Invasive Electrodes Research Articles

Spatiotemporal approximation of cardiac activation and recovery isochrones

BackgroundThe sequence of myocardial activation and recovery can be studied in detail by invasive catheter recordings of cardiac electrograms (EGMs), or noninvasive inverse reconstructions thereof with electrocardiographic imaging (ECGI). Local activation and recovery times are obtained from a unipolar EGM by the moment of maximum downslope of the QRS complex or maximum upslope of the T wave, respectively. However, both invasive and noninvasive recordings of intracardiac EGMs may suffer from noise and fractionation, making reliable detection of these deflections nontrivial. MethodsHere, we introduce a novel method that benefits from the spatial coupling of these processes, and incorporate not only the temporal EGM deflection, but also the spatial gradients. We validated this approach in computer simulations, in animal data with ECGI and invasive electrode recordings, and illustrated its use in a clinical case. ResultsIn the simulated data, the spatiotemporal approach was able to incorporate spatial information to better select the correct deflection in artificially fractionated EGMs and outperformed the traditional temporal-only method. In experimental data, the accuracy of time estimation from ECGI compared to invasive recordings significantly increased from R = 0.73 (activation) and R = 0.58 (recovery) with the temporal-only method to R = 0.79 (activation) and R = 0.72 (recovery) with the novel approach. Localization of the pacing origin of paced beats improved significantly from 36 mm mean error with the temporal-only approach to 23 mm with the spatiotemporal approach. ConclusionThe spatiotemporal method to compute activation and recovery times from EGMs outperformed the traditional temporal-only approach in which spatial information was not taken into account.

InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling.

InverseMuscleNET, a machine learning model, is proposed as an alternative to static optimization for resolving the redundancy issue in inverse muscle models. A recurrent neural network (RNN) was optimally configured, trained, and tested to estimate the pattern of muscle activation signals. Five biomechanical variables (joint angle, joint velocity, joint acceleration, joint torque, and activation torque) were used as inputs to the RNN. A set of surface electromyography (EMG) signals, experimentally measured around the shoulder joint for flexion/extension, were used to train and validate the RNN model. The obtained machine learning model yields a normalized regression in the range of 88–91% between experimental data and estimated muscle activation. A sequential backward selection algorithm was used as a sensitivity analysis to discover the less dominant inputs. The order of most essential signals to least dominant ones was as follows: joint angle, activation torque, joint torque, joint velocity, and joint acceleration. The RNN model required 0.06 s of the previous biomechanical input signals and 0.01 s of the predicted feedback EMG signals, demonstrating the dynamic temporal relationships of the muscle activation profiles. The proposed approach permits a fast and direct estimation ability instead of iterative solutions for the inverse muscle model. It raises the possibility of integrating such a model in a real-time device for functional rehabilitation and sports evaluation devices with real-time estimation and tracking. This method provides clinicians with a means of estimating EMG activity without an invasive electrode setup.

Mapping the visual world to the human brain.

The visual maps measured non-invasively in the brain of human and non-human primates reliably reflect the underlying neuronal responses recorded with invasive electrodes.

Long-term in-vivo recording performance of flexible penetrating microelectrode arrays

Objective. Neural interfaces are an essential tool to enable the human body to directly communicate with machines such as computers or prosthetic robotic arms. Since invasive electrodes can be located closer to target neurons, they have advantages such as precision in stimulation and high signal-to-noise ratio (SNR) in recording, while they often exhibit unstable performance in long-term in-vivo implantation because of the tissue damage caused by the electrodes insertion. In the present study, we investigated the electrical functionality of flexible penetrating microelectrode arrays (FPMAs) up to 3 months in in-vivo conditions. Approach. The in-vivo experiment was performed by implanting FPMAs in five rats. The in-vivo impedance as well as the action potential (AP) amplitude and SNR were analyzed over weeks. Additionally, APs were tracked over time to investigate the possibility of single neuron recording. Main results. It was observed that the FPMAs exhibited dramatic increases in impedance for the first 4 weeks after implantation, accompanied by decreases in AP amplitude. However, the increase/decrease in AP amplitude was always accompanied by the increase/decrease in background noise, resulting in quite consistently maintained SNRs. After 4 weeks of implantation, we observed two distinctive issues regarding long-term implantation, each caused by chronic tissue responses or by the delamination of insulation layer. The results demonstrate that the FPMAs successfully recorded neuronal signals up to 12 weeks, with very stably maintained SNRs, reduced by only 16.1% on average compared to the first recordings, although biological tissue reactions or physical degradation of the FPMA were present. Significance. The fabricated FPMAs successfully recorded intracortical signals for 3 months. The SNR was maintained up to 3 months and the chronic function of FPMA was comparable with other silicon based implantable electrodes.

