Gregory F. Molnar

A chronic generalized bi-directional brain–machine interface

A bi-directional neural interface (NI) system was designed and prototyped by incorporating a novel neural recording and processing subsystem into a commercial neural stimulator architecture. The NI system prototype leverages the system infrastructure from an existing neurostimulator to ensure reliable operation in a chronic implantation environment. In addition to providing predicate therapy capabilities, the device adds key elements to facilitate chronic research, such as four channels of electrocortigram/local field potential amplification and spectral analysis, a three-axis accelerometer, algorithm processing, event-based data logging, and wireless telemetry for data uploads and algorithm/configuration updates. The custom-integrated micropower sensor and interface circuits facilitate extended operation in a power-limited device. The prototype underwent significant verification testing to ensure reliability, and meets the requirements for a class CF instrument per IEC-60601 protocols. The ability of the device system to process and aid in classifying brain states was preclinically validated using an in vivo non-human primate model for brain control of a computer cursor (i.e. brain-machine interface or BMI). The primate BMI model was chosen for its ability to quantitatively measure signal decoding performance from brain activity that is similar in both amplitude and spectral content to other biomarkers used to detect disease states (e.g. Parkinsons disease). A key goal of this research prototype is to help broaden the clinical scope and acceptance of NI techniques, particularly real-time brain state detection. These techniques have the potential to be generalized beyond motor prosthesis, and are being explored for unmet needs in other neurological conditions such as movement disorders, stroke and epilepsy.

Effects of peripheral sensory input on cortical inhibition in humans

Cortical inhibitory systems play an important role in motor output. The motor cortex can be inhibited by intracortical mechanisms and by peripheral sensory inputs. We examined whether cortical inhibition from peripheral sensory input is mediated through previously identified intracortical inhibitory systems and how these inhibitory systems interact. Two types of intracortical inhibition were assessed by paired‐pulse transcranial magnetic stimulation (TMS). Short‐interval intracortical inhibition (SICI) was determined with a subthreshold conditioning stimulus (CS) followed by a test stimulus 2 ms later and long‐interval intracortical inhibition (LICI) with suprathreshold conditioning and test stimuli 100 ms apart. Cortical inhibition from peripheral sensory input was induced by median nerve stimulation (MNS) of the right hand and followed by a suprathreshold TMS over the left motor cortex 200 ms later. The first set of experiments tested the effects of different test stimulus intensities on SICI, LICI and cortical inhibition induced by median nerve stimulation (MNSI). With higher test stimulus intensities, LICI and MNSI decreased whereas SICI showed a trend towards an increase. The extent of SICI, LICI and MNSI did not correlate. The second experiment assessed the interaction between MNSI and LICI. The results of applying MNSI and LICI simultaneously were compared with MNSI and LICI alone. MNSI was virtually abolished in the presence of LICI and LICI was also significantly decreased in the presence of MNSI. Thus, the effects of MNSI and LICI when applied together were much less than their expected additive effects when applied alone. The degree of interaction between MNSI and LICI was related to the combined strength of MNSI and LICI but not to the strength of LICI alone. The third experiment investigated the interaction between SICI and MNSI. MNSI and SICI were applied together and the results were compared with MNSI and SICI alone. SICI remained unchanged in the presence of MNSI. We conclude that MNSI is mediated by circuits distinct from those mediating LICI or SICI. The MNSI circuits seem to have an inhibitory interaction with the LICI circuits, whereas the SICI and MNSI circuits do not seem to interact.

An automated method to determine the transcranial magnetic stimulation-induced contralateral silent period.

BACKGROUND The transcranial magnetic stimulation (TMS)-induced contralateral silent period (CSP) refers to a period of interruption of voluntary muscle activity measured in tonically active muscles. The length of the CSP is generally interpreted to reflect cortical inhibition. The determination of the return of voluntary motor activity is typically accomplished via visual inspection of the electromyography (EMG) waveform and may be subject to inaccuracy on the part of the rater. OBJECTIVE To present and evaluate an automated method (AM) to determine the CSP. METHODS The CSP of 11 healthy controls was recorded using stimulus intensities 20 and 50% above the resting motor threshold (RMT). The mean CSP duration obtained by the two raters using visual inspection and our automated approach were compared. RESULTS The interclass correlation coefficient (ICC) between the two raters and the AM was 0.99 at 150% of RMT and was 0.97 at 120% of RMT. The level of pre-stimulus EMG amplitude and sampling rate did not affect agreement between the AM and more conventional visually guided methods. CONCLUSIONS Our study demonstrates that this AM is a simple, objective and reliable approach for CSP determination. SIGNIFICANCE The CSP is an important neurophysiological measure of cortical inhibition and its determination by our AM provides a more objective and automated approach compared to visually guided methods.

