Assessing interactions in the brain with exact low-resolution electromagnetic tomography

被引：619

作者：

Pascual-Marqui, Roberto D. ^{[1
,2
]}

Lehmann, Dietrich ^{[1
]}

Koukkou, Martha ^{[1
]}

Kochi, Kieko ^{[1
]}

Anderer, Peter ^{[3
]}

Saletu, Bernd ^{[3
]}

Tanaka, Hideaki ^{[4
]}

Hirata, Koichi ^{[4
]}

John, E. Roy ^{[5
,6
]}

Prichep, Leslie ^{[5
,6
]}

Biscay-Lirio, Rolando ^{[7
,8
]}

Kinoshita, Toshihiko ^{[2
]}

机构：

[1] Univ Hosp Psychiat, KEY Inst Brain Mind Res, CH-8032 Zurich, Switzerland

[2] Kansai Med Univ Hosp, Dept Neuropsychiat, Osaka 5708507, Japan

[3] Med Univ Vienna, Dept Psychiat & Psychotherapy, Vienna, Austria

[4] Dokkyo Univ, Sch Med, Dept Neurol, Soka, Tochigi, Japan

[5] NYU, Sch Med, Dept Psychiat, Brain Res Labs, New York, NY 10003 USA

[6] Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA

[7] Inst Cybernet Math & Phys, Havana, Cuba

[8] Univ Valparaiso, Fac Sci, DEUV CIMFAV, Valparaiso, Chile

来源：

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2011年 / 369卷 / 1952期

关键词：

electroencephalogram; low-resolution electromagnetic tomography; functional connectivity; exact low-resolution electromagnetic tomography; MULTIPLE TIME-SERIES; LINEAR-DEPENDENCE; FUNCTIONAL CONNECTIVITY; EEG; INVERSE; MEG; LOCALIZATION; FEEDBACK; POTENTIALS; LORETA;

D O I：

10.1098/rsta.2011.0081

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed current density unleashed by cortical pyramidal neurons undergoing post-synaptic processes. EEG neuroimaging consists of estimating the cortical current density from scalp recordings. We report a solution to this inverse problem that attains exact localization: exact low-resolution brain electromagnetic tomography (eLORETA). This non-invasive method yields high time-resolution intracranial signals that can be used for assessing functional dynamic connectivity in the brain, quantified by coherence and phase synchronization. However, these measures are non-physiologically high because of volume conduction and low spatial resolution. We present a new method to solve this problem by decomposing them into instantaneous and lagged components, with the lagged part having almost pure physiological origin.

引用

页码：3768 / 3784

页数：17

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