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Comparison of multi-subject ICA methods for analysis of fMRI data
Erhardt, Erik Barry, Rachakonda, Srinivas, Bedrick, Edward J., Allen, Elena A., Adali, Tülay, Calhoun, Vince D.
Published in Human brain mapping (01.12.2011)
Published in Human brain mapping (01.12.2011)
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Artifact removal in the context of group ICA: A comparison of single-subject and group approaches
Du, Yuhui, Allen, Elena A., He, Hao, Sui, Jing, Wu, Lei, Calhoun, Vince D.
Published in Human brain mapping (01.03.2016)
Published in Human brain mapping (01.03.2016)
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Clusterwise Independent Component Analysis (C-ICA): An R package for clustering subjects based on ICA patterns underlying three-way (brain) data
Durieux, Jeffrey, Rombouts, Serge, Koini, Marisa, Gonzalez, Juan Claramunt, Wilderjans, Tom
Published in Neurocomputing (Amsterdam) (14.11.2024)
Published in Neurocomputing (Amsterdam) (14.11.2024)
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Correction to “Comparison of multi‐subject ICA methods for analysis of fMRI data”
Published in Human brain mapping
(15.08.2024)
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Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression
Salman, Mustafa S., Du, Yuhui, Lin, Dongdong, Fu, Zening, Fedorov, Alex, Damaraju, Eswar, Sui, Jing, Chen, Jiayu, Mayer, Andrew R., Posse, Stefan, Mathalon, Daniel H., Ford, Judith M., Van Erp, Theodorus, Calhoun, Vince D.
Published in NeuroImage clinical (01.01.2019)
Published in NeuroImage clinical (01.01.2019)
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Hand classification of fMRI ICA noise components
Griffanti, Ludovica, Douaud, Gwenaëlle, Bijsterbosch, Janine, Evangelisti, Stefania, Alfaro-Almagro, Fidel, Glasser, Matthew F., Duff, Eugene P., Fitzgibbon, Sean, Westphal, Robert, Carone, Davide, Beckmann, Christian F., Smith, Stephen M.
Published in NeuroImage (Orlando, Fla.) (01.07.2017)
Published in NeuroImage (Orlando, Fla.) (01.07.2017)
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A group model for stable multi-subject ICA on fMRI datasets
Varoquaux, G., Sadaghiani, S., Pinel, P., Kleinschmidt, A., Poline, J.B., Thirion, B.
Published in NeuroImage (Orlando, Fla.) (15.05.2010)
Published in NeuroImage (Orlando, Fla.) (15.05.2010)
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Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypes
Durieux, Jeffrey, Rombouts, Serge A.R.B., de Vos, Frank, Koini, Marisa, Wilderjans, Tom F.
Published in Journal of neuroscience methods (01.12.2022)
Published in Journal of neuroscience methods (01.12.2022)
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The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA
Vergara, Victor M., Mayer, Andrew R., Damaraju, Eswar, Hutchison, Kent, Calhoun, Vince D.
Published in NeuroImage (Orlando, Fla.) (15.01.2017)
Published in NeuroImage (Orlando, Fla.) (15.01.2017)
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Aberrant Functional Connectivity in the Default Mode and Central Executive Networks in Subjects with Schizophrenia – A Whole-Brain Resting-State ICA Study
Littow, Harri, Huossa, Ville, Karjalainen, Sami, Jääskeläinen, Erika, Haapea, Marianne, Miettunen, Jouko, Tervonen, Osmo, Isohanni, Matti, Nikkinen, Juha, Veijola, Juha, Murray, Graham, Kiviniemi, Vesa J.
Published in Frontiers in psychiatry (26.02.2015)
Published in Frontiers in psychiatry (26.02.2015)
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NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Du, Yuhui, Fu, Zening, Sui, Jing, Gao, Shuang, Xing, Ying, Lin, Dongdong, Salman, Mustafa, Abrol, Anees, Rahaman, Md Abdur, Chen, Jiayu, Hong, L. Elliot, Kochunov, Peter, Osuch, Elizabeth A., Calhoun, Vince D.
Published in NeuroImage clinical (01.01.2020)
Published in NeuroImage clinical (01.01.2020)
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Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data
Glasser, Matthew F., Coalson, Timothy S., Bijsterbosch, Janine D., Harrison, Samuel J., Harms, Michael P., Anticevic, Alan, Van Essen, David C., Smith, Stephen M.
Published in NeuroImage (Orlando, Fla.) (01.11.2018)
Published in NeuroImage (Orlando, Fla.) (01.11.2018)
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ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
Griffanti, Ludovica, Salimi-Khorshidi, Gholamreza, Beckmann, Christian F., Auerbach, Edward J., Douaud, Gwenaëlle, Sexton, Claire E., Zsoldos, Enikő, Ebmeier, Klaus P., Filippini, Nicola, Mackay, Clare E., Moeller, Steen, Xu, Junqian, Yacoub, Essa, Baselli, Giuseppe, Ugurbil, Kamil, Miller, Karla L., Smith, Stephen M.
Published in NeuroImage (Orlando, Fla.) (15.07.2014)
Published in NeuroImage (Orlando, Fla.) (15.07.2014)
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Optimizing Preprocessing and Analysis Pipelines for Single-Subject fMRI: 2. Interactions with ICA, PCA, Task Contrast and Inter-Subject Heterogeneity
Churchill, Nathan W., Yourganov, Grigori, Oder, Anita, Tam, Fred, Graham, Simon J., Strother, Stephen C.
Published in PloS one (27.02.2012)
Published in PloS one (27.02.2012)
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