4.5 Article

Diffuse optical imaging of the whole head

Journal

JOURNAL OF BIOMEDICAL OPTICS
Volume 11, Issue 5, Pages -

Publisher

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.2363365

Keywords

functional brain activation; diffuse optical imaging; optical system

Funding

  1. NCI NIH HHS [T32 CA009502, T32-CA09502, R01 CA097305-04, R01 CA097305, R01 CA097305-03] Funding Source: Medline
  2. NCRR NIH HHS [P41 RR014075-08, P41 RR014075, P41-RR14075] Funding Source: Medline
  3. NIBIB NIH HHS [R01 EB001954, R01-EB001954, R01 EB001954-04A2, R01 EB001954-05, R01 EB002482, R01-EB002482, R01 EB002482-03, R01 EB002482-04] Funding Source: Medline
  4. NICHD NIH HHS [R01 HD042908] Funding Source: Medline

Ask authors/readers for more resources

Near-Infrared Spectroscopy (NIRS) and diffuse optical imaging (DOI) are increasingly used to detect hemodynamic changes in the cerebral cortex induced by brain activity. Until recently, the small number of optodes in NIRS instruments has hampered measurement of optical signals from diverse brain regions. Our new DOI system has 32 detectors and 32 sources; by arranging them in a specific pattern, we can cover most of the adult head. With the increased number of optodes, we can collect optical data from prefrontal, sensorimotor, and visual cortices in both hemispheres simultaneously. We describe the system and report system characterization measurements on phantoms as well as on human subjects at rest and during visual, motor, and cognitive stimulation. Taking advantage of the system's larger number of sources and detectors, we explored the spatiotemporal patterns of physiological signals during rest. These physiological signals, arising from cardiac, respiratory, and blood-pressure modulations, interfere with measurement of the hemodynamic response to brain stimulation. Whole-head optical measurements, in addition to providing maps of multiple brain regions' responses to brain activation, will enable better understandings of the physiological signals, ultimately leading to better signal processing algorithms to distinguish physiological signal clutter from brain activation signals. (c) 2006 Society of Photo- Optical Instrumentation Engineers.

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