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1.
Zh Vyssh Nerv Deiat Im I P Pavlova ; 60(5): 596-608, 2010.
Article in Russian | MEDLINE | ID: mdl-21260983

ABSTRACT

Patients with the initial stage of Parkinson disease (PD) and matched controls performed repetitive bendings and turnings in standing position. Tasks included trunk movements in each of the anatomical planes: sagittal, frontal and axial. Electromagnetic system Flock of Birds was used for movement registration. Sensors were fixed at different segments of subject's body. Joint angles in the ankle, hip and torso as well as coordinates of the center of pressure served as output parameters. The amplitudes of joint angles were found to be lower in PD patients. Performance of the axial rotation revealed most pronounced differences. Thus, the amplitudes of joint angles of trunk movements in different anatomical planes reliably discriminate between PD patients and healthy subjects.


Subject(s)
Movement , Parkinson Disease/physiopathology , Biomechanical Phenomena , Case-Control Studies , Discriminant Analysis , Female , Humans , Linear Models , Male , Middle Aged
2.
Neuroscience ; 158(2): 545-52, 2009 Jan 23.
Article in English | MEDLINE | ID: mdl-19027831

ABSTRACT

In awake animals, the activity of the cerebral cortex is highly complex, with neurons firing irregularly with apparent Poisson statistics. One way to characterize this complexity is to take advantage of the high interconnectivity of cerebral cortex and use intracellular recordings of cortical neurons, which contain information about the activity of thousands of other cortical neurons. Identifying the membrane potential (Vm) to a stochastic process enables the extraction of important statistical signatures of this complex synaptic activity. Typically, one estimates the total synaptic conductances (excitatory and inhibitory) but this type of estimation requires at least two Vm levels and therefore cannot be applied to single Vm traces. We propose here a method to extract excitatory and inhibitory conductances (mean and variance) from single Vm traces. This "VmT method" estimates conductance parameters using maximum likelihood criteria, under the assumption that synaptic conductances are described by gaussian stochastic processes and are integrated by a passive leaky membrane. The method is illustrated using models and is tested on guinea-pig visual cortex neurons in vitro using dynamic-clamp experiments. The VmT method holds promises for extracting conductances from single-trial measurements, which has a high potential for in vivo applications.


Subject(s)
Electric Conductivity , Membrane Potentials/physiology , Neurons/physiology , Synapses/physiology , Animals , Biophysical Phenomena , Guinea Pigs , In Vitro Techniques , Models, Neurological , Neural Inhibition/physiology , Occipital Lobe/cytology , Patch-Clamp Techniques , Stochastic Processes
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