Results 51 to 60 of about 187,200 (297)

Neuropsychiatric performance and treatment of hepatitis C with direct-acting antivirals: a prospective study [PDF]

open access: yes, 2017
Background: Since direct-acting antivirals (DAAs) have been approved for the treatment of hepatitis C virus (HCV) infection, a small series of patients with new-onset neuropsychiatric alterations have been referred to us.
Amodio, Piero   +11 more
core   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer   +11 more
wiley   +1 more source

Transition from Subdural Electrocorticography to Stereo-electroencephalography in Presurgical Evaluation of Epilepsy: Single-institutional Experience

open access: yesNeurologia Medico-Chirurgica
Stereo-electroencephalography has recently gained attention as a less invasive and effective technique for presurgical evaluation in patients with drug-resistant epilepsy.
Yosuke OKAZAKI   +6 more
doaj   +1 more source

Inverse Modeling for MEG/EEG data

open access: yes, 2017
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet   +40 more
core   +1 more source

CAR T‐Cell Therapy in Neurology: A Scoping Review of Neuro‐Oncology, Autoimmune Diseases & Neurotoxicity

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapy has been investigated in neurological diseases, encompassing both central nervous system malignancies and autoimmune disorders, thereby extending its application beyond hematological cancers.
Omar Alqaisi   +5 more
wiley   +1 more source

Is it necessary to measure all brain regions for the assessment of PAF? [PDF]

open access: yes, 2017
From decades of research, electroencephalography (EEG) has been proved as a potential non-invasive medical technique to measure the electrophysiological activities of brain.
Bhatia, Divya   +2 more
core  

Guidelines for the recording and evaluation of pharmaco-EEG data in man: the International Pharmaco-EEG Society (IPEG) [PDF]

open access: yes, 2012
The International Pharmaco-EEG Society (IPEG) presents updated guidelines summarising the requirements for the recording and computerised evaluation of pharmaco-EEG data in man.
BABILONI, CLAUDIO   +24 more
core   +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan   +12 more
wiley   +1 more source

Speech to noise ratio improvement induces nonlinear parietal phase synchrony in hearing aid users

open access: yesFrontiers in Neuroscience, 2022
ObjectivesComprehension of speech in adverse listening conditions is challenging for hearing-impaired (HI) individuals. Noise reduction (NR) schemes in hearing aids (HAs) have demonstrated the capability to help HI to overcome these challenges.
Payam Shahsavari Baboukani   +5 more
doaj   +1 more source

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

open access: yes, 2019
Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applying natural language processing pipelines to text reports associated with ...
Dunnmon, Jared   +10 more
core   +1 more source

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