Low-resolution mapping of the effective attenuation coefficient of the human head: a multidistance approach applied to high-density optical recordings Article Swipe
Antonio Maria Chiarelli
,
Edward L. Maclin
,
Kathy A. Low
,
Sergio Fantini
,
Monica Fabiani
,
Gabriele Gratton
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1117/1.nph.4.2.021103
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1117/1.nph.4.2.021103
Near infrared (NIR) light has been widely used for measuring changes in hemoglobin concentration in the human brain (functional NIR spectroscopy, fNIRS). fNIRS is based on the differential measurement and estimation of absorption perturbations, which, in turn, are based on correctly estimating the absolute parameters of light propagation. To do so, it is essential to accurately characterize the baseline optical properties of tissue (absorption and reduced scattering coefficients). However, because of the diffusive properties of the medium, separate determination of absorption and scattering across the head is challenging. The effective attenuation coefficient (EAC), which is proportional to the geometric mean of absorption and reduced scattering coefficients, can be estimated in a simpler fashion by multidistance light decay measurements. EAC mapping could be of interest for the scientific community because of its absolute information content, and because light propagation is governed by the EAC for source-detector distances exceeding 1 cm, which sense depths extending beyond the scalp and skull layers. Here, we report an EAC mapping procedure that can be applied to standard fNIRS recordings, yielding topographic maps with 2- to 3-cm resolution. Application to human data indicates the importance of venous sinuses in determining regional EAC variations, a factor often overlooked.
Related Topics
Concepts
Functional near-infrared spectroscopy
Attenuation coefficient
Attenuation
Optics
Absorption (acoustics)
Human head
Scattering
Materials science
Near-infrared spectroscopy
Physics
Computer science
Neuroscience
Biology
Prefrontal cortex
Cognition
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1117/1.nph.4.2.021103
- https://www.spiedigitallibrary.org/journals/Neurophotonics/volume-4/issue-2/021103/Low-resolution-mapping-of-the-effective-attenuation-coefficient-of-the/10.1117/1.NPh.4.2.021103.pdf
- OA Status
- bronze
- Cited By
- 15
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2606617311
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2606617311Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1117/1.nph.4.2.021103Digital Object Identifier
- Title
-
Low-resolution mapping of the effective attenuation coefficient of the human head: a multidistance approach applied to high-density optical recordingsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-04-21Full publication date if available
- Authors
-
Antonio Maria Chiarelli, Edward L. Maclin, Kathy A. Low, Sergio Fantini, Monica Fabiani, Gabriele GrattonList of authors in order
- Landing page
-
https://doi.org/10.1117/1.nph.4.2.021103Publisher landing page
- PDF URL
-
https://www.spiedigitallibrary.org/journals/Neurophotonics/volume-4/issue-2/021103/Low-resolution-mapping-of-the-effective-attenuation-coefficient-of-the/10.1117/1.NPh.4.2.021103.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://www.spiedigitallibrary.org/journals/Neurophotonics/volume-4/issue-2/021103/Low-resolution-mapping-of-the-effective-attenuation-coefficient-of-the/10.1117/1.NPh.4.2.021103.pdfDirect OA link when available
- Concepts
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Functional near-infrared spectroscopy, Attenuation coefficient, Attenuation, Optics, Absorption (acoustics), Human head, Scattering, Materials science, Near-infrared spectroscopy, Physics, Computer science, Neuroscience, Biology, Prefrontal cortex, CognitionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1, 2023: 1, 2021: 1, 2020: 3Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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