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Aims: Type 2 diabetes mellitus (T2DM) alters brain functional and structural connectivity leading to cognitive dysfunction. This study examined the effect of a 12-week yoga intervention on prefrontal cortex (PFC) oxygenation and working memory in patients with T2DM.
Methods: Fifty participants were randomized into yoga and waitlist control groups. The yoga protocol specific to T2DM was followed. The pre- (day 1), mid- (6 weeks) and post-intervention (12 weeks) assessments included measurement of PFC oxygenation while performing working memory tasks (n-back) using functional near-infrared spectroscopy.
Results: Following a 12-week intervention, the yoga group showed improved performance in working memory [accuracy (geometric mean difference of 3.15%, 95% CI [2.33,3.96], p = 0.001) and reaction time (mean difference of 100.8 milliseconds,95% CI [- 166.6, - 35.1], p = 0.002] in the high task load (2-back) associated with higher oxygenation in dorsolateral PFC (β coefficient mean difference of 95.6, 95% CI [0.23,191], p = 0.049) and ventrolateral PFC (β coefficient mean difference of 53.4, 95% CI [7.8,98.9], p = 0.018) regions. Higher oxygenation in dorsolateral PFC during 2-back task was positively correlated with accuracy (r(23) = 0.65, p < 0.001) and negatively correlated with reaction time (r(23) = - 0.47,p = 0.017).
Conclusion: Integrated yoga practice may improve working memory performance associated with higher PFC oxygenation in patients with T2DM. As 12 weeks of yoga intervention improved working memory performance, the regular practice of yoga may have the potential to prevent decline of cognitive functions in clinical conditions.
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http://dx.doi.org/10.1007/s00592-023-02085-0 | DOI Listing |
J Safety Res
September 2025
Myers-Lawson School of Construction, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Electronic address:
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View Article and Find Full Text PDFNeuroimage
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Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; Advanced Magnetic Imaging Centre, Aalto University School of Science, Espoo, Finland. Electronic address:
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View Article and Find Full Text PDFNeurosci Biobehav Rev
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Department of Psychology, Ludwig-Maximilians-University Munich. Munich, Germany.
The neuroscience of creativity has proposed that shared and domain-specific brain mechanisms underlie creative thinking. However, greater nuance is needed in characterizing these mechanisms, and limited neuroimaging analyses, especially regarding the relationship between the Alternative Uses Task (AUT) and other linguistic tasks, have so far prevented a comprehensive understanding of the neural basis of creativity. This paper offers to fill these gaps with a closer examination of the contributions of the specific domains and the deactivations associated with creativity.
View Article and Find Full Text PDFBehav Brain Res
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Faculty of Human Sciences, Waseda University, 2‑579‑15 Mikajima, Tokorozawa, Saitama, Japan. Electronic address:
Insight problem solving involves overcoming an impasse when a solution seems unreachable, often experienced as an 'Aha!' moment. In such solving, shifting from an incorrect representation imposed by constraints to a correct representation through constraint relaxation is critical. Prior research compared brain activity when constraint relaxation and representation change occurred versus when they did not occur, but neural activity before and after such changes within trials has remained underexplored.
View Article and Find Full Text PDFBehav Brain Res
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Department of Cognitive Sciences, Faculty of Psychology and Education, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
Working memory (WM) is a core cognitive mechanism necessary for adaptive behavior. In the last few decades, scientists have studied WM using rodent models through traditional and time-consuming approaches, such as the Radial Arm Maze and the T-Maze. While these traditional tools have presented fundamental understanding, their dependence on manual operations restrains experimental precision and scalability.
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