Transcranial Direct Current Stimulation Effects on Memory Consolidation: Timing Matters

Vorobiova, Alicia Nunez; Pozdniakov, Ivan; Feurra, Matteo

doi:10.1523/eneuro.0481-18.2019

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…Thus, even within the motor domain, conjunctive tDCS could exert modulation of specific motor functions. Taken together, our results strongly support the notion that functional specificity of tDCS depends on not only the spatiotemporal pattern of electric fields applied ( 30 ) but also on the temporal conjunction of tDCS with the activation of specific circuits underlying the targeted function.…”

supporting

confidence: 85%

Neural mechanism underlying task-specific enhancement of motor learning by concurrent transcranial direct current stimulation

Wang

Zhang

et al. 2021

Preprint

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Transcranial direct current stimulation (tDCS) is used for modulating brain functions, but the optimal protocol remains unclear. We found that mouse learning to run on a rotarod was enhanced by anodal tDCS during (“online”) but not before or after (“offline”) the task performance. The enhancement was task-specific, since online tDCS during rotarod learning did not affect learning of beam walking, and vice versa. For mice underwent middle cerebral artery occlusion (MCAO), online anodal tDCS restored motor learning capability in a task-specific manner. Transcranial calcium imaging showed that anodal and cathodal tDCS elevated and suppressed cortical neuronal activity, respectively, suggesting that elevated spiking in task-activated neural circuits underlie the learning enhancement. Thus, the efficacy of tDCS could be elevated by conjunctive activation of targeted neural circuits.One sentence summaryTranscranial direct current stimulation applied in temporal conjunction with the motor task enhances motor learning in a task-specific manner.

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supporting

confidence: 85%

Neural mechanism underlying task-specific enhancement of motor learning by concurrent transcranial direct current stimulation

Wang

Zhang

et al. 2021

Preprint

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“…However, there is still a lack of understanding about the exact mechanisms that modulate cortical activity as a function of tACS administration 17 , 18 . These effects are in general mixed and controversial, since they depend on a number of stimulation parameters, such as stimulation duration, intensity, electrodes montage and size, stimulation phase and frequency 17 , 19 , 20 . Therefore, further investigation is needed to reach a comprehensive understanding of tACS effects.…”

Section: Introductionmentioning

confidence: 99%

Online and offline effects of transcranial alternating current stimulation of the primary motor cortex

Pozdniakov

Vorobiova

Galli

et al. 2021

Sci Rep

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Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation technique that allows interaction with endogenous cortical oscillatory rhythms by means of external sinusoidal potentials. The physiological mechanisms underlying tACS effects are still under debate. Whereas online (e.g., ongoing) tACS over the motor cortex induces robust state-, phase- and frequency-dependent effects on cortical excitability, the offline effects (i.e. after-effects) of tACS are less clear. Here, we explored online and offline effects of tACS in two single-blind, sham-controlled experiments. In both experiments we used neuronavigated transcranial magnetic stimulation (TMS) of the primary motor cortex (M1) as a probe to index changes of cortical excitability and delivered M1 tACS at 10 Hz (alpha), 20 Hz (beta) and sham (30 s of low-frequency transcranial random noise stimulation; tRNS). Corticospinal excitability was measured by single pulse TMS-induced motor evoked potentials (MEPs). tACS was delivered online in Experiment 1 and offline in Experiment 2. In Experiment 1, the increase of MEPs size was maximal with the 20 Hz stimulation, however in Experiment 2 neither the 10 Hz nor the 20 Hz stimulation induced tACS offline effects. These findings support the idea that tACS affects cortical excitability only during online application, at least when delivered on the scalp overlying M1, thereby contributing to the development of effective protocols that can be applied to clinical populations.

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“…A variety of electrical approaches are also available, with transcranial electrical stimulation (tES) applying low-intensity electrical currents ( Massimini et al, 2007 ; Nomura et al, 2019 ; Perceval et al, 2020 ), and, depending on the waveform, being categorized as transcranial direct current stimulation (tDCS) ( Perceval et al, 2020 ), tACS ( Nomura et al, 2019 ), slow oscillatory tDCS (so-tDCS) ( Binder et al, 2014 ), or transcranial random noise stimulation ( Pasqualotto, 2016 ). All these different types of tES improve learning outcomes ( Vorobiova et al, 2019 ; Au et al, 2022 ) and influence memory consolidation by increasing the likelihood of action potentials in prefrontal regions, where SOs are generated ( Murphy et al, 2009 ), thereby enhancing SOs and spindle activity ( Dondé et al, 2021 ). Despite the great potential and ongoing progress, several factors contribute to SO-focused brain stimulation techniques giving rise to highly varying outcomes, and challenges in achieving consistent results ( Eggert et al, 2013 ; Sahlem et al, 2015 ; Paßmann et al, 2016 ; Nilsson et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

A classification-based generative approach to selective targeting of global slow oscillations during sleep

Alipour,

Seok,

Mednick

et al. 2024

Front. Hum. Neurosci.

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BackgroundGiven sleep’s crucial role in health and cognition, numerous sleep-based brain interventions are being developed, aiming to enhance cognitive function, particularly memory consolidation, by improving sleep. Research has shown that Transcranial Alternating Current Stimulation (tACS) during sleep can enhance memory performance, especially when used in a closed-loop (cl-tACS) mode that coordinates with sleep slow oscillations (SOs, 0.5−1.5Hz). However, sleep tACS research is characterized by mixed results across individuals, which are often attributed to individual variability.Objective/HypothesisThis study targets a specific type of SOs, widespread on the electrode manifold in a short delay (“global SOs”), due to their close relationship with long-term memory consolidation. We propose a model-based approach to optimize cl-tACS paradigms, targeting global SOs not only by considering their temporal properties but also their spatial profile.MethodsWe introduce selective targeting of global SOs using a classification-based approach. We first estimate the current elicited by various stimulation paradigms, and optimize parameters to match currents found in natural sleep during a global SO. Then, we employ an ensemble classifier trained on sleep data to identify effective paradigms. Finally, the best stimulation protocol is determined based on classification performance.ResultsOur study introduces a model-driven cl-tACS approach that specifically targets global SOs, with the potential to extend to other brain dynamics. This method establishes a connection between brain dynamics and stimulation optimization.ConclusionOur research presents a novel approach to optimize cl-tACS during sleep, with a focus on targeting global SOs. This approach holds promise for improving cl-tACS not only for global SOs but also for other physiological events, benefiting both research and clinical applications in sleep and cognition.

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Transcranial Direct Current Stimulation Effects on Memory Consolidation: Timing Matters

Cited by 7 publications

References 35 publications

Neural mechanism underlying task-specific enhancement of motor learning by concurrent transcranial direct current stimulation

Neural mechanism underlying task-specific enhancement of motor learning by concurrent transcranial direct current stimulation

Online and offline effects of transcranial alternating current stimulation of the primary motor cortex

A classification-based generative approach to selective targeting of global slow oscillations during sleep

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