Converging Prefronto-Insula-Amygdala Pathways in Negative Emotion Regulation in Marmoset Monkeys

BACKGROUND: Impaired regulation of emotional responses to potential threat is a core feature of affective disorders. However, while the subcortical circuitry responsible for processing and expression of fear has been well characterized, the top-down control of this circuitry is less well understood. Our recent studies demonstrated that heightened emotionality, as measured both physiologically and behaviorally, during conditioned fear and innate/ social threat was induced, independently, by excitotoxic lesions of either the anterior orbitofrontal cortex (antOFC) or ventrolateral prefrontal cortex (vlPFC). An important outstanding question is whether the antOFC and vlPFC act on common or distinct downstream targets to regulate negative emotion. METHODS: The question was addressed by combining localized excitotoxic lesions in the PFC of a nonhuman primate and functional neuroimaging ([$^{18}$F]fluorodeoxyglucose positron emission tomography) with a fear-regulating extinction paradigm. Marmoset monkeys with unilateral lesions of either the antOFC or vlPFC were scanned immediately following exposure to a fearful or safe context, and differences in [$^{18}$F]fluorodeoxyglucose uptake were evaluated. RESULTS: [$^{18}$F]fluorodeoxyglucose uptake in the insula and amygdala of the intact hemisphere was significantly increased in response to the fearful context compared with the safe context. Such discrimination between the two contexts was not reflected in the activity of the insula-amygdala of the antOFC or vlPFC-lesioned hemisphere. Instead, uptake was at an intermediate level in both contexts. CONCLUSIONS: These findings demonstrate that the distinct control functions of the antOFC and vlPFC converge on the same downstream targets to promote emotion regulation, taking us closer to a mechanistic understanding of different forms of anxiety.This research was supported by a Medical Research Programme Grant (No. MR/M023990/1) from the Medical Research Council (to ACR) and was carried out within the Behavioural and Clinical Neuroscience Institute supported by a consortium award from the Wellcome Trust and the Medical Research Council

Unpublished Mediterranean and Black Sea records of marine alien, cryptogenic, and neonative species

To enrich spatio-temporal information on the distribution of alien, cryptogenic, and neonative species in the Mediterranean and the Black Sea, a collective effort by 173 marine scientists was made to provide unpublished records and make them open access to the scientific community. Through this effort, we collected and harmonized a dataset of 12,649 records. It includes 247 taxa, of which 217 are Animalia, 25 Plantae and 5 Chromista, from 23 countries surrounding the Mediterranean and the Black Sea. Chordata was the most abundant taxonomic group, followed by Arthropoda, Mollusca, and Annelida. In terms of species records, Siganus luridus, Siganus rivulatus, Saurida lessepsianus, Pterois miles, Upeneus moluccensis, Charybdis (Archias) longicollis, and Caulerpa cylindracea were the most numerous. The temporal distribution of the records ranges from 1973 to 2022, with 44% of the records in 2020–2021. Lethrinus borbonicus is reported for the first time in the Mediterranean Sea, while Pomatoschistus quagga, Caulerpa cylindracea, Grateloupia turuturu, and Misophria pallida are first records for the Black Sea; Kapraunia schneideri is recorded for the second time in the Mediterranean and for the first time in Israel; Prionospio depauperata and Pseudonereis anomala are reported for the first time from the Sea of Marmara. Many first country records are also included, namely: Amathia verticillata (Montenegro), Ampithoe valida (Italy), Antithamnion amphigeneum (Greece), Clavelina oblonga (Tunisia and Slovenia), Dendostrea cf. folium (Syria), Epinephelus fasciatus (Tunisia), Ganonema farinosum (Montenegro), Macrorhynchia philippina (Tunisia), Marenzelleria neglecta (Romania), Paratapes textilis (Tunisia), and Botrylloides diegensis (Tunisia)

Sign Language Recognition

This chapter covers the key aspects of sign-language recognition (SLR), starting with a brief introduction to the motivations and requirements, followed by a précis of sign linguistics and their impact on the field. The types of data available and the relative merits are explored allowing examination of the features which can be extracted. Classifying the manual aspects of sign (similar to gestures) is then discussed from a tracking and non-tracking viewpoint before summarising some of the approaches to the non-manual aspects of sign languages. Methods for combining the sign classification results into full SLR are given showing the progression towards speech recognition techniques and the further adaptations required for the sign specific case. Finally the current frontiers are discussed and the recent research presented. This covers the task of continuous sign recognition, the work towards true signer independence, how to effectively combine the different modalities of sign, making use of the current linguistic research and adapting to larger more noisy data set

