2016
DOI: 10.1017/s0033291716002440
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Resting-state brain alteration after a single dose of SSRI administration predicts 8-week remission of patients with major depressive disorder

Abstract: This study revealed the possibility of using the measurement of resting-state neural changes a few hours after acute administration of antidepressant to identify individuals likely to remit after a few weeks of treatment.

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Cited by 43 publications
(36 citation statements)
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“…These early changes may be important for the therapeutic effect of antidepressants. This is supported by a recent study that found changes in resting-state functional connectivity only 5 h after a single dose of escitalopram to predict later treatment response in depressed patients (Cheng et al, 2017).…”
Section: Effect Of Mirtazapine On Large-scale Functional Connectivitysupporting
confidence: 63%
“…These early changes may be important for the therapeutic effect of antidepressants. This is supported by a recent study that found changes in resting-state functional connectivity only 5 h after a single dose of escitalopram to predict later treatment response in depressed patients (Cheng et al, 2017).…”
Section: Effect Of Mirtazapine On Large-scale Functional Connectivitysupporting
confidence: 63%
“…Conversely, non-remitters showed much lower levels of significant changes. It suggested that treatment response might be associated with activity in the occipital resting-state network [29]. In the present study, compared with the MDD patients with mild treatment resistance, the patients with moderate-to-severe resistance had greater 18 F-florbetapir binding in the temporal and occipital regions.…”
Section: Discussionmentioning
confidence: 50%
“…We measured spontaneous brain activity via a fractional ALFF (fALFF) approach (Zou et al, 2008). This approach could improve the sensitivity and specificity in detecting regional spontaneous brain activity compared to ALFF (Zou et al, 2008), and has been widely used in major depressive disorder (Cheng et al, 2017;Qiu et al, 2019), schizophrenia (Hoptman et al, 2010;Zhang et al, 2018), Parkinson's disease (Tang et al, 2017;Guo et al, 2018) and other neuropsychiatric disorders.…”
Section: Introductionmentioning
confidence: 99%