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  "More Is Different" in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques

Lohmann, G., Stelzer, J., Neumann, J., Ay, N., & Turner, R. (2013). "More Is Different" in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques. Brain Connectivity, 3(3), 223-239. doi:10.1089/brain.2012.0133.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-14EB-C Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3F14-3
Genre: Journal Article

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Lohmann, G1, Author              
Stelzer, J1, Author              
Neumann, J, Author
Ay, N, Author
Turner, R, Author
Affiliations:
1Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, ou_persistent22              

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 Abstract: Two aspects play a key role in recently developed strategies for functional magnetic resonance imaging (fMRI) data analysis: first, it is now recognized that the human brain is a complex adaptive system and exhibits the hallmarks of complexity such as emergence of patterns arising out of a multitude of interactions between its many constituents. Second, the field of fMRI has evolved into a data-intensive, big data endeavor with large databases and masses of data being shared around the world. At the same time, ultra-high field MRI scanners are now available producing data at previously unobtainable quality and quantity. Both aspects have led to shifts in the way in which we view fMRI data. Here, we review recent developments in fMRI data analysis methodology that resulted from these shifts in paradigm.

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 Dates: 2013-06
 Publication Status: Published in print
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 Identifiers: DOI: 10.1089/brain.2012.0133
BibTex Citekey: LohmannSNAT2013
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Title: Brain Connectivity
Source Genre: Journal
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Pages: - Volume / Issue: 3 (3) Sequence Number: - Start / End Page: 223 - 239 Identifier: -