ICA of fMRI studies: new approaches and cutting edge applications

151.2K

views

104

authors

20

articles

ICA of fMRI studies: new approaches and cutting edge applications

151.2K

views

104

authors

20

articles

Editorial

28 October 2013

ICA of fMRI Studies: New Approaches and Cutting Edge Applications

Simon Daniel Robinson

and

Veronika Schöpf

5,450 views

9 citations

Editors

2

Veronika Schöpf

University of Graz

Simon Daniel Robinson

Medical University of Vienna

Impact

Fetching...

About

Independent Component Analysis (ICA) is the most commonly used and most diversely applicable exploratory method for the analysis of functional Magnetic Resonance Imaging (fMRI) data. Over the last ten years it has offered a wealth of insights into brain function during task execution and in the resting state.

ICA is a blind source separation method that was originally applied to identify technical and physiological artifacts and allow their removal prior to analysis with model-based approaches. It has matured into a method capable of offering a stand-alone assessment of activation on a sound statistical footing. Recent innovations have taken on the complex challenges of how components should be combined over subjects to allow group inferences, and how activation identified with ICA might be compared between groups – of patients and controls - for instance. Having proved its worth in the investigation of resting state networks, ICA is being applied in other cutting edge uses of fMRI; in multivariate pattern analysis, real-time fMRI, in utero studies and a wide variety of paradigms and stimulus types and with challenging tasks with patients at ultra-high field. These are testament both to ICA’s flexibility and its central role in basic neuroscience and clinical applications of fMRI.

The goal of this Research Topic is to unite contributions from researchers developing ICA methods, and tools based on ICA, and those focused on applying them in new contexts. We solicit original research articles and reviews of aspects not considered elsewhere. While focusing on work in the neurosciences, this Research Topic also welcomes contributions in the form of methodological innovations, computational approaches, developmental and patient studies. We hope that collecting a group of papers on this Research Topic will help provide an overview of the state of the art as well as opening a forum for discussion of the exciting new opportunities offered by ICA across scientific disciplines.

Download ebook

PDF

EPUB

Share

Editors

Veronika Schöpf

University of Graz

Simon Daniel Robinson

Medical University of Vienna

Impact

151,167 Total views

112,285 Article views

32,733 Article downloads

6,149 Topic views

Published In

Frontiers in Human Neuroscience

Human Neuroscience Archive, Brain Imaging and Stimulation, Brain Health and Clinical Neuroscience

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic