Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada.
Douglas Research Centre, Montreal, QC, Canada.
Prog Neuropsychopharmacol Biol Psychiatry. 2024 Feb 8;129:110894. doi: 10.1016/j.pnpbp.2023.110894. Epub 2023 Nov 11.
Psychiatric disorders are characterized by cognitive deficits, which have been proposed as a transdiagnostic feature of psychopathology ("C" factor). Similarly, cognitive biases (e.g., in attention, memory, and interpretation) represent common tendencies in information processing that are often associated with psychiatric symptoms. However, the question remains whether cognitive biases are also transdiagnostic or are specific to certain psychiatric disorders/symptoms. The current systematic review sought to address whether the proposed "C" factor of transdiagnostic cognitive dysfunction in psychopathology can be extended to cognitive biases. Overall, 31 studies comprising 4401 participants (2536 patients, 1865 non-clinical controls) met inclusion criteria, assessing 19 cognitive biases across 20 diagnostic categories, with most studies focusing on interpretation (k = 22) and attention (k = 11) biases and only 2 assessing memory biases. Traditional meta-analyses found a moderate effect size (g = 0.32) for more severe cognitive biases in all patients relative to non-clinical controls, as well as small but significant associations between interpretation biases and transdiagnostic symptom categories (general psychopathology: r = 0.20, emotion dysfunction: r = 0.17, psychotic symptoms: r = 0.25). Network meta-analyses revealed significant patient versus non-clinical control differences on attention and interpretation biases across diagnoses, as well as significant differences between diagnoses, with highest severity in panic disorder for attention biases and obsessive-compulsive disorder for interpretation biases. The current findings extend the big "C" interpretation of transdiagnostic cognitive dysfunction in psychiatric disorders to cognitive biases and transdiagnostic symptom dimensions. Results also suggest that while the presence of cognitive biases is transdiagnostic, bias severity differs across diagnoses, as in traditional neurocognitive deficits.
精神障碍的特征是认知缺陷,这被认为是精神病理学的一种跨诊断特征(“C”因素)。同样,认知偏差(例如,在注意力、记忆和解释方面)代表了信息处理中的常见倾向,这些倾向通常与精神症状有关。然而,问题仍然是认知偏差是否也是跨诊断的,或者是否特定于某些精神障碍/症状。本系统综述旨在探讨精神病理学中跨诊断认知功能障碍的拟议“C”因素是否可以扩展到认知偏差。总体而言,有 31 项研究(包括 4401 名参与者,2536 名患者,1865 名非临床对照者)符合纳入标准,评估了 20 个诊断类别中的 19 种认知偏差,大多数研究侧重于解释(k=22)和注意力(k=11)偏差,只有 2 项研究评估了记忆偏差。传统的荟萃分析发现,与非临床对照组相比,所有患者的严重认知偏差的效应量中等(g=0.32),并且解释偏差与跨诊断症状类别之间存在小但显著的关联(一般精神病理学:r=0.20,情绪功能障碍:r=0.17,精神病症状:r=0.25)。网络荟萃分析显示,在注意力和解释偏差方面,患者与非临床对照组之间存在显著差异,且不同诊断之间也存在显著差异,在注意力偏差方面,惊恐障碍的严重程度最高,在解释偏差方面,强迫症的严重程度最高。目前的研究结果将精神障碍中跨诊断认知功能障碍的大“C”解释扩展到认知偏差和跨诊断症状维度。结果还表明,虽然认知偏差是跨诊断的,但偏差严重程度因诊断而异,这与传统的神经认知缺陷相似。