Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objective: To explore the influence of Kingsbrain (GETO) on the learning memory impairment of rats with cerebral ischemia.

Method: Rats with cerebral ischemia were administered GETO orally once a day for one month. The ability of spatial-learning memory of rats was evaluated by Morris Water Maze (MWM). Duxil was used as a positive control.

Result: the results of place navigation of MWM showed that at the 3rd time of swimming training, the escape latency of rats of the GETO group, Duxil group and Sham group were shorter than that of model group. The escape latency were (54.1 +/- 43.94), (55.9 +/- 43.49), (50.4 +/- 34.99) and (85.4 +/- 42.8) s, respectively; but there was no significantly difference. After the 6th time of swimming training, the escape latency of rats of the GETO group (37.8 +/- 38.69) s, the Duxil group (37.4 +/- 38.03) s and the sham group (26.9 +/- 21.63) s were significantly shorter than that of model rats (77.5 +/- 47.59) s, P < 0.05, respectively. Comparison of the swimming distance among groups were similar to the escape latency among groups. In the test of spatial probe, results of the ratio of the swimming time of platform quadrant (tP) vs the total swimming time (tT) and the ratio of the swimming distance of platform quadrant (dP) vs the total swimming distance (dT) indicated that the ratios of the GETO group (0.347 +/- 0.0662, 0.344 +/-0.055 1), the Duxil group (0.345 +/- 0.0984, 0.34 +/- 0.0934) and the sham group (0.35 +/- 0.0662, 0.349 +/- 0.0589) were significantly higher than those of the Model group (0.261 +/- 0.0689, 0.274 +/- 0.0544), P < 0.05, respectively.

Conclusion: GETO can significantly improve the spatial learning and memory ability of rats with cerebral ischemia, which provides the pharmacodynamics evidence for its clinical application of improveing the learning and memory ability in poststroke patients.

Download full-text PDF

Source

Publication Analysis

Top Keywords

learning memory
16
escape latency
16
+/-
15
memory ability
12
rats cerebral
12
geto group
12
duxil group
12
sham group
12
swimming distance
12
group
11

Similar Publications

Brain ischemia is a major global cause of disability, frequently leading to psychoneurological issues. This study investigates the effects of 4-aminopyridine (4-AP) on anxiety, cognitive impairment, and potential underlying mechanisms in a mouse model of medial prefrontal cortex (mPFC) ischemia. Mice with mPFC ischemia were treated with normal saline (NS) or different doses of 4-AP (250, 500, and 1000 µg/kg) for 14 consecutive days.

View Article and Find Full Text PDF

Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-dependent signals indicate persistence in brain activity patterns and may relate to learning and levels of depression. This observational study investigates blood oxygenation level-dependent LRTC changes alongside therapy-induced language and mood improvements in perisylvian and domain-general brain areas.

View Article and Find Full Text PDF

Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks.

Front Comput Neurosci

August 2025

Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.

Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.

View Article and Find Full Text PDF

DeepRNAac4C: a hybrid deep learning framework for RNA N4-acetylcytidine site prediction.

Front Genet

August 2025

Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China.

RNA N4-acetylcytidine (ac4C) is a crucial chemical modification involved in various biological processes, influencing RNA properties and functions. Accurate prediction of RNA ac4C sites is essential for understanding the roles of RNA molecules in gene expression and cellular regulation. While existing methods have made progress in ac4C site prediction, they still struggle with limited accuracy and generalization.

View Article and Find Full Text PDF

Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.

Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.

View Article and Find Full Text PDF