Results 151 to 160 of about 254,807 (302)

Graded extent of hippocampal resection is related to neuropsychological outcomes in temporal lobe epilepsy surgery

open access: yesEpilepsia, EarlyView.
Abstract Objective Surgical resection for epilepsy seeks to maximize seizure freedom while minimizing new neurocognitive impairments. Tailored resections guided by anatomoelectroclinical (AEC) hypotheses offer the possibility of sparing parts of the hippocampus.
Eliza M. Reedy   +9 more
wiley   +1 more source

Unstable slow oscillations couple with epileptogenic fast‐rhythm bistability in sleep‐related epilepsy: A stereoelectroencephalographic study

open access: yesEpilepsia, EarlyView.
We examined the functional relationship between large‐scale δ‐band phase synchrony and local epileptogenic β–γ‐band amplitude bistability during NREM sleep. Increased synchrony and strong bistability characterized the epileptogenic zone, with strongest effects during N2 sleep, when seizures most frequently occur.
Gaia Burlando   +14 more
wiley   +1 more source

Compound heterozygous SLC12A5 variants expand the molecular and functional spectrum of KCC2‐developmental and epileptic encephalopathy

open access: yesEpilepsia, EarlyView.
Overview of the multimodal experimental approach integrating clinical, genetic, in silico, and in vitro investigations. Clinical: Representative EEG recording setup and ictal traces from affected patients. Genetic: Pedigrees for Families A and B highlighting the inheritance of the four identified SLC12A5 variants (A1, A2, B1, B2).
Mira Hamze   +19 more
wiley   +1 more source

Quasi‐digital memristor with self‐rectifying and synaptic functions in crossbar array architectures

open access: yesFlexMat, EarlyView.
The text should be different from the abstract text. A self‐rectifying quasi‐digital memristor (QDM) featuring a well‐defined p‐AgI/n‐PbI2 heterojunction is developed. It monolithically integrate diode‐like rectification, digital switching, and analog plasticity.
Tianyu Liu   +11 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

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