Intraoperative Traction May Induce Acute Onset Dysphagia With Diffuse Idiopathic Skeletal Hyperostosis After Anterior Cervical Discectomy.

Diffuse idiopathic skeletal hyperostosis (DISH) is a systemic bone-forming disease, and its pathogenesis remains unknown. Moreover, the incidence of DISH increases with age. DISH may be an age-related disorder that occurs more frequently in degenerative spines than in healthy spines. Most patients with DISH of the cervical spine are asymptomatic; however, mechanical compression of the esophagus by the cervical spine can induce dysphagia, hoarseness, and dyspnea. In most cases, dysphagia progresses slowly. Most cases of postoperative dysphagia after anterior cervical spine surgery occurred within 1 month, and most patients recovered spontaneously. Severe dysphagia is relatively uncommon. Here, we report a case of acute-onset dysphagia with DISH that occurred immediately after anterior cervical discectomy. We should consider the possibility of dysphagia occurring immediately after anterior cervical discectomy in patients with DISH, even in those without dysphagia before surgery. Furthermore, surgical treatment for severe postoperative dysphagia associated with DISH may be a good option.

Efficient and Rapid Photocatalytic Degradation of Methyl Orange Dye Using Al/ZnO Nanoparticles.

ZnO and Aluminum doped ZnO nanoparticles (Al/ZnO NPs) were successfully synthesized by the sol-gel method. Together with the effect of calcination temperatures (200, 300 and 400 °C) and Al dosage (1%, 3%, 5% and 10%) on structural, morphological and optical properties of Al/ZnO NPs, their photocatalytic degradation of methyl orange (MO) dye was investigated. The calcination temperatures at 200, 300 and 400 °C in forming structure of ZnO NPs led to spherical nanoparticle, nanorod and nanoflake structures with a well-crystalline hexagonal wurtzite, respectively. The ZnO NPs calcined at 200 °C exhibited the highest specific surface area and light absorption property, leading to the MO removal efficiency of 80% after 4 h under the Ultraviolet (UV) light irradiation. The MO removal efficiency was approximately two times higher than the nanoparticles calcined at 400 °C. Furthermore, the 5% Al/ZnO NPs exhibited superior MO removal efficiency of 99% in only 40 min which was approximately 20 times enhancement in photocatalytic activity compared to pristine ZnO under the visible light irradiation. This high degradation performance was attributed to the extended light absorption, narrowed band gap and effective suppression of electron-hole recombination through an addition of Al metal.

Robust and distributed neural representation of action values.

Studies in rats, monkeys, and humans have found action-value signals in multiple regions of the brain. These findings suggest that action-value signals encoded in these brain structures bias choices toward higher expected rewards. However, previous estimates of action-value signals might have been inflated by serial correlations in neural activity and also by activity related to other decision variables. Here, we applied several statistical tests based on permutation and surrogate data to analyze neural activity recorded from the striatum, frontal cortex, and hippocampus. The results show that previously identified action-value signals in these brain areas cannot be entirely accounted for by concurrent serial correlations in neural activity and action value. We also found that neural activity related to action value is intermixed with signals related to other decision variables. Our findings provide strong evidence for broadly distributed neural signals related to action value throughout the brain.

Role of rodent secondary motor cortex in value-based action selection.

Despite widespread neural activity related to reward values, signals related to upcoming choice have not been clearly identified in the rodent brain. Here we examined neuronal activity in the lateral (AGl) and medial (AGm) agranular cortex, corresponding to the primary and secondary motor cortex, respectively, in rats performing a dynamic foraging task. Choice signals, before behavioral manifestation of the rat's choice, arose in the AGm earlier than in any other areas of the rat brain previously studied under free-choice conditions. The AGm also conveyed neural signals for decision value and chosen value. By contrast, upcoming choice signals arose later, and value signals were weaker, in the AGl. We also found that AGm lesions made the rats' choices less dependent on dynamically updated values. These results suggest that rodent secondary motor cortex might be uniquely involved in both representing and reading out value signals for flexible action selection.

Distinct roles of rodent orbitofrontal and medial prefrontal cortex in decision making.

We investigated how different subregions of rodent prefrontal cortex contribute to value-based decision making, by comparing neural signals related to animal's choice, its outcome, and action value in orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC) of rats performing a dynamic two-armed bandit task. Neural signals for upcoming action selection arose in the mPFC, including the anterior cingulate cortex, only immediately before the behavioral manifestation of animal's choice, suggesting that rodent prefrontal cortex is not involved in advanced action planning. Both OFC and mPFC conveyed signals related to the animal's past choices and their outcomes over multiple trials, but neural signals for chosen value and reward prediction error were more prevalent in the OFC. Our results suggest that rodent OFC and mPFC serve distinct roles in value-based decision making and that the OFC plays a prominent role in updating the values of outcomes expected from chosen actions.

Role of striatum in updating values of chosen actions.

The striatum is thought to play a crucial role in value-based decision making. Although a large body of evidence suggests its involvement in action selection as well as action evaluation, underlying neural processes for these functions of the striatum are largely unknown. To obtain insights on this matter, we simultaneously recorded neuronal activity in the dorsal and ventral striatum of rats performing a dynamic two-armed bandit task, and examined temporal profiles of neural signals related to animal's choice, its outcome, and action value. Whereas significant neural signals for action value were found in both structures before animal's choice of action, signals related to the upcoming choice were relatively weak and began to emerge only in the dorsal striatum approximately 200 ms before the behavioral manifestation of the animal's choice. In contrast, once the animal revealed its choice, signals related to choice and its value increased steeply and persisted until the outcome of animal's choice was revealed, so that some neurons in both structures concurrently conveyed signals related to animal's choice, its outcome, and the value of chosen action. Thus, all the components necessary for updating values of chosen actions were available in the striatum. These results suggest that the striatum not only represents values associated with potential choices before animal's choice of action, but might also update the value of chosen action once its outcome is revealed. In contrast, action selection might take place elsewhere or in the dorsal striatum only immediately before its behavioral manifestation.

Model-based reinforcement learning under concurrent schedules of reinforcement in rodents.

Reinforcement learning theories postulate that actions are chosen to maximize a long-term sum of positive outcomes based on value functions, which are subjective estimates of future rewards. In simple reinforcement learning algorithms, value functions are updated only by trial-and-error, whereas they are updated according to the decision-maker's knowledge or model of the environment in model-based reinforcement learning algorithms. To investigate how animals update value functions, we trained rats under two different free-choice tasks. The reward probability of the unchosen target remained unchanged in one task, whereas it increased over time since the target was last chosen in the other task. The results show that goal choice probability increased as a function of the number of consecutive alternative choices in the latter, but not the former task, indicating that the animals were aware of time-dependent increases in arming probability and used this information in choosing goals. In addition, the choice behavior in the latter task was better accounted for by a model-based reinforcement learning algorithm. Our results show that rats adopt a decision-making process that cannot be accounted for by simple reinforcement learning models even in a relatively simple binary choice task, suggesting that rats can readily improve their decision-making strategy through the knowledge of their environments.