Literature DB >> 18751560

Long-term effects of left frontal rTMS on EEG and ERPs in patients with depression.

Desirée Spronk1, Martijn Arns, Aukje Bootsma, Rosalinde van Ruth, Paul B Fitzgerald.   

Abstract

Repetitive transcranial magnetic stimulation (rTMS) treatment for depression has been under investigation in many controlled studies over the last 20 years. Little is known about the neurobiological action of rTMS in patients. We therefore investigated pre- and post-treatment effects on QEEG, ERP's and behavior (BDI and NEO-FFI). rTMS treatment was applied in 8 subjects for an average of 21 sessions to the left Dorsolateral Prefrontal Cortex (left DLPFC). Clients were assessed on a QEEG and Oddball ERP evaluation pre- and post-treatment. Clients were stimulated over the left DLPFC with 10 Hz rTMS (100% MT). Furthermore, rTMS treatment was complimented by psychotherapy. All subjects showed full remission within 20 sessions and there was a significant reduction in depressive symptomatology (BDI score) after 10 and 15 sessions and a clear decrease in the Neuroticism and an increase on the extraversion scale of the NEO-FFI personality questionnaire. Pre- and post-QEEG measurements did not reveal treatment specific effects, but only an indirect right frontal increase in delta power. On the other hand, ERP measures did reveal treatment specific effects by showing an increased positivity in the post-treatment ERP's specifically left frontal. The P2 amplitude demonstrated a significant left frontal increase in amplitude, whereas for the negative N1 and N2 a significant decrease in amplitude was observed. The results of this pilot study demonstrate that rTMS can be a safe and efficacious treatment modality for depression. Furthermore, a specific left frontal increase in positivity for the ERP's was found (increased P2 and decreased N1 and N2 components) most likely related to the rTMS over the left DLPFC. Furthermore, there was no change in the alpha asymmetry lending support to the fact that frontal alpha asymmetry can be considered a trait marker for depression. The findings from this pilot study require future replication with larger sample sizes.

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Year:  2008        PMID: 18751560     DOI: 10.1177/155005940803900305

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


  12 in total

1.  Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

Authors:  Amin Zandvakili; Noah S Philip; Stephanie R Jones; Audrey R Tyrka; Benjamin D Greenberg; Linda L Carpenter
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2. 

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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

Review 4.  The clinical use of quantitative EEG in cognitive disorders.

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Journal:  Dement Neuropsychol       Date:  2009 Jul-Sep

5.  Complexity Analysis of EEG Data in Persons With Depression Subjected to Transcranial Magnetic Stimulation.

Authors:  Karolina Lebiecka; Urszula Zuchowicz; Agata Wozniak-Kwasniewska; David Szekely; Elzbieta Olejarczyk; Olivier David
Journal:  Front Physiol       Date:  2018-09-28       Impact factor: 4.566

Review 6.  Electroencephalogram alpha asymmetry in patients with depressive disorders: current perspectives.

Authors:  Andreas Kurt Kaiser; Maria-Theresa Gnjezda; Stephanie Knasmüller; Wolfgang Aichhorn
Journal:  Neuropsychiatr Dis Treat       Date:  2018-06-11       Impact factor: 2.570

7.  Antidepressant effects of sleep deprivation require astrocyte-dependent adenosine mediated signaling.

Authors:  D J Hines; L I Schmitt; R M Hines; S J Moss; P G Haydon
Journal:  Transl Psychiatry       Date:  2013-01-15       Impact factor: 6.222

8.  Impaired prefronto-thalamic functional connectivity as a key feature of treatment-resistant depression: a combined MEG, PET and rTMS study.

Authors:  Cheng-Ta Li; Li-Fen Chen; Pei-Chi Tu; Shyh-Jen Wang; Mu-Hong Chen; Tung-Ping Su; Jen-Chuen Hsieh
Journal:  PLoS One       Date:  2013-08-02       Impact factor: 3.240

9.  Window View and the Brain: Effects of Floor Level and Green Cover on the Alpha and Beta Rhythms in a Passive Exposure EEG Experiment.

Authors:  Agnieszka Olszewska-Guizzo; Nicolas Escoffier; Jane Chan; Tan Puay Yok
Journal:  Int J Environ Res Public Health       Date:  2018-10-25       Impact factor: 3.390

10.  Stability of frontal alpha asymmetry in depressed patients during antidepressant treatment.

Authors:  Nikita van der Vinne; Madelon A Vollebregt; Michel J A M van Putten; Martijn Arns
Journal:  Neuroimage Clin       Date:  2019-10-31       Impact factor: 4.881

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