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[Autism spectrum disorder biomarkers based on biosignals, virtual reality and artificial intelligence]. | LitMetric

AI Article Synopsis

  • - The current methods for categorizing Autism Spectrum Disorders (ASD) are ineffective in personalizing early treatments, indicating a need for a more nuanced understanding of ASD as a continuum of deficits and the identification of specific biological markers.
  • - Computational psychiatry is emerging as a solution for precision diagnosis of ASD by employing advanced computational techniques to analyze data and potentially improve classifications through biosignals.
  • - The paper introduces the concept of behavioral biomarkers based on virtual reality (VR), proposing that VR can be used to measure implicit brain processes and monitor behavioral responses in individuals with ASD through complex social simulations.

Article Abstract

It has been observed that the stratification of Autism Spectrum Disorders (ASD) generated by the current scales is not effective for the personalization of early treatments. The clinical evaluation of ASD requires its consideration as a continuum of deficits, and there is a need to identify biologically significant parameters (biomarkers) that have the power to automatically characterize each individual at different stages of neurological development. The emerging field of computational psychiatry (CP) attempts to meet the needs of precision diagnosis by developing powerful computational and mathematical techniques. A growing scientific activity proposes the use of implicit measures based on biosignals for the classification of ASD. Virtual reality (VR) technologies have demonstrated potential for ASD interventions, but most of the work has used virtual reality for the learning / objective of interventions. Very few studies have used biological signals for recording and detailed analysis of behavioral responses that can be used to monitor or produce changes over time. In this paper the concept of behavioral biomarkers based on VR or VRBB is introduced. VRBB will allow the classification of ASD using a paradigm of computational psychiatry based on implicit brain processes measured through psychophysiological signals and the behavior of subjects exposed to complex replicas of social conditions using virtual reality interfaces.

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