JOURNAL ARTICLE

Brain Electrical Tomography Using Algebraic Reconstruction Techniques

Errikos-Chaim VentourasCharalabos PapageorgiouAndreas D. RabavilasN.K. UzunogluC. Stefanis

Year: 1999 Journal:   Biotechnology & Biotechnological Equipment Vol: 13 (2)Pages: 113-118   Publisher: Taylor & Francis

Abstract

The localization of the intracranial neural sources of the scalp recorded electroencephalographic (EEG) signals is a major research filed during the last two decades. Evoked Potentials (EPs) are EEG signals produced when external stimuli are presented to subjects. A novel tomographic technique is presented, based on the solution of the inverse electromagnetic problem, using Algebraic Reconstruction Techniques. The electrical activity of the brain is depicted in consecutive projection maps with a resolution of up to 1msec. Results of clinical applications of the method to EP measurements in a group of psychiatric patient and normal controls are presented.

Keywords:
Electroencephalography Inverse problem Scalp Projection (relational algebra) Tomography Algebraic number Neural activity Neuroscience Brain activity and meditation Algebraic Reconstruction Technique Biomedical engineering Computer science Artificial intelligence Computer vision Medical physics Iterative reconstruction Medicine Mathematics Algorithm Psychology Radiology Anatomy Mathematical analysis

Metrics

9
Cited By
0.50
FWCI (Field Weighted Citation Impact)
27
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural dynamics and brain function
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Functional Brain Connectivity Studies
Life Sciences →  Neuroscience →  Cognitive Neuroscience
EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
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