BA3b and BA1 activate in a serial fashion after median nerve stimulation: Direct evidence from combining source analysis of evoked fields and cytoarchitectonic probabilistic maps
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- 作者：Christos Papadelis ; Simon B. Eickhoff ; Karl Zilles ; Andreas A. Ioannides
- 关键词：Somatosensory evoked fields ; Serial processing ; Median nerve ; Cytoarchitectonic probabilistic maps
- 刊名：NeuroImage
- 出版年：2011
- 出版时间：1 January 2011
- 年：2011
- 卷：54
- 期：1
- 页码：60-73
- 全文大小：2771 K
文摘
This study combines source analysis imaging data for early somatosensory processing and the probabilistic cytoarchitectonic maps (PCMs). Human somatosensory evoked fields (SEFs) were recorded by stimulating left and right median nerves. Filtering the recorded responses in different frequency ranges identified the most responsive frequency band. The short-latency averaged SEFs were analyzed using a single equivalent current dipole (ECD) model and magnetic field tomography (MFT). The identified foci of activity were superimposed with PCMs. Two major components of opposite polarity were prominent around 21 and 31 ms. A weak component around 25 ms was also identified. For the most responsive frequency band (50–150 Hz) ECD and MFT revealed one focal source at the contralateral Brodmann area 3b (BA3b) at the peak of N20. The component ~ 25 ms was localised in Brodmann area 1 (BA1) in 50–150 Hz. By using ECD, focal generators around 28–30 ms located initially in BA3b and 2 ms later to BA1. MFT also revealed two focal sources — one in BA3b and one in BA1 for these latencies. Our results provide direct evidence that the earliest cortical response after median nerve stimulation is generated within the contralateral BA3b. BA1 activation few milliseconds later indicates a serial mode of somatosensory processing within cytoarchitectonic SI subdivisions. Analysis of non-invasive magnetoencephalography (MEG) data and the use of PCMs allow unambiguous and quantitative (probabilistic) interpretation of cytoarchitectonic identity of activated areas following median nerve stimulation, even with the simple ECD model, but only when the model fits the data extremely well.