2018
DOI: 10.3389/fnana.2018.00082
|View full text |Cite
|
Sign up to set email alerts
|

Navigating the Murine Brain: Toward Best Practices for Determining and Documenting Neuroanatomical Locations in Experimental Studies

Abstract: In experimental neuroscientific research, anatomical location is a key attribute of experimental observations and critical for interpretation of results, replication of findings, and comparison of data across studies. With steadily rising numbers of publications reporting basic experimental results, there is an increasing need for integration and synthesis of data. Since comparison of data relies on consistently defined anatomical locations, it is a major concern that practices and precision in the reporting o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
26
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 25 publications
(26 citation statements)
references
References 49 publications
0
26
0
Order By: Relevance
“…In brief, montage images of sections lying between the hypoglossal nucleus and the middle of the facial nucleus were captured (10ϫ/0.30 NA M27 objective lens), and labeled neurons were manually annotated. Sections from mice or rats were aligned to the Allen or Waxholm (Papp et al, 2014) volumetric brain atlases, respectively, using the QuickNII alignment tool (Bjerke et al, 2018) (https://www.nitrc.org/projects/quicknii), transforming the pixel coordinates of neurons identified in 2D images to 3D Cartesian coordinates. For each mouse, the distribution of ChAT ϩ IRt neurons was projected into 2D grayscale heat maps using a 5 voxel smoothing coefficient, as described previously (Dempsey et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…In brief, montage images of sections lying between the hypoglossal nucleus and the middle of the facial nucleus were captured (10ϫ/0.30 NA M27 objective lens), and labeled neurons were manually annotated. Sections from mice or rats were aligned to the Allen or Waxholm (Papp et al, 2014) volumetric brain atlases, respectively, using the QuickNII alignment tool (Bjerke et al, 2018) (https://www.nitrc.org/projects/quicknii), transforming the pixel coordinates of neurons identified in 2D images to 3D Cartesian coordinates. For each mouse, the distribution of ChAT ϩ IRt neurons was projected into 2D grayscale heat maps using a 5 voxel smoothing coefficient, as described previously (Dempsey et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Images of sections were aligned to the Allen Brain Atlas using QuickNII ( 64 ) (https://www.nitrc.org/projects/quicknii). Labelled neurons were manually annotated as IRt seed neurons (GFP + mCherry + ) or monosynaptic input neurons (mCherry + ) in ImageJ.…”
Section: Methodsmentioning
confidence: 99%
“…To make it worse, the labels in the Allen CCF released in 2017 (CCFv3) also introduced significant changes from its original ARA labels that were based on 2D Nissl stained sections. This has created confusion and misinterpretation of experimental results 21 . These issues motivated us to create a unified and highly segmented anatomical labeling system in the adult mouse brain based on the Allen CCF.…”
Section: Introductionmentioning
confidence: 99%