Impedance scaling for gold and platinum microelectrodes

Objective. Electrical measurement of the activity of individual neurons is a primary goal for many invasive neural electrodes. Making these ‘single unit’ measurements requires that we fabricate electrodes small enough so that only a few neurons contribute to the signal, but not so small that the impedance of the electrode creates overwhelming noise or signal attenuation. Thus, neuroelectrode design often must strike a balance between electrode size and electrode impedance, where the impedance is often assumed to scale linearly with electrode area. Approach and main results. Here we study how impedance scales with neural electrode area and find that the 1 kHz impedance of Pt electrodes (but not Au electrodes) transitions from scaling with area (r −2) to scaling with perimeter (r −1) when the electrode radius falls below 10 µm. This effect can be explained by the transition from planar to spherical diffusion behavior previously reported for electrochemical microelectrodes. Significance. These results provide important intuition for designing small, single unit recording electrodes. Specifically, for materials where the impedance is dominated by a pseudo-capacitance that is associated with a diffusion limited process, the total impedance will scale with perimeter rather than area when the electrode size becomes comparable with the diffusion layer thickness. For Pt electrodes this transition occurs around 10 µm radius electrodes. At even lower frequencies (1 Hz) impedance approaches a constant. This transition to r −1 scaling implies that electrodes with a pseudo-capacitance can be made smaller than one might expect before thermal noise or voltage division limits the ability to acquire high-quality single-unit recordings.

Neuro-SWARM³: System-on-a-Nanoparticle for Wireless Recording of Brain Activity

A fundamental limitation of the implantable brain-machine interfaces (BMI) is the wiring requirements for power transfer and signal transmission. Existing microelectrode technologies can only record from localized sections of the brain and require implantation of invasive electrodes through cranial surgeries. Here, we introduce a system-on-a-nanoparticle probe, a Neurophotonic Solution-dispersible Wireless Activity Reporter for Massively Multiplexed Measurements (Neuro-SWARM <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ), enabling remote detection of in vivo bioelectric signals. Neuro-SWARM <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> offers five fundamental advancements simultaneously: (1) it enables use of infrared light within the biologically transparent near infrared (NIR-II, 1000-1700 nm) window for direct read-out through the skull, (2) it circumvents invasive surgical operations since no wiring or power supply is needed for the wireless (electro-plasmonic) excitation and remote detection, (3) due to its diminutive dimensions (<; 200 nm) that is comparable to viral particles, it can be delivered different regions of the brain without surgical operations, (4) as electro-plasmonic signal conversion removes front-end signal processing requirements, it opens the door to large scale in vivo measurements that are not restricted by electrode dimensions, physical wiring, and electronic bandwidth limitations, (5) by being much smaller than the critical dimensions that trigger glial cell response ( ~ 12 μm), it offers a long term operation capability. As we show below, NeuroSWARM <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> provides high signal to shot noise ratio (SSNR ~ 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) wireless recording capability from single neurons due to its enhanced scattering cross-section ( ~ 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> nm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) and field-sensitivity (up to ~40%).

Clinical semiology of temporal lobe seizures in preschool children: contribution of invasive recording to anatomical classification.

Focal seizure semiology is often inadequately studied, specifically in preschool children. Among drug-resistant epilepsies amenable to surgery, temporal lobe seizure semiology has been widely described in this age group. Nevertheless, a systematic anatomo-electroclinical study has never been performed. We retrospectively reviewed the charts of patients younger than six years old at the time of video-EEG recording who were operated on for temporal lobe epilepsy in our centre between 2010 and 2016. In order to describe the electroclinical semiology and establish anatomo-clinical correlations, we reviewed all the recorded seizures on scalp and invasive video-EEG and analysed pre- and postsurgical clinical data, MRI scans, and surgical and pathological data. We classified patients into the following four anatomical groups: mesio-temporal, temporal lateral, polar, and mesio-lateral, and for each group we selected video-EEG samples for educational purposes. Twenty-eight patients fulfilled the selection criteria. Twenty-three patients (82%) were explored with invasive electrodes that consisted of foramen ovale electrodes in 11 (39%) and stereoelectroencephalography in 12 (43%). The majority of the 53% of patients with mesio-temporal epilepsies had specific ictal semiology, as described in adults. The others had subtle seizures or seizures limited to apnoea. The other groups also had some features comparable to adults, although no child reported the classic auras of lateral epilepsies. In total, 11% had infantile spasms (IS); post-ictal examination provided lateralization signs in 28%. With a mean post-surgical follow-up duration of 5.5 years, 89% of the patients were classified as Engel Class I. Preschool children were shown to have non-specific seizures, notably subtle events or IS. However, careful video-EEG analysis can provide arguments for localizing the epileptogenic zone within the temporal lobe in most cases. Seizures with apnoea are characteristic of mesial temporal onset in patients with long-term epilepsy-associated tumours.

