Makeig Lab
Principal Investigator: Scott Makeig
Institution: University of California San Diego (La Jolla, CA)
Primary Subfield: Neuroscience
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
Electroencephalography (EEG), the first function brain activity imaging modality, has several natural advantages over metabolic brain imaging modalities. EEG is noninvasive, low-cost, and lightweight enough to be used for recording in lifelike situations. A major shift in scientific perspective on the nature and use of human electrophysiological data is now ongoing, a shift to using EEG data as a source-resolved, relatively high-resolution 3D cortical source imaging modality. The EEGLAB signal processing environment is a readily extensible open-source software project of the Swartz Center for Computational Neuroscience (SCCN) of the University of California, San Diego (UCSD). EEGLAB began as a set of EEG data analysis running on MATLAB (The Mathworks, Inc.), released by Makeig on the World Wide Web in 1997. EEGLAB was first released from SCCN in 2001. Now 21 years later, its reference paper {Delorme, 2004 #1} has over 18,450 citations (increasing by 6.8 per day), its opt-in EEGLAB discussion email list links over 6,000 researchers, its EEGLAB news reaches over 15,000, and an independent 2011 survey of 687 research respondents reported EEGLAB to be the software environment most wide…
Active NIH Awards
- 5R01NS047293-22: EEGLab: Software Analysis of Human Brain Dynamics (2026)
- 2R24MH120037-06A1: BRAIN INITIATIVE RESOURCE: DEVELOPMENT OF A HUMAN NEUROELECTROMAGNETIC DATA ARCHIVE AND TOOLS RESOURCE (NEMAR) (2026)
- 5R01NS047293-21: EEGLab: Software Analysis of Human Brain Dynamics (2025)
- 5R01NS047293-20: EEGLab: Software Analysis of Human Brain Dynamics (2024)
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