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
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% |