Cargando…
Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest
Analysis of resting-state networks using fMRI usually ignores high-frequency fluctuations in the BOLD signal – be it because of low TR prohibiting the analysis of fluctuations with frequencies higher than 0.25 Hz (for a typical TR of 2 s), or because of the application of a bandpass filter (commonly...
Autores principales: | Boubela, Roland N., Kalcher, Klaudius, Huf, Wolfgang, Kronnerwetter, Claudia, Filzmoser, Peter, Moser, Ewald |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640215/ https://www.ncbi.nlm.nih.gov/pubmed/23641208 http://dx.doi.org/10.3389/fnhum.2013.00168 |
Ejemplares similares
-
The Spectral Diversity of Resting-State Fluctuations in the Human Brain
por: Kalcher, Klaudius, et al.
Publicado: (2014) -
On the generalizability of resting-state fMRI machine learning classifiers
por: Huf, Wolfgang, et al.
Publicado: (2014) -
RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude
por: Kalcher, Klaudius, et al.
Publicado: (2013) -
Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Community Identification
por: Kalcher, Klaudius, et al.
Publicado: (2015) -
Big Data Approaches for the Analysis of Large-Scale fMRI Data Using Apache Spark and GPU Processing: A Demonstration on Resting-State fMRI Data from the Human Connectome Project
por: Boubela, Roland N., et al.
Publicado: (2016)