Mahdiyeh Sarraf-Razavi1, Seyyed Mohammad Tabatabaei1,2,3*, Ali Talaei4, Mohammad Reza Fayyazi Bordbar4
1Division of Neurocognitive Sciences, Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
2Medical Informatics Department, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
3Clinical Research Unit, Mashhad University of Medical Sciences, Mashhad, Iran
4Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
*Corresponding author: Seyyed Mohammad Tabatabaei, Ibn-e-Sina Street, Imam Reza Hospital, Department of Central Library, Clinical Research Unit, Mashhad, Iran
Submission: August 05, 2019; Published: November 08, 2019
ISSN: 2576-8816Volume8 Issue2
Psychiatric disorders are characterized by behavioral and cognitive deficits. It is crucial to develop intervention strategies helping individuals with psychiatric disorders, their caregivers and educators in daily life. To this purpose, eXtended Reality (XR), i.e. a simulation of the real world based on computer graphics, can be useful as it allows instructors and therapists to offer a safe, repeatable and diversifiable environment during learning. This mini review examines studies that have investigated the use of XR in psychiatric disorders. Virtual reality is a promising intervention with several potential applications about behavioral and cognitive rehabilitation treatment in psychiatric disorders.
Keywords: Psychiatric disorders; Virtual reality; Cognitive rehabilitation
Technology has been developing rapidly, especially in the area of Information and Communication. The development encompasses all sciences including heath and it introduces a new field called “electronic health”. Electronic health, as a modern development, can promote social health, resulting in greater work efficiency, better quality of services and the return of investments [1]. One of the most recent technologies in the area of Electronic Health is the combination of real world with digital world. There are different kinds of combination including augmented reality (AR), virtual reality (VR), and mixed reality (MR) [2]. Actually, MR is the mixture of both the real and virtual, where the virtual augments the real or so on the contrary [3]. While AR combines virtual and real objects simultaneously, VR make the users able to control and navigate their movements in a stimulated real or unreal world [4,5]. As these technologies improved, it seemed they should be integrated and described as parts of a single concept. So, a new term, Extended Reality (XR), was born. XR is defined as the combination of all real and virtual environments with human machine interactions generated by computer technology using wearable devices [6]. Actually, it creates the illusion to make us feel as we are in a completely novel and different digital world [7]. Nowadays, many researchers and consumers have access to XR hardware and software. This technology has been caused major changes in research and practice in the field of psychology, makes us capable of deeply understanding human behavior and to be able to roll out training or therapies to everyone [8]. XR-based interventions on patients with mental or physical dysfunctions has been studying since the late 90 s. the results of these studies show that this technology improves the quality of physical and mental health care while reducing its cost, so it should be considered as a viable and valuable option to for the treatment of mental or even physical conditions which may lead to disability [9]. So, we highlight studies evaluating the utility and efficacy of XR based treatments for psychiatric disorders.
We reviewed XR based studies in the area of psychiatric disorders published over the last 9 years. We used PsycINFO, PubMed, and Medline electronic databases to identify studies from 2010 to 2019, based on the following keywords: psychiatric disorders, extended reality, augmented reality, virtual reality, mixed reality, cognitive rehabilitation and therapy.
According to the most of studies, XR usage can be categorized into 5 area based on the disorders. These 5 categories are: schizophrenia, autism spectrum disorders, attention deficit hyperactivity disorders, mood disorders and anxiety disorders which will be discussed in the following:
Schizophrenia
There were above 20 studies about using XR for schizophrenia and related problems, concerning assessment, assessing paranoia, treatment [10], improving social dysfunction. negative symptoms, psychopathology, social anxiety and discomfort, avoidance and social functioning, improve social cognition and performance of patients as well as generalization of the learned responses into patient’s daily life [11], improve cognitive functioning in people with schizophrenia in WCST, WAIS-III sub-tests, Strop Test, and The Subjective Scale to Investigate Cognition in Schizophrenia, delusions, hallucinations, neurocognition issue, social cognition, and social skills [11-13].
Autism spectrum disorders (ASD)
Studies demonstrated feasibility and potential efficacy of XR for novice ASD drivers' driving-specific executive function (EF) abilities [14,15], Eye gaze [16], social interaction, communication, and repetitive or stereotypic behavior [17].
Attention deficit hyperactivity disorder (ADHD)
Reliability of attention assessment can be enhanced using XR through better control of the perceptual environment, more consistent stimulus presentation, and by more precise and accurate scoring. Virtual environments (VE) may also lead to validity improvement via the quantification of more discrete behavioral responses, allowing for the identification of more specific cognitive domains. XR could be useful to help testing the attention in situations that are more ecologically valid [18]. Recent studies indicate that the blue-yellow color discrimination is impaired in ADHD individuals. The XR proved to be a user-friendly tool capable to detect and quantify the influence of color on the performance of people executing tasks that require attention and showed to be attractive for people with ADHD [19]. ADHD children are vulnerable to a time on task effect on performances which could explain part of their difficulties. XR-based methods are reliable to test ADHD children ability to sustain performances over time [20].
Mood disorder
There have also been two studies of (non-immersive) VR-type tasks assessing spatial navigation memory in patients with depression. [10,21]. In an eight days training program, patients exercised the learning and purchasing of shopping list products in a virtual supermarket using either the novel training device or a corresponding desktop application. In a pre-post-design, effects of the two training conditions were compared regarding several outcome measures. Altogether, results did not prove a benefit of the more naturalistic training setting regarding different training performances (recognition, performance speed, and spatial orientation), self-perceived daily cognitive impairments, a real-life shopping task as well as various neuropsychological capabilities [22]. Present evidence suggests that the use of virtual reality has great advantages in evaluating visuospatial navigation and memory for the diagnosis of psychiatric or other neurological disorders concluded that allocentric and egocentric navigation deficits are detectable in patients with schizophrenia and bipolar disorder using VR [23].
Anxiety disorders
The focus of the treatment studies has typically been on specific phobias or social anxiety or post-traumatic stress disorder, with many fewer investigations for obsessive-compulsive disorder (OCD), which is surprising given that treatment often requires change in fears about external stimuli, and generalized anxiety [10].
Our point of view is consistent with other authors, who believe in the added value of XR-based technologies including VR, MR and AR in treatment of psychiatric disorders and cognitive rehabilitation, compared to the traditional approaches. In the other words, XR make us able to try things that are not easily possible to try in the real world.
© 2019 Seyyed Mohammad Tabatabaei. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.