Functional neuroimaging independent component analysis

From Brede Wiki
Jump to: navigation, search
Topic (help)
Functional neuroimaging independent component analysis
Variations:
Category: Functional neuroimaging independent component analysis
Parents:

Independent component analysis
Functional neuroimaging
Neuroimaging analysis

Children:
Databases:
Search
Papers: DOAJ Google Scholar PubMed
Ontologies: MeSH NeuroLex Wikidata Wikipedia
Other: Google Twitter WolframAlpha

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Functional neuroimaging independent component analysis is independent component analysis (ICA) used in functional neuroimaging, especially functional magnetic resonance imaging (fMRI). Two modes are commonly considered:

  1. Temporal ICA
  2. Spatial ICA

Other methods are:

  1. Convolutive ICA.[1]
  2. Complex ICA in the frequency domain.[2]

Contents

[edit] Tools

  1. AnalyzeFMRI in R[3]
  2. Brede Toolbox
  3. FMRLAB[4]
  4. GIFT[5]
  5. Lyngby Toolbox[6]
  6. MELODIC from FSL

[edit] Papers

[edit] Reviews

  1. A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
  2. ICA of functional MRI data: an overview
  3. Independent component analysis of functional MRI: what is signal and what is noise?
  4. Unmixing fMRI with independent component analysis

[edit] Original articles

  1. Analysis of fMRI data by blind separation into independent spatial components
  2. Comparison of multi-subject ICA methods for analysis of fMRI data
  3. Quality map thresholding for de-noising of complex valued fMRI data and its application to ICA of fMRI
  4. Spatial independent component analysis for multi-task functional MRI data processing

[edit] External links

  1. Finn Årup Nielsen, Bibliography on Independent Component Analysis in Functional Neuroimaging.

[edit] References

  1. ICA if fMRI based on a convolutive mixture model
  2. Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig(2004). "Unraveling spatio-temporal dynamics in fMRI recordings using complex ICA". Pages 1103-1110 in Independent Component Analysis and Blind Signal Separation.
  3. http://www.stats.ox.ac.uk/~marchini/software.html
  4. http://sccn.ucsd.edu/fmrlab/
  5. http://icatb.sourceforge.net/
  6. http://neuro.imm.dtu.dk/software/lyngby/
Personal tools