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Patrick J. McGrath

Bio: Patrick J. McGrath is an academic researcher from Columbia University. The author has contributed to research in topics: Hamilton Rating Scale for Depression & Major depressive disorder. The author has an hindex of 13, co-authored 16 publications receiving 4233 citations.

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Journal ArticleDOI
TL;DR: The acute and longer-term treatment outcomes associated with each of four successive steps in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial are described and compared.
Abstract: Objective: This report describes the participants and compares the acute and longer-term treatment outcomes associated with each of four successive steps in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Method: A broadly representative adult outpatient sample with nonpsychotic major depressive disorder received one (N=3,671) to four (N=123) successive acute treatment steps. Those not achieving remission with or unable to tolerate a treatment step were encouraged to move to the next step. Those with an acceptable benefit, preferably symptom remission, from any particular step could enter a 12-month naturalistic follow-up phase. A score of ≤5 on the Quick Inventory of Depressive Symptomatology–Self-Report (QIDS-SR 16 ) (equivalent to ≤7 on the 17-item Hamilton Rating Scale for Depression [HRSD 17 ]) defined remission; a QIDS-SR 16 total score of ≥11 (HRSD 17 ≥14) defined relapse. Results: The QIDS-SR 16 remission rates were 36.8%, 30.6%, 13.7%, and 13.0% for the first, second, t...

3,768 citations

Journal ArticleDOI
TL;DR: It is shown that ComBat removes unwanted sources of scan variability while simultaneously increasing the power and reproducibility of subsequent statistical analyses, and is useful for combining imaging data with the goal of studying life‐span trajectories in the brain.

663 citations

Journal ArticleDOI
TL;DR: Pharmacologic augmentation was more rapidly effective than cognitive therapy augmentation of citalopram, whereas switching to cognitive therapy was better tolerated than switching to a different antidepressant.
Abstract: Objective: The authors compared the effectiveness of cognitive therapy and pharmacotherapy as second-step strategies for outpatients with major depressive disorder who had received inadequate benefit from an initial trial of citalopram. Cognitive therapy was compared with medication augmentation and switch strategies. Method: An equipoise-stratified randomization strategy was used to assign participants to either augmentation of citalopram with cognitive therapy (N=65) or medication (N=117; either sustained-release bupropion [N=56] or buspirone [N=61]) or switch to cognitive therapy (N=36) or another antidepressant (N=86; sertraline [N=27], sustained-release bupropion [N=28], or extended-release venlafaxine [N=31]). Treatment outcomes and the frequency of adverse events were compared. Results: Less than one-third of participants consented to randomization strata that permitted comparison of cognitive therapy and pharmacotherapy. Among participants who were assigned to second-step treatment, those who rece...

310 citations

Journal ArticleDOI
01 Jan 2008
TL;DR: The acute and longer-term treatment outcomes associated with each of four successive steps in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial are described and compared.
Abstract: Objective:This report describes the participants and compares the acute and longer-term treatment outcomes associated with each of four successive steps in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Method: A broadly representative adult outpatient sample with nonpsychotic major depressive disorder received one (N = 3,671) to four (N = 123) successive acute treatment steps. Those not achieving remission with or unable to tolerate a treatment step were encouraged to move to the next step. Those with an acceptable benefit, preferably symptom remission, from any particular step could enter a 12-month naturalistic follow-up phase. A score of ≤5 on the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16) (equivalent to ≤7 on the 17-item Hamilton Rating Scale for Depression [HRSD17]) defined remission; a QIDS-SR16 total score of ≥11 (HRSD17≥14) defined relapse. Results: The QIDS-SR16 remission rates were 36.8%, 30.6%, 13.7%, and 13.0% for the first, second, third,...

104 citations

Journal ArticleDOI
TL;DR: Increased pretreatment rACC theta activity represents a nonspecific prognostic marker of treatment outcome, and predicted greater depressive symptom improvement, even when controlling for clinical and demographic variables previously linked with treatment outcome.
Abstract: Importance Major depressive disorder (MDD) remains challenging to treat. Although several clinical and demographic variables have been found to predict poor antidepressant response, these markers have not been robustly replicated to warrant implementation in clinical care. Increased pretreatment rostral anterior cingulate cortex (rACC) theta activity has been linked to better antidepressant outcomes. However, no prior study has evaluated whether this marker has incremental predictive validity over clinical and demographic measures. Objective To determine whether increased pretreatment rACC theta activity would predict symptom improvement regardless of randomization arm. Design, Setting, and Participants A multicenter randomized clinical trial enrolled outpatients without psychosis and with chronic or recurrent MDD between July 29, 2011, and December 15, 2015 (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care [EMBARC]). Patients were consecutively recruited from 4 university hospitals: 634 patients were screened, 296 were randomized to receive sertraline hydrochloride or placebo, 266 had electroencephalographic (EEG) recordings, and 248 had usable EEG data. Resting EEG data were recorded at baseline and 1 week after trial onset, and rACC theta activity was extracted using source localization. Intent-to-treat analysis was conducted. Data analysis was performed from October 7, 2016, to January 19, 2018. Interventions An 8-week course of sertraline or placebo. Main Outcomes and Measures The 17-item Hamilton Rating Scale for Depression score (assessed at baseline and weeks 1, 2, 3, 4, 6, and 8). Results The 248 participants (160 [64.5%] women, 88 [35.5%] men) with usable EEG data had a mean (SD) age of 36.75 (13.15) years. Higher rACC theta activity at both baseline (b = −1.05; 95% CI, −1.77 to −0.34;P = .004) and week 1 (b = −0.83; 95% CI, −1.60 to −0.06;P Conclusions and Relevance Increased pretreatment rACC theta activity represents a nonspecific prognostic marker of treatment outcome. This is the first study to date to demonstrate that rACC theta activity has incremental predictive validity. Trial Registration clinicaltrials.gov Identifier:NCT01407094

