A Study On Situation Information Processing Mode And Cognitive Mechanism Of Basketball Athletes

Decision-making in sports context has always been the focus in the field of sportscongition. For those open-ended, cometiing against class collective sports,decision-makiing level directly affects the players’ athletic ability and the technical andtactical level of pslay. Through the game of basketball scenne search task, this studyattempts to explore information processing characteristics and the underlying neuralmechanisms of basketball players.In this study, I randomly selected20second grade sportsman from school basketballteam, aveage aged20years old, and22students majoring in sport training, with an averageage of21years old. A modified oddball paradigm is used: A cross appears in the middle ofthe screen, then according to flashing basketball game scene pictures, participants arerequired to judge accurately and quickly whether there is a basketball in the picture andpress the corresponding buttoon. Pictures are divided into the160orginal pictures (stanardstimulus) and40modified pictures (deviant stimulus),randomly presented. And thepictures are presented for150ms and then600ms. Experimental program is edited byE-prime2.0. The response time and accuracy are recorded as behavioral indicators. Weanalyse eye-movement data, collected through iView X software, which involve fixationnumber, average fixation duration, AOI fixation and AOI fixation duration. EEG is acquredby NeuroScan Nuamps40system. And related ERPs components’peak and peak latencyare analysed by Curry for offline.Results of behavioral data show that experts to novices demonstrate some advantageson response time and accuracy in the stanard stimulus, but not significantly. The accuracyof expert group on PS is significantly lower than the novice group, which indicates thatlow level basketball player depending on the specific information in informationprocessing. Eye-movement data shows that when the pictures display for600ms, of the PSpictures, the number of fixation and average fixation duration of the novice gruoupssignificantly more than expert groups, however, there is no group difference in the numberof fixation and fixation duration in AOI. That indicates high level basketball players arewith a more efficient visual search strategies and top-down processing. Event-relatedpotentials data show that in150ms presentation time, the N1occipital-induced latency onPS images of expert group significantly earlier than the novice group; for600ms, N1latency evoked in the occipital area of the expert groups significantly earlier than thenovice groups, which demonstrates that high level basketball players are with faster visualsearch and information processing capabilities.Conclusions: high level basketball players more depend on global clue than low level basketball player in information processing and decision-making tasks and they are lesssusceptible to conflicting information with the real-life situation. However, low levelbasketball athletes rely more on observation of specific information for decision-making.Therefore, high level basketball players have more rapid visual searching and informationprocessing capabilities.