The neurosurgical treatment of pain.
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Biomedical subjects
Publications and source records attributed to Cole A Giller.
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BACKGROUND: Transcranial Doppler ultrasound has been extensively used to study cerebral hemodynamics, and yet the basic characteristics of the input/output system of blood pressure/velocity are little known. We examine whether this system can best be considered linear or non-linear. METHODS: We assessed the adequacy of linear modeling in four ways: (1) Known properties of cerebral blood flow were reviewed and analyzed from a systems standpoint; (2) 1100 ARX & OE model types were tested with data from 29 normal subjects, with and without lowpass filtering; (3) time-frequency analysis was used to identify nonstationary behavior and markers of non-linearity (such as bifurcations, chirps, and intermittent autoregulatory impairment) in the same data sets; (4) simple computer models of autoregulation incorporating time delays and non-linear elements were tested for production of spontaneous oscillations. RESULTS: (1) Several aspects of cerebral hemodynamics are poorly described by linear models, (2) the ARX & OE models performed poorly, (3) time-frequency analysis showed non-linear and nonstationary behavior, (4) the computer models produced spontaneous oscillations similar to those observed in humans. CONCLUSIONS: There is strong evidence that the blood pressure/velocity system is non-linear.
OBJECTIVE: Although radiosurgical practice mandates meticulous radiological follow-up, even the most efficient radiology department can be overwhelmed by the large number of radiosurgical patients who have undergone diagnostic studies for many years at many different institutions to follow many separate lesions. Although the task of assembling these studies is theoretically possible, because they are spread out in time and space, it is often impractical. We therefore sought to construct a computer-based system that could store images from multiple sources and present them instantly for review. METHODS: We attached a flatbed film scanner to a standard desktop computer in our clinic and scanned selected sheets of film into an image database at each visit of a radiosurgical patient. "Low-tech" solutions were deliberately chosen-that is, to enhance ease and software compatibility, we used the operating system's directory structure for organization of data instead of proprietary software. Standard commercially available software was used to review studies that had been previously scanned. RESULTS: During a 2- to 3-year period, images were scanned from 1129 studies performed on 435 patients. Images could be reviewed instantly and compared with current studies, and scanning a single piece of film required approximately 30 seconds. We estimate that the current capacity of our computer memory will satisfy our needs for approximately 12 years. CONCLUSION: Assembly of an efficient and inexpensive system for image storage and retrieval suitable for radiosurgical practice is feasible and straightforward. Although our system is not a substitute for a radiology department, it obviates the constant frustration of "finding the films" and has become an essential part of our radiosurgical practice.
OBJECT: The authors have developed an intracranial near-infrared (NIR) probe that analyzes the scattering of light emitted from its tip to measure the optical properties of cerebral tissue. Despite its success in distinguishing graymatter from white matter in humans during stereotactic surgery, the limits of this instrument's resolution remain unclear. In this study, the authors determined the spatial resolution of this new probe by using a rodent model supplemented with phantom measurements and computer simulation. METHODS: A phantom consisting of Intralipid and gelatin was constructed to resemble a layer of white matter overlying a layer of gray matter. Near-infrared measurements were obtained as the probe was inserted through the gray-white matter transition. A computer simulation of NIR measurements through a gray-white matter transition was also performed using Monte Carlo techniques. The NIR probe was then used to study 19 tracks from the cortical surface through the corpus callosum in an in vivo rodent preparation. The animals were killed and histological sections through the tracks were obtained. Data from the phantom models and computer simulations showed that the NIR probe samples a volume of tissue extending 1 to 1.5 mm in front of the probe tip (this distance is termed the "lookthrough" distance). Measurements obtained from an NIR probe passing through a thin layer of white matter consisted of an initial segment of increasing values, a maximum (peak) value, and a trailing segment of decreasing values. The length of the initial segment is the lookthrough distance, the position of the peak indicates the location of the superficial white matter boundary, and the length of the trailing segment is the thickness of the layer. These considerations were confirmed in experiments with rodents. All tracks passed through the corpus callosum, which was demonstrated as a broad peak on each NIR graph. The position of the dorsal boundary of the corpus callosum and its width (based on histological measurements) correlated well with the peak of the NIR curve and its trailing segment, respectively. The initial segments correlated well with estimates of the lookthrough distance. Five of the tracks transected the smaller anterior commissure (diameter 0.2 mm), producing a narrow NIR peak at the correct depth. CONCLUSIONS: Data in this study confirm that the NIR probe can reliably detect and measure the thickness of layers of white matter as thin as 0.2 mm. Such resolution should be adequate to detect larger structures of interest encountered during stereotactic surgery in humans.
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In 2 patients with essential tremor, thalamotomy in the ventralis intermedius (VIM) provided lasting tremor relief after thalamic stimulation of the VIM failed. These cases illustrate that the effects of deep brain stimulation might not be those of simple inhibition, and that thalamotomy should be considered when deep brain stimulation does not succeed.