Koester D, Schack T, Güldenpenning I. Motor expertise facilitates the cognitive evaluation of body postures: An ERP study. In: Barkowsky T, Llansola ZF, Schultheis H, van de Ven J, eds. Proceedings of the 13th Biannual Conference of the German Cognitive Science Society. Bremen: Universität Bremen;  2016: 59-62

Barkowsky, T.

Güldenpenning, Iris

Koester, Dirk 

Llansola, Z. F.

Schack, Thomas

Schultheis, H.

van de Ven, J.

Publications at Bielefeld University

KogWis 2016SPACE FOR COGNITION13th Biannual Conference of theGerman Cognitive Science Societykogwis2016.spatial-cognition.deProceedingsThomas BarkowskyZoe Falomir LlansolaHolger SchultheisJasper van de Ven (Eds.)Motor expertise and body posture evaluation 1 Motor expertise facilitates the cognitive evaluation of body postures: An ERP study Dirk Koester1,2, Thomas Schack1,2,3 & Iris Güldenpenning4 1Neurocognition and Action Research Group - Biomechanics; 2CITEC;  3CoR-lab, Bielefeld University; 4Sport psychology, University of Paderborn Human complex actions such as gross, whole body movements in sports (e.g., fosbury flop in high jump) are organised according to a (biomechanically) functional structure. The whole movement can be subdivided into several functionally bound sub movements. Memory repre-sentations for such movements have been shown to reflect these sub division (so-called basic action concepts; BACs) and have been related to a cognitive (“mental”) level of representa-tion (Schack, 2004; Schack et al., 2016); see Table 1. Table 1: The levels of the cognitive action architecture approach (Schack et al., 2016). Code Level Main function Content IV Mental control Regulation Symbols, Strategies III Mental representation Representation Basic action concepts II Sensorimotor representation Representation Perceptual representations I Sensorimotor control Regulation Motor primitives, Basic reflexes Obviously, temporal information is critical for successful and precise movement exe-cution and should, thus, be contained within movement memory representation as it has been shown specifically for high jump movements (Güldenpenning et al., 2013). Also, the activa-tion of temporal order information has been suggested to be an automatic process in athletes in an evaluation task regarding body postures of high jump movements (Güldenpenning et al., 2011). As movement representations (BACs) are stored at the level of mental representa-tions, temporal order information should affect the cognitive evaluation of body postures. We recorded the electroencephalogram (EEG) hypothesising that temporal order in-formation affects the level of mental representation. The P300 component of the event-related potentials (ERPs) reflect cognitive evaluations of stimuli (context updating; Donchin and Coles, 1988; Polich, 2007). Thus, we expected a P300 modulation in athletes but not in nov-ices if participants evaluate body postures of the fosbury flop. A subliminal priming paradigm was used in which various body postures of the approach or the flight phases were shown as prime and target reflecting the natural (prospective) or the reversed (retrospective) order of the movement phases. Both groups are hypothesised to differ qualitatively in processing be-cause only athletes have an according motor programme at their disposal. Method KogWis 2016 - page 59Motor expertise and body posture evaluation 2 A total of 33 right-handed sport students participated voluntarily; 17 novices (25,1 yrs.; 11 female) who had no practical experience with the high jump movement (or at most minimal experiences from school lessons) and 16 athletes with a focus on tack-and-field and specific experience in high jump (22,3 yrs.; 8 female). The athletes had acquired a sufficient motor representation for the high-jump movement as evidenced by practical performance. Partici-pants gave written informed consent, and the study adhered to the ethical standards of the latest revision of the Declaration of Helsinki (Fortaleza; WMA, 2013). Eight photographs from a high-jump movement recording (television broadcasting from the final contest of the Olympic Games 2008 in Peking) were used as stimuli (four ap-proach and four flight phase images). Pre- and post-masks consisted of 25 × 25 randomised cut-outs (10 × 10 pixels) of the stimulus set, generated automatically by visually scrambling versions of the stimuli. Also, distraction from the irrelevant background was reduced by blur-ring. Stimuli were presented centrally, subtended a visual angle of 6.5° with a size of 9.0 × 9.0 cm (250 × 250 pixels). Stimulus presentation was controlled by Presentation® (version 14.1; http://www.neurobs.com). For the full stimulus set see Güldenpenning et al. (2011). A 2 × 2 factorial design with the factors congruency of movement phases (same phase vs. different phases) and temporal order (prospective vs. retrospective) was employed in a subliminal priming paradigm. Participants were instructed to classify the target pictures as approach or flight image as fast and as accurately as possible via external push button-responses. The response button assignment was counterbalanced across subjects.  