Using Temporal ICA to Selectively Remove Global Noise While Preserving Global Signal in Functional MRI Data

Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data also contain structured temporal “noise” from a variety of sources, including subject motion, subject physiology, an...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:Neuroimage
Huvudupphovsmän: Glasser, Matthew F., Coalson, Timothy S., Bijsterbosch, Janine D., Harrison, Samuel J., Harms, Michael P., Anticevic, Alan, Van Essen, David C., Smith, Stephen M.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
Ämnen:
Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6237431/
https://ncbi.nlm.nih.gov/pubmed/29753843
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2018.04.076
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk