scholarly journals A novel two-factor monosynaptic TRIO tracing method for assessment of circuit integration of hESC-derived dopamine transplants

Author(s):  
Patrick Aldrin-Kirk ◽  
Malin Åkerblom ◽  
Tiago Cardoso ◽  
Sara Nolbrant ◽  
Andrew F. Adler ◽  
...  
2000 ◽  
Vol 54 (3) ◽  
pp. 46-56
Author(s):  
K. Uchida ◽  
D. Da ◽  
C. K. Lee ◽  
T. Matsunaga ◽  
T. Imai ◽  
...  

2021 ◽  
Vol 11 (13) ◽  
pp. 6078
Author(s):  
Tiffany T. Ly ◽  
Jie Wang ◽  
Kanchan Bisht ◽  
Ukpong Eyo ◽  
Scott T. Acton

Automatic glia reconstruction is essential for the dynamic analysis of microglia motility and morphology, notably so in research on neurodegenerative diseases. In this paper, we propose an automatic 3D tracing algorithm called C3VFC that uses vector field convolution to find the critical points along the centerline of an object and trace paths that traverse back to the soma of every cell in an image. The solution provides detection and labeling of multiple cells in an image over time, leading to multi-object reconstruction. The reconstruction results can be used to extract bioinformatics from temporal data in different settings. The C3VFC reconstruction results found up to a 53% improvement on the next best performing state-of-the-art tracing method. C3VFC achieved the highest accuracy scores, in relation to the baseline results, in four of the five different measures: Entire structure average, the average bi-directional entire structure average, the different structure average, and the percentage of different structures.


Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 120438
Author(s):  
Asher J. Hancock ◽  
Laura B. Fulton ◽  
Justin Ying ◽  
Corey E. Clifford ◽  
Shervin Sammak ◽  
...  

Author(s):  
Meng Li ◽  
Wei Wu ◽  
Yi Lin ◽  
Tongyu Yan ◽  
Pingfa Huang ◽  
...  

2016 ◽  
Author(s):  
R. Riza Fauzi ◽  
H. Rian Prima ◽  
H. Sasongko Pramono ◽  
W. Yusuf Susilo

2020 ◽  
Vol 46 (4) ◽  
pp. 990-998 ◽  
Author(s):  
James J Levitt ◽  
Paul G Nestor ◽  
Marek Kubicki ◽  
Amanda E Lyall ◽  
Fan Zhang ◽  
...  

Abstract We investigated brain wiring in chronic schizophrenia and healthy controls in frontostriatal circuits using diffusion magnetic resonance imaging tractography in a novel way. We extracted diffusion streamlines in 27 chronic schizophrenia and 26 healthy controls connecting 4 frontal subregions to the striatum. We labeled the projection zone striatal surface voxels into 2 subtypes: dominant-input from a single cortical subregion, and, functionally integrative, with mixed-input from diverse cortical subregions. We showed: 1) a group difference for total striatal surface voxel number (P = .045) driven by fewer mixed-input voxels in the left (P  = .007), but not right, hemisphere; 2) a group by hemisphere interaction for the ratio quotient between voxel subtypes (P  = .04) with a left (P  = .006), but not right, hemisphere increase in schizophrenia, also reflecting fewer mixed-input voxels; and 3) fewer mixed-input voxel counts in schizophrenia (P  = .045) driven by differences in left hemisphere limbic (P  = .007) and associative (P  = .01), but not sensorimotor, striatum. These results demonstrate a less integrative pattern of frontostriatal structural connectivity in chronic schizophrenia. A diminished integrative pattern yields a less complex input pattern to the striatum from the cortex with less circuit integration at the level of the striatum. Further, as brain wiring occurs during early development, aberrant brain wiring could serve as a developmental biomarker for schizophrenia.


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