Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

SWDreader: a wavelet-based algorithm using spectral phase to characterize spike-wave morphological variation in genetic models of absence epilepsy.

Journal of neuroscience methods - 15 Mar 2015

Richard C D, Tanenbaum A, Audit B, Arneodo A, Khalil A, Frankel W N

Abstract excerpt

BACKGROUND: Spike-wave discharges (SWD) found in neuroelectrical recordings are pathognomonic to absence epilepsy. The characteristic spike-wave morphology of the spike-wave complex (SWC) constituents of SWDs can be mathematically described by a subset of possible spectral power and phase values....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Brain
Share to Disease Models, Animal

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Electroencephalography

Share to Epilepsy, Absence

Share to Mice, Inbred C3H

Share to Mice, Transgenic

Share to Seizures

Source

Open in PubMed Open full text

Identifiers

PMID: 25549550
DOI: 10.1016/j.jneumeth.2014.12.016
PMCID: PMC4331221

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25549550-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

SWDreader: a wavelet-based algorithm using spectral phase to characterize spike-wave morphological variation in genetic models of absence epilepsy.PMID 25549550Read ↗

An automated, machine learning-based detection algorithm for spike-wave discharges (SWDs) in a mouse model of absence epilepsySemantic proximity Read ↗

Heterozygous mutations of the voltage-gated sodium channel SCN8A are associated with spike-wave discharges and absence epilepsy in mice.Semantic proximity Read ↗

Absence seizures and sleep-wake abnormalities in a rat model of <i>GRIN2B</i> neurodevelopmental disorderSemantic proximity Read ↗

Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiersSemantic proximity Read ↗

Extracellular spike waveform analysis reveals cell type-specific changes in the superior colliculus of fragile X miceSemantic proximity Read ↗

Quantitative EEG Spectral Features Differentiate Genetic Epilepsies and Predict Neurologic OutcomesSemantic proximity Read ↗

Electrobehavioral phenotype and seizure pharmacosensitivity in a novel mouse model of patient-derived <i>SLC6A1</i> S295L mutation-associated neurodevelopmental epilepsySemantic proximity Read ↗

Persistent aberrant cortical phase-amplitude coupling following seizure treatment in absence epilepsy models.Semantic proximity Read ↗

Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysisSemantic proximity Read ↗

Abnormal electrophysiological phenotypes and sleep deficits in a mouse model of Angelman Syndrome.Semantic proximity Read ↗

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG SignalsSemantic proximity Read ↗

Abnormal electrophysiological phenotypes and sleep deficits in a mouse model of Angelman SyndromeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.