joseph, R. M., Snyder, J., and Tager-Flusberg, H. (2006). Anatomical differences in the mirror neuron system and social cognition network in autism. Cereb. Cortex 16, 1276-1282. doi: 10.1093/cercor/bhj069
49. Hadjikhani, N., Joseph, R. M., Snyder, J., and Tager-Flusberg, H. (2007). Abnormal activation of the social brain during face perception in autism. Hum. Brain Mapp. 28, 441-449. doi: 10.1002/hbm.20283
50. Happé, F., and Ronald, A. (2008). The 'fractionable autism triad': a review of evidence from behavioural, genetic, cognitive and neural research. Neuropsychol. Rev. 18, 287-304. doi: 10.1007/s11065-008-9076-8
51. Happe, F., Ronald, A., and Plomin, R. (2006). Time to give up on a single explanation for autism. Nat. Neurosci. 9, 1218-1220. doi: 10.1038/nn1770
52. Heinrich, H., Gevensleben, H., and Strehl, U. (2007). Annotation: neurofeedback-train your brain to train behaviour. J. Child Psychol. Psychiatry 48, 3-16. doi: 10.1111/j.1469-7610.2006.01665.x
53. Hollander, E., Bartz, J., Chaplin, W., Phillips, A., Sumner, J., Soorya, L., et al. (2007). Oxytocin increases retention of social cognition in autism. Biol. Psychiatry 61, 498-503. doi: 10.1016/j.biopsych.2006.05.030
54. Hughes, J. R. (2007). Autism: the first firm finding = underconnectivity? Epilepsy Behav. 11, 20-24. doi: 10.1016/j.yebeh.2007.03.010
55. Jarusiewicz, B. (2002). Efficacy of neurofeedback for children in the autistic spectrum: a pilot study. J. Neurother.6, 39-49. doi: 10.1300/j184v06n04_05
56. Johnson, K. A., Hartwell, K., LeMatty, T., Borckardt, J., Morgan, P. S., Govindarajan, K., et al. (2012). Intermittent "real-time" fMRI feedback is superior to continuous presentation for a motor imagery task: a pilot study. J. Neuroimaging 22, 58-66. doi: 10.1111/j.1552-6569.2010.00529.x
57. Just, M. A., Cherkassky, V. L., Keller, T. A., and Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain 127, 1811-1821. doi: 10.1093/brain/awh199
58. Klinger, L. G., and Dawson, G. (2001). Prototype formation in autism. Dev. Psychopathol. 13, 111-124. doi: 10.1017/s0954579401001080
59. Klinger, L. G., Klinger, M. R., and Pohlig, R. A. (2007). "Implicit learning impairments in autism spectrum disorders: implications for treatment," in New Developments in Autism, eds P. M. G. J. M. Perez, M. L. Comi and C. Nieto (London: Jessica Kingsley), 76-103.
60. Kouijzer, M. E. J., de Moor, J. M. H., Gerrits, B. J. L., Buitelaar, J. K., and van Schie, H. T. (2009a). Long-term effects of neurofeedback treatment in autism. Res. Autism Spectr. Disord. 3, 496-501. doi: 10.1016/j.rasd.2008.10.003
61. Kouijzer, M. E. J., de Moor, J. M. H., Gerrits, B. J. L., Congedo, M., and van Schie, H. T. (2009b). Neurofeedback improves executive functioning in children with autism spectrum disorders. Res. Autism Spectr. Disord. 3, 145-162. doi: 10.1016/j.rasd.2008.05.001
62. Kouijzer, M. E. J., van Schie, H. T., de Moor, J. M. H., Gerrits, B. J. L., and Buitelaar, J. K. (2010). Neurofeedback treatment in autism. Preliminary findings in behavioral, cognitive and neurophysiological functioning. Res. Autism Spectr. Disord. 4, 386-399. doi: 10.1016/j.rasd.2009.10.007
63. Koush, Y., Rosa, M. J., Robineau, F., Heinen, K., Rieger, S. W., Weiskopf, N., et al. (2013). Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI. Neuroimage 81, 422-430. doi: 10.1016/j.neuroimage.2013.05.010
64. Lane, R. D., and Schwartz, G. E. (1987). Levels of emotional awareness: a cognitive-developmental theory and its application to psychopathology. Am. J. Psychiatry 144, 133-143. doi: 10.1176/ajp.144.2.133
