Abstract of Paper to be Presented at the Forty-Sixth Annual Meeting of the Society for Psychophysiological Research
 
The SPR software repository: a collection of psychophysiological data analysis programs
 
F.H. Wilhelm(1), P. Peyk(1), M. Junghoefer(2), A. De Clercq(3), B. Verschuere(3), R. Schleicher(4), A. Delorme(5), S. Makeig(5), R. Oostenveld(6), & J.M. Schoffelen(6)
 

(1)University of Basel, (2)University of Muenster, (3)Ghent University, (4)University of Cologne, (5)University of San Diego, (6)Nijmegen Centre for Cognitive Neuroimaging

 
    Analysis of psychophysiological data increasingly necessitates advanced software and algorithms. A number of researchers have developed specialized analysis programs they are willing to share with the community. The SPR software repository attempts to collect these resources on a web page, and portray and distribute them to advance psychophysiological research. Submissions so far include: ANSLAB, for analyzing peripheral physiological channels (e.g. ECG, EDA, tonic and reflexive startle EMG, pulse plethysmography, arterial pressure, respiration pattern, capnography, accelerometry); EMEGS, for analyzing highdensity event-related EEG/MEG, correcting for eye movement and calculating, for example, ERPs, evoked frequency response, source localization, 3-D data projection, and trial-based statistics; PSPHA, for analyzing peripheral physiological channels (e.g. ECG, EDA, EMG, pulse plethysmography, respiration pattern); Simple EDA/EMG, for analyzing EDA and EMG; EEGLAB, for analyzing high-density event-related EEG/MEG, correcting for eye movement and calculating ERPs and trial-based statistics; SPM, for analyzing fMRI, PET, SPECT, EEG and MEG; and FieldTrip, a collection of command-line functions for analyzing EEG/MEG. Except for PSPHA, all programs are written in MATLAB and disclose the analysis methods implemented. For experience users, the programs offer an extendible open-source platform for developing specialized methods of analysis, sharing them with the research community, and enhancing cross-laboratory comparison of results.