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Imbiriba — JAMA Network Open 2023 (AIC Extension)

Citation: Imbiriba, T., Demirkaya, A., Singh, A., et al. (2023). JAMA Network Open, 6(12), e2348898.
DOI: 10.1001/jamanetworkopen.2023.48898
Access: AIC study — contact authors (Imbiriba et al.), check SFARI Base
Tier: 1

Overview

Largest ASD aggression prediction study to date. Replicated and extended Goodwin 2019 across 4 inpatient sites. 70 participants (ages 5-19, 88.6% male), 429 sessions, 497 hours, 6665 aggressive behaviors.

Signals

Device: Empatica E4 wristband (non-dominant wrist) - EDA (electrodermal activity) - BVP (blood volume pulse → HR/HRV) - ACC (accelerometry) - TEMP (skin temperature)

Labels

  • Self-injurious behavior (SIB) — 3983 events (59.8%)
  • Emotion dysregulation (ED, including tantrums and meltdowns) — 2063 events (31.0%)
  • Aggression toward others (ATO) — 619 events (9.3%)

Performance

  • Best classifier: logistic regression
  • AUROC: 0.80 predicting 3 minutes before onset (95% CI, 0.79-0.81)
  • Compared: SVM, neural networks, domain adaptation

Key Findings

  • Replicated Goodwin findings at larger scale
  • First study to separately predict SIB, ED, and ATO from wearable data
  • Logistic regression consistently best across all experiments
  • Domain adaptation improved cross-subject generalization

Linked To