Attentional Focus and Functional Connectivity in Cycling: An EEG Case Study

This study aimed to test the efficacy of associative and dissociative attention-based strategies derived from the MAP model to improve performance in endurance activity, and to verify whether specific cortical functional networks are associated with the different types of performance foreseen in the MAP model. The findings from one cyclist support the hypothesis that dissociative strategies induce electrophysiological conditions facilitating flow performance states, which are mainly characterized by extensive functional connectivity across all brain areas in the alpha band. Associative strategies do not seem to conform to this framework, although focusing on the core components of action minimized the awareness of unpleasant afferent feedback, thus delaying detrimental increments of perception of effort, which manifest as a predominant frontal-motor coupling in the alpha band and fronto-occipital coupling in the beta band.

[1]  Carlos M. Gómez,et al.  Alpha EEG coherence in different brain states: an electrophysiological index of the arousal level in human subjects , 1999, Neuroscience Letters.

[2]  Silvia Conforto,et al.  How to assess performance in cycling: the multivariate nature of influencing factors and related indicators , 2013, Front. Physiol..

[3]  C. Babiloni,et al.  Functional coupling of parietal alpha rhythms is enhanced in athletes before visuomotor performance: a coherence electroencephalographic study , 2011, Neuroscience.

[4]  R. Casaburi,et al.  Determination of the anaerobic threshold by gas exchange: biochemical considerations, methodology and physiological effects. , 1994, Zeitschrift fur Kardiologie.

[5]  V. Brümmer,et al.  Changes in brain cortical activity measured by EEG are related to individual exercise preferences , 2009, Physiology & Behavior.

[6]  R. Pascual-Marqui,et al.  Fatigue‐induced increase in intracortical communication between mid/anterior insular and motor cortex during cycling exercise , 2011, The European journal of neuroscience.

[7]  Marika Berchicci,et al.  The neurophysiology of central and peripheral fatigue during sub-maximal lower limb isometric contractions , 2013, Front. Hum. Neurosci..

[8]  R. K. Wallace,et al.  Patterns of EEG coherence, power, and contingent negative variation characterize the integration of transcendental and waking states , 2002, Biological Psychology.

[9]  Silvia Comani,et al.  Behavioural and Psychophysiological Correlates of Athletic Performance: A Test of the Multi-Action Plan Model , 2013, Applied psychophysiology and biofeedback.

[10]  V. Brümmer,et al.  Brain cortical activity is influenced by exercise mode and intensity. , 2011, Medicine and science in sports and exercise.

[11]  Bradley D. Hatfield,et al.  Electroencephalographic Coherence During Visuomotor Performance: A Comparison of Cortico-Cortical Communication in Experts and Novices , 2009, Journal of motor behavior.

[12]  Samuele M. Marcora Perception of effort during exercise is independent of afferent feedback from skeletal muscles, heart, and lungs. , 2009, Journal of applied physiology.