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Automatic action tendencies occur at behavioral and neurophysiological levels during task performance with the dominant right hand, with shorter reaction times (RTs) and higher excitability of the contralateral primary motor cortex (M1) during automatic vs. regulated behavior. However, effects associated with the non-dominant left-hand in approaching-avoiding behavior remain unclear. Here, we used transcranial magnetic stimulation during the performance by 18 participants of an approaching-avoiding task using the non-dominant left hand. Single-pulse transcranial magnetic stimulation was applied over left or right M1 at 150 and 300 ms after the onset of an emotional stimulus. RTs and motor-evoked potentials (MEPs) were recorded. Significant automatic action tendencies were observed at the behavioral level. Higher MEP amplitudes were detected 150 ms after stimulus onset from the right hand (non-task hand, corresponding to left M1) during regulated behavior compared with during automatic behavior. However, no significant modulation was found for MEP amplitudes from the left hand (task hand, corresponding to right M1). These findings suggested that left M1 may play a principal role in the early phase of mediating left-handed movement toward an emotional stimulus.

Motor symptom in patients with Parkinson's disease (PD) are related to reduced motor inhibitory ability (proactive and reactive inhibition). Although exercise has been shown to improve this ability, its effects on different levels of motor inhibition have not been determined.Sixty patients with PD aged 55-75 years were allocated randomly to 24-week exercise interventions [Compared to healthy controls, patients with PD showed motor inhibition deficits in reactive inhibition, but not in proactive inhibition. Post-intervention, the WQX group showed significant improvement in reactive inhibition compared to the SE group. In both the WQX and SE groups, movement speed was improved post-intervention, accompanied by reduction in negative emotions, stable improvement of sleep quality, and high self-reported satisfaction levels.This study demonstrated that[http://www.chictr.org.cn], identifier [ChiCTR2000038517].

With the rise of artificial intelligence and big data technologies, it is increasingly significant to apply these emerging technologies to scientific decision-making in water conservancy project construction management in the face of many problems in the process of water conservancy project construction. Different from using traditional assessment methods for risk classification of water conservancy construction hazards, this paper integrates a priori attention and constructs a transformer risk prediction model based on a sliding window, which deeply explores the data value of water conservancy construction hazards information, further predicts the risk level of water conservancy construction hazards and realizes efficient and intelligent management of water conservancy project construction hazard identification management.

Objective: We performed a systematic review and meta-analysis to assess the effect of cognitive motor intervention (CMI) on gait and balance in Parkinson’s disease. Data sources: PubMed, Embase, Cochrane Library, CINAHL, Web of Science, PEDro, and China Biology Medicine disc. Methods: We included randomized controlled trials (RCTs) and non RCTs. Two reviewers independently evaluated articles for eligibility and quality and serially abstracted data. A standardized mean difference ± standard error and 95% confidence interval (CI) was calculated for each study using Hedge’s g to quantify the treatment effect. Results: Nine trials with 181 subjects, four randomized controlled trials, and five single group intervention studies were included. The pooling revealed that cognitive motor intervention can improve gait speed (Hedge’s g = 0.643 ± 0.191; 95% CI: 0.269 to 1.017, P = 0.001), stride time (Hedge’s g = -0.536 ± 0.167; 95% CI: -0.862 to -0.209, P = 0.001), Berg Balance Scale (Hedge’s g = 0.783 ± 0.289; 95% CI: 0.218 to 1.349, P = 0.007), Unipedal Stance Test (Hedge’s g = 0.440 ± 0.189; 95% CI: 0.07 to 0.81, P =0.02). Conclusions: The systematic review demonstrates that cognitive motor intervention is effective for gait and balance in Parkinson’s disease. However, the paper is limited by the quality of the included trials.

