ArticleJournal of neuroscience methods2014
Algorithm to find high density EEG scalp coordinates and analysis of their correspondence to structural and functional regions of the brain.
Article in Journal of neuroscience methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- Robust photogrammetric scalp morphology estimation for functional optical neuroimaging.Neurophotonics · 2025Article
- Cognitive and emotional engagement in negotiation: insights from EEG and fNIRS Hyperscanning.Experimental brain research · 2025Article
- The Functional Signature of Decision Making Across Dyads During a Persuasive Scenario: Hemodynamic fNIRS Coherence Measure.Sensors (Basel, Switzerland) · 2025Article
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- Role of Sex in Shaping Brain Network Organization During Reading in Developmental Dyslexia.Children (Basel, Switzerland) · 2025Article
- Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.Neurophotonics · 2025Article
- Creating anatomically-derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.bioRxiv : the preprint server for biology · 2024Article
- Evaluating prefrontal changes in depression using functional near-infrared spectroscopy utilizing Stroop test: A comparison with healthy controls.Indian journal of psychiatry · 2024Article
- Metacontrol Regulates Creative Thinking: An EEG Complexity Analysis Based on Multiscale Entropy.Brain sciences · 2024Article
- Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures.bioRxiv : the preprint server for biology · 2024Article
- Cortical origin of theta error signals.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing.Sensors (Basel, Switzerland) · 2023Review
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3 authors.
Funding
Abstract
backgroundInterpretation and analysis of electroencephalography (EEG) measurements relies on the correspondence of electrode scalp coordinates to structural and functional regions of the brain. NEW
methodAn algorithm is introduced for automatic calculation of the International 10-20, 10-10, and 10-5 scalp coordinates of EEG electrodes on a boundary element mesh of a human head. The EEG electrode positions are then used to generate parcellation regions of the cerebral cortex based on proximity to the EEG electrodes.
resultsThe scalp electrode calculation method presented in this study effectively and efficiently identifies EEG locations without prior digitization of coordinates. The average of electrode proximity parcellations of the cortex were tabulated with respect to structural and functional regions of the brain in a population of 20 adult subjects. COMPARISON WITH EXISTING
methodsParcellations based on electrode proximity and EEG sensitivity were compared. The parcellation regions based on sensitivity and proximity were found to have 44.0 ± 11.3% agreement when demarcated by the International 10-20, 32.4 ± 12.6% by the 10-10, and 24.7 ± 16.3% by the 10-5 electrode positioning system.
conclusionsThe EEG positioning algorithm is a fast and easy method of locating EEG scalp coordinates without the need for digitized electrode positions. The parcellation method presented summarizes the EEG scalp locations with respect to brain regions without computation of a full EEG forward model solution. The reference table of electrode proximity versus cortical regions may be used by experimenters to select electrodes that correspond to anatomical and functional regions of interest.
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