EEG recording, data pre-processing and ERP potentials. An adaptation of local resources to the highest standards

RECOLECCIÓN Y PRE-PROCESAMIENTO DE DATOS DE EEG Y POTENCIALES ERP. UNA ADAPTACIÓN DE LOS RECURSOS LOCALES A LOS ALTOS ESTÁNDARES

Autores/as

  • Lorenzo Raggi Universidad del Salvador - Universidad de Buenos Aires
  • Cordelia Keberle St. Lawrence University
  • Caroline E. Clark Davidson College
  • Jorge Mario Andreau Universidad del Salvador

Palabras clave:

ERP, EEG, Psychophysiology, Neuroscience

Resumen

Electroencephalography (EEG) recording constitutes a relatively inexpensive and non-invasive method to study the electrophysiological activity underlying several cognitive processes. Nonetheless, from a closer look, EEG recording and analysis has several critical steps and conditions that must be achieved in order to be able to understand the underlying cerebral activity. The aim of the present article is to offer a detailed explanation of the different requirements that need to be fulfilled in order to correctly analyze EEG activity. The next stage is to acquire the event- related potentials (ERP) based on the average of the preprocessed EEG signals. ERP activity is usually time locked to a particular event. To exemplify pre-processing of EEG data and ERP components, we use the example of a classical P300 task. Details associated with different parameters (filters, baseline, epochs, etc.) will be discussed.

Biografía del autor/a

Lorenzo Raggi, Universidad del Salvador - Universidad de Buenos Aires

Neuroscience Laboratory. Psychology and Psychopedagogy Department. Universidad del Salvador, Buenos Aires, Argentina.Psychology Department, Buenos Aires University, Buenos Aires, Argentina.

Cordelia Keberle, St. Lawrence University

St. Lawrence University, Canton, New York, United States

Caroline E. Clark, Davidson College

Davidson College, Davidson, North Carolina, United States.

Jorge Mario Andreau, Universidad del Salvador

Neuroscience Laboratory. Psychology and Psychopedagogy Department. Universidad del Salvador, Buenos Aires, Argentina.

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Publicado

2024-07-22

Cómo citar

Raggi, L., Keberle, C., Clark, C. E., & Andreau, J. M. (2024). EEG recording, data pre-processing and ERP potentials. An adaptation of local resources to the highest standards: RECOLECCIÓN Y PRE-PROCESAMIENTO DE DATOS DE EEG Y POTENCIALES ERP. UNA ADAPTACIÓN DE LOS RECURSOS LOCALES A LOS ALTOS ESTÁNDARES. Revista De Psicología Y Psicopedagogía, (8). Recuperado a partir de https://p3.usal.edu.ar/index.php/psicol/article/view/7011

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Sección

TRABAJO METODOLÓGICO