=Paper= {{Paper |id=Vol-3371/paper5 |storemode=property |title=Effects of virtual reality on theory of mind in children with ADHD |pdfUrl=https://ceur-ws.org/Vol-3371/paper5.pdf |volume=Vol-3371 |authors=Sonia Ciotola,Clara Esposito,Francesco Cerciello,Antonia Bosco |dblpUrl=https://dblp.org/rec/conf/inaut/CiotolaECB22 }} ==Effects of virtual reality on theory of mind in children with ADHD== https://ceur-ws.org/Vol-3371/paper5.pdf
Effects of virtual reality on theory of mind in children with
ADHD
Sonia Ciotola1, Clara Esposito1, Francesco Cerciello1, Antonia Bosco1
1
    Fondazione Italiana Neuroscienze e Disordini dello Sviluppo (FINDS), Caserta, Italy




                                  Abstract
                                  The DSM-5 defines ADHD as a chronic neurological behavioral disorder characterized by a
                                  persistent pattern of inattention and/or hyperactivity and impulsivity. Hyperactivity and
                                  inattention interfere with cognitive functioning and participation in various activities. Recent
                                  technological advances have demonstrated the utility and potential of virtual reality (VR) as an
                                  intervention hypothesis for neurodevelopmental disorders, in particular VR acts on the TOM
                                  and supports social and practical skills. Virtual reality represents "an artificial environment
                                  through which one experiences sensory stimuli (such as images and sounds) provided by an
                                  opposite viewer and in which it is possible to perform actions in the environment". VR also
                                  provides security and unlimited everyday contexts for practicing social scenarios. In this study
                                  we compare two types of intervention to enhance social skills: a traditional emotional training,
                                  performed individually with the therapist (group 1) and an emotional training obtained through
                                  the use of VR (group 2). Specifically, in this study we compared the two types of intervention,
                                  with the aim of identifying the intervention with the shortest acquisition times for the proposed
                                  social tasks. In particular, this work supports the hypothesis that the intervention based on the
                                  use of virtual reality allows a faster acquisition of social tasks.

                                  Keywords 1
                                  ADHD, theory of mind; virtual reality; VR; emotional training

1. Introduction
    Attention deficit hyperactivity disorder (ADHD) [1] is a chronic disorder with a neurological basis
characterized by a persistent pattern of inattention and/or inappropriate or disruptive hyperactivity and
impulsivity. The onset of hyperactivity occurs at age 3 or 4. The DSM-5 defined symptom onset as
before age 12 because it wanted to capture a cohort of pediatric patients who have symptoms of
inattentiveness and do not exhibit obvious functional impairment at baseline [2]. The treatment of
ADHD is based on a combination of cognitive-behavioral interventions and psychopharmacological
interventions that produce excellent response rates [3]. Hyperactivity and inattention through self-
control difficulties interfere with the child's psychological development and hinder the performance of
common daily activities. [4]. A major condition that afflicts children with ADHD is social interaction.
More specifically, some recent studies report that the main social difficulties experienced by children
with ADHD are aggression towards peers and authority figures (parents and teachers), disruptive
behavior (i.e., conduct disorder [CD], oppositional defiance disorder and substance use disorder
[SUD]), destruction of other people's property, interference in conversations, high frustration in gaming
scenarios, and frequent rule breaking [5]. This is mainly explained as a neurodevelopmental disorder of
the prefrontal lobe, affecting the development of executive functions during childhood. Executive
Functions (EF) are understood as a set of capabilities that regulate, control, and plan behavior and
capabilities cognitive skills, so that independent, proactive and productive activities can develop [6].
EFs include planning, working memory, inhibition, control, cognitive flexibility and self-change, [7]

