Brain/MINDS Beyond Human Brain MRI Project: A Protocol for Multi-Site Harmonization across Brain Disorders Throughout the Lifespan

Koike, Shinsuke; Tanaka, Saori; Okada, Tomohisa; Asano, Michiko; Maikusa, Norihide; Morita, Kentaro; Okada, Naohiro; Fukunaga, Masaki; Uematsu, Akiko; Togo, Hiroki; Miyazaki, Atsushi; Murata, Katsutoshi; Urushibata, Yuta; Autio, Joonas; Ose, Takayuki; Yoshimoto, Junichiro; Araki, Toshiyuki; Glasser, Matthew F.; Essen, David C. Van; Maruyama, Megumi; Sadato, Norihiro; Kawato, Mitsuo; Kasai, Kazuhiko; Okamoto, Yasumasa; Hanakawa, Takashi; Hayashi, Takuya; Brain,

doi:10.1101/2020.05.05.076273

Cited by 4 publications

(8 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will also share the genetics and behavioral data at the RIKEN Brain/MINDS-beyond site ( https://brainminds-beyond.riken.jp ) along with neuroimaging data to accelerate multi-site collaboration for larger samples of NHPs, as is being performed in ongoing human neuroimaging projects such as the ABCD ( Casey et al, 2018 ) and Brain/MINDS-beyond ( Koike et al, 2020 ).…”

Section: Bridging Neuroimaging Neuroanatomy and Beyondmentioning

confidence: 99%

The nonhuman primate neuroimaging and neuroanatomy project

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Bridging Neuroimaging Neuroanatomy and Beyondmentioning

confidence: 99%

The nonhuman primate neuroimaging and neuroanatomy project

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In humans, prospectively harmonized multi-center data acquisition protocols and ICA-FIX cleaned data result in FC matrices across subjects ( N =30) and scanners ( n =13) is 0.55 ± 0.07 (rho ± std) whereas within-subject and within-scanner test-retest reproducibility is 0.72 ± 0.08 ( Fig. 10d ) ( Koike et al, 2020 ). Thus, the average FC correspondence between NHP imaging centers (0.23 ± 0.13; rho ± std) is well below that observed across human MRI centers (which use much more convergent hardware and harmonized data acquisition protocols) ( Fig.…”

Section: Discussionmentioning

confidence: 99%

“…However, (D) FC exhibited poor reproducibility across NHP imaging centers in comparison to humans. HARP is a travelling subject ( N =30) study across 13-clinical MRI centers ( Koike et al, 2020 ). Macaque and human data were processed using HCP-NHP and HCP pipelines, respectively.…”

Section: Figmentioning

confidence: 99%

Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection

Autio

Zhu

et al. 2021

NeuroImage

Self Cite

View full text Add to dashboard Cite

Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined acquisition and analysis protocols would accelerate and improve these efforts. However, consensus on minimal standards for data acquisition protocols and analysis pipelines for NHP imaging remains to be established, particularly for multi-center studies. Here, we draw parallels between NHP and human neuroimaging and provide minimal guidelines for harmonizing and standardizing data acquisition. We advocate robust translation of widely used open-access toolkits that are well established for analyzing human data. We also encourage the use of validated, automated pre-processing tools for analyzing NHP data sets. These guidelines aim to refine methodological and analytical strategies for small and large-scale NHP neuroimaging data. This will improve reproducibility of results, and accelerate the convergence between NHP and human neuroimaging strategies which will ultimately benefit fundamental and translational brain science.

show abstract

“…The brain MRI examination takes T1WI, T2WI, resting-state fMRI and diffusion tensor-weighted images. The imaging protocol is according to Harmonized Protocol (HARP) 85 for clinical MRI studies in Brain/MINDS Beyond when multiband echo-planar imaging option is enabled in each site. If not, the imaging protocol will be adopted based on the Strategic Research Program for Brain Science (SRPB) protocol.…”

Section: Demographic Datamentioning

confidence: 99%

“…We follow the ethical regulation of the previous study. 85 Sharing neuropsychiatric patient data that can contain information linked to subjects’ privacy requires special attention. 94 Hence, the Brain/MINDS Beyond project has made NCNP the core site for supporting ethical considerations.…”

Section: Ethics and Disseminationmentioning

confidence: 99%

Eating Disorder Neuroimaging Initiative (EDNI): a multicentre prospective cohort study protocol for elucidating the neural effects of cognitive–behavioural therapy for eating disorders

et al. 2021

View full text Add to dashboard Cite

IntroductionAnorexia nervosa is a refractory psychiatric disorder with a mortality rate of 5.9% and standardised mortality ratio of 5.35, which is much higher than other psychiatric disorders. The standardised mortality ratio of bulimia nervosa is 1.49; however, it is characterised by suicidality resulting in a shorter time to death. While there is no current validated drug treatment for eating disorders in Japan, cognitive–behavioural therapy (CBT) is a well-established and commonly used treatment. CBT is also recommended in the Japanese Guidelines for the Treatment of Eating Disorders (2012) and has been covered by insurance since 2018. However, the neural mechanisms responsible for the effect of CBT have not been elucidated, and the use of biomarkers such as neuroimaging data would be beneficial.Methods and analysisThe Eating Disorder Neuroimaging Initiative is a multisite prospective cohort study. We will longitudinally collect data from 72 patients with eating disorders (anorexia nervosa and bulimia nervosa) and 70 controls. Data will be collected at baseline, after 21–41 sessions of CBT and 12 months later. We will assess longitudinal changes in neural circuit function, clinical data, gene expression and psychological measures by therapeutic intervention and analyse the relationship among them using machine learning methods.Ethics and disseminationThe study was approved by The Ethical Committee of the National Center of Neurology and Psychiatry (A2019-072). We will obtain written informed consent from all patients who participate in the study after they had been fully informed about the study protocol. All imaging, demographic and clinical data are shared between the participating sites and will be made publicly available in 2024.Trial registration numberUMIN000039841

show abstract

Brain/MINDS Beyond Human Brain MRI Project: A Protocol for Multi-Site Harmonization across Brain Disorders Throughout the Lifespan

Cited by 4 publications

References 63 publications

The nonhuman primate neuroimaging and neuroanatomy project

The nonhuman primate neuroimaging and neuroanatomy project

Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection

Eating Disorder Neuroimaging Initiative (EDNI): a multicentre prospective cohort study protocol for elucidating the neural effects of cognitive–behavioural therapy for eating disorders

Contact Info

Product

Resources

About