Results 141 to 150 of about 1,150,244 (261)

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

A Regularized MANOVA Test for Semicontinuous High-Dimensional Data. [PDF]

Biom J
Sabbioni E, Agostinelli C, Farcomeni A.
europepmc   +1 more source

LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data. [PDF]

Bioinform Adv, 2023
Chen CY, Löber U, Forslund SK.
europepmc   +1 more source

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis. [PDF]

Sci Rep
Manhrawy IIM, Fathi H, Alsekait DM, Altawil A, Kelany AK.   +4 more
europepmc   +1 more source

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. [PDF]

Adv Neural Inf Process Syst, 2022
Bhaskar D, MacDonald K, Fasina O, Thomas D, Rieck B, Adelstein I, Krishnaswamy S.   +6 more
europepmc   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

An improved robust algorithms for fisher discriminant model with high dimensional data. [PDF]

PLoS One
Ma S, Duan Y.
europepmc   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema. [PDF]

Sci Rep
Salhi A, Alshamrani R, Althbiti A, Ismail A, Abd-ElRahman M, Hassan BM.   +5 more
europepmc   +1 more source