Proceedings of the International Day of Persons with Disabilities. Inclusion, Autonomy, Technology, December 2–3, 2022, Rome, Italy
EMAIL: sonia.ciotola@fondazionefinds.it (A. 1); clara.esposito@fondazionefinds.it; Francesco.cerciello@fondazionefinds.it;
ant.bosco@hotmail.it (A. 4)
ORCID: 0000-0001-8341-2796 (A. 3);
                               © 2022 Copyright for this paper by its authors.
                               Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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and are crucial in everyday life. Theory of Mind (ToM) is the ability of an individual to ascribe
intentions, desires and beliefs both for others and for oneself [8]. ToM is a fundamental function for
social interactions as it allows knowledge about the minds of others and emotional states, thus allowing
the deduced subject to act accordingly [9]. ToM constructs are associated with social functioning, and
deficits in both can lead to difficulties interacting with others, as is the case for individuals with
Attention Deficit Hyperactivity Disorder (ADHD). EF and ToM are associated primarily through three
aspects: neuroanatomical proximity, developmental development, and the link that occurs between both
processes in some mental and neurodevelopmental disorders. Neuroanatomically speaking,
independent cortical networks are activated in FE and Tom. The EF network is composed primarily of
the prefrontal cortex, which is involved in planning, working memory, verbal fluency, complex problem
solving, cognitive flexibility, hypothesis generation, serialization, and sequencing; the orbitofrontal
cortex, involved in the processing and regulation of emotions and emotional states and in the control of
behavior; the medial frontal cortex, involved in inhibition, conflict detection and resolution, and in the
regulation of attention efforts, aggression and motivational states [10]. On the other hand, the ToM
network includes the medial prefrontal cortex, temporoparietal union, posterior cingulate and
precuneus, and orbitofrontal cortex participation, especially in affective attribution and wishful type
tasks. It is the temporoparietal union that is specifically activated when an individual is thinking mental
processes of others (that is, thinking about what others are thinking), exchanging information between
their own mental states and the mental states of others with the participation of the medial prefrontal
cortex. The prefrontal area of both the medial frontal cortex and the orbitofrontal cortex are common;
the former is involved in inhibitory control, while the latter is involved in processing information with
emotional content. The developmental perspective highlights that in preschool age, the development of
understanding of mental state occurs simultaneously with the improvement of executive functions [10].
Infants can discriminate animate from inanimate objects and generate joint attention (both processes
considered precursors of ToM). By age 2, working memory and inhibition systems improve, and
children can understand pretend play (i.e., pretend play); at 3 years, both systems continue to develop
and children begin to understand affective decisions; by age 4 to 5, with more developed and specialized
inhibition and working memory systems and as cognitive flexibility begins to mature, children can
perform first- and second-order false-belief tasks; by age 6 to 7, working memory, inhibition, cognitive
flexibility, and planning are better established; children's ToM is sophisticated to the extent that it
functions similarly to that of adults [11]. For example, inhibitory control, working memory, and
planning have been reported to correlate with ToM [12]; correlations between inhibitory control,
cognitive flexibility, and planning are conserved cross-culturally with these EFs involving ToM.
Furthermore, longitudinal studies have determined that inhibition, working memory, and alternating
attention processes correlate with ToM and predict its appearance [13]. Several studies suggest that
Virtual Reality is a technology that acts effectively on TOM deficits in children with ADHD. There are
several systematic reviews of the use of technologies, both for assessment and for intervention,
especially on virtual reality (VR) with children with ADHD [14]. VR was first applied in healthcare in
the 1990s [15]. The application of VR systems, especially in the field of childhood, consists of tasks
that consist in playing a game. Virtual reality is commonly regarded as a technology that induces virtual
immersion in a digital world through the use of computer graphics simulation that allows users to
immerse themselves in an interactive three-dimensional world filled with various sensory and emotional
experiences [16]. Immersion allows children with ADHD to improve vigilance tasks and sustained
attention, it also helps reduce the number of omissions and increase the number of adequate responses
to target stimuli. The most notable effect is on alertness, but several studies suggest a positive effect on
impulsivity [17], inhibitory control [18] and anxiety [19]. The growing number of research publications
on the role of virtual reality (VR) technologies in the field of special education indicates that VR
applications are gaining attention as promising intervention tools for children with neurodevelopmental
disorders, physical disabilities, and learning in ADHD [20]. Its implementation also allows to avoid
some elements that could hinder the child or adult with ADHD such as hyperactivity and inattention
[21]. In this regard, in this study we compare two types of intervention to improve social skills: a
traditional emotional training, performed individually with the therapist and an emotional training
obtained through the use of virtual reality. In both cases, the intervention proposed the accomplishment
of four social tasks, aimed at subjects with ADHD, namely: a) recognition of primary or basic emotions,
b) recognition of secondary emotions, c) emotions and situations linked to primary emotions, d)
emotions and situations for secondary emotions. Specifically, in this study the two types of intervention
were compared, with the aim of identifying the intervention with shorter acquisition times for the
proposed social tasks. In particular, this work supports the hypothesis that the intervention based on the
use of VR allows a more rapid acquisition of social tasks.