Changes in motor cortex excitability with stimulation of anterior thalamus in epilepsy.

Background: Deep brain stimulation (DBS) is an effective treatment for movement disorders and pain. Recently, bilateral DBS of the anterior nucleus of thalamus (AN) was performed for the treatment of intractable epilepsy. This surgery reduced seizure frequency in an initial group of patients. However, its physiologic effects on the cortex and mechanisms of action remain poorly understood. Different classes of antiepileptic drugs (AEDs) have distinct effects on the excitatory and inhibitory circuits in the motor cortex, which can be studied noninvasively by transcranial magnetic stimulation (TMS). Objective: To examine the effects of bilateral AN DBS on motor cortex excitability in epilepsy and compare these to the known effects of AEDs. Methods: Cortical excitability was assessed in five medicated epilepsy patients with bilateral stimulators implanted in the anterior thalamus and nine healthy controls. Single and paired TMS were used to examine cortical inhibitory and facilitatory circuits. Electromyography was recorded from the dominant hand, and TMS was applied over the contralateral motor cortex. Patients were studied during DBS turned off (OFF condition), DBS with cycling stimulation mode (1 minute on, 5 minutes off; CYCLE), and DBS with continuous stimulation (CONTINUOUS) in random order on 3 consecutive days. Results: Motor thresholds were increased in the patients regardless of DBS condition. Active short-interval intracortical inhibition (SICI) was significantly reduced in the OFF and CYCLE conditions but returned toward normal levels in the CONTINUOUS condition. Rest SICI, long interval intracortical inhibition, and silent period duration were unchanged. Conclusions: Increased short-interval intracortical inhibition with continuous deep brain stimulation (DBS) suggests that thalamic DBS might drive cortical inhibitory circuits, similar to antiepileptic drugs that enhance γ-aminobutyric acid inhibition.

Thalamic deep brain stimulation activates the cerebellothalamocortical pathway

To investigate the mechanism of action of deep brain stimulation (DBS), the authors studied the effects of thalamic DBS on the cerebellothalamocortical (CTC) pathway. With DBS turned off, excitability of the CTC pathway was reduced. Turning DBS on resulted in facilitation of the CTC pathway. Therefore, thalamic DBS appears to activate rather than inhibit the target area.

Changes in cortical excitability with thalamic deep brain stimulation

Background: Deep brain stimulation (DBS) is an effective treatment for several movement disorders. However, its mechanism of action is largely unknown. Both lesioning and DBS of the ventralis intermedius (VIM) nucleus of thalamus improve essential tremor. Although DBS was initially thought to inhibit the target neurons, recent studies suggest that DBS activates neurons. Objective: To test the hypothesis that thalamic DBS activates the target area in patients with essential tremor. Methods: Cortical excitability was assessed in seven unmedicated patients with essential tremor using unilateral stimulators implanted in the VIM of the dominant hemisphere and in 11 healthy controls using transcranial magnetic stimulation (TMS). Patients were studied during optimal DBS (ON condition), half the optimal frequency (HALF), and with DBS off (OFF) in random order. Tremor was assessed after a change in DBS setting. Electromyography was recorded from the dominant hand, and TMS was applied over the contralateral motor cortex using single and paired pulses to elicit motor evoked potentials (MEPs). MEP recruitment was determined using stimulus intensities from 100% to 150% of motor threshold. Results: Tremor scores were significantly improved with DBS ON. Analysis of variance showed a significant interaction between condition (ON, HALF, OFF, Normal) and stimulus intensity on MEP amplitude. During DBS ON MEP amplitudes were significantly higher compared with controls at high but not at low TMS intensities. Conclusion: Because the ventralis intermedius (VIM) projects directly to the motor cortex, the high motor evoked potential amplitude with deep brain stimulation ON suggests that VIM DBS activates rather than inhibits the target area.

