Sleep‐Related Attentional Bias in Insomnia: A Drift Diffusion Model Approach

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Authors: Isla Tsz Kwan Hui, Ho-Fung Chung, Sing-Hang Cheung, Nazanin Biabani, Panagis Drakatos, Romola Starr Bucks, Sharon Linda Naismith, D. O'Regan, Veena Kumari, Dieter Riemann, Toby Wise, Shirley Xin Li
+1 more Ivana Rosenzweig
Cited by: 1
References: 59

Abstract

Cognitive models propose that insomnia is maintained in part by selective attention to sleep-related information, yet reaction-time indices alone offer limited mechanistic specificity. We investigated sleep-related attentional bias in adolescents and young adults with insomnia disorder (n = 201; aged 15-24 years; DSM-5) using a sleep-related dot-probe task with sleep-related and neutral Cantonese Chinese word pairs. Trial-level responses were analysed with Hierarchical Drift Diffusion Modelling (HDDM) to estimate drift rate (v), the speed of evidence accumulation for probe response choices and to examine moderation by anxiety symptoms. Drift rates were higher on congruent than incongruent trials (q = 0.036), indicating faster evidence accumulation when the probe appeared in the location of sleep-related words, consistent with sleep-related attentional bias indexed indirectly via probe responses. Higher anxiety was associated with faster drift rates across both trial types (q = 0.023 and q = 0.024), consistent with generalised hyperarousal rather than selective enhancement of sleep-related bias. The congruency × anxiety interaction was not significant (95% HDI [-0.10, 0.31]). These findings provide computational evidence consistent with sleep-related attentional bias in young people with insomnia and suggest that comorbid anxiety is associated with broadly increased evidence accumulation rather than cue-specific amplification.

Fields of Study & Subjects

Sleep and related disorders Sleep and Wakefulness Research Mental Health Research Topics

Publication details

Journal / source
Journal of Sleep Research
Publisher
Wiley
Volume
35
Issue
4
Pages
e70315–e70315
Publication date
24 February 2026
Language
EN