Neurophysiological predictors of non-response to rTMS in depression

Arns, Martijn; Drinkenburg, Wilhelmus; Fitzgerald, Paul B.; Kenemans, J. Leon

doi:10.1016/j.brs.2011.12.003

Cited by 174 publications

(132 citation statements)

References 59 publications

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“…Association of the increased widespread frontal theta with nonresponse to antidepressant treatment was reported in several studies (Arns, Drinkenburg, Fitzgerald, & Kenemans, 2012;Iosifescu et al, 2009;Knott, Telner, Lapierre, Browne, & Horn, 1996;Suffin & Emory, 1995). High frontal and rostral anterior cingulate theta was found in depressed patients in a study by Arns and colleagues (2016) and associated with treatment nonresponse.…”

Section: Introductionmentioning

confidence: 77%

Infra-Low Frequency Neurofeedback in Depression: Three case studies

Grin-Yatsenko

Othmer²,

Пономарев

et al. 2018

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Electroencephalographic (EEG) findings on depressive patients indicate theta and alpha activity higher than in normal controls. Extensive literature reports on the effectiveness of neurofeedback techniques in the treatment of cognitive and behavioral disorders by training the patients to modulate their brain activities, as reflected in their electroencephalogram. Three unmedicated, depressed individuals participated in this study of infra-low frequency neurofeedback (ILF NF) training. Along with the pre-and posttreatment Depression Rating Scales assessment, quantitative EEGs (qEEG) were recorded in eyes-open and eyes-closed resting states and during the visual cued Go/NoGo task before and after 20 sessions of training. Along with remission of the clinical symptoms of depression, significant decrease of theta power over frontal and central areas was observed in all three patients under all test conditions. These qEEG dynamics might be a correlate of ILF NF-related recovery of the appropriate level of frontal cortical activation.Keywords: neurophysiology; neurofeedback; depression; qEEG; infra-low frequency

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Section: Introductionmentioning

confidence: 77%

Infra-Low Frequency Neurofeedback in Depression: Three case studies

Grin-Yatsenko

Othmer²,

Пономарев

et al. 2018

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“…Nevertheless, future studies should investigate new ways of enhancing the antidepressant effects of LF-rTMS, such as the identification of more clinically relevant stimulation parameters/protocols (eg, preconditioning paradigms/priming, different rTMS waveforms, frequencies, intensities, number of sessions, brain targets) George and AstonJones, 2010;Peterchev et al, 2011), as well as the use of baseline electrophysiological and/or neuroimaging evaluations to better predict which patients might benefit from LF-rTMS (Arns et al, 2012). Furthermore, novel developments in the field of neuromodulation, such as the H-coil (Levkovitz et al, 2010), might enhance the efficacy of LFrTMS by allowing the direct stimulation of deeper brain structures.…”

Section: Discussionmentioning

confidence: 99%

Clinically Meaningful Efficacy and Acceptability of Low-Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) for Treating Primary Major Depression: A Meta-Analysis of Randomized, Double-Blind and Sham-Controlled Trials

Berlim

Eynde

Daskalakis

2012

Neuropsychopharmacol

251

141

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Clinical trials on low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) over the right dorsolateral prefrontal cortex have yielded conflicting evidence concerning its overall efficacy for treating major depression (MD). As this may have been the result of limited statistical power of individual trials, we have carried the present systematic review and meta-analysis to examine this issue. We searched the literature for English language randomized, double-blind and sham-controlled trials (RCTs) on LF-rTMS for treating MD from 1995 through July 2012 using EMBASE, PsycINFO, Cochrane Central Register of Controlled Trials, SCOPUS, and ProQuest Dissertations & Theses, and from October 2008 until July 2012 using MEDLINE. The main outcome measures were response and remission rates as well as overall dropout rates at study end. We used a random-effects model, odds ratios (ORs) and number needed to treat (NNT). Data were obtained from eight RCTs, totaling 263 subjects with MD. After an average of 12.6±3.9 rTMS sessions, 38.2% (50/131) and 15.1% (20/132) of subjects receiving active LF-rTMS and sham rTMS were classified as responders (OR ¼ 3.35; 95% CI ¼ 1.4-8.02; p ¼ 0.007). Also, 34.6% (35/101) and 9.7% (10/103) of subjects receiving active LF-rTMS and sham rTMS were classified as remitters (OR ¼ 4.76; 95% CI ¼ 2.13-10.64; po0.0001). The associated NNT for both response and remission rates was 5. Sensitivity analyses have shown that protocols delivering 41200 magnetic pulses in total as well as those offering rTMS as a monotherapy for MD were associated with higher rates of response to treatment. No differences on mean baseline depression scores and dropout rates for active and sham rTMS groups were found. Finally, the risk of publication bias was low. In conclusion, LF-rTMS is a promising treatment for MD, as it provides clinically meaningful benefits that are comparable to those of standard antidepressants and high-frequency rTMS. Furthermore, LF-rTMS seems to be an acceptable intervention for depressed subjects.

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“…High frontal theta activity has been associated with non-response to antidepressant treatments [96,106,107] while Cook et al [108] found no differences. Seemingly contrary to this, Spronk et al [109] reported that low theta activity at the frontal midline was associated with non-response.…”

Section: Biomarkersmentioning

confidence: 99%

“…Seemingly contrary to this, Spronk et al [109] reported that low theta activity at the frontal midline was associated with non-response. Note that several authors [96,106,107] reported on widespread frontal (not midline) theta activity, most likely a reflection of ‘drowsiness' theta power as discussed above (see EEG Vigilance) on vigilance [37], whereas Spronk and colleagues found the opposite pattern for frontal midline theta activity. This suggests these two types of theta activity could have different implications and different origins.…”

Section: Biomarkersmentioning

confidence: 99%

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Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder

2015

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Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system function at the level of neuronal activity. Electroencephalography (EEG) during sleep or resting-state conditions and event-related potentials (ERPs) have not only been used to discriminate patients from healthy subjects, but also for the prediction of treatment outcome in various psychiatric diseases, yielding information about tailored therapy approaches for an individual. This review focuses on baseline EEG markers for two psychiatric conditions, namely major depressive disorder and attention deficit hyperactivity disorder. It covers potential biomarkers from EEG sleep research and vigilance regulation, paroxysmal EEG patterns and epileptiform discharges, quantitative EEG features within the EEG main frequency bands, connectivity markers and ERP components that might help to identify favourable treatment outcome. Further, the various markers are discussed in the context of their potential clinical value and as research domain criteria, before giving an outline for future studies that are needed to pave the way to an electrophysiological biomarker-based personalized medicine.

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Neurophysiological predictors of non-response to rTMS in depression

Cited by 174 publications

References 59 publications

Infra-Low Frequency Neurofeedback in Depression: Three case studies

Infra-Low Frequency Neurofeedback in Depression: Three case studies

Clinically Meaningful Efficacy and Acceptability of Low-Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) for Treating Primary Major Depression: A Meta-Analysis of Randomized, Double-Blind and Sham-Controlled Trials

Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder

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