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Updated: Jul 12, 2026

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Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
Published on: May 12, 2014
Dynamic brain sources of visual evoked responses
S Makeig1, M Westerfield, T P Jung
1Computational Neurobiology Laboratory and, The Howard Hughes Medical Institute, The Salk Institute, 10010 North Torrey Pines Road, San Diego, CA 92037, USA. smakeig@ucsd.edu
Summary
Stimulus-induced changes in ongoing brain dynamics, not just direct brain events, generate scalp electrical responses during visual attention tasks. This involves phase resetting of multiple electroencephalographic processes.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Electrophysiology
Background:
- The origin of scalp-recorded electrical responses (event-related potentials) is debated: stimulus-evoked brain events vs. changes in ongoing brain activity.
- Understanding this distinction is crucial for interpreting brain responses during cognitive tasks.
Purpose of the Study:
- To investigate whether scalp-recorded electrical responses during a visual selective attention task arise from stimulus-evoked brain events or stimulus-induced alterations in ongoing brain dynamics.
- To identify the neural sources and characteristics of electroencephalographic (EEG) components contributing to these responses.
Main Methods:
- Utilized a human visual selective attention task.
- Applied Independent Component Analysis (ICA) to single-trial electroencephalographic (EEG) data.
- Analyzed scalp topographies of identified neural components.
Main Results:
- Nontarget event-related potentials were primarily generated by partial stimulus-induced phase resetting of multiple EEG processes.
- ICA identified at least eight classes of contributing components, including alpha, mu, and theta rhythms.
- The scalp topographies of these components indicated generation within compact cortical domains.
Conclusions:
- Scalp electrical responses in this task are largely explained by stimulus-induced phase resetting of ongoing neural oscillations, rather than solely discrete evoked events.
- This finding clarifies the neural mechanisms underlying event-related potentials in visual attention.
- The study highlights the importance of considering ongoing brain dynamics in electrophysiological research.
Keywords:
Non-programmaticRelated Concept Videos
Vision
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Brain Imaging
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

