Escitalopram ameliorates differences in neural activity between healthy comparison and major depressive disorder groups on an fMRI Emotional conflict task: A CAN-BIND-1 study

Alders, Gésine L.; Davis, Andrew D.; MacQueen, Glenda; Strother, Stephen C.; Hassel, Stefanie; Zamyadi, Mojdeh; Sharma, Gulshan B.; Arnott, Stephen R.; Downar, Jonathan; Harris, Jacqueline; Lam, Raymond W.; Milev, Roumen; Müller, Daniel J.; Ravindran, Arun; Kennedy, Sidney H.; Frey, Benício N.; Minuzzi, Luciano; Hall, Geoffrey B.; Team, Can-Bind Investigator

doi:10.1016/j.jad.2019.11.068

Cited by 9 publications

(2 citation statements)

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“…A study in 70 depressed individuals from the iSPOT-D cohort reported that amygdala reactivity to rewarding and threatening stimuli was predictive of antidepressant treatment response, conditional on self-reported early life stress (Goldstein-Piekarski et al, 2016). In contrast, another study in 42 depressed individuals from the CAN-BIND-1 cohort found that pre-treatment brain response during an emotional Stroop task did not predict treatment response to the SSRI escitalopram (Alders et al, 2019(Alders et al, , 2020. Nevertheless, there remains the need to examine prediction performance in larger cohorts and evaluate prediction based on whole-brain response profiles.…”

Section: Introductionmentioning

confidence: 99%

Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: A NeuroPharm study

et al. 2022

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Background: Major depressive disorder (MDD) is a prevalent neuropsychiatric illness for which it is important to resolve underlying brain mechanisms. Current treatments are often unsuccessful, precipitating a need to identify predictive markers. Aim: We evaluated (1) alterations in brain responses to an emotional faces functional magnetic resonance imaging (fMRI) paradigm in individuals with MDD, compared to controls, (2) whether pretreatment brain responses predicted antidepressant treatment response, and (3) pre–post change in brain responses following treatment. Methods: Eighty-nine medication-free, depressed individuals and 115 healthy controls completed the fMRI paradigm. Depressed individuals completed a nonrandomized, open-label, 8-week treatment with escitalopram, including the option to switch to duloxetine after 4 weeks. We examined patient–control group differences in regional fMRI responses at baseline, whether baseline fMRI responses predicted treatment response at 8 weeks, including early life stress moderating effects, and change in fMRI responses in 36 depressed individuals rescanned following 8 weeks of treatment. Results: Task reaction time was 5% slower in patients. Multiple brain regions showed significant task-related responses, but we observed no statistically significant patient–control group differences (Cohen’s d < 0.35). Patient pretreatment brain responses did not predict antidepressant treatment response (area under the curve of the receiver operator characteristic (AUC-ROC) < 0.6) and brain responses were not statistically significantly changed after treatment (Cohen’s d < 0.33). Conclusion: This represents the largest prediction study to date examining emotional faces fMRI features as predictors of antidepressant treatment response. Brain response to this fMRI emotional faces paradigm did not distinguish depressed individuals from healthy controls, nor was it predictive of antidepressant treatment response. Clinical Trial Registration: Site: https://clinicaltrials.gov , Trial Number: NCT02869035, Trial Title: Treatment Outcome in Major Depressive Disorder

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Section: Introductionmentioning

confidence: 99%

Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: A NeuroPharm study

et al. 2022

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“…For left pars triangularis, previous studies have reported decreased cortical thickness in depression patients, diminishing pars triangularis in functional networks for depression patients, functional connectivity between pars triangularis and frontal eye field as predictors of acute depression treatment outcome, and pars triangularis as a discriminating biomarker between depression patients and healthy controls [ 85 , 86 , 87 , 88 ]. For left lateral occipital cortex, in MDD patients, previous studies have revealed abnormal local intrinsic gray-matter connectivity, decreased baseline blood-oxygen level dependent (BOLD) signal, the correlation between suicidality and connectivity between lateral occipital cortex and fusiform, elevated functional activation, and increased cortical surface [ 89 , 90 , 91 , 92 , 93 , 94 ]. Even though the previous study has discovered similar correlations in MDD patients and correlation between gray matter thickness in areas of parietal and temporal cortices and antidepressant treatments [ 95 ], no finding regarding the treatment-related functional changes for regions in Table 3 has been reported before.…”

Section: Discussionmentioning

confidence: 99%

Effect of SSRIs on Resting-State Functional Brain Networks in Adolescents with Major Depressive Disorder

Chu

Parhi

Schreiner

et al. 2021

JCM

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Investigation of brain changes in functional connectivity and functional network topology from receiving 8-week selective serotonin reuptake inhibitor (SSRI) treatments is conducted in 12 unmedicated adolescents with major depressive disorder (MDD) by using wavelet-filtered resting-state functional magnetic resonance imaging (fMRI). Changes are observed in frontal-limbic, temporal, and default mode networks. In particular, topological analysis shows, at the global scale and in the 0.12–0.25 Hz band, that the normalized clustering coefficient and smallworldness of brain networks decreased after treatment. Regional changes in clustering coefficient and efficiency were observed in the bilateral caudal middle frontal gyrus, rostral middle frontal gyrus, superior temporal gyrus, left pars triangularis, putamen, and right superior frontal gyrus. Furthermore, changes of nodal centrality and changes of connectivity associated with these frontal and temporal regions confirm the global topological alternations. Moreover, frequency dependence is observed from FDR-controlled subnetworks for the limbic-cortical connectivity change. In the high-frequency band, the altered connections involve mostly frontal regions, while the altered connections in the low-frequency bands spread to parietal and temporal areas. Due to the limitation of small sample sizes and lack of placebo control, these preliminary findings require confirmation with future work using larger samples. Confirmation of biomarkers associated with treatment could suggest potential avenues for clinical applications such as tracking treatment response and neurobiologically informed treatment optimization.

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Attention Biases in Previously Depressed Individuals: A Meta-Analysis and Implications for Depression Recurrence

Shamai-Leshem

Linetzky²,

Bar‐Haim³

2022

Cogn Ther Res

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Escitalopram ameliorates differences in neural activity between healthy comparison and major depressive disorder groups on an fMRI Emotional conflict task: A CAN-BIND-1 study

Cited by 9 publications

References 70 publications

Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: A NeuroPharm study

Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: A NeuroPharm study

Effect of SSRIs on Resting-State Functional Brain Networks in Adolescents with Major Depressive Disorder

Attention Biases in Previously Depressed Individuals: A Meta-Analysis and Implications for Depression Recurrence

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