Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat

Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat

Metabolic connectivity patterns on the basis of [18F]-FDG positron emission tomography (PET) are used to depict complex cerebral network alterations in different neurological disorders and therefore may have the potential to support diagnostic decisions. In this study, we established a novel statist...

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Bibliographic Details
Main Authors:	Maximilian Grosch, Leonie Beyer, Magdalena Lindner, Lena Kaiser, Seyed-Ahmad Ahmadi, Anna Stockbauer, Peter Bartenstein, Marianne Dieterich, Matthias Brendel, Andreas Zwergal, Sibylle Ziegler
Format:	Article
Language:	English
Published:	Elsevier 2021-07-01
Series:	NeuroImage
Subjects:	positron emission tomography metabolic connectivity classification cerebral networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S1053811921002846

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