DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jinae | ko |
dc.contributor.author | Park, Cheolwoo | ko |
dc.contributor.author | Dyckman, Kara A. | ko |
dc.contributor.author | Lazar, Nicole A. | ko |
dc.contributor.author | Austin, Benjamin P. | ko |
dc.contributor.author | Li, Qingyang | ko |
dc.contributor.author | McDowell, Jennifer E. | ko |
dc.date.accessioned | 2021-06-11T01:50:18Z | - |
dc.date.available | 2021-06-11T01:50:18Z | - |
dc.date.created | 2021-06-11 | - |
dc.date.created | 2021-06-11 | - |
dc.date.issued | 2013-09 | - |
dc.identifier.citation | HUMAN BRAIN MAPPING, v.34, no.9, pp.2276 - 2291 | - |
dc.identifier.issn | 1065-9471 | - |
dc.identifier.uri | http://hdl.handle.net/10203/285775 | - |
dc.description.abstract | Objectives: To evaluate brain activation using functional magnetic resonance imaging (fMRI) and specifically, activation changes across time associated with practice-related cognitive control during eye movement tasks. Experimental design: Participants were engaged in antisaccade performance (generating a glance away from a cue) while fMR images were acquired during two separate test sessions: (1) at pre-test before any exposure to the task and (2) at post-test, after 1 week of daily practice on antisaccades, prosaccades (glancing toward a target), or fixation (maintaining gaze on a target). Principal observations: The three practice groups were compared across the two test sessions, and analyses were conducted via the application of a model-free clustering technique based on wavelet analysis. This series of procedures was developed to avoid analysis problems inherent in fMRI data and was composed of several steps: detrending, data aggregation, wavelet transform and thresholding, no trend test, principal component analysis (PCA), and K-means clustering. The main clustering algorithm was built in the wavelet domain to account for temporal correlation. We applied a no trend test based on wavelets to significantly reduce the high dimension of the data. We clustered the thresholded wavelet coefficients of the remaining voxels using PCA K-means clustering. Conclusion: Over the series of analyses, we found that the antisaccade practice group was the only group to show decreased activation from pre-test to post-test in saccadic circuitry, particularly evident in supplementary eye field, frontal eye fields, superior parietal lobe, and cuneus. Hum Brain Mapp 34:2276-2291, 2012. (c) 2012 Wiley Periodicals, Inc. | - |
dc.language | English | - |
dc.publisher | WILEY | - |
dc.title | Practice-related changes in neural activation patterns investigated via wavelet-based clustering analysis | - |
dc.type | Article | - |
dc.identifier.wosid | 000323320800023 | - |
dc.identifier.scopusid | 2-s2.0-84882659806 | - |
dc.type.rims | ART | - |
dc.citation.volume | 34 | - |
dc.citation.issue | 9 | - |
dc.citation.beginningpage | 2276 | - |
dc.citation.endingpage | 2291 | - |
dc.citation.publicationname | HUMAN BRAIN MAPPING | - |
dc.identifier.doi | 10.1002/hbm.22066 | - |
dc.contributor.localauthor | Park, Cheolwoo | - |
dc.contributor.nonIdAuthor | Lee, Jinae | - |
dc.contributor.nonIdAuthor | Dyckman, Kara A. | - |
dc.contributor.nonIdAuthor | Lazar, Nicole A. | - |
dc.contributor.nonIdAuthor | Austin, Benjamin P. | - |
dc.contributor.nonIdAuthor | Li, Qingyang | - |
dc.contributor.nonIdAuthor | McDowell, Jennifer E. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | antisaccades | - |
dc.subject.keywordAuthor | bootstrap | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | fMRI | - |
dc.subject.keywordAuthor | plasticity | - |
dc.subject.keywordAuthor | principal component analysis | - |
dc.subject.keywordAuthor | saccades | - |
dc.subject.keywordAuthor | wavelets | - |
dc.subject.keywordPlus | FALSE DISCOVERY RATE | - |
dc.subject.keywordPlus | VOLITIONAL SACCADES | - |
dc.subject.keywordPlus | TIME-SERIES | - |
dc.subject.keywordPlus | FMRI | - |
dc.subject.keywordPlus | SCHIZOPHRENIA | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.subject.keywordPlus | MEMORY | - |
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