65. Lawrence, E. J., Su, L., Barker, G. J., Medford, N., Dalton, J., Williams, S. C., et al. (2013). Self-regulation of the anterior insula: reinforcement learning using real-time fMRI neurofeedback. Neuroimage 88C, 113-124. doi: 10.1016/j.neuroimage.2013.10.069
66. Lee, S., Ruiz, S., Caria, A., Veit, R., Birbaumer, N., and Sitaram, R. (2011). Detection of cerebral reorganization induced by real-time fMRI feedback training of insula activation: a multivariate investigation. Neurorehabil. Neural Repair 25, 259-267. doi: 10.1177/1545968310385128
67. Leslie, K. R., Johnson-Frey, S. H., and Grafton, S. T. (2004). Functional imaging of face and hand imitation: towards a motor theory of empathy. Neuroimage 21, 601-607. doi: 10.1016/j.neuroimage.2003.09.038
68. Levitt, P., and Campbell, D. B. (2009). The genetic and neurobiologic compass points toward common signaling dysfunctions in autism spectrum disorders. J. Clin. Invest. 119, 747-754. doi: 10.1172/JCI37934
69. Levy, S. E., Mandell, D. S., and Schultz, R. T. (2009). Autism. Lancet 374, 1627-1638. doi: 10.1016/S0140-6736(09)61376-3
70. Linden, D. E., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., et al. (2012). Real-time self-regulation of emotion networks in patients with depression. PLoS One 7:e38115. doi: 10.1371/journal.pone.0038115
71. Maglione, M. A., Gans, D., Das, L., Timbie, J., Kasari, C., Technical Expert Panel, et al. (2012). Nonmedical interventions for children with ASD: recommended guidelines and further research needs. Pediatrics 130(Suppl. 2), S169-S178. doi: 10.1542/peds.2012-0900O
72. Molesworth, C. J., Bowler, D. M., and Hampton, J. A. (2005). The prototype effect in recognition memory: intact in autism? J. Child Psychol. Psychiatry 46, 661-672. doi: 10.1111/j.1469-7610.2004.00383.x
73. Müller, R. A. (2007). The study of autism as a distributed disorder. Ment. Retard. Dev. Disabil. Res. Rev. 13, 85-95. doi: 10.1002/mrdd.20141
74. Müller, R. A., Shih, P., Keehn, B., Deyoe, J. R., Leyden, K. M., and Shukla, D. K. (2011). Underconnected, but how? A survey of functional connectivity MRI studies in autism spectrum disorders. Cereb. Cortex 21, 2233-2243. doi: 10.1093/cercor/bhq296
75. Oristaglio, J., Hyman West, S., Ghaffari, M., Lech, M. S., Verma, B. R., Harvey, J. A., et al. (2013). Children with autism spectrum disorders show abnormal conditioned response timing on delay, but not trace, eyeblink conditioning. Neuroscience 248, 708-718. doi: 10.1016/j.neuroscience.2013.06.007
76. Pelphrey, K. A., and Carter, E. J. (2008). Brain mechanisms for social perception: lessons from autism and typical development. Ann. N Y Acad. Sci. 1145, 283-299. doi: 10.1196/annals.1416.007
77. Pelphrey, K. A., Sasson, N. J., Reznick, J. S., Paul, G., Goldman, B. D., and Piven, J. (2002). Visual scanning of faces in autism. J. Autism Dev. Disord. 32, 249-261. doi: 10.1023/A:1016374617369
78. Pfeifer, J. H., Iacoboni, M., Mazziotta, J. C., and Dapretto, M. (2008). Mirroring others' emotions relates to empathy and interpersonal competence in children. Neuroimage 39, 2076-2085. doi: 10.1016/j.neuroimage.2007.10.032
79. Pineda, J. A., Carrasco, K., Datko, M., Pillen, S., and Schalles, M. (2014). Neurofeedback training produces normalization in behavioural and electrophysiological measures of high-functioning autism. Philos. Trans. R. Soc. Lond. B Biol. Sci. 369:20130183. doi: 10.1098/rstb.2013.0183
80. Powell, P. S., Crisler, M., Klinger, L. G., Travers, B. G., and Klinger, M. R. (2012). "Impaired classical conditioning in persons with autism spectrum disorder," in International Meeting for Autism Research (Toronto).
