Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyun-Chul | - |
dc.contributor.author | Lee, Jong-Hwan | - |
dc.date.accessioned | 2022-04-01T05:41:22Z | - |
dc.date.available | 2022-04-01T05:41:22Z | - |
dc.date.created | 2022-04-01 | - |
dc.date.issued | 2022-03-23 | - |
dc.identifier.issn | 0959-4965 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/139329 | - |
dc.description.abstract | Objective Functional connectivity in intrinsic brain networks, namely, the triple network, which includes the salience network, default mode network (DMN) and central executive network (CEN), has been suggested as prominent, major networks involved in human cognition and mental state-mindfulness, mind-wandering and resting-state. Despite the established roles of functional connections within and between intrinsic networks, there has been limited research on the effective connectivity of mindfulness, mind-wandering and resting-state using the triple network, as well as on their direct comparisons. Methods We employed spectral dynamic causal modeling to compare effective connectivity patterns across mindfulness (i.e. attention focused on physical sensations of breathing), mind-wandering (i.e. connecting thoughts) and resting-state (i.e. relaxing while remaining calm and awake) conditions using functional MRI data of healthy subjects who underwent ambulatory training by practicing mindfulness and mind-wandering (N = 59). Results When comparing mindfulness and mindwandering conditions, our analysis results revealed that salience network and CEN interacted depending on mindfulness or mind-wandering. When mindfulness or mind-wandering was compared to resting-state, mindfulness increased the effective connectivity from the left CEN to salience network through DMN, whereas mindwandering increased the effective connectivity from the DMN to right CEN. Conclusion To the best of our knowledge, this is the first study to examine possible differences in effective connectivity patterns among mindfulness, mind-wandering and resting-state using the triple network. We believe that our findings will provide deeper insights into the neural substrates of mindfulness compared to mind-wandering and resting-state. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | LIPPINCOTT WILLIAMS & WILKINS | - |
dc.subject | BRAIN | - |
dc.subject | EXPERIENCE | - |
dc.subject | MEDITATION | - |
dc.subject | CORTEX | - |
dc.title | Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jong-Hwan | - |
dc.identifier.doi | 10.1097/WNR.0000000000001772 | - |
dc.identifier.scopusid | 2-s2.0-85126655396 | - |
dc.identifier.wosid | 000768547200003 | - |
dc.identifier.bibliographicCitation | NEUROREPORT, v.33, no.5, pp.221 - 226 | - |
dc.relation.isPartOf | NEUROREPORT | - |
dc.citation.title | NEUROREPORT | - |
dc.citation.volume | 33 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 221 | - |
dc.citation.endPage | 226 | - |
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.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | BRAIN | - |
dc.subject.keywordPlus | EXPERIENCE | - |
dc.subject.keywordPlus | MEDITATION | - |
dc.subject.keywordPlus | CORTEX | - |
dc.subject.keywordAuthor | central executive network | - |
dc.subject.keywordAuthor | default mode network | - |
dc.subject.keywordAuthor | dynamic causal modeling | - |
dc.subject.keywordAuthor | effective connectivity | - |
dc.subject.keywordAuthor | fMRI | - |
dc.subject.keywordAuthor | mindfulness | - |
dc.subject.keywordAuthor | mind-wandering | - |
dc.subject.keywordAuthor | resting-state | - |
dc.subject.keywordAuthor | salience network | - |
dc.subject.keywordAuthor | triple network | - |
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