Calhoun Vd, Wu L, Kiehl Ka, Eichele T, Pearlson Gd
The Mind Research Network, Albuquerque, New Mexico 87131.
Acta Neuropsychiatr. 2010 Jun;22(3):127-138. doi: 10.1111/j.1601-5215.2010.00467.x.
Aberrant electrophysiological and hemodynamic processing of auditory oddball stimuli is among the most robustly documented findings in patients with schizophrenia. However, no study to date has directly examined linked patterns of electrical and hemodynamic differences in patients and controls. METHODS: In a recent paper we demonstrated a data-driven approach, joint independent component analysis (jICA) to fuse together functional magnetic resonance imaging (fMRI) and event-related potential (ERP) data and elucidated the chronometry of auditory oddball target detection in healthy control subjects. In this paper we extend our fusion method to identify specific differences in the neuronal chronometry of target detection for chronic schizophrenia patients compared to healthy controls. RESULTS: We found one linked source, consistent with the N2 response, known to be related to cognitive processing of deviant stimuli, spatially localized to bilateral fronto-temporal regions. This source showed significant between-group differences both in amplitude response and in the fMRI/ERP distribution pattern. These findings are consistent with previous work showing N2 amplitude and latency abnormalities in schizophrenia, and provide new information about the linkage between the two. CONCLUSIONS: In summary, we use a novel approach to isolate and identify a linked fMRI/ERP component which shows marked differences in chronic schizophrenia patients. We also demonstrate that jointly using both fMRI and ERP measures provides a fully picture of the underlying hemodynamic and electrical changes which are present in patients. Our approach also has broad applicability to other diseases such as autism, Alzheimer's disease, or bipolar disorder.
听觉偏差刺激的异常电生理和血流动力学处理是精神分裂症患者中记录最为确凿的发现之一。然而,迄今为止尚无研究直接检测患者与对照组中电和血流动力学差异的关联模式。方法:在最近一篇论文中,我们展示了一种数据驱动的方法,即联合独立成分分析(jICA),用于融合功能磁共振成像(fMRI)和事件相关电位(ERP)数据,并阐明健康对照受试者中听觉偏差目标检测的时间进程。在本文中,我们扩展了我们的融合方法,以识别慢性精神分裂症患者与健康对照相比在目标检测的神经元时间进程方面的特定差异。结果:我们发现一个与N2反应一致的关联源,已知其与偏差刺激的认知处理有关,在空间上定位于双侧额颞区域。该源在振幅反应以及fMRI/ERP分布模式上均显示出显著的组间差异。这些发现与先前显示精神分裂症患者N2振幅和潜伏期异常的研究一致,并提供了关于两者之间关联的新信息。结论:总之,我们使用一种新颖的方法来分离和识别一个关联的fMRI/ERP成分,该成分在慢性精神分裂症患者中显示出明显差异。我们还证明,联合使用fMRI和ERP测量可以全面呈现患者中存在的潜在血流动力学和电变化情况。我们的方法还广泛适用于其他疾病,如自闭症、阿尔茨海默病或双相情感障碍。