Cargando…
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
Technologies for scalable analysis of very large datasets have emerged in the domain of internet computing, but are still rarely used in neuroimaging despite the existence of data and research questions in need of efficient computation tools especially in fMRI. In this work, we present software tool...
Autores principales: | Boubela, Roland N., Kalcher, Klaudius, Huf, Wolfgang, Našel, Christian, Moser, Ewald |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701924/ https://www.ncbi.nlm.nih.gov/pubmed/26778951 http://dx.doi.org/10.3389/fnins.2015.00492 |
Ejemplares similares
-
Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Community Identification
por: Kalcher, Klaudius, et al.
Publicado: (2015) -
On the generalizability of resting-state fMRI machine learning classifiers
por: Huf, Wolfgang, et al.
Publicado: (2014) -
fMRI measurements of amygdala activation are confounded by stimulus correlated signal fluctuation in nearby veins draining distant brain regions
por: Boubela, Roland N., et al.
Publicado: (2015) -
Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest
por: Boubela, Roland N., et al.
Publicado: (2013) -
RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude
por: Kalcher, Klaudius, et al.
Publicado: (2013)