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临床试验/NCT02573428
NCT02573428已完成不适用

Evaluating the Validity of an Eye Gaze Tracking Assessment Tool in Identifying Autism Spectrum Disorder

The Cleveland Clinic1 个研究点 分布在 1 个国家目标入组 389 人开始时间: 2015年6月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
389
试验地点
1
主要终点
Percentage of correctly discriminated ASD and non-ASD cases using the autism risk index.

研究概览

简要总结

The primary purpose of the present study is to evaluate the diagnostic validity of eye tracking measurements acquired during viewing of socially-relevant stimuli in predicting ASD diagnosis. The secondary purpose was to explore the potential prognostic value of eye tracking measures through cross-sectional associations with non-verbal cognitive ability.

Deficits in eye gaze are a hallmark sign of autism. A large and growing body of research supports the ability of eye-tracking based measurements to sensitively discriminate individuals with ASD and healthy participants. These investigations have identified that the core deficit in autism as disruption of social attention, reflecting an inability to appropriately engage and track socially- and emotionally-relevant aspects of the visual world. Thus, eye gaze tracking, acquired during viewing of socially-relevant stimuli, may be a useful approach to identifying objective markers of ASD. Eye tracking also carries the advantages of being less intrusive and expensive than MRI and genetic testing and specifically focuses on the core neurobehavioral characteristics of ASD - abnormalities in social attention.

After diagnosis of ASD, key clinical tasks in young children involve determining an accurate prognosis and tracking the progress of early interventions. Currently, the only prognostic indicators are clinical observations (subjective and expensive) and non-verbal cognitive ability testing (difficult to acquire, time-consuming, unavailable in many settings). Recently, eye gaze tracking was found to predict functional outcomes. Thus, in addition to being an objective marker for ASD, eye tracking measurements have potential to be useful for predicting cognitive and functional outcomes. Similarly, the only available methods for tracking treatment progress are parental reports (highly subjective), clinical observations (subjective and expensive), and cognitive measurements (expensive and unavailable in many settings. This study will evaluate, using cross-section data, the potential for eye tracking data to serve as a proxy for non-verbal cognitive ability scores in determining prognosis for ASD-affected children. Additionally, this study will evaluate the test re-test reliability of eye tracking parameters that can potentially be used to track treatment progress.

详细描述

The current study will occur in four phases: pilot testing, development, validation, and re-test. In each phase, participants will view a visual attention stimulus with social elements (social attention paradigm) while eye tracking measurements are remotely acquired. The visual attention paradigm will be refined in the pilot testing but will remain the same for development, validation, and re-test phases. The entire process, including calibration and viewing of the visual paradigm, will take about 15 minutes. The text below describes each phase in detail and the reviews specific methodology for the social attention paradigm and eye tracking procedures.

  1. Pilot Phase. Pilot testing of the social attention paradigm used to elicit eye gaze measurements to ensure they are sufficiently engaging across the ages of children participating. The visual attention paradigm during this phase is expected to be 10-12 minutes. This phase will also be used to determine optimal strategies for maintaining attention throughout the testing period. Initial data may also provide some insights into the most discriminating stimulus elements to include in future phases. Investigators anticipate recruiting approximately 10 ASD and 10 non-ASD participants in this phase. The pilot phase is expected to require 2.5 months of recruitment and 0.5 months of data reduction and analysis.
  2. Development Phase. Once pilot testing is completed, 30 ASD-affected and 30 non-ASD children ages 1.5 to 18 will be recruited. Each child will complete the social attention paradigm while their eye gaze is remotely tracked. Eye gaze data is then scored for more than 100 parameters and these scores are entered into a database that includes diagnostic and cognitive information about each participant. The eye tracking data is then analyzed to create the diagnostic and prognostic algorithms that will refine the system's diagnostic sensitivity and specificity in the ASD population. The development period will require 6 months of data collection, followed by 3 months of scoring and algorithm computation.
  3. Validation Phase. Collection of the validation sample will include 60 ASD-affected and 60 non-ASD affected children ages 1.5-18. The validation phase will use the same visual social attention paradigm and methods used in the development sample. The validation period will overlap algorithm development and require 8 months of data collection and 1 month of analysis.
  4. Re-Test Phase. Participants in the re-test phase will include 30 ASD and 30 non-ASD children recruited in the first half of the validation phase. These participants will be explained in the validation phase that investigators will be re-recruiting them for the re-test phase approximately 3-6 months following their initial testing during the validation phase.

The target sample size varies depending on the phase of the study. Below are the target sample sizes for each phase:

Pilot Phase = 10 ASD and 10 Non-ASD Development Phase = 30 ASD and 30 Non-ASD Validation Phase = 60 ASD and 60 Non-ASD Re-Test Phase = 30 ASD and 30 Non-ASD (from the validation phase) The study population is individuals with autism spectrum disorder, or a clinical diagnosis of another developmental or psychiatric disorder (developmental/psychiatric controls), or have no specific developmental or psychiatric diagnosis (healthy controls), ages 1.5 (18 months) to 18 (120 months) at time of consent.

Eye gaze data will be collected using a remote eye tracker from Sensori-motoric instruments (SMI). Remote eye tracking offers minimal invasiveness to the viewer's field of view and collects time-stamped, 3D eye position, and binocular gaze and pupil data at a sampling rate of 120 Hz. Eye gaze capture is automatically calibrated to 2/5/9 points and provides position accuracy to 0.5° at a 60cm viewing distance. Gaze tracking data, screen recordings, user events, and gaze position will be recorded simultaneously. Data will be analyzed with emphasis on areas-of- interest and dwell time on specific targets on a second-by-second basis. Examples of the types of measures captured include: dwell time to any area of the stimulus, dwell time to the face and non-face regions of a human form on the video, fixation shifts between stimuli.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Cross Sectional

入排标准

年龄范围
18 Months 至 18 Years(Child, Adult)
性别
All
接受健康志愿者

入选标准

  • Clinical diagnosis of Autism Spectrum Disorder (299.0) following evaluation in Cleveland Clinic Center for Autism Diagnostic Clinic, or a clinical diagnosis of another developmental or psychiatric disorder, or have no specific developmental or psychiatric diagnosis.
  • Age 1.5 to 18 years at time of consent.

排除标准

  • Individuals whom, with corrective lenses are still legally blind.
  • Individuals whom, it is determined at the discretion of hte Primary Investigator, after consultation with the evaluating psychologist in the Center for Autism Diagnostic Clinic, are not able to sufficiently attend to the stimulus presentation or have substantial challenging behaviors that would prohibit participation.

结局指标

主要结局

Percentage of correctly discriminated ASD and non-ASD cases using the autism risk index.

时间窗: 1 year from study start

In the development phase, all of the eye gaze measurements acquired from the social attention paradigm will be included as predictor variables in a random forest analysis. This analysis permits evaluation of the discriminative ability of a large number of variables in data sets with a modest number of cases. The variables with highest importance scores, indicating good diagnostic discrimination, will be entered into a logistic regression analysis with ASD diagnostic status (ASD vs. non-ASD) as the dichotomous dependent variable. Significant predictors will be retained and coefficients from the retained predictors will serve as the diagnostic autism risk index.

次要结局

  • Natural Interaction, Monologue with Directed Attention Stimulus - Dwell time in Upper Face Region of Interest (ROI) from 0.5-24 seconds(6 months from study start)
  • Natural Interaction, Joke 2 Stimulus - Dwell time in Upper Face ROI and Lower Face ROI from 0.5-8.0 seconds(6 months from study start)
  • Number of regions of interest with significant dwell time differences between ASD-affected and non-ASD participants.(3 months from study start)
  • Natural Interaction, Joke 2 Stimulus - Dwell time in Distractor 1, Distractor 2, Distractor 3 and Body ROIs from 0.2-10.34 seconds(6 months from study start)
  • Joint Attention, Gaze Middle Stimulus - Dwell time in Face ROI from 0.3-1.1 seconds(6 months from study start)
  • Area under the ROC curve of the prognostic algorithm in discriminating non-verbal cognitive disability.(21 months from study start)
  • Joint Attention, Gaze Middle Stimulus - Dwell time in Target Toy, Distractor Right and Distractor Left ROIs from 1.0-2.3 seconds(6 months from study start)
  • Joint Attention, Gaze Right Stimulus - Dwell time in Target Toy and Distractor Toy ROIs from 1.0-2.3 seconds(6 months from study start)
  • Joint Attention, Gaze Right 2 Stimulus - Dwell time in Face ROI from 2.0-3.0(6 months from study start)
  • Joint Attention, Gaze Right 2 Stimulus - Dwell time in Left Distractor, Middle Distractor and Right Target from 0.9-1.6 seconds(6 months from study start)
  • Natural Interaction, Joke 1 Stimulus - Dwell time in Body and Toys ROIs from 0.5-6.88 seconds(6 months from study start)
  • Natural Interaction, Monologue with Directed Attention Stimulus - Dwell time in Desk picture and Cup/Phone Regions of Interest (ROI) from 0.5-24 seconds(6 months from study start)
  • Natural Interaction, Joke 1 Stimulus - Dwell time in the Upper and Lower Face ROIs from 0.5-5.5 seconds(6 months from study start)
  • Joint Attention, Gaze Right Stimulus - Dwell time in Face A and Face B ROIs from 3.3-3.7 seconds(6 months from study start)
  • Joint Attention, Gesture Middle 1 Stimulus - Left Distractor, Right Distractor and Middle Target from 1.5-3.5 seconds(6 months from study start)
  • Joint Attention, Gesture Right 1 Stimulus - Target Toy, Distractor Middle and Distractor Left ROIs from 0.8-3.5 seconds(6 months from study start)
  • Joint Attention, Gesture Left 1 Stimulus - Target Toy, Distractor Middle and Distractor Right ROIs from 1.4-3.4 seconds(6 months from study start)
  • Joint Attention - Gesture Left 3 Stimulus - Left Target, Middle Distractor and Right Distractor ROIs from 0.7-2.3 seconds(6 months from study start)
  • Natural Interaction, Joke 2 Stimulus - Dwell time in Upper Face ROI from 4.3-5.0 seconds(6 months from study start)
  • Joint Attention, Gesture Right 2 Stimulus - Target Toy and Distractor Toy ROIs from 1.3-2.4 seconds(6 months from study start)
  • Joint Attention, Gesture Left 2 Stimulus - Target Toy and Distractor Right ROIs from 1.2-2.7 seconds(6 months from study start)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Thomas W. Frazier, Ph.D

Director, Center for Autism

The Cleveland Clinic

研究点 (1)

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