期刊
NEUROIMAGE
卷 167, 期 -, 页码 372-383出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2017.11.068
关键词
MEG; Cortical laminae; Generative model; Cross validation; Free energy
资金
- BBSRC [BB/M009645/1]
- Wellcome Trust [104943/Z/14/Z, 098352/Z/12/Z, 105804/Z/ 14/Z]
- Medical Research Council
- Engineering and Physical Sciences Research Council [MR/K6010/86010/1]
- Medical Research Council UKMEG Partnership grant [MR/K005464/1]
- Wellcome Trust
- Wellcome [091593/Z/10/Z]
- BBSRC [BB/M009645/1] Funding Source: UKRI
- MRC [MR/K005464/1] Funding Source: UKRI
- Wellcome Trust [105804/Z/14/Z] Funding Source: Wellcome Trust
- Biotechnology and Biological Sciences Research Council [BB/M009645/1] Funding Source: researchfish
- Medical Research Council [MR/K005464/1] Funding Source: researchfish
- Wellcome Trust [105804/Z/14/Z] Funding Source: researchfish
Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution is therefore not constrained by physiology but rather by data quality and the models used to explain these data. Recent simulation work has shown that it is possible to distinguish between signals arising in the deep and superficial cortical laminae given accurate knowledge of these surfaces with respect to the MEG sensors. This previous work has focused around a single inversion scheme (multiple sparse priors) and a single global parametric fit metric (free energy). In this paper we use several different source inversion algorithms and both local and global, as well as parametric and non-parametric fit metrics in order to demonstrate the robustness of the discrimination between layers. We find that only algorithms with some sparsity constraint can successfully be used to make laminar discrimination. Importantly, local t-statistics, global cross-validation and free energy all provide robust and mutually corroborating metrics of fit. We show that discrimination accuracy is affected by patch size estimates, cortical surface features, and lead field strength, which suggests several possible future improvements to this technique. This study demonstrates the possibility of determining the laminar origin of MEG sensor activity, and thus directly testing theories of human cognition that involve laminar-and frequency-specific mechanisms. This possibility can now be achieved using recent developments in high precision MEG, most notably the use of subject-specific head-casts, which allow for significant increases in data quality and therefore anatomically precise MEG recordings. Section: Analysis methods. Classifications: Source localization: inverse problem; Source localization: other.
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