2. Materials and methods

2.1 Participants (Inclusion criteria)
In this study, 32 subjects diagnosed with ADHD were recruited and divided into two groups. All
subjects came from the same geographical area (city of Caserta) and had parents with a homogeneous
socio-cultural context. Family/environmental background was not considered as a factor influencing
education in both groups. All subjects undertook the Wechsler Intelligence Scale for Children (WISC
IV) [22] to exclude intellectually impaired subjects. The inclusion criteria were as follows: a) age
between 9 and 10 years, b) diagnosis of ADHD c) absence of nosographically defined comorbidities,
d) IQ ≥ 97. After confirmation of the diagnosis, and the possibility of inclusion in the sample, we divided
the subjects into two experimental groups of 9 subjects each. The subdivision was performed randomly:
the subjects included in both groups had the same inclusion criteria and did not present socio-cultural
differences. The two groups underwent two different types of treatment, as will be discussed in the next
paragraph. The first experimental group (Gr1) composed of 16 subjects (10 males and 6 females) with
a mean age of 9.5 years (age M = 9.5) and a mean IQ of 105.21. The second experimental group included
16 subjects (12 males and 4 females) with a mean age of 9.7 (M age = 9.7) and a mean IQ of 105.72.
Therefore, no significant differences in age or QIT were found in the two groups. The data were
collected at the FINDS Neuropsychiatry Clinic by certified psychologists, in collaboration with the
University of Naples Federico II, Department of Psychology and University of International Studies of
Rome (UNINT).

2.2 Instruments
In this study, the following tests were used to recruit participants: WISC-IV (Wechsler Intelligence
Scale for Children) [22], BIA (Battery Italian for ADHD) [23], La Conners Rating Scale - Revised, (
CRS-R) [24], K-SADS-5 [25].

WISC-IV: individual clinical trial, to evaluate the cognitive abilities of children aged between 6 and
16 years. The test allows you to calculate the intelligence quotient (IQ) to assess the child's overall
cognitive ability. Specifically, the IQ is obtained by combining four different scores, namely: Verbal
Comprehension Index (VCI), Visual Perceptual Reasoning Index (PRI), Working Memory Index
(WMI) and Processing Speed Index (PSI). .

BIA: (Battery Italian for ADHD) offers a range of useful tools for understanding the specific problems
presented by inattentive and hyperactive children and/or with difficulties in executive processes, control
of response, attention and memory. These tools can be used for the diagnosis and specification of
difficulties in children with ADHD/ADHD profile (Attention Deficit Hyperactivity Disorder) and have
been standardized on a total population of children greater than 10,000 units. The tests include
questionnaires for observing children's behavior at home and at school, tests for the assessment of visual
and auditory sustained attention, tests for the assessment of impulsive behavior and control processes,
and a test for the assessment of memory strategies: for each instrument a theoretical and practical
presentation and the reference normative data are provided.

