Title |
Human-Avatar Symbiosis for the Treatment of Auditory Verbal Hallucinations in Schizophrenia through Virtual/Augmented Reality and Brain-Computer Interfaces
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Published in |
Frontiers in Neuroinformatics, November 2017
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DOI | 10.3389/fninf.2017.00064 |
Pubmed ID | |
Authors |
Antonio Fernández-Caballero, Elena Navarro, Patricia Fernández-Sotos, Pascual González, Jorge J. Ricarte, José M. Latorre, Roberto Rodriguez-Jimenez |
Abstract |
This perspective paper faces the future of alternative treatments that take advantage of a social and cognitive approach with regards to pharmacological therapy of auditory verbal hallucinations (AVH) in patients with schizophrenia. AVH are the perception of voices in the absence of auditory stimulation and represents a severe mental health symptom. Virtual/augmented reality (VR/AR) and brain computer interfaces (BCI) are technologies that are growing more and more in different medical and psychological applications. Our position is that their combined use in computer-based therapies offers still unforeseen possibilities for the treatment of physical and mental disabilities. This is why, the paper expects that researchers and clinicians undergo a pathway toward human-avatar symbiosis for AVH by taking full advantage of new technologies. This outlook supposes to address challenging issues in the understanding of non-pharmacological treatment of schizophrenia-related disorders and the exploitation of VR/AR and BCI to achieve a real human-avatar symbiosis. |
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Geographical breakdown
Country | Count | As % |
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Australia | 2 | 17% |
United States | 2 | 17% |
Colombia | 1 | 8% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 75% |
Scientists | 2 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 141 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 17 | 12% |
Student > Doctoral Student | 12 | 9% |
Student > Ph. D. Student | 9 | 6% |
Student > Bachelor | 8 | 6% |
Researcher | 7 | 5% |
Other | 21 | 15% |
Unknown | 67 | 48% |
Readers by discipline | Count | As % |
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Psychology | 15 | 11% |
Medicine and Dentistry | 13 | 9% |
Computer Science | 10 | 7% |
Neuroscience | 10 | 7% |
Nursing and Health Professions | 5 | 4% |
Other | 18 | 13% |
Unknown | 70 | 50% |