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A unified framework for group independent component analysis for multi-subject fMRI data
scientific article
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instance of
scholarly article
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
title
A unified framework for group independent component analysis for multi-subject fMRI data
(English)
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
main subject
independent component analysis
1 reference
based on heuristic
inferred from title
author
Giuseppe Pagnoni
object named as
Giuseppe Pagnoni
series ordinal
2
0 references
author name string
Ying Guo
series ordinal
1
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
language of work or name
English
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publication date
16 May 2008
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
number of pages
16
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inferred from page(s)
published in
NeuroImage
1 reference
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Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
volume
42
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stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
page(s)
1078-1093
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
issue
3
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
cites work
Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorder
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21 June 2018
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21 June 2018
Unmixing fMRI with independent component analysis
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PubMed Central
reference URL
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21 June 2018
Source density-driven independent component analysis approach for fMRI data
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PubMed Central
reference URL
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retrieved
21 June 2018
A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks
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21 June 2018
Probabilistic independent component analysis for functional magnetic resonance imaging
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21 June 2018
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21 June 2018
ICA of fMRI group study data
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PubMed Central
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21 June 2018
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Searching for a baseline: functional imaging and the resting human brain
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21 June 2018
A method for making group inferences from functional MRI data using independent component analysis
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PubMed Central
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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 fMRI data by blind separation into independent spatial components
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Fast and precise independent component analysis for high field fMRI time series tailored using prior information on spatiotemporal structure
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reference URL
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retrieved
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based on heuristic
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Identifiers
DOI
10.1016/J.NEUROIMAGE.2008.05.008
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
DBLP publication ID
journals/neuroimage/GuoP08
1 reference
stated in
DBLP Dataset 2021-01-02
retrieved
28 January 2021
PMCID
2853771
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
PubMed ID
18650105
1 reference
stated in
Europe PubMed Central
PMCID
2853771
retrieved
16 September 2017
ResearchGate publication ID
51423707
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