Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review

Strafella, Rebecca; Chen, Robert; Rajji, Tarek K.; Blumberger, Daniel M.; Voineskos, Daphne

doi:10.3389/fnhum.2022.940759

Cited by 5 publications

(2 citation statements)

References 111 publications

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“…EEG is another measure that can potentially be used to predict treatment response. For the prediction of response to treatment for MDD, many types of EEG measures have been examined, including resting EEG, sleep EEG, event-related potentials (ERPs) and transcranial magnetic stimulation-evoked EEG (TMS-EEG) [10][11][12] . Some EEG measures have been investigated both to help diagnose MDD and predict treatment response from both pharmacological treatment and other therapeutic interventions 13 .…”

Section: Introductionmentioning

confidence: 99%

Baseline resting EEG measures differentiate rTMS treatment responders and non-responders

Kaewpijit,

Fitzgerald,

Hoy

et al. 2023

Preprint

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BackgroundRepetitive transcranial magnetic stimulation (rTMS) has been increasingly used worldwide in the treatment of depression, however, we currently lack the means to reliably predict whether patients will respond to the treatment. Recent research suggests that the neurophysiological measures of beta power and correlation dimension may have predictive potential, however, studies of beta power and correlation dimension to differentiate rTMS group response in individuals with major depression are limited.MethodsFifty treatment-resistant patients with major depressive disorder were recruited. Forty-two participants underwent baseline resting EEG sessions and 5-8 weeks of rTMS treatments and 12 participants were responders to the treatment. Beta power and correlation dimension from baseline resting EEG were compared between responders and non-responders.ResultsResponders demonstrated significantly lower beta power in baseline resting EEG, however, correlation dimension did not show a significant difference between groups.LimitationsThere were a small number of responders in this study.ConclusionBaseline resting beta power may help to differentiate responders from non-responders to rTMS treatment. However, further studies are needed with larger sample sizes.

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Section: Introductionmentioning

confidence: 99%

Baseline resting EEG measures differentiate rTMS treatment responders and non-responders

Kaewpijit,

Fitzgerald,

Hoy

et al. 2023

Preprint

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“…The combination of TMS with EEG (TMS-EEG) has garnered interest as a tool to record immediate and downstream cortical responses following magnetically targeted stimulation [30]. Studies using TMS-EEG have demonstrated that fronto-midline Theta power and Theta connectivity show good potential for predicting responses to rTMS treatment for depression [31].…”

Section: Introductionmentioning

confidence: 99%

Neural temporal dynamics of negative emotional symptoms after iTBS in patients with stroke: a TMS-EEG study

Liu,

Yang,

Zhang

et al. 2023

Preprint

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Background Stroke pathogenesis may be linked with aberrant neural network connections between brain regions and synapses plasticity. Furthermore, depression following a stroke does not arise from dysregulation in a singular brain region but rather from alterations across a “depression network”. While intermittent theta burst stimulation (iTBS) has been shown to alleviate depressive symptoms and modulate brain networks, but the effects of iTBS stimulation of the cerebellum on post-stroke negative emotional symptoms remain unexplored. Transcranial magnetic stimulation-electroencephalography (TMS-EEG) can offer insights into the dynamic mechanisms underlying iTBS treatment in stroke patients. Objectives The study aims to investigate the temporal dynamics of the power spectrum and functional connectivity in post-stroke patients following iTBS over the cerebellum and to determine if iTBS targeting the cerebellum alters negative emotional symptoms in these patients. Methods Twelve subacute stroke patients were enrolled, baseline data, along with clinical characteristics, were documented. Patients underwent iTBS treatment. Resting state EEG data were collected before and after in the initial and concluding iTBS sessions. Analyses were conducted on some indicators. Results Under different periods’ iTBS intervention, in both the Alpha and Beta1 bands, there was a significant difference in the power spectrum and phase synchronization within regions of interest in stroke patients. A significant correlation was observed between phase synchronization and the self-rating depression scale score. Conclusions In different periods, administering iTBS to target the cerebellum influenced the power spectrum, functional connectivity, and negative emotional symptoms in stroke patients.

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Exploring the potential of combining transcranial magnetic stimulation and electroencephalography to investigate mild cognitive impairment and Alzheimer’s disease: a systematic review

Hall,

Green,

Chen

et al. 2024

GeroScience

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Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review

Cited by 5 publications

References 111 publications

Baseline resting EEG measures differentiate rTMS treatment responders and non-responders

Baseline resting EEG measures differentiate rTMS treatment responders and non-responders

Neural temporal dynamics of negative emotional symptoms after iTBS in patients with stroke: a TMS-EEG study

Exploring the potential of combining transcranial magnetic stimulation and electroencephalography to investigate mild cognitive impairment and Alzheimer’s disease: a systematic review

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