Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain

2003 ◽  
Vol 21 (7) ◽  
pp. 803-806 ◽  
Author(s):  
Xueding Wang ◽  
Yongjiang Pang ◽  
Geng Ku ◽  
Xueyi Xie ◽  
George Stoica ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
Photoacoustic Tomography ◽  
The Brain

Development of Radioiodinated Benzofuran Derivatives for in Vivo Imaging of Prion Deposits in the Brain

2019 ◽  
Vol 5 (12) ◽  
pp. 2003-2013 ◽  
Author(s):  
Takeshi Fuchigami ◽  
Masao Kawasaki ◽  
Ryusuke Koyama ◽  
Mari Nakaie ◽  
Takehiro Nakagaki ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
The Brain

Novel quinoxaline derivatives for in vivo imaging of β-amyloid plaques in the brain

2011 ◽  
Vol 21 (14) ◽  
pp. 4193-4196 ◽  
Author(s):  
Mengchao Cui ◽  
Masahiro Ono ◽  
Hiroyuki Kimura ◽  
Boli Liu ◽  
Hideo Saji
Keyword(s):  
In Vivo Imaging ◽  
Amyloid Plaques ◽  
Quinoxaline Derivatives ◽  
Β Amyloid ◽  
The Brain

Ageing and the human brain

2020 ◽  
pp. 170-182
Author(s):  
Verena Heise ◽  
Enikő Zsoldos ◽  
Klaus P. Ebmeier
Keyword(s):  
In Vivo Imaging ◽  
Allostatic Load ◽  
Public Health Medicine ◽  
Causal Factors ◽  
Stress Markers ◽  
Age Related ◽  
Brain Changes ◽  
Heuristic Device ◽  
The Brain

There is little doubt that the brain changes with time, and all research in psychiatry is predicated on holding age constant in comparing groups of patients or estimating the effect sizes of causal factors. Nevertheless, relatively little is known about the mechanisms that are responsible for translating time into ageing. This chapter tries, after an overview of the principal mechanisms involved in biological ageing, to summarize the age-related changes observable in brains in vivo and to demonstrate the types of investigations that may cast light on such mechanisms in the future. A useful heuristic device to order the multiple potential causes of ageing is the chronic stress–allostatic load model, widely employed in epidemiology, public health medicine, and health psychology. In vivo imaging provides a method to test the translation of intermediate stress markers, such as vascular risk, metabolic syndrome, or allostatic load, into predictors of age-related brain changes.

scholarly journals GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In Vivo Imaging

2020 ◽  
Vol 21 (21) ◽  
pp. 8048
Author(s):  
Marie A. Labouesse ◽  
Reto B. Cola ◽  
Tommaso Patriarchi
Keyword(s):  
In Vivo Imaging ◽  
Dynamic Range ◽  
New Techniques ◽  
Experimental Parameters ◽  
Sensor Properties ◽  
Molecular Specificity ◽  
Freely Behaving ◽  
The Brain ◽  
Da Release

Understanding how dopamine (DA) encodes behavior depends on technologies that can reliably monitor DA release in freely-behaving animals. Recently, red and green genetically encoded sensors for DA (dLight, GRAB-DA) were developed and now provide the ability to track release dynamics at a subsecond resolution, with submicromolar affinity and high molecular specificity. Combined with rapid developments in in vivo imaging, these sensors have the potential to transform the field of DA sensing and DA-based drug discovery. When implementing these tools in the laboratory, it is important to consider there is not a ‘one-size-fits-all’ sensor. Sensor properties, most importantly their affinity and dynamic range, must be carefully chosen to match local DA levels. Molecular specificity, sensor kinetics, spectral properties, brightness, sensor scaffold and pharmacology can further influence sensor choice depending on the experimental question. In this review, we use DA as an example; we briefly summarize old and new techniques to monitor DA release, including DA biosensors. We then outline a map of DA heterogeneity across the brain and provide a guide for optimal sensor choice and implementation based on local DA levels and other experimental parameters. Altogether this review should act as a tool to guide DA sensor choice for end-users.

Radioiodinated Flavones for in Vivo Imaging of β-Amyloid Plaques in the Brain

2005 ◽  
Vol 48 (23) ◽  
pp. 7253-7260 ◽  
Author(s):  
Masahiro Ono ◽  
Naoko Yoshida ◽  
Kenichi Ishibashi ◽  
Mamoru Haratake ◽  
Yasushi Arano ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
Amyloid Plaques ◽  
Β Amyloid ◽  
The Brain

scholarly journals Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs

Science ◽  
2012 ◽  
Vol 335 (6075) ◽  
pp. 1458-1462 ◽  
Author(s):  
L. V. Wang ◽  
S. Hu
Keyword(s):  
In Vivo Imaging ◽  
Photoacoustic Tomography
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