An open resource for nonhuman primate imaging

Milham, Michael P.; Ai, Lei; Koo, Bonhwang; Xu, Ting; Balezeau, Fabien; Baxter, Mark G.; Croxson, Paula L.; Damatac, Christienne G.; Harel, Noam; Freiwald, Winrich A.; Griffiths, Timothy D.; Everling, Stefan; Jung, Benjamin; Kästner, Sabine; Leopold, David A.; Mars, Rogier B.; Menon, Ravi S.; Messinger, Adam; Morrison, John H.; Nacef, Jennifer; Nagy, Jamie; Ortiz-Rios, Michael; Petkov, Christopher I.; Pinsk, Mark A.; Poirier, Colline; Rajimehr, Reza; Rushworth, Matthew F. S.; Russ, Brian E.; Schmid, Michael C.; Schwiedrzik, Caspar M.; Sallet, Jérôme; Seidlitz, Jakob; Ungerleider, Leslie G.; Thiele, Alexander; Tsao, Doris Y.; Yacoub, Essa; Ye, Frank; Zarco, Wilbert; Margulies, Daniel S.; Schroeder, Charles E.

doi:10.1101/227462

Cited by 6 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Techniques such as diffusion magnetic resonance imaging (MRI) tractography and resting state functional MRI (fMRI) covariance allow mapping of the connectivity of an individual’s brain in minutes. Connectivity fingerprints can now be defined easily and related to a wide array of variables given the development of tools for fast data acquisition and advanced connectivity analyses 5 , 6 , 7 , and the wide availability of high-quality datasets from both healthy and clinical populations as well as different species 8 , 9 , 10 .…”

Section: The Connectivity Fingerprint Definedmentioning

confidence: 99%

Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Mars

Passingham

Jbabdi

2018

Trends in Cognitive Sciences

Self Cite

153

125

View full text Add to dashboard Cite

Fifteen years ago, Passingham and colleagues proposed that brain areas can be described in terms of their unique pattern of input and output connections with the rest of the brain, and that these connections are a crucial determinant of their function. We explore how the advent of neuroimaging of connectivity has allowed us to test and extend this proposal. We show that describing the brain in terms of an abstract connectivity space, as opposed to physical locations of areas, provides a natural and powerful framework for thinking about brain function and its variation across the brains of individuals, populations, and species.

show abstract

Section: The Connectivity Fingerprint Definedmentioning

confidence: 99%

Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Mars

Passingham

Jbabdi

2018

Trends in Cognitive Sciences

Self Cite

153

125

View full text Add to dashboard Cite

show abstract

“…We made use of the MRI data from the recently formed NHP data sharing consortium -the non-human PRIMate Data-Exchange (PRIME-DE, http://fcon_1000.projects.nitrc.org/indi/indiPRIME.html (16)). Three cohorts of macaque monkeys have been included in the present study.…”

Section: Methodsmentioning

confidence: 99%

“…To accomplish our goals, we leveraged previously collected fMRI datasets made available through the PRIMatE Data Exchange (PRIME-DE) (16). Specifically, we used three independent data collections (Oxford [n=20; anesthetized fMRI]; UC-Davis [n=19; anesthetized fMRI]; Newcastle [n = 14; awake fMRI]).…”

Section: Introductionmentioning

confidence: 99%

Inter-individual Variability of Functional Connectivity in Awake and Anesthetized Rhesus Monkeys

Sturgeon

Ramirez

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Nonhuman primate models (NHP) are commonly used to advance our understanding of brain function and organization. However, to date, they have offered few insights into individual differences among NHPs. In large part, this is due to the logistical challenges of NHP research, which limit most studies to five subjects or fewer. Methods:We leveraged the availability of a large-scale open NHP imaging resource to provide an initial examination of individual differences in the functional organization of the nonhuman primate brain. Specifically, we selected one awake fMRI dataset (Newcastle: n = 10) and two anesthetized fMRI data sets (Oxford: n = 19; UC-Davis: n = 19) to examine individual differences in functional connectivity characteristics across the cortex, as well as potential state dependencies. Results:We noted significant individual variations of functional connectivity across the macaque cortex. Similar to the findings in human, during the awake state, the primary sensory and motor cortices showed lower variability than the high-order association regions. This variability pattern was significantly correlated with T1w/T2w map, the degree of long-distance connectivity, but not short-distance connectivity. However, the inter-individual variability under anesthesia exhibited a very distinct pattern, with lower variability in medial frontal cortex, precuneus and somatomotor regions and higher variability in the lateral ventral frontal and insular cortices. Conclusions:This work has implications for our understanding of the evolutionary origins of individual variation in the human brain, as well as methodological implications that must be considered in any pursuit to study individual variation in NHP models.

show abstract

“…Detailed are provided in Supplement Experimental Procedures. All data are available at the PRIMatE Data Exchange (PRIME-DE; http://fcon_1000.projects.nitrc.org/indi/indiPRIME.html; Milham et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo

Falchier

Sullivan

et al. 2018

Cell Reports

Self Cite

View full text Add to dashboard Cite

SUMMARY Complementing long-standing traditions centered on histology, fMRI approaches are rapidly maturing in delineating brain areal organization at the macro-scale. The non-human primate (NHP) provides the opportunity to overcome critical barriers in translational research. Here, we establish the data requirements for achieving reproducible and internally valid parcellations in individuals. We demonstrate that functional boundaries serve as a functional fingerprint of the individual animals and can be achieved under anesthesia or awake conditions (rest, naturalistic viewing), though differences between awake and anesthetized states precluded the detection of individual differences across states. Comparison of awake and anesthetized states suggested a more nuanced picture of changes in connectivity for higher-order association areas, as well as visual and motor cortex. These results establish feasibility and data requirements for the generation of reproducible individual-specific parcellations in NHPs, provide insights into the impact of scan state, and motivate efforts toward harmonizing protocols.

show abstract

An open resource for nonhuman primate imaging

Cited by 6 publications

References 32 publications

Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Inter-individual Variability of Functional Connectivity in Awake and Anesthetized Rhesus Monkeys

Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo

Contact Info

Product

Resources

About