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Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.
Ann Neurol
January 2025
Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.
View Article and Find Full Text PDFDevelopmental screening tools for identification of children with developmental difficulties in high-income countries: a systematic review.
Front Child Adolesc Psychiatry
July 2023
Ingham Institute, Liverpool, NSW, Australia.
Objective: To examine and synthesize the literature on the use of universal developmental screening and surveillance tools in high-income countries in relation to (1) psychometric properties; (2) knowledge, acceptability, and feasibility of tools; and (3) follow-up taken following screening/surveillance.
Method: A PRISMA-compliant systematic review was performed in the PsychInfo, PubMed, and Embase databases. Studies published in the English language were included if they reported results evaluating a universal developmental screening or surveillance measurement tool.
Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancer.
Transl Cancer Res
December 2024
Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Background: The pathological sub-classification of lung cancer is crucial in diagnosis, treatment and prognosis for patients. Quick and timely identification of pathological subtypes from imaging examinations rather than histological tests could help guiding therapeutic strategies. The aim of the study is to construct a non-invasive radiomics-based model for predicting the subtypes of lung cancer on brain metastases (BMs) from multiple magnetic resonance imaging (MRI) sequences.
View Article and Find Full Text PDFCochlear implantation in adults with acquired single-sided deafness improves cortical processing and comprehension of speech presented to the non-implanted ears: a longitudinal EEG study.
Brain Commun
January 2025
Centre for Cognitive Neuroscience, University of Salzburg, 5020 Salzburg, Austria.
Former studies have established that individuals with a cochlear implant (CI) for treating single-sided deafness experience improved speech processing after implantation. However, it is not clear how each ear contributes separately to improve speech perception over time at the behavioural and neural level. In this longitudinal EEG study with four different time points, we measured neural activity in response to various temporally and spectrally degraded spoken words presented monaurally to the CI and non-CI ears (5 left and 5 right ears) in 10 single-sided CI users and 10 age- and sex-matched individuals with normal hearing.
View Article and Find Full Text PDFLiNbO domain structures have been widely applied in nonlinear beam shaping, quantum light generation, and nonvolatile ferroelectric memory. The recent developments in nanoscale domain engineering techniques make it possible to fabricate sub-diffracted nanodomains in LiNbO crystal for high-speed modulation and high-capacity storage. However, it still lacks a feasible and efficient way to characterize these nanoscale domains.
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