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Ursula Wolf

Researcher at University of Bern

Publications -  157
Citations -  4396

Ursula Wolf is an academic researcher from University of Bern. The author has contributed to research in topics: Medicine & Hemodynamics. The author has an hindex of 28, co-authored 143 publications receiving 3559 citations. Previous affiliations of Ursula Wolf include University of Illinois at Urbana–Champaign & University of Zurich.

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A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

TL;DR: The aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI, and provides an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements.
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Noninvasive determination of the optical properties of adult brain: near-infrared spectroscopy approach.

TL;DR: It is found that as the optode distance increased, the absorption coefficients increased and the scattering coefficients decreased, retrieving the optical values of scalp and brain for shorter and longer optode distances, respectively.
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Different time evolution of oxyhemoglobin and deoxyhemoglobin concentration changes in the visual and motor cortices during functional stimulation: a near-infrared spectroscopy study.

TL;DR: There is evidence that the CMRO(2) increases substantially in the visual cortex, while this is not the case for the motor cortex, and patterns of [O( 2)Hb] and [HHb] differ among cortex areas.
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Detection of fast neuronal signals in the motor cortex from functional near infrared spectroscopy measurements using independent component analysis.

TL;DR: In nine out of 14 subjects, a significant fast neuronal signal related to the finger tapping was found in the intensity signals, and in the phase signals, indications of the fast signal were found in only two subjects.
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Measurement of brain activity by near-infrared light.

TL;DR: These results confirm the cerebral origin of hemodynamic signals measured by optical techniques on the surface of the head, and show how near-IR methods can be used to study the underlying physiology of functional MRI signals.