Silicon-Integrated High-Density Electrocortical Interfaces

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Silicon-Integrated High-Density Electrocortical Interfaces UC Office of the President Recent Work Title Silicon Integrated High-Density Electrocortical Interfaces Permalink https://escholarship.org/uc/item/35135048 Authors Ha, S Akinin, A Park, J et al. Publication Date 2017 Peer reviewed eScholarship.org Powered by the California Digital Library University of California INVITED PAPER Silicon-Integrated High-Density Electrocortical Interfaces This paper examines the state of the art of chronically implantable electrocorticography (ECoG) interface systems and introduces a novel modular ECoG system using an encapsulated neural interfacing acquisition chip (ENIAC) that allows for improved, broad coverage in an area of high spatiotemporal resolution. By Sohmyung Ha, Member IEEE, Abraham Akinin, Student Member IEEE, Jiwoong Park, Student Member IEEE,ChulKim,Student Member IEEE, Hui Wang, Student Member IEEE, Christoph Maier, Member IEEE, Patrick P. Mercier, Member IEEE, and Gert Cauwenberghs, Fellow IEEE ABSTRACT | Recent demand and initiatives in brain research introduce a modular ECoG system concept based on a fully have driven significant interest toward developing chronically encapsulated neural interfacing acquisition chip (ENIAC). implantable neural interface systems with high spatiotempo- Multiple ENIACs can be placed across the cortical surface, ral resolution and spatial coverage extending to the whole enabling dense coverage over wide area with high spatio- brain. Electroencephalography-based systems are noninva- temporal resolution. The circuit and system level details of sive and cost efficient in monitoring neural activity across the ENIAC are presented, along with measurement results. brain, but suffer from fundamental limitations in spatiotem- poral resolution. On the other hand, neural spike and local KEYWORDS | BRAIN Initiative; electrocorticography; neural field potential (LFP) monitoring with penetrating electrodes recording; neural stimulation; neural technology offer higher resolution, but are highly invasive and inade- quate for long-term use in humans due to unreliability in long-term data recording and risk for infection and inflamma- I. INTRODUCTION tion. Alternatively, electrocorticography (ECoG) promises a The Brain Research through Advancing Innovative Neuro- minimally invasive, chronically implantable neural interface technologies (BRAIN) Initiative envisions expanding our with resolution and spatial coverage capabilities that, with understanding of the human brain. It targets development future technology scaling, may meet the needs of recently and application of innovative neural technologies to ad- proposed brain initiatives. In this paper, we discuss the chal- vance the resolution of neural recording, and stimulation lenges and state-of-the-art technologies that are enabling toward dynamic mapping of the brain circuits and process- next-generation fully implantable high-density ECoG inter- ing [1], [2]. These advanced neurotechnologies will enable faces, including details on electrodes, data acquisition front- new studies and experiments to augment our current under- ends, stimulation drivers, and circuits and antennas for standing of the brain, thereby enabling tremendous advances wireless communications and power delivery. Along with in diagnosis and treatment opportunities over a broad range state-of-the-art implantable ECoG interface systems, we of neurological diseases and disorders. Studying the dynamics and connectivity of the brain Manuscript received January 1, 2016; revised May 24, 2016; accepted May 30, 2016. requires a wide range of technologies to address multiple Date of publication August 5, 2016; date of current version December 20, 2016. This work was supported by the University of California Multicampus Research Programs temporal and spatial scales. Fig. 1 shows spatial and tem- and Initiatives (MRPI) and the University of California San Diego Center for Brain poral resolutions and spatial coverage of the various brain Activity Mapping. The authors are with the University of California San Diego, La Jolla, CA 92093-0412 monitoring methods that are currently available [3]–[6]. USA (e-mail: [email protected]; [email protected]; [email protected]). Noninvasive methods such as magnetic resonance im- Digital Object Identifier: 10.1109/JPROC.2016.2587690 aging (MRI), functional magnetic resonance imaging 0018-9219 Ó 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. Vol. 105, No. 1, January 2017 | Proceedings of the IEEE 11 Ha et al.: Silicon-Integrated High-Density Electrocortical Interfaces Fig. 1. Spatial and temporal resolution as well as spatial coverage of various neural activity monitoring modalities [3]–[5]. For each modality shown, the lower boundary of the box specifies the spatial resolution indicated on the left axis, whereas the upper boundary specifies the spatial coverage on the right axis. The width of each box indicates the typical achievable range of temporal resolution. Portable modalities are shown in color. Bridging an important gap between noninvasive and highly invasive techniques, ECoG has emerged as a useful tool for diagnostics and brain-mapping research. (fMRI), magnetoencephalography (MEG), and positron emission tomography (PET) provide whole-brain spatial coverage. Although fMRI achieves high spatial resolution down to 1 mm, its temporal resolution is severely limited Fig. 2. (a) Conventional electrophysiology methods including EEG, (1–10 s) as the system measures neural activity indirectly ECoG, and neural spike and LFP recording with penetrating by quantifying blood oxygenation to support regions with microelectrodes. Both EEG and ECoG can capture correlated collective volume conductions in gyri such as regions of a-b, d-e, more elevated metabolism. In contrast, MEG provides and j-k. However, they cannot record opposing volume higher temporal resolution (0.01–0.1 s) at the expense of conductions in sulci such as regions of b-c-d and e-f-g and poor spatial resolution (1 cm). Whereas fMRI and MEG random dipole layers such as regions of g-h and l-m-n-o [18]. provide complementary performance in spatiotemporal (b) Emerging fully implantable ECoG technologies enabled by resolution, PET offers molecular selectivity in functional flexible substrate ECoG microarrays and modular ECoG interface microsystems. Such technologies are capable of capturing local imaging at the expense of lower spatial (1 cm) and tempo- volume conducting activities missed by conventional methods, ral (10–100 s) resolution, and the need for injecting posi- and are extendable to cover large surface area across cortex. tron emitting radionuclides in the bloodstream. However, neither fMRI and MEG, nor PET are suitable for wearable or portable applications, as they all require very large, ex- pensive, and high power equipment to support the sensors throughout the brain, as illustrated in Fig. 2(a). EEG re- as well as extensively shielded environments. cording is safe (noninvasive) and relatively inexpensive, In constrast, electrophysiology methods, which di- but its spatiotemporal resolution is limited to about 1 cm rectly measure electrical signals that arise from the activity and 100 Hz, due largely to the dispersive electrical prop- of neurons, offer superior temporal resolution. They have erties of several layers of high-resistive tissue, particu- been extensively used to monitor brain activity due to their larly skull, between the brain and the scalp. In contrast, ability to capture wide ranges of brain activities from the recording with intracranial brain-penetrating microelec- subcellular level to the whole brain oscillation level as trodes [labeled as EAP + LFP in Fig. 2(a)] can achieve shown in Fig. 2(a). Due to recent advances in electrode much higher resolution due to the much closer proximity andintegratedcircuittechnologies, electrophysiological to individual neurons. Thus, it is also widely used monitoring methods can be designed to be portable, with for brain research and brain–computer interface (BCI) fully wearable or implantable configurations for brain– applications. Using microelectrodes, extracellular action computer interfaces having been demonstrated. potential (EAPs) and local field potentials (LFPs) can be One of the most popular electrophysiological moni- recorded from multiple neurons across multiple cortical toring methods is electroencephalography (EEG), which areas and layers. Even though penetrating microelec- records electrical activity on the scalp resulting from trodes can provide rich information from neurons, they volume conduction of coherent collective neural activity can suffer from tissue damage during insertion [7]–[9], 12 Proceedings of the IEEE |Vol.105,No.1,January2017 Ha et al.: Silicon-Integrated High-Density Electrocortical Interfaces and have substantial limitations in long-term chronic coverage along the natural curvature of the cortex with- applications due to their susceptibility to signal degrada- out penetration. These micro ECoG, or ECoG, devices tion from electrode displacement and immune response enable even higher spatial resolution than conven- against the electrodes [10]. Because of the more extreme tional ECoG systems, and are beginning to enable next- invasiveness and longevity issues, chronic implantation generation brain mapping, therapeutic stimulation, and of penetrating microelectrodes in humans is not yet BCI systems. viable. This paper discusses
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