Literature DB >> 11296311

Prefrontal changes and treatment response prediction in depression.

I A Cook1, A F Leuchter.   

Abstract

A continuing challenge in the treatment of depression is how to determine whether an effective drug has been selected for a particular patient, given that individuals will respond to some antidepressants but not others. The factors that contribute to response for each person have been examined from a variety of perspectives, both psychological and physiological. Advances in neuroimaging and in quantitative electroencephalography (QEEG) have made it possible to examine features of brain activity that are associated with response. A new QEEG measure, cordance, is correlated with regional cortical perfusion, and has been used with retrospective and prospective studies to evaluate specific findings that are predictive of clinical response in major depression. We present here a series of depressed subjects treated with antidepressants of different classes; decreases in prefrontal activity were seen as early as 48 hours into treatment in responders and were absent in nonresponders. These findings suggest a role for the prefrontal region in mediating response to medications with different mechanisms of action and raise the possibility of using new QEEG measures to identify changes in brain activity that are predictive of clinical outcome from antidepressant treatment. Copyright 2001 Copyright by W.B. Saunders Company.

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Year:  2001        PMID: 11296311     DOI: 10.1053/scnp.2001.21844

Source DB:  PubMed          Journal:  Semin Clin Neuropsychiatry        ISSN: 1084-3612


  12 in total

1.  Multiweek resting EEG cordance change patterns from repeated olfactory activation with two constitutionally salient homeopathic remedies in healthy young adults.

Authors:  Iris R Bell; Amy Howerter; Nicholas Jackson; Audrey J Brooks; Gary E Schwartz
Journal:  J Altern Complement Med       Date:  2012-05       Impact factor: 2.579

2.  Testing the nanoparticle-allostatic cross-adaptation-sensitization model for homeopathic remedy effects.

Authors:  Iris R Bell; Mary Koithan; Audrey J Brooks
Journal:  Homeopathy       Date:  2013-01       Impact factor: 1.444

Review 3.  Fostering a healing presence and investigating its mediators.

Authors:  Sharon I McDonough-Means; Mary Jo Kreitzer; Iris R Bell
Journal:  J Altern Complement Med       Date:  2004       Impact factor: 2.579

4.  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

5.  Midline and right frontal brain function as a physiologic biomarker of remission in major depression.

Authors:  Ian A Cook; Aimee M Hunter; Michelle Abrams; Barbara Siegman; Andrew F Leuchter
Journal:  Psychiatry Res       Date:  2009-10-22       Impact factor: 3.222

6.  Predicting therapeutic response to secondary treatment with bupropion: dichotic listening tests of functional brain asymmetry.

Authors:  Gerard E Bruder; Jonathan W Stewart; Jennifer D Schaller; Patrick J McGrath
Journal:  Psychiatry Res       Date:  2007-07-24       Impact factor: 3.222

7.  Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression: A Randomized Clinical Trial.

Authors:  Diego A Pizzagalli; Christian A Webb; Daniel G Dillon; Craig E Tenke; Jürgen Kayser; Franziska Goer; Maurizio Fava; Patrick McGrath; Myrna Weissman; Ramin Parsey; Phil Adams; Joseph Trombello; Crystal Cooper; Patricia Deldin; Maria A Oquendo; Melvin G McInnis; Thomas Carmody; Gerard Bruder; Madhukar H Trivedi
Journal:  JAMA Psychiatry       Date:  2018-06-01       Impact factor: 21.596

8.  Pilot Study of An Intracranial Electroencephalography Biomarker of Depressive Symptoms in Epilepsy.

Authors:  Katherine W Scangos; Hasan S Ahmad; Alia Shafi; Kristin K Sellers; Heather E Dawes; Andrew Krystal; Edward F Chang
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2019-08-09       Impact factor: 2.198

9.  Evaluation of quantitative EEG by classification and regression trees to characterize responders to antidepressant and placebo treatment.

Authors:  M Rabinoff; C M R Kitchen; I A Cook; A F Leuchter
Journal:  Open Med Inform J       Date:  2011-02-11

10.  A wavelet-based technique to predict treatment outcome for Major Depressive Disorder.

Authors:  Wajid Mumtaz; Likun Xia; Mohd Azhar Mohd Yasin; Syed Saad Azhar Ali; Aamir Saeed Malik
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

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