Background: Sexual deviance is regarded as an important risk factor for sexual offending. However, little is known about the development of deviant sexual interests. The transfer of arousal between emotions, i.e., excitation transfer, could attribute sexual salience to stimuli that would otherwise not be sexual in nature. As such, excitation transfer could contribute to the very beginning of unusual or deviant sexual interests. The current protocol proposes a study to investigate to what extent excitation transfer occurs, i.e., to what extent genital and subjective sexual arousal to sexual stimuli is higher in an emotional state than in a neutral state. Following a prior pilot study, several adjustments were made to the study protocol, including a stronger emotional manipulation by using 360-degree film clips and the inclusion of a larger and more sexually diverse sample. Methods: We will recruit 50 adult male volunteers with diverse sexual interests. We will induce sexual arousal in four different emotional states (aggression/dominance, endearment, fear, disgust) and a neutral state. Sexual arousal will be measured genitally using penile plethysmography and subjectively via self-report. Using paired samples t-tests, sexual arousal in the emotional states will be compared with sexual arousal in the neutral state. Discussion: We aim to show that arousal in response to emotional stimuli that are initially nonsexual in nature, can enhance sexual arousal. These findings have potentially important implications for the development of unusual and/or deviant sexual interests and possibly for the treatment of such sexual deviant interests in people who have committed sexual offenses.
We propose a novel deception detection system based on Rapid Serial Visual Presentation (RSVP). One motivation for the new method is to present stimuli on the fringe of awareness, such that it is more difficult for deceivers to confound the deception test using countermeasures. The proposed system is able to detect identity deception (by using the first names of participants) with a 100% hit rate (at an alpha level of 0.05). To achieve this, we extended the classic Event-Related Potential (ERP) techniques (such as peak-to-peak) by applying Randomisation, a form of Monte Carlo resampling, which we used to detect deception at an individual level. In order to make the deployment of the system simple and rapid, we utilised data from three electrodes only: Fz, Cz and Pz. We then combined data from the three electrodes using Fisher's method so that each participant was assigned a single p-value, which represents the combined probability that a specific participant was being deceptive. We also present subliminal salience search as a general method to determine what participants find salient by detecting breakthrough into conscious awareness using EEG.
