The Current and Future Potential of Transcranial Magnetic Stimulation With Electroencephalography in Psychiatry

Hui, Jeanette; Tremblay, Sara; Daskalakis, Zafiris J.

doi:10.1002/cpt.1541

Cited by 38 publications

(18 citation statements)

References 75 publications

(162 reference statements)

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“…It has also been possible to evaluate changes in the functional connections between the parietal cortex and medial frontal areas within the default mode network. Moreover, a recent review (Hui and others 2019) reports evidence of the involvement of alterations in gamma oscillations in the prefrontal areas for depression and the potential of TMS-EEG to identify this as a reliable biomarker. Other studies (Colombo and others 2019) have focused on the possibility of deriving an index from TMS-EEG, which may be helpful for supporting the diagnosis and valuation of clinical conditions (i.e., consciousness disorders).…”

Section: Features Of Tms-eeg Integrationmentioning

confidence: 99%

Integrating TMS, EEG, and MRI as an Approach for Studying Brain Connectivity

2020

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The human brain is a complex network in which hundreds of brain regions are interconnected via thousands of axonal pathways. The capability of such a complex system emerges from specific interactions among smaller entities, a set of events that can be described by the activation of interconnections between brain areas. Studies that focus on brain connectivity have the aim of understanding and modeling brain function, taking into account the spatiotemporal dynamics of neural communication between brain regions. Much of the current knowledge regarding brain connectivity has been obtained from stand-alone neuroimaging methods. Nevertheless, the use of a multimodal approach seems to be a powerful way to investigate effective brain connectivity, overcoming the limitations of unimodal approaches. In this review, we will present the advantages of an integrative approach in which transcranial magnetic stimulation–electroencephalography coregistration is combined with magnetic resonance imaging methods to explore effective neural interactions. Moreover, we will describe possible implementations of the integrative approach in open- and closed-loop frameworks where real-time brain activity becomes a contributor to the study of cognitive brain networks.

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Section: Features Of Tms-eeg Integrationmentioning

confidence: 99%

Integrating TMS, EEG, and MRI as an Approach for Studying Brain Connectivity

2020

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“…While early applications of this technology were restricted to measuring or mapping motor cortex activity, the development of compatible electroencephalography (EEG) techniques has led to the growth of combined TMS/EEG to measure and manipulate motor and non-motor cortical function (Daskalakis et al, 2012;Tremblay et al, 2019). In contrast to other non-invasive modalities such as functional magnetic resonance imaging (fMRI), the superior temporal resolution of TMS/EEG offers a unique window into deficits in cellular function and synaptic transmission across cortical networks (Premoli et al, 2014;Kaskie and Ferrarelli, 2018;Hui et al, 2019). In this review, we will introduce the lay reader to general concepts pertaining to TMS/EEG and review recent studies that have employed TMS-EEG to directly measure cortical dysfunction in patients with schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

Understanding Cortical Dysfunction in Schizophrenia With TMS/EEG

et al. 2020

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In schizophrenia and related disorders, a deeper mechanistic understanding of neocortical dysfunction will be essential to developing new diagnostic and therapeutic techniques. To this end, combined transcranial magnetic stimulation and electroencephalography (TMS/EEG) provides a non-invasive tool to simultaneously perturb and measure neurophysiological correlates of cortical function, including oscillatory activity, cortical inhibition, connectivity, and synchronization. In this review, we summarize the findings from a variety of studies that apply TMS/EEG to understand the fundamental features of cortical dysfunction in schizophrenia. These results lend to future applications of TMS/EEG in understanding the pathophysiological mechanisms underlying cognitive deficits in schizophrenia.

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“… 185 , 186 More recently, it has been advocated that prefrontal excitability indexed using TMS-evoked potentials and TMS-EEG systems might be more a specific marker of NIN effects compared to MCE, as these methods can probe the cortical excitability of frontal brain areas implicated in depressive pathophysiology, with high temporal resolution. 187 However, these techniques are still novel and technically challenging, and it is still unclear which indexes better represent GABA activity. 116 These limitations notwithstanding, promising findings have been observed using this biomarker modality to predict NIN response.…”

Section: Challenges and Opportunities For Precision Non-implantable Nmentioning

confidence: 99%

Precision non-implantable neuromodulation therapies: a perspective for the depressed brain

Borrione

Bellini

Razza

et al. 2020

Braz. J. Psychiatry

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Current first-line treatments for major depressive disorder (MDD) include pharmacotherapy and cognitive-behavioral therapy. However, one-third of depressed patients do not achieve remission after multiple medication trials, and psychotherapy can be costly and time-consuming. Although nonimplantable neuromodulation (NIN) techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, electroconvulsive therapy, and magnetic seizure therapy are gaining momentum for treating MDD, the efficacy of non-convulsive techniques is still modest, whereas use of convulsive modalities is limited by their cognitive side effects. In this context, we propose that NIN techniques could benefit from a precision-oriented approach. In this review, we discuss the challenges and opportunities in implementing such a framework, focusing on enhancing NIN effects via a combination of individualized cognitive interventions, using closed-loop approaches, identifying multimodal biomarkers, using computer electric field modeling to guide targeting and quantify dosage, and using machine learning algorithms to integrate data collected at multiple biological levels and identify clinical responders. Though promising, this framework is currently limited, as previous studies have employed small samples and did not sufficiently explore pathophysiological mechanisms Brazilian Psychiatric Association 0 0 0 0 0 0 0 0 -0 0 0 2 -7 3 1 6 -1 1 8 5 associated with NIN response and side effects. Moreover, cost-effectiveness analyses have not been performed. Nevertheless, further advancements in clinical trials of NIN could shift the field toward a more ''precision-oriented'' practice. DisclosureZ-DD is listed as inventor on patents/patent applications related to brain stimulation technology, assigned to Columbia University and NEVA Electromagnetics, not licensed, and with no remuneration. Although he is an employee of the U.S. government, the views expressed Braz J Psychiatry. 2020;00 (00) Precision NIN for depression

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The Current and Future Potential of Transcranial Magnetic Stimulation With Electroencephalography in Psychiatry

Cited by 38 publications

References 75 publications

Integrating TMS, EEG, and MRI as an Approach for Studying Brain Connectivity

Integrating TMS, EEG, and MRI as an Approach for Studying Brain Connectivity

Understanding Cortical Dysfunction in Schizophrenia With TMS/EEG

Precision non-implantable neuromodulation therapies: a perspective for the depressed brain

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