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Kunze, J.

Publications and source records attributed to Kunze, J..

4 recordsLinked to original sources

Low-dose ketamine tilts the cortical excitation--inhibition balance irrespective of systemic physiological response

Non-invasive proxies of cortical excitation--inhibition (E:I) balance, are increasingly used to understand human neural dynamics; especially so the aperiodic (1/f) electroencephalographic (EEG) exponent. Ketamine, an NMDA-receptor antagonist, is thought to shift this balance toward excitation. Propofol, a GABAA-receptor agonist, should behave oppositely. Here we show that these pharmacological manipulations at low doses tilt the noninvasive read-out of E:I balance as predicted, and we demonstrate this effect to be robust against potential mediation by the ketamine-related systemic cardiovascular response. In a single-blind, placebo-controlled crossover study, 25 healthy adults received low, subanesthetic doses of ketamine, propofol, or placebo by target-controlled infusion during resting-state EEG. We further analyzed electrocardiogram (ECG) and dissociating ratings. Ketamine flattened the aperiodic exponent (i.e., a shift toward excitation) and raised heart rate and blood pressure; propofol exerted its effects in the opposite direction, while both agents reduced alpha oscillatory power. Critically, the cardiovascular response did not mediate the cortical E:I shift. Controlling for heart rate left the ketamine effect not only intact but numerically stronger, suggesting that E:I balance findings might even be underestimated when ignoring the systemic physiological response.

neuroscience↗

The Bioregistry: Unifying the Identification of Biomedical Entities through an Integrative, Open, Community-driven Metaregistry

The standardized identification of biomedical entities is a cornerstone of interoperability, reuse, and data integration in the life sciences. Several registries have been developed to catalog resources maintaining identifiers for biomedical entities such as small molecules, proteins, cell lines, and clinical trials. However, existing registries have struggled to provide sufficient coverage and metadata standards that meet the evolving needs of modern life sciences researchers. Here, we introduce the Bioregistry, an integrative, open, community-driven metaregistry that synthesizes and substantially expands upon 23 existing registries. The Bioregistry addresses the need for a sustainable registry by leveraging public infrastructure and automation, and employing a progressive governance model centered around open code and open data to foster community contribution. The Bioregistry can be used to support the standardized annotation of data, models, ontologies, and scientific literature, thereby promoting their interoperability and reuse. The Bioregistry can be accessed through https://bioregistry.io and its source code and data are available under the MIT and CC0 Licenses at https://github.com/biopragmatics/bioregistry.

bioinformatics↗

Identifiers for the 21st century:How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the design, provision and reuse of identifiers; we also outline important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

bioinformatics↗

Uniform Resolution of Compact Identifiers for Biomedical Data

Most biomedical data repositories issue locally-unique accessions numbers, but do not provide globally unique, machine-resolvable, persistent identifiers for their datasets, as required by publishers wishing to implement data citation in accordance with widely accepted principles. Local accessions may however be prefixed with a namespace identifier, providing global uniqueness. Such \"compact identifiers\" have been widely used in biomedical informatics to support global resource identification with local identifier assignment.\n\nWe report here on our project to provide robust support for machine-resolvable, persistent compact identifiers in biomedical data citation, by harmonizing the Identifiers.org and N2T.net (Name-To-Thing) meta-resolvers and extending their capabilities. Identifiers.org services hosted at the European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), and N2T.net services hosted at the California Digital Library (CDL), can now resolve any given identifier from over 600 source databases to its original source on the Web, using a common registry of prefix-based redirection rules.\n\nWe believe these services will be of significant help to publishers and others implementing persistent, machine-resolvable citation of research data.

bioinformatics↗