La Conners Rating Scale - Revised (CRS-R):
is a long-used and widely used tool to evaluate children with ADHD. The CRS-R is composed of a
number of items ranging from 27 to 87, depending on the length of the version. There is a version of
the scale intended for parents, another for teachers (CTR-S), and a third for behavioral self-assessment
for adolescents, used directly by them to recognize problem behavior. The parent and teacher rating
scales can be administered to individuals aged 3 to 17, while the self-assessment measures are suitable
for adolescents aged 12 to 17. The parent and teacher scales include the following subscales:
Oppositional, Cognitive-Problems/Inattention, Hyperactivity, Anxiety, Shyness, Perfectionism, Social
Problems, Psychosomatic Disorders (Parents' version only), Conner's Global Index (includes Restless-
Impulsive and Responsibility emotional), ADHD index and DSM-IV symptoms (including inattentive,
hyperactive-impulsive). Parents and teachers must evaluate, on a 4-point Likert scale (0=never; 4=too
often), the frequency with which the behaviors described in each item are implemented. The Adolescent
Self-Rating Scale (CASS: L) includes the following subscales: Conduct, Cognitive, Family, Anger
Control, Emotional Problems and Hyperactivity, ADHD Index, and DSM-IV Symptoms.

K-SADS-5: diagnostic interview for the evaluation of psychopathological disorders (past and present)
in children and adolescents, according to DSM-5 criteria. In particular, the interview allows to identify
the presence of mood disorders, psychotic disorders, anxiety disorders, attention deficit disorders and
disruptive behavior, substance abuse..

2.3 Procedures

All subjects were evaluated by WISC-IV for the assessment of intellectual functioning (inclusion
criterion IQ ≥ 95). For the diagnostic evaluation of hyperactivity and inattention disorder (ADHD), we
used BIA, CRS-R and K-SADS-5. Eighteen subjects were randomly selected and divided into two
groups that received two different interventions. The two intervention modalities used in this study were
as follows:

Individual intervention with the therapist – IIT: emotional training that requires children and adults
using 76 photos in sequence. The first 38 sequences were created by recruiting specially trained actors.
The subject with ADHD was shown photographs, specifically 14 photographs for the recognition of 7
primary emotions (2 for each primary emotion, one for children and one for adults) and 24 photographs
for the recognition of 12 secondary emotions (2 for each emotion, one for children and one for adults).
For each sequence, the child was asked to recognize the emotion represented in each photo by
alternating the adult actors with the child actors. Subsequently, a sequence of 38 photos was
administered to subjects with ADHD to whom the description of the scenario in the photo was first
introduced, followed by the image depicting the emotion corresponding to the situation (14 photos were
associated with primary emotions and 24 photos have been associated with secondary emotions).

Virtual Reality Intervention - VRI: in this type of intervention a 3D viewer was recruited for
emotional training and for the projection of two sequences of scenes. The actors initially recruited for
the sequence of photos of the Gr1 intervention were also employed to film the sequence of scenes with
the protagonist. The first sequence comprised 38 scenes, i.e. 14 scenes associated with 7 primary
emotions and 24 scenes associated with 12 secondary emotions. The second sequence involved the
screening of 38 scenes with 14 scenes related to primary situations and emotions and 24 scenes for
secondary situations and emotions. As previously reported, the scenes were projected with the same
scenarios used for the IIT intervention photos. In both groups, therefore, the same emotional training
was carried out in different ways: in group 1 (Gr1) the training was carried out individually by a
therapist and provided for exposure to cartoon images; in group 2 (Gr2) film scenes were projected
through a 3D viewer relating to the same emotions and situations presented in the hard cover. To
evaluate the acquisition of the skills foreseen by the 4 sequences (recognition of primary emotions,
recognition of secondary emotions, primary emotions and situations, secondary emotions and
situations) a weekly test was performed with 38 items (7 for the recognition of primary emotions, 12
for secondary emotions, 7 for primary emotions and situations, 12 for secondary emotions and
situations), using images that varied from week to week were used as a criterion for acquiring 100%
exact answers. At T0 (pre-training phase), no subject had already achieved the acquisition criterion for
the 4 trials. A score of zero on all four tasks was the starting condition required for subjects in the two
groups.


