Skip to main content
Journal cover image

Whole mouse brain connectomics.

Publication ,  Journal Article
Allan Johnson, G; Wang, N; Anderson, RJ; Chen, M; Cofer, GP; Gee, JC; Pratson, F; Tustison, N; White, LE
Published in: J Comp Neurol
September 1, 2019

Methods have been developed to allow quantitative connectivity of the whole fixed mouse brain by means of magnetic resonance imaging (MRI). We have translated what we have learned in clinical imaging to the very special domain of the mouse brain. Diffusion tensor imaging (DTI) of perfusion fixed specimens can now be performed with spatial resolution of 45 μm3 , that is, voxels that are 21,000 times smaller than the human connectome protocol. Specimen preparation has been optimized through an active staining protocol using a Gd chelate. Compressed sensing has been integrated into high performance reconstruction and post processing pipelines allowing acquisition of a whole mouse brain connectome in <12 hr. The methods have been validated against retroviral tracer studies. False positive tracts, which are especially problematic in clinical studies, have been reduced substantially to ~28%. The methods have been streamlined to provide high-fidelity, whole mouse brain connectomes as a routine study. The data package provides holistic insight into the mouse brain with anatomic definition at the meso-scale, quantitative volumes of subfields, scalar DTI metrics, and quantitative tractography.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Comp Neurol

DOI

EISSN

1096-9861

Publication Date

September 1, 2019

Volume

527

Issue

13

Start / End Page

2146 / 2157

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Neural Pathways
  • Mice
  • Image Processing, Computer-Assisted
  • Diffusion Tensor Imaging
  • Connectome
  • Brain
  • Animals
  • 3209 Neurosciences
  • 3109 Zoology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Allan Johnson, G., Wang, N., Anderson, R. J., Chen, M., Cofer, G. P., Gee, J. C., … White, L. E. (2019). Whole mouse brain connectomics. J Comp Neurol, 527(13), 2146–2157. https://doi.org/10.1002/cne.24560
Allan Johnson, G., Nian Wang, Robert J. Anderson, Min Chen, Gary P. Cofer, James C. Gee, Forrest Pratson, Nicholas Tustison, and Leonard E. White. “Whole mouse brain connectomics.J Comp Neurol 527, no. 13 (September 1, 2019): 2146–57. https://doi.org/10.1002/cne.24560.
Allan Johnson G, Wang N, Anderson RJ, Chen M, Cofer GP, Gee JC, et al. Whole mouse brain connectomics. J Comp Neurol. 2019 Sep 1;527(13):2146–57.
Allan Johnson, G., et al. “Whole mouse brain connectomics.J Comp Neurol, vol. 527, no. 13, Sept. 2019, pp. 2146–57. Pubmed, doi:10.1002/cne.24560.
Allan Johnson G, Wang N, Anderson RJ, Chen M, Cofer GP, Gee JC, Pratson F, Tustison N, White LE. Whole mouse brain connectomics. J Comp Neurol. 2019 Sep 1;527(13):2146–2157.
Journal cover image

Published In

J Comp Neurol

DOI

EISSN

1096-9861

Publication Date

September 1, 2019

Volume

527

Issue

13

Start / End Page

2146 / 2157

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Neural Pathways
  • Mice
  • Image Processing, Computer-Assisted
  • Diffusion Tensor Imaging
  • Connectome
  • Brain
  • Animals
  • 3209 Neurosciences
  • 3109 Zoology