Effect of Anodal-tDCS on Event-Related Potentials: A Controlled Study

Izzidien, Ahmed; Ramaraju, Sriharsha; Roula, M.A.; McCarthy, Peter W.

doi:10.1155/2016/1584947

Cited by 8 publications

(7 citation statements)

References 40 publications

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“…Several studies have been investigating the effects of tDCS on neurophysiological parameters in healthy subjects. Izzidien et al (2016) found a significant increase in P3 power after application of anodal stimulation over the left motor cortex during a spelling task of an oddball paradigm. Keeser et al (2011) identified increased P2 and P3 amplitudes in a working memory n-back task after anodal tDCS.…”

Section: Transcranial Direct Current Stimulationmentioning

confidence: 90%

Biomarkers and neuromodulation techniques in substance use disorders

et al. 2020

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Addictive disorders are a severe health concern. Conventional therapies have just moderate success and the probability of relapse after treatment remains high. Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated substance craving. However, there are few objective and measurable parameters that reflect neural mechanisms of addictive disorders and relapse. Key electrophysiological features that characterize substance related changes in neural processing are Event-Related Potentials (ERP). These high temporal resolution measurements of brain activity are able to identify neurocognitive correlates of addictive behaviours. Moreover, ERP have shown utility as biomarkers to predict treatment outcome and relapse probability. A future direction for the treatment of addiction might include neural interfaces able to detect addiction-related neurophysiological parameters and deploy neuromodulation adapted to the identified pathological features in a closed-loop fashion. Such systems may go beyond electrical recording and stimulation to employ sensing and neuromodulation in the pharmacological domain as well as advanced signal analysis and machine learning algorithms. In this review, we describe the state-of-the-art in the treatment of addictive disorders with electrical brain stimulation and its effect on addiction-related neurophysiological markers. We discuss advanced signal processing approaches and multi-modal neural interfaces as building blocks in future bioelectronics systems for treatment of addictive disorders.

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Section: Transcranial Direct Current Stimulationmentioning

confidence: 90%

Biomarkers and neuromodulation techniques in substance use disorders

et al. 2020

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“…Both the sham and tDCS sessions consisted of 15 minutes of stimulation [20,49]. The sham session consisted of current ramping up to 1.5mA over a 8s period, followed by a 5s fade out and 870s without any significant stimulation (just impedance control).…”

Section: Anodal-tdcs (A-tdcs) Application Protocolmentioning

confidence: 99%

“…Although, tDCS appears to have induced significant change in a few cognitive studies, inconsistencies still exist [19][20][21]. A growing body of literature [19,[21][22][23] suggests the importance that individual differences may have in moderating any influence that tDCS may have on cognitive functions [24].…”

Section: Introductionmentioning

confidence: 99%

“…Single WM test protocols using a letter based n-back protocol with tDCS have shown that tDCS stimulation can increase performance in both healthy and neurologically compromised (Parkinsons disease) individuals [1,31,48]. Furthermore, a one week "wash-out" period is considered appropriate between sessions, in cross-over controlled trials of A-tDCS, to ensure little residual effect [20,30].…”

Section: Introductionmentioning

confidence: 99%

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Transcranial direct current stimulation and working memory: Comparison of effect on learning shapes and English letters

2020

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We present the results of a study investigating whether there is an effect of Anodal-Transcranial Direct Current Stimulation (A-tDCS) on working memory (WM) performance. The relative effectiveness of A-tDCS on WM is investigated using a 2-back test protocol using two commonly used memory visual stimuli (shapes and letters). In a double-blinded, randomised, crossover, sham-controlled experiment, real A-tDCS and sham A-tDCS were applied separately to the left dorsolateral prefrontal cortex (L-DLPFC) of twenty healthy subjects. There was a minimal interval of one week between sham and real A-tDCS sessions. For the letters based stimulus experiment, 2-back test recall accuracy was measured for a set of English letters (A-L) which were presented individually in a randomised order where each was separated by a blank interval. A similar 2-back protocol was used for the shapes based stimuli experiment where instead of letters, a set of 12 geometric shapes were used. The working memory accuracy scores measured appeared to be significantly affected by memory stimulus type used and by the application of A-tDCS (repeated measures ANOVA p<0.05). A large effect size (d = 0.98) and statistical significance between sham and real A-tDCS WM scores (p = 0.01) was found when shapes were used as a visual testing stimulus, while low (d = 0.38) effect size and insignificant difference (p = 0.15) was found when letters were used. This results are important as they show that recollection different stimuli used in working memory can be affected differently by A-tDCS application. This highlights the importance of considering using multiple methods of WM testing when assessing the effectiveness of A-tDCS.

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“…For example, tDCS has been used to increase P300 response, decrease P300 latency, and generally enhance the accuracy of target detection in P300-BCI systems [8]. Anodal-tDCS has led to improved P300-BCI spelling performance in neurologically impaired subjects [9]. In sensorimotor rhythm-based BCIs, the orientation interactivity was changed through tDCS interaction during non-exogenous activities [10].…”

Section: Introductionmentioning

confidence: 99%

Transcranial Direct Current Stimulation-Based Neuromodulation Improves the Performance of Brain–Computer Interfaces Based on Steady-State Visual Evoked Potential

Zhang

Gao

Cui

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to improve the performance of steady-state visual evoked potential (SSVEP)-based BCIs. The effects of pre-stimulation, sham-tDCS and anodal-tDCS are analyzed through a comparison of the EEG oscillations and fractal component characteristics. In addition, in this study, a novel brain state estimation method is introduced to assess neuromodulation-induced changes in brain arousal for SSVEP-BCIs. The results suggest that tDCS, and anodal-tDCS in particular, can be used to increase SSVEP amplitude and further improve the performance of SSVEP-BCIs. Furthermore, evidence from fractal features further validates that tDCS-based neuromodulation induces an increased level of brain state arousal. The findings of this study provide insights into the improvement of BCI performance based on personal state interventions and provide an objective method for quantitative brain state monitoring that may be used for EEG modeling of SSVEP-BCIs.

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Effect of Anodal-tDCS on Event-Related Potentials: A Controlled Study

Cited by 8 publications

References 40 publications

Biomarkers and neuromodulation techniques in substance use disorders

Biomarkers and neuromodulation techniques in substance use disorders

Transcranial direct current stimulation and working memory: Comparison of effect on learning shapes and English letters

Transcranial Direct Current Stimulation-Based Neuromodulation Improves the Performance of Brain–Computer Interfaces Based on Steady-State Visual Evoked Potential

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