Visual Signal Detection Measured by Event-Related Potentials

Although vision is the dominating sensory system in sports, many situations require multisensory integration. Faster processing of auditory information in the brain may facilitate time-critical abilities such as reaction speed however previous research was limited by generic auditory and visual stimuli that did not consider audio-visual characteristics in ecologically valid environments. This study investigated the reaction speed in response to sport-specific monosensory (visual and auditory) and multisensory (audio-visual) stimulation. Neurophysiological analyses identified the neural processes contributing to differences in reaction speed. Nineteen elite badminton players participated in this study. In a first recording phase, the sound profile and shuttle speed of smash and drop strokes were identified on a badminton court using high-speed video cameras and binaural recordings. The speed and sound characteristics were transferred into auditory and visual stimuli and presented in a lab-based experiment, where participants reacted in response to sport-specific monosensory or multisensory stimulation. Auditory signal presentation was delayed by 26 ms to account for realistic audio-visual signal interaction on the court. N1 and N2 event-related potentials as indicators of auditory and visual information perception/processing, respectively were identified using a 64-channel EEG. Despite the 26 ms delay, auditory reactions were significantly faster than visual reactions (236.6 ms vs. 287.7 ms, p < 0.001) but still slower when compared to multisensory stimulation (224.4 ms, p = 0.002). Across conditions response times to smashes were faster when compared to drops (233.2 ms, 265.9 ms, p < 0.001). Faster reactions were paralleled by a lower latency and higher amplitude of the auditory N1 and visual N2 potentials. The results emphasize the potential of auditory information to accelerate the reaction time in sport-specific multisensory situations. This highlights auditory processes as a promising target for training interventions in racquet sports.

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Estimation of Human Signal Detection Performance from Event-Related Potentials Using Feed-Forward Neural Network Model

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_17 ◽

1997 ◽

pp. 271-281 ◽

Cited By ~ 2

Author(s):

Miloš Koska ◽

Roman Rosipal ◽

Artur König ◽

Leonard J. Trejo

Keyword(s):

Neural Network ◽

Signal Detection ◽

Network Model ◽

Neural Network Model ◽

Event Related Potentials ◽

Detection Performance ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Related Potentials ◽

Human Signal

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A Neurophysiological Measure of Reward Sensitivity and its Limited Association with Anhedonia in Adolescents and Young Adults

10.1101/467217 ◽

2018 ◽

Author(s):

David W. Frank ◽

Elise M. Stevens ◽

Francesco Versace

Keyword(s):

Young Adults ◽

Signal Detection ◽

Response Bias ◽

Event Related Potentials ◽

Detection Task ◽

Reward Sensitivity ◽

Adolescents And Young Adults ◽

Related Potentials ◽

Hedonic Capacity ◽

Signal Detection Task

AbstractAnhedonia (i.e., the attenuated ability to enjoy pleasurable stimuli) characterizes multiple mood disorders, but its neurophysiological underpinnings are not yet clear. Here, we measured event-related potentials in 116 adolescents and young adults engaged in a signal detection task designed to objectively characterize the anhedonic phenotype. In line with previous studies, the behavioral results showed that approximately 35% of the sample did not develop a response bias towards the more frequently rewarded stimuli (a sign of low hedonic capacity). The event-related potentials (ERPs) evoked by the reward feedback stimuli delivered during the task showed that individuals that did not develop a response bias had significantly less cortical positivity at Fz from 224 ms to 316 ms post feedback onset compared to those that developed a response bias during the task. However, further analyses showed that this between groups difference was relatively weak, as it disappeared when we controlled for response-locked ERPs. Furthermore, the response bias observed in the signal detection task was not strongly associated with self-reported ratings of hedonic capacity. We conclude that even though the signal detection task may be used as a reward sensitivity measure in neurotypical adolescents and young adults, this task may only be able to detect clinically significant levels of anhedonia in this particular population.

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