Zhang Ru-Yuan, Zhao Yi-Jie, Zhang Li, Ran Xuemei, Chen Ji, Ku Yixuan
Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine and School of Psychology, Shanghai, China.
Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Schizophrenia (Heidelb). 2025 Jul 1;11(1):93. doi: 10.1038/s41537-025-00631-z.
This study investigates the computational mechanisms underlying visual working memory (VWM) deficits in schizophrenia (SZ) under distraction. Combining 60 SZ patients and 61 demographically matched healthy controls (HC), we employed a modified delayed-estimation task with varying set sizes (1/3) and distractor numbers (0/2). Results showed universally impaired VWM performance in SZ across conditions, though distraction did not disproportionately worsen their deficits. Using the variable precision model, we found that distractors significantly increased resource allocation variability (reflecting heterogeneity in attentional resource distribution) in HC, but not in SZ. This counterintuitive pattern suggests SZ patients' VWM processes are less perturbed by external distractions, potentially linked to reduced flexibility in cognitive control. Our findings highlight the nonlinear interplay of multiple cognitive dysfunctions in SZ, where their combined effects exceed simple additive models, offering new insights into the mechanistic complexity of cognitive deficits in the disorder.
本研究调查了精神分裂症(SZ)患者在分心情况下视觉工作记忆(VWM)缺陷背后的计算机制。我们将60名SZ患者和61名人口统计学匹配的健康对照者(HC)纳入研究,采用了一种经过改良的延迟估计任务,该任务具有不同的集合大小(1/3)和干扰物数量(0/2)。结果显示,在所有条件下,SZ患者的VWM表现普遍受损,尽管分心并未使其缺陷恶化得更为严重。使用可变精度模型,我们发现干扰物显著增加了HC的资源分配变异性(反映注意力资源分布的异质性),但在SZ患者中并非如此。这种违反直觉的模式表明,SZ患者的VWM过程受外部干扰的影响较小,这可能与认知控制灵活性降低有关。我们的研究结果突出了SZ中多种认知功能障碍的非线性相互作用,其综合效应超过了简单的累加模型,为该疾病认知缺陷的机制复杂性提供了新的见解。