Title :
Constructing Human Brain-Function Association Models from fMRI Literature
Author :
Mei-Yu Hsiao ; Der-Yow Chen ; Jyh-Horng Chen
Author_Institution :
Nat. Taiwan Univ., Taipei
Abstract :
Toward the goal of understanding the human brain function, we have developed a web-based human brain functional mapping knowledge base (HBFMKB) system to mining human brain-function association model from vast Medline abstracts. Since nomenclature and relationships among cognitive functions have no consensus yet, we use rule-based natural language processing methods to extract behavioral task and cognitive function and do n-gram approximate concept mapping by the unified medical language system (UMLS) knowledge source. The HBFMKB system has an automatic PubMed MEDLINE download and import system, name entity extraction system and interactive visualization system. In summary, the HBFMKB system helps scientists to get digest knowledge before design experiments and compare their results with current literature.
Keywords :
biomedical MRI; brain models; Medline abstracts; cognitive functions; fMRI literature; human brain functional mapping knowledge base; human brain-function association models; n-gram approximate concept mapping; unified medical language system; web-based HBFMKB; Bioinformatics; Brain modeling; Data mining; Humans; Magnetic resonance imaging; Neuroscience; Proteins; Spatial databases; Text mining; Text recognition; Information extraction; Neuroinformatics; brain-function association model; literature mining; Brain Mapping; Cognition; Databases, Factual; Evoked Potentials; Information Storage and Retrieval; MEDLINE; Magnetic Resonance Imaging; Natural Language Processing; Periodicals as Topic;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352509