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AuthorSynth: a collaboration network and behaviorally-based visualization tool of activation reports from the neuroscience literature.

Sochat VV - Front Neuroinform (2015)

Bottom Line: We present "AuthorSynth," a novel application prototype that includes (1) a collaboration network to identify researchers with similar results reported in the literature; and (2) a 2D plot-"brain lattice"-to visually summarize a single author's contribution to the field, and allow for searching of authors based on behavioral terms.This method capitalizes on intelligent synthesis of the neuroimaging literature, and demonstrates that data-driven approaches can be used to confirm existing collaborations, reveal potential ones, and identify gaps in published knowledge.We believe this tool exemplifies how methods from neuroimaging informatics can better inform researchers about progress and knowledge in the field, and enhance the modern workflow of finding collaborations.

View Article: PubMed Central - PubMed

Affiliation: Graduate Program in Biomedical Informatics, Stanford University Stanford, CA, USA.

ABSTRACT
Targeted collaboration is becoming more challenging with the ever-increasing number of publications, conferences, and academic responsibilities that the modern-day researcher must synthesize. Specifically, the field of neuroimaging had roughly 10,000 new papers in PubMed for the year 2013, presenting tens of thousands of international authors, each a potential collaborator working on some sub-domain in the field. To remove the burden of synthesizing an entire corpus of publications, talks, and conference interactions to find and assess collaborations, we combine meta-analytical neuroimaging informatics methods with machine learning and network analysis toward this goal. We present "AuthorSynth," a novel application prototype that includes (1) a collaboration network to identify researchers with similar results reported in the literature; and (2) a 2D plot-"brain lattice"-to visually summarize a single author's contribution to the field, and allow for searching of authors based on behavioral terms. This method capitalizes on intelligent synthesis of the neuroimaging literature, and demonstrates that data-driven approaches can be used to confirm existing collaborations, reveal potential ones, and identify gaps in published knowledge. We believe this tool exemplifies how methods from neuroimaging informatics can better inform researchers about progress and knowledge in the field, and enhance the modern workflow of finding collaborations.

No MeSH data available.


Related in: MedlinePlus

Summary of methods. We use NeuroSynth to generate a brain map for each author (Author Brain Maps), summarize each author’s contributions (Brain Lattice Visualizations), and then map this data onto a collaboration network (Collaboration Network). We combine these components into an interactive web interface.4
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Figure 1: Summary of methods. We use NeuroSynth to generate a brain map for each author (Author Brain Maps), summarize each author’s contributions (Brain Lattice Visualizations), and then map this data onto a collaboration network (Collaboration Network). We combine these components into an interactive web interface.4

Mentions: AuthorSynth is an interactive web tool to visualize existing and potential collaborations between neuroscience authors. Generation of this tool involved mining of the neuroscience bibliome to generate a brain map for each author (Section Creating Brain Maps to Spatially Summarize Top Contributions in Human Brain), summarizing these maps in a novel two dimensional grid—a “brain lattice”—that links regional activation to behaviorally relevant terms (Section Mapping Author Brain Maps to Psychologically-Relevant Brain Maps), identifying authors with similar published work based on an assessment of these maps (Section Identifying Similar Authors in the Brain Lattice), generating a network of actual collaborations onto which to map this data (Section Generation of Collaboration Network), and finally, combining these components into an interactive web interface (Section The AuthorSynth Web Portal). A summary of our methods is included in Figure 1, and all code to implement our methods2 and the interface itself3 has been made publicly available.


AuthorSynth: a collaboration network and behaviorally-based visualization tool of activation reports from the neuroscience literature.

Sochat VV - Front Neuroinform (2015)

Summary of methods. We use NeuroSynth to generate a brain map for each author (Author Brain Maps), summarize each author’s contributions (Brain Lattice Visualizations), and then map this data onto a collaboration network (Collaboration Network). We combine these components into an interactive web interface.4
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4373276&req=5

Figure 1: Summary of methods. We use NeuroSynth to generate a brain map for each author (Author Brain Maps), summarize each author’s contributions (Brain Lattice Visualizations), and then map this data onto a collaboration network (Collaboration Network). We combine these components into an interactive web interface.4
Mentions: AuthorSynth is an interactive web tool to visualize existing and potential collaborations between neuroscience authors. Generation of this tool involved mining of the neuroscience bibliome to generate a brain map for each author (Section Creating Brain Maps to Spatially Summarize Top Contributions in Human Brain), summarizing these maps in a novel two dimensional grid—a “brain lattice”—that links regional activation to behaviorally relevant terms (Section Mapping Author Brain Maps to Psychologically-Relevant Brain Maps), identifying authors with similar published work based on an assessment of these maps (Section Identifying Similar Authors in the Brain Lattice), generating a network of actual collaborations onto which to map this data (Section Generation of Collaboration Network), and finally, combining these components into an interactive web interface (Section The AuthorSynth Web Portal). A summary of our methods is included in Figure 1, and all code to implement our methods2 and the interface itself3 has been made publicly available.

Bottom Line: We present "AuthorSynth," a novel application prototype that includes (1) a collaboration network to identify researchers with similar results reported in the literature; and (2) a 2D plot-"brain lattice"-to visually summarize a single author's contribution to the field, and allow for searching of authors based on behavioral terms.This method capitalizes on intelligent synthesis of the neuroimaging literature, and demonstrates that data-driven approaches can be used to confirm existing collaborations, reveal potential ones, and identify gaps in published knowledge.We believe this tool exemplifies how methods from neuroimaging informatics can better inform researchers about progress and knowledge in the field, and enhance the modern workflow of finding collaborations.

View Article: PubMed Central - PubMed

Affiliation: Graduate Program in Biomedical Informatics, Stanford University Stanford, CA, USA.

ABSTRACT
Targeted collaboration is becoming more challenging with the ever-increasing number of publications, conferences, and academic responsibilities that the modern-day researcher must synthesize. Specifically, the field of neuroimaging had roughly 10,000 new papers in PubMed for the year 2013, presenting tens of thousands of international authors, each a potential collaborator working on some sub-domain in the field. To remove the burden of synthesizing an entire corpus of publications, talks, and conference interactions to find and assess collaborations, we combine meta-analytical neuroimaging informatics methods with machine learning and network analysis toward this goal. We present "AuthorSynth," a novel application prototype that includes (1) a collaboration network to identify researchers with similar results reported in the literature; and (2) a 2D plot-"brain lattice"-to visually summarize a single author's contribution to the field, and allow for searching of authors based on behavioral terms. This method capitalizes on intelligent synthesis of the neuroimaging literature, and demonstrates that data-driven approaches can be used to confirm existing collaborations, reveal potential ones, and identify gaps in published knowledge. We believe this tool exemplifies how methods from neuroimaging informatics can better inform researchers about progress and knowledge in the field, and enhance the modern workflow of finding collaborations.

No MeSH data available.


Related in: MedlinePlus