Skip to main content
Log in

Dancers and fastball sports athletes have different spatial visual attention styles

  • Research Article
  • Published:
Cognitive Neurodynamics Aims and scope Submit manuscript

Abstract

Physical exercise and the training effects of repeated practice of skills over an extended period of time may have additive effects on brain networks and functions. Various motor skills and attentional styles can be developed by athletes engaged in different sports. In this study, the effects of fast ball sports and dance training on attention were investigated by event related potentials (ERP). ERP were recorded in auditory and visual tasks in professional dancer, professional fast ball sports athlete (FBSA) and healthy control volunteer groups consisting of twelve subjects each. In the auditory task both dancer and FBSA groups have faster N200 (N2) and P300 (P3) latencies than the controls. In the visual task FBSA have faster latencies of P3 than the dancers and controls. They also have higher P100 (P1) amplitudes to non-target stimuli than the dancers and controls. On the other hand, dancers have faster latencies of P1 and higher N100 (N1) amplitude to non-target stimuli and they also have higher P3 amplitudes than the FBSA and controls. Overall exercise has positive effects on cognitive processing speed as reflected on the faster auditory N2 and P3 latencies. However, FBSA and dancers differed on attentional styles in the visual task. Dancers displayed predominantly endogenous/top down features reflected by increased N1 and P3 amplitudes, decreased P1 amplitude and shorter P1 latency. On the other hand, FBSA showed predominantly exogenous/bottom up processes revealed by increased P1 amplitude. The controls were in between the two groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Basar E (2013) Brain oscillations and neuropsychiatry. Dialogues Clin Neurosci 15:291–300

    PubMed  PubMed Central  Google Scholar 

  • Bashore TR (1989) Age, physical fitness, and mental processing speed. Ann Rev Gerontol Geriatr 9:120–144

    CAS  Google Scholar 

  • Belardinelli R, Lacalaprice F, Ventrella C, Volpe L, Faccenda E (2008) Waltz dancing in patients with chronic heart failure new form of exercise training. Circ Heart Fail 1:107–114

    Article  PubMed  Google Scholar 

  • Bianco V, Di Russo F, Perri RL, Berchicci M (2017) Different proactive and reactive action control in fencers’ and boxers’ brain. Neuroscience 343:260–268

    Article  CAS  PubMed  Google Scholar 

  • Bläsing B, Tenenbaum G, Schack T (2009) The cognitive structure of movements in classical dance. Psychol Sport Exerc 10:350–360

    Article  Google Scholar 

  • Brown WS, Marsh JT, LaRue A (1982) Event-related potentials in psychiatry: differentiating depression and dementia in the elderly. Bull Los Angel Neurol Soc 47:91–107

    CAS  Google Scholar 

  • Brümmer V, Schneider S, Abel T, Vogt T, Strüder HK (2011) Brain cortical activity is influenced by exercise mode and intensity. Med Sci Sports Exerc 43(10):1863–1872

    Article  PubMed  Google Scholar 

  • Bundesen C (1990) A theory of visual attention. Psychol Rev 97(4):523–547

    Article  CAS  PubMed  Google Scholar 

  • Busse L, Katzner S, Tillmann C, Treue S (2008) Effects of attention on perceptual direction tuning curves in the human visual system. J Vis 8(9):1–13

    Article  PubMed  Google Scholar 

  • Carrasco M (2011) Visual attention: the past 25 years. Vis Res 51(13):1484–1525

    Article  PubMed  PubMed Central  Google Scholar 

  • Chica AB, Bartolomeo P, Lupiánez J (2013) Two cognitive and neural systems for endogenous and exogenous spatial attention. Behav Brain Res 237:107–123

    Article  PubMed  Google Scholar 

  • Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus driven attention in the brain. Nat Rev Neurosci 3:201–215

    Article  CAS  PubMed  Google Scholar 

  • Corbetta M, Patel G, Shulman GL (2008) The reorienting system of the human brain: from environment to theory of mind. Neuron 58(3):306–324

