Bypassing the volume conduction effect by multilayer neural network for effective connectivity estimation

Differentiation of real interactions between different brain regions from spurious ones has been a challenge in neuroimaging researches. While using electroencephalographic data, those spurious interactions are mostly caused by the volume conduction (VC) effect between the recording sites. In this s...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical & biological engineering & computing 2019-09, Vol.57 (9), p.1947-1959
Hauptverfasser:	Talebi, Nasibeh, Nasrabadi, Ali Motie, Mohammad-Rezazadeh, Iman
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autoregressive models Autoregressive processes Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Brain Brain - diagnostic imaging Brain - physiology Brain Mapping - methods Computer Applications Computer Simulation Conduction EEG Electroencephalography Electroencephalography - methods Human Physiology Humans Imaging Linear equations Medical imaging Multilayers Multivariate analysis Neural networks Neural Networks, Computer Neuroimaging Neurology Original Article Radiology Recording Signal Processing, Computer-Assisted
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!