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Literature DB >> 21136136

In vivo MR imaging of brain networks: illusion or revolution?

Ewald Moser, Jean-Philippe Ranjeva.

Abstract

Entities: Disease

Mesh：

Year: 2010 PMID： 21136136 DOI： 10.1007/s10334-010-0231-x

Source DB: PubMed Journal: MAGMA ISSN： 0968-5243 Impact factor: 2.310

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30 in total

1. Increased sleep pressure reduces resting state functional connectivity.

Authors: Philipp G Sämann; Carolin Tully; Victor I Spoormaker; Thomas C Wetter; Florian Holsboer; Renate Wehrle; Michael Czisch
Journal: MAGMA Date: 2010-05-15 Impact factor: 2.310

2. Diffusion simulation-based fiber tracking using time-of-arrival maps: a comparison with standard methods.

Authors: Sarah C Mang; Dmitriy Logashenko; Daniel Gembris; Gabriel Wittum; Wolfgang Grodd; Uwe Klose
Journal: MAGMA Date: 2010-01-30 Impact factor: 2.310

3. Group ICA of resting-state data: a comparison.

Authors: Veronika Schöpf; Christian Windischberger; Christian H Kasess; Rupert Lanzenberger; Ewald Moser
Journal: MAGMA Date: 2010-06-03 Impact factor: 2.310

Review 4. Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks.

Authors: Maxime Guye; Gaelle Bettus; Fabrice Bartolomei; Patrick J Cozzone
Journal: MAGMA Date: 2010-03-27 Impact factor: 2.310

Review 5. A historical perspective on the evolution of resting-state functional connectivity with MRI.

Authors: Mark J Lowe
Journal: MAGMA Date: 2010-11-16 Impact factor: 2.310

6. The maturing architecture of the brain's default network.

Authors: Damien A Fair; Alexander L Cohen; Nico U F Dosenbach; Jessica A Church; Francis M Miezin; Deanna M Barch; Marcus E Raichle; Steven E Petersen; Bradley L Schlaggar
Journal: Proc Natl Acad Sci U S A Date: 2008-03-05 Impact factor: 11.205

7. Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies.

Authors: Andreas Weissenbacher; Christian Kasess; Florian Gerstl; Rupert Lanzenberger; Ewald Moser; Christian Windischberger
Journal: Neuroimage Date: 2009-05-13 Impact factor: 6.556

8. Toward discovery science of human brain function.

Authors: Bharat B Biswal; Maarten Mennes; Xi-Nian Zuo; Suril Gohel; Clare Kelly; Steve M Smith; Christian F Beckmann; Jonathan S Adelstein; Randy L Buckner; Stan Colcombe; Anne-Marie Dogonowski; Monique Ernst; Damien Fair; Michelle Hampson; Matthew J Hoptman; James S Hyde; Vesa J Kiviniemi; Rolf Kötter; Shi-Jiang Li; Ching-Po Lin; Mark J Lowe; Clare Mackay; David J Madden; Kristoffer H Madsen; Daniel S Margulies; Helen S Mayberg; Katie McMahon; Christopher S Monk; Stewart H Mostofsky; Bonnie J Nagel; James J Pekar; Scott J Peltier; Steven E Petersen; Valentin Riedl; Serge A R B Rombouts; Bart Rypma; Bradley L Schlaggar; Sein Schmidt; Rachael D Seidler; Greg J Siegle; Christian Sorg; Gao-Jun Teng; Juha Veijola; Arno Villringer; Martin Walter; Lihong Wang; Xu-Chu Weng; Susan Whitfield-Gabrieli; Peter Williamson; Christian Windischberger; Yu-Feng Zang; Hong-Ying Zhang; F Xavier Castellanos; Michael P Milham
Journal: Proc Natl Acad Sci U S A Date: 2010-02-22 Impact factor: 11.205

In vivo MR imaging of brain networks: illusion or revolution?

1. Increased sleep pressure reduces resting state functional connectivity.

2. Diffusion simulation-based fiber tracking using time-of-arrival maps: a comparison with standard methods.

3. Group ICA of resting-state data: a comparison.

Review 4. Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks.

Review 5. A historical perspective on the evolution of resting-state functional connectivity with MRI.

6. The maturing architecture of the brain's default network.

7. Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies.

8. Toward discovery science of human brain function.

9. Fully exploratory network ICA (FENICA) on resting-state fMRI data.

10. Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease.

1. A highly parallelized framework for computationally intensive MR data analysis.

2. Scanning fast and slow: current limitations of 3 Tesla functional MRI and future potential.

3. Fully exploratory network independent component analysis of the 1000 functional connectomes database.