"More is different" in functional magnetic resonance imaging: a review of recent data analysis techniques

Brain Connectivity
Gabriele LohmannRobert Turner

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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Citations

Jul 8, 2014·Brain Connectivity·Robert Turner, Stefan Geyer
Nov 16, 2013·Trends in Cognitive Sciences·Martijn P van den Heuvel, Olaf Sporns
Jul 7, 2015·Psychiatry Research·Isabel García-GarcíaJane Neumann
Jul 30, 2014·Frontiers in Human Neuroscience·Johannes StelzerRobert Turner
May 12, 2016·Neuroscience and Biobehavioral Reviews·I García-GarcíaJ Neumann
Feb 4, 2016·The Lancet. Diabetes & Endocrinology·Haiko SchlöglMichael Stumvoll
Apr 1, 2015·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Olaf Sporns
Nov 29, 2016·Frontiers in Neuroscience·José M SoaresNuno Sousa

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Methods Mentioned

BETA
PCA

Software Mentioned

MVPA
DeclareMathSizes
BrainMap
FastICA
InfoMax

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