A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation
Identifieur interne : 000267 ( Main/Curation ); précédent : 000266; suivant : 000268A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation
Auteurs : Puiu F. Balan ; Annelies Gerits ; Wim VanduffelSource :
- Frontiers in Systems Neuroscience [ 1662-5137 ] ; 2014.
Abstract
The exponential growth in publications represents a major challenge for researchers. Many scientific domains, including neuroscience, are not yet fully engaged in exploiting large bodies of publications. In this paper, we promote the idea to partially automate the processing of scientific documents, specifically using text mining (TM), to efficiently review big corpora of publications. The “cognitive advantage” given by TM is mainly related to the automatic extraction of relevant trends from corpora of literature, otherwise impossible to analyze in short periods of time. Specifically, the benefits of TM are increased speed, quality and reproducibility of text processing, boosted by rapid updates of the results. First, we selected a set of TM-tools that allow user-friendly approaches of the scientific literature, and which could serve as a guide for researchers willing to incorporate TM in their work. Second, we used these TM-tools to obtain basic insights into the relevant literature on cognitive rehabilitation (CR) and cognitive enhancement (CE) using transcranial magnetic stimulation (TMS). TM readily extracted the diversity of TMS applications in CR and CE from vast corpora of publications, automatically retrieving trends already described in published reviews. TMS emerged as one of the important non-invasive tools that can both improve cognitive and motor functions in numerous neurological diseases and induce modulations/enhancements of many fundamental brain functions. TM also revealed trends in big corpora of publications by extracting occurrence frequency and relationships of particular subtopics. Moreover, we showed that CR and CE share research topics, both aiming to increase the brain's capacity to process information, thus supporting their integration in a larger perspective. Methodologically, despite limitations of a simple user-friendly approach, TM served well the reviewing process.
Url:
DOI: 10.3389/fnsys.2014.00182
PubMed: 25309356
PubMed Central: 4176459
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Balan</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Gerits, Annelies" sort="Gerits, Annelies" uniqKey="Gerits A" first="Annelies" last="Gerits">Annelies Gerits</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Vanduffel, Wim" sort="Vanduffel, Wim" uniqKey="Vanduffel W" first="Wim" last="Vanduffel">Wim Vanduffel</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation><affiliation><nlm:aff id="aff3"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25309356</idno><idno type="pmc">4176459</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176459</idno><idno type="RBID">PMC:4176459</idno><idno type="doi">10.3389/fnsys.2014.00182</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000466</idno><idno type="wicri:Area/Pmc/Curation">000466</idno><idno type="wicri:Area/Pmc/Checkpoint">000229</idno><idno type="wicri:Area/Ncbi/Merge">000264</idno><idno type="wicri:Area/Ncbi/Curation">000264</idno><idno type="wicri:Area/Ncbi/Checkpoint">000264</idno><idno type="wicri:Area/Main/Merge">000267</idno><idno type="wicri:Area/Main/Curation">000267</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation</title><author><name sortKey="Balan, Puiu F" sort="Balan, Puiu F" uniqKey="Balan P" first="Puiu F." last="Balan">Puiu F. Balan</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Gerits, Annelies" sort="Gerits, Annelies" uniqKey="Gerits A" first="Annelies" last="Gerits">Annelies Gerits</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Vanduffel, Wim" sort="Vanduffel, Wim" uniqKey="Vanduffel W" first="Wim" last="Vanduffel">Wim Vanduffel</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation><affiliation><nlm:aff id="aff3"></nlm:aff></affiliation></author></analytic><series><title level="j">Frontiers in Systems Neuroscience</title><idno type="eISSN">1662-5137</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The exponential growth in publications represents a major challenge for researchers. Many scientific domains, including neuroscience, are not yet fully engaged in exploiting large bodies of publications. In this paper, we promote the idea to partially automate the processing of scientific documents, specifically using text mining (TM), to efficiently review big corpora of publications. The “cognitive advantage” given by TM is mainly related to the automatic extraction of relevant trends from corpora of literature, otherwise impossible to analyze in short periods of time. Specifically, the benefits of TM are increased speed, quality and reproducibility of text processing, boosted by rapid updates of the results. First, we selected a set of TM-tools that allow user-friendly approaches of the scientific literature, and which could serve as a guide for researchers willing to incorporate TM in their work. Second, we used these TM-tools to obtain basic insights into the relevant literature on cognitive rehabilitation (CR) and cognitive enhancement (CE) using transcranial magnetic stimulation (TMS). TM readily extracted the diversity of TMS applications in CR and CE from vast corpora of publications, automatically retrieving trends already described in published reviews. TMS emerged as one of the important non-invasive tools that can both improve cognitive and motor functions in numerous neurological diseases and induce modulations/enhancements of many fundamental brain functions. TM also revealed trends in big corpora of publications by extracting occurrence frequency and relationships of particular subtopics. Moreover, we showed that CR and CE share research topics, both aiming to increase the brain's capacity to process information, thus supporting their integration in a larger perspective. Methodologically, despite limitations of a simple user-friendly approach, TM served well the reviewing process.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Akil, H" uniqKey="Akil H">H. Akil</name></author><author><name sortKey="Martone, M E" uniqKey="Martone M">M. E. Martone</name></author><author><name sortKey="Van Essen, D C" uniqKey="Van Essen D">D. C. Van Essen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alfred, R" uniqKey="Alfred R">R. Alfred</name></author><author><name sortKey="Razali, M" uniqKey="Razali M">M. Razali</name></author><author><name sortKey="Alias, S" uniqKey="Alias S">S. Alias</name></author><author><name sortKey="On, C" uniqKey="On C">C. On</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Baruth, J M" uniqKey="Baruth J">J. M. Baruth</name></author><author><name sortKey="Casanova, M F" uniqKey="Casanova M">M. F. 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