CLoSES: A platform for closed-loop intracranial stimulation in humans

Zelmann, Rina; Paulk, Angelique C.; Basu, Ishita; Sarma, Anish A.; Yousefi, Ali; Crocker, Britni; Eskandar, Emad N.; Williams, Ziv; Cosgrove, G. Rees; Weisholtz, Daniel S.; Dougherty, Darin D.; Truccolo, Wilson; Widge, Alik S.; Cash, Sydney S.

doi:10.1016/j.neuroimage.2020.117314

Cited by 22 publications

(17 citation statements)

References 47 publications

(45 reference statements)

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“…It has high compatibility, can integrate different external stimulation and acquisition devices through USB interface, and use the graphical user interface (GUI) interface written in C++ to operate electrophysiological experiments. Closed-Loop System for Electrical Stimulation (CLoSES) [48]provides a research tool for closed-loop stimulation with iEEG in humans, it could design stimulation based on realtime detection and decoding of brain signals. Instead, this study focus on building a real-time hardware in the loop experimental platform using the embedded platform, simulating brain activities with the neural system computing model, and using the silicon-based experiment to provide reference for in vivo stimulation.…”

Section: Discussionmentioning

confidence: 99%

A Data Driven Experimental System for Individualized Brain Stimulation Design and Validation

Chang

Wang

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Deep brain stimulation (DBS) is an effective clinical treatment for epilepsy. However, the individualized setting and adaptive adjustment of DBS parameters are still facing great challenges. This paper investigates a data-driven hardwarein-the-loop (HIL) experimental system for closed-loop brain stimulation system individualized design and validation. The unscented Kalman filter (UKF) is utilized to estimate critical parameters of neural mass model (NMM) from the electroencephalogram recordings to reconstruct individual neural activity. Based on the reconstructed NMM, we build a digital signal processor (DSP) based virtual brain platform with real time scale and biological signal level scale. Then, the corresponding hardware parts of signal amplification detection and closed-loop controller are designed to form the HIL experimental system. Based on the designed experimental system, the proportionalintegral controller for different individual NMM is designed and validated, which proves the effectiveness of the experimental system. This experimental system provides a platform to explore neural activity under brain stimulation and the effects of various closed-loop stimulation paradigms. Index Terms-Deep brain stimulation, data drive, neural mass model, unscented Kalman filter, hardware-in-the-loop

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Section: Discussionmentioning

confidence: 99%

A Data Driven Experimental System for Individualized Brain Stimulation Design and Validation

Chang

Wang

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…They may be prohibited by high cost and may be difficult to implement into existing experimental protocols (Kanta et al, 2019;Rodriguez Rivero and Ditterich, 2021;Escobar Sanabria et al, 2020;Zrenner et al, 2018;Shirinpour et al, 2020). Many solutions are built atop proprietary, closed-source software such as MAT-LAB and its toolboxes (Hassan et al, 2020;Zelmann et al, 2020). These factors greatly limit reproducibility.…”

Section: Difficulty In Creating Closed Loop Experimentsmentioning

confidence: 99%

Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE)

Schatza

Blackwood

Nagrale

et al. 2021

Preprint

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Closing the loop between brain activity and behavior is one of the most active areas of development in neuroscience. There is particular interest in developing closed-loop control of neural oscillations. Many studies report correlations between oscillations and functional processes. Oscillation-informed closed-loop experiments might determine whether these relationships are causal and would provide important mechanistic insights which may lead to new therapeutic tools. These closed-loop perturbations require accurate estimates of oscillatory phase and amplitude, which are challenging to compute in real time. We developed an easy to implement, fast and accurate Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE). TORTE operates with the open-source Open Ephys GUI (OEGUI) system, making it immediately compatible with a wide range of acquisition systems and experimental preparations. TORTE efficiently extracts oscillatory phase and amplitude from a target signal and includes a variety of options to trigger closed-loop perturbations. Implementing these tools into existing experiments is easy and adds minimal latency to existing protocols. Most labs use in-house lab-specific approaches, limiting replication and extension of their experiments by other groups. Accuracy of the extracted analytic signal and accuracy of oscillation-informed perturbations with TORTE match presented results by these groups. However, TORTE provides access to these tools in a flexible, easy to use toolkit without requiring proprietary software. We hope that the availability of a high-quality, open-source, and broadly applicable toolkit will increase the number of labs able to perform oscillatory closed-loop experiments, and will improve the replicability of protocols and data across labs.

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“…Ripple Neuro [14]) with immobile participants undergoing clinically indicated SEEG who participate in voluntary research studies while hospitalized. Stimulation research studies are similarly done bedside, primarily using open-loop stimulation [15][16][17][18][19][20][21], although recent studies have begun to explore the use of closed-loop stimulation [22][23][24][25][26]. Critically, the equipment used in these research studies is expensive (up to ~$200K), bulky, and does not allow for extensive on-device customization of stimulation or complex real-time analyses for closed-loop stimulation.…”

Section: Introductionmentioning

confidence: 99%

A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely-moving humans

Topalovic

Barclay

Ling

et al. 2022

Preprint

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Advancements in technologies that can record and stimulate deep-brain activity in humans have led to impactful discoveries within the field of neuroscience and contributed to the development of novel therapies for neurological and psychiatric disorders. Further progress, however, has been hindered by device limitations in that recording of single-neuron activity during freely-moving behaviors in humans has not been possible. Additionally, implantable neurostimulation devices, currently approved for human use, have limited stimulation programmability and lack full-duplex bi-directional capability. Here, we report a wearable bi-directional closed-loop neuromodulation system (Neuro-stack) that allows for the recording of single-neuron and local field potential activity during ambulatory behavior in humans. Together with a highly flexible and customizable stimulation capability, the Neuro-stack provides an opportunity to develop improved responsive neuromodulation therapies, investigation of brain function during naturalistic behaviors in humans, and consequently, the bridging of decades of neuroscientific findings across species.

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CLoSES: A platform for closed-loop intracranial stimulation in humans

Cited by 22 publications

References 47 publications

A Data Driven Experimental System for Individualized Brain Stimulation Design and Validation

A Data Driven Experimental System for Individualized Brain Stimulation Design and Validation

Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE)

A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely-moving humans

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