Cortical parcellation based on structural connectivity: A case for generative 
models

Tittgemeyer, Marc; Rigoux, Lionel; Knösche, Thomas R.

doi:10.1016/j.neuroimage.2018.01.077

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Cortical parcellation based on structural connectivity: A case for generative models

Tittgemeyer, M., Rigoux, L., & Knösche, T. R. (2018). Cortical parcellation based on structural connectivity: A case for generative models. NeuroImage, 173, 592-603. doi:10.1016/j.neuroimage.2018.01.077.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-8282-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-09FF-B

Genre: Journal Article

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Creators:
Tittgemeyer, Marc¹, Author
Rigoux, Lionel², Author
Knösche, Thomas R., Author

Affiliations:
1Tittgemeyer – Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Max Planck Society, ou_2149668
2Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2018

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.neuroimage.2018.01.077

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Title: NeuroImage

Source Genre: Journal

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Publ. Info: Orlando, FL : Academic Press

Pages: - Volume / Issue: 173 Sequence Number: - Start / End Page: 592 - 603 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166