CORRELATION OF DEVELOPMENTAL NEUROLOGICAL FINDINGS WITH SPECTRAL ANALYTICAL EEG EVALUATIONS IN PRESCHOOL AGE CHILDREN

Citation
Rg. Schmid et al., CORRELATION OF DEVELOPMENTAL NEUROLOGICAL FINDINGS WITH SPECTRAL ANALYTICAL EEG EVALUATIONS IN PRESCHOOL AGE CHILDREN, Electroencephalography and clinical neurophysiology, 103(5), 1997, pp. 516-527
Citations number
35
Categorie Soggetti
Clinical Neurology
ISSN journal
00134694
Volume
103
Issue
5
Year of publication
1997
Pages
516 - 527
Database
ISI
SICI code
0013-4694(1997)103:5<516:CODNFW>2.0.ZU;2-5
Abstract
For the differentiation of developmental neurological disorders in pre -school age children, the relationship between automatically derived E EG parameters and developmental neurological findings was investigated . Within the scope of the Munich Pediatric Longitudinal Study, the sam ple sets of 4- and 5-year-old children (according to the frontal and p arieto-occipital EEG derivations) with selected abnormal findings cate gorized by special items were compared with the corresponding control groups. This was carried out by means of one-sided t tests and relativ e frequency band-related as well as single-step spectral power paramet ers in the alpha range of the EEG. Automatic analysis using single-ste p power values was superior to that using band-related parameters. Thi s led to the conclusion that use of age-specific single step parameter s for a quantitative EEG analysis and ignoring the classical frequency bands will yield statistically greatly improved results. For 4- and 5 -year-old children, the best separation of the neurologically abnormal groups from the normal control groups was obtained using relative spe ctral values in the frequency range of 9.0-9.8 Hz with a maximum at 9. 4 Hz. At the same time, the topographical conditions of brain immatura tion should be taken into account. The results for the children examin ed in this study differ in a stronger distinction over the frontocentr al brain region of 4- and 5-year-olds (P < 0.01) and through an additi onal distinction over the parietooccipital region of the 5-year-olds ( P < 0.001). It still must be tested whether the spectral parameter at 9.4 Hz is age-specific for 4- and 5-year-old children or whether in ot her age groups different spectral parameters are of use. As an examine r-independent method, the automatic EEG analysis should become an inte gral component of developmental neurological diagnostics. (C) 1997 Els evier Science Ireland Ltd.