Mixed-effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies
DC Field | Value | Language |
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dc.contributor.author | Jo, Sungman | - |
dc.contributor.author | Kim, Hyun-Chul | - |
dc.contributor.author | Lustig, Niv | - |
dc.contributor.author | Chen, Gang | - |
dc.contributor.author | Lee, Jong-Hwan | - |
dc.date.accessioned | 2022-02-16T00:41:57Z | - |
dc.date.available | 2022-02-16T00:41:57Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 1065-9471 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135921 | - |
dc.description.abstract | We report that regions-of-interest (ROIs) associated with idiosyncratic individual behavior can be identified from functional magnetic resonance imaging (fMRI) data using statistical approaches that explicitly model individual variability in neuronal activations, such as mixed-effects multilevel analysis (MEMA). We also show that the relationship between neuronal activation in fMRI and behavioral data can be modeled using canonical correlation analysis (CCA). A real-world dataset for the neuronal response to nicotine use was acquired using a custom-made MRI-compatible apparatus for the smoking of electronic cigarettes (e-cigarettes). Nineteen participants smoked e-cigarettes in an MRI scanner using the apparatus with two experimental conditions: e-cigarettes with nicotine (ECIG) and sham e-cigarettes without nicotine (SCIG) and subjective ratings were collected. The right insula was identified in the ECIG condition from the chi(2)-test of the MEMA but not from the t-test, and the corresponding activations were significantly associated with the similarity scores (r = -.52, p = .041, confidence interval [CI] = [-0.78, -0.17]) and the urge-to-smoke scores (r = .73, p <.001, CI = [0.52, 0.88]). From the contrast between the two conditions (i.e., ECIG > SCIG), the right orbitofrontal cortex was identified from the chi(2)-tests, and the corresponding neuronal activations showed a statistically meaningful association with similarity (r = -.58, p = .01, CI = [-0.84, -0.17]) and the urge to smoke (r = .34, p = .15, CI = [0.09, 0.56]). The validity of our analysis pipeline (i.e., MEMA followed by CCA) was further evaluated using the fMRI and behavioral data acquired from the working memory and gambling tasks available from the Human Connectome Project. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | ORBITOFRONTAL CORTEX | - |
dc.subject | FUNCTIONAL CONNECTIVITY | - |
dc.subject | WORKING-MEMORY | - |
dc.subject | INDIVIDUAL-DIFFERENCES | - |
dc.subject | BRAIN | - |
dc.subject | CIGARETTE | - |
dc.subject | NICOTINE | - |
dc.subject | REWARD | - |
dc.subject | ADDICTION | - |
dc.subject | DEPENDENCE | - |
dc.title | Mixed-effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jong-Hwan | - |
dc.identifier.doi | 10.1002/hbm.25627 | - |
dc.identifier.scopusid | 2-s2.0-85113157844 | - |
dc.identifier.wosid | 000686656200001 | - |
dc.identifier.bibliographicCitation | HUMAN BRAIN MAPPING, v.42, no.16, pp.5374 - 5396 | - |
dc.relation.isPartOf | HUMAN BRAIN MAPPING | - |
dc.citation.title | HUMAN BRAIN MAPPING | - |
dc.citation.volume | 42 | - |
dc.citation.number | 16 | - |
dc.citation.startPage | 5374 | - |
dc.citation.endPage | 5396 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.relation.journalWebOfScienceCategory | Neuroimaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | ADDICTION | - |
dc.subject.keywordPlus | BRAIN | - |
dc.subject.keywordPlus | CIGARETTE | - |
dc.subject.keywordPlus | DEPENDENCE | - |
dc.subject.keywordPlus | FUNCTIONAL CONNECTIVITY | - |
dc.subject.keywordPlus | INDIVIDUAL-DIFFERENCES | - |
dc.subject.keywordPlus | NICOTINE | - |
dc.subject.keywordPlus | ORBITOFRONTAL CORTEX | - |
dc.subject.keywordPlus | REWARD | - |
dc.subject.keywordPlus | WORKING-MEMORY | - |
dc.subject.keywordAuthor | Human Connectome Project | - |
dc.subject.keywordAuthor | canonical correlation analysis | - |
dc.subject.keywordAuthor | electronic cigarette | - |
dc.subject.keywordAuthor | functional MRI | - |
dc.subject.keywordAuthor | mixed-effects multilevel analysis | - |
dc.subject.keywordAuthor | nicotine craving | - |
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