BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes
Neuroinformatics
.
2023 Oct;21(4):637-639.
doi: 10.1007/s12021-023-09638-2.
Epub 2023 Jul 3.
Authors
Thomas L Athey
1
2
,
Matthew A Wright
3
,
Marija Pavlovic
4
,
Vikram Chandrashekhar
5
,
Karl Deisseroth
4
6
7
8
,
Michael I Miller
5
9
10
11
,
Joshua T Vogelstein
5
9
10
11
Affiliations
1
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. tathey1@jhu.edu.
2
Institute of Computational Medicine, Johns Hopkins University, Baltimore, MD, USA. tathey1@jhu.edu.
3
Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA.
4
Department of Bioengineering, Stanford University, Stanford, CA, USA.
5
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
6
CNC Program, Stanford University, Stanford, CA, USA.
7
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
8
Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
9
Institute of Computational Medicine, Johns Hopkins University, Baltimore, MD, USA.
10
Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
11
Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA.
PMID:
37394568
PMCID:
PMC10582119
DOI:
10.1007/s12021-023-09638-2
No abstract available
Publication types
Letter
MeSH terms
Brain* / diagnostic imaging
Fluorescence
Magnetic Resonance Imaging*
Grants and funding
K08 MH113039/MH/NIMH NIH HHS/United States
R01 AG066184/AG/NIA NIH HHS/United States
RF1 MH121539/MH/NIMH NIH HHS/United States
U19 AG033655/AG/NIA NIH HHS/United States