Results 111 to 120 of about 537,490 (272)

Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan, John R. Mills, Paulina Vargas, Naveen K. Paramasivan, Connie E. Lesnick, Eati Basal, Surendra Dasari, James P. Fryer, Shannon R. Hinson, Joseph Laporta, Amy Espinal, Dennis Fitzgerald, Carolina Garcia, Anna E. Morenkova, Paola Pergami, Anna Shah, Andrew Knight, Reghann LaFrance Corey, Vanda A. Lennon, Anastasia Zekeridou, Sean J. Pittock, Divyanshu Dubey, Andrew McKeon   +22 more
wiley   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

A new unified measure for evaluation of randomized response techniques

Heliyon
Randomized response scrambling techniques have been in existence for over fifty years. These scrambling methods are very useful in sample surveys where researchers deal with sensitive variables.
Muhammad Azeem, Abdul Salam, Olayan Albalawi, Sundus Hussain   +3 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique

Revstat Statistical Journal
In this paper, Randomized Response technique (RRT) is used to propose some separate and combined variance estimators for a sensitive variable using stratified random sampling.
Badr Aloraini, Sadia Khalil, Muhammad Nouman Qureshi, Sat Gupta   +3 more
doaj   +1 more source

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

Adaptive strategies in unrelated question randomized response techniques for sensitive data collection

Research in Statistics
When surveys involve sensitive issues-such as gambling habits, drug addiction, alcoholism, tax evasion, induced abortions, drunk driving, criminal history, or homosexuality non-response and response biases frequently occur, as respondents may be ...
Khalid Ul Islam Rather, Osama Abdulaziz Alamri, Tanveer Ahmad Tarry   +2 more
doaj   +1 more source

Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons, Todd Levine, Charles H. Adler, Bailey Bellaire, Ningshan Wang, Pinky Agarwal, Georgina M. Aldridge, Alexandru Barboi, Daniel Claassen, Virgilio G. H. Evidente, Douglas Galasko, Alejandra Gonzalez‐Duarte, Ramon Gil, Mark Gudesblatt, Stuart H. Isaacson, Horacio Kaufmann, Pravin Khemani, Rajeev Kumar, Guillaume Lamotte, Andy J. Liu, Nikolaus R. McFarland, Mitchell G. Miglis, Adam Reynolds, Gregory A. Sahagian, Marie‐Helene Saint‐Hilaire, Julie B. Schwartzbard, Wolfgang Singer, Michael J. Soileau, Steven Vernino, Patricio Millar Vernetti, Oleg Yerstein, Roy Freeman   +31 more
wiley   +1 more source