Independent component analysis of functional MRI: what is signal and what is noise? (Q30243293)

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scientific article (publication date: October 2003)

Independent component analysis for fMRI: What is signal and what is noise?

Language	Label	Description	Also known as
English	Independent component analysis of functional MRI: what is signal and what is noise?	scientific article (publication date: October 2003)	Independent component analysis for fMRI: What is signal and what is noise?

Statements

scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

1 reference

Europe PubMed Central

Independent component analysis of functional MRI: what is signal and what is noise? (English)

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

independent component analysis

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functional magnetic resonance imaging

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magnetic resonance imaging

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Lars Kai Hansen

2

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Terrence J. Sejnowski

3

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Martin J. McKeown

object named as

Martin J McKeown

1

0 references

language of work or name

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publication date

1 October 2003

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

number of pages

10

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Current Opinion in Neurobiology

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

13

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

5

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

620-629

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

Plurality and resemblance in fMRI data analysis

1 reference

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Generalizable patterns in neuroimaging: how many principal components?

1 reference

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Imaging Brain Dynamics Using Independent Component Analysis.

1 reference

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Fast and robust fixed-point algorithms for independent component analysis

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The processing of kinetic contours in the brain.

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Activity patterns in human motion-sensitive areas depend on the interpretation of global motion

1 reference

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Deterministic and stochastic features of fMRI data: implications for analysis of event-related experiments

1 reference

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ICA of fMRI group study data

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Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions.

1 reference

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Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms

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Independent component analysis at the neural cocktail party

1 reference

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Spatial mixture modeling of fMRI data

1 reference

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Data mining in brain imaging

1 reference

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Correlator beware: correlation has limited selectivity for fMRI data analysis

1 reference

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Detection of consistently task-related activations in fMRI data with hybrid independent component analysis

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The architecture of the colour centre in the human visual brain: new results and a review

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Dynamical cluster analysis of cortical fMRI activation

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Blind source separation of multiple signal sources of fMRI data sets using independent component analysis

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Analysis of dynamic brain imaging data.

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Event-related fMRI and the hemodynamic response

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Analysis of fMRI data by blind separation into independent spatial components

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Spatially independent activity patterns in functional MRI data during the stroop color-naming task

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Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

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Processing strategies for time-course data sets in functional MRI of the human brain

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Modes or models: a critique on independent component analysis for fMRI

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Identifiers

10.1016/J.CONB.2003.09.012

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

PMC publication ID

0 references

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

27 June 2017

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