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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

The AuthorSynth Web Interface. The user can enter AuthorSynth to explore the data through a behaviorally-based brain lattice (“Brain Lattice,” top left), or through a collaboration network (“Collaboration Network,” bottom left). Investigation of a single author (“Single Author View”) from the network or as a high match in the brain lattice provides a single author brain lattice (“Author Brain Lattice”), a ranked list of authors with similar brain maps (“Collaborator Matches”), activation coordinates provided by the NeuroSynth database used to derive the brain maps (“Activation Coordinates”), alongside the papers from which they were derived (“Publications”). Red circles in the list indicate actual collaborations, and “hot” spots in the brain lattice indicate published work similar to those behavioral terms in the map. This visualization is intended to provide a high level view—for a detailed review please visit.6
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Figure 2: The AuthorSynth Web Interface. The user can enter AuthorSynth to explore the data through a behaviorally-based brain lattice (“Brain Lattice,” top left), or through a collaboration network (“Collaboration Network,” bottom left). Investigation of a single author (“Single Author View”) from the network or as a high match in the brain lattice provides a single author brain lattice (“Author Brain Lattice”), a ranked list of authors with similar brain maps (“Collaborator Matches”), activation coordinates provided by the NeuroSynth database used to derive the brain maps (“Activation Coordinates”), alongside the papers from which they were derived (“Publications”). Red circles in the list indicate actual collaborations, and “hot” spots in the brain lattice indicate published work similar to those behavioral terms in the map. This visualization is intended to provide a high level view—for a detailed review please visit.6

Mentions: We generated a brain map for each of the 3,838 PIs in the NeuroSynth database. The activation coordinates that were used to generate a single author brain map are shown alongside a subset of papers from which they are derived in Figure 2.


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

Sochat VV - Front Neuroinform (2015)

The AuthorSynth Web Interface. The user can enter AuthorSynth to explore the data through a behaviorally-based brain lattice (“Brain Lattice,” top left), or through a collaboration network (“Collaboration Network,” bottom left). Investigation of a single author (“Single Author View”) from the network or as a high match in the brain lattice provides a single author brain lattice (“Author Brain Lattice”), a ranked list of authors with similar brain maps (“Collaborator Matches”), activation coordinates provided by the NeuroSynth database used to derive the brain maps (“Activation Coordinates”), alongside the papers from which they were derived (“Publications”). Red circles in the list indicate actual collaborations, and “hot” spots in the brain lattice indicate published work similar to those behavioral terms in the map. This visualization is intended to provide a high level view—for a detailed review please visit.6
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 2: The AuthorSynth Web Interface. The user can enter AuthorSynth to explore the data through a behaviorally-based brain lattice (“Brain Lattice,” top left), or through a collaboration network (“Collaboration Network,” bottom left). Investigation of a single author (“Single Author View”) from the network or as a high match in the brain lattice provides a single author brain lattice (“Author Brain Lattice”), a ranked list of authors with similar brain maps (“Collaborator Matches”), activation coordinates provided by the NeuroSynth database used to derive the brain maps (“Activation Coordinates”), alongside the papers from which they were derived (“Publications”). Red circles in the list indicate actual collaborations, and “hot” spots in the brain lattice indicate published work similar to those behavioral terms in the map. This visualization is intended to provide a high level view—for a detailed review please visit.6
Mentions: We generated a brain map for each of the 3,838 PIs in the NeuroSynth database. The activation coordinates that were used to generate a single author brain map are shown alongside a subset of papers from which they are derived in Figure 2.

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