A subgaleal electrode array for neurostimulation allows the recording of relevant information in closed loop applications

BackgroundNeurostimulation is an emerging treatment option for patients resistant to pharmacotherapy and ineligible for neurosurgical intervention. Compared to intracranial stimulation placement of electrodes in the subgaleal space offers a minimally invasive option for long-term seizure monitoring for responsive systems. New methodIt was investigated, whether electrode contacts of a device being developed as a stimulation system placed in the subgaleal space are suited for recording of EEG activity for seizure detection. EEG was recorded intraoperatively in four participants participating in a clinical trial during the insertion of the device. Quantitative parameters like electrode impedance, signal amplitude ranges and amplitude spectra were determined. Epileptiform patterns in the recordings were compared to patterns occurring in scalp EEG prior to device implantation. ResultsElectrode impedances, amplitude ranges for artefact free intervals and intervals containing artefacts were determined. Spectral analysis showed typical properties of EEG recordings with high amplitude content at low frequencies and a peak in the alpha band. No major noise except at power line frequency disturbed the recordings. In two patients, typical epileptiform patterns could be identified having similar characteristics as their respective scalp EEG recordings prior to device implantation. Comparison with existing methodsNew and less invasive electrode system compared to existing solutions for responsive neurostimulation. ConclusionsThe subgaleal electrode system allows for high quality EEG recordings even in an hostile unfavorable environment like an operation theatre. For the design of a signal acquisition unit of a responsive system using subgaleal electrodes, specifications could be obtained.

The Need to Work Arm in Arm: Calling for Collaboration in Delivering Neuroprosthetic Limb Replacements.

Over the last few decades there has been a push to enhance the use of advanced prosthetics within the fields of biomedical engineering, neuroscience, and surgery. Through the development of peripheral neural interfaces and invasive electrodes, an individual's own nervous system can be used to control a prosthesis. With novel improvements in neural recording and signal decoding, this intimate communication has paved the way for bidirectional and intuitive control of prostheses. While various collaborations between engineers and surgeons have led to considerable success with motor control and pain management, it has been significantly more challenging to restore sensation. Many of the existing peripheral neural interfaces have demonstrated success in one of these modalities; however, none are currently able to fully restore limb function. Though this is in part due to the complexity of the human somatosensory system and stability of bioelectronics, the fragmentary and as-yet uncoordinated nature of the neuroprosthetic industry further complicates this advancement. In this review, we provide a comprehensive overview of the current field of neuroprosthetics and explore potential strategies to address its unique challenges. These include exploration of electrodes, surgical techniques, control methods, and prosthetic technology. Additionally, we propose a new approach to optimizing prosthetic limb function and facilitating clinical application by capitalizing on available resources. It is incumbent upon academia and industry to encourage collaboration and utilization of different peripheral neural interfaces in combination with each other to create versatile limbs that not only improve function but quality of life. Despite the rapidly evolving technology, if the field continues to work in divided “silos,” we will delay achieving the critical, valuable outcome: creating a prosthetic limb that is right for the patient and positively affects their life.

WS1.9. Advances in EEG Analysis – Wide-Band EEG, Dense-Array EEG and Quantitative EEG