3. Results
Data analysis was performed using the SPSS 26.0 statistical survey software [26]. Significance was
accepted at the 5% level (p < 0.05). The comparison of the means of the measurements was carried out
using an analysis of variance test (ANOVA), a parametric test that allows you to compare two or more
measurements; the relationship between these variances follows the Fisher F distribution, which allows
for testing hypotheses about the significance of the difference between treatment-related and residual
variability. In this study we performed an ANOVA to compare the scores that emerged from the
measurement of the acquisition times for the 4 proposed tasks. We described the tasks as follows: PE
(primary emotions) task 1, SE (secondary emotions) task 2, PE/S (primary emotion/ situations) task 3
and SE/S (emotions/secondary situations) task 4. Both groups at T0 (before the emotional training) did
not reach the acquisition criterion in any of the four proposed tasks. Following the literacy intervention
(T1), on the other hand, significant differences emerged with respect to the acquisition of times for the
four tests proposed between Gr1 and Gr2. In particular, in task 1 no significant differences emerged
regarding the acquisition of recognition of primary emotions. This demonstrates that the acquisition
times of the two groups regarding primary emotion recognition were similar; both interventions allow
rapid acquisition of knowledge of primary emotions. At task 2, significant differences emerged in group
2; this demonstrates that with the use of VRI the recognition of secondary emotions occurs in less time
than with IIT. Furthermore, in task 3 significant differences emerged in group 2. This demonstrates that
exposure to situations that allow knowledge of primary emotions using VRI guarantees shorter
acquisition times, thanks to the direct experience of the subject. Finally, also in task 4 significant
differences emerged in group 2. The results show that the training of secondary emotions VRI
guarantees shorter acquisition times as it allowed to experience situations directly which instead only
the IIT allowed to comment through the use of photographs (tables 1 and 2 and figures 1, 2, 3, 4).

Table 1
Comparisons between the two groups at T0

                             GROUP                                    GROUP
                                1                                        2
                               T0                                       T0
                               M                    SD                  M                       SD

          PE                  4.00                    0                    4.00                  0
          SE                  6.00                  1.41                   5.50                0.70
         PE/                  3.50                  0.70                   3.00                  0
           S
         SE/S                 5.00                   0                     4.00                 0

 Table 2
 Comparisons between the two groups at T1

                    GROUP                          GROUP
                      1                               2
                      T1                             T1
                      M                SD            M                SD             f                p

       PE             7.00              0             7.00             0
       SE             12.25           3.13           8.75        3.13   10.000   .000*
      PE/             19.25           3.13           15.75       3.13   10.000   .000*
        S
      SE/S            30.19           3.35           21.88       2.39   65.241   .000*




Figure 1: Comparison between the two groups at the PE tasks.




Figure 2: Comparison between the two groups at the SE tasks.




Figure 3: Comparison between the two groups at the PE/S tasks.
Figure 4: Comparison between the two groups at the SE/S tasks.



