title: A new scaling method for topographical comparisons of event-related potentials.
abstract: Recent studies have demonstrated that comparisons of scalp topographical distributions of event-related potentials (ERPs) between experiment conditions may not correctly indicate underlying changes in neural sources if the signals are not scaled prior to the comparisons. This important issue was re-evaluated in this paper using both simulated and experimental data. Simulated data were generated according to 16 different brain models containing 2-4 dipole sources varying in strength, orientation, origin and number. The changes made in the strength, orientation and origin included relative changes between the sources or symmetrical changes in the sources. Experimental data were ERPs collected from 45 infants at 3 months of age. Influences of linked-ear and average references were examined. A scaling method based on relations of signal amplitudes between conditions was devised and compared with the vector method (McCarthy and Wood, 1985). While real topographic differences generated by complex changes in underlying sources were preserved, interactions between condition and electrode site due to mere strength changes were successfully identified by the new method, irrespective of reference method used. However, the vector method was not always reliable because failure to differentiate or mistakenly indicate changes in sources may occur when a linked-mastoid reference was used. The method presented in this paper is reliable and recommended prior to topographic comparisons to distinguish different types of changes in underlying neural sources.
authors.affiliation: Arkansas Children's Nutrition Center, Slot # 512-20B, 1120 Marshall Street, Little Rock, AR 72202, USA. jinghongkui@uams.edu
authors.forename: Hongkui
authors.initials: H
authors.lastname: Jing
authors.forename: R T
authors.initials: RT
authors.lastname: Pivik
authors.forename: Roscoe A
authors.initials: RA
authors.lastname: Dykman
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods* / Q000592:standards; D004569:Electroencephalography / Q000379:methods* / Q000592:standards; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D007223:Infant; D008959:Models, Neurological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity