Clinician Accessible Tools for GUI Computational Models of Transcranial Electrical Stimulation: BONSAI and SPHERES

Truong, Dennis Q.; Hüber, Mathias; Xie, Xihe; Datta, Abhishek; Rahman, Asif; Parra, Lucas C.; Dmochowski, Jacek; Bikson, Marom

doi:10.1016/j.brs.2014.03.009

Cited by 53 publications

(31 citation statements)

References 31 publications

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“…Despite the availability of freely-available tools for constructing forward models (Thielscher et al, 2015; Jung et al, 2013; Truong et al, 2014; SimBio Development Group, 2017), their widespread adoption for designing TES interventions has not transpired. One potential reason for this is the high cost of acquiring structural MRI scans for study participants.…”

Section: Discussionmentioning

confidence: 99%

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

et al. 2017

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To demonstrate causal relationships between brain and behavior, investigators would like to guide brain stimulation using measurements of neural activity. Particularly promising in this context are electroencephalography (EEG) and transcranial electrical stimulation (TES), as they are linked by a reciprocity principle which, despite being known for decades, has not led to a formalism for relating EEG recordings to optimal stimulation parameters. Here we derive a closed-form expression for the TES configuration that optimally stimulates (i.e., targets) the sources of recorded EEG, without making assumptions about source location or distribution. We also derive a duality between TES targeting and EEG source localization, and demonstrate that in cases where source localization fails, so does the proposed targeting. Numerical simulations with multiple head models confirm these theoretical predictions and quantify the achieved stimulation in terms of focality and intensity. We show that constraining the stimulation currents automatically selects optimal montages that involve only a few (4–7) electrodes, with only incremental loss in performance when targeting focal activations. The proposed technique allows brain scientists and clinicians to rationally target the sources of observed EEG and thus overcomes a major obstacle to the realization of individualized or closed-loop brain stimulation.

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Section: Discussionmentioning

confidence: 99%

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

et al. 2017

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“…Eventually, this variety of possibilities will allow for broadranging applications and fine-grained targeting from underlying theoretical models. Currently, however, simplification or even standardization of certain parameters would facilitate cumulative research, and the ongoing development of electric field modeling tools can already be used for selecting stimulation targets (Truong et al 2014). Regarding numerical processes, stimulations should be administered concurrently to a task and could then achieve neurostructural precision following task-selective recruitment (Clemens et al 2013;Bikson and Rahman 2013), but effectivity can vary according to individual differences.…”

Section: Tes Configurationsmentioning

confidence: 99%

Cognitive Enhancement of Numerical and Arithmetic Capabilities: a Mini-Review of Available Transcranial Electric Stimulation Studies

et al. 2017

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Arithmetic capabilities are complex cognitive skills essential for handling requirements of the modern world. At the same time, educational institutions are challenged with mathrelated problems, e.g., developmental dyscalculia and math anxiety, and also with less severe difficulties of arithmetic understanding. Thus, non-invasive techniques for cognitive enhancement have attracted researchers' and practitioners' interest in the fields of education, psychology, and neuroscience. Particularly, studies employing transcranial electric stimulation (tES) in arithmetic learning, problem solving, and performance in numerical tasks and operations have shaped an optimistic perspective of cognitive enhancement in these domains, building on the fronto-parietal correlates of healthy and deficient arithmetic performance and learning. However, the heterogeneity of stimulation approaches in numerical cognition researchwith different electrode montages, stimulation protocols, tasks, outcomes, and combinations thereof-may also showcase a variety of parameters relevant more generally to the cognitive domain. Here, we present a short overview of the different tES approaches to enhance numerical and arithmetic capabilities in performance and training within the general framework of cognitive enhancement. We conclude that performance and training gains can be obtained from different strategical tES configurations, but more standardization, better translation between neurodevelopmental perspectives and tES principles, as well as pre-registered and controlled studies in critical populations are needed.

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“…Since the duration of each session and the total amount of current flow cannot be changed much for safety reasons, we should primarily focus on establishing appropriate parameters. In fact, electrode placement (including HD-tDCS) and type (mode) of current flow (including tACS and tRNS) could be good candidates, as supported by electrophysiological modeling (Truong et al 2014;Eichelbaum et al 2014). …”

Section: Conclusion and Recommendationsmentioning

confidence: 94%

“…Available data are still insufficient, and further efforts, e.g. robust biological modeling and computerized simulation (Truong et al 2014), may help solve these issues. Especially, we should be aware that precise modeling of the induced electrical fields at the level of the individual brain is desirable in order to better estimate biological effects.…”

Section: Cognitive Enhancementmentioning

confidence: 99%

Application of transcranial direct current stimulation to psychiatric disorders: trends and perspectives

Yokoi

Sumiyoshi

2015

Neuropsychiatr Electrophysiol

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Background: Growing attention is paid to transcranial direct current stimulation (tDCS) as a novel neuromodulation method in the treatment of psychiatric illnesses. In spite of its simple procedure, electrophysiological influence of tDCS is complex and not fully understood. Therefore, its procedure and clinical application is yet to be established. To address this issue, we reviewed and summarized reports currently available, and proposed future directions. Methods: We searched PubMed for the literature of tDCS, targeting depression, cognitive enhancement or schizophrenia, sham-controlled, and repeated stimulation sessions. Results: Among psychiatric conditions, depression is most associated with positive effects of tDCS, based on the recent systematic review, due to homogeneity in methodology adopted in randomized sham-controlled trials. For cognitive enhancement and/or treatment of schizophrenia, results are less consistent, and the methods are more heterogeneous. Conclusion: Large-scale well-designed trials are needed to more accurately evaluate the efficacy of tDCS. In this article, considerations of optimal stimulation conditions are also provided.

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Clinician Accessible Tools for GUI Computational Models of Transcranial Electrical Stimulation: BONSAI and SPHERES

Cited by 53 publications

References 31 publications

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

Cognitive Enhancement of Numerical and Arithmetic Capabilities: a Mini-Review of Available Transcranial Electric Stimulation Studies

Application of transcranial direct current stimulation to psychiatric disorders: trends and perspectives

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