Tass Lab News and Events
Modern depth electrodes for deep brain stimulation enable to stimulate multiple parts of the surrounding issue through a number of stimulation contacts. Given we understand the anatomical location of a depth electrode relative to the actual target area, we have to determine the number of stimulation contacts for CR stimulation. In this computational study we analyzed the dependence of long-lasting CR desynchronizing effects on the number of stimulation sites and the stimulation frequency. Surprisingly, we revealed that long-lasting effects become most pronounced when stimulation parameters are adjusted to the characteristics of synaptic plasticity — rather than to neuronal frequency characteristics. In addition, we show that optimal long-lasting desynchronization does not require larger numbers of stimulation sites. In fact, only a few stimulation sites might be sufficient.
To avoid damage to neuronal tissue, it is important to stimulate neuronal tissue at minimum absolute values of the stimulating current. Several applications require to deliver periodic pulse trains which entrain neuronal populations, i.e. force the neuronal populations to discharge in synchrony with the delivered pulse train. With techniques from theoretical physics and biophysics, we have derived a general expression forthe optimal stimulation waveform, which provides an entrainment of a neural network to the stimulation frequency with a minimum absolute value of the stimulating current. This is to fulfill the minimum-charge condition which aims at reducing damage to neural tissue.
Many studies have been devoted to the development of stimulation techniques counteracting excessive neuronal synchrony. In order to target the underlying cause of strong synchrony, we present a novel approach: decoupling stimulation. Analyzing the decoupling potential of different stimulation patterns, we present a random reset stimulation algorithm which induces parameter-robust long-lasting desynchronization that persists after cessation of stimulation.
In a computational study we combined auditory filter theory and acoustic Coordinated Reset (CR) neuromodulation technology and introduced equivalent rectangular filter-based acoustic CR neuromodulation. This method was designed to specifically counteract abnormal neuronal synchronization, e.g., in patients with chronic subjective tinnitus.
In a computational study we introduce a novel type of adaptive deep brain stimulation: adaptive pulsatile linear delayed feedback stimulation. This stimulation method was designed to specifically counteract abnormal neuronal synchronization as found in a number of brain disorders, e.g. Parkinson’s disease.
Vibrotactile Stimulation Treatment for Parkinson's Disease
Stanford is testing non-invasive treatments for Parkinson's Disease and Stroke. One of the methods being tested is a glove that administers weak non-painful vibratory stimuli through to the patient's fingers. In this video, we show one patient's experience with this experimental therapy.