June 27th, 2013
•Neuroimaging researchers typically consider the brain's response as the mean activity across repeated experimental trials and disregard signal variability over time as "noise". However, it is becoming clear that there is signal in that noise. This article describes the novel method of multiscale entropy for quantifying brain signal variability in the time domain.
Related Videos
High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
Basics of Multivariate Analysis in Neuroimaging Data
High Sensitivity 5-hydroxymethylcytosine Detection in Balb/C Brain Tissue
Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
Somatosensory Event-related Potentials from Orofacial Skin Stretch Stimulation
Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement
Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners
Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy (NIRS) Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
Copyright © 2024 MyJoVE Corporation. 판권 소유