Impact of Renal Replacement Therapy on Outcomes of Living Donor Liver Transplantation for Acute Liver Failure: A Cohort Study.

Despite the promising role of renal replacement therapy (RRT) in acute liver failure (ALF), high-risk patients need liver transplantation and remain at risk for death due to cerebral complications. The objective of this study was to report outcomes of living donor liver transplantation (LDLT) for ALF with perioperative RRT. This was a single-center retrospective cohort study.

Treatment of high-energy intra-articular fractures of tibia with Ilizarov external fixator in adults: A tertiary centre experience.

Objective: To evaluate the clinical and radiological outcomes of the Ilizarov fixator in the proximal and distal fractures of the tibia.

Materials And Methodology: This retrospective study reviewed 59 patients having high-energy intra-articular proximal and distal tibia fractures associated with severe soft-tissue injury, who were managed surgically with an Ilizarov fixator. The functional outcome was evaluated by using the American Orthopaedic Foot and Ankle Society scoring system (AOFAS) and the Association for the Study and Application of the Method of Ilizarov (ASAMI) Italy scoring system for tibial plateau and plafond fractures respectively.

Orthogonalizing the Activity of Two Neural Units for 2D Cursor Movement Control.

In the design of brain-machine interface (BMI), as the number of electrodes used to collect neural spike signals declines slowly, it is important to be able to decode with fewer units. We tried to train a monkey to control a cursor to perform a two-dimensional (2D) center-out task smoothly with spiking activities only from two units (direct units). At the same time, we studied how the direct units did change their tuning to the preferred direction during BMI training and tried to explore the underlying mechanism of how the monkey learned to control the cursor with their neural signals.

Burnout Among Orthopedic Surgeons and Residents in Pakistan.

Objective Burnout is exceptionally pervasive among medical professionals, especially surgeons, and is considered the main indicator of surgeons' fulfillment with career choice. Our objectives are to discover the extent of orthopedic specialist burnout in Pakistan and to explore the clinical impact of burnout. The efficacy of surgeons may be enhanced by implementing burnout prevention and treatment plans.

Separation of Subcutaneous Fat From Muscle in Surface Electrical Impedance Myography Measurements Using Model Component Analysis.

Objective: Electrical impedance myography (EIM) is a relatively new technique to assess neuromuscular disorders (NMD). Although the application of EIM using surface electrodes (sEIM) has been adopted by the neurology community in recent years to evaluate NMD status, sEIM's sensitivity as a biomarker of skeletal muscle condition is impacted by subcutaneous fat (SF) tissue. Here, we develop a method that is able to remove the contribution of SF from sEIM data.

Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem.

Objective: Electroencephalography (EEG) and magnetoencephalography noninvasively record scalp electromagnetic fields generated by cerebral currents, revealing millisecond-level brain dynamics useful for neuroscience and clinical applications. Estimating the currents that generate these fields, i.e.

Modulation depth estimation and variable selection in state-space models for neural interfaces.

Rapid developments in neural interface technology are making it possible to record increasingly large signal sets of neural activity. Various factors such as asymmetrical information distribution and across-channel redundancy may, however, limit the benefit of high-dimensional signal sets, and the increased computational complexity may not yield corresponding improvement in system performance. High-dimensional system models may also lead to overfitting and lack of generalizability.

Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex.

Objective: Action potentials and local field potentials (LFPs) recorded in primary motor cortex contain information about the direction of movement. LFPs are assumed to be more robust to signal instabilities than action potentials, which makes LFPs, along with action potentials, a promising signal source for brain-computer interface applications. Still, relatively little research has directly compared the utility of LFPs to action potentials in decoding movement direction in human motor cortex.

Intra-day signal instabilities affect decoding performance in an intracortical neural interface system.

Objective: Motor neural interface systems (NIS) aim to convert neural signals into motor prosthetic or assistive device control, allowing people with paralysis to regain movement or control over their immediate environment. Effector or prosthetic control can degrade if the relationship between recorded neural signals and intended motor behavior changes. Therefore, characterizing both biological and technological sources of signal variability is important for a reliable NIS.

Localized stimulation and recording in the spinal cord with microelectrode arrays.

The use of microelectrodes for both recording and stimulation of cortical tissue is a well-established technique in neuroscience. We demonstrate that the use of existing microelectrode arrays and instrumentation can be extended to studying the spinal cord. We show that microelectrode arrays can be used to perform stimulation and recording in the corticospinal tract of an animal model commonly used in spinal cord injury (SCI) research.

Functional biases in visual cortex neurons with identified projections to higher cortical targets.

Background: Visual perception involves information flow from lower- to higher-order cortical areas, which are known to process different kinds of information. How does this functional specialization arise? As a step toward addressing this question, we combined fluorescent retrograde tracing with in vivo two-photon calcium imaging to simultaneously compare the tuning properties of neighboring neurons in areas 17 and 18 of ferret visual cortex that have different higher cortical projection targets.

Results: Neurons projecting to the posterior suprasylvian sulcus (PSS) were more direction selective and preferred shorter stimuli, higher spatial frequencies, and higher temporal frequencies than neurons projecting to area 21, anticipating key differences between the functional properties of the target areas themselves.

Modeling two-photon calcium fluorescence of episodic V1 recordings using multifrequency analysis.

The use of two-photon microscopy allows for imaging of deep neural tissue in vivo. This paper examines frequency-based analysis to two-photon calcium fluorescence images with the goal of deriving smooth tuning curves. We present a multifrequency analysis approach for improved extraction of calcium responses in episodic stimulation experiments, that is, when the stimulus is applied for a number of frames, then turned off for the next few frames, and so on.

Denoising two-photon calcium imaging data.

Two-photon calcium imaging is now an important tool for in vivo imaging of biological systems. By enabling neuronal population imaging with subcellular resolution, this modality offers an approach for gaining a fundamental understanding of brain anatomy and physiology. Proper analysis of calcium imaging data requires denoising, that is separating the signal from complex physiological noise.

Efficient decoding with steady-state Kalman filter in neural interface systems.

The Kalman filter is commonly used in neural interface systems to decode neural activity and estimate the desired movement kinematics. We analyze a low-complexity Kalman filter implementation in which the filter gain is approximated by its steady-state form, computed offline before real-time decoding commences. We evaluate its performance using human motor cortical spike train data obtained from an intracortical recording array as part of an ongoing pilot clinical trial.

Outcome of 'basic life support training' in a busy district general hospital.

Background: In view of the recently increasing terrorist attacks, hospitals have to devote an increased attention to Disaster Management. An effective way to do this is by preparing disaster plans and training 'hospital staff response team'. Most of the District General Hospitals (DGH) act as first point of contact in emergency.

A statistical model for multiphoton calcium imaging of the brain.

Multiphoton calcium fluorescence imaging has gained prominence as a valuable tool for the study of brain cells, but the corresponding analytical regimes remain rather naive. In this paper, we develop a statistical framework that facilitates principled quantitative analysis of multiphoton images. The proposed methods discriminate the stimulus-evoked response of a neuron from the background firing and image artifacts.