81. Quattrocki, E., and Friston, K. (2014). Autism, oxytocin and interoception. Neurosci. Biobehav. Rev. 47C, 410-430. doi: 10.1016/j.neubiorev.2014.09.012
82. Radeloff, D., Ciaramidaro, A., Siniatchkin, M., Hainz, D., Schlitt, S., Weber, B., et al. (2014). Structural alterations of the social brain: a comparison between schizophrenia and autism. PLoS One 9:e106539. doi: 10.1371/journal.pone.0106539
83. Rescorla, R. A. (1984). The psychology of learning: conditioning and associative learning. Science 223, 388-389. doi: 10.1126/science.223.4634.388
84. Rippon, G., Brock, J., Brown, C., and Boucher, J. (2007). Disordered connectivity in the autistic brain: challenges for the "new psychophysiology". Int. J. Psychophysiol. 63, 164-172. doi: 10.1016/j.ijpsycho.2006.03.012
85. Roberts, L. E., Birbaumer, N., Rockstroh, B., Lutzenberger, W., and Elbert, T. (1989). Self-report during feedback regulation of slow cortical potentials. Psychophysiology 26, 392-403. doi: 10.1111/j.1469-8986.1989.tb01941.x
86. Ruiz, S., Lee, S., Soekadar, S. R., Caria, A., Veit, R., Kircher, T., et al. (2013). Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum. Brain Mapp. 34, 200-212. doi: 10.1002/hbm.21427
87. Scharnowski, F., Hutton, C., Josephs, O., Weiskopf, N., and Rees, G. (2012). Improving visual perception through neurofeedback. J. Neurosci. 32, 17830-17841. doi: 10.1523/JNEUROSCI.6334-11.2012
88. Schipul, S. E., Williams, D. L., Keller, T. A., Minshew, N. J., and Just, M. A. (2012). Distinctive neural processes during learning in autism. Cereb. Cortex 22, 937-950. doi: 10.1093/cercor/bhr162
89. Schultz, W. (2000). Multiple reward signals in the brain. Nat. Rev. Neurosci. 1, 199-207. doi: 10.1038/35042066
90. Schultz, R. T. (2005). Developmental deficits in social perception in autism: the role of the amygdala and fusiform face area. Int. J. Dev. Neurosci. 23, 125-141. doi: 10.1016/j.ijdevneu.2004.12.012
91. Scolnick, B. (2005). Effects of electroencephalogram biofeedback with Asperger's syndrome. Int. J. Rehabil. Res.28, 159-163. doi: 10.1097/00004356-200506000-00010
92. Sears, L. L., Finn, P. R., and Steinmetz, J. E. (1994). Abnormal classical eye-blink conditioning in autism. J. Autism Dev. Disord. 24, 737-751. doi: 10.1007/bf02172283
93. Seth, A. K. (2013). Interoceptive inference, emotion and the embodied self. Trends Cogn. Sci. 17, 565-573. doi: 10.1016/j.tics.2013.09.007
94. Sherlin, L., Arns, M., Lubar, J., Heinrich, H., Kerson, C., Strehl, U., et al. (2011). Neurofeedback and basic learning theory: implications for research and practice. J. Neurother. 15, 292-304. doi: 10.1080/10874208.2011.623089
95. Shibata, K., Watanabe, T., Sasaki, Y., and Kawato, M. (2011). Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation. Science 334, 1413-1415. doi: 10.1126/science.1212003
96. Silani, G., Bird, G., Brindley, R., Singer, T., Frith, C., and Frith, U. (2008). Levels of emotional awareness and autism: an fMRI study. Soc. Neurosci. 3, 97-112. doi: 10.1080/17470910701577020
97. Simpson, E. A., Sclafani, V., Paukner, A., Hamel, A. F., Novak, M. A., Meyer, J. S., et al. (2014). Inhaled oxytocin increases positive social behaviors in newborn macaques. Proc. Natl. Acad. Sci. U S A 111, 6922-6927. doi: 10.1073/pnas.1402471111
