Results 151 to 160 of about 5,393,263 (368)

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker, Abhijit Das, Andres Jimenez, Areeba Basit, Yike Jiang, Emily A. Smitherman, Heather Van Mater, Taylor Howard, Alexander J. Sandweiss, Kristen S. Fisher   +9 more
wiley   +1 more source

Attitudes and perceptions towards developing a health educational video to enhance optimal uptake of malaria preventive therapy among pregnant women in Uganda: a qualitative study involving pregnant women, health workers, and Ministry of health officials

BMC Health Services Research
Background Malaria in pregnancy remains a major global public health problem. Intermittent prophylaxis treatment of malaria in pregnancy with Sulphadoxine-pyrimethamine and co-trimoxazole is efficacious for prevention of malaria in pregnancy HIV negative
Rita Nakalega, Ruth Nabisere-Arinaitwe, Nelson Mukiza, Cynthia Ndikuno Kuteesa, Denis Mawanda, Paul Natureeba, Ronnie Kasirye, Clemensia Nakabiito, Jane Nabakooza, Emmie Mulumba, Josephine Nabukeera, Joseph Ggita, Abel Kakuru, Lynn Atuyambe, Philippa Musoke, Mary Glenn Fowler, Zubair Lukyamuzi   +16 more
doaj   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

Quantitative analysis of international collaboration on COVID-19: Indian perspective

, 2020

openalex   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Nurse Practitioner and Physician Collaboration in Long-Term Care Homes: Survey Results

, 2009
Faith Donald, E. Ann Mohide, Alba DiCenso, Kevin Brazil, Michael Stephenson, Noori Akhtar‐Danesh   +5 more
openalex   +2 more sources

Machine collaboration

Stat
We propose a new ensemble framework for supervised learning, called machine collaboration (MaC), using a collection of possibly heterogeneous base learning methods (hereafter, base machines) for prediction tasks.
Qingfeng Liu, Yang Feng
openaire   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Multi-system benefits of non-invasive spinal cord stimulation following cervical spinal cord injury: a case study

Bioelectronic Medicine
Cervical spinal cord injury (SCI) impairs sensorimotor and autonomic functions. We investigated the effects of lumbosacral transcutaneous spinal cord stimulation (tSCS) on urinary bladder, bowel, and sexual function as well as cardiovascular and ...
Soshi Samejima, Claire Shackleton, Raza N. Malik, Ali Hosseinzadeh, Lucas Rempel, Anh-Duong Phan, Alison Williams, Tom Nightingale, Amandeep Ghuman, Stacy Elliott, Matthias Walter, Klaus Krogh, Michael Berger, Tania Lam, Rahul Sachdeva, Andrei V. Krassioukov   +15 more
doaj   +1 more source