Stability of frontal alpha asymmetry in depressed patients during antidepressant treatment

Vinne, Nikita van der; Vollebregt, Madelon A.; Putten, Michel J.A.M. van; Arns, Martijn

doi:10.1016/j.nicl.2019.102056

Cited by 29 publications

(29 citation statements)

References 38 publications

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“…None of differences were found between patients with MDD and healthy individuals. It has been suggested that FAA does not work as a biomarker to differentiate patients with MDD and patients with non-MDD or healthy controls [59]. Some of ndings showed that FAA could be more speci c for treatment response of medication [59,60].…”

Section: Discussionmentioning

confidence: 99%

“…It has been suggested that FAA does not work as a biomarker to differentiate patients with MDD and patients with non-MDD or healthy controls [59]. Some of ndings showed that FAA could be more speci c for treatment response of medication [59,60]. Furthermore, FAA was involved in the risky trait such as a suicidal behavior or ideation in patients with MDD [58,61].…”

Section: Discussionmentioning

confidence: 99%

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Comparison of frontal alpha asymmetry among schizophrenia patients, major depressive disorder, and healthy controls

Jang¹,

Lee

et al. 2020

Preprint

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Background: Electroencephalography (EEG) frontal alpha asymmetry (FAA) has been observed in several psychiatric disorders. Dominance in left or right frontal alpha activity remains inconsistent in patients with major depressive disorder (MDD), patients with schizophrenia, and healthy controls. This study compared FAA among patients with MDD and schizophrenia, and healthy controls.Methods: We recruited 20 patients with MDD, 18 patients with schizophrenia, and 16 healthy individuals. The EEG alpha frequency ranged from 8 Hz to 12 Hz. FAA was expressed as the difference between absolute power values of right and left hemisphere electrodes in the alpha frequency range (common-log-transformed frontal right- and left-hemisphere electrodes: F4–F3, F8–F7, FP2–FP1, AF4–AF3, F6–F5, and F2–F1). Hamilton depression and anxiety rating scales were evaluated in patients with MDD. Positive and negative syndrome scales were evaluated in patients with schizophrenia.Results: Patients with schizophrenia showed significantly lower left FAA than healthy controls (F4–F3, schizophrenia vs. healthy controls: -0.10 ± 0.04 vs. -0.05 ± 0.05). There were no significant differences in FAA between patients with schizophrenia and MDD as well as between patients with MDD and healthy controls.Conclusions: The present study suggests that FAA indicates a relatively lower activation of left frontal electrodes in schizophrenia. The left-lateralized FAA could be a neuropathological attribute in patients with schizophrenia, but a lack of sample size and information such as medication and duration of illness might obscure the interpretation and generalization of our findings. Thus, further studies to verify the findings would be warranted.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Comparison of frontal alpha asymmetry among schizophrenia patients, major depressive disorder, and healthy controls

Jang¹,

Lee

et al. 2020

Preprint

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“…eLORETA eLORETA analysis demonstrated that responders compared to nonresponders, had significantly lower alpha-2 sources in the frontal lobe [Brodmann area (BA) 6, 8, 9, 32, 44, 45, 46], limbic lobe (BA 24,33), and the insula (BA 13) ( Figure 2 and Table 2). Similarly, responders showed significantly lower beta-1 current densities in the frontal lobe (BA 6, 8, 9, 44), limbic lobe (BA 24), and the insula (BA 13) ( Figure 3 and Table 3).…”

Section: Spectral Power and Asymmetrymentioning

confidence: 99%

“…A recent study showed that patients responding to treatment with escitalopram exhibited elevated absolute alpha power in their left hemisphere while non-responders demonstrated the opposite (23). Greater right frontal alpha is associated with response to escitalopram and sertraline, but only for females (24,25) while less alpha current source density in posterior areas has been associated with nonresponse in unmedicated depressed patients (26,27). Moreover, successful antidepressant treatment of patients with more severe depression is accompanied by an increase in the left DLPFC and amygdala upper alpha EEG activity (28).…”

Section: Introductionmentioning

confidence: 99%

Baseline Difference in Quantitative Electroencephalography Variables Between Responders and Non-Responders to Low-Frequency Repetitive Transcranial Magnetic Stimulation in Depression

et al. 2020

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Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depressive disorder, with outcomes approaching 45-55% response and 30-40% remission. Eligible predictors of treatment outcome, however, are still lacking. Few studies have investigated quantitative electroencephalography (QEEG) parameters as predictors of rTMS treatment outcome and none of them have addressed the source localization techniques to predict the response to low-frequency rTMS (LF rTMS). We investigated electrophysiological differences based on scalp EEG data and inverse solution method, exact low-resolution brain electromagnetic tomography (eLORETA), between responders and non-responders to LF rTMS in resting brain activity recorded prior to the treatment. Twenty-five unmedicated depressive patients (mean age of 45.7 years, 20 females) received a 4week treatment of LF rTMS (1 Hz; 20 sessions per 600 pulses; 100% of the motor threshold) over the right dorsolateral prefrontal cortex. Comparisons between responders (≥50% reduction in Montgomery-Åsberg Depression Rating Scale score) and nonresponders were made at baseline for measures of eLORETA current density, spectral absolute power, and inter-hemispheric and intra-hemispheric EEG asymmetry. Responders were found to have lower current source densities in the alpha-2 and beta-1 frequency bands bilaterally (with predominance on the left side) in the inferior, medial, and middle frontal gyrus, precentral gyrus, cingulate gyrus, anterior cingulate, and insula. The most pronounced difference was found in the left middle frontal gyrus for alpha-2 and beta-1 bands (p < 0.05). Using a spectral absolute power analysis, we found a negative correlation between the absolute power in beta and theta frequency bands on the left frontal electrode F7 and the change in depressive symptomatology. None of the selected asymmetries significantly differentiated responders from non-responders in any frequency band. Pre-treatment reduction of alpha-2 and beta-1 sources, but not QEEG asymmetry, was found in patients with major depressive disorder who responded to LF

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“…Additionally, while participants in the original dataset (Bailey et al, 2019) were mostly taking antidepressants (and also mood stabilizers or antidepressants, or no medications in a small number of cases), the replication dataset Chapter 2) was a naturalistic sample so did not obtain verified data on medication use. However, recent research examining frontal alpha asymmetry has shown the measure could accurately predict response both prior to and after SSRI treatment, suggesting that successful prediction of treatment response with EEG measures is likely to be robust to differences in medication status (van der Vinne, Vollebregt, van Putten, & Arns, 2019). Lastly, the two samples measured depression severity (and as such defined response to treatment) using different scales.…”

Section: Discussionmentioning

confidence: 99%

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Stability of frontal alpha asymmetry in depressed patients during antidepressant treatment

Abstract: HighlightsFrontal alpha asymmetry (FAA) is moderately stable over time.Antidepressant response prediction with FAA remains consistent, even after 8 weeks of treatment.FAA is a differential predictor of antidepressant response robust to state and drug effects.

Cited by 29 publications

References 38 publications

Comparison of frontal alpha asymmetry among schizophrenia patients, major depressive disorder, and healthy controls

Comparison of frontal alpha asymmetry among schizophrenia patients, major depressive disorder, and healthy controls

Baseline Difference in Quantitative Electroencephalography Variables Between Responders and Non-Responders to Low-Frequency Repetitive Transcranial Magnetic Stimulation in Depression

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