Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics.

. Closed-loop deep brain stimulation (DBS) is a promising therapy for Parkinson's disease (PD) that works by adjusting DBS patterns in real time from the guidance of feedback neural activity. Current closed-loop DBS mainly uses threshold-crossing on-off controllers or linear time-invariant (LTI) controllers to regulate the basal ganglia (BG) Parkinsonian beta band oscillation power.

Hidden Quantum Processes, Quantum Ion Channels, and 1/ f-Type Noise.

In this letter, we perform a complete and in-depth analysis of Lorentzian noises, such as those arising from [Formula: see text] and [Formula: see text] channel kinetics, in order to identify the source of [Formula: see text]-type noise in neurological membranes. We prove that the autocovariance of Lorentzian noise depends solely on the eigenvalues (time constants) of the kinetic matrix but that the Lorentzian weighting coefficients depend entirely on the eigenvectors of this matrix. We then show that there are rotations of the kinetic eigenvectors that send any initial weights to any target weights without altering the time constants.

Optimal causal filtering for 1 /fα-type noise in single-electrode EEG signals.

Understanding the mode of generation and the statistical structure of neurological noise is one of the central problems of biomedical signal processing. We have developed a broad class of abstract biological noise sources we call hidden simplicial tissues. In the simplest cases, such tissue emits what we have named generalized van der Ziel-McWhorter (GVZM) noise which has a roughly 1/fα spectral roll-off.

A New Statistical Model of Electroencephalogram Noise Spectra for Real-Time Brain-Computer Interfaces.

Objective: A characteristic of neurological signal processing is high levels of noise from subcellular ion channels up to whole-brain processes. In this paper, we propose a new model of electroencephalogram (EEG) background periodograms, based on a family of functions which we call generalized van der Ziel-McWhorter (GVZM) power spectral densities (PSDs). To the best of our knowledge, the GVZM PSD function is the only EEG noise model that has relatively few parameters, matches recorded EEG PSD's with high accuracy from 0 to over 30 Hz, and has approximately 1/f behavior in the midfrequencies without infinities.

Cell proliferation in the brains of NMDAR NR1 transgenic mice.

We have used genetically engineered NMDA receptor NR1+/- mice in which the gene for the NR1 subunit was modified in such a way that these mice express only 50% of the NR1 subunit. The NR1 subunit is necessary for NMDA receptor channel function. We investigated the effects of reduced NMDA receptor function on cell proliferation in the hippocampus and the amygdala of the adult mouse brain.

A patient with post-traumatic stress disorder developing stiff person syndrome: is there a correlation?

Stiff person syndrome (SPS) is an uncommon disorder characterized by progressive muscle stiffness, rigidity, and axial muscle spasms. It is presumed to be an autoimmune process, with glutamic acid decarboxylase antibodies present in most cases. Here, we present a case report of a patient diagnosed with post-traumatic stress disorder (PTSD) acquired by sexual trauma and by exposure to the severely wounded soldiers she attended as a nurse.

Markers of apoptosis: methods for elucidating the mechanism of apoptotic cell death from the nervous system.

Apoptosis is a highly conserved energy-requiring program for non-inflammatory cell death that is important in both normal physiology and disease. Numerous techniques have been used to study apoptosis. In the nervous system, apoptosis is necessary for normal development, but it also occurs in many acute and chronic pathologic conditions.