Clustering of dynamic functional connectivity features obtained from functional Magnetic Resonance Imaging data

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) ◽

10.1109/icacci.2015.7275626 ◽

2015 ◽

Author(s):

Vajarala Ashikh ◽

Gopikrishna Deshpande ◽

D Rangaprakash ◽

D. Narayana Dutt

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Dynamic Functional Connectivity

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Classification of cocaine‐dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data

Journal of Neuroscience Research ◽

10.1002/jnr.24421 ◽

2019 ◽

Vol 97 (7) ◽

pp. 790-803 ◽

Author(s):

Unal Sakoglu ◽

Mutlu Mete ◽

John Esquivel ◽

Katya Rubia ◽

Richard Briggs ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Dynamic Functional Connectivity

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Generating Nonlinear Models of Functional Connectivity from Functional Magnetic Resonance Imaging Data with Genetic Programming

2019 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2019.8790120 ◽

2019 ◽

Author(s):

James Alexander Hughes ◽

Mark Daley

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Genetic Programming ◽

Nonlinear Models ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Hippocampus–precuneus functional connectivity as an early sign of Alzheimer's disease: A preliminary study using structural and functional magnetic resonance imaging data

Brain Research ◽

10.1016/j.brainres.2012.12.011 ◽

2013 ◽

Vol 1495 ◽

pp. 18-29 ◽

Author(s):

Junghoe Kim ◽

Yong-Hwan Kim ◽

Jong-Hwan Lee

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Preliminary Study

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Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions

Brain Connectivity ◽

10.1089/brain.2011.0002 ◽

2011 ◽

Vol 1 (1) ◽

pp. 91-98 ◽

Author(s):

Michelle Hampson ◽

Dustin Scheinost ◽

Maolin Qiu ◽

Jitendra Bhawnani ◽

Cheryl M. Lacadie ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Connectivity ◽

Functional Magnetic Resonance Imaging ◽

Supplementary Motor Area ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Subcortical Regions

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SACICA: A sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2013.03.014 ◽

2013 ◽

Vol 216 (1) ◽

pp. 49-61 ◽

Author(s):

Nizhuan Wang ◽

Weiming Zeng ◽

Lei Chen

Keyword(s):

Magnetic Resonance Imaging ◽

Data Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Sparse Approximation ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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EROICA: Exploring regions of interest with cluster analysis in large functional magnetic resonance imaging data sets

Concepts in Magnetic Resonance ◽

10.1002/cmr.a.10053 ◽

2003 ◽

Vol 16A (1) ◽

pp. 50-62 ◽

Author(s):

M. Jarmasz ◽

R.L. Somorjai

Keyword(s):

Magnetic Resonance Imaging ◽

Cluster Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Regions Of Interest ◽

Data Sets ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Improving the sensitivity of cluster‐based statistics for functional magnetic resonance imaging data

Human Brain Mapping ◽

10.1002/hbm.25399 ◽

2021 ◽

Author(s):

Linda Geerligs ◽

Eric Maris

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Functional Magnetic Resonance Imaging Data Augmentation Through Conditional ICA

10.1007/978-3-030-87196-3_46 ◽

2021 ◽

pp. 491-500

Author(s):

Badr Tajini ◽

Hugo Richard ◽

Bertrand Thirion

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Data Augmentation ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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Adaptive denoising technique for robust analysis of functional magnetic resonance imaging data

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2001.1017280 ◽

2005 ◽

Author(s):

B.K. Ouda ◽

B.M. Tawfik ◽

A.-B.M. Youssef ◽

Y.M. Kadah

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data ◽

Robust Analysis ◽

Adaptive Denoising

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Controversy in statistical analysis of functional magnetic resonance imaging data

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1705513114 ◽

2017 ◽

Vol 114 (17) ◽

pp. E3368-E3369 ◽

Author(s):

Emery N. Brown ◽

Marlene Behrmann

Keyword(s):

Magnetic Resonance Imaging ◽

Statistical Analysis ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Imaging Data ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Data

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