Cerebral and cerebellar activation in power and precision grip movements: an H2 15O positron emission tomography study.

SUMMARY: Most human manual grip movements can be divided into power gripping and precision gripping, but central neural control during these tasks remains unclear. We investigated activation of the whole brain to analyze how simple hand movements are performed. The cerebral blood flow of seven healthy right-handed volunteers was measured by H2 15O positron emission tomography during right grip tasks without gripping a target object. Auditory-cued, repetitive power grips (i.e., fist making) and repetitive precision grips (i.e., opposition of the tip of the index finger and the tip of the thumb) were performed at 1.26 Hz. The areas activated during both tasks were the left primary sensorimotor cortex, caudal portion of the dorsal premotor, caudal portion of the supplementary motor area, cingulate motor area, and the right spinocerebellum and intermediate region of the cerebrocerebellum in comparison with the rest state. The analysis of power grip-precision grip tasks showed the activated peaks in the upper portion of the left sensorimotor area and right cerebellar vermis, but these areas were activated in both the tasks [(power grip-rest) and (precision grip-rest)] with uncorrected P < 0.001 as the statistical criterion. With P < 0.05 corrected as the statistical criterion, the results showed no significant activated peaks in regional cerebral blood flow. Our findings indicate no difference in brain activation between the acts of power grip and precision grip without a target object.

Evaluation of video capture equipment for secondary image acquisition in the PACS.

There are many cases in which picture archiving and communication systems (PACS) are built with old-type existing modalities with no DICOM output. One of the methods for interfacing them to the PACS is to implement video capture (/ frame grabber) equipment. This equipment takes analog video signal output from medical imaging modalities, and amplitude of the video signal is A/D converted and supplied to the PACS. In this report, we measured and evaluated the accuracy at which this video capture equipment could capture the image. From the physical evaluation, we found the pixel values of an original image and its captured image were almost equal in gray level from 20%-90%. The change in the pixel values of a captured image was +/-3 on average. The change of gray level concentration was acceptable and had an average standard deviation of around 0.63. As for resolution, the degradation was observed at the highest physical level. In a subjective evaluation, the evaluation value of the CT image had a grade of 2.81 on the average (the same quality for a reference image was set to a grade of 3.0). Abnormalities in heads, chests, and abdomens were judged not to influence diagnostic accuracy. Some small differences were seen when comparing captured and reference images, but they are recognized as having no influence on the diagnoses.