Exercise, spinogenesis and cognitive functions

Sports promote brain evolution: a resting-state fMRI study of volleyball athlete

Background

Long-term skill learning can lead to structure and function changes in the brain. Different sports can trigger neuroplasticity in distinct brain regions. Volleyball, as one of the most popular team sports, heavily relies on individual abilities such as perception and prediction for high-level athletes to excel. However, the specific brain mechanisms that contribute to the superior performance of volleyball athletes compared to non-athletes remain unclear.

Method

We conducted a study involving the recruitment of ten female volleyball athletes and ten regular female college students, forming the athlete and novice groups, respectively. Comprehensive behavioral assessments, including Functional Movement Screen and audio-visual reaction time tests, were administered to both groups. Additionally, resting-state magnetic resonance imaging (MRI) data were acquired for both groups. Subsequently, we conducted in-depth analyses, focusing on the amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) in the brain for both the athlete and novice groups.

Results

No significant differences were observed in the behavioral data between the two groups. However, the athlete group exhibited noteworthy enhancements in both the ALFF and ReHo within the visual cortex compared to the novice group. Moreover, the functional connectivity between the visual cortex and key brain regions, including the left primary sensory cortex, left supplementary motor cortex, right insula, left superior temporal gyrus, and left inferior parietal lobule, was notably stronger in the athlete group than in the novice group.

Conclusion

This study has unveiled the remarkable impact of volleyball athletes on various brain functions related to vision, movement, and cognition. It indicates that volleyball, as a team-based competitive activity, fosters the advancement of visual, cognitive, and motor skills. These findings lend additional support to the early cultivation of sports talents and the comprehensive development of adolescents. Furthermore, they offer fresh perspectives on preventing and treating movement-related disorders.

Trial registration

Registration number: ChiCTR2400079602. Date of Registration: January 8, 2024.

Forecasting and analysis of the effect of lifestyle on cognitive dysfunction induced by occupational aluminum exposure based on Bayesian networks

OBJECTIVES

To evaluate the risk of cognitive impairment in workers with plasma aluminum concentrations and lifestyles using a Bayesian network (BN).

METHODS

In 2019, 476 male workers in the Shanxi Aluminum factory were investigated. We measured plasma aluminum concentrations in workers by inductive coupled plasma mass spectrometry (ICPMS) and tested workers' cognitive function by the MoCA scale. We collected the data of lifestyle by the occupational Workers' Health questionnaire and express the influence of lifestyle on cognition by the OR value (95 %CI) of logistic regression. A Bayesian network model was used to predict the risk of cognitive dysfunction.

RESULTS

The subjects were divided into a cognitively normal group and cognitively impaired group according to MoCA scores. There were statistically significant differences in age, education level, alcohol consumption, physical exercise, reading, aluminum length of service and blood aluminum concentration between the two groups (P < 0.05). The plasma aluminum concentration in the cognitive impairment group was 1.68 times higher than that in the cognitive normal group. Four groups were established according to the quartile of blood aluminum concentration of the subjects, namely, Group Q1 (<14.95 μg/L), Q2 group (14.95-32.96 μg/L), Q3 group (32.96-56.62 μg/L), and Q4 group (>56.62 μg/L). Binary logistic regression analysis showed that in the adjustment variable Model2, drinking, short sleep, long sleep, and mobile phone use increased the risk of cognitive impairment by 1.505(0.99,2.289), 1.269(0.702,2.295), 1.125(0.711,1.781) and 1.19(0.779,1.82), respectively, compared with their reference values. The risk of cognitive impairment from reading and exercise was 0.7(0.398,1.232) and 0.787(0.51,1.217), respectively, compared with those of no reading and no exercise. The risk of cognitive impairment of blood aluminum concentration in the Q2, Q3, and Q4 groups was 2.103(1.092,4.051), 1.866(0.955,3.644) and 3.679(1.928,7.020), respectively, compared with that in the Q1 group. Compared with age <40 , the risk of cognitive impairment of age ≥40 was 2.515(1.508,4.193) (P < 0.05). Bayesian network model results showed that if all participants had plasma aluminum concentrations higher than Q4, the prevalence of cognitive impairment was 54.5 %. The prevalence of cognitive impairment was 75.0 % if all participants had plasma aluminum levels above Q4, were older than 40, smoked, drank alcohol, used a cell phone for more than 2 h, slept for more than 8 h, did not exercise, and did not read.

CONCLUSIONS

Our findings suggest that both poor lifestyle and occupational aluminum exposure may affect cognitive function. Workers must maintain a reasonable lifestyle and reduce aluminum exposure, which can control the occurrence of cognitive impairment.