Detection of neural signatures related to pathological behavioral states could enable
adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for …

Modelling the spatiotemporal dynamics in the activity of neural populations while also
enabling their flexible inference is hindered by the complexity and noisiness of neural …

Adaptive deep brain stimulation (aDBS) is a promising new technology with increasing use
in experimental trials to treat a diverse array of indications such as movement disorders …

Objective. To provide a design analysis and guidance framework for the implementation of
concurrent stimulation and sensing during adaptive deep brain stimulation (aDBS) with …

In Parkinson's disease, imbalances between 'antikinetic'and 'prokinetic'patterns of neuronal
oscillatory activity are related to motor dysfunction. Invasive brain recordings from the motor …

The role of thalamocortical circuits in memory has driven a recent burst of scholarship,
especially in animal models. Investigating this circuitry in humans is more challenging. And …

Advances in neuromodulation technologies hold the promise of treating a patient's unique
brain network pathology using personalized stimulation patterns. In service of these goals …

Background: Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD)
that is often refractory to medication. Pathological prolonged beta bursts within the …

The ability of humans to coordinate stereotyped, alternating movements between the two
legs during bipedal walking is a complex motor behavior that requires precisely timed …

Local field potentials (LFPs) are signals generated primarily by the result of the synchronous
discharge of post-synaptic potentials. Detection of LFPs from intracranial electrodes sited …