Klonteig Sandra, Roalsø Elise S, Kraft Brage, Moberget Torgeir, Hilland Eva, Mirtaheri Peyman, Jonassen Rune
Faculty of Technology, Art, and Design, Oslo Metropolitan University, Norway.
Faculty of Health Sciences, Oslo Metropolitan University, Norway.
J Behav Ther Exp Psychiatry. 2025 Sep;88:102036. doi: 10.1016/j.jbtep.2025.102036. Epub 2025 Apr 10.
Attentional bias (AB) is characterized by preferential cognitive and emotional processing of mood-congruent stimuli and considered a central mechanism in mood disorders. Considerable research has focused on improving AB measures to enhance mechanistic understanding and clinical utility. The present study examines psychometric properties of a range of AB measures with a multimodal setup.
A nonclinical sample of 62 women aged 20-30 years completed the facial dot-probe task while behavioral responses (reaction time), eye-gaze patterns (eye tracking), and electrical brain potentials (electroencephalography) were recorded. AB metrics from four types of AB measures - traditional, response-based, dwell time, and the N2pc component- were examined with internal consistency and short-term test-retest calculations. AB metrics with an internal consistency score over .4 were considered reliable, and their validity were explored by examining relations to depression and anxiety symptoms. In addition, the consistency between reliable metrics across trials were examined.
Findings show that traditional AB metrics exhibited no degree of reliability, whereas response-based and dwell time metrics overall demonstrated better internal consistencies. Response-based metrics also had higher test-retest reliability in all but one metric. The previously reported reliability of the N2pc component was not observed. As for validity, no linear associations were found between the reliable measures, depression, and anxiety. There were no relations between metrics across trials.
This study provides insights for future AB research, emphasizing the potential of novel metrics over traditional ones and the use of multimodal setups to develop reliable and potentially hybrid measurements for clinical assessment.
注意偏向(AB)的特征是对情绪一致的刺激进行优先的认知和情感加工,被认为是情绪障碍的核心机制。大量研究集中于改进注意偏向测量方法,以增进对其机制的理解并提高临床应用价值。本研究采用多模态设置检验了一系列注意偏向测量方法的心理测量特性。
62名年龄在20至30岁之间的非临床女性样本完成了面部点探测任务,同时记录行为反应(反应时间)、眼动模式(眼动追踪)和脑电活动(脑电图)。通过内部一致性和短期重测计算,检验了四种注意偏向测量方法(传统法、基于反应法、注视时间法和N2pc成分法)的注意偏向指标。内部一致性得分超过0.4的注意偏向指标被认为是可靠的,并通过检验其与抑郁和焦虑症状的关系来探索其有效性。此外,还检验了各试验中可靠指标之间的一致性。
研究结果表明,传统的注意偏向指标没有表现出可靠性,而基于反应和注视时间的指标总体上表现出更好的内部一致性。除一项指标外,基于反应的指标在所有指标中也具有更高的重测可靠性。未观察到先前报道的N2pc成分的可靠性。至于有效性,在可靠测量、抑郁和焦虑之间未发现线性关联。各试验的指标之间没有关系。
本研究为未来的注意偏向研究提供了见解,强调了新指标相对于传统指标的潜力,以及使用多模态设置来开发用于临床评估的可靠且可能的混合测量方法。