2021
DOI: 10.1038/s41386-021-01039-w
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Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder

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Cited by 11 publications
(9 citation statements)
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“…Subsequently, we examined, for each k , any PL state that significantly differed in probability between music listening and no music. We note that this methodological approach inherently assumes a common repertoire of PL states during rest and task, with task being characterized by a change in the relative probability of occurrence of the different states (Figueroa et al, 2019 ; Wong et al, 2021 ), and not by a single task‐specific FC state, as considered in other task studies (Gonzalez‐Castillo et al, 2015 ).…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, we examined, for each k , any PL state that significantly differed in probability between music listening and no music. We note that this methodological approach inherently assumes a common repertoire of PL states during rest and task, with task being characterized by a change in the relative probability of occurrence of the different states (Figueroa et al, 2019 ; Wong et al, 2021 ), and not by a single task‐specific FC state, as considered in other task studies (Gonzalez‐Castillo et al, 2015 ).…”
Section: Methodsmentioning
confidence: 99%
“…LEiDA have been related to cognitive performance (Cabral et al, 2017), emotionality (Stark et al, 2020), depressive symptoms (Alonso Martínez, Deco, Ter Horst, and Cabral, 2020), trait self-reflectiveness (Larabi et al, 2020), body dysmorphic disorder (Wong et al, 2021) and distinct mood states in remitted MDD (rMDD) patients (Figueroa et al, 2019), which reinforces its sensitivity to both clinical and pre-clinical psychiatric symptoms.…”
Section: Introductionmentioning
confidence: 91%
“…In comparison to other analytical tools, LEiDA extends from measures of connectivity or correlation by considering also the phase-shifts between brain regions and describes discrete instead of overlapping states in time (Kringelbach and Deco, 2020). Dynamic characteristics of FC states derived from LEiDA have been related to cognitive performance (Cabral et al, 2017), emotionality (Stark et al, 2020), depressive symptoms (Alonso Martínez, Deco, Ter Horst, and Cabral, 2020), trait self-reflectiveness (Larabi et al, 2020), body dysmorphic disorder (Wong et al, 2021) and distinct mood states in remitted MDD (rMDD) patients (Figueroa et al, 2019), which reinforces its sensitivity to both clinical and pre-clinical psychiatric symptoms.…”
Section: Introductionmentioning
confidence: 99%
“…In this analytic framework, termed Leading Eigenvector Dynamics Analysis (LEiDA), RSNs are captured as recurrent modes of phase-locked synchronization of fMRI signals, which were found to overlap closely with RSNs from the literature (Lord et al, 2019;Vohryzek et al, 2020). An advantage of the method is that it allows calculation of the proportion of time points during an fMRI session assigned to a given RSN, providing a quantitative measure that can be statistically compared between conditions (Alonso Martínez et al, 2020;Cabral, Vidaurre, et al, 2017;Figueroa et al, 2019;Larabi et al, 2020;Magalhães et al, 2021;Wong et al, 2021). This approach allows detection of network-specific modulations; for example, a previous study using LEiDA revealed that psilocybin, a psychoactive molecule, selectively decreases the occupancy of the frontoparietal RSN (associated with executive control), leaving the occupancy of the other RSNs unchanged (Lord et al, 2019), while another study revealed the specific engagement of the orbitofrontal cortex reward system during music listening (Fasano et al, 2022).…”
Section: Dynamic Resting-state Network Analysismentioning
confidence: 99%