論文

査読有り 国際誌
2021年4月

The nonhuman primate neuroimaging and neuroanatomy project

NeuroImage
  • Takuya Hayashi
  • Yujie Hou
  • Matthew F Glasser
  • Joonas A Autio
  • Kenneth Knoblauch
  • Miho Inoue-Murayama
  • Tim Coalson
  • Essa Yacoub
  • Stephen Smith
  • Henry Kennedy
  • David C Van Essen
  • 全て表示

229
開始ページ
117726
終了ページ
117726
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neuroimage.2021.117726
出版者・発行元
Elsevier BV

Multi-modal neuroimaging projects such as the Human Connectome Project (HCP) and UK Biobank are advancing our understanding of human brain architecture, function, connectivity, and their variability across individuals using high-quality non-invasive data from many subjects. Such efforts depend upon the accuracy of non-invasive brain imaging measures. However, 'ground truth' validation of connectivity using invasive tracers is not feasible in humans. Studies using nonhuman primates (NHPs) enable comparisons between invasive and non-invasive measures, including exploration of how "functional connectivity" from fMRI and "tractographic connectivity" from diffusion MRI compare with long-distance connections measured using tract tracing. Our NonHuman Primate Neuroimaging & Neuroanatomy Project (NHP_NNP) is an international effort (6 laboratories in 5 countries) to: (i) acquire and analyze high-quality multi-modal brain imaging data of macaque and marmoset monkeys using protocols and methods adapted from the HCP; (ii) acquire quantitative invasive tract-tracing data for cortical and subcortical projections to cortical areas; and (iii) map the distributions of different brain cell types with immunocytochemical stains to better define brain areal boundaries. We are acquiring high-resolution structural, functional, and diffusion MRI data together with behavioral measures from over 100 individual macaques and marmosets in order to generate non-invasive measures of brain architecture such as myelin and cortical thickness maps, as well as functional and diffusion tractography-based connectomes. We are using classical and next-generation anatomical tracers to generate quantitative connectivity maps based on brain-wide counting of labeled cortical and subcortical neurons, providing ground truth measures of connectivity. Advanced statistical modeling techniques address the consistency of both kinds of data across individuals, allowing comparison of tracer-based and non-invasive MRI-based connectivity measures. We aim to develop improved cortical and subcortical areal atlases by combining histological and imaging methods. Finally, we are collecting genetic and sociality-associated behavioral data in all animals in an effort to understand how genetic variation shapes the connectome and behavior.

リンク情報
DOI
https://doi.org/10.1016/j.neuroimage.2021.117726
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33484849
ID情報
  • DOI : 10.1016/j.neuroimage.2021.117726
  • ISSN : 1053-8119
  • PubMed ID : 33484849

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