The ability to cope with changing environments is critical for healthy functioning, yet this flexibility is impaired in many neuropsychiatric disorders. However, neural mechanisms underlying flexible behavior remain elusive. Here, we report that oscillatory dynamics in the medial prefrontal cortex (mPFC) support learning to flexibly overcome established behavioral bias. Mice performed a delayed non-match-to-sample task that required trial-by-trial adjustment of arm choice strategy despite persistent arm bias. Decoding analysis of delay-period local field potentials (LFPs) and single-unit activities revealed evolving neural representations across trials as mice adapted to the task. Notably, mPFC neurons modulated by theta (4~12 Hz) bursts selectively encoded upcoming choice information after acquiring the new rule. In contrast, beta (12~30 Hz) bursts correlated with perseverative behavior and appeared to inhibit theta-modulated neuronal firing in mice showing adaptive behavior. These theta and beta bursts were temporally separated over the delay period, reflecting a dynamic gating mechanism. Thus, beta bursts shape neuronal ensembles that are modulated by theta bursts to facilitate flexible learning. This dynamic interaction provides a mechanistic basis for cognitive flexibility and provides insights into cognitive rigidity seen in neuropsychiatric disorders such as schizophrenia and autism.

Background/Aims: Although acute pulmonary embolism (PE) adversely impacts survival and should be treated regardless of cancer, the treatment rate of cancer-related PE is relatively low. We aimed to compare clinical characteristics and long term prognosis of PE in patients with or without cancer. Methods: From March 2010 to December 2013, patients with newly diagnosed PE were analyzed. Baseline demographics, comorbidities, cancer status and clinical manifestations of PE were recorded. We defined primary composite outcome as recurrent venous thromboembolism (VTE) and death from PE. Results: Among a total of 976 patients with PE, the 703 (72.0%) had cancer-related PE. Cancer-related PE group was more frequently asymptomatic (54.5% vs. 13.2%, p < 0.001), less extensive (involvement of bilateral pulmonary arteries: 42.8% vs. 51.3%, p = 0.017; lung infarction: 5.3% vs. 10.3%, p = 0.005) and less likely to accompany right ventricular dysfunction (10.3% vs. 27.2%, p < 0.001) compared with the non-cancer PE group. Anticoagulation was less frequently underwent in patients with cancer-related PE than those without cancer (62.0% vs. 81.7%, p < 0.001). A composite of recurrent VTE and death from PE was significantly higher in the cancer-related PE group (14.4% vs. 6.6%, p = 0.001). Conclusions Although PE in cancer patients were seem to be less aggressive initially, compared to those without cancer, they had significantly poor prognosis. Given a high rate of recurrent VTE and relatively similar risk of anticoagulation associated bleeding events in cancer patients, more active treatment of PE is warranted in cancer patients.

Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions—the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.
Artificial Intelligence ; Biology ; Biotechnology ; Friends ; Humans ; Korea ; Protein Folding ; Voice

Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions—the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.

Here we describe a case of rapidly expanding ascending aortic aneurysm in a patient with relapsing polychondritis. To prevent aneurysm rupture, the patient underwent emergent surgical repair. Silent inflammation can progress in the aorta wall, even in asymptomatic patients with mild disease activity under immunosuppressive treatment, leading to the rapid growth of aortic aneurysms. Close monitoring with routine imaging is needed once a patient with relapsing polychondritis is diagnosed with an aortic aneurysm.
Aneurysm ; Aorta ; Aortic Aneurysm* ; Aortitis ; Humans ; Inflammation ; Polychondritis, Relapsing* ; Rupture