2013
DOI: 10.1038/npp.2013.222
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Resting-State Cortico-Thalamic-Striatal Connectivity Predicts Response to Dorsomedial Prefrontal rTMS in Major Depressive Disorder

Abstract: Despite its high toll on society, there has been little recent improvement in treatment efficacy for major depressive disorder (MDD). The identification of biological markers of successful treatment response may allow for more personalized and effective treatment. Here we investigate whether resting-state functional connectivity predicted response to treatment with repetitive transcranial magnetic stimulation (rTMS) to dorsomedial prefrontal cortex (dmPFC). Twenty-five individuals with treatment-refractory MDD… Show more

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Cited by 248 publications
(256 citation statements)
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“…6 The MPFC is overactive in individuals with MDD, 7 and functional connectivity between the DLPFC and MPFC predicts response to TMS. [8][9][10] Little is known about how connectivity between the DLPFC and MPFC gives rise to the antidepressant effect of TMS.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…6 The MPFC is overactive in individuals with MDD, 7 and functional connectivity between the DLPFC and MPFC predicts response to TMS. [8][9][10] Little is known about how connectivity between the DLPFC and MPFC gives rise to the antidepressant effect of TMS.…”
Section: Introductionmentioning
confidence: 99%
“…6 The MPFC is overactive in individuals with MDD,7 and functional connectivity between the DLPFC and MPFC predicts response to TMS. [8][9][10] Little is known about how connectivity between the DLPFC and MPFC gives rise to the antidepressant effect of TMS.Other antidepressants appear to act in part by modulating the excitability of cortical circuits. Levels of γ-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the brain, which are generally decreased in depressed individuals, 11 have been reported to increase after treatment with selective serotonin reuptake inhibitors (SSRIs) 12 and electroconvulsive therapy (ECT).…”
mentioning
confidence: 99%
“…Additionally, graph theoretical measures such as betweenness centrality have been shown to differentiate dmPFC-rTMS responders and non-responders at baseline based on subscales for hedonic responses 23 . Neuroimaging also points to anterior mid-cingulate cortex and dorsomedial thalamic resting state functional connectivity change that correlates to treatment response 27 . In sum, functional neuroimaging may become a useful clinical tool as potential predictors and mechanisms of treatment response are identified.…”
Section: Discussionmentioning
confidence: 99%
“…Acquiring patient neuroimaging data before and after treatment allows for the identification of potential biological pre-treatment predictors and mechanisms of treatment response. Dorsomedial and subgenual cingulate resting-state functional connectivity have been identified as potential predictors to treatment response 27 . Additionally, graph theoretical measures such as betweenness centrality have been shown to differentiate dmPFC-rTMS responders and non-responders at baseline based on subscales for hedonic responses 23 .…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, networks may show abnormal functional connectivity to the same brain nodes, which further adds our understanding of the concomitant symptoms of MDD patients. Meanwhile, altered functional connectivity values detected by resting-state fMRI have been used to evaluate the therapeutic effect of a diversity of treatments on MDD, such as specific pharmacological treatments, psychological treatment, transcranial magnetic stimulation, and electroconvulsive shock therapy [79][80][81][82][83][84][85][86]. To date, pharmacotherapy is still the dominant method for patients with MDD.…”
Section: Mr Imaging Of Resting-state Functional Connectivitymentioning
confidence: 99%