Classification of ADHD in children using graph theoretic features derived from 
resting state fMRI

Schäfer, Alexander; Margulies, Daniel S.; Villringer, Arno; Craddock, Cameron; Lohmann, Gabriele

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Classification of ADHD in children using graph theoretic features derived from resting state fMRI

Schäfer, A., Margulies, D. S., Villringer, A., Craddock, C., & Lohmann, G. (2011). Classification of ADHD in children using graph theoretic features derived from resting state fMRI. Poster presented at Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Leipzig, Germany.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0012-2645-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-C69F-D

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Creators:
Schäfer, Alexander¹, Author
Margulies, Daniel S.¹, Author
Villringer, Arno¹, Author
Craddock, Cameron, Author
Lohmann, Gabriele², Author

Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549
2Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550

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Dates: Created: 2011-10

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Title: Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB)

Place of Event: Leipzig, Germany

Start-/End Date: 2011-10-06 - 2011-10-07

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