Patel, S;
Katura, T;
Maki, A;
Tachtsidis, I;
(2011)
Quantification of Systemic Interference in Optical Topography Data during Frontal Lobe and Motor Cortex Activation: An Independent Component Analysis.
In: LaManna, JC and Puchowicz, MA and Xu, K and Harrison, DK and Bruley, DF, (eds.)
Oxygen Transport to Tissue XXXII.
(pp. 45 - 51).
Springer Verlag: Berlin/ Heidelberg, Germany.
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Abstract
Functional near-infrared optical topography (OT) is used to non-invasively measure the changes in oxygenated and deoxygenated haemoglobin (Delta[HbO(2)], Delta[HHb]) and hence investigate the brain haemodynamic changes, which occur in response to functional activation at specific regions of the cerebral cortex. However, when analysing functional OT data the task-related systemic changes should be taken into account. Here we used an independent component analysis (ICA) method on the OT [HbO(2)] signal, to determine the task-related independent components and then compared them with the systemic measurements (blood pressure, heart rate, scalp blood flow) to assess whether the components are due to systemic noise or neuronal activation. This analysis can therefore extract the true OT haemodynamic neuronal response and hence discriminate between regional activated cortical areas and global haemodynamic changes.
Type: | Proceedings paper |
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Title: | Quantification of Systemic Interference in Optical Topography Data during Frontal Lobe and Motor Cortex Activation: An Independent Component Analysis |
Event: | 37th Annual Meeting of the International Society on Oxygen Transport to Tissue (ISOTT) |
Location: | Cleveland, OH, US |
Dates: | 5 - 9 July, 2009 |
ISBN-13: | 9781441977557 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-1-4419-7756-4_7 |
Publisher version: | http://dx.doi.org/10.1007/978-1-4419-7756-4_7 |
Language: | English |
Additional information: | © 2011 Springer Verlag. The original publication is available at www.springerlink.com |
Keywords: | Near-infrared spectroscopy, functional activation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/73893 |
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