Decoding gender dimorphism of the human brain using multimodal anatomical and 
diffusion MRI data

Feis, Delia-Lisa; Brodersen, Kay H.; von Cramon, D. Yves; Luders, Eileen; Tittgemeyer, Marc

doi:10.1016/j.neuroimage.2012.12.068

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Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data

Feis, D.-L., Brodersen, K. H., von Cramon, D. Y., Luders, E., & Tittgemeyer, M. (2013). Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage, 70, 250-257. doi:10.1016/j.neuroimage.2012.12.068.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-D397-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-15BB-9

Genre: Journal Article

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Creators:
Feis, Delia-Lisa¹, Author
Brodersen, Kay H.², Author
von Cramon, D. Yves³, Author
Luders, Eileen², Author
Tittgemeyer, Marc⁴, Author

Affiliations:
1Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149668
2a Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Wilfriedstrasse 6, 8032 Zurich, Switzerland b Department of Computer Science, ETH Zurich, Universitaetstrasse 6, 8092 Zurich, Switzerland c Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States, ou_persistent22
3Von Cramon-Literatur, Max-Planck-Institut für neurologische Forschung, Managing Director: D. Yves von Cramon, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149664
4Tittgemeyer – Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Max Planck Society, ou_2149668

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Language(s): eng - English

Dates: Date issued: 2013

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 631111
DOI: 10.1016/j.neuroimage.2012.12.068

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Title: NeuroImage

Source Genre: Journal

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Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: 250 - 257 Identifier: ISSN: 10538119