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\begin{document}

\title{\begin{CJK}{UTF8}{gbsn}我们如何分析的源空间网络\end{CJK}}



\author[1]{junpeng.zhang}%
\affil[1]{Sichuan University}%


\vspace{-1em}



  
  \date{May 08, 2024}


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Source~ reconstruction and network construction~

in this study,~ we~ conduct source level network analysis. the first
step is to reconstruct source activation. source reconstruction analysis
was performed with Brainstorm\citep{Tadel_2011}, which is documented and
freely available for download online under the GNU general public
license (\url{http://neuroimage.usc.edu/brainstorm}). Brainstorm
integrates various distributed source model methods and can readily
conduct source analysis. Here we used Brainstorm to estimate source
activations of interictal~ MEG with or without spikes.~ We applied the
method of Standardized Low Resolution Electromagnetic Tomography
Analysis (sLORETA) (\protect\hyperlink{_ENREF_2}{Pascual-Marqui 2002})
to identify and evaluate active sources. The sLORETA is based on Minimum
Norm Estimation (MNE) and The activity (current density) is normalized
by an individual estimate of the source standard deviation at each
location. We applied the method of Minimum Norm Estimation (MNE)~ ~It
has been identified as an efficient tool for functional mapping, since
it is consistent with physiology and capable of correct localization.
MEG were projected on individual cortical surfaces reconstructed by
freesurfer. Cortical surface was divided into 15002 grid points
(sources). in our study, when source current density was calculated,
source orientation is constrained and is perpendicular to cortical
surface. In a first step, MNE source estimation was calculated for whole
brain at voxel level. Secondly,~ for computation convenience, source
activation were spatially downsampled into 68 Desikan-Killiany atlas and
within each atlas, the averaged source waveforms over each atlas were
used to represent the atlas waveforms.~ Desikan-Killiany atlas relies on
automatic parcellation using a surface-based alignment of the cortical
folding (\citep{Desikan_2006}).~ ~
(\begin{CJK}{UTF8}{gbsn}矩阵重建部分\end{CJK}\selectlanguage{english},Jiu An Zhao Ni Wen Zhang Zhong Xie De Jiu Ke Yi Liao \selectlanguage{english})

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