AITION: A scalable platform for interactive data mining

AITION is a scalable, user-friendly, and interactive data mining (DM) platform, designed for analyzing large heterogeneous datasets. Implementing state-of-the-art machine learning algorithms, it successfully utilizes generative Probabilistic Graphical Models (PGMs) providing an integrated framework targeting feature selection, Knowledge Discovery (KD), and decision support. At the same time, it offers advanced capabilities for multi-scale data distribution representation, analysis & simulation, as well as, for identification and modelling of variable associations. AITION is built on top of Athena Distributed Processing (ADP) engine, a next generation data-flow language engine, capable of supporting large-scale KD on a variety of distributed platforms, such as, ad-hoc clusters, grids, or clouds. On the front end, it offers an interactive visual interface that allows users to explore the results of the KD process. The end result is that users not only understand the process that led to a statistical conclusion, but also the impact of that conclusion on their hypotheses. In the proposed demonstration, we will show AITION in action at various stages of the knowledge discovery process, showcasing its key features regarding interactivity and scalability against a variety of problems. © 2012 Springer-Verlag

Eosinophilic pericardial effusion in a cat with complex systemic disease and associated peripheral eosinophilia

An 11-year-old domestic shorthair cat was referred for investigation of dry cough of 1-week duration and cardiomegaly. Echocardiography revealed pericardial effusion, and eosinophils were identified as the predominant cell type in fluid collected by pericardiocentesis. Thoracic computed tomography imaging and bronchoscopy were supportive of mild lower airway disease, while bronchoalveolar lavage confirmed eosinophilic inflammation and concurrent Mycoplasma felis infection. A few months after the initial presentation, there was clinical deterioration, and further investigation suggested intestinal lymphoma. It was hypothesized that pericardial effusion and lower airway inflammation were an early manifestation of hypereosinophilic syndrome, possibly as a paraneoplastic consequence of lymphoma

Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood.

With increasing attention on the developmental causes of neuropsychiatric disorders, appropriate animal models are crucial to identifying causes and assessing potential interventions. The common marmoset is an ideal model as it has sophisticated social/emotional behavior, reaching adulthood within 2 years of birth. Magnetic resonance imaging was used in an accelerated longitudinal cohort (n = 41; aged 3-27 months; scanned 2-7 times over 2 years). Splines were used to model nonlinear trajectories of grey matter volume development in 53 cortical areas and 16 subcortical nuclei. Generally, volumes increased before puberty, peaked, and declined into adulthood. We identified 3 milestones of grey matter development: I) age at peak volume; II) age at onset of volume decline; and III) age at maximum rate of volume decline. These milestones differentiated growth trajectories of primary sensory/motor cortical areas from those of association cortex but also revealed distinct trajectories between association cortices. Cluster analysis of trajectories showed that prefrontal cortex was the most heterogenous of association regions, comprising areas with distinct milestones and developmental trajectories. These results highlight the potential of high-field structural MRI to define the dynamics of primate brain development and importantly to identify when specific prefrontal circuits may be most vulnerable to environmental impact

The Issues of 3D Hand Gesture and Posture Recognition Using the Kinect

International audienceBesides the emergence of many input devices and sensors, they are still unable to provide good and simple recognition of human postures and gestures. The recognition using simple algorithms implemented on top of these devices (like the Kinect) enlarges use cases for these gestures and postures to newer domains and systems. Our methods cuts the needed computation and allow the integration of other algorithms to run in parallel. We present a system able to track the hand in 3D, log its position and surface information during the time, and recognize hand postures and gestures. We present our solution based on simple geometric algorithms, other tried algorithms, and we discuss some concepts raised from our tests

Eosinophilic pericardial effusion in a cat with complex systemic disease and associated peripheral eosinophilia

An 11-year-old domestic shorthair cat was referred for investigation of dry cough of 1-week duration and cardiomegaly. Echocardiography revealed pericardial effusion, and eosinophils were identified as the predominant cell type in fluid collected by pericardiocentesis. Thoracic computed tomography imaging and bronchoscopy were supportive of mild lower airway disease, while bronchoalveolar lavage confirmed eosinophilic inflammation and concurrent Mycoplasma felis infection. A few months after the initial presentation, there was clinical deterioration, and further investigation suggested intestinal lymphoma. It was hypothesized that pericardial effusion and lower airway inflammation were an early manifestation of hypereosinophilic syndrome, possibly as a paraneoplastic consequence of lymphoma

Eosinophilic pericardial effusion in a cat with complex systemic disease and associated peripheral eosinophilia

An 11-year-old domestic shorthair cat was referred for investigation of dry cough of 1-week duration and cardiomegaly. Echocardiography revealed pericardial effusion, and eosinophils were identified as the predominant cell type in fluid collected by pericardiocentesis. Thoracic computed tomography imaging and bronchoscopy were supportive of mild lower airway disease, while bronchoalveolar lavage confirmed eosinophilic inflammation and concurrent Mycoplasma felis infection. A few months after the initial presentation, there was clinical deterioration, and further investigation suggested intestinal lymphoma. It was hypothesized that pericardial effusion and lower airway inflammation were an early manifestation of hypereosinophilic syndrome, possibly as a paraneoplastic consequence of lymphoma