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Background: The recent publication of practice guidelines for management of patients with disorders of consciousness (DoC) in the United States and Europe was a major step forward in improving the accuracy and consistency of terminology, diagnostic criteria, and prognostication in this population. There remains a pressing need for a more precise brain injury classification system that combines clinical semiology with neuroimaging, electrophysiologic, and other biomarker data. To address this need, the National Institute of Neurological Disorders and Stroke launched the Common Data Elements (CDEs) initiative to facilitate systematic collection of high-quality research data in studies involving patients with neurological disease. The Neurocritical Care Society's Curing Coma Campaign expanded this effort in 2018 to develop CDEs for DoC. Herein, we present CDE recommendations for behavioral phenotyping of patients with DoC.
Methods: The Behavioral Phenotyping Workgroup used a preestablished, five-step process to identify and select candidate CDEs that included review of existing National Institute of Neurological Disorders and Stroke CDEs, nomination and systematic vetting of new CDEs, CDE classification, iterative review, and approval of panel recommendations and development of corresponding case review forms.
Results: We identified a slate of existing and newly proposed basic, supplemental, and exploratory CDEs that can be used for behavioral phenotyping of adult and pediatric patients with DoC.
Conclusions: The proposed behavioral phenotyping CDEs will assist with international harmonization of DoC studies and allow for more precise characterization of study cohorts, favorably impacting observational studies and clinical trials aimed at improving outcome in this population.
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http://dx.doi.org/10.1007/s12028-023-01844-9 | DOI Listing |
Mitochondrial DNA A DNA Mapp Seq Anal
September 2025
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Hibernation is an elaborate response strategy employed by numerous mammals to survive in cold conditions that involves active suppression of metabolism. Despite the role of mitochondria as energy metabolism centers during hibernation, the adaptive and evolutionary mechanisms of mitochondrial genes in hibernating animals, like hedgehogs in eulipotyphlan species, are not yet fully understood. In this study, we sequenced and assembled mitochondrial genomes of the hibernating four-toed hedgehog () and the non-hibernating Asian house shrew ().
View Article and Find Full Text PDFCNS Neurosci Ther
September 2025
Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Aims: Sustained neuroinflammation following ischemic stroke impedes post-injury tissue repairment and neurological functional recovery. Developing innovative therapeutic strategies that simultaneously suppress detrimental inflammatory cascades and facilitate neurorestorative processes is critical for improving long-term rehabilitation outcomes.
Methods: We employed a microglia depletion-repopulation paradigm by administering PLX5622 for 7 days post-ischemia; followed by a 7-day withdrawal period to allow microglia repopulation.
Biophys J
September 2025
Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
The interplay between subcellular adhesion dynamics and cellular-scale deformations under shear flow drives key physiological and pathological processes. While both bond kinetics and fluid-cell interactions have been extensively studied in rolling adhesion, how bond characteristics quantitatively determine cellular velocity distributions remains unclear. In this study, we systematically investigate how force-free bond kinetics and intrinsic mechanical properties govern rolling adhesion dynamics, using macroscopic velocity distributions as a reference.
View Article and Find Full Text PDFJ Anim Ecol
September 2025
Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Migration is widespread among animals but varies in its manifestation with differences in direction, distance and obligatory nature. Understanding the evolution of migration requires insight into not only the development of this behaviour but also the loss of it. Partial migration, where some individuals within a population migrate while others stay, provides a unique opportunity to identify the proximate factors determining migratory/resident behaviours.
View Article and Find Full Text PDFBariatric surgery is an effective treatment for morbid obesity, but patient outcomes differ greatly because of a variety of phenotypes, comorbidities, and postoperative adherence. In bariatric care, artificial intelligence (AI) and machine learning (ML) are becoming revolutionary tools because traditional predictive models based on BMI and demographic variables are unable to account for these complexities. To put it simply, AI is a branch of computer science that enables machines to perform tasks that typically require human intelligence.
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