Article

Phase-coherence classification: a new wavelet-based method to separate local field potentials into local (in)coherent and volume-conducted components

2016-11-04

Abstract excerpt

Local field potentials (LFP) reflect the integrated electrophysiological activity of a large group of neurons. To minimize influence of external activity on the analysis, conventionally bipolar recordings are used to eliminate volume-conducted signals. Here we introduce a novel method, called phase-coherence classification (PCC), to separate LFP in time-frequency domain into a volume-conducted, a local incoherent...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b10d246d-a19b-50fc-b456-a097b8d74321
DOI: 10.1101/085605

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Phase-coherence classification: a new wavelet-based method to separate local field potentials into local (in)coherent and volume-conducted componentsDOI 10.1101/085605Read

Enhancing information extraction from field potentials in electrophysiology studiesSemantic proximity Read

Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson's patientsSemantic proximity Read

Causally validated phase-amplitude coupling enables high-fidelity motor decoding for next-generation brain-computer interfacesSemantic proximity Read

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s diseaseSemantic proximity Read

Self-Supervised Data-Driven Approach Defines Pathological High-Frequency Oscillations in HumanSemantic proximity Read

Cross-frequency phase-amplitude coupling in repetitive movements in patients with Parkinson’s diseaseSemantic proximity Read

Changes in non-oscillatory features of the cortical sensorimotor rhythm in Parkinson's disease across ageSemantic proximity Read

Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter.Semantic proximity Read

Non-linear Auto-Regressive Models for Cross-Frequency Coupling in Neural Time SeriesSemantic proximity Read

Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson’s patientsSemantic proximity Read

Pathological cortico-STN beta coupling in Parkinson’s disease is confined to beta burstsSemantic proximity Read

Changes in non-oscillatory features of the cortical sensorimotor rhythm in Parkinson’s disease across ageSemantic proximity Read