Spinal Cord Stimulation (SCS) and Functional Magnetic Resonance Imaging (fMRI): Modulation of Cortical Connectivity With Therapeutic SCS

The neurophysiological basis of pain relief due to spinal cord stimulation (SCS) and the related cortical processing of sensory information are not completely understood. The aim of this study was to use resting state functional magnetic resonance imaging (rs‐fMRI) to detect changes in cortical networks and cortical processing related to the stimulator‐induced pain relief.

Information, energy, and entropy: Design principles for adaptive, therapeutic modulation of neural circuits

This paper discusses the challenges and opportunities designing technology for deep brain stimulation (DBS). DBS is currently approved for the treatment of movement disorders such as Parkinson Disease, essential tremor and dystonia, and a number of studies are underway to determine its clinical efficacy for the treatment of epilepsy, treatment resistant depression, and obsessive compulsive disorder (OCD). Designing a DBS system is a complex system engineering problem, drawing on such diverse fields as applied physics, circuit design, algorithms and biology. But fundamental to device design is the neurophysiology of the dasiabrain circuitspsila affected by the disease, and how they can be modulated for therapeutic affect. Recent activities are drawing on information theory to help better understand the operation of brain circuits. From that understanding, we hope to clarify the mechanisms by which existing DBS therapy works. In addition, considerations from information theory, and the relationships between concepts like entropy, energy and information flow, can help guide the design of more advanced therapy systems. We briefly review these concepts as applied to brain circuits and disease. We then describe our recent work in designing research tools that allow for exploration of adaptive circuit modulation based on measured electrical biomarkers, which are believed to represent compromised information processing in the brain. Future opportunities are discussed to highlight that electrical engineering, from MEMS to circuits to signal processing, is crucial to enabling the next generation of neurological therapies.

Parkinsonism and vigilance: alteration in neural oscillatory activity and phase-amplitude coupling in the basal ganglia and motor cortex

Oscillatory neural activity in different frequency bands and phase-amplitude coupling (PAC) are hypothesized to be biomarkers of Parkinsons disease (PD) that could explain dysfunction in the motor circuit and be used for closed-loop deep brain stimulation (DBS). How these putative biomarkers change from the normal to the parkinsonian state across nodes in the motor circuit and within the same subject, however, remains unknown. In this study, we characterized how parkinsonism and vigilance altered oscillatory activity and PAC within the primary motor cortex (M1), subthalamic nucleus (STN), and globus pallidus (GP) in two nonhuman primates. Static and dynamic analyses of local field potential (LFP) recordings indicate that 1) after induction of parkinsonism using the neurotoxin MPTP, low-frequency power (8-30 Hz) increased in the STN and GP in both subjects, but increased in M1 in only one subject; 2) high-frequency power (~330 Hz) was present in the STN in both normal subjects but absent in the parkinsonian condition; 3) elevated PAC measurements emerged in the parkinsonian condition in both animals, but in different sites in each animal (M1 in one subject and GPe in the other); and 4) the state of vigilance significantly impacted how oscillatory activity and PAC were expressed in the motor circuit. These results support the hypothesis that changes in low- and high-frequency oscillatory activity and PAC are features of parkinsonian pathophysiology and provide evidence that closed-loop DBS systems based on these biomarkers may require subject-specific configurations as well as adaptation to changes in vigilance.NEW & NOTEWORTHY Chronically implanted electrodes were used to record neural activity across multiple nodes in the basal ganglia-thalamocortical circuit simultaneously in a nonhuman primate model of Parkinsons disease, enabling within-subject comparisons of electrophysiological biomarkers between normal and parkinsonian conditions and different vigilance states. This study improves our understanding of the role of oscillatory activity and phase-amplitude coupling in the pathophysiology of Parkinsons disease and supports the development of more effective DBS therapies based on pathophysiological biomarkers.

An 8μW Heterodyning Chopper Amplifier for Direct Extraction of 2μV rms Neuronal Biomarkers

This paper describes a prototype architecture that tracks the power fluctuations in discrete frequency bands for a broad spectrum of neuronal biomarkers. The circuit merges chopper-stabilization with heterodyne signal processing to construct a low-noise amplifier with highly programmable, robust filtering characteristics. It is concluded that in our application, the area and modest noise penalty are offset by the benefit of a well-partitioned analog-to-digital boundary flexible enough to potentially extract a wide spectrum of biomarkers associated with disease.