Cyborg psychiatry to ensure agency and autonomy in mental disorders. A proposal for neuromodulation therapeutics

Frontiers in Human Neuroscience

Volumn , Issue SEP, 2013, Pages

  Micoulaud Franchi, Jean Arthur ^a,b   Fond, Guillaume ^c   Dumas, Guillaume ^d,e  

^a HÔPITAL SAINTE MARGUERITE   (France)

^b CNRS   (France)

^c UNIVERSITÉ PARIS EST CRÉTEIL   (France)

^d Centre National de la Recherche Scientifique   (France)

^e FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

Brain computer interface; Brain state dependent stimulation; Mental disorder; Neurocognitive networks; Neurofeedback; Non invasive brain stimulation; Psychiatry; Transcranial magnetic stimulation

Indexed keywords

EID: 84885040117     PISSN: 16625161     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnhum.2013.00463     Document Type: Article

References (56)

1. Andrews, S. C., Hoy, K. E., Enticott, P. G., Daskalakis, Z. J., and Fitzgerald, P. B. (2011). Improving working memory: the effect of combining cognitive activity and anodal transcranial direct current stimulation to the left dorsolateral prefrontal cortex. Brain Stimul. 4, 84-89. doi: 10.1016/j.brs.2010.06.004
2. Bach-Y-Rita, P. (2003). Late postacute neurologic rehabilitation: neuroscience, engineering, and clinical programs. Arch. Phys. Med. Rehabil. 84, 1100-1108. doi: 10.1016/S0003-9993(03)00312-5
3. Bach-Y-Rita, P., and Kercel, W. (2003). Sensory substitution and the human-machine interface. Trends Cogn. Sci. 7, 541-546. doi: 10.1016/j.tics.2003.10.013
4. Birbaumer, N., and Cohen, L. G. (2007). Brain-computer interfaces: communication and restoration of movement in paralysis. J. Physiol. 579, 621-636. doi: 10.1113/jphysiol.2006.125633
5. Bonnard, M., Camus, M., de Graaf, J., and Pailhous, J. (2003). Direct evidence for a binding between cognitive and motor functions in humans: a TMS study. J. Cogn. Neurosci. 15, 1207-1216. doi: 10.1162/089892903322598157
6. Cherici, C., and Barbara, J. (2007). EEG trois lettres pour percer les mystères du cerveau: Antoine Rémond, de l'origine aux nappes spatio-temporelles. La revue pour l'histoire du CNRS, 19. Available online at: http://histoire-cnrs.revues.org/5062
7. Clynes, M. (1995). "Sentic space travel, " in The Cyborg Handbook, eds C. Hables Gray, H. Figueoa-Sarriera, and S. Mentor (New York, NY: Routledge), 35-42.
8. Clynes, M., and Kline, N. (1960). Cyborgs and space. Aeronautics 26-27, 74-76.
9. Coben, R., and Evans, J. R. (2011). Neurofeedback and Neuromodulation Techniques and Applications. London, UK: Elsevier.
10. Corke, P. I., and Good, M. C. (1996). Dynamic effects in visual closed-loop systems. IEEE Trans. Robot. Autom. 12, 671-683. doi: 10.1109/70.538973
11. deCharms, R. C. (2008). Applications of real-time fMRI. Nat. Rev. Neurosci. 9, 720-729. doi: 10.1038/nrn2414
12. Fitzgerald, P. B. (2010). TMS-EEG: a technique that has come of age. Clin. Neurophysiol. 121, 265-267. doi: 10.1016/j.clinph.2009.11.012
13. Fond, G., Macgregor, A., and Miot, S. (2012). Nanopsychiatry-the potential role of nanotechnologies in the future of psychiatry: a systematic review. Eur. Neuropsychopharmacol. doi: 10.1016/j.euroneuro.2012.10.016. [Epub ahead of print].
14. Glannon, W. (2013). Neuromodulation, agency and autonomy. Brain Topogr. (in press). doi: 10.1007/s10548-012-0269-3
15. Goldapple, K., Segal, Z., Garson, C., Lau, M., Bieling, P., Kennedy, S., et al. (2004). Modulation of cortical-limbic pathways in major depression: treatment-specific effects of cognitive behavior therapy. Arch. Gen. Psychiatry 61, 34-41. doi: 10.1001/archpsyc.61.1.34
16. Gray, C. H. (1995). The Cyborg Handbook. New York, NY: Routledge.
17. Huerta, P. T., and Volpe, B. T. (2009). Transcranial magnetic stimulation, synaptic plasticity and network oscillations. J. Neuroeng. Rehabil. 6, 7. doi: 10.1186/1743-0003-6-7