1) Wide-band EEG As the faster frequency extreme of wide-band EEG, high frequency oscillation (HFO) was originally described by means of 1) micro-electrode recording in animal model, and ictal HFO occurred before clinical onset. Recently, 2 more types of HFO were well described; 2) invasive electrodes recording in epilepsy surgery (macro-invasive electrodes such as depth-, subdural ones), and 3) scalp electrodes or MEG in epilepsy patients. The multiple mechanisms of HFO generation are considered such as synchronized post-synaptic potentials with sparse pyramidal cell firing, or principal cell action potentials. As the lower frequency of extreme of baseline shifts in the chronic epilepsy focus on epilepsy patients, ictal DC shifts occurred earlier than or as early as ictal HFO significantly (Imamura et al., 2011; Kanazawa et al., 2015). It was newly endorsed by the pathological abnormality, i.e., decreased Kir4.1, selectively seen in the cortices generating ictal DC shifts (Kobayashi et al., 2017). It could suggest more active role of glia before seizure generation, and thus called as active DC shifts. These both findings could represent activity of both epileptic neurons and astrocytes, respectively, mainly as the local field potentials. 2) Quantitative EEG Once digital EEG era has started since 1989, first generation EEG (1989-1996/2000) could provide us with data acquisition of ordinary sampling rate (i.e., 500 Hz) and band pass filter (i.e., 0.5 Hz - 200 Hz). Data display has been much flexible by means of reformat of montage, filter change, sensitivity change, voltage mapping, power spectrum analysis, and 3D source analysis, and so on. It is user friendly, and regarded as the established tool or method. Second generation EEG (1996/2000-present) has been much advanced and complicated tool such as data acquisition such as wide-band EEG, i.e., 0.016 Hz - 600 Hz. It contains DC shifts, infraslow, HFO. Increased sampling rate, i.e., 2000 Hz could widen the extremely faster activitty. Data display such as wide-band display, i.e., 100 ms/page to 5 min/page, time frequency analysis, DSA (Density Modulated Spectral Array), and Ganger causality further led us to the interactive sophisticated circumstances in the clinical and scientific field. 3) Dense-array EEG The more electrodes are placed on the scalp, the better spatial resolution is expected. Once it also could cover the so-called “south hemispheres” of the head, it could delineate the any activity arising from the basal temporal and mesial temporal areas. However, since scalp EEG is attenuated in amplitude and is blurred with wider distribution by means of cortical bone and different soft tissues, the degree of localization map may not be proportionally precise in spite of involvement of many electrodes. In this regard, whole MEG data may overcome of the 2 important factors.

Investigation of the temporal and spatial dynamics of muscular action potentials through optically pumped magnetometers

AimThis study aims to simultaneously record the magnetic and electric components of the propagating muscular action potential. MethodA single-subject study of the monosynaptic stretch reflex of the musculus rectus femoris was performed; the magnetic field generated by the muscular activity was recorded in all three spatial directions by five optically pumped magnetometers. In addition, the electric field was recorded by four invasive fine-wire needle electrodes. The magnetic and electric fields were compared by modelling the muscular anatomy of the rectus femoris muscle and by simulating the corresponding magnetic field vectors. ResultsThe magnetomyography (MMG) signal can reliably be recorded following the stimulation of the monosynaptic stretch reflex. The MMG signal shows several phases of activity inside the muscle, the first of which is the propagating muscular action potential. As predicted by the finite wire model, the magnetic field vectors of the propagating muscular action potential are generated by the current flowing along the muscle fiber. Based on the magnetic field vectors, it was possible to reconstruct the pinnation angle of the muscle fibers. The later magnetic field components are linked to the activation of the contractile apparatus.InterpretationMMG allows to analyze the muscle physiology from the propagating muscular action potential to the initiation of the contractile apparatus. At the same time, this methods reveals information about muscle fiber direction and extend. With the development of high-resolution magnetic cameras, that are based on OPM technology, it will be possible to image the function and structure of the biomagnetic field of any skeletal muscle with high precision. This method could be used both, in clinical medicine and also in sports science.

Stable Surface Technology for HER Electrodes

With the rapid increase in energy consumption worldwide, the development of renewable and alternative energy sources can sustain long-term development in the energy field. Hydrogen (H2), which is one of the clean chemical fuels, has the highest weight energy density and its combustion byproduct is only water. Among the various methods of producing hydrogen source, water electrolysis is a process that can effectively produce H2. However, it is difficult for commercialization of water electrolysis for H2 production due to the high cost and low abundance of noble metal-based cathodic electrode used for highly efficiency. Several studies have been conducted to reduce noble metal loading and/or completely replace them with other materials to overcome these obstacles. Among them, stainless steel contains many components of transition metals (Ni, Cr, Co) but have sluggish reaction kinetics and small active surface area. In this study, the problem of stainless steel was to be solved by utilizing the electrocatalytic properties of silver nanoparticles on the electrode surface, and electrodes were easily fabricated through the electrodeposition process. In addition, the surface shape, elemental properties, and HER activity of the electrode was analyzed by comparing it with the commercialized silver nanoparticle-coated invasive electrodes from Inanos (Inano-Ag-IE) through the plasma coating process. As a result, silver nanoparticle-coated conventional electrode (Ag-CE) fabricated through electrodeposition confirmed high HER activity and stability. However, the Inano-Ag-IE showed low HER activity as silver nanoparticles were not found. We encourage further research on the production process of such products for sustainable energy applications.

