An Effective Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder

Friedrich, Elisabeth V. C.; Sivanathan, Aparajithan; Lim, Theodore; Suttie, Neil; Louchart, Sandy; Pillen, Steven; Pineda, Jaime A.

doi:10.1007/s10803-015-2523-5

Cited by 77 publications

(57 citation statements)

References 60 publications

(76 reference statements)

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“…Moreover, different age groups ranging from infants [132,143,169], children [6,43,75,84,89,103,125,126,[128][129][130]140,183,184,[210][211][212][213], adolescents [59,65,70,135,139], and elderly [105,214] in different experiments were considered as study samples. Some studies were conducted on a single gender, such as those investigating women's emotions during motherhood and parental status [133,134,164] and a study of men [215].…”

Section: Mahnobmentioning

confidence: 99%

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Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

et al. 2017

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Abstract:Recent developments and studies in brain-computer interface (BCI) technologies have facilitated emotion detection and classification. Many BCI studies have sought to investigate, detect, and recognize participants' emotional affective states. The applied domains for these studies are varied, and include such fields as communication, education, entertainment, and medicine. To understand trends in electroencephalography (EEG)-based emotion recognition system research and to provide practitioners and researchers with insights into and future directions for emotion recognition systems, this study set out to review published articles on emotion detection, recognition, and classification. The study also reviews current and future trends and discusses how these trends may impact researchers and practitioners alike. We reviewed 285 articles, of which 160 were refereed journal articles that were published since the inception of affective computing research. The articles were classified based on a scheme consisting of two categories: research orientation and domains/applications. Our results show considerable growth of EEG-based emotion detection journal publications. This growth reflects an increased research interest in EEG-based emotion detection as a salient and legitimate research area. Such factors as the proliferation of wireless EEG devices, advances in computational intelligence techniques, and machine learning spurred this growth.

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Section: Mahnobmentioning

confidence: 99%

“…Other medical cases include autism [6,21,75,140,212,213], bipolar disorder [124,145], epilepsy [230,234,235], attention-deficit/hyperactivity disorder [103,165], bulimia nervosa [33,168], borderline personality disorder [167], pervasive developmental disorder [81], and eye movement desensitization and reprocessing [125].…”

Section: Othermentioning

confidence: 99%

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

et al. 2017

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“…A recent study in ASD adolescents found that combined poor performance on several social cognition tasks (ToM tasks, emotion-recognition tasks, and anthropomorphic animations) was collectively associated with elevated SRS score (64). Some ASD studies have further found that parent/caregiver report of real-world social behaviors are better measures of treatmentrelated changes in social outcomes than are social cognition tasks, which suggests that these tasks may be measuring more nuanced social cognition skills such as ToM or attribution of intentions compared to every-day reciprocal social behaviors assessed by the SRS (65,66). Hence, it is possible that the types of social concerns endorsed on the SRS (e.g., eye contact, odd behaviors, preference for being alone, ritualistic behaviors) may not relate as closely as we originally hypothesized to the TASIT's measurement of nuanced social cognition skills such as lie and sarcasm detection.…”

Section: Discussionmentioning

confidence: 99%

Social Cognition in 22q11.2 Deletion Syndrome and Idiopathic Developmental Neuropsychiatric Disorders

Jalal

Nair

Lin

et al. 2020

Preprint

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KEYWORDS 2 22q11.2 deletion, social cognition, neurocognition, psychosis, autism spectrum disorder 3 Abstract Background 22q11.2 deletion syndrome (22q11DS) is a common recurrent neurogenetic condition associated with elevated risk for developmental neuropsychiatric disorders and intellectual disability. Children and adults with 22q11DS often exhibit marked social impairment as well as neurocognitive deficits, and have elevated rates of both autism spectrum disorder (ASD) and psychosis. However, the relationship between the basic processes of social cognition and cognitive ability has not been well studied in 22q11DS. Here, we examined differences in social cognition in 22q11DS, relative to multiple groups of idiopathic neuropsychiatric disorders, and typically developing healthy controls (HC). Additionally, we examined differences in intellectual functioning and its relationship to social cognitive abilities.Finally, we examined the relationship between social cognitive abilities and real-world social behavior. MethodsWe examined social cognition and intellectual functioning in 306 participants (mean age = 16.63+/-4.59; % female = 44.8%): sixty-eight with 22q11DS, 49 youth with first episode psychosis (FEP), 48 at clinical high-risk (CHR) for psychosis, 24 participants with ASD, and 117 HC. Social cognition was assessed using The Awareness of Social Inference Test (TASIT), while reciprocal social behavior was assessed via parent/caregiver ratings on the Social Responsiveness Scale (SRS).Participants were also administered the Wechsler Abbreviated Scale of Intelligence, 2 nd edition (WASI-II) to assess intellectual functioning. ResultsThe 22q11DS group exhibited significantly lower social cognitive abilities compared to all other groups, even after controlling for intellectual functioning. Significant positive correlations were found between social cognition, as measured by the TASIT, and IQ across groups. In contrast, no significant relationships were found between TASIT and real-world social behavior (SRS) for any group. ConclusionsOur findings indicate social cognitive deficits are more prominent in 22q11DS than idiopathic neuropsychiatric conditions across the age range, even after adjusting for global intellectual function. the most common recurrent contiguous gene deletion syndrome, estimated to occur in about 1 in 4000 live births (2). It typically results from a de novo deletion, although 10% of cases are familial (3,4). 22q11DS is associated with a range of developmental anomalies (5). The most frequently associated medical comorbidities include congenital heart defects, facial dysmorphology such as palatal defects, immunodeficiency, velopharyngeal insufficiency, and hypocalcemia (2, 6).Individuals with 22q11DS often present with developmental delays, as well as broad cognitive impairment (6). In most individuals with 22q11DS, Full Scale IQ falls within the borderline to low average range (M = 72.41, SD = ± 13.72; 7). A range of associated cognitive deficits have also been noted in individuals with 22q11...

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“…In addition, to mock an emotionally-realistic NPC, the characteristics of each NPC were compiled using the model of cognitive appraisal theory [49], which considers the variability of social events, actions, and objects in an environment. Another study [50] also suggests a role for NPCs as social companions, which takes into consideration emotional responsiveness, as well as imitation of facial mimicry. NPCs also facilitated autistic children's facial mimicry based on several types of emotions.…”

Section: Emotional Modeling Of Non-player Charactersmentioning

confidence: 99%

Reviews of Social Embodiment for Design of Non-Player Characters in Virtual Reality-Based Social Skill Training for Autistic Children

Moon

2018

MTI

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Abstract:The purpose of this paper is to review the scholarly works regarding social embodiment aligned with the design of non-player characters in virtual reality (VR)-based social skill training for autistic children. VR-based social skill training for autistic children has been a naturalistic environment, which allows autistic children themselves to shape socially-appropriate behaviors in real world. To build up the training environment for autistic children, it is necessary to identify how to simulate social components in the training. In particular, designing non-player characters (NPCs) in the training is essential to determining the quality of the simulated social interactions during the training. Through this literature review, this study proposes multiple design themes that underline the nature of social embodiment in which interactions with NPCs in VR-based social skill training take place.

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An Effective Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder

Cited by 77 publications

References 60 publications

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

Social Cognition in 22q11.2 Deletion Syndrome and Idiopathic Developmental Neuropsychiatric Disorders

Reviews of Social Embodiment for Design of Non-Player Characters in Virtual Reality-Based Social Skill Training for Autistic Children

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