This study was designed to test the theorized link between reinvestment, motor chunks, and conscious processing, to provide a thorough examination of reinvestment theory. The authors measured electroencephalographic power and connectivity alongside self-reported conscious processing and behavioral indices of chunking in a 2 (group) × 5 (block) mixed-model design. A total of 55 individuals acquired a motor sequence (blocks A1, A2, A3, and A4) by relatively explicit (errorful) or implicit (errorless) paradigms. Then they performed in a pressure condition (block T). Results confirmed that chunking characterizes both modes of acquisition. However, explicit acquisition resulted in quicker chunking, reduced conscious processing, and increased cortical efficiency (left-temporal high-alpha power). In support of reinvestment theory, self-reported conscious processing tended to increase under pressure among explicit trainees only. In contrast to reinvestment theory, this had no adverse effect on performance. The results endorse explicit acquisition as an effective mode of training and provide a new neurophysiological explanation of this phenomenon.

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Objectives: Conscious engagement in movement control can influence motor performance.In most cases, the left hemisphere of the brain plays an important role in verbal-analytical processing and reasoning, so changes in the balance of hemispheric activation may influence conscious engagement in movement. Evidence suggests that unilateral hand contractions influence hemispheric activation, but no study has investigated whether there is an associated effect of hand contractions on verbal-analytical processing and psychophysiological activity during motor performance. This study was designed to examine whether pre-performance unilateral hand contraction protocols change verbal-analytical involvement and psychophysiological activity during motor performance. Design: A repeated measures crossover design was employed. Methods: Twenty-eight participants completed three hand contraction protocols in a randomised order: left, right and no-hand contractions. Electroencephalography (EEG) measures of hemispheric asymmetry were computed during hand contractions. A golf putting task was conducted after each protocol. EEG connectivity between sites overlying the left verbal-analytical temporal region (T7) and the motor planning region (Fz) was computed for the 3-sec prior to movement initiation. Additionally, electrocardiography (ECG) and electromyography (EMG) signals were analysed 6-sec prior to movement initiation until 6-sec after. Golf putting performance was obtained by distance from the target and putter swing kinematics. Results: Contralateral hemisphere activity was revealed for the left and right-hand contraction conditions. During motor planning, the lefthand contraction protocol led to significantly lower T7-Fz connectivity, and the right-hand contraction protocol led to significantly higher T7-Fz connectivity than the other conditions. EMG, ECG and kinematic measures did not differ as a function of condition. Importantly, T7-Fz connectivity mediated the relationship between hand squeezing and motor performance (distance from the target). Conclusion: The EEG results suggest that pre-3 performance unilateral hand contractions influence the extent of verbal-analytical engagement in motor planning, which in turn influences motor performance. However, the hand contractions did not influence cardiac activity, muscle activity or kinematics.

The objectives of this paper were to directly examine the roles of central and peripheral vision in hazard perception and to test whether perceptual training can enhance hazard perception. We also examined putative cortical mechanisms underpinning any effect of perceptual training on performance. To address these objectives, we used the gaze-contingent display paradigm to selectively present information to central and peripheral parts of the visual field. In Experiment 1, we compared hazard perception abilities of experienced and inexperienced drivers while watching video clips in three different viewing conditions (full vision; clear central and blurred peripheral vision; blurred central and clear peripheral vision). Participants' visual search behaviour and cortical activity were simultaneously recorded. In Experiment 2, we determined whether training with clear central and blurred peripheral vision could improve hazard perception among non-licensed drivers. Results demonstrated that (i) information from central vision is more important than information from peripheral vision in identifying hazard situations, for screen-based hazard perception tests, (ii) clear central and blurred peripheral vision viewing helps the alignment of line-of-gaze and attention, (iii) training with clear central and blurred peripheral vision can improve screenbased hazard perception. The findings have important implications for road safety and provide a new training paradigm to improve hazard perception.

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