Investigation of the spatial and spectral patterns of hand extension/flexion using high-density ECoG

Jiang, Tianxiao; Ince, Nuri F.; Jiang, Tao; Wang, Taylor; Mei, Shenshen; Li, Yunlin; Wang, Xiaofei; Prabhu, Sujit S.; Sha, Zhiyi

doi:10.1109/ner.2015.7146691

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…A variety of movement types can be decoded from ECoG signals. These are wrist flexion and extension (Satow et al, 2003; Gharabaghi et al, 2014; Spüler et al, 2014a; Jiang et al, 2015, 2017), various grasp types (Graimann et al, 2003; Miller et al, 2007; Pistohl et al, 2012; Chestek et al, 2013; Xie et al, 2015) hand gestures and postures (Graimann et al, 2003; Chestek et al, 2013; Bleichner et al, 2016; Li et al, 2017), individual finger movement (Graimann et al, 2003; Kubanek et al, 2009; Miller et al, 2009; Samiee et al, 2010; Wang et al, 2011; Elghrabawy and Wahed, 2012; Flamary and Rakotomamonjy, 2012; Liang and Bougrain, 2012; Chestek et al, 2013; Chen et al, 2014; Xie et al, 2018), tongue and lip protrusion (Graimann et al, 2003; Satow et al, 2003; Miller et al, 2007; Paul et al, 2017), and foot movements (Toro et al, 1994b; Satow et al, 2003). While cortical areas contralateral to the moving body part are usually used for decoding, the option of using ipsilateral cortex has been considered as well (Hotson et al, 2014).…”

Section: Motor Paradigmsmentioning

confidence: 99%

Decoding Movement From Electrocorticographic Activity: A Review

Volkova

Lebedev

Kaplan

et al. 2019

Front. Neuroinform.

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Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive methods. ECoG is routinely used in clinical practice for preoperative cortical mapping in epileptic patients. During the last two decades, research utilizing ECoG has considerably grown, including the paradigms where behaviorally relevant information is extracted from ECoG activity with decoding algorithms of different complexity. Several research groups have advanced toward the development of assistive devices driven by brain-computer interfaces (BCIs) that decode motor commands from multichannel ECoG recordings. Here we review the evolution of this field and its recent tendencies, and discuss the potential areas for future development.

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Section: Motor Paradigmsmentioning

confidence: 99%

Decoding Movement From Electrocorticographic Activity: A Review

Volkova

Lebedev

Kaplan

et al. 2019

Front. Neuroinform.

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“…Strips, as used in this study, are used in intracranial video-EEG monitoring in the pre-surgical workup of patients with refractory focal epilepsy. Further applications are cortex stimulation (Saitoh and Koichi, 2009), brain mapping (Pirotte et al, 2009), ECoG or microECoG recording (Gupta et al, 2014;Hamilton et al, 2017;Jiang et al, 2017), and spinal cord stimulation (Kemler et al, 2000). The dimension of the electrode-tissue interface here termed "electrode contact" is a key parameter for electrical stimulation and bioelectrical signal recording (Cogan, 2008).…”

Section: Implantable Planar Electrodes and The Trend Towards Smaller Electrode Contact Diametersmentioning

confidence: 99%

It's the little things: On the complexity of planar electrode heating in MRI

et al. 2019

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Neurological disorders are increasingly analysed and treated with implantable electrodes, and patients with such electrodes are studied with MRI despite the risk of radio-frequency (RF) induced heating during the MRI exam. Recent clinical research suggests that electrodes with smaller diameters of the electrical interface between implant and tissue are beneficial; however, the influence of this electrode contact diameter on RF-induced heating has not been investigated. In this work, electrode contact diameters between 0.3 and 4 mm of implantable electrodes appropriate for stimulation and electrocorticography were evaluated in a 1.5 T MRI system. In situ temperature measurements adapted from the ASTM standard test method were performed and complemented by simulations of the specific absorption rate (SAR) to assess local SAR values, temperature increase and the distribution of dissipated power. Measurements showed temperature changes between 0.8 K and 53 K for different electrode contact diameters, which is well above the legal limit of 1 K. Systematic errors in the temperature measurements are to be expected, as the temperature sensors may disturb the heating pattern near small electrodes. Compared to large

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A portable platform to collect and review behavioral data simultaneously with neurophysiological signals

Jiang

Siddiqui

Ray

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This paper presents a portable platform to collect and review behavioral data simultaneously with neurophysiological signals. The whole system is comprised of four parts: a sensor data acquisition interface, a socket server for real-time data streaming, a Simulink system for real-time processing and an offline data review and analysis toolbox. A low-cost microcontroller is used to acquire data from external sensors such as accelerometer and hand dynamometer. The micro-controller transfers the data either directly through USB or wirelessly through a bluetooth module to a data server written in C++ for MS Windows OS. The data server also interfaces with the digital glove and captures HD video from webcam. The acquired sensor data are streamed under User Datagram Protocol (UDP) to other applications such as Simulink/Matlab for real-time analysis and recording. Neurophysiological signals such as electroencephalography (EEG), electrocorticography (ECoG) and local field potential (LFP) recordings can be collected simultaneously in Simulink and fused with behavioral data. In addition, we developed a customized Matlab Graphical User Interface (GUI) software to review, annotate and analyze the data offline. The software provides a fast, user-friendly data visualization environment with synchronized video playback feature. The software is also capable of reviewing long-term neural recordings. Other featured functions such as fast preprocessing with multithreaded filters, annotation, montage selection, power-spectral density (PSD) estimate, time-frequency map and spatial spectral map are also implemented.

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Investigation of the spatial and spectral patterns of hand extension/flexion using high-density ECoG

Cited by 5 publications

References 13 publications

Decoding Movement From Electrocorticographic Activity: A Review

Decoding Movement From Electrocorticographic Activity: A Review

It's the little things: On the complexity of planar electrode heating in MRI

A portable platform to collect and review behavioral data simultaneously with neurophysiological signals

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