Literature DB >> 26674366

EEG Abnormalities Are Associated With Poorer Depressive Symptom Outcomes With Escitalopram and Venlafaxine-XR, but Not Sertraline: Results From the Multicenter Randomized iSPOT-D Study.

Martijn Arns1,2,3, Evian Gordon4,5, Nash N Boutros6.   

Abstract

Rationale Limited research is available on electrophysiological abnormalities such as epileptiform EEG or EEG slowing in depression and its association with antidepressant treatment response. Objectives We investigated the association between EEG abnormalities and antidepressant treatment response in the international Study to Predict Optimized Treatment in Depression (iSPOT-D). Methods Of 1008 participants with major depressive disorder randomized to escitalopram, sertraline, or venlafaxine-XR, 622 completed 8 weeks of treatment per protocol. The study also recruited 336 healthy controls. Treatment response was established after 8 weeks using the 17-item Hamilton Rating Scale for Depression (HRSD17). The resting-state EEG was assessed at baseline with eyes closed. EEG abnormalities including epileptiform activity, EEG slowing, and alpha peak frequency (APF) were scored for all subjects, blind to treatment outcome. Results Patients and controls did not differ in the occurrence of EEG abnormalities. Furthermore, in the per protocol sample the occurrence of epileptiform EEG and EEG slowing (as a combined marker) were associated with a reduced likelihood of responding to escitalopram (P = .019; odds ratio [OR] = 3.56) and venlafaxine-XR (P = .043; OR = 2.76), but not sertraline (OR = 0.73). The response rates for this "any EEG abnormality" groups versus the "no-abnormality" group were 33% and 64% for escitalopram and 41% and 66% for venlafaxine-XR, respectively. A slow APF was associated with treatment response only in the sertraline group (P = .21; d = .027). Conclusions EEG abnormalities are associated with nonresponse to escitalopram and venlafaxine-XR, but not sertraline, whereas a slow APF is associated to response for sertraline only. © EEG and Clinical Neuroscience Society (ECNS) 2015.

Entities:  

Keywords:  EEG; alpha frequency; antidepressant; epileptiform; paroxysmal

Mesh:

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Year:  2015        PMID: 26674366     DOI: 10.1177/1550059415621435

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  8 in total

1.  Frontal theta and posterior alpha in resting EEG: A critical examination of convergent and discriminant validity.

Authors:  Ezra E Smith; Craig E Tenke; Patricia J Deldin; Madhukar H Trivedi; Myrna M Weissman; Randy P Auerbach; Gerard E Bruder; Diego A Pizzagalli; Jürgen Kayser
Journal:  Psychophysiology       Date:  2019-10-02       Impact factor: 4.016

Review 2.  Isolated epileptiform activity in children and adolescents: prevalence, relevance, and implications for treatment.

Authors:  Ronald J Swatzyna; Martijn Arns; Jay D Tarnow; Robert P Turner; Emma Barr; Erin K MacInerney; Anne M Hoffman; Nash N Boutros
Journal:  Eur Child Adolesc Psychiatry       Date:  2020-07-14       Impact factor: 4.785

3.  Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis.

Authors:  Alik S Widge; M Taha Bilge; Rebecca Montana; Weilynn Chang; Carolyn I Rodriguez; Thilo Deckersbach; Linda L Carpenter; Ned H Kalin; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-10-03       Impact factor: 18.112

4.  Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.

Authors:  Pranav Rajpurkar; Jingbo Yang; Nathan Dass; Vinjai Vale; Arielle S Keller; Jeremy Irvin; Zachary Taylor; Sanjay Basu; Andrew Ng; Leanne M Williams
Journal:  JAMA Netw Open       Date:  2020-06-01

5.  QEEG - spectral power density of brain regions in predicting risk, resistance and resilience for bipolar disorder: A comparison of first degree relatives and unrelated healthy subjects.

Authors:  Sermin Kesebir; Ahmet Yosmaoğlu
Journal:  Heliyon       Date:  2020-06-06

6.  Clinical effects of continuous theta burst stimulation for generalized anxiety disorder and a mechanism involving α oscillations: a randomized controlled trial.

Authors:  Xidan Li; Ce Zhang; Jing Tan; Li Ding; Chun Wang; Mengmeng Wang; Yongzhong Lin
Journal:  J Psychiatry Neurosci       Date:  2022-03-31       Impact factor: 6.186

7.  Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review.

Authors:  Rebecca Strafella; Robert Chen; Tarek K Rajji; Daniel M Blumberger; Daphne Voineskos
Journal:  Front Hum Neurosci       Date:  2022-08-04       Impact factor: 3.473

Review 8.  QEEG in affective disorder: about to be a biomarker, endophenotype and predictor of treatment response.

Authors:  Sermin Kesebir; Ahmet Yosmaoğlu
Journal:  Heliyon       Date:  2018-08-22
  8 in total

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