Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective.
A variety of exciting scientific achievements have been made in the last few decades in brain encoding and decoding via functional magnetic resonance imaging (fMRI). This trend continues to rise in recent years, as evidenced by the increasing number of published papers in this topic and several publ...
| Publicado en: | Brain Imaging & Behavior Vol. 8; no. 1; pp. 7 - 24 |
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| Autores principales: | , , , , , |
| Formato: | research review Journal Article |
| Publicado: |
Springer Nature
Mar2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104026852&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104026852 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Mar2014 vid: 8 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104026852 NLM23793982 2012481137 10.1007/s11682-013-9238-z NLM23793982 PMC4245050 104026852 ppf: 7 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective. aug: au: Chen, Mo Han, Junwei Hu, Xintao Jiang, Xi Guo, Lei Liu, Tianming affil: School of Automation, Northwestern Polytechnical University, Xi'an, China. sug: subj: Brain Physiology Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Visual Perception Brain Mapping Methods Neuroradiography Methods ab: A variety of exciting scientific achievements have been made in the last few decades in brain encoding and decoding via functional magnetic resonance imaging (fMRI). This trend continues to rise in recent years, as evidenced by the increasing number of published papers in this topic and several published survey papers addressing different aspects of research issues. Essentially, these survey articles were mainly from cognitive neuroscience and neuroimaging perspectives, although computational challenges were briefly discussed. To complement existing survey articles, this paper focuses on the survey of the variety of image analysis methodologies, such as neuroimage registration, fMRI signal analysis, ROI (regions of interest) selection, machine learning algorithms, reproducibility analysis, structural and functional connectivity, and natural image analysis, which were employed in previous brain encoding/decoding research works. This paper also provides discussions of potential limitations of those image analysis methodologies and possible future improvements. It is hoped that extensive discussions of image analysis issues could contribute to the advancements of the increasingly important brain encoding/decoding field. pubtype: Academic Journal doctype: research review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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