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  Preserving maximal spatial specificity in resting state group analysis at 7 tesla

Jäger, A.-T., Huntenburg, J. M., Tardif, C., Gauthier, C., Villringer, A., Steele, C., et al. (2018). Preserving maximal spatial specificity in resting state group analysis at 7 tesla. Poster presented at Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-D123-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-627E-0
Genre: Poster

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ISMRM_poster_2018_odp_version_3.pdf (Supplementary material), 4MB
 
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 Creators:
Jäger, Anna-Thekla1, Author              
Huntenburg, Julia M.2, Author              
Tardif, Christine1, Author              
Gauthier, Claudine1, Author              
Villringer, Arno1, Author              
Steele, Christopher1, Author              
Bazin, Pierre-Louis1, Author              
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1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              

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 Abstract: Most studies use standard software pipelines for processing and analyzing fMRI data. These pipelines were designed to work with data from 3 Tesla scanners. With more widespread availability of ultra-high field MRI scanners, new processing techniques need to be applied to address the unique demands of high resolution data and to fully take advantage of the high spatial specificity. Here, we propose a novel approach for processing and analysing high resolution resting state fMRI data.

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 Dates: 2018-06-20
 Publication Status: Not specified
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Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Place of Event: Paris, France
Start-/End Date: 2018-06-16 - 2018-06-20

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