Treatment of Alzheimer's disease (AD) with acetylcholinesterase inhibitors (AChEI) enhances cholinergic activity and alleviates clinical symptoms. In the present functional magnetic resonance imaging (fMRI) study, we investigated the effect of the AChEI rivastigmine on cognitive function and brain activation patterns during a face recognition memory task. Twenty patients with newly-diagnosed mild AD were administered a single oral dose of placebo, a single dose of rivastigmine (acute), and twice-daily treatment with rivastigmine for 4 weeks (chronic). After each treatment, the patients underwent a facial recognition task during fMRI. The prefrontal areas known to be involved in face recognition memory processing demonstrated greater fMRI activity in both the acute and chronic rivastigmine conditions compared to the placebo condition. In the same brain areas, differences in both fMRI activation at the map level and regional fMRI signal intensity measures between the placebo and chronic treatment conditions correlated negatively with the Mini- Mental State Examination score. In the chronic rivastigmine condition, patients with better preserved cognitive abilities demonstrated less enhanced prefrontal activity, whereas patients with poorer cognition showed greater prefrontal activity. These findings suggest that the prefrontal attention/working memory systems are already impaired in the early stages of AD and that the effect of cholinergic medication in the brain areas involved in recognition memory, i.e., increased or decreased fMRI activation patterns, depends on the severity of the disease. These findings also suggest the importance of early AChEI treatment in the course of AD, at the point when there is still some cognitive reserve available and the therapy has the highest potential efficacy.
This paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)-based model optimized by genetic algorithm. The convolutional neural network has performed well in various recognition and perception tasks. This paper contributes to the cancer classification using a union of two CNNs.
Down syndrome (DS) is a common genetic condition affecting people worldwide. It involves cognitive disabilities for which there are no drug therapies. The Ts65Dn mouse model of DS shows cognitive impairment due to a reduction in neuron number and connectivity as well as excessive neuronal activity, as GABA antagonist treatment restores memory in these mice.
Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China. Electronic address:
Postoperative cognitive dysfunction (POCD) is characterized by a decline in cognitive functions, including memory, attention, and executive abilities, following surgery, with no effective therapeutic drugs currently available. Arketamine, the (R)-enantiomer of ketamine, has shown promise in mitigating cognitive deficits in animal models. In this study, we investigated whether arketamine could ameliorate cognitive deficits in a mouse model of POCD, with a focus on the role of transforming growth factor (TGF)-β1 in its effects.
Hopfield neural networks (HNNs) promise broad applications in areas such as combinatorial optimization, memory storage, and pattern recognition. Among various implementations, optical HNNs are particularly interesting because they can take advantage of fast optical matrix-vector multiplications. Yet their studies so far have mostly been on the theoretical side, and the effects of optical imperfections and robustness against memory errors remain to be quantified.
Mycobacterium tuberculosis causes human tuberculosis. As mycobacteria are protected by thick lipid cell wall, humans have developed immune responses against diverse mycobacterial lipids. Most of these immunostimulatory lipids are known as adjuvants acting through innate immune receptors, such as C-type lectin receptors.
