Subclinical rhythmic electrographic discharges of adults (SREDA) revisited: a study using digital EEG analysis.
Previous descriptions of the subclinical rhythmic electrographic discharges of adults (SREDA) have been based entirely on visual analysis of analog electroencephalographic (EEG) recordings. The introduction of digital electroencephalograms (EEGs) and advances in digital signal processing provide an opportunity to restudy in more depth the nature of SREDA. We identified nine patients who had SREDA diagnosed on a routine EEG recording since the introduction of digital EEG to our laboratory in August 1995. Following careful rereview using standard montages, six of these patients were determined to fulfill the traditional requirements for the diagnosis of SREDA, whereas three were believed to have other benign discharges. Review with Laplacian montages demonstrated that the site of the SREDA activity was maximal in the parietal region or parietocentrotemporal regions, whereas it was maximal in the temporal or frontotemporal regions in the non-SREDA discharges. Frequency analysis, using both the conventional fast Fourier transform (FFT) and time-frequency mapping with the Wigner FFT variant, demonstrated that the SREDA consisted of a complex mixture of multiple rapidly shifting frequencies which showed little spatial and temporal correlation. In contrast, the non-SREDA all consisted of a single dominant well-organized rhythmic frequency spectrum that remained stable throughout space and time.
O'Brien
T J
TJ
Department of Neurology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota 55905, USA.
Sharbrough
F W
FW
Westmoreland
B F
BF
Busacker
N E
NE
D000328:Adult; D000368:Aged; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D010507:Periodicity; D012189:Retrospective Studies; D012640:Seizures / Q000175:diagnosis; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014851:Wakefulness / Q000502:physiology