2019
DOI: 10.1016/j.euroneuro.2019.03.002
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Mindfulness-based therapy modulates default-mode network connectivity in patients with opioid dependence

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Cited by 18 publications
(37 citation statements)
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“…In contrast to our hypothesis and previous brain imaging studies on the effect of mindfulness, 37,38,59 we did not find a significant time × condition interaction effect within portions of the DMN. This might be because of the small sample size, as we did see a trend toward reduced connectivity in the DMN in the MBI condition compared with the control condition.…”
Section: Discussioncontrasting
confidence: 99%
“…In contrast to our hypothesis and previous brain imaging studies on the effect of mindfulness, 37,38,59 we did not find a significant time × condition interaction effect within portions of the DMN. This might be because of the small sample size, as we did see a trend toward reduced connectivity in the DMN in the MBI condition compared with the control condition.…”
Section: Discussioncontrasting
confidence: 99%
“…SBM takes advantage of independent component analysis to extract maximally independent spatial patterns of neural activity across the whole sample. We have previously applied SBM to structural data to investigate treatment‐related neural effects in patients with depression (Wolf et al, 2016), as well as in individuals with substance‐use disorders (Fahmy et al, 2019), where SBM has been shown to be sensitive to functional network strength changes. SBM has also been used previously on functional imaging data, including SPECT (Premi et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…SBM decomposition of subjects-by-voxel data matrix results in spatial maps, which are the sources of covariance, and a mixing matrix that indicates the contribution for each subject for each source. We have previously applied SBM to structural data to investigate neural effects associated with electroconvulsive therapy in MDD (Wolf et al ., 2016), as well as effects of psychotherapy in patients with substance-use disorders (Fahmy et al ., 2019), where SBM has been shown to be sensitive to treatment related changes of neural network strength. This technique has also been used previously on functional imaging data, including SPECT (Premi et al ., 2017).…”
Section: Methodsmentioning
confidence: 99%