Literature DB >> 18580843

QEEG changes during switch from depression to hypomania/mania: a case report.

Miloslav Kopecek1, Barbora Tislerova, Peter Sos, Martin Bares, Tomas Novak, Vladimir Krajca, Martin Brunovsky.   

Abstract

BACKGROUND: QEEG cordance and low-resolution electromagnetic tomography (LORETA) are relatively new applications of QEEG. Four small-scale studies have shown that decreases of QEEG prefrontal theta cordance after the first week on new antidepressants predict clinical response to treatment in patients with unipolar depression.
METHODS: We calculated prefrontal theta cordance and changes in 3D distribution of brain electrical activity using LORETA in the case of a 54-year old man experiencing his third depressive episode.
RESULTS: We did not detect a decrease of prefrontal theta cordance after one week of new treatment and the patient did not respond to this therapy after four weeks. However, we observed a decrease of prefrontal theta cordance after the first week of clomipramine therapy. Manic symptoms emerged after two weeks of clomipramine treatment. A decrease of prefrontal theta cordance preceded the clomipramine induced switch to hypomania during the next episode of depression also. LORETA before and during clomipramine therapies detected a significant increase of theta in the right postcentralis gyrus in the parietal lobe, and a borderline increase of alfa2 in the right middle frontal gyrus. DISCUSSION: In a patient with bipolar spectrum disorder we found that a treefold change in theta prefrontal cordance preceded mood changes in a similar way as in patients with unipolar depression. We speculate that the changes detected by LORETA can attributed to the anticholinergic activity of clomipramine and the specific effects of a mood switch. Our data suggest that the new applications of QEEG can be sensitive to mood changes and have potential in bipolar disorder research.

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Year:  2008        PMID: 18580843

Source DB:  PubMed          Journal:  Neuro Endocrinol Lett        ISSN: 0172-780X            Impact factor:   0.765


  3 in total

Review 1.  Biomarkers to predict antidepressant response.

Authors:  Andrew F Leuchter; Ian A Cook; Steven P Hamilton; Katherine L Narr; Arthur Toga; Aimee M Hunter; Kym Faull; Julian Whitelegge; Anne M Andrews; Joseph Loo; Baldwin Way; Stanley F Nelson; Steven Horvath; Barry D Lebowitz
Journal:  Curr Psychiatry Rep       Date:  2010-12       Impact factor: 5.285

2.  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

Review 3.  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
  3 in total

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