Vivian L. Smith Department of Neurosurgery, University of Texas Medical School at Houston, USA.
Comput Biol Med. 2011 Dec;41(12):1100-9. doi: 10.1016/j.compbiomed.2011.07.008. Epub 2011 Aug 17.
Here we present a novel multimodal analysis of network connectivity in the language system. We assessed connectivity of Broca's area using tractography with diffusion tensor imaging (DTI), and with cortico-cortical evoked potentials (CCEPs) to measure the spread of artificial currents applied directly to human cortex. We found that both the amplitude and latency of CCEP currents significantly correlates (r(2)=0.41, p<10(-16)) with the number of DTI pathways connecting the stimulation and recording loci. This strategy of relating electrical information flow with the neural architecture will likely yield new insights into cognitive processes.
在这里,我们提出了一种新的语言系统网络连接的多模态分析方法。我们使用弥散张量成像(DTI)的轨迹分析法来评估布罗卡区的连接性,并使用皮质-皮质诱发电位(CCEPs)来测量直接施加于人类皮质的人工电流的传播。我们发现,CCEP 电流的幅度和潜伏期与连接刺激和记录部位的 DTI 通路数量都显著相关(r²=0.41,p<10⁻¹⁶)。这种将电信息流与神经结构相关联的策略可能会为认知过程提供新的见解。