EEG Spectral Changes Linked to Psychiatric Medications: Computational Pipeline for Data Mining and Analysis

Studies in health technology and informatics, vol. 294, pp. 957–958

Abstract

The presented computational pipeline is designed to analyze drug-induced changes in EEG data from the Temple University EEG Corpus. The data is cleaned from artifacts, pre-processed, the averaged absolute and relative frequency powers are calculated and compared to a control group. Thus, different research hypotheses can be tested with the intention to reuse accessible data collections.

Authors 6

1. Anna Maxion Aachen Junior Research Group Neuroscience Interdisciplinary Center for Clinical Research Within the Faculty of Medicine

   RWTH Aachen University

   Affiliation as printed

   Junior Research Group Neuroscience, Interdisciplinary Center for Clinical Research Within the Faculty of Medicine, RWTH Aachen University, Aachen, Germany

2. Arnim Johannes Gaebler Aachen Department of Psychiatry, Psychotherapy and Psychosomatics Medical Faculty Institute of Physiology, Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

   Institute of Physiology, Medical Faculty, RWTH Aachen University, Aachen, Germany

3. Daniela Albiez Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

4. Klaus Mathiak Aachen Department of Psychiatry, Psychotherapy and Psychosomatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

5. Jana Zweerings Aachen Department of Psychiatry, Psychotherapy and Psychosomatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

6. Ekaterina Kutafina Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University · AGH University of Krakow

   Affiliation as printed

   Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

   Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland; Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany