Mapping distributed brain function and networks with diffuse optical tomography
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 30647959
- Type
- D - Journal article
- DOI
-
10.1038/nphoton.2014.107
- Title of journal
- Nature Photonics
- Article number
- -
- First page
- 448
- Volume
- 8
- Issue
- 6
- ISSN
- 1749-4885
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
7
- Research group(s)
-
-
- Citation count
- 237
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The technique of functional connectivity mapping using optical techniques has gained overwhelming popularity over the last 5 years for understanding human brain health. This paper introduces and validates a unique approach for measuring, modelling, and reconstructing brain activation maps from non-invasive optical data, now widely implemented by other groups.
Our software NIRFAST (200+ users worldwide) implements this computational model-based parameter recovery algorithm, and is being used in international studies, over a large spectrum of disciplines (psychology, trauma, aging, and infant development studies). The work has led to an EU funded project directed by Birmingham (http://www.bitmap-itn.eu/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