101 citations


Cited by
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TL;DR: Preliminary data from patients with inflammatory disorders, as well as medically healthy depressed patients, suggest that inhibiting proinflammatory cytokines or their signaling pathways may improve depressed mood and increase treatment response to conventional antidepressant medication.

3,084 citations

Journal ArticleDOI
TL;DR: Current understanding of the mechanisms by which the innate and adaptive immune systems interact with neurotransmitters and neurocircuits to influence the risk for depression are detailed.
Abstract: Crosstalk between inflammatory pathways and neurocircuits in the brain can lead to behavioural responses, such as avoidance and alarm, that are likely to have provided early humans with an evolutionary advantage in their interactions with pathogens and predators. However, in modern times, such interactions between inflammation and the brain appear to drive the development of depression and may contribute to non-responsiveness to current antidepressant therapies. Recent data have elucidated the mechanisms by which the innate and adaptive immune systems interact with neurotransmitters and neurocircuits to influence the risk for depression. Here, we detail our current understanding of these pathways and discuss the therapeutic potential of targeting the immune system to treat depression.

2,133 citations

01 Jan 2016
TL;DR: This application applied longitudinal data analysis modeling change and event occurrence will help people to enjoy a good book with a cup of coffee in the afternoon instead of facing with some infectious virus inside their computer.
Abstract: Thank you very much for downloading applied longitudinal data analysis modeling change and event occurrence. As you may know, people have look hundreds times for their favorite novels like this applied longitudinal data analysis modeling change and event occurrence, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.

2,102 citations

Journal ArticleDOI
15 Sep 2016
TL;DR: An overview of the current evidence of major depressive disorder, including its epidemiology, aetiology, pathophysiology, diagnosis and treatment, is provided.
Abstract: Major depressive disorder (MDD) is a debilitating disease that is characterized by depressed mood, diminished interests, impaired cognitive function and vegetative symptoms, such as disturbed sleep or appetite. MDD occurs about twice as often in women than it does in men and affects one in six adults in their lifetime. The aetiology of MDD is multifactorial and its heritability is estimated to be approximately 35%. In addition, environmental factors, such as sexual, physical or emotional abuse during childhood, are strongly associated with the risk of developing MDD. No established mechanism can explain all aspects of the disease. However, MDD is associated with alterations in regional brain volumes, particularly the hippocampus, and with functional changes in brain circuits, such as the cognitive control network and the affective-salience network. Furthermore, disturbances in the main neurobiological stress-responsive systems, including the hypothalamic-pituitary-adrenal axis and the immune system, occur in MDD. Management primarily comprises psychotherapy and pharmacological treatment. For treatment-resistant patients who have not responded to several augmentation or combination treatment attempts, electroconvulsive therapy is the treatment with the best empirical evidence. In this Primer, we provide an overview of the current evidence of MDD, including its epidemiology, aetiology, pathophysiology, diagnosis and treatment.

1,728 citations

Journal ArticleDOI
TL;DR: Fecal samples from 46 patients with depression are analyzed to enable a better understanding of changes in the fecal microbiota composition in such patients, showing either a predominance of some potentially harmful bacterial groups or a reduction in beneficial bacterial genera.
Abstract: Studies using animal models have shown that depression affects the stability of the microbiota, but the actual structure and composition in patients with major depressive disorder (MDD) are not well understood. Here, we analyzed fecal samples from 46 patients with depression (29 active-MDD and 17 responded-MDD) and 30 healthy controls (HCs). High-throughput pyrosequencing showed that, according to the Shannon index, increased fecal bacterial α-diversity was found in the active-MDD (A-MDD) vs. the HC group but not in the responded-MDD (R-MDD) vs. the HC group. Bacteroidetes, Proteobacteria, and Actinobacteria strongly increased in level, whereas that of Firmicutes was significantly reduced in the A-MDD and R-MDD groups compared with the HC group. Despite profound interindividual variability, levels of several predominant genera were significantly different between the MDD and HC groups. Most notably, the MDD groups had increased levels of Enterobacteriaceae and Alistipes but reduced levels of Faecalibacterium. A negative correlation was observed between Faecalibacterium and the severity of depressive symptoms. These findings enable a better understanding of changes in the fecal microbiota composition in such patients, showing either a predominance of some potentially harmful bacterial groups or a reduction in beneficial bacterial genera. Further studies are warranted to elucidate the temporal and causal relationships between gut microbiota and depression and to evaluate the suitability of the microbiome as a biomarker.

1,444 citations