Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach.

Purpose: Sparse inverse covariance estimation (SICE) is increasingly utilized to estimate inter-subject covariance of FDG uptake (FDGcov) as proxy of metabolic brain connectivity. However, this statistical method suffers from the lack of robustness in the connectivity estimation. Patterns of FDGcov...

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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 1; pp. 80 - 90
Autores principales:	Wang, Min, Schutte, Michael, Grimmer, Timo, Lizarraga, Aldana, Schultz, Thomas, Hedderich, Dennis M., Diehl-Schmid, Janine, Rominger, Axel, Ziegler, Sybille, Navab, Nassir, Yan, Zhuangzhi, Jiang, Jiehui, Yakushev, Igor, Shi, Kuangyu
Formato:	Journal Article
Publicado:	Springer Nature Dec2022
Acceso en línea:	Ver este registro en EBSCOhost