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Frontiers in Optical Imaging of Cerebral Blood Flow and Metabolism

Overview of attention for article published in Cerebrovascular and Brain Metabolism Reviews, January 2012
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Title
Frontiers in Optical Imaging of Cerebral Blood Flow and Metabolism
Published in
Cerebrovascular and Brain Metabolism Reviews, January 2012
DOI 10.1038/jcbfm.2011.195
Pubmed ID
Authors

Anna Devor, Sava Sakadžić, Vivek J Srinivasan, Mohammad A Yaseen, Krystal Nizar, Payam A Saisan, Peifang Tian, Anders M Dale, Sergei A Vinogradov, Maria Angela Franceschini, David A Boas

Abstract

In vivo optical imaging of cerebral blood flow (CBF) and metabolism did not exist 50 years ago. While point optical fluorescence and absorption measurements of cellular metabolism and hemoglobin concentrations had already been introduced by then, point blood flow measurements appeared only 40 years ago. The advent of digital cameras has significantly advanced two-dimensional optical imaging of neuronal, metabolic, vascular, and hemodynamic signals. More recently, advanced laser sources have enabled a variety of novel three-dimensional high-spatial-resolution imaging approaches. Combined, as we discuss here, these methods are permitting a multifaceted investigation of the local regulation of CBF and metabolism with unprecedented spatial and temporal resolution. Through multimodal combination of these optical techniques with genetic methods of encoding optical reporter and actuator proteins, the future is bright for solving the mysteries of neurometabolic and neurovascular coupling and translating them to clinical utility.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Germany 2 <1%
United Kingdom 2 <1%
France 1 <1%
Israel 1 <1%
Switzerland 1 <1%
China 1 <1%
Colombia 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 262 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 30%
Researcher 62 22%
Student > Master 26 9%
Professor > Associate Professor 21 7%
Student > Postgraduate 17 6%
Other 37 13%
Unknown 33 12%
Readers by discipline Count As %
Engineering 49 17%
Medicine and Dentistry 44 16%
Neuroscience 42 15%
Physics and Astronomy 33 12%
Agricultural and Biological Sciences 27 10%
Other 38 13%
Unknown 49 17%