Management and Evolutionary Analysis from Behavioral and Cognitive Measures

Abstract

In this paper we present the basis of a tool for managing and assessing the evolution of subjects (patients) with central nervous systems alterations. This tool takes into account behavioral data, combined with neurophysiological measures obtained from a specific hardware designed to capture evoked potentials. Evoked potentials are used to measure electrical brain activity in response to visual, auditory or somatosensory stimulus. The stimuli, which are sent to the brain through each of these senses, evoke minute electrical signals that can be interpreted. These neurophysiological measures have been used in countless cases, but it is necessary to implement formal- based software capable of providing the therapist storage and management methods of these signals, taking into consideration behavioral data, fused as an efficient way of obtaining a knowledge base for decision making. Particularly, in this paper we emphasize the use of a certain type of cognitive component (P300) as a neurophysiological measure to assess, objectively (analyzing its evolution over time), the effectiveness of clinical treatments designed to improve impulsivity and lack of concentration in ADHD subjects (Attention Deficit/Hyperactivity Disorder).

Keywords

• Cognitive measures
• evoked potentials
• neurophysiological measures
• health informatics
• density-based averaging