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Optimal approaches to analyzing functional MRI data in glioma patients
Ki Yun Park
,
Joshua S. Shimony
, Satrajit Chakrabarty
, Aaron B. Tanenbaum
, Carl D. Hacker
, Kara M. Donovan
,
Patrick H. Luckett
,
Mikhail Milchenko
,
Aristeidis Sotiras
,
Daniel S. Marcus
,
Eric C. Leuthardt
,
Abraham Z. Snyder
Section of Neuroradiology
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Neurosciences
Institute of Clinical and Translational Sciences (ICTS)
Brain Tumor Center
Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs)
Intellectual and Developmental Disabilities Research Center (IDDRC)
Neuroimaging Labs Research Center
Siteman Cancer Center
Computational Imaging Research Center
DBBS - Biomedical Informatics and Data Science
Institute for Informatics, Data Science and Biostatistics (I2DB)
Center for Applied Health Informatics (CAHI)
Division of Radiological Sciences
DBBS - Cancer Biology
Department of Neurosurgery
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Keyphrases
Parcellation
100%
Functional MRI Data
100%
Glioma Patients
100%
Glioma
60%
Graph Measures
40%
Atlas Registration
40%
Analytical Approach
40%
Age-matched
20%
Network Change
20%
Resting-state Functional Magnetic Resonance Imaging (rs-fMRI)
20%
Functional Connectivity
20%
Functional Organization
20%
FMRI Analysis
20%
Functional Connectome
20%
Functional Networks
20%
Preprocessing Techniques
20%
Granularity
20%
Brain Connectivity Analysis
20%
Systematic Comparison
20%
Graph-theoretic Measures
20%
Affine Registration
20%
Graph Density
20%
Technical Optimization
20%
N-163
20%
Neuroscience
Functional Magnetic Resonance Imaging
100%
Functional Connectivity
66%