English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  ‘‘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.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-F881-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-8D19-3
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Lohmann, Gabriele1, Author              
Stelzer, Johannes1, Author              
Neumann, Jane2, 3, Author              
Ay, Nihat4, 5, Author
Turner, Robert1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_persistent22              
4Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany, ou_persistent22              
5Santa Fe Institute, NM, USA, ou_persistent22              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2013-04-012013-04-052013-06-17
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1089/brain.2012.0133
PMID: 23402339
Other: Epub 2013
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Brain Connectivity
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Mary Ann Liebert
Pages: - Volume / Issue: 3 (3) Sequence Number: - Start / End Page: 223 - 239 Identifier: Other: 2158-0022
CoNE: /journals/resource/2158-0022