Results 51 to 60 of about 170,260 (319)

Cerebral autoregulation in patients with acute lacunar infarction: a reliable predictor of outcome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objective To further investigate the association between dynamic cerebral autoregulation (dCA) and the outcomes in patients with acute lacunar infarction. Methods Patients were prospectively and consecutively enrolled at The First Hospital of Jilin University between 2016 and 2023. dCA was monitored at 1–3 and 7–10 days after the stroke.
Xiang‐Kun Si   +7 more
wiley   +1 more source

Defining the Biologically Plausible Taxonomic Domain of Applicability of an Adverse Outcome Pathway: A Case Study Linking Nicotinic Acetylcholine Receptor Activation to Colony Death

open access: yesEnvironmental Toxicology and Chemistry, Volume 42, Issue 1, Page 71-87, January 2023., 2023
Abstract For the majority of developed adverse outcome pathways (AOPs), the taxonomic domain of applicability (tDOA) is typically narrowly defined with a single or a handful of species. Defining the tDOA of an AOP is critical for use in regulatory decision‐making, particularly when considering protection of untested species.
Marissa A. Jensen   +2 more
wiley   +1 more source

Nicotine as Therapy

open access: yesPLoS Biology, 2004
In daily use for centuries by hundreds of millions of people, nicotine has only lately been investigated for its therapeutic potential in a long list of common ...
openaire   +5 more sources

CSF Tau Is a Biomarker of Hippocampal Injury in Cryptogenic New‐Onset Refractory Status Epilepticus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cryptogenic new‐onset refractory status epilepticus (cNORSE) is a devastating condition characterized by the de novo onset of status epilepticus with unclear etiology. The identification of relevant early biomarkers in cNORSE is important to elucidate pathophysiology, aid clinical decision‐making, and prognosticate outcomes in cNORSE.
Yihui Goh   +8 more
wiley   +1 more source

Pharmacokinetic and pharmacodynamic studies of nicotine in rat brain: a simultaneous investigation of nicotine metabolites and the release of neurotransmitters in vivo

open access: yesFrontiers in Chemistry, 2023
Introduction: The body’s ability to metabolize nicotine and the disposition of nicotine in the brain are important determinants of its exposure. Limited knowledge about the near real-time changes of neurochemicals during the brain nicotine metabolic ...
Lulu Guo   +12 more
doaj   +1 more source

Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits [PDF]

open access: yesarXiv, 2022
The identification of addiction-related circuits is critical for explaining addiction processes and developing addiction treatments. And models of functional addiction circuits developed from functional imaging are an effective tool for discovering and verifying addiction circuits.
arxiv  

Nicotin [PDF]

open access: yesArchiv der Pharmazie
n ...
openaire   +1 more source

Biomimetic Design of Biocompatible Neural Probes for Deep Brain Signal Monitoring and Stimulation: Super Static Interface for Immune Response‐Enhanced Contact

open access: yesAdvanced Functional Materials, EarlyView.
Ultrathin, flexible neural probes are developed with an innovative, biomimetic design incorporating brain tissue‐compatible materials. The material system employs biomolecule‐based encapsulation agents to mitigate inflammatory responses, as demonstrated through comprehensive in vitro and in vivo studies.
Jeonghwa Jeong   +7 more
wiley   +1 more source

Identifying determinants of varenicline adherence using the Theoretical Domains framework: a rapid review

open access: yesBMC Public Health
Background Adhering to varenicline has been shown to significantly improve the chances of successfully quitting smoking, with studies indicating a twofold increase in 6-month quit rates.
Nadia Minian   +9 more
doaj   +1 more source

Estimating Longitudinal Causal Effects with Unobserved Noncompliance Using a Semi-Parametric G-computation Algorithm [PDF]

open access: yesarXiv, 2023
Participant noncompliance, in which participants do not follow their assigned treatment protocol, often obscures the causal relationship between treatment and treatment effect in randomized trials. In the longitudinal setting, the G-computation algorithm can adjust for confounding to estimate causal effects. Typically, G-computation assumes that both 1)
arxiv  

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