Literature DB >> 17240167

Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging.

R Salvador1, A Martínez, E Pomarol-Clotet, S Sarró, J Suckling, E Bullmore.   

Abstract

Mutual information tools have been recently applied to quantify the connectivity between brain regions in functional magnetic resonance imaging (fMRI). Here we develop measures of mutual information between clusters of brain regions in the frequency domain. The properties and limitations of the method are exemplified through a single resting state fMRI dataset, and with a comparison involving frontostriatal connections in schizophrenic patients and healthy controls.

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Year:  2007        PMID: 17240167     DOI: 10.1016/j.neuroimage.2006.12.001

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


  36 in total

1.  Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders.

Authors:  Yuan Zhou; Kun Wang; Yong Liu; Ming Song; Sonya W Song; Tianzi Jiang
Journal:  Cogn Neurodyn       Date:  2010-08-03       Impact factor: 5.082

2.  Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.

Authors:  Martijn P van den Heuvel; René C W Mandl; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

3.  Eyes-open/eyes-closed dataset sharing for reproducibility evaluation of resting state fMRI data analysis methods.

Authors:  Dongqiang Liu; Zhangye Dong; Xinian Zuo; Jue Wang; Yufeng Zang
Journal:  Neuroinformatics       Date:  2013-10

Review 4.  Disease and the brain's dark energy.

Authors:  Dongyang Zhang; Marcus E Raichle
Journal:  Nat Rev Neurol       Date:  2010-01       Impact factor: 42.937

5.  Hierarchical functional modularity in the resting-state human brain.

Authors:  Luca Ferrarini; Ilya M Veer; Evelinda Baerends; Marie-José van Tol; Remco J Renken; Nic J A van der Wee; Dirk J Veltman; André Aleman; Frans G Zitman; Brenda W J H Penninx; Mark A van Buchem; Johan H C Reiber; Serge A R B Rombouts; Julien Milles
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

Review 6.  Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia.

Authors:  Yuan Zhou; Lingzhong Fan; Chenxiang Qiu; Tianzi Jiang
Journal:  Neurosci Bull       Date:  2015-03-11       Impact factor: 5.203

7.  Alterations in resting functional connectivity due to recent motor task.

Authors:  Kuang-Chi Tung; Jinsoo Uh; Deng Mao; Feng Xu; Guanghua Xiao; Hanzhang Lu
Journal:  Neuroimage       Date:  2013-04-11       Impact factor: 6.556

Review 8.  What happens after the first episode? A review of progressive brain changes in chronically ill patients with schizophrenia.

Authors:  Hilleke E Hulshoff Pol; René S Kahn
Journal:  Schizophr Bull       Date:  2008-02-17       Impact factor: 9.306

9.  Advances and pitfalls in the analysis and interpretation of resting-state FMRI data.

Authors:  David M Cole; Stephen M Smith; Christian F Beckmann
Journal:  Front Syst Neurosci       Date:  2010-04-06

10.  Clinical applications of resting state functional connectivity.

Authors:  Michael D Fox; Michael Greicius
Journal:  Front Syst Neurosci       Date:  2010-06-17
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