Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

804
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
804
Steps in the Modeling Process01:14

Steps in the Modeling Process

683
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
683
The Auditory Ossicles01:11

The Auditory Ossicles

3.2K
The auditory ossicles of the middle ear transmit sounds from the air as vibrations to the fluid-filled cochlea. The auditory ossicles consist of two malleus (hammer) bones, two incus (anvil) bones, and two stapes (stirrups), one on each side. These bones develop during the fetal stage and are the ones to ossify first. They are fully mature at birth and do not grow afterward.
The aptly named stapes look very much like a stirrup. The three ossicles are unique to mammals, and each plays a role in...
3.2K
Auditory Perception01:17

Auditory Perception

1.1K
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
1.1K
Auditory Pathway01:15

Auditory Pathway

7.4K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
7.4K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

279
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
279

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dataset of audiovisual unscripted monologues with speech annotations.

Data in brief·2026
Same author

Exploring fNIRS-guided neurofeedback for supplementary motor area training in Parkinson's disease and healthy older adults.

NPJ Parkinson's disease·2026
Same author

The effects of dual-tasking while walking naturally and on a treadmill.

Acta psychologica·2026
Same author

Hearing and cognition across the menopause transition.

Trends in cognitive sciences·2026
Same author

Not just heard, but judged: a multidimensional perspective on auditory attention in everyday life.

Frontiers in neuroergonomics·2026
Same author

Differential effects of external noise and situational interest on neurophysiological responses during video based learning.

NPJ science of learning·2025
Same journal

Relationship between spontaneous EEG oscillations at 7 and 45 days of acute plateau exposure and the plateau acclimatization index.

Frontiers in neuroscience·2026
Same journal

Neuroprotective effects of paederoside against mitochondrial dysfunction in rotenone-induced cell models of Parkinson's disease.

Frontiers in neuroscience·2026
Same journal

Covariance-based analysis of spindle-band EEG during declarative and non-declarative odor cueing in sleep.

Frontiers in neuroscience·2026
Same journal

Correction: Physiological determinants of cortical P100 responses in pattern visual evoked potentials: a scoping review.

Frontiers in neuroscience·2026
Same journal

Transcranial magnetic stimulation and motor overflow: a systematic review in neurological disorders.

Frontiers in neuroscience·2026
Same journal

Editorial: Advancing neurodegenerative disease biomarkers: the role of neuroimaging in TDP-43 and tau proteinopathies.

Frontiers in neuroscience·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.2K

Source-Modeling Auditory Processes of EEG Data Using EEGLAB and Brainstorm.

Maren Stropahl1, Anna-Katharina R Bauer1, Stefan Debener1,2

  • 1Neuropsychology Lab, Department of Psychology, European Medical School, University of Oldenburg, Oldenburg, Germany.

Frontiers in Neuroscience
|June 6, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a streamlined pipeline for electroencephalography (EEG) source localization using EEGLAB and Brainstorm. The method effectively estimates auditory cortex activity without individual anatomical data, offering a reproducible approach for EEG analysis.

Keywords:
BrainstormEEGEEGLABauditory N100auditory processingsource localization

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

22.0K
Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

15.9K

Related Experiment Videos

Last Updated: Feb 9, 2026

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.2K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

22.0K
Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

15.9K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Signal Processing

Background:

  • Scalp electroencephalography (EEG) source localization is crucial for spatial analysis but lacks standardized, reproducible methods.
  • Existing approaches vary significantly, are parameter-dependent, and may yield unreliable results.
  • A unified, accessible pipeline is needed to improve the validity and interpretability of EEG source estimation.

Purpose of the Study:

  • To introduce and validate a comprehensive EEG source estimation pipeline integrating EEGLAB and Brainstorm.
  • To demonstrate artifact attenuation using Independent Component Analysis (ICA) and CORRMAP.
  • To perform source-level analysis for auditory attention tasks without individual anatomical data.

Main Methods:

  • Advanced EEG pre-processing in EEGLAB, including ICA for artifact removal and CORRMAP for component identification.
  • Source estimation using Brainstorm with the default ICBM152 anatomy and OpenMEEG for forward modeling.
  • Dynamical statistical parametric mapping (dSPM) for physiologically plausible source estimates.
  • Group-level analysis in the time domain on anatomically defined regions of interest.

Main Results:

  • Successfully applied a pre-processing and source estimation pipeline to 64-channel EEG data from 10 participants.
  • Demonstrated effective artifact attenuation and source localization for auditory event-related processing.
  • Achieved physiologically plausible source estimates without requiring individual anatomical data or sensor digitization.

Conclusions:

  • The proposed EEGLAB-Brainstorm pipeline offers a robust and accessible method for EEG source localization.
  • This approach facilitates reproducible analysis of auditory cortex activity, even without individual anatomical data.
  • The pipeline provides a valuable tool for researchers in EEG source analysis, adaptable to various datasets and paradigms.