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Objective: Various guidelines emphasize the cognitive and emotional benefits of physical activity. However, it is not yet clear what kind of exercise intensity is suitable for individuals with subthreshold depression. Therefore, this study aims to examine the effects of high intensity interval training (HIIT) and moderate intensity continuous training (MICT) on the working memory and emotional state.
Methods: Forty-nine female students with subthreshold depression (mean age 16.3 ± 0.5 yrs) completed 20-min group of sit (SIT), MICT, and HIIT on separate days in a counterbalanced order. The modified n-back task was employed to evaluate working memory. Emotional state was assessed using the Feeling Scale (FS) and Felt Arousal Scale (FAS).
Results: Regarding working memory, for accuracy, SIT (82.41 ± 13.79%), MICT (81.79 ± 13.19%) and HIIT (82.06 ± 11.36%) have no significant difference (all > 0.05). However, for reaction time, MICT (459.86 ± 131.47 ms) is significantly faster than HIIT (491.16 ± 115.68 ms) ( = 0.046), and there is no significant difference between MICT and SIT (462.71 ± 120.64 ms) ( > 0.05). Concerning emotional state, for arousal, FAS scores significantly increased after both HIIT (2.39 ± 1.30 to 3.76 ± 1.12, < 0.001) and MICT (2.55 ± 0.88 to 3.94 ± 1.08, < 0.001) compared to pre-exercise, and the increase caused by them was significantly higher than that of SIT (HIIT: = 0.011; MICT: < 0.01). For pleasure, the increase in FS score after MICT (-0.27 ± 1.13 to 1.06 ± 1.79) was significantly higher than that of SIT (0.32 ± 1.38 to 0.58 ± 1.53) ( < 0.01).
Conclusion: Acute MICT can enhance working memory and improve the emotional state of adolescent women with subthreshold depression, while HIIT may decrease working memory and pleasure in this particular population.
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http://dx.doi.org/10.3389/fpubh.2025.1505959 | DOI Listing |
Brain Res
September 2025
Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre,
It has been recently described the Congenital Zika Syndrome (CZS). Children from pregnant women who were infected by the virus have expressed a set of symptoms, particularly involving neurological disorders such as microcephaly. Animal models have been conducted aiming to enhance the knowledge about the CZS and giving support for future studies proposing prevention and treatment for this condition.
View Article and Find Full Text PDFJ Colloid Interface Sci
September 2025
School of Electronic Information & Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China.
The integration of information memory and computing enabled by nonvolatile memristive device has been widely acknowledged as a critical solution to circumvent the von Neumann architecture limitations. Herein, the Au/NiO/CaBiTiO/FTO (CBTi/NiO) heterojunction based memristor with varying film thicknesses are demonstrated on FTO/glass substrates, and the CBTi/NiO-4 sample shows the optimal memristor characteristics with 5 × 10 stable switching cycles and 10-s resistance state retention. The electrical conduction in the low-resistance state is dominated by Ohmic behavior, while the high-resistance state exhibited characteristics consistent with the space-charge-limited conduction (SCLC) model.
View Article and Find Full Text PDFMed Teach
September 2025
NordSim, Center for Skills Training and Simulation, Aalborg University Hospital, Aalborg, Denmark.
Background: Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
International School of Microelectronics, Dongguan University of Technology, Dongguan, China.
Many traditional classification networks directly use the limb two-lead signal (MLII) ECG signals as input for training. However, this method suffers from reduced accuracy when ECG features are not obvious, especially for premature heartbeats. To solve the issue, this paper proposed a novel network, namely CDLR-Net, that combines a Deep Residual Shrinkage Network (DRSN) with a Long Short-Term Memory (LSTM).
View Article and Find Full Text PDFBiol Psychol
September 2025
Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610066, China. Electronic address:
Working memory (WM) regulates information flow through gate mechanisms, consisting of four subprocesses: gate opening, gate closing, updating, and substitution. However, their neural mechanisms remain underexplored. While emotion-cognition interactions are well studied, the effects of negative mood on these subprocesses are unclear.
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