English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Connectivity concordance mapping: A new tool for model-free analysis of fMRI data of the human brain

Lohmann, G., Ovadia-Caro, S., Jungehülsing, G. J., Margulies, D. S., Villringer, A., & Turner, R. (2012). Connectivity concordance mapping: A new tool for model-free analysis of fMRI data of the human brain. Frontiers in Systems Neuroscience, 6: 13. doi:10.3389/fnsys.2012.00013.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-515A-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-5C11-2
Genre: Journal Article

Files

show Files
hide Files
:
Lohmann_2012_Connectivity.pdf (Publisher version), 2MB
Name:
Lohmann_2012_Connectivity.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Lohmann, Gabriele1, Author              
Ovadia-Caro, Smadar2, Author
Jungehülsing, Gerhard Jan3, Author
Margulies, Daniel S.2, 4, Author              
Villringer, Arno2, 3, 5, Author              
Turner, Robert1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
3Center for Stroke Research, Charité University Medicine Berlin, Germany, ou_persistent22              
4Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

Content

show
hide
Free keywords: Connectivity; Resting state
 Abstract: Functional magnetic resonance data acquired in a task-absent condition (“resting state”) require new data analysis techniques that do not depend on an activation model. Here, we propose a new analysis method called Connectivity Concordance Mapping (CCM). The main idea is to assign a label to each voxel based on the reproducibility of its whole-brain pattern of connectivity. Specifically, we compute the correlations of time courses of each voxel with every other voxel for each measurement. Voxels whose correlation pattern is consistent across measurements receive high values. The result of a CCM analysis is thus a voxel-wise map of concordance values. Regions of high inter-subject concordance can be assumed to be functionally consistent, and may thus be of specific interest for further analysis. Here we present two fMRI studies to demonstrate the possible applications of the algorithm. The first is a eyes-open/eyes-closed paradigm designed to highlight the potential of the method in a relatively simple domain. The second study is a longitudinal repeated measurement of a patient following stroke. Longitudinal clinical studies such as this may represent the most interesting domain of applications for this algorithm.

Details

show
hide
Language(s): eng - English
 Dates: 2011-11-152012-02-292012-03-20
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnsys.2012.00013
PMID: 22470320
PMC: PMC3308143
Other: eCollection 2012
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Frontiers in Systems Neuroscience
  Abbreviation : Front Syst Neurosci
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 6 Sequence Number: 13 Start / End Page: - Identifier: ISSN: 1662-5137
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5137