Biomedical and Tissue Engineering Strategies to Control Foreign Body Reaction to Invasive Neural Electrodes.

Neural-interfaced prostheses aim to restore sensorimotor limb functions in amputees. They rely on bidirectional neural interfaces, which represent the communication bridge between nervous system and neuroprosthetic device by controlling its movements and evoking sensory feedback. Compared to extraneural electrodes (i.e., epineural and perineural implants), intraneural electrodes, implanted within peripheral nerves, have higher selectivity and specificity of neural signal recording and nerve stimulation. However, being implanted in the nerve, their main limitation is represented by the significant inflammatory response that the body mounts around the probe, known as Foreign Body Reaction (FBR), which may hinder their rapid clinical translation. Furthermore, the mechanical mismatch between the consistency of the device and the surrounding neural tissue may contribute to exacerbate the inflammatory state. The FBR is a non-specific reaction of the host immune system to a foreign material. It is characterized by an early inflammatory phase eventually leading to the formation of a fibrotic capsule around intraneural interfaces, which increases the electrical impedance over time and reduces the chronic interface biocompatibility and functionality. Thus, the future in the reduction and control of the FBR relies on innovative biomedical strategies for the fabrication of next-generation neural interfaces, such as the development of more suitable designs of the device with smaller size, appropriate stiffness and novel conductive and biomimetic coatings for improving their long-term stability and performance. Here, we present and critically discuss the latest biomedical approaches from material chemistry and tissue engineering for controlling and mitigating the FBR in chronic neural implants.

Recent, Bioelectricity-Related Articles Selected by Ann M. Rajnicek, Media Editor of Bioelectricity.

Recent, Bioelectricity-Related Articles Selected by Ann M. Rajnicek, Media Editor of Bioelectricity.

A framework for modeling bioimpedance measurements of nonhomogeneous tissues: a theoretical and simulation study

Objective. Bioimpedance technology is experiencing an increased use to assess health in a wide range of new consumer, research and clinical applications. However, the interaction between tissues producing bioimpedance data is often unclear. Methods. This work provides a novel theoretical framework to model bioimpedance measurements of nonhomogeneous tissues. We consider five case studies to validate the usefulness of our approach against finite element model simulations. Results. Theoretical and FEM-simulated apparent resistance and reactance data were in good agreement, with a maximum relative errors <4% and <8%, respectively. Conclusion. The biophysics-driven framework developed provides compact analytical expressions to model nonhomogeneous bioimpedance measurements including multiple tissues with arbitrary shape and electrical properties. This work provides a new perspective to interpret nonhomogeneous bioimpedance measurements using series, parallel, and series-parallel circuit-like topology equivalents. Significance. Our framework is a new tool to better understand and describe complex nonhomogeneous biological measurements as, for example, cardiac, brain and respiratory applications using (non)invasive electrodes.

Use of an Extra-Tympanic Membrane Electrode to Record Cochlear Microphonics with Click, Tone Burst and Chirp Stimuli

This study determined electrocochleography (ECochG) parameter settings to obtain cochlear microphonics (CM) with less invasive flexible extra-tympanic membrane electrodes. In 24 adult normal-hearing subjects, CMs were elicited by presenting click stimuli at 100 dBnHL, tone bursts (2 kHz) and broadband (BB) CE-chirps® LS (Interacoustics, Middelfart, Denmark), both at 80 dBnHL. Different high-pass filters (HPFs) (3.3 Hz and 100 Hz, respectively) were used to investigate response quality of the CM. CMs were successfully obtained in 92–100% with click-, 75–83% with 2 kHz tone burst- and 58–63% with CE-chirp®-LS stimuli. Click stimuli elicited significantly larger CM amplitudes compared to 2 kHz tone bursts and BB CE-chirp® LS (Interacoustics, Middelfart, Denmark). No significant differences were found between the two different high-pass filter (HPF) settings. The present study shows that it is possible to obtain clear CMs with the flexible extra-tympanic membrane electrodes using click stimuli. In contrast to 2 kHz tone bursts and CE-chirp® (Interacoustics, Middelfart, Denmark) LS, clicks show a significantly higher success rate and are the preferred stimuli to confirm the presence or absence of CMs.

Multi Physical Field Simulation of Irreversible Electroporation

Irreversible electroporation (IRE) uses non thermoelectric pulse to ablate tumours, which is an effective cancer treatment method. The pulse is transmitted through a minimally invasive needle electrode inserted into the target tissue and causes cell death by creating nanoscale membrane defects. Irreversible electroporation has been shown to be safe and effective in the treatment of tumours of the brain, liver, kidney, pancreas and prostate located near key blood vessels and nerves. Determining the parameters accurately of the applied pulsed electric field to kill all tumour cells and minimize damage to healthy tissue is the key to the success of IRE for the treatment of malignant tumours. In this paper, according to the researches of irreversible electroporation in the treatment of tumour in recent years, the distribution of electric field and temperature in tissue during IRE is calculated by numerical method, which provides a methodological basis for the treatment of tumour ablation with IRE.

Restoration of breathing after opioid overdose and spinal cord injury using temporal interference stimulation

Respiratory insufficiency is a leading cause of death due to drug overdose or neuromuscular disease. We hypothesized that a stimulation paradigm using temporal interference (TI) could restore breathing in such conditions. Following opioid overdose in rats, two high frequency (5000 Hz and 5001 Hz), low amplitude waveforms delivered via intramuscular wires in the neck immediately activated the diaphragm and restored ventilation in phase with waveform offset (1 Hz or 60 breaths/min). Following cervical spinal cord injury (SCI), TI stimulation via dorsally placed epidural electrodes uni- or bilaterally activated the diaphragm depending on current and electrode position. In silico modeling indicated that an interferential signal in the ventral spinal cord predicted the evoked response (left versus right diaphragm) and current-ratio-based steering. We conclude that TI stimulation can activate spinal motor neurons after SCI and prevent fatal apnea during drug overdose by restoring ventilation with minimally invasive electrodes.

3D Bioelectronic Model of the Human Intestine

AbstractOrgan on chip (OoC) technologies have the potential to improve the translation of promising therapies currently failing in clinical trials at great expense and time due to dissimilarities between animal and human biology. Successful OoC models integrate human cells within 3D tissues with surrounding biomolecular components, and have benefited from the use of inert 3D gels and scaffolds used as templates, prompting tissue formation. However, monitoring technologies used to assess tissue integrity and drug effects are ill adapted to 3D biology. Here, a tubular electroactive scaffold serves as a template for a 3D human intestine, and enables dynamic electrical monitoring of tissue formation over 1 month. Cell‐ and extracellular matrix component‐invoked changes in the properties of the scaffold alleviate the need for posthoc placement of invasive metallic electrodes or downstream analyses. Formation of in vivo‐like stratified and polarized intestinal tissue compete with lumen contrasts with other quasi‐3D models of the intestine using rigid porous membrane to separate cell types. These results provide unprecedented real‐time information on tissue formation with highly sensitive multimodal operation, thanks to dual electrode and transistor operation. This device and the methodology for tissue growth within it represents a paradigm shift for disease modeling and drug discovery.

Improving Detection of Hippocampal Epileptiform Activity Using Magnetoencephalography.

Magnetoencephalography (MEG) defines the spike-generating zone and provides targets for invasive monitoring with stereotactic electroencephalography. This retrospective, blinded, cross-sectional study determined whether MEG virtual sensors could identify hippocampal epileptiform activity. Using MEG beamformer analysis, virtual sensors were manually placed in bilateral hippocampi and corresponding virtual sensor waveforms were analyzed for the presence of epileptiform activity. These findings were compared with hippocampal stereotactic electroencephalography in the same patients. Concordance was determined using sensitivity and specificity. Thirty patients (mean age 12.5 ± 5.9 years) and 35 hippocampi were included. Patients were also placed into subgroups based on conventional MEG analysis: temporal (n = 19), extratemporal (n = 10), and normal (n = 1). Overall, sensitivity and specificity were 57.9% and 50.0%, respectively (n = 35). Patients with temporal sources based on conventional MEG analysis had sensitivity and specificity of 80.0% and 36.4%, respectively (n = 21). Those with extratemporal sources based on conventional MEG had sensitivity and specificity of 42.9% and 80.0%, respectively (n = 12). When grouped by conventional MEG analysis, virtual sensors can be useful to confirm mesial temporal dipoles seen with conventional analysis. This work may help support the use of MEG for the detection of epileptiform activity in the hippocampus and influence the planning of invasive electrode placement.