P300 latency and age: a quadratic regression explains their relationship from age 5 to 85

Clin Electroencephalogr. 1998 Jan;29(1):1-6. doi: 10.1177/155005949802900105.


The use of P300 latency to demonstrate cognitive dysfunction is important. P300 latency decreases with age in children and then increases with age in adults. It has been debated whether the relationship between age and P300 latency is linear or quadratic. If the relationship is linear, then at least two regression equations in opposite directions are required for children and for adults, and perhaps a third for the elderly. This is a report of data from an age-stratified sample of 97 normal individuals ages 5 through 85. The best regression equation is quadratic, using log transformed age, with accurate projection of 95% confidence limits for P300 latency by age. This quadratic regression simplifies the application of P300 latency across the life-span in the management of disorders affecting cognition, such as Traumatic Brain Injury, Attention Deficit-Hyperactivity Disorder, and Obstructive Sleep Apnea.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Child
  • Child, Preschool
  • Data Interpretation, Statistical
  • Event-Related Potentials, P300*
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Regression Analysis