Toward noninvasive optical human brain mapping: improvements of the spectral, temporal, and spatial resolution of near-infrared spectroscopy

Autor: Qingming Luo, Britton Chance, Rüdiger Wenzel, Hauke R. Heekeren, Hellmuth Obrig, M. Kohl, Arno Villringer, A. M. Dale, J. Ruben, Ulrich Dirnagl, S. Nioka, J. P. Ndayisaba
Rok vydání: 1997
Předmět:
Zdroj: Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II.
ISSN: 0277-786X
DOI: 10.1117/12.280233
Popis: Near-infrared spectroscopy (NIRS) can detect changes in cerebral hemoglobin oxygenation in response to motor, visual or cognitive stimulation. This study explored potential improvements for functional human brain mapping with NIRS: (1) So far, only primary cortical areas, like motor cortex or primary visual areas were studied. We tested the feasibility of identifying an extrastriate visual motion area (MT) with single site NIRS. (2) The temporal resolution of commercial systems is on the order of seconds and their spectral resolution is poor. We tested the feasibility of the detection of cerebral hemoglobin oxygenation changes during visual stimulation at high temporal (100 ms) and spectral resolution (5 nm) using a whole spectrum approach (CCD-NIRS). (3) The spatial resolution of commercial systems is poor. In this study we used a 16 channel functional NIRS-imaging device to test the feasibility of mapping changes in cortical blood volume during visual stimulation (over primary and secondary areas). We show that (1) even conventional single site NIRS allows to identify secondary visual areas, (2) a CCD-NIRS system affords a high temporal (100 ms) and spectral (5 nm) resolution for the detection of changes in cerebral hemoglobin oxygenation during visual stimulation, (3) functional NIRS- imaging can localize focal blood volume changes over both primary and secondary cortical areas.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Databáze: OpenAIRE