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Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis
Functional near-infrared optical topography (OT) is used to non-invasively measure the changes in oxygenated and deoxygenated haemoglobin (Δ[HbO(2)], Δ[HHb]) and hence investigate the brain haemodynamic changes, which occur in response to functional activation at specific regions of the cerebral cor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038015/ https://www.ncbi.nlm.nih.gov/pubmed/21445768 http://dx.doi.org/10.1007/978-1-4419-7756-4_7 |
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author | Patel, Sundeep Katura, Takusige Maki, Atsushi Tachtsidis, Ilias |
author_facet | Patel, Sundeep Katura, Takusige Maki, Atsushi Tachtsidis, Ilias |
author_sort | Patel, Sundeep |
collection | PubMed |
description | Functional near-infrared optical topography (OT) is used to non-invasively measure the changes in oxygenated and deoxygenated haemoglobin (Δ[HbO(2)], Δ[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. |
format | Online Article Text |
id | pubmed-4038015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-40380152014-06-02 Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis Patel, Sundeep Katura, Takusige Maki, Atsushi Tachtsidis, Ilias Adv Exp Med Biol Article Functional near-infrared optical topography (OT) is used to non-invasively measure the changes in oxygenated and deoxygenated haemoglobin (Δ[HbO(2)], Δ[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. Springer 2011 /pmc/articles/PMC4038015/ /pubmed/21445768 http://dx.doi.org/10.1007/978-1-4419-7756-4_7 Text en |
spellingShingle | Article Patel, Sundeep Katura, Takusige Maki, Atsushi Tachtsidis, Ilias Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title | Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title_full | Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title_fullStr | Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title_full_unstemmed | Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title_short | Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
title_sort | quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038015/ https://www.ncbi.nlm.nih.gov/pubmed/21445768 http://dx.doi.org/10.1007/978-1-4419-7756-4_7 |
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