Kamarajan Chella, Pandey Ashwini K, Chorlian David B, Porjesz Bernice
Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
Henri Begleiter Neurodynamics Laboratory, SUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
Int J Psychophysiol. 2015 Sep;97(3):310-22. doi: 10.1016/j.ijpsycho.2014.10.013. Epub 2014 Nov 6.
The use of current source density (CSD), the Laplacian of the scalp surface voltage, to map the electrical activity of the brain is a powerful method in studies of cognitive and affective phenomena. During the last few decades, mapping of CSD has been successfully applied to characterize several neuropsychiatric conditions such as alcoholism, schizophrenia, depression, anxiety disorders, childhood/developmental disorders, and neurological conditions (i.e., epilepsy and brain lesions) using electrophysiological data from resting state and during cognitive performance. The use of CSD and Laplacian measures has proven effective in elucidating topographic and activation differences between groups: i) patients with a specific diagnosis vs. healthy controls, ii) subjects at high risk for a specific diagnosis vs. low risk or normal controls, and iii) patients with specific symptom(s) vs. patients without these symptom(s). The present review outlines and summarizes the studies that have employed CSD measures in investigating several neuropsychiatric conditions. The advantages and potential of CSD-based methods in clinical and research applications along with some of the limitations inherent in the CSD-based methods are discussed in the review, as well as future directions to expand the implementation of CSD to other potential clinical applications. As CSD methods have proved to be more advantageous than using scalp potential data to understand topographic and source activations, its clinical applications offer promising potential, not only for a better understanding of a range of psychiatric conditions, but also for a variety of focal neurological disorders, including epilepsy and other conditions involving brain lesions and surgical interventions.
使用电流源密度(CSD,即头皮表面电压的拉普拉斯算子)来绘制大脑电活动图,是研究认知和情感现象的一种强大方法。在过去几十年中,CSD图谱已成功应用于利用静息状态和认知表现期间的电生理数据来表征多种神经精神疾病,如酒精中毒、精神分裂症、抑郁症、焦虑症、儿童/发育障碍以及神经疾病(即癫痫和脑损伤)。事实证明,使用CSD和拉普拉斯测量方法能够有效阐明不同组之间的地形差异和激活差异:i)特定诊断的患者与健康对照;ii)特定诊断高风险的受试者与低风险或正常对照;iii)有特定症状的患者与无这些症状的患者。本综述概述并总结了在研究多种神经精神疾病中采用CSD测量方法的研究。综述讨论了基于CSD的方法在临床和研究应用中的优势与潜力,以及基于CSD的方法所固有的一些局限性,还探讨了将CSD应用扩展到其他潜在临床应用的未来方向。由于CSD方法已被证明在理解地形和源激活方面比使用头皮电位数据更具优势,其临床应用不仅为更好地理解一系列精神疾病提供了有前景的潜力,也为各种局灶性神经疾病,包括癫痫和其他涉及脑损伤及手术干预的疾病,提供了有前景的潜力。