A Perspective on Neuroscience Data Standardization with Neurodata Without Borders.

Neuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology data, has recently emerged as a powerful solution for data management, analysis, and sharing. We here discuss our labs' efforts to implement NWB data science pipelines. We describe general principles and specific use cases that illustrate successes, challenges, and non-trivial decisions in software engineering. We hope that our experience can provide guidance for the neuroscience community and help bridge the gap between experimental neuroscience and data science. Key takeaways from this article are that (1) standardization with NWB requires non-trivial design choices; (2) the general practice of standardization in the lab promotes data awareness and literacy, and improves transparency, rigor, and reproducibility in our science; (3) we offer several feature suggestions to ease the extensibility, publishing/sharing, and usability for NWB standard and users of NWB data.

Classics in Chemical Neuroscience: Muscimol.

Muscimol (3) is a psychoactive isoxazole present in various Amanita mushrooms, along with ibotenic acid and muscarine. It is structurally related to GABA and acts as a GABAA agonist with great affinity. Muscimol use dates back to Siberian shamanic cultures as an entheogen, where it was ingested orally to exert psychoactive effects. Although not approved for clinical use, its potential and use as a research tool in neuroscience is of immense value, with 3H-muscimol being used as a radioligand in GABA receptor research. Since its discovery in the early 60s, many research groups have worked on the synthesis of the compound. Recent research suggests the potential use of muscimol in neuropathic pain relief and other potential uses are also being studied. In this review, we will cover the history, chemistry, pharmacology and overall importance of the compound.

Pain neuroscience education and motor imagery-based exercise protocol for patients with fibromyalgia: A randomized controlled trial.

BACKGROUND: This study is a randomized controlled, biopsychosocial study investigating the effectiveness of pain neuroscience education (PNE) and motor imagery-based exercise protocol (MIEP) on fibromyalgia pain. METHODS: Our study has four groups (MIEP n = 12, PNE n = 12, MIEP + PNE n = 14, Control n = 12) and all participants (n = 50) consist of patients diagnosed with fibromyalgia with chronic back pain. The primary outcome measure was pain intensity, and secondary outcome measures were beliefs, kinesiophobia, anxiety-depression, cognitive-mood, self-esteem, and body awareness. RESULTS: A statistically significant decrease in pain intensity was observed in all experimental groups, without any group being superior (Visual Analog Scale [VAS]: MIEP + PNE p = .003, 95% confidence interval [CI], -4.7078 to -0.9922; MIEP p = .003, 95% CI, -5.4806 to -1.0194; PNE p = .002, 95% CI, -3.6139 to -1.5461). There was a significant improvement in organic beliefs in both groups where PNE was applied (MIEP + PNE: p = .017, 95% CI, -7.8211 to -0.3189; PNE: p = .003, 95% CI, -9.7999 to -0.0401). A significant superiority in organic pain beliefs was detected in the MIEP + PNE group compared to the control group (p = .008, 95% CI, 1.7241-9.4959). CONCLUSIONS: According to this study, in which MIEP and PNE were combined, there was a decrease in pain intensity when both applications were applied together and when they were applied one by one. MIEP has improved her motor imagery ability, improved pain and increased body awareness. PNE has improved people's organic pain beliefs; removed people from fears, catastrophizing, and negative thoughts about pain; improved easier management of psychological processes and cognitive-emotion regulation ability.

In the attic of dreams. The personal archives of the father of paradoxical sleep.

Michel Jouvet (1925-2017) is one of the most important figures in the contemporary history of the neuroscience of sleep and dreams, and one of the most awarded French researchers of the last century. Yet this former CNRS gold medalist and winner of the Cino Del Duca World Prize remains little known-not to say unknown-outside the field of sleep medicine, especially in non-French-speaking countries, where the name of his American counterpart, William C. Dement, is more familiar. Often reduced to his experiments on cats and the discovery of what he called "paradoxical sleep," Jouvet left behind a rather unique body of work that includes not only countless publications on sleep and dreams-neurophysiological as well as ethnological and psychological-but also major contributions to clinical medicine, two novels and an impressive collection of personal dream accounts and drawings, which now make it possible to explore the nocturnal side of the last 50 years of his life. This article draws on unpublished archives to illuminate all these little-known and unknown aspects of Jouvet's life and work, highlighting his hidden links with 19th-century scientific oneirology and bringing to light its paradoxes.

Plaudits for logits in sensory neuroscience.

A workhorse tool of economic decision-making has long sought to get inside people's heads through careful examination of their choices. In this issue of Neuron, Carandini1 flips the script, showing how it can model how the brain makes sensory choices.

Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience.

Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the causes of brain disorders. This review explores the potential applications of surface-enhanced Raman scattering (SERS) nanosensors in neurosciences, where their adoption could lead to significant progress in the field. These applications encompass detecting neurotransmitters or brain disorders biomarkers in biofluids with SERS nanosensors, and imaging normal and pathological brain tissues with SERS labeling. Specific studies highlighting in vitro, ex vivo, and in vivo analysis of brain disorders using fit-for-purpose SERS nanosensors will be detailed, with an emphasis on the ability of SERS to detect clinically pertinent levels of neurochemicals. Recent advancements in designing SERS-active nanomaterials, improving experimentation in biofluids, and increasing the usage of machine learning for interpreting SERS spectra will also be discussed. Furthermore, we will address the tagging of tissues presenting pathologies with nanoparticles for SERS imaging, a burgeoning domain of neuroscience that has been demonstrated to be effective in guiding tumor removal during brain surgery. The review also explores future research applications for SERS nanosensors in neuroscience, including monitoring neurochemistry in vivo with greater penetration using surface-enhanced spatially offset Raman scattering (SESORS), near-infrared lasers, and 2-photon techniques. The article concludes by discussing the potential of SERS for investigating the effectiveness of therapies for brain disorders and for integrating conventional neurochemistry techniques with SERS sensing.

Emerging role and translational potential of small extracellular vesicles in neuroscience.

Small extracellular vesicles (sEV) are endogenous lipid-bound membrane vesicles secreted by both prokaryotic and eukaryotic cells into the extracellular environment, performs several biological functions such as cell-cell communication, transfer of proteins, mRNA, and ncRNA to target cells in distant sites. Due to their role in molecular pathogenesis and its potential to deliver biological cargo to target cells, it has become a prominent area of interest in recent research in the field of Neuroscience. However, their role in neurological disorders, like neurodegenerative diseases is more complex and still unaddressed. Thus, this review focuses on the role of sEV in neurodegenerative and neurodevelopmental diseases, including their biogenesis, classification, and pathogenesis, with translational advantages and limitations in the area of neurobiology.

The effect of pain neuroscience education on chronic postsurgical pain after total knee arthroplasty: a randomized controlled trial.

BACKGROUND AND PURPOSE:  Chronic postsurgical pain after total knee arthroplasty (TKA) is frequent and may be reduced by pain neuroscience education (PNE), teaching people about pain from a neurobiological perspective. This study investigated primarily the effectiveness of 2 individual sessions of PNE versus usual care on pain levels 3 months postoperatively in patients undergoing TKA. Secondary outcomes were physical functioning, stiffness, health-related quality of life, pain catastrophizing, attention to pain, and levels of anxiety and depression. METHODS:  A prospective single-center, parallel-group randomized controlled trial was undertaken including patients aged 18 years or older scheduled for primary TKA. 68 patients were randomly assigned to PNE or usual care. The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain score 3 months postoperatively. Outcomes were measured preoperatively, at 2 weeks (acute phase), and at 3 and 12 months postoperatively. RESULTS:  We found no statistically significant difference (0.4 points; 95% confidence interval [CI] -1.7 to 2.4) in WOMAC pain scores 3 months after TKA between the PNE and control group. We found a statistically significant difference between the 2 groups for attention to pain at 3 months in favor of PNE (P = 0.02). CONCLUSION:  This RCT showed that PNE was not superior to usual care in terms of reducing pain at 3 months after TKA. Attention to pain, as a secondary outcome, was significantly lower in the PNE group compared with usual care. Other secondary outcome measures showed no significant differences.

Rethinking plasticity: Analysing the concept of "destructive plasticity" in the light of neuroscience definitions.

As a multilevel and multidisciplinary field, neuroscience is designed to interact with various branches of natural and applied sciences as well as with humanities and philosophy. The continental tradition in philosophy, particularly over the past 20 years, tended to establish strong connections with biology and neuroscience findings. This cross fertilization can however be impeded by conceptual intricacies, such as those surrounding the concept of plasticity. The use of this concept has broadened as scientists applied it to explore an ever-growing range of biological phenomena. Here, we examine the consequences of this ambiguity in an interdisciplinary context through the analysis of the concept of "destructive plasticity" in the philosophical writings of Catherine Malabou. The term "destructive plasticity" was coined by Malabou in 2009 to refer to all processes leading to psycho-cognitive and emotional alterations following traumatic or nontraumatic brain injuries or resulting from neurodevelopmental disorders. By comparing it with the neuroscientific definitions of plasticity, we discuss the epistemological obstacles and possibilities related to the integration of this concept into neuroscience. Improving interdisciplinary exchanges requires an advanced and sophisticated manipulation of neurobiological concepts. These concepts are not only intended to guide research programmes within neuroscience but also to organize and frame the dialogue between different theoretical backgrounds.

The 44th Annual Meeting of the J.B. Johnston Club for Evolutionary Neuroscience and the 36th Annual Karger Workshop in Evolutionary Neuroscience.

N/A.