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Dive into the research topics where Maria Angela Franceschini is active.

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Featured researches published by Maria Angela Franceschini.


Brain Structure & Function | 2016

Layer-specific interhemispheric functional connectivity in the somatosensory cortex of rats: resting state electrophysiology and fMRI studies.

Kwangyeol Baek; Woo Hyun Shim; Jaeseung Jeong; Harsha Radhakrishnan; Bruce R. Rosen; David A. Boas; Maria Angela Franceschini; Bharat B. Biswal; Young R. Kim

The spontaneous cerebral hemodynamic fluctuations observed during the resting state have been frequently visualized using functional magnetic resonance imaging (rsfMRI). However, the neuronal populations and neuroelectric characteristics underlying the functional connectivity of cerebrohemodynamic activities are poorly understood. We investigated the characteristics of bi-hemispheric functional connectivity via electrophysiology and rsfMRI in the primary sensory cortex of rats anesthetized by α-chloralose. Unlike the evoked responses, the spontaneous electrophysiological activity was concentrated in the infragranular layers and could be classified into subtypes with distinctive current sources and sinks. Both neuroelectric and rsfMRI signals were interhemispherically correlated in a layer-specific manner, suggesting that there are independent neural inputs to infragranular and granular/supragranular layers. The majority of spontaneous electrophysiological activities were bilaterally paired with delays of up to ~50xa0ms between each pair. The variable interhemispheric delay implies the involvement of indirect, multi-neural pathways. Our findings demonstrated the diverse activity patterns of layer-specific electrophysiological substrates and suggest the recruitment of multiple, non-specific brain regions in construction of interhemispheric functional connectivity.


Biomedical optics | 2005

A spatial-temporal comparison of fMRI and NIRS hemodynamic responses to motor stimuli in adult humans

Theodore J. Huppert; Richard D. Hoge; Maria Angela Franceschini; David A. Boas

Near infrared spectroscopy (NIRS) has the ability to record, at high temporal resolution, hemodynamic changes within the brain during functional activity. Although alone, NIRS has a poorer spatial resolution compared to other imaging methods such as functional MRI (fMRI), multi-modality approaches, which attempt to fuse the spatial resolution of MRI with the hemoglobin oxygenation information and temporal resolution of NIRS, show promise to yielding better insight into the hemodynamic and metabolic response of the functional brain in future research. However, paramount to the development of these multi-modality approaches, proper control experiments to validate the correlation between NIRS and fMRI methods must be preformed. In this experiment, we have examined the spatial and temporal relationship between the NIRS measure of deoxy-hemoglobin and the fMRI blood oxygen level dependent (BOLD) signal. Here, we have modeled the propagation of light through realistic, tissue segmented, head models for each of five subjects. Using these sensitivity profiles, we predicted the measurement of deoxy-hemoglobin for each individual NIRS source-detector pair from the projection of the volume-wise fMRI BOLD changes, thus allowing a quantitative spatial and temporal comparison between NIRS and fMRI. We report a linear correlation of R = 0.73 (p < 2x10 -8) between the spatial profiles between the NIRS measure of deoxy-hemoglobin and BOLD signal. We also report a temporal correlation of R=0.88 (p<9x10 -18) between the region-of-interest averaged responses using the projected BOLD response.


Archive | 2014

Systems and methods for monitoring brain metabolism and activity using electroencephalogram and optical imaging

Patrick L. Purdon; Emery N. Brown; ShiNung Ching; David A. Boas; Maria Angela Franceschini; Jason Sutin


Archive | 2015

NEAR-INFRARED SPECTROSCOPY AND DIFFUSE CORRELATION SPECTROSCOPY DEVICE AND METHODS

Haruo Nakaji; Maria Angela Franceschini; David A. Boas; Erin Buckley; Pei-Yi Lin; Stefan A. Carp


Brain | 2018

Monitoring Cerebral Blood Flow And Oxygenation During Cardiac Surgery

Parisa Farzam; Stefan A. Carp; Juliette Selb; Parya Farzam; Melissa Wu; Maria Angela Franceschini; Jason Z. Qu


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper JW3A.54 | 2018

Optical Monitoring of Cerebral Hemodynamics in Acute Stroke Patients During Mechanical Thrombectomy

Parisa Farzam; Henrikas Vaitkevicius; Mohammad Ali Aziz-Sultan; Parya Farzam; Alfred P. See; Maria Angela Franceschini; Nirav J. Patel


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper JW3A.41 | 2018

Light Transport Modeling for Accurate Pressure Modulation Calibration of Extra-cerebral Contribution to DCS Cerebral Blood Flow Monitoring in Adult Subjects

Stefan A. Carp; Parisa Farzam; Parya Farzam; Juliette Selb; Jason Z. Qu; Maria Angela Franceschini


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper JTu3A.53 | 2018

Review of Time-domain Diffuse Correlation Spectroscopy: From Theory to Human Subject Studies

Davide Tamborini; Stefan A. Carp; Xiaojun Cheng; Bernhard Zimmermann; Casey Evans; Oleg Shatrovoy; Adrew Siegel; Erik K. Duerr; Megan Blackwell; David A. Boas; Maria Angela Franceschini


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) | 2018

Novel Diffuse Correlation Spectroscopy for Simulations Estimation of Hemoglobin Concentration, Oxygen Saturation, and Blood Flow

Parisa Farzam; Davide Tamborini; Bernhard B. Zimmermann; Kuan C. Wu; David A. Boas; Maria Angela Franceschini


Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) | 2018

Validation of a Novel Wearable Technology to Estimate Oxygen Saturation Level and Lactate Threshold Power in the Exercising Muscle

Parisa Farzam; Zack Starkweather; Maria Angela Franceschini

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