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IClinfMRI Software for Integrating Functional MRI Techniques in Presurgical Mapping and Clinical Studies

Overview of attention for article published in Frontiers in Neuroinformatics, March 2018
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Title
IClinfMRI Software for Integrating Functional MRI Techniques in Presurgical Mapping and Clinical Studies
Published in
Frontiers in Neuroinformatics, March 2018
DOI 10.3389/fninf.2018.00011
Pubmed ID
Authors

Ai-Ling Hsu, Ping Hou, Jason M. Johnson, Changwei W. Wu, Kyle R. Noll, Sujit S. Prabhu, Sherise D. Ferguson, Vinodh A. Kumar, Donald F. Schomer, John D. Hazle, Jyh-Horng Chen, Ho-Ling Liu

Abstract

Task-evoked and resting-state (rs) functional magnetic resonance imaging (fMRI) techniques have been applied to the clinical management of neurological diseases, exemplified by presurgical localization of eloquent cortex, to assist neurosurgeons in maximizing resection while preserving brain functions. In addition, recent studies have recommended incorporating cerebrovascular reactivity (CVR) imaging into clinical fMRI to evaluate the risk of lesion-induced neurovascular uncoupling (NVU). Although each of these imaging techniques possesses its own advantage for presurgical mapping, a specialized clinical software that integrates the three complementary techniques and promptly outputs the analyzed results to radiology and surgical navigation systems in a clinical format is still lacking. We developed the Integrated fMRI for Clinical Research (IClinfMRI) software to facilitate these needs. Beyond the independent processing of task-fMRI, rs-fMRI, and CVR mapping, IClinfMRI encompasses three unique functions: (1) supporting the interactive rs-fMRI mapping while visualizing task-fMRI results (or results from published meta-analysis) as a guidance map, (2) indicating/visualizing the NVU potential on analyzed fMRI maps, and (3) exporting these advanced mapping results in a Digital Imaging and Communications in Medicine (DICOM) format that are ready to export to a picture archiving and communication system (PACS) and a surgical navigation system. In summary, IClinfMRI has the merits of efficiently translating and integrating state-of-the-art imaging techniques for presurgical functional mapping and clinical fMRI studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Student > Bachelor 3 11%
Professor > Associate Professor 3 11%
Student > Postgraduate 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 9 33%
Readers by discipline Count As %
Medicine and Dentistry 6 22%
Neuroscience 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Psychology 2 7%
Energy 1 4%
Other 2 7%
Unknown 11 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Frontiers in Neuroinformatics
#683
of 753 outputs
Outputs of similar age
#293,633
of 332,340 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#18
of 18 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 753 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.