Non‐contrast MRI reliably captures perfusion abnormalities in status epilepticus
Abstract Objective To determine whether non‐contrast pseudo‐continuous arterial spin labeling (pCASL) detects status epilepticus (SE)–related perfusion abnormalities and shows quantitative correspondence with dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI), and to compare single‐slice and volumetric approaches for ...
Lukas Machegger +5 more
wiley +1 more source
Editorial: AI-driven plant intelligence: bridging multimodal sensing, adaptive learning, and ecological sustainability in precision plant protection. [PDF]
Lai X, Jin X.
europepmc +1 more source
Abstract Objective Epileptic spasms (ES) in children carry a high risk of neurodevelopmental delay, yet predictors of long‐term surgical outcome remain incompletely defined. This study aimed to evaluate seizure outcomes following epilepsy surgery and to identify independent prognostic factors for postoperative recurrence.
Hua Li +7 more
wiley +1 more source
Visual recognition algorithm for weakly labeled multi-source data fusion of remote sensing images. [PDF]
Qiu Z, Zou J, Liu S, Yang B.
europepmc +1 more source
Abstract EEG‐based connectivity analysis has emerged as a promising approach for investigating brain network dynamics in clinical epilepsy research. However, the diversity of analytical approaches, preprocessing pipelines, and reporting practices poses challenges to reproducibility and clinical translation.
Naoto Kuroda +6 more
wiley +1 more source
Artificial intelligence for sleep-disordered breathing: a taxonomy of methods, data modalities, and clinical applications. [PDF]
Dinh T +6 more
europepmc +1 more source
Prepare, don't scare: Rethinking cognitive readiness before epilepsy surgery
Abstract Epilepsy surgery is an effective but underutilized treatment for drug‐resistant epilepsy, and concerns about postsurgical cognitive change are a prominent barrier. Refinements in surgical technique can reduce cognitive impact, but cognitive change cannot always be avoided, and approaches carrying lower cognitive risk are often less effective ...
Kayela Arrotta +3 more
wiley +1 more source
A Hybrid Multi-Scale Phase-Correlation Framework for Subpixel Registration of Multi-Temporal Very-High-Resolution Remote Sensing Images. [PDF]
Rasmy L, Sebari I, Ettarid M.
europepmc +1 more source
A Review of Automatic Measurement of Learning Engagement Using Body Clues
ABSTRACT Learning engagement is an overarching multifaceted construct that includes behavioral, cognitive, and emotional dimensions. The static subjective measurements may lead to inaccurate results. Considering the authenticity and reliability of body signals, this study investigated the types of body cues used in measuring learning engagement and ...
Qi Xu +5 more
wiley +1 more source
Smart Dressings for Pre-Ulcer Risk Surveillance and Closed-Loop Chronic Wound Management: Advances, Discrepancies, and Translational Horizons. [PDF]
Shou Y +8 more
europepmc +1 more source

