Classification of Temporal ICA Components for Separating Global Noise from fMRI Data: Reply to Power

We respond to a critique of our temporal Independent Components Analysis method for separating global noise from global signal in fMRI data that focuses on the signal versus noise classification of several components. While we agree with several of Power’s comments, we provide evidence and analysis...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Neuroimage
Main Authors: Glasser, Matthew F., Coalson, Timothy S., Bijsterbosch, Janine D., Harrison, Samuel J., Harms, Michael P., Anticevic, Alan, Van Essen, David C., Smith, Stephen M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6591096/
https://ncbi.nlm.nih.gov/pubmed/31026516
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.04.046
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados