Align with the NMIND consortium for better neuroimaging
Nat Hum Behav
.
2023 Jul;7(7):1027-1028.
doi: 10.1038/s41562-023-01647-0.
Authors
Gregory Kiar
1
,
Jon Clucas
2
,
Eric Feczko
3
,
Mathias Goncalves
4
,
Dorota Jarecka
5
,
Christopher J Markiewicz
4
,
Yaroslav O Halchenko
6
,
Robert Hermosillo
3
,
Xinhui Li
7
,
Oscar Miranda-Dominguez
8
,
Satrajit Ghosh
5
,
Russell A Poldrack
4
,
Theodore D Satterthwaite
9
,
Michael P Milham
#
2
,
Damien Fair
#
3
Affiliations
1
Center for Data Analytics, Innovation, and Rigor, Child Mind Institute, New York, NY, USA.
[email protected]
.
2
Center for Data Analytics, Innovation, and Rigor, Child Mind Institute, New York, NY, USA.
3
Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
4
Department of Psychology, Stanford University, Stanford, CA, USA.
5
McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.
6
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
7
Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
8
Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
9
Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
#
Contributed equally.
PMID:
37386112
PMCID:
PMC11024722
DOI:
10.1038/s41562-023-01647-0
No abstract available
Publication types
Letter
MeSH terms
Brain* / diagnostic imaging
Humans
Neuroimaging* / methods
Grants and funding
P41 EB019936/EB/NIBIB NIH HHS/United States