Neural communication occurs by means of bioelectrical processes that can be registered by EEG (electroencefalography) and MEG (magnetoencefalo-graphy). Along the time axis, these processes may be periodic, thus generating different cerebral rithms or oscillations (theta, alfa, beta, gamma). EEG or MEG signal analysis implies the analysis of cerebral activity in a global, regional, synchronic or frecuential way. This fact makes it possible to associate such activity with cognitive functions or with specific behaviors, by means of different mathematical models. We exemplify this analysis with the study of relations between the theta rithm and memory processes and, moreover, the relevance of complexity in the diagnose and evaluation of treatment in children with attention deficit.
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