M
Maria Angela Franceschini
Researcher at Harvard University
Publications - 254
Citations - 14369
Maria Angela Franceschini is an academic researcher from Harvard University. The author has contributed to research in topics: Cerebral blood flow & Diffuse optical imaging. The author has an hindex of 56, co-authored 230 publications receiving 12608 citations. Previous affiliations of Maria Angela Franceschini include Università telematica San Raffaele & University of L'Aquila.
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Journal ArticleDOI
HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.
TL;DR: The practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data are described within the context of the MATLAB-based graphical user interface program, HomER, which is developed and distributed to facilitate the processing of optical functional brain data.
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A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans
Theodore J. Huppert,Richard D. Hoge,Solomon G. Diamond,Maria Angela Franceschini,David A. Boas +4 more
TL;DR: This study has preformed simultaneous near-infrared spectroscopy (NIRS) along with BOLD and ASL (arterial spin labeling)-based fMRI during an event-related motor activity in human subjects in order to compare the temporal dynamics of the hemodynamic responses recorded in each method.
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Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy.
TL;DR: Advances currently being made and issues to consider for improving optical image quality include the optimal selection of wavelengths to minimize random and systematic error propagation in the calculation of the hemoglobin concentrations.
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Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters.
TL;DR: In this paper, the authors describe four separate sources for systematic error in the calculation of focal hemoglobin changes from NIRS data and use experimental methods and Monte Carlo simulations to examine the importance and mitigation methods of each.
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Possible correlation between blood glucose concentration and the reduced scattering coefficient of tissues in the near infrared
TL;DR: A frequency-domain near-infrared tissue spectrometer capable of measuring the reduced scattering coefficient of tissue with enough precision to detect changes in glucose levels in the physiological and pathological range is designed and constructed.