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Coull JT, Nobre AC (1998) Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI. J Neurosci 18(18):7426–7435

    CAS  PubMed  Google Scholar 

  • Desimone R, Duncan J (1995) Neural mechanisms of selective visual attention. Ann Rev Neurosci 18:193–222

    Article  CAS  PubMed  Google Scholar 

  • Dustman RE, Emmerson RY, Ruhling RO, Shearer DE, Steinhaus LA, Johnson SC, Bonekat HW, Shigeoka JW (1990) Age and fitness effects on EEG, ERPs, visual sensitivity, and cognition. Neurobiol Aging 11:193–200

    Article  CAS  PubMed  Google Scholar 

  • Emmerson RY, Dustman RE, Shearer DE, Turner C (1989) P3 latency and symbol digit performance correlations in aging. Exp Aging Res 15:15l–159

    Article  Google Scholar 

  • Ermutlu N, Yucesir İ, Eskikurt G, Temel T, İşoğlu-Alkaç U (2015) Brain electrical activities of dancers and fast ball sports athletes are different. Cogn Neurodyn 9(2):257–263

    Article  PubMed  Google Scholar 

  • Fontani G, Maffei D, Cameli S, Polidori F (1999) Reactivity and event-related potentials during attentional tests in athletes. Eur J Appl Physiol 80:308–317

    Article  CAS  Google Scholar 

  • Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME (2006) Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci USA 103:1046–1051

    Article  Google Scholar 

  • Hein E, Rolke B, Ulrich R (2006) Visual attention and temporal discrimination: differential effects of automatic and voluntary cueing. Vis Cogn 13(1):29–50

    Article  Google Scholar 

  • Hillman CH, Erickson K, Kramer AF (2008) Be smart, exercise your heart: exercise effects on brain and cognition. Nat Rev Neurosci 9:58–65

    Article  CAS  PubMed  Google Scholar 

  • Iwadate M, Mori A, Ashizuka T, Takayose M, Ozawa T (2005) Long-term physical exercise and somatosensory event-related potentials. Exp Brain Res 160:528–532

    Article  PubMed  Google Scholar 

  • Kramer AF, Erickson KI (2007) Effects of physical activity on cognition, well-being, and brain: human interventions. Alzheimer Dement 3:45–50

    Article  Google Scholar 

  • Kutas M, McCarthy G, Donchin E (1977) Augmenting mental chronometry: the P300 as a measure of stimulus evaluation time. Science 197:792–795

    Article  CAS  PubMed  Google Scholar 

  • Lavoie ME, Dupuis F, Johnston KM, Leclerc S, Lassonde M (2004) Visual P300 effects beyond symptoms in concussed college athletes. J Clin Exp Neuropsychol 26(1):55–73

    Article  PubMed  Google Scholar 

  • Linden DEJ, Prvulovic D, Formisano E, Vollinger M, Zanella FE, Goebel R, Dierks T (1999) The functional neuroanatomy of target detection: an fRMI study of visual and auditory oddball tasks. CerebralCortex 9:815–823

    CAS  Google Scholar 

  • Ling S, Carrasco M (2006) Sustained and transient covert attention enhance the signal via different contrast response functions. Vis Res 46(8–9):1210–1220

    Article  PubMed  Google Scholar 

  • Liu T, Stevens ST, Carrasco M (2007) Comparing the time course and efficacy of spatial and feature-based attention. Vis Res 47(1):108–113

    Article  PubMed  Google Scholar 

  • Marquez CMS, Vanaudenaerde B, Troosters BT, Wenderoth N (2015) High-intensity interval training evokes larger serum BDNF levels compared with intense continuous exercise. J Appl Physiol 119:1363–1373

    Article  CAS  Google Scholar 

  • Minvielle-Moncla J, Audiffren M, Macar F, Vallet C (2008) Overproduction timing errors in expert dancers. J Mot Behav 40:291–300