98. Singer, T. (2006). The neuronal basis and ontogeny of empathy and mind reading: review of literature and implications for future research. Neurosci. Biobehav. Rev. 30, 855-863. doi: 10.1016/j.neubiorev.2006.06.011
99. Singer, T., Critchley, H. D., and Preuschoff, K. (2009). A common role of insula in feelings, empathy and uncertainty. Trends Cogn. Sci. 13, 334-340. doi: 10.1016/j.tics.2009.05.001
100. Sitaram, R., Caria, A., Veit, R., Gaber, T., Ruiz, S., and Birbaumer, N. (2014). Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study. Front. Behav. Neurosci. 8:344. doi: 10.3389/fnbeh.2014.00344
101. Sokol, D. K., and Edwards-Brown, M. (2004). Neuroimaging in autistic spectrum disorder (ASD). J. Neuroimaging14, 8-15. doi: 10.1111/j.1552-6569.2004.tb00210.x
102. Solomon, M., Frank, M. J., Ragland, J. D., Smith, A. C., Niendam, T. A., Lesh, T. A., et al. (2015). Feedback-driven trial-by-trial learning in autism spectrum disorders. Am. J. Psychiatry 172, 173-181. doi: 10.1176/appi.ajp.2014.14010036
103. Solomon, M., Smith, A. C., Frank, M. J., Ly, S., and Carter, C. S. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Res. 4, 109-120. doi: 10.1002/aur.177
104. State, M. W., and Levitt, P. (2011). The conundrums of understanding genetic risks for autism spectrum disorders.Nat. Neurosci. 14, 1499-1506. doi: 10.1038/nn.2924
105. Steiner, N. J., Frenette, E., Hynes, C., Pisarik, E., Tomasetti, K., Perrin, E. C., et al. (2014a). A pilot feasibility study of neurofeedback for children with autism. Appl. Psychophysiol. Biofeedback 39, 99-107. doi: 10.1007/s10484-014-9241-1
106. Steiner, N. J., Frenette, E. C., Rene, K. M., Brennan, R. T., and Perrin, E. C. (2014b). Neurofeedback and cognitive attention training for children with attention-deficit hyperactivity disorder in schools. J. Dev. Behav. Pediatr. 35, 18-27. doi: 10.1097/DBP.0000000000000009
107. Strehl, U., Birkle, S. M., Worz, S., and Kotchoubey, B. (2014). Sustained reduction of seizures in patients with intractable epilepsy after self-regulation training of slow cortical potentials - 10 years after. Front. Hum. Neurosci.8:604. doi: 10.3389/fnhum.2014.00604
108. Sulzer, J., Haller, S., Scharnowski, F., Weiskopf, N., Birbaumer, N., Blefari, M. L., et al. (2013). Real-time fMRI neurofeedback: progress and challenges. Neuroimage 76, 386-399. doi: 10.1016/j.neuroimage.2013.03.033
109. Thompson, L., Thompson, M., and Reid, A. (2010). Neurofeedback outcomes in clients with Asperger's syndrome.Appl. Psychophysiol. Biofeedback 35, 63-81. doi: 10.1007/s10484-009-9120-3
110. Uddin, L. Q., and Menon, V. (2009). The anterior insula in autism: under-connected and under-examined.Neurosci. Biobehav. Rev. 33, 1198-1203. doi: 10.1016/j.neubiorev.2009.06.002
111. Villalobos, M. E., Mizuno, A., Dahl, B. C., Kemmotsu, N., and Müller, R. A. (2005). Reduced functional connectivity between V1 and inferior frontal cortex associated with visuomotor performance in autism. Neuroimage 25, 916-925. doi: 10.1016/j.neuroimage.2004.12.022
112. Weiskopf, N. (2012). Real-time fMRI and its application to neurofeedback. Neuroimage 62, 682-692. doi: 10.1016/j.neuroimage.2011.10.009
113. Zilverstand, A., Sorger, B., Zimmermann, J., Kaas, A., and Goebel, R. (2014). Windowed correlation: a suitable tool for providing dynamic fMRI-based functional connectivity neurofeedback on task difficulty. PLoS One 9:e85929. doi: 10.1371/journal.pone.0085929