scholarly journals Mapping the human brain at rest with diffuse optical tomography

Author(s):  
B.R. White ◽  
A.Z. Snyder ◽  
A.L. Cohen ◽  
S.E. Petersen ◽  
M.E. Raichle ◽  
...  
2016 ◽  
Vol 7 (10) ◽  
pp. 4275 ◽  
Author(s):  
Danial Chitnis ◽  
Robert J. Cooper ◽  
Laura Dempsey ◽  
Samuel Powell ◽  
Simone Quaggia ◽  
...  

2019 ◽  
Vol 90 (5) ◽  
pp. 051101 ◽  
Author(s):  
Muriah D. Wheelock ◽  
Joseph P. Culver ◽  
Adam T. Eggebrecht

Author(s):  
Xue Wu ◽  
Adam T. Eggebrecht ◽  
Silvina L Ferradal ◽  
Joseph P. Culver ◽  
Hamid Dehghani

NeuroImage ◽  
2009 ◽  
Vol 47 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Brian R. White ◽  
Abraham Z. Snyder ◽  
Alexander L. Cohen ◽  
Steven E. Petersen ◽  
Marcus E. Raichle ◽  
...  

2005 ◽  
Vol 44 (No. 38) ◽  
pp. L1203-L1206 ◽  
Author(s):  
Yukio Ueda ◽  
Takeshi Yamanaka ◽  
Daisuke Yamashita ◽  
Toshihiko Suzuki ◽  
Etsuko Ohmae ◽  
...  

2020 ◽  
Vol 6 (4) ◽  
pp. 289-305
Author(s):  
Estefania Hernandez-Martin ◽  
José Luis Gonzalez-Mora

The present work describes the use of noninvasive diffuse optical tomography (DOT) technology to measure hemodynamic changes, providing relevant information which helps to understand the basis of neurophysiology in the human brain. Advantages such as portability, direct measurements of hemoglobin state, temporal resolution, non‐restricted movements as occurs in magnetic resonance imaging (MRI) devices mean that DOT technology can be used in research and clinical fields. In this review we covered the neurophysiology, physical principles underlying optical imaging during tissue‐light interactions, and technology commonly used during the construction of a DOT device including the source‐detector requirements to improve the image quality. DOT provides 3D cerebral activation images due to complex mathematical models which describe the light propagation inside the tissue head. Moreover, we describe briefly the use of Bayesian methods for raw DOT data filtering as an alternative to linear filters widely used in signal processing, avoiding common problems such as the filter selection or a false interpretation of the results which is sometimes due to the interference of background physiological noise with neural activity.


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