Biosignal processing in psychophysiology: Principles and current developments

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

INTRODUCTION This chapter reviews issues related to the analysis of psychophysiological data. It focuses on general questions relevant to a variety of techniques, rather than on specific issues related to individual methods. In this new edition we have modified this chapter to account for the fact that new techniques and research domains are rapidly being added to the psychophysiology toolkit. For instance, the last 20 years have seen the growth of a number of integrated methods for analyzing brain and bodily function. The integration of physiological and anatomical data is now becoming standard, as are a series of multivariate methods for the parallel investigation of physiological activity from multiple locations and features (such as network analysis, multivoxel pattern analysis [MVPA], source analysis, and time-frequency analysis). Similarly, it is ever more common to integrate different imaging modalities (e.g., by combining electrophysiological and magnetic resonance data), or to combine manipulative and observational techniques (e.g., transcranial magnetic stimulation [TMS] and electrophysiological or optical recordings). Although the specific methodological details introduced by such combinations are beyond the scope of this chapter, they bring to the fore important statistical and inferential issues (such as the interpretation of causal links) that are central to current trends in biosignal processing and will therefore be discussed here. Stages of Data Processing In general, one of the main objectives of signal processing is maximizing the signal-to-noise ratio, which is reflected in the different stages of analysis of psychophysiological data. The first stage is signal enhancement and involves signal-to-noise enhancing methods such as filtering, as well as the elimination of artifacts and outliers. This stage, sometimes called “signal conditioning,” involves, at least in part, techniques that are specific to each type of physiological measure. The second stage is data reduction (sometimes called “quantification” or “parameter extraction”). Most psychophysiological experiments include a large number of observations per subject (i.e., dependent variables). Whereas this provides datasets that are rich in information content, it also increases the probability of spurious or noisy measurements. A large number of observations may contain many different signals to study, but may also contain a large amount of noise.

Original languageEnglish (US)
Title of host publicationHandbook of Psychophysiology, Fourth Edition
PublisherCambridge University Press
Pages628-661
Number of pages34
ISBN (Electronic)9781107415782
ISBN (Print)9781107058521
DOIs
StatePublished - Jan 1 2016

Fingerprint

Psychophysiology
Noise
Transcranial Magnetic Stimulation
Signal-To-Noise Ratio
Artifacts
Research Design
Magnetic Resonance Spectroscopy
Brain
Growth

ASJC Scopus subject areas

  • Psychology(all)

Cite this

Gratton, G., & Fabiani, M. (2016). Biosignal processing in psychophysiology: Principles and current developments. In Handbook of Psychophysiology, Fourth Edition (pp. 628-661). Cambridge University Press. https://doi.org/10.1017/9781107415782.029

Biosignal processing in psychophysiology : Principles and current developments. / Gratton, Gabriele; Fabiani, Monica.

Handbook of Psychophysiology, Fourth Edition. Cambridge University Press, 2016. p. 628-661.

Research output: Chapter in Book/Report/Conference proceedingChapter

Gratton, G & Fabiani, M 2016, Biosignal processing in psychophysiology: Principles and current developments. in Handbook of Psychophysiology, Fourth Edition. Cambridge University Press, pp. 628-661. https://doi.org/10.1017/9781107415782.029
Gratton G, Fabiani M. Biosignal processing in psychophysiology: Principles and current developments. In Handbook of Psychophysiology, Fourth Edition. Cambridge University Press. 2016. p. 628-661 https://doi.org/10.1017/9781107415782.029
Gratton, Gabriele ; Fabiani, Monica. / Biosignal processing in psychophysiology : Principles and current developments. Handbook of Psychophysiology, Fourth Edition. Cambridge University Press, 2016. pp. 628-661
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