Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial

Dunlop, Boadie W.; Binder, Elisabeth B.; Cubells, Joseph F.; Goodman, Mark M.; Kelley, Mary E.; Kinkead, Becky; Kutner, Michael; Nemeroff, Charles B.; Newport, D. Jeffrey; Owens, Michael J.; Pace, Thaddeus W.W.; Ritchie, James C.; Rivera, Vivianne Aponte; Westen, Drew; Craighead, W. Edward; Mayberg, Helen S.

doi:10.1186/1745-6215-13-106

Cited by 115 publications

(114 citation statements)

References 127 publications

(129 reference statements)

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“…Studies of pharmacotherapies, brain stimulation treatments, and a few psychotherapies have begun to show that treatment effects at the neurobiological level can be mediated by changes in connectivity networks. A study of resting-state functional connectivity as a measure of effects of cognitive behavioral therapy is beginning (Dunlop et al, 2012). Changes in connectivity networks, functional and/or structural, may be key neurobiological outcomes of psychotherapy treatments and it is now timely to directly investigate how psychotherapy affects the connectivity networks of the brain.…”

Section: Future Studiesmentioning

confidence: 99%

Neuroimaging for psychotherapy research: Current trends

Weingarten

Strauman

2014

Psychotherapy Research

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Objective This article reviews neuroimaging studies that inform psychotherapy research. An introduction to neuroimaging methods is provided as background for the increasingly sophisticated breadth of methods and findings appearing in psychotherapy research. Method We compiled and assessed a comprehensive list of neuroimaging studies of psychotherapy outcome, along with selected examples of other types of studies that also are relevant to psychotherapy research. We emphasized magnetic resonance imaging (MRI) since it is the dominant neuroimaging modality in psychological research. Results We summarize findings from neuroimaging studies of psychotherapy outcome, including treatment for depression, obsessive-compulsive disorder (OCD), and schizophrenia. Conclusions The increasing use of neuroimaging methods in the study of psychotherapy continues to refine our understanding of both outcome and process. We suggest possible directions for future neuroimaging studies in psychotherapy research.

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Section: Future Studiesmentioning

confidence: 99%

Neuroimaging for psychotherapy research: Current trends

Weingarten

Strauman

2014

Psychotherapy Research

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“…All patients were participants in one of two clinical trials designed to identify treatment-specific imaging biomarkers of treatment outcomes. One trial selected for MDD patients who had never received antidepressant treatment during their lifetime (N ¼ 98: Dunlop et al, 2012a). The other trial enrolled patients who had prior antidepressant treatment but were medication free for at least 2 weeks before the scanning (N ¼ 36; Dunlop et al, 2012b;McGrath et al, 2013).…”

Section: Participantsmentioning

confidence: 99%

“…In an effort to provide a more definitive analysis of potential WM abnormalities in depressed patients, DTI was performed as part of two large, similarly designed studies on depressed patients and in a group of HCs, all scanned using a common protocol (Dunlop et al, 2012a, b). Using optimized processing methods, VBM and TBSS were performed on these data to assess for differences in FA between the groups.…”

Section: Introductionmentioning

confidence: 99%

Reconciling Variable Findings of White Matter Integrity in Major Depressive Disorder

Choi

Holtzheimer

Franco

et al. 2013

Neuropsychopharmacol

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Diffusion tensor imaging (DTI) has been used to evaluate white matter (WM) integrity in major depressive disorder (MDD), with several studies reporting differences between depressed patients and controls. However, these findings are variable and taken from relatively small studies often using suboptimal analytic approaches. The presented DTI study examined WM integrity in large samples of medication-free MDD patients (n ¼ 134) and healthy controls (n ¼ 54) using voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) approaches, and rigorous statistical thresholds. Compared with health control subjects, MDD patients show no significant differences in fractional anisotropy, radial diffusivity, mean diffusivity, and axonal diffusivity with either the VBM or the TBSS approach. Our findings suggest that disrupted WM integrity does not have a major role in the neurobiology of MDD in this relatively large study using optimal imaging acquisition and analysis; however, this does not eliminate the possibility that certain patient subgroups show WM disruption associated with depression.

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“…Ultimately, the integration of several moderators may prove to have greater predictive power than any moderator in isolation [21]. For example, inflammation and neuroimaging are among the most promising current approaches.…”

Section: Biological Measuresmentioning

confidence: 99%