Strengths and challenges of longitudinal non-human primate neuroimaging

Xiaowei Song (1) , Pamela García-Saldivar (2) , Nathan Kindred (3) , Yujiang Wang (3) , Hugo Merchant (2) , Adrien Meguerditchian (4, 5, 6) , Yihong Yang (1) , Elliot A Stein (1) , Charles W Bradberry (1) , Suliann Ben Hamed (7) , Hank P Jedema (1) , Colline Poirier (3)

1 Intramural Research Program - Behavioral Pharmacology and Genetics Section [Baltimore, MD, USA]
2 UNAM - Universidad Nacional Autónoma de México = National Autonomous University of Mexico
3 Newcastle University [Newcastle]
4 LPC - Laboratoire de psychologie cognitive
5 SP - Station de primatologie
6 ILCB - Institute of Language, Communication and the Brain
7 CNC - Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229

Longitudinal non-human primate neuroimaging has the potential to greatly enhance our understanding of primate brain structure and function. Here we describe its specific strengths, compared to both cross-sectional non-human primate neuroimaging and longitudinal human neuroimaging, but also its associated challenges. We elaborate on factors guiding the use of different analytical tools, subject-specific versus age-specific templates for analyses, and issues related to statistical power.

Keywords: Magnetic resonance imaging; Development; Ageing; Templates; Simulation; Non-human primate

Domains: Cognitive science; Cognitive science; Neuroscience; Life Sciences [q-bio]; Neurons and Cognition [q-bio.NC]

Xiaowei Song, Pamela García-Saldivar, Nathan Kindred, Yujiang Wang, Hugo Merchant, et al.. Strengths and challenges of longitudinal non-human primate neuroimaging. NeuroImage, 2021, pp.118009. ⟨10.1016/j.neuroimage.2021.118009⟩. ⟨hal-03196946⟩