18. Ilmoniemi, R. J., Virtanen, J., Ruohonen, J., Karhu, J., Aronen, H. J., Naatanen, R., et al. (1997). Neuronal responses to magnetic stimulation reveal cortical reactivity and connectivity. Neuroreport 8, 3537-3540. doi: 10.1097/00001756-199711100-00024
19. Karim, A., Kammer, T., Cohen, L., and Birbaumer, N. (2004). Effects of TMS and tDCS on the physiological regulation of cortical excitability in a brain-computer interface. Biomed. Tech. 49, 55-57.
20. Kelso, J. A., de Guzman, G. C., Reveley, C., and Tognoli, E. (2009). Virtual Partner Interaction (VPI): exploring novel behaviors via coordination dynamics. PLoS ONE 4:e5749. doi: 10.1371/journal.pone.0005749
21. Kotchoubey, B., Strehl, U., Uhlmann, C., Holzapfel, S., Konig, M., Froscher, W., et al. (2001). Modification of slow cortical potentials in patients with refractory epilepsy: a controlled outcome study. Epilepsia 42, 406-416. doi: 10.1046/j.1528-1157.2001.22200.x
22. Kubler, A., Schmidt, K., Cohen, L. G., Lotze, M., Winter, S., Hinterberger, T., et al. (2002). Modulation of slow cortical potentials by transcranial magnetic stimulation in humans. Neurosci. Lett. 324, 205-208. doi: 10.1016/S0304-3940(02)00197-0
23. Linden, D. E. (2006). How psychotherapy changes the brain-the contribution of functional neuroimaging. Mol. Psychiatry 11, 528-538. doi: 10.1038/sj.mp.4001816
24. Lisanby, S. H., Kinnunen, L. H., and Crupain, M. J. (2002). Applications of TMS to therapy in psychiatry. J. Clin. Neurophysiol. 19, 344-360. doi: 10.1097/00004691-200208000-00007
25. Mackey, M. C., and Milton, J. G. (1987). Dynamical diseases. Ann. N Y. Acad. Sci. 504, 16-32. doi: 10.1111/j.1749-6632.1987.tb48723.x
26. Marzullo, T. C., Lehmkuhle, M. J., Gage, G. J., and Kipke, D. R. (2010). Development of closed-loop neural interface technology in a rat model: combining motor cortex operant conditioning with visual cortex microstimulation. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 117-126. doi: 10.1109/TNSRE.2010.2041363
27. Micoulaud-Franchi, J. A., Fakra, E., Cermolacce, M., and Vion-Dury, J. (2012). [Towards a new approach of neurophysiology in clinical psychiatry: functional magnetic resonance imaging neurofeedback applied to emotional dysfunctions]. Neurophysiol. Clin. 42, 79-94. doi: 10.1016/j.neucli.2011.12.002
28. Micoulaud-Franchi, J. A., Richieri, R., Lancon, C., and Vion-Dury, J. (2013). Interactive rTMS protocols in psychiatry. Encéphale. doi: 10.1016/j.encep.2013.04.009. [Epub ahead of print].
29. Micoulaud-Franchi, J. A., and Vion-Dury, J. (2011). One step more toward new therapeutic options in brain stimulation: two models of EEG-based rTMS-from "EEG-contingent rTMS" to "EEG-biofeedback rTMS. " Brain Stimul. 4, 122-123. doi: 10.1016/j.brs.2010.08.001
30. Miniussi, C., and Rossini, P. M. (2011). Transcranial magnetic stimulation in cognitive rehabilitation. Neuropsychol. Rehabil. 21, 579-601. doi: 10.1080/09602011.2011.562689
31. Miniussi, C., and Vallar, G. (2011). Brain stimulation and behavioural cognitive rehabilitation: a new tool for neurorehabilitation. Neuropsychol. Rehabil. 21, 553-559. doi: 10.1080/09602011.2011.622435
32. Mussa-Ivaldi, F. A., Alford, S. T., Chiappalone, M., Fadiga, L., Karniel, A., Kositsky, M., et al. (2010). New perspectives on the dialogue between brains and machines. Front. Neurosci. 4:44. doi: 10.3389/neuro.01.008.2010
33. Paquette, V., Beauregard, M., and Beaulieu-Prevost, D. (2009). Effect of a psychoneurotherapy on brain electromagnetic tomography in individuals with major depressive disorder. Psychiatry Res. 174, 231-239. doi: 10.1016/j.pscychresns.2009.06.002
34. Peled, A. (2004). From plasticity to complexity: a new diagnostic method for psychiatry. Med. Hypotheses 63, 110-114. doi: 10.1016/j.mehy.2004.02.010
35. Peled, A. (2005). Plasticity imbalance in mental disorders the neuroscience of psychiatry: implications for diagnosis and research. Med. Hypotheses 65, 947-952. doi: 10.1016/j.mehy.2005.05.007
