Abstract

Basketball players' visual and neurological characteristics may affect their sports performance. In this paper, 100 basketball players and 100 nonathletes received motion vision and a neurological efficiency tests. The experimental stimulus was to determine whether a ball was in the picture. The relevant visual data were obtained by an eye tracker. The brain area activity data were obtained by functional magnetic resonance imaging (fMRI). The data were processed and analyzed. The results showed that the reaction time of group A (basketball players) was 526.78 ± 75.36 ms, and the correct rate was 94.12 ± 3.45%, both of which were better than group B (nonathletes). The fixation duration and fixation frequency of group A were 204.77 ± 40.23 ms and 1.67 ± 0.41 times, suggesting good fixation stability, and group A activated fewer brain areas than group B. The experimental results verify that basketball players have better target capture ability and higher neural efficiency while consuming fewer neural resources.

References

1.
Cevada
,
T.
,
Moreira
,
A.
,
Vilete
,
L.
,
Oertel-Knöchel
,
V.
, and
Deslandes
,
A. C.
,
2020
, “
Resilience, Psychological Characteristics, and Resting-State Brain Cortical Activity in Athletes and Non-Athletes
,”
Open Sports Sci. J.
,
13
(
1
), pp.
86
96
.10.2174/1875399X02013010086
2.
Wei
,
G.
,
Si
,
R.
,
Li
,
Y.
,
Yao
,
Y.
,
Chen
,
L.
,
Zhang
,
S.
,
Huang
,
T.
, et al.,
2020
, “
No Pain No Gain: Evidence From a Parcel-Wise Brain Morphometry Study on the Volitional Quality of Elite Athletes
,”
Brain Sci.
,
10
(
7
), p.
459
.10.3390/brainsci10070459
3.
Park
,
I.
,
Kim
,
Y.
, and
Kim
,
S. K.
,
2020
, “
Athlete-Specific Neural Strategies Under Pressure: A fNIRS Pilot Study
,”
Int. J. Environ. Res. Public Health
,
17
(
22
), p.
8464
.10.3390/ijerph17228464
4.
Krizman
,
J.
,
Lindley
,
T.
,
Bonacina
,
S.
,
Colegrove
,
D.
,
White-Schwoch
,
T.
, and
Kraus
,
N.
,
2020
, “
Play Sports for a Quieter Brain: Evidence From Division I Collegiate Athletes
,”
Sports Health
,
12
(
2
), pp.
154
158
.10.1177/1941738119892275
5.
Gong
,
S.
,
Liu
,
J.
,
Lu
,
L.
,
Wu
,
G.
,
Jiang
,
C.
, and
Fu
,
Y.
,
2019
, “
Characteristic Differences Between the Brain Networks of High-Level Shooting Athletes and Non-Athletes Calculated Using the Phase-Locking Value Algorithm
,”
Biomed. Signal Process.
,
51
(
May
), pp.
128
137
.10.1016/j.bspc.2019.02.009
6.
Bulson
,
R. C.
,
Ciuffreda
,
K. J.
,
Hayes
,
J.
, and
Ludlam
,
D. P.
,
2015
, “
Effect of Retinal Defocus on Basketball Free Throw Shooting Performance
,”
Clin. Exp. Optom.
,
98
(
4
), pp.
330
334
.10.1111/cxo.12267
7.
Jang
,
I.
,
Chun
,
I. Y.
,
Brosch
,
J. R.
,
Bari
,
S.
,
Zou
,
Y.
,
Cummiskey
,
B. R.
,
Lee
,
T. A.
, et al.,
2019
, “
Every Hit Matters: White Matter Diffusivity Changes in High School Football Athletes Are Correlated With Repetitive Head Acceleration Event Exposure
,”
Neuroimage Clin.
,
24
, p.
101930
.10.1016/j.nicl.2019.101930
8.
Mathiak
,
K. A.
,
Alawi
,
E. M.
,
Koush
,
Y.
,
Dyck
,
M.
,
Cordes
,
J. S.
,
Gaber
,
T. J.
,
Zepf
,
F. D.
, et al.,
2015
, “
Social Reward Improves the Voluntary Control Over Localized Brain Activity in fMRI-Based Neurofeedback Training
,”
Front. Behav. Neurosci.
,
9
, p.
136
.10.3389/fnbeh.2015.00136
9.
Hammett
,
S. T.
,
Smith
,
A. T.
,
Wall
,
M. B.
, and
Larsson
,
J.
,
2013
, “
Implicit Representations of Luminance and the Temporal Structure of Moving Stimuli in Multiple Regions of Human Visual Cortex Revealed by Multivariate Pattern Classification Analysis
,”
J. Neurophysiol.
,
110
(
3
), pp.
688
699
.10.1152/jn.00359.2012
10.
Fronso
,
S. D.
,
Robazza
,
C.
,
Filho
,
E.
,
Bortoli
,
L.
,
Comani
,
S.
, and
Bertollo
,
M.
,
2016
, “
Neural Markers of Performance States in an Olympic Athlete: An EEG Case Study in Air-Pistol Shooting
,”
J. Sports Sci. Med.
,
15
(
15
), pp.
214
222
.https://www.jssm.org/jssm-15-214.xml%3EFulltext#
11.
Yu
,
Y.
,
2021
, “
Research on Athlete Skipping Surface Electromyography and Energy Consumption Based on Principal Component Analysis of Wavelet Packet
,”
J. Intell. Fuzzy Syst.
,
40
(
2
), pp.
2217
2227
.10.3233/JIFS-189220
12.
Huang
,
H.
,
Wang
,
J.
,
Seger
,
C.
,
Lu
,
M.
,
Deng
,
F.
,
Wu
,
X. Y.
,
He
,
Y.
, et al.,
2018
, “
Long-Term Intensive Gymnastic Training Induced Changes in Intra- and Inter-Network Functional Connectivity: An Independent Component Analysis
,”
Brain Struct. Funct.
,
223
(
1
), pp.
131
144
.10.1007/s00429-017-1479-y
13.
Sebastian
,
L.
,
Thomas
,
G.
, and
Kuno
,
H.
,
2016
, “
The Athlete's Brain: Cross-Sectional Evidence for Neural Efficiency During Cycling Exercise
,”
Neural Plast.
,
2016
, pp.
1
7
.10.1155/2016/4583674
14.
Yang
,
C.
,
Luo
,
N.
,
Liang
,
M.
,
Zhou
,
S.
,
Yu
,
Q.
,
Zhang
,
J.
,
Zhang
,
M.
, et al.,
2020
, “
Altered Brain Functional Connectivity Density in Fast-Ball Sports Athletes With Early Stage of Motor Training
,”
Front. Psychol.
,
11
, p.
530122
.10.3389/fpsyg.2020.530122
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