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

Measurement: Standard Units03:38

Measurement: Standard Units

78.5K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
78.5K
Standard Enthalpy of Formation02:37

Standard Enthalpy of Formation

49.0K
Enthalpy changes are typically tabulated for reactions in which both the reactants and products are at the same conditions. A standard state is a commonly accepted set of conditions used as a reference point for the determination of properties under other different conditions. For chemists, the IUPAC standard state refers to materials under a pressure of 1 bar and solutions at 1 M and does not specify a temperature. Many thermochemical tables list values with a standard state of 1 atm. Because...
49.0K
Standard Electrode Potentials03:02

Standard Electrode Potentials

50.0K
On comparing the reactivity of silver and lead, it is observed that the two ionic species, Ag+ (aq) and Pb2+ (aq), show a difference in their redox reactivity towards copper: the silver ion undergoes spontaneous reduction, while the lead ion does not. This relative redox activity can be easily quantified in electrochemical cells by a property called cell potential. This property is commonly known as cell voltage in electrochemistry, and it is a measure of the energy which accompanies the charge...
50.0K
Calculating Standard Free Energy Changes02:49

Calculating Standard Free Energy Changes

24.7K
The free energy change for a reaction that occurs under the standard conditions of 1 bar pressure and at 298 K is called the standard free energy change. Since free energy is a state function, its value depends only on the conditions of the initial and final states of the system. A convenient and common approach to the calculation of free energy changes for physical and chemical reactions is by use of widely available compilations of standard state thermodynamic data. One method involves the...
24.7K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.0K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

43.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.0K

You might also read

Related Articles

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

Sort by
Same author

Contralateral delay activity as a marker of visual working memory capacity: A multi-site registered replication.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

The influence of sample size and covariate distributions on neuroanatomical normative modeling.

eLife·2026
Same author

Toward dimensional psychiatry in youth: A data-driven analysis of transdiagnostic internalizing symptoms in childhood and adolescence.

PLOS mental health·2026
Same author

Impact of aging on theta-gamma phase-amplitude coupling during learning: A multivariate analysis.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

Predicting Continuous Cognitive Decline: The Generalizability of a Multimodal Machine Learning Approach Including Structural MRI and Non-Brain Data.

medRxiv : the preprint server for health sciences·2026
Same author

Towards a speech-based digital biomarker for cognitive impairment: speech as a proxy for cognitive assessment.

NPJ digital medicine·2026
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing
06:51

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing

Published on: June 6, 2025

943

Automagic: Standardized preprocessing of big EEG data.

Andreas Pedroni1, Amirreza Bahreini1, Nicolas Langer2

  • 1Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland.

Neuroimage
|June 25, 2019
PubMed
Summary
This summary is machine-generated.

Automagic software offers objective quality assessment for electroencephalography (EEG) data, addressing artifact contamination in large-scale studies. This open-source MATLAB toolbox improves data sharing and replicability by standardizing preprocessing.

Keywords:
ArtifactsBIDSEEGPreprocessingQuality control

More Related Videos

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.3K

Related Experiment Videos

Last Updated: Jan 23, 2026

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing
06:51

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing

Published on: June 6, 2025

943
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.3K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Data Science

Background:

  • Electroencephalography (EEG) data is rich in information but rarely used in large-scale studies due to significant artifact contamination.
  • Current preprocessing methods for EEG lack objective quality assessment, leading to subjective data exclusion and reduced research replicability.
  • Large-scale studies require robust software for managing and preprocessing dynamically growing EEG datasets collected over extended periods.

Purpose of the Study:

  • To introduce Automagic, an open-source MATLAB toolbox designed to standardize EEG preprocessing and provide objective quality assessment.
  • To address challenges in large-scale EEG studies, including artifact contamination, inter-subject variability, and data management.
  • To facilitate data sharing and improve the replicability of EEG research through BIDS compatibility.

Main Methods:

  • Developed Automagic, a MATLAB toolbox functioning as a wrapper for existing EEG preprocessing methods.
  • Integrated objective, standardized quality assessment metrics within the Automagic framework.
  • Ensured compatibility with the Brain Imaging Data Structure (BIDS) standard for enhanced data sharing.

Main Results:

  • Automagic provides objective quality assessment for preprocessed EEG data, mitigating subjectivity in artifact handling.
  • The toolbox supports the management of ongoing and growing EEG studies, crucial for longitudinal research.
  • Applying a pipeline combining artifact detection algorithms with MARA (Multiple Artifact Rejection Algorithm) effectively reduced artifacts in resting and task-based EEG data.

Conclusions:

  • Automagic offers a standardized and objective approach to EEG preprocessing and quality control, enhancing data reliability.
  • The software facilitates data sharing and improves the replicability of findings in large-scale EEG research.
  • The developed pipeline, incorporating MARA, demonstrates significant potential in reducing EEG artifacts for cleaner data analysis.