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A Feasibility Clinical Trial to Improve Social Attention in Autistic Spectrum Disorder (ASD) Using a Brain Computer Interface

机译:使用大脑计算机界面提高自闭症谱系障碍(ASD)的社会关注度的可行性临床试验

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Deficits in the interpretation of others' intentions from gaze-direction or other social attention cues are well-recognized in ASD. Here we investigated whether an EEG brain computer interface (BCI) can be used to train social cognition skills in ASD patients. We performed a single-arm feasibility clinical trial and enrolled 15 participants (mean age 22y 2m) with high-functioning ASD (mean full-scale IQ 103). Participants were submitted to a BCI training paradigm using a virtual reality interface over seven sessions spread over 4 months. The first four sessions occurred weekly, and the remainder monthly. In each session, the subject was asked to identify objects of interest based on the gaze direction of an avatar. Attentional responses were extracted from the EEG P300 component. A final follow-up assessment was performed 6-months after the last session. To analyze responses to joint attention cues participants were assessed pre and post intervention and in the follow-up, using an ecologic “Joint-attention task.” We used eye-tracking to identify the number of social attention items that a patient could accurately identify from an avatar's action cues (e.g., looking, pointing at). As secondary outcome measures we used the Autism Treatment Evaluation Checklist (ATEC) and the Vineland Adaptive Behavior Scale (VABS). Neuropsychological measures related to mood and depression were also assessed. In sum, we observed a decrease in total ATEC and rated autism symptoms (Sociability; Sensory/Cognitive Awareness; Health/Physical/Behavior); an evident improvement in Adapted Behavior Composite and in the DLS subarea from VABS; a decrease in Depression (from POMS) and in mood disturbance/depression (BDI). BCI online performance and tolerance were stable along the intervention. Average P300 amplitude and alpha power were also preserved across sessions. We have demonstrated the feasibility of BCI in this kind of intervention in ASD. Participants engage successfully and consistently in the task. Although the primary outcome (rate of automatic responses to joint attention cues) did not show changes, most secondary neuropsychological outcome measures showed improvement, yielding promise for a future efficacy trial.(clinical-trial ID: —clinicaltrials.gov).
机译:在ASD中,人们充分认识到从注视方向或其他社会关注线索来解释他人意图的不足。在这里,我们研究了脑电图脑计算机接口(BCI)是否可用于训练ASD患者的社交认知技能。我们进行了单臂可行性临床试验,招募了15名参与者(平均年龄22y 2m),他们患有功能正常的自闭症患者(平均智商为103)。参与者使用虚拟现实界面参加了BCI培训范例,历时4个月,共进行了7次培训。前四节课每周举行一次,其余的则每月一次。在每个会话中,要求对象根据化身的注视方向来识别感兴趣的对象。从EEG P300组件中提取注意力反应。在上一届会议后的六个月进行了最终的随访评估。为了分析对联合注意力提示的反应,使用生态学的“联合注意任务”对参与者在干预前后,随访中进行了评估。我们使用眼动追踪来识别患者可以从化身的动作线索(例如,看,指着)准确识别的社会关注项目的数量。作为第二结果指标,我们使用了自闭症治疗评估清单(ATEC)和葡萄园适应行为量表(VABS)。还评估了与情绪和抑郁有关的神经心理学措施。总而言之,我们观察到总体ATEC和自闭症症状(社交能力;感官/认知意识;健康/身体/行为)减少;适应行为综合和VABS的DLS子领域的明显改善;降低了抑郁症(来自POMS)和情绪障碍/抑郁症(BDI)。 BCI在线表现和耐受性在干预期间保持稳定。在整个会话期间,平均P300幅度和alpha功率也得以保留。我们已经证明了BCI在这种对ASD干预中的可行性。参与者成功且始终如一地参与任务。尽管主要结局(对联合注意力提示的自动反应率)未显示变化,但大多数次要神经心理学结局指标均显示出改善,为将来的疗效试验提供了希望。(临床试验编号:-clinicaltrials.gov)。

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