Literature DB >> 12814594

A report of the functional connectivity workshop, Dusseldorf 2002.

Lucy Lee1, Lee M Harrison, Andrea Mechelli.   

Abstract

This report provides a commentary on the issues presented and discussed at the recent "Functional Brain Connectivity" workshop, held in Dusseldorf, Germany. The workshop brought together researchers using different approaches to study connectivity in the brain, providing them with an opportunity to share conceptual, mathematical, and experimental ideas and to develop strategies and collaborations for future work on functional integration. The main themes that emerged included: (1) the importance of anatomical knowledge in understanding functional interactions the brain; (2) the need to establish common definitions for terms used across disciplines; (3) the need to develop a satisfactory framework for inferring causality from functional imaging and EEG/MEG data; (4) the importance of analytic tools that capture the dynamics of neural interactions; and (5) the role of experimental paradigms that exploit the functional imaging of perturbations to cortical interactions.

Entities:  

Mesh:

Year:  2003        PMID: 12814594     DOI: 10.1016/s1053-8119(03)00062-4

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  61 in total

1.  Enhancement of GABA-related signalling is associated with increase of functional connectivity in human cortex.

Authors:  Andrew A Fingelkurts; Alexander A Fingelkurts; Reetta Kivisaari; Eero Pekkonen; Risto J Ilmoniemi; Seppo Kähkönen
Journal:  Hum Brain Mapp       Date:  2004-05       Impact factor: 5.038

2.  Investigating the neural basis for functional and effective connectivity. Application to fMRI.

Authors:  Barry Horwitz; Brent Warner; Julie Fitzer; M-A Tagamets; Fatima T Husain; Theresa W Long
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

3.  Introduction: multimodal neuroimaging of brain connectivity.

Authors:  Pedro A Valdés-Sosa; Rolf Kötter; Karl J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

4.  Estimating brain functional connectivity with sparse multivariate autoregression.

Authors:  Pedro A Valdés-Sosa; Jose M Sánchez-Bornot; Agustín Lage-Castellanos; Mayrim Vega-Hernández; Jorge Bosch-Bayard; Lester Melie-García; Erick Canales-Rodríguez
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

5.  A method for using blocked and event-related fMRI data to study "resting state" functional connectivity.

Authors:  Damien A Fair; Bradley L Schlaggar; Alexander L Cohen; Francis M Miezin; Nico U F Dosenbach; Kristin K Wenger; Michael D Fox; Abraham Z Snyder; Marcus E Raichle; Steven E Petersen
Journal:  Neuroimage       Date:  2007-01-18       Impact factor: 6.556

6.  Testing effective connectivity changes with structural equation modeling: what does a bad model tell us?

Authors:  Andrea B Protzner; Anthony R McIntosh
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

7.  Functional connectivity estimation in fMRI data: influence of preprocessing and time course selection.

Authors:  Maria Gavrilescu; Geoffrey W Stuart; Susan Rossell; Katherine Henshall; Colette McKay; Alex A Sergejew; David Copolov; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2008-09       Impact factor: 5.038

Review 8.  Understanding brain networks and brain organization.

Authors:  Luiz Pessoa
Journal:  Phys Life Rev       Date:  2014-04-18       Impact factor: 11.025

9.  Estimation of time-varying connectivity patterns through the use of an adaptive directed transfer function.

Authors:  Christopher Wilke; Lei Ding; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

Review 10.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

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