Workshop: Optimising psychophysiological data quantification using Principal Components Analysis (PCA)
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1
University of Wollongong, School of Psychology, Australia
Background: Principal components analysis (PCA) has been implemented in a range of psychophysiological research for some years. PCA methodology has been developed for the quantification of electroencephalographic (EEG), event-related potential (ERP), and event-related spectral perturbation (ERSP) data, and published in articles across a range of topics, providing valuable insight into topics such as, but not limited to, development, healthy ageing, brain dynamics, cognitive control, psychopharmacological effects, and the orienting reflex.
Content: This workshop will cover the background and applications of PCA in electrophysiological research. We will discuss temporal (and spatial) PCA of ERP data, frequency PCA of EEG spectra, and time-frequency PCA of ERSP data. PCA demonstrations will be implemented using a freely available MATLAB toolbox.
Outcomes: Workshop participants will gain an understanding of PCA methods, considerations and outcomes, for the quantification of prominent electrophysiological measures. Participants will be more equipped to implement their own PCAs in accordance with best practice, and will have more confidence in choosing from amongst the variety of options available, and be aware of appropriate references to guide and support them.
Keywords:
workshop,
Principal Components Analysis (PCA),
ERPs,
EEG,
ERSP
Conference:
ASP2017: 27th Annual Meeting for the Australasian Society for Psychophysiology, Parramatta, Australia, 29 Nov - 1 Dec, 2017.
Presentation Type:
Oral Presentation
Topic:
Abstract (General)
Citation:
Barry
RJ,
De Blasio
FM and
Fogarty
JS
(2019). Workshop: Optimising psychophysiological data quantification using Principal Components Analysis (PCA).
Conference Abstract:
ASP2017: 27th Annual Meeting for the Australasian Society for Psychophysiology.
doi: 10.3389/conf.fnhum.2017.224.00033
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Received:
10 Nov 2017;
Published Online:
25 Jan 2019.
*
Correspondence:
Prof. Robert J Barry, University of Wollongong, School of Psychology, Wollongong, NSW, 2522, Australia, rbarry@uow.edu.au