Figure 1: The trial procedure with prime and target examples. The inter trial interval was 1500 ms. After twelve practice trials, participants performed 240 trials (24 prime target-pairs repeated ten times randomly) with a short break. For the trial timing see Figure 1. (Identical prime target pictures were excluded to avoid repetition priming.) Participants then performed a detection task on the primes (24 trials) to check the subliminal prime presentation. The EEG was recorded (64 Ag/AgCl electrodes) based on the 10-10 system, low-pass filtered (DC-138 Hz) and sampled with 512 Hz. Eye movements were controlled for by re-cording the electrooculogram; impedances were kept below 5 kΩ. The EEG was band-pass filtered (0.1 - 30 Hz) and re-referenced to linked mastoids. Ocular artefacts were corrected KogWis 2016 - page 60Motor expertise and body posture evaluation 3 using the Gratton algorithm. Automatic rejection was done using a moving window approach (200 ms extension; threshold ± 50 µV) and visually double-checked. The ERPs were time-locked to target onset with a 200 ms baseline before target onset. Average ERP amplitudes were calculated for each region-of-interest (ROI) and condition for the P300 time window (300-600 ms). The midline ROIs were frontal: FZ, FCZ; central: CZ, CPZ; posterior: PZ, POZ. Geenhouse-Geisser correction (ε) was applied were appropriate; corrected p-values, original df and effect size (Ω2) are reported. Results Representative ERPs for both groups are shown in Figure 2. The ANOVA with the factors temporal order, movement phase and ROI (anterior vs. posterior, AP) for novices yielded no significant amplitude differences (all Fs < 2.27; ns). The same ANOVA for the athletes yielded a main effect of temporal order (F1,15=7.38; p<.05; Ω2= 0.0383) which was qualified by an interaction of temporal order and AP (F2,30=7.77; p<.01; ε=0.689 ; Ω2= 0.0428). Separate t-tests for temporal order for frontal and central electrodes yielded no sig-nificant differences. Temporal order led to an increased P300 amplitude for prospective prime target pairs relative to retrospective picture pairs at posterior midline electrodes (t15= 3.75; p<.01; Ω2=0.1469). (Including group in the overall ANOVA as a between subject fac-tor, led to a main effect of group (F1,31=11.83; p<.01; Ω2=0.0972) and an interaction of group and AP (F1,62=4.35; p<.05; ε=0.830; Ω2=0.00114) supporting qualitatively different process-ing.) Athletes’ effect size for temporal order (dꞌ) differed from zero (0.353; posterior ROI; t15 = 3.75; p < .01; Ω2=0.4011) but novices’ did not (0.202; t16 < 1.42; ns). The peak latency did not differ among conditions (mean athletes: 442 ms; novices: 435 ms; all Fs < 1; ns). The detection performance for primes was at chance level for novices (approach picture: 49.2 % correct; flight: 47.4 %) and athletes (approach: 48.4 %; flight 53.3 %). Discussion Supporting our hypothesis, temporal order elicited an increased P300 only in the group of athletes. The P300 amplitude was increased for prospective prime target-pairs at posterior electrodes in line with the natural order of the high jump movement (with a bilateral scalp distribution; not shown). The P300 effect suggests that the cognitive evaluation (classifica-tion) process was easier for prospective than for retrospective prime target picture pairings, possibly indicating higher response uncertainty for retrospective pairs (Horst et al., 1980). Thus, the P300 effect supports the theoretical ascription of movement representations to the level of mental representation (Schack 2004) in terms of neurophysiological processing.  KogWis 2016 - page 61Motor expertise and body posture evaluation 4 Furthermore, the P300 effect was obtained with subliminal prime presentation. Hence, it is suggested that temporal order information has been processed automatically in athletes and may, therefore, be an integral part of the whole movement representation. Further research is needed to fully understand the (neurophysiological) functional relation between the mental and the action domains.  Figure 2: Grand average ERPs for novices (left panel) and athletes (right panel). Target onset at zero ms (verti-cal, green line; negativity up). Only athletes show an increased P300 amplitude for prospective (Pro) vs. retro-spective conditions (Retro; 300-600 ms). Note, 1 Phase: same-, 2 Phases: different-movement phases. References Donchin, E., & Coles, M. G. (1988). Is the P300 component a manifestation of context updat-ing. Behavioral and Brain Sciences, 11, 357-427. Güldenpenning, I., Koester, D., Kunde, W., Weigelt, M., & Schack, T. (2011). Motor exper-tise modulates the unconscious processing of human body postures. Experimental Brain Research, 213, 383-391. Güldenpenning, I., Kunde, W., Weigelt, M., & Schack, T. (2012). Priming of future states in complex motor skills. Experimental psychology, 59, 286-294. Horst, R., Johnson, R., & Donchin, E. (1980). Event-related brain potentials and subjective probability in a learning task. Memory & Cogntion, 8, 476-488. Polich, J. (2007). Updating P300: an integrative theory of P3a and P3b. Clinical Neuro-physiology, 118, 2128-2148. Schack, T. (2004). The cognitive architecture of complex movement. International Journal of Sport and Exercise Psychology; Special Issue Part II: The Construction of Action - New Perspectives in Movement Science, 2, 403-438. Schack, T., Schütz, C., Krause, A. F., & Seegelke, C. (2016). Representation and anticipation in motor action. In M. Nadin (ed.), Anticipation Across Disciplines, Vol. 29 of Cogni-tive Systems Monographs (pp. 203-215). Springer. KogWis 2016 - page 62

Motor expertise facilitates the cognitive evaluation of body postures: An ERP study

https://pub.uni-bielefeld.de/download/2908923/2908926

Motor expertise facilitates the cognitive evaluation of body postures: An ERP study

Abstract

Similar works

Full text

Available Versions

Publications at Bielefeld University