36. Peled, A. (2006). Brain profiling and clinical-neuroscience. Med. Hypotheses 67, 941-946. doi: 10.1016/j.mehy.2006.03.029
37. Peled, A. (2008). Neuroanalysis. New York, NY: Routledge.
38. Peled, A. (2009). Neuroscientific psychiatric diagnosis. Med. Hypotheses 73, 220-229. doi: 10.1016/j.mehy.2009.02.039
39. Pezard, L., and Nandrino, J. L. (2001). [Dynamic paradigm in psychopathology: "chaos theory, " from physics to psychiatry]. Encephale 27, 260-268.
40. Pfurtscheller, G., Allison, B. Z., Brunner, C., Bauernfeind, G., Solis-Escalante, T., Scherer, R., et al. (2010). The hybrid, B. C. I. Front. Neurosci. 4:42. doi: 10.3389/fnpro.2010.00003
41. Polania, R., Nitsche, M. A., and Paulus, W. (2010). Modulating functional connectivity patterns and topological functional organization of the human brain with transcranial direct current stimulation. Hum. Brain Mapp. 32, 1236-1249. doi: 10.1002/hbm.21104
42. Price, G. W., Lee, J. W., Garvey, C. A., and Gibson, N. (2010). The use of background EEG activity to determine stimulus timing as a means of improving rTMS efficacy in the treatment of depression: a controlled comparison with standard techniques. Brain Stimul. 3, 140-152. doi: 10.1016/j.brs.2009.08.004
43. Prinz, A. A., Abbott, L. F., and Marder, E. (2004). The dynamic clamp comes of age. Trends Neurosci. 27, 218-224. doi: 10.1016/j.tins.2004.02.004
44. Rémond, A. (1997). Du feedback au neurobiofeedback en neurophysiologie clinique. Neurophysiol. Clin. 27, 168. doi: 10.1016/S0987-7053(97)85724-3
45. Rockstroh, B., Elbert, T., Birbaumer, N., Wolf, P., Duchting-Roth, A., Reker, M., et al. (1993). Cortical self-regulation in patients with epilepsies. Epilepsy Res. 14, 63-72. doi: 10.1016/0920-1211(93)90075-I
46. Sanchez, J. C., Mahmoudi, B., Digiovanna, J., and Principe, J. C. (2009). Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants. Neural Netw. 22, 305-315. doi: 10.1016/j.neunet.2009.03.015
47. Schneider, F., Backes, V., and Mathiak, K. (2009). Brain imaging: on the way toward a therapeutic discipline. Eur. Arch. Psychiatry Clin. Neurosci. 259 (Suppl. 2), S143-S147. doi: 10.1007/s00406-009-0064-7
48. Silvanto, J., and Pascual-Leone, A. (2008). State-dependency of transcranial magnetic stimulation. Brain Topogr. 21, 1-10. doi: 10.1007/s10548-008-0067-0
49. Thut, G., and Pascual-Leone, A. (2010). Integrating TMS with EEG: how and what for. Brain Topogr. 22, 215-218. doi: 10.1007/s10548-009-0128-z
50. Tomas, D. (1995). Feedback and cybernetics: reimaging the body in the age of the cyborg. Body soc. 1, 21-43. doi: 10.1177/1357034X95001003002
51. Vedeniapin, A., Cheng, L., and George, M. S. (2010). Feasibility of simultaneous cognitive behavioral therapy and left prefrontal rTMS for treatment resistant depression. Brain Stimul. 3, 207-210. doi: 10.1016/j.brs.2010.03.005
52. Vidaurre, C., and Blankertz, B. (2010). Towards a cure for BCI illiteracy. Brain Topogr. 23, 194-198. doi: 10.1007/s10548-009-0121-6
53. Walter, A., Murguialday, A. R., Rosenstiel, W., Birbaumer, N., and Bogdan, M. (2012). Coupling BCI and cortical stimulation for brain-state-dependent stimulation: methods for spectral estimation in the presence of stimulation after-effects. Front. Neural Circuits 6:87. doi: 10.3389/fncir.2012.00087
54. Wang, W., Collinger, J. L., Perez, M. A., Tyler-Kabara, E. C., Cohen, L. G., Birbaumer, N., et al. (2010). Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity. Phys. Med. Rehabil. Clin. N. Am. 21, 157-178. doi: 10.1016/j.pmr.2009.07.003
55. Werry, I., Dautenhahn, K., Ogden, B., and Harwin, W. (2001). Can social interaction skills be taught by a social agent. The role of a robotic mediator in autism therapy. Cogn. Technol. Instrum. Mind 2117, 57-74. doi: 10.1007/3-540-44617-6_6
56. Yucha, C., and Montgomery, D. (2008). Evidence-based practice in biofeedback and neurofeedback. Wheat Ridge, CO: Association for Applied Psychophysiology and Biofeedback.