Title of article :
Identification of the stimulated hemiretina in primary school children and adults based on left and right hemifield pattern reversal visual evoked potentials – a comparative study
Author/Authors :
Vern K. Hoffmann، نويسنده , , L. Leistritz، نويسنده , , M. Feucht، نويسنده , , F. Benninger، نويسنده , , D. Reiter، نويسنده , , H. Witte، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2001
Abstract :
Objectives: The analysis of left and right hemifield pattern-reversal visual evoked potentials (PVEPs) in children and the identification of the stimulated hemiretina testing different identification procedures previously applied to adults.
Methods: Lateral hemifield PVEPs were recorded in 40 children (6–11 years) and 27 adults (25–40 years) from, at least, 19 standard electrodes. Two procedures were tested for the determination of the stimulated hemifield: firstly, the evaluation of the values of instantaneous frequency at the occipital electrodes at P100 latency (determined by the global field power), and secondly, the application of a generalised dynamic neural network (GDNN) using the PVEP time course at selected electrode positions as the external input.
Results: P100 latency as well as P100 amplitude over the contralateral occiput in children were significantly greater than in adults. Contrary to the behaviour in adults, instantaneous frequency is not a robust identifier of left and right hemiretina stimulation in children. The best identification performances were achieved when using group trained GDNNs with the bipolar difference signals of electrodes P3/P4 or T5/T6 as the external input.
Conclusions: The PVEPs at electrodes P3/P4 and T5/T6 contain essential information for the determination of the stimulated hemifield. This should be further considered during the development of on-line procedures for automatic PVEP detection in future studies.
Keywords :
Hemifield pattern-reversal visual evoked potentials , instantaneous frequency , neural network
Journal title :
Clinical Neurophysiology
Journal title :
Clinical Neurophysiology