Detecting resting-state networks using scalable multi-subject spatial canonical 
correlation analysis

Dähne, Sven; Huntenburg, Julia M.; Babayan, Anahit; Erbey, Miray; Kumral, Deniz; Reinelt, Janis; Reiter, Andrea; Röbbig, Josefin; Schaare, Herma Lina; Margulies, Daniel S.; Müller, Klaus-Robert; Villringer, Arno; Gaebler, Michael

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Detecting resting-state networks using scalable multi-subject spatial canonical correlation analysis

Dähne, S., Huntenburg, J. M., Babayan, A., Erbey, M., Kumral, D., Reinelt, J., et al. (2016). Detecting resting-state networks using scalable multi-subject spatial canonical correlation analysis. Poster presented at 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switzerland.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-5003-E Version Permalink: https://hdl.handle.net/21.11116/0000-0003-5050-8

Genre: Poster

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Creators:
Dähne, Sven¹, Author
Huntenburg, Julia M.², Author
Babayan, Anahit³, Author
Erbey, Miray³, Author
Kumral, Deniz³, Author
Reinelt, Janis³, Author
Reiter, Andrea⁴, Author
Röbbig, Josefin³, Author
Schaare, Herma Lina³, Author
Margulies, Daniel S.², Author
Müller, Klaus-Robert¹, Author
Villringer, Arno³, Author
Gaebler, Michael³, Author

Affiliations:
1External Organizations, ou_persistent22
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549
4Max Planck Fellow Group Cognitive and Affective Control of Behavioural Adaptation, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1753350

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Dates: Created: 2016-06

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Title: 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM)

Place of Event: Geneva, Switzerland

Start-/End Date: 2016-06-26 - 2016-06-30

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