https://sccn.ucsd.edu/eeglab/download/eeglab_jnm03.pdf

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

Brain-computer interfaces for communication and control.

Long-lasting EEG reactions in comatose patients after repetitive stimulation

The amount of event-related decrease of increase in alpha-band power is termed "Event-Related Desynchronization" or ERD. In this study, ERD is used as an index of cortical activation, which not only can be applied to monitor poststimulus but prestimulus processes as well. Usually, ERD is analyzed within a fixed range of alpha-frequency, typically within a range of 8-12 Hz. alpha-frequency, however, shows a considerable between subject variation, even in a sample of subjects with comparable age. The purpose of this study, thus is to show as to how the range of alpha-frequency affects the calculation of ERD. Two different methodological approaches were compared. First, ERD was calculated within a fixed range of 8-12 Hz. Second, ERD was calculated within an individual range, which was adjusted to the individually determined alpha-frequency of each subject. A sample of ten right handed subjects participated in an episodic memory experiment, in which target words, shown in a earlier session of the experiment, were to be identified. A time span of 375 ms preceding and following the presentation of a word was defined as the "pre-" and "poststimulus" interval. EEG-signals were recorded unipolarly from 29 leads. The results show a rather localized increase of ERD in the poststimulus interval. In the prestimulus interval on the other hand, the average magnitude of ERD is much lower and the topographical distribution less localized. Most importantly, however, when comparing the two methods of analyzing ERD, those ERD-values calculated within an individually determined alpha-band, are superior in order to differentiate between the pre- and poststimulus interval.

Ereignisbezogene Desynchronisation und die Wahl des Alpha-Frequenzbandes zur Quantifizierung kortikaler Prä- und Poststimulus-Aktivierung

Objective This study investigates the influence of eye movement direction on patterns of brain activation. Methods The processing of visual input was investigated by quantifying event-related desynchronization (ERD) in the electroencephalogram (EEG). Cue-based vertical and horizontal eye movements were measured with an eye tracker. Differences between vertical and horizontal eye movements in EEG and eye-tracking data were analyzed. Results The results of this study indicate that vertical and horizontal eye movements result in different ERD and ERS patterns. During the execution of a saccade vertical eye movements are accompanied by a stronger ERS whereas the fixation of the cue is related to stronger ERD after horizontal eye movements. Conclusion The fact that eye movements are correlated with a desynchronization of activity in parietal and occipital areas is reasonable, since visual information processing and visual control of movements take place there. Stronger ERD in the alpha band could be related to the fact that information processing tasks like e.g. reading require mostly horizontal and not vertical eye movements. Significance The differences in the ERD/ERS patterns in relation to the direction of the eye movement should be considered in future investigations and taken into account in the construction of paradigms.

Investigation of cue-based vertical and horizontal eye movements with electroencephalographic and eye-tracking data

Cardiac field artifact in sleep EEG

This paper presents a method to recover task-related sources from a multi-class Brain-Computer Interface (BCI) based on motor imagery Our method gathers two common approaches to tackle the multi-class problem: 1) the supervised approach of Common Spatial Pattern (CSP) to discriminate between diﬀerent tasks; 2) the criterion of statistical independence of non-stationary sources used in Independent Component Analysis (ICA) We show that the resulting spatial ﬁlters have to be adapted to each subject and that the combined use of intra-trial and inter-class energy variations of brain sources yield an increase of classiﬁcation rates for four among eight sub jects

https://hal.archives-ouvertes.fr/hal-00323579/document

Gert Pfurtscheller

Papers

Long-lasting EEG reactions in comatose patients after repetitive stimulation

Ereignisbezogene Desynchronisation und die Wahl des Alpha-Frequenzbandes zur Quantifizierung kortikaler Prä- und Poststimulus-Aktivierung

Investigation of cue-based vertical and horizontal eye movements with electroencephalographic and eye-tracking data

Cardiac field artifact in sleep EEG

Multi-Class Independent Common Spatial Patterns: Exploiting Energy Variations of Brain Sources