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Titel:

Metabolic connectivity: methods and applications.

Dokumenttyp:
Journal Article
Autor(en):
Yakushev, Igor; Drzezga, Alexander; Habeck, Christian
Abstract:
Metabolic connectivity modelling aims to detect functionally interacting brain regions based on PET recordings with the glucose analogue [F]fluorodeoxyglucose (FDG). Here, we outline the most popular metabolic connectivity methods and summarize recent applications in clinical and basic neuroscience.Metabolic connectivity is modelled by various methods including a seed correlation, sparse inverse covariance estimation, independent component analysis and graph theory. Given its multivariate nature...     »
Zeitschriftentitel:
Curr Opin Neurol
Jahr:
2017
Band / Volume:
30
Heft / Issue:
6
Seitenangaben Beitrag:
677-685
Sprache:
eng
Volltext / DOI:
doi:10.1097/WCO.0000000000000494
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/28914733
Print-ISSN:
1350-7540
TUM Einrichtung:
Klinik und Poliklinik für Nuklearmedizin
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