Understanding of the functional neurobiology of the rodent whisker system would be advanced by neurobehavioral studies in awake, behaving animals that combine unit recording from structures at various levels of the system with quantitative characterization of the kinematics and temporal organization of whisking. Such studies require the solution of a number of methodological problems. These include: chronic recording procedures ensuring unit isolation, stability and maximum yield, monitoring and display of unit activity and whisker movements within the same (ms) timeframe and behavioral paradigms which bring whisking movement parameters under the control of the experimenter rather than the rat. Here we describe a head-fixed rodent preparation which makes possible chronic recording of unit activity in the awake, whisking rat, combined with real-time, high resolution monitoring of whisker and pad movements in two dimensions and under behavioral control. While the head-fixed "whisking" preparation has some inherent limitations, it may be used to address a number of important neurobehavioral problems. We suggest that it should contribute significantly to understanding the functional neurobiology of the whisker system.
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http://dx.doi.org/10.1080/08990220400012430 | DOI Listing |
Foot Ankle Surg
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Neuro-Orthopedic Unit, Orthopaedic Surgery and Traumatology Department, Hospital Infantil Universitario Niño Jesús, Madrid, Spain.
Background: Severe rigid neurologic equinovarus foot (NEVF) deformity, though rare, significantly limits transfers and orthotic use in pediatric patients with neurological disorders. Standard treatments like arthrodesis or talectomy are highly invasive, especially in young patients. This study assesses the mid-term outcomes of a talar neck trapezoidal osteotomy (TNTO) to correct severe NEVF in non-ambulatory patients.
View Article and Find Full Text PDFAust Crit Care
January 2025
Centre for Quality and Patient Safety Research - Eastern Health Partnership, Box Hill, Victoria 3128, Australia; School of Nursing and Midwifery and Centre for Quality and Patient Safety in the Institute for Health Transformation, Deakin University, Geelong, Victoria 3125, Australia.
Background: The pandemic response required the large-scale redeployment of nurses to support the care of patients with COVID-19. Surveys of staff and analysis of staff feedback indicated that the frequent redeployment of intensive care unit (ICU) registered nurses (RNs) led to dissatisfaction and contributed to voluntary reductions in hours and increased intentions to resign. Whilst much is understood about the redeployment of non-ICU RNs into ICUs to support patient care during periods of high demand, less is known about ICU RNs' experiences of being redeployed to general wards.
View Article and Find Full Text PDFMedwave
January 2025
Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile.
This analysis article aimed to identify and analyze all articles published on the post-COVID-19 condition in Latin America and the Caribbean, focusing on epidemiology, clinical characteristics, and risk of bias. We did a systematic survey of the literature with broad inclusion criteria. The only exclusion criteria were articles referring to post-acute COVID-19 sequelae after an intensive care unit stay, which we distinguish from the post-COVID-19 condition.
View Article and Find Full Text PDFJ Int Med Res
January 2025
Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Objective: To evaluate whether there is an association between maternal mental health, purchase of psychotropic drugs, socioeconomic status and major congenital anomalies in offspring.
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Ann Neurol
January 2025
Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.
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