4. Discussion
Virtual reality is an "embedded technology" that provides the sensation of immersion in a virtual
environment, thanks to a computer graphics simulation that allows users to immerse themselves in an
interactive interactive world where different types of sensory and emotional experiences are
encountered. For this reason, VR helps improve movements, actions and emotions adapted to the
context. VR has been considered an advanced technology useful for the diagnosis of
neurodevelopmental disorders and for treatments, especially with ADHD by several authors [27].
Virtual reality (VR) includes all emerging technologies, they are contributing to the expansion of new
solutions to various problems. The development of virtual reality has allowed the use of new training
and intervention tools that are much more effective and promising than traditional tools. VR
environments offer the possibility to simulate real situations; it is possible to create environments that
are difficult to live in everyday life [28]. The use of virtual reality has shown positive results in recent
years in the context of neurodevelopmental disorders, particularly in ADHD. Some authors have studied
the relationship between the use of virtual content and the increase in interest, motivation as well as the
increase in sustained attention without distractions [29]. In fact, other studies have shown that children
with ADHD thanks to VR are better able to complete attention tasks than traditional techniques.
Because participants with ADHD make many mistakes and excessive body movements in their tasks,
other studies have shown that VR plays an important role in improving these conditions and reducing
symptoms and behavior problems [30]. Virtual reality also acts on the TOM, it also has the ability to
clarify some of the cognitive processes, including attention, memory and executive function [31].
Theory of Mind (ToM) is the ability to attribute mental states to others to make sense of their behavior.
ToM research has informed understanding of the atypical social behavior present in people with ADHD,
and there is growing awareness of the limitations of 'classic' ToM tasks. With the recently developed
tasks, however, VR was used to try to measure ToM by examining the accuracy of mental status
attribution after watching video clips of social situations via open-ended or multiple-choice questions
[32]. Video-based activities require more than simple inference from images or cartoons and instead
require the inference of more socially relevant cues. This is designed to reflect inference of mental state
in "real" social situations. Recent research demonstrates that new RT- and video-based tasks can
successfully measure atypical ToM [33]. Felton e Jackson, underline that emotions are an essential
element, it is fundamental to experience and integrate into the world and their study states that virtual
reality is a valid tool to improve the recognition of emotions [34]. In summary, although there were a
limited number of studies, the results suggest that VR-based interventions help improve the cognitive
performance of children and adolescents with ADHD on vigilance and sustained attention tasks and in
emotion recognition, by reducing the number of omissions and increasing the number of correct
responses to target stimuli with a large effect size. This also suggests a marked effect on alertness and
improvement of impulsivity or inhibitory control with VR. These findings are interesting because they
suggest that VR-based interventions could improve inattention symptoms and thus be highly beneficial
in children with ADHD of the inattention subtype. On the other hand, the results of the Bioulac study
[35] showed that children who received VR-based interventions can better inhibit distractors.
Furthermore, they also showed less impulsivity (with fewer omissions). At present, the application of
virtual reality technology to clinical practice is still in its infancy. The content and indexes of the VR
test still need to be expanded and improved. Health guidelines list possible side effects of virtual reality
ranging from headaches, seizures, nausea, fatigue, drowsiness, disorientation, listlessness and dizziness.
These symptoms are related to virtual reality diseases, which can endanger your health and life safety,
as well as the effectiveness of virtual reality. Cybersickness can become a barrier to the use of training
or rehabilitation tools in virtual reality environments. Thus, cyber disease can be prevented or managed
by tailoring and customizing to the user's needs a number of device changes such as making the head-
mounted display (HMD) lighter and ensuring moderate use of a VR system [35].

5. Conclusion
The results suggest that virtual reality technology, thanks to stable and controlled stimuli, can be very
useful in interventions for children with ADHD because it helps to obtain constant progress, adapting
to the needs of patients. We can therefore highlight how the use of VR can improve the management of
inattention and hyperactivity, influence TOM and improve social skills and practical skills.
Furthermore, VR provides safe learning environments that minimize errors, time and costs and is easy
to use. However, the evidence for the effectiveness of VR-based treatment in our study is limited. The
small sample size and the absence of a follow-up on the maintenance of acquired skills limit the
generalization of the study. Our study provides preliminary evidence for the feasibility and use of VRI
in preadolescent subjects with ASD even in the preliminary stages of emotional training. The purpose
of the subsequent works will be to expand the sample, evaluate retention, establish if there are
differences between the emotional training skills acquired in VRI compared to IIT, if any differences
will also represent different starting points for the acquisition of further skills in social formation.
Indeed, a more robust generalization of basic emotional literacy skills could favor a more stable and
rapid acquisition in terms of acquisition and generalization of further social cognition skills.


