Department of Psychology, Colorado State University, Fort Collins, CO, USA.
Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
J Int Neuropsychol Soc. 2022 Mar;28(3):258-269. doi: 10.1017/S1355617721000424. Epub 2021 May 5.
Cognitive tasks are used to probe neuronal activity during functional magnetic resonance imaging (fMRI) to detect signs of aberrant cognitive functioning in patients diagnosed with schizophrenia (SZ). However, nonlinear (inverted-U-shaped) associations between neuronal activity and task difficulty can lead to misinterpretation of group differences between patients and healthy comparison subjects (HCs). In this paper, we evaluated a novel method for correcting these misinterpretations based on conditional performance analysis.
Participants included 25 HCs and 27 SZs who performed a working memory (WM) task (N-back) with 5 load conditions while undergoing fMRI. Neuronal activity was regressed onto: 1) task load (i.e., parametric task levels), 2) marginal task performance (i.e., performance averaged over all load conditions), or 3) conditional task performance (i.e., performance within each load condition).
In most regions of interest, conditional performance analysis uniquely revealed inverted-U-shaped neuronal activity in both SZs and HCs. After accounting for conditional performance differences between groups, we observed few difference in both the pattern and level of neuronal activity between SZs and HCs within regions that are classically associated with WM functioning (e.g., posterior dorsolateral prefrontal and parietal association cortices). However, SZs did show aberrant activity within the anterior dorsolateral prefrontal cortex.
Interpretations of differences in neuronal activity between groups, and of associations between neuronal activity and performance, should be considered within the context of task performance. Whether conditional performance-based differences reflect compensation, dedifferentiation, or other processes is not a question that is easily resolved by examining activation and performance data alone.
认知任务被用于探测功能磁共振成像(fMRI)期间的神经元活动,以检测诊断为精神分裂症(SZ)的患者的异常认知功能迹象。然而,神经元活动与任务难度之间的非线性(倒 U 形)关系可能导致对患者和健康对照组(HCs)之间的组间差异的误解。在本文中,我们评估了一种基于条件性能分析来纠正这些误解的新方法。
参与者包括 25 名 HCs 和 27 名 SZs,他们在进行 fMRI 时执行了一项工作记忆(WM)任务(N-back),具有 5 种负荷条件。将神经元活动回归到:1)任务负荷(即参数化任务水平),2)边际任务表现(即所有负荷条件下的平均表现),或 3)条件任务表现(即在每个负荷条件下的表现)。
在大多数感兴趣的区域中,条件性能分析在 SZs 和 HCs 中均独特地揭示了倒 U 形的神经元活动。在考虑了组间的条件性能差异后,我们在与 WM 功能相关的经典区域(例如,后外侧前额叶和顶叶联合皮层)内观察到 SZs 和 HCs 之间的神经元活动模式和水平差异很少。然而,SZs 在额侧背外侧前额叶皮层内确实显示出异常的活动。
应该在任务表现的背景下考虑对组间神经元活动差异的解释,以及神经元活动与表现之间的关联。基于条件性能的差异是否反映补偿、去分化或其他过程,仅凭检查激活和表现数据很难得到解决。