Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

Fu, Cynthia H.Y.; Steiner, Herbert; Costafreda, Sergi G.

doi:10.1016/j.nbd.2012.05.008

Cited by 374 publications

(249 citation statements)

References 77 publications

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“…Furthermore, optimized detection of response and remission was achieved by mapping the dynamic speed of individual treatment response with a sigmoid function. Thereby, aberrant frontal and anterior cingulate activity were confirmed as important correlates of antidepressant response [6,[15][16][17]. Finally, we detected that remission was associated with higher pretreatment TPJ activity.…”

Section: Discussionsupporting

confidence: 63%

“…With this optimized model of antidepressant response, we replicated anterior cingulate and ventromedial prefrontal cortex activity as antidepressant treatment response correlate [6,7,17,41]. Without dynamic response modeling, no results on response and remission were yielded in this dataset.…”

Section: Discussionmentioning

confidence: 84%

“…This analysis was corrected for sex, age, and an index for the individually calibrated pain stimulation intensity (1)(2)(3)(4)(5)(6)(7)(8)(9)(10) at the scan day (= painful intensity-non painful intensity). Post-hoc t-tests between every group and scan were performed.…”

Section: Fmri Analysesmentioning

confidence: 99%

“…To obtain biological markers of treatment effects, studies investigated blood-oxygen-level dependent (BOLD) signal changes upon antidepressant treatment with fMRI. In the beginning, most of these studies investigated correlates of response [6], only recently fMRI-studies…”

Section: Introductionmentioning

confidence: 99%

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The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

et al. 2018

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Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.

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Section: Discussionsupporting

confidence: 63%

Section: Discussionmentioning

confidence: 84%

Section: Fmri Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

et al. 2018

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“…For example, anterior cingulate cortex (ACC) reactivity measured by functional magnetic resonance imaging (fMRI) has been shown to predict responses to pharmacological and psychotherapy treatment in depression (Ball et al, 2014a;Fu et al, 2013). In contrast, the existing literature on predictors of response to treatment in anxiety disorders is much smaller (Ball et al, 2014a).…”

Section: Introductionmentioning

confidence: 99%

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Kujawa

Swain

Hanna

et al. 2015

Neuropsychopharmacol

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Neuroimaging has shown promise as a tool to predict likelihood of treatment response in adult anxiety disorders, with potential implications for clinical decision-making. Despite the relatively high prevalence and emergence of anxiety disorders in youth, very little work has evaluated neural predictors of response to treatment. The goal of the current study was to examine brain function during emotional face processing as a predictor of response to treatment in children and adolescents (age 7-19 years; N = 41) with generalized, social, and/ or separation anxiety disorder. Prior to beginning treatment with the selective serotonin reuptake inhibitor (SSRI) sertraline or cognitive behavior therapy (CBT), participants completed an emotional faces matching task during functional magnetic resonance imaging (fMRI). Whole brain responses to threatening (ie, angry and fearful) and happy faces were examined as predictors of change in anxiety severity following treatment. Greater activation in inferior and superior frontal gyri, including dorsolateral prefrontal cortex and ventrolateral prefrontal cortex, as well as precentral/postcentral gyri during processing of threatening faces predicted greater response to CBT and SSRI treatment. For processing of happy faces, activation in postcentral gyrus was a significant predictor of treatment response. Post-hoc analyses indicated that effects were not significantly moderated by type of treatment. Findings suggest that greater activation in prefrontal regions involved in appraising and regulating responses to social signals of threat predict better response to SSRI and CBT treatment in anxious youth and that neuroimaging may be a useful tool for predicting how youth will respond to treatment.

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Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder

et al. 2013

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Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

Cited by 374 publications

References 77 publications

The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder

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