6. References

[1] Dulce Romero-Ayuso;Abel Toledano-González;María del Carmen Rodríguez-Martínez;Palma
    Arroyo-Castillo;José Matías Triviño-Juárez;Pascual González;Patrocinio Ariza-Vega;Antonio Del
    Pino González;Antonio Segura-Fragoso; (2021). Effectiveness of Virtual Reality-Based
    Interventions for Children and Adolescents with ADHD: A System-atic Review and Meta-
    Analysis. Children.
[2] American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed.
    Arlington, VA: American Psychiatric Association; 2013.
[3] American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-
    IV-TR, 4ª ed., 2000.
[4] Tsujii N, Usami M, Naya N, Tsuji T, Mishima H, Horie J, Fujiwara M, Iida J. Efficacy and Safety
    of Medication for Attention-Deficit Hyperactivity Disorder in Children and Adoles-cents with
    Common Comorbidities: A Systematic Review. Neurol Ther. 2021
[5] Gardner, D. M., & Gerdes, A. C. (2015). A review of peer relationships and friendships in youth
    with ADHD. Journal of Attention Disorders, 19,844–855
[6] Calle, D. (2017). Filogenia y desarrollo de funciones ejecutivas. Psicogente,20, 368–381.
[7] Zelazo, P. D., & Müller, U. (2011). Executive function in typical and atypical development. In U.
    Goswami (Ed.), The Wiley-Blackwell handbook of childhood cognitive development (2nd ed., pp.
    574–603). Malden: Wiley-Blackwell.
[8] Wellman, H. M., Cross, D., & Watson, J. (2001). Meta-analysis of theory-ofmind development:
     The truth about false belief. Child Development,72, 655–684.
[9] Pineda-Alhucema, W. (2017). Sobre la valoración de la Teoría de la Mente.Psicogente, 20, 12.
[10] Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A.,Fukushima, A., & Kawashima, R.
     (2013). Brain structures associated with executive functions during everyday events in a non-
     clinicalsimple. Brain Structure and Function, 2018(4), 1017–1032.
[11] De Luca, C., & Leventer, R. (2008). Developmental trajectories of executive functions across the
     lifespan. In V. Anderson, R. Jacobs, & P. Anderson (Eds.), Executive function~ and the frontal
     lobes: A lifespan perspective (pp. 23–56). New York: Taylor & Francis Group, LLC.
[12] Carlson, S., Moses, L., & Claxton, L. (2004a). Individual differences inexecutive functioning and
     theory of mind: An investigation of inhibitory control and planning ability. Journal of
     Experimental Child. Psychology, 87, 299–319.
[13] Austin, G., Groppe, K., & Elsner, B. (2014). The reciprocal relationship between executive
     function and theory of mind in middle childhood: A 1-year longitudinal perspective. Frontiers in
     Psychology, 5, 1–11.
[14] Alqithami, S.; Alzahrani, M.; Alzahrani, A.; Mustafa, A. AR-Therapist: Design and Simulation of
     an AR-Game Environment as a CBT for Patients with ADHD. Healthcare 2019, 7, 146.
[15] Alexopoulou, A.; Batsou, A.; Drigas, A. Resilience and Academic Underachievement in Gifted
     Students: Causes, Consequences and Strategic Methods of Prevention and Intervention. Int. J.
     Online Biomed. Eng. 2019, 15, 78.
[16] Villena-Taranilla, R.; Tirado-Olivares, S.; Cózar-Gutiérrez, R.; González-Calero, J.A. Effects of
     virtual reality on learning outcomes in K-6 education: A meta-analysis. Educ. Res. Rev. 2022, 35,
     100434.
[17] Huang, H.M.; Rauch, U.; Liaw, S.S. Investigating learners’ attitudes toward virtual reality learning
     environments: Based on a constructivist approach. Comput. Educ. 2010, 55, 1171–11.
