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M C Salinsky

Publications and source records attributed to M C Salinsky.

5 recordsLinked to original sources

A comparison of quantitative EEG frequency analysis and conventional EEG in patients with focal brain lesions.

The sensitivity and specificity of quantified EEG frequency analysis (EEGFA) were assessed in a group of patients with CT or MRI verified unilateral cerebral lesions and compared with the results of conventional EEG interpretations. Digital EEG recordings were obtained in 25 patients and 25 normal control subjects during performance of an alerting task. Recording artifacts were carefully eliminated. The results of EEGFA were then statistically compared with those of 75 additional normal subjects in the same age range. Complete conventional EEGs were blindly interpreted by two independent electroencephalographers using a structured reporting procedure. We observed similar overall sensitivities for the two methods. Optimal yield for EEGFA was associated with the use of longer edited EEG lengths, longitudinal bipolar montage, and normative data based on total EEG power. In those recordings with normal or mildly abnormal EEG backgrounds the two techniques were to an extent complimentary, each detecting abnormalities missed by the other. In such circumstances EEGFA may be useful as an extension of conventional EEG interpretation.

Adult

Test-retest reliability in EEG frequency analysis.

This study was performed to gain a better understanding of EEG frequency analysis test-retest reliability in normal healthy adults, and to evaluate factors which could influence the measured inter-record differences. Nineteen subjects underwent serial EEG recordings at 5 min and 12-16 week intervals. Records were visually edited using a standardized protocol, and FFT frequency analysis performed on segments of 60, 40, or 20 sec total length. Correlation coefficients for broad band features averaged 0.92 over the 5 min retest interval and 0.84 over the 12-16 week interval. There was essentially no difference between correlation coefficients of absolute and relative power features. Coefficients based on 60 sec records were marginally higher than those of 40 or 20 sec records. On the other hand, test-retest percent differences were typically lower for relative as opposed to absolute power features, and 60 sec records showed consistently lower percent differences than did 40 or particularly 20 sec records. Peak alpha frequency and mean frequency were the most stable EEG features at either interval. Montage had significant effects on test-retest differences at the 12-16 week interval. A significant association between intra-record and inter-record variability could not be demonstrated.

Brain

EEG mapping.

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Brain Mapping

Epilepsy, driving laws, and patient disclosure to physicians.

To avoid loss of driving privileges, patients with epilepsy may elect not to report seizures to their physician or to the Department of Motor Vehicles (DMV). Reporting to the physician may differ depending upon the type of law in effect, i.e., mandatory physician reporting versus patient reporting to the DMV. Nondisclosure to the physician may have important consequences with regard to seizure management. We surveyed patients at two adult seizure clinics to determine the effect of driving laws on patients' reporting to their physician. One hundred fifty-eight patients completed an anonymous questionnaire asking whether they would report a breakthrough seizure under a physician versus a patient DMV reporting system. Under patient reporting, 96% would inform their physician and 56% would report to the DMV. Under physician reporting, 84% would inform their physician. This falls to 72% when considering currently driving patients only. An additional 9-17% of patients would continue to drive with a suspended license. In all, 53% would remain driving under patient reporting and 33% under physician reporting; however, with physician reporting, half of the illegally driving patients would have compromised their medical care, potentially increasing driving risk.

Automobile Driver Examination