Miller Michael B, Van Horn John Darrell, Wolford George L, Handy Todd C, Valsangkar-Smyth Monica, Inati Souheil, Grafton Scott, Gazzaniga Michael S
Department of Psychology, University of California, Santa Barbara 93106, USA.
J Cogn Neurosci. 2002 Nov 15;14(8):1200-14. doi: 10.1162/089892902760807203.
The localization of brain functions using neuroimaging techniques is commonly dependent on statistical analyses of groups of subjects in order to identify sites of activation, particularly in studies of episodic memory. Exclusive reliance on group analysis may be to the detriment of understanding the true underlying cognitive nature of brain activations. In the present study, we found that the patterns of brain activity associated with episodic retrieval are very distinct for individual subjects from the patterns of brain activity at the group level. These differences go beyond the relatively small variations due to cyctoarchitectonic differences or spatial normalization. We quantify this individual variability by cross-correlating volumes of brain images. We demonstrate that individual patterns of brain activity are reliable over time despite their extensive variability. We suggest that varied but reliable individual patterns of significant brain activity may be indicative of different cognitive strategies used to produce a recognition response. We believe that individual analysis in conjunction with group analysis may be critical to fully understanding the relationship between retrieval processes and underlying brain regions.
使用神经成像技术对脑功能进行定位通常依赖于对受试者群体的统计分析,以便识别激活位点,尤其是在情景记忆研究中。单纯依靠群体分析可能不利于理解大脑激活的真正潜在认知本质。在本研究中,我们发现,与情景检索相关的大脑活动模式在个体受试者中与群体水平的大脑活动模式非常不同。这些差异超出了由于细胞结构差异或空间归一化导致的相对较小的变化。我们通过对脑图像体积进行互相关来量化这种个体变异性。我们证明,尽管个体大脑活动模式存在广泛变异性,但它们随时间是可靠的。我们认为,显著的大脑活动的多样但可靠的个体模式可能表明用于产生识别反应的不同认知策略。我们相信,个体分析与群体分析相结合对于全面理解检索过程与潜在脑区之间的关系可能至关重要。