We conducted a systematic review to determine the effect of cognitive motor interference (CMI) for the prevention of falls in older adults.We searched studies through Medline, Embase, the Cochrane Library, Web of Science, CINAHL, PEDro and the China Biology Medicine disc. Only randomised controlled trials examining the effects of CMI for older people were included. The primary outcome measure was falls; the secondary outcome measures included gait, balance function and reaction time.A total of 30 studies of 1,206 participants met the inclusion criteria, and 27 studies of 1,165 participants were used as data sources for the meta-analyses. The pooling revealed that CMI was superior to control group for fall rate [standard mean difference (SMD) (95% CI)=-3.03 (-4.33, -1.73), P0.0001], gait speed [SMD (95% CI)=0.36 (0.07, 0.66), P=0.01], step length [SMD (95% CI)=0.48 (0.16, 0.80), P=0.003], cadence [SMD (95% CI)=0.19 (0.01, 0.36), P=0.03], timed up and go test [SMD (95% CI)=-0.22 (-0.38, -0.06), P=0.007], centre of pressure displacement [SMD (95% CI)=-0.32 (-1.06, 0.43), P=0.04] and reaction time [SMD (95% CI)=-0.47 (-0.86, -0.08), P=0.02].The systematic review demonstrates that CMI is effective for preventing falls in older adults in the short term. However, there is, as yet, little evidence to support claims regarding long-term benefits. Hence, future studies should investigate the long-term effectiveness of CMI in terms of fall prevention in older adults.

Background Traditional Chinese exercise ( TCE ) has widespread use for the prevention and treatment of cardiovascular disease; however, there appears to be no consensus about the benefits of TCE for patients with cardiovascular disease. The objective of this systematic review was to determine the effects of TCE for patients with cardiovascular disease. Methods and Results Relevant studies were searched by PubMed, Embase, Web of Science, the Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature, and the China National Knowledge Infrastructure. We covered only published articles with randomized controlled trials. The outcome measures included physiological outcomes, biochemical outcomes, physical function, quality of life, and depression. A total of 35 articles with 2249 cardiovascular disease patients satisfied the inclusion criteria. The pooling revealed that TCE could decrease systolic blood pressure by 9.12 mm Hg (95% CI −16.38 to −1.86, P =0.01) and diastolic blood pressure by 5.12 mm Hg (95% CI −7.71 to −2.52, P TCE also found benefits compared with those in the control group in terms of triglyceride (standardized mean difference −0.33, 95% CI −0.56 to −0.09, P =0.006), 6‐minute walk test (mean difference 59.58 m, 95% CI −153.13 to 269.93, P =0.03), Minnesota Living With Heart Failure Questionnaire results (mean difference −17.08, 95% CI −23.74 to −10.41, P P =0.001), and Profile of Mood States depression scale (mean difference −3.02, 95% CI −3.50 to −2.53, P Conclusions This study demonstrated that TCE can effectively improve physiological outcomes, biochemical outcomes, physical function, quality of life, and depression among patients with cardiovascular disease. More high‐quality randomized controlled trials on this topic are warranted.

Traditional Chinese exercise (TCE) has many uses in the prevention and treatment of chronic diseases. However, there is no consensus regarding the benefit of TCE for chronic diseases. Our objective is to examine the effect of TCE on the quality of life and depression for chronic diseases by performing a meta-analysis of randomized controlled trials (RCTs). We only cover published RCTs. The outcome measures included quality of life and depression. Sixty articles with a total of 4311 patients were included. The pooling revealed that TCE could improve the SF-36 physical function subscale in the short term [SMD (95% CI) = 0.35 (0.13, 0.56), P = 0.002] and mid-term [SMD (95% CI) = 0.49 (0.12, 0.85), P = 0.009], GHQ [SMD (95% CI) = −0.68 (−1.26, −0.09), P = 0.02], the Center for Epidemiologic Studies depression scale in the short term [SMD (95% CI) = −0.86 (−1.42, −0.31), P = 0.002] and mid-term [SMD (95% CI) = −0.41 (−0.64, −0.18), P