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  Blind spots in functional magnetic resonance imaging

Stelzer, J., Bause, J., Ehses, P., Bazin, P.-L., Scheffler, K., & Lohmann, G. (2017). Blind spots in functional magnetic resonance imaging. In 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017) (pp. 10).

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http://blog.neuromag.net/nena2017.html (Any fulltext)
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 Creators:
Stelzer, J1, 2, Author           
Bause, J1, 2, Author           
Ehses, P1, 2, Author           
Bazin, P-L, Author
Scheffler, K1, 2, Author           
Lohmann, G1, 2, Author           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Are brain functions located in only a few segregated areas, or do they involve widespread parts of the brain? Traditional human fMRI research clearly leans towards small sets of areas that become activated. Recently, however, this view has been challenged and appears to be caused by low power and deficient analysis methods. I will present fMRI
data at 9.4T that has been analyzed with state-of-the-art network analysis methods and compare the results to a 3T dataset, which was analyzed by traditional means. Indeed,
at 9.4T we find that most parts of grey matter reconfigure their connectivity, while we only find a small set of activated regions at 3T. I will discuss the implications of this and other findings in terms of scientific inference.

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 Dates: 2017-10
 Publication Status: Issued
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Title: 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017)
Place of Event: Schramberg, Germany
Start-/End Date: 2017-10-16 - 2017-10-18

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Title: 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 10 Identifier: -