    Article  PubMed  Google Scholar 

  • Nakata H, Yoshie M, Miura A, Kudo K (2010) Characteristics of the athletes’ brain: evidence from neurophysiology and neuroimaging. Brain Res Rev 62:197–211

    Article  PubMed  Google Scholar 

  • Nakayama K, Mackeben M (1989) Sustained and transient components of focal visual attention. Vis Res 29(11):1631–1647

    Article  CAS  PubMed  Google Scholar 

  • Picton TW, Hillyard SA (1988) Endogenous event-related potentials. In: Picton TW (ed) Human event-related potentials. Elsevier, New York, pp 361–426

    Google Scholar 

  • Polich J, Martin S (1992) P300, cognitive capability and personality: a correlational study of university undergraduates. Personal Individ Differ 13:533–543

    Article  Google Scholar 

  • Polich J, Ehlers CL, Otis S, Mandell A, Bloom FE (1986) P300 latency reflects the degree of cognitive decline in dementing illness. Electroencephalogr Clin Neurophysiol 63:138–144

    Article  CAS  PubMed  Google Scholar 

  • Remington RW, Johnston JC, Yantis S (1992) Involuntary attentional capture by abrupt onsets. Percept Psychophys 51(3):279–290

    Article  CAS  PubMed  Google Scholar 

  • Reynolds JH, Heeger DJ (2009) The normalization model of attention. Neuron 61:168–185

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ritter W, Vaughan HG (1969) Averaged evoked responses in vigilance and discrimination: a reassessment. Science 164:326–328

    Article  CAS  PubMed  Google Scholar 

  • Rossi B, Zani A, Taddei F, Pesce C (1992) Chronometric aspects of information processing in high level fencers as compared to non-athletes: an ERPs and RT study. J Hum Mov Stud 23:17–28

    Google Scholar 

  • Runigo CL, Benguigui N, Bardy BG (2010) Visuo-motor delay, information movement coupling, and expertise in ball sports. J Sports Sci 28:327–337

    Article  PubMed  Google Scholar 

  • Schubert M, Johannes S, Koch M (1998) Differential effects of two motor tasks on ERPs in an auditory classification task: evidence of shared cognitive resources. Neurosci Res 30:125–134

    Article  CAS  PubMed  Google Scholar 

  • Stoppel CM, Boehler CN, Strumpf H, Krebs RM, Heinze HJ, Hopf JM, Schoenfeld MA (2013) Distinct representations of attentional control during voluntary and stimulus-driven shifts across objects and locations. Cereb Cortex 23:1351–1361

    Article  PubMed  Google Scholar 

  • Taddei F, Bultrini A, Spinelli D, Di Russo F (2013) Neural correlates of attentional and executive processing in middle-age fencers. Med Sci Sports Exerc 44(6):1057–1066

    Article  Google Scholar 

  • Thompson T, Steffert T, Ros T, Leach J, Gruzelier J (2008) EEG applications for sport and performance. Methods 45:279–288

    Article  CAS  PubMed  Google Scholar 

  • Wickens C, Kramer A, Vanasse L, Donchin E (1983) The performance of concurrent tasks: a psychophysiological analysis of the reciprocity of information processing resources. Science 221:1080–1082

    Article  CAS  PubMed  Google Scholar 

  • Yantis S, Jonides J (1984) Abrupt visual onsets and selective attention: evidence from visual search. J Exp Psychol Hum Percept Perform 10:601–621

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the athletes, the dancers and their coaches for their cooperation and participation in this study. The results of the present study do not constitute endorsement by the American College of Sports Medicine.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ummuhan Isoglu-Alkac.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Isoglu-Alkac, U., Ermutlu, M.N., Eskikurt, G. et al. Dancers and fastball sports athletes have different spatial visual attention styles. Cogn Neurodyn 12, 201–209 (2018). https://doi.org/10.1007/s11571-017-9469-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11571-017-9469-6

Keywords

Navigation