Trainingspace: Neuroeducation Without Borders

Advancements in the field of neuroinformatics have resulted in a massive explosion of raw data of many varieties, yet many traditional neuroscience training programs have not changed their curricula to reflect the urgent need for improved computational skills that would enable trainees to handle, organize, and interrogate such large, multimodal datasets. Thus, the objective of this project was to build an open access hub of neuroscience educational resources to fill the gap between current neuroscience curricula and the computationally focused skillset required to work with big data. To achieve this aim, we invited representatives from the world's leading neuroscience societies and large-scale brain initiatives to form the INCF Training and Education Committee that would provide oversight over the content and capabilities of the online hub. As a result, we developed TrainingSpace (https://training.incf.org/), an open access hub of nearly 500 multimedia courses, lectures, and tool tutorials covering the subspecialisms of neuroscience and neuroinformatics, as well as computer science, data science, and ethics. In addition to course content, TrainingSpace also provides users with access to publicly available datasets through KnowledgeSpace, a discoverability portal and community encyclopedia for neuroscience, as well as a question and answer forum, Neurostars.org. Since its launch in 2019, TrainingSpace has steadily increased in popularity with both trainees and trainers alike. It has also become popular with content providers that want to make their training materials available to the neuroscience community-at-large, as well as integrate their content into the larger TrainingSpace ecosystem.

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility

There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuroscience, like many domains in biomedicine, is confronting the issues of transparency, rigor, and reproducibility. Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. However, developing community standards and gaining their adoption is difficult. The current landscape is characterized both by a lack of robust, validated standards and a plethora of overlapping, underdeveloped, untested and underutilized standards and best practices. The International Neuroinformatics Coordinating Facility (INCF), an independent organization dedicated to promoting data sharing through the coordination of infrastructure and standards, has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience, INCF helps evaluate, promulgate, and coordinate standards and best practices across neuroscience. Here, we provide an overview of the process and discuss how neuroscience can benefit from having a dedicated standards body.

Chronic L-DOPA induces hyperactivity, normalization of gait and dyskinetic behavior in MitoPark mice

Dopamine (DA) replacement therapy continues to be the gold standard treatment for Parkinson's disease (PD), as it improves key motor symptoms including bradykinesia and gait disturbances. With time, treatment induces side effects in the majority of patients, known as L-DOPA-induced dyskinesia (LID), which are often studied in animals by the use of unilateral, toxin-induced rodent models. In this study, we used the progressive, genetic PD model MitoPark to specifically evaluate bilateral changes in motor behavior following long-term L-DOPA treatment at three different stages of striatal DA depletion. Besides locomotor activity, we assessed changes in gait with two automated gait analysis systems and the development of dyskinetic behavior. Long-term treatment with a moderate, clinically relevant dose of L-DOPA (8 mg/kg) gradually produced age-dependent hyperactivity in MitoPark mice. In voluntary and forced gait analyses, we show that MitoPark mice with severe DA depletion have distinct gait characteristics, which are normalized to control levels following long-term L-DOPA treatment. The cylinder test showed an age-dependent and gradual development of bilateral LID. Significant increase in striatal FosB and prodynorphin expression was found to accompany the behavior changes. Taken together, we report that MitoPark mice model both behavioral and biochemical characteristics of long-term L-DOPA treatment in PD patients and provide a novel, consistent and progressive animal model of dyskinesia to aid in the discovery and evaluation of better treatment options to counteract LID.

Improved recovery from spinal cord injury in rats with chronic parvovirus serotype-1a infection

OBJECTIVES

A vendor informed us that rats shipped to us and used by us in a spinal cord contusion injury experiment were infected by rat parvovirus type 1a (RPV-1a). Our aim was therefore to determine whether this infection may have altered locomotor recovery or tissue pathology.

SETTING

Stockholm, Sweden.

METHODS

We induced a moderate contusion injury of the spinal cord in rats received from an (unknown to us) RPV-1a-contaminated facility. We compared the hind limb locomotor function between RPV-1a-infected rats and non-infected controls with the same spinal cord lesions, obtained before (historical control), as well as after infection (future controls). Histologically, we assessed spinal tissue sparing, astrocyte reactivity and the amount of macrophages/activated microglia.

RESULTS

RPV-1a-infected rats had significantly better hind limb locomotor recovery compared with both 'historical' and 'future' controls. We also observed significantly better tissue sparing and axonal sparing around the injury site, as well as significant reductions in macrophages/activated microglia and astrocyte reactivity in the spinal cords of RPV-1a-infected rats.

CONCLUSION

The results stress the importance of knowing the health status of animals used to study central nervous system trauma and support the notion that acquired infections, even if asymptomatic, may alter response to injury in mammals. Furthermore, the results demonstrate that virus infections may have positive effects on functional recovery after spinal cord injury and indicate that RPV-1a infection may be neuroprotective by dampening secondary damage.

Interoperable atlases of the human brain

The last two decades have seen an unprecedented development of human brain mapping approaches at various spatial and temporal scales. Together, these have provided a large fundus of information on many different aspects of the human brain including micro- and macrostructural segregation, regional specialization of function, connectivity, and temporal dynamics. Atlases are central in order to integrate such diverse information in a topographically meaningful way. It is noteworthy, that the brain mapping field has been developed along several major lines such as structure vs. function, postmortem vs. in vivo, individual features of the brain vs. population-based aspects, or slow vs. fast dynamics. In order to understand human brain organization, however, it seems inevitable that these different lines are integrated and combined into a multimodal human brain model. To this aim, we held a workshop to determine the constraints of a multi-modal human brain model that are needed to enable (i) an integration of different spatial and temporal scales and data modalities into a common reference system, and (ii) efficient data exchange and analysis. As detailed in this report, to arrive at fully interoperable atlases of the human brain will still require much work at the frontiers of data acquisition, analysis, and representation. Among them, the latter may provide the most challenging task, in particular when it comes to representing features of vastly different scales of space, time and abstraction. The potential benefits of such endeavor, however, clearly outweigh the problems, as only such kind of multi-modal human brain atlas may provide a starting point from which the complex relationships between structure, function, and connectivity may be explored.

Smoldering HTLV-associated T-cell leukemia

Human T-cell lymphotropic virus type I-associated adult T-cell leukemia/lymphoma is a newly described clinical entity characterized by the abrupt onset of cutaneous manifestations, hypercalcemia, lymphadenopathy, and pleomorphic lobulated T cells found in the peripheral blood. The vast majority of cases reported in the United States have emphasized the rapid onset and fulminant course of the disease, which is unresponsive to conventional chemotherapeutic regimens. A smoldering form of this disease characterized by long duration of skin involvement has recently been described primarily in Japan. We describe a case of "smoldering" human T-cell lymphotropic virus type I disease in a patient from the United States.

Epidermoid (implantation) cyst after temporomandibular joint surgery

A case has been reported of an epidermoid inclusion cyst of traumatic origin in the temporomandibular joint region. The cause was attributed to previous surgery.