Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108324
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dongha | - |
dc.contributor.author | Yun, Sungjae | - |
dc.contributor.author | Jang, Changwon | - |
dc.contributor.author | Park, Hae-Jeong | - |
dc.date.accessioned | 2023-08-24T09:44:50Z | - |
dc.date.available | 2023-08-24T09:44:50Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1932-6203 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/108324 | - |
dc.description.abstract | This study proposes a method for classifying event-related fMRI responses in a specialized setting of many known but few unknown stimuli presented in a rapid event-related design. Compared to block design fMRI signals, classification of the response to a single or a few stimulus trial(s) is not a trivial problem due to contamination by preceding events as well as the low signal-to-noise ratio. To overcome such problems, we proposed a single trial-based classification method of rapid event-related fMRI signals utilizing sparse multivariate Bayesian decoding of spatio-temporal fMRI responses. We applied the proposed method to classification of memory retrieval processes for two different classes of episodic memories: a voluntarily conducted experience and a passive experience induced by watching a video of others' actions. A cross-validation showed higher classification performance of the proposed method compared to that of a support vector machine or of a classifier based on the general linear model. Evaluation of classification performances for one, two, and three stimuli from the same class and a correlation analysis between classification accuracy and target stimulus positions among trials suggest that presenting two target stimuli at longer inter-stimulus intervals is optimal in the design of classification experiments to identify the target stimuli. The proposed method for decoding subject-specific memory retrieval of voluntary behavior using fMRI would be useful in forensic applications in a natural environment, where many known trials can be extracted from a simulation of everyday tasks and few target stimuli from a crime scene. | pt |
dc.language.iso | eng | pt |
dc.publisher | Public Library of Science | pt |
dc.relation | grant from National Research Foundation of Korea (NRF), funded by the Korean government (MSIP) (No. 2014R1A2A1A10052762 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject.mesh | Activities of Daily Living | pt |
dc.subject.mesh | Algorithms | pt |
dc.subject.mesh | Brain | pt |
dc.subject.mesh | Brain Mapping | pt |
dc.subject.mesh | Humans | pt |
dc.subject.mesh | Image Processing, Computer-Assisted | pt |
dc.subject.mesh | Magnetic Resonance Imaging | pt |
dc.subject.mesh | Mental Recall | pt |
dc.subject.mesh | Reaction Time | pt |
dc.subject.mesh | Signal-To-Noise Ratio | pt |
dc.subject.mesh | Bayes Theorem | pt |
dc.subject.mesh | Models, Statistical | pt |
dc.title | Multivariate Bayesian decoding of single-trial event-related fMRI responses for memory retrieval of voluntary actions | pt |
dc.type | article | - |
degois.publication.firstPage | e0182657 | pt |
degois.publication.issue | 8 | pt |
degois.publication.title | PLoS ONE | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1371/journal.pone.0182657 | pt |
degois.publication.volume | 12 | pt |
dc.date.embargo | 2017-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | Com Texto completo | - |
crisitem.author.researchunit | CINEICC – Center for Research in Neuropsychology and Cognitive and Behavioural Intervention | - |
crisitem.author.orcid | 0000-0001-8316-2141 | - |
Appears in Collections: | FPCEUC - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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Multivariate-Bayesian-decoding-of-singletrial-eventrelated-fMRI-responses-for-memory-retrieval-of-voluntary-actionsPLoS-ONE.pdf | 10.45 MB | Adobe PDF | View/Open |
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This item is licensed under a Creative Commons License