[18] Daniela, L.; Aierken, Y. The educational perspective on Virtual Reality experiences of cultural
     heritage. In New Perspectives on Virtual and Augmented Reality: Finding New Ways to Teach in
     a Transformed Learning Environment; Daniela, L., Ed.; Taylor & Francis: Abingdon, UK, 2020.
[19] Cieślik, B.; Mazurek, J.; Rutkowski, S.; Kiper, P.; Turolla, A.; Szczepańska-Gieracha, J. Virtual
     reality in psychiatric disorders: A systematic review of reviews. Complementary Ther. Med. 2020,
     52, 10248.
[20] Drigas, A.; Mitsea, E.; Skianis, C. Clinical Hypnosis & VR, Subconscious Restructuring-Brain
     Rewiring & the Entanglement with the 8 Pillars of Metacognition X 8 Layers of Consciousness X
     8 Intelligences. Int. J. Online Biomed. Eng. 2022, 18, 78–95.
[21] Rafael Villena-Taranilla, Sergio Tirado-Olivares, Ramón Cózar-Gutiérrez, José Antonio
     González-Calero, Effects of virtual reality on learning outcomes in K-6 education: A meta-
     analysis, Educational Research Review. Volume 34, 12.5. 2022. 100434.
[22] Orsini, A., L. Pezzuti, and L. Picone. "WISC-IV: Contributo alla Taratura Italiana. [WISC-IV
     Italian Edition]." Florence, Italy: Giunti OS (2012).
[23] Marzocchi, G. M., Re, A. M., & Cornoldi, C. (2010). BIA. Batteria italiana per l'ADHID per la
     valutazione dei bambini con deficit di attenzione-iperattività. Con DVD e CD-ROM. Edizioni
     Erickson.
[24] Conners, C. K. (1997). Conners' Parent Rating Scale--Revised (s). North Tonawanda, NY: Multi-
     Health Systems. 24
[25] Kaufman, J. et al. (2016) K-SADS-PL DMS-5. Yale: Yale University. Trad. it. K-SADS-PL DMS-
     5. Trento: Edizioni Centro Studi Erikson, 2018.
[26] IBM (2019) to Acquire SPSS Inc. to Provide Clients Predictive Analytics Capabilities, in ibm.com,
     28 luglio 2009.
[27] Cochrane. Cochrane Handbook for Systematic Reviews of Interventions. Available online:
     https://handbook-5-1.cochrane.org/ 2020 (accessed on 8 December 2020)
[28] Willcutt EG, Pennington BF, Boada R, et al. A comparison of the cognitive deficits in read-ing
     disability and attentiondeficit/hyperactivity disorder. J Abnorm Psychol 2001.
[29] Yeh SC, Tsai CF, Fan YC, et al. An innovative ADHD assessment system using virtual reality.
     2012; pp: 78–83.
[30] Gongsook P, Herrlich M, Malaka R, et al. Time simulator in virtual reality for children with
     attention deficit hyperactivity disorder. ICEC 2012; pp: 490-493.
[31] Rose FD, Brooks BM, Rizzo AA. Virtual reality in brain damage rehabilitation: review.
     Cyberpsychol Behav. 2005;8:241–262.
[32] Murray, K., Johnston, K., Cunnane, H., Kerr, C., Spain, D., Gillan, N., … Happé, F. (2017). A new
     test of advanced theory of mind: The “Strange Stories Film Task” captures social processing
     differences in adults with autism spectrum disorders. Autism Research, 10(6), 1120–1132.
[33] Livingston, L.A., Carr, B. & Shah, P. Recent Advances and New Directions in Measuring Theory
     of Mind in Autistic Adults. J Autism Dev Disord 49, 1738–1744 (2019).
[34] Felton, W. M., & Jackson, R. E. (2022). Presence: A review. International Journal of Human–
     Computer Interaction, 38(1), 1-18.
[35] Bioulac, S.; Micoulaud-Franchi, J.-A.; Maire, J.; Bouvard, M.P.; Rizzo, A.A.; Sagaspe, P.; Philip,
     P. Virtual Remediation Versus Methylphenidate to Improve Distractibility in Children With
     ADHD: A Controlled Randomized Clinical Trial Study. J. Atten. Disord. 2020, 24, 326–335