Translational
One significant overarching goal of the rNET lab is to utilize network science to identify key nodes within the neural networks that have been identified as coactive in particular circumstances (i.e. frontoparietal network, cingulo-opercular network, and default mode network). After identifying key nodes and clusters within these networks, we aim to identify the impact of electrical stimulation on the network state. Network science combines principles from mathematics, physics, signal processing, and neuroscience, which allows us to study the sophisticated interactions of various brain regions that contribute to complex behavioral phenomena. Graph theory has been increasingly utilized in neuroscience and can be used to define brain states characterizing the integration of activity across these wide-spread networks and the relative topography of coactive regions.
We are particularly interested in studying spontaneous neural features present in the time period just prior to task engagement, which we refer to as the "preparatory control" period. Previous work from our lab demonstrates that dynamic graph theoretic measures of communication during the preparatory control period can predict trial-by-trial performance on a cognitive task. We hypothesize that, if we can detect biomarkers of positive and negative preparatory control states, we may be able to induce state transitions towards the positive states to improve cognitive performance.
We are particularly interested in studying spontaneous neural features present in the time period just prior to task engagement, which we refer to as the "preparatory control" period. Previous work from our lab demonstrates that dynamic graph theoretic measures of communication during the preparatory control period can predict trial-by-trial performance on a cognitive task. We hypothesize that, if we can detect biomarkers of positive and negative preparatory control states, we may be able to induce state transitions towards the positive states to improve cognitive performance.
Clinical
Research in the clinical domain spans across various aspects of functional neurosurgery. In addition to our heavy focus on applying the principals of graph theory to network organization, we aim to utilize these functionally and anatomically derived network nodes to optimally achieve therapeutic effect for neurologic diseases refractory to medical management, and sometimes prior surgical management.
Movement disorders, particularly those which are complex or multiple co-presenting movement disorders warrant multi-target deep brain stimulation. Currently we are investigating the use of up to four directional deep target leads in medically refractory complex movement disorders (i.e. Holme's Tremor). This technique may enhance outcomes for movement disorder patients while minimizing capsular side effects.
Epilepsy represents an exceedingly complex clinical challenge that warrants constant investigation. Currently, members of the lab are investigating the use of deep target leads for responsive neuro-stimulation as preventative and abortive therapy for neurogenic focal seizures. The use of deep target leads for such purpose is currently less common than cortical arrays, however given the significant interconnected nature and distributed fibers at the thalamus such a technique for closed loop monitoring and stimulation holds promise.
Movement disorders, particularly those which are complex or multiple co-presenting movement disorders warrant multi-target deep brain stimulation. Currently we are investigating the use of up to four directional deep target leads in medically refractory complex movement disorders (i.e. Holme's Tremor). This technique may enhance outcomes for movement disorder patients while minimizing capsular side effects.
Epilepsy represents an exceedingly complex clinical challenge that warrants constant investigation. Currently, members of the lab are investigating the use of deep target leads for responsive neuro-stimulation as preventative and abortive therapy for neurogenic focal seizures. The use of deep target leads for such purpose is currently less common than cortical arrays, however given the significant interconnected nature and distributed fibers at the thalamus such a technique for closed loop monitoring and stimulation holds promise.
