Evidence map›Paper›PMID 31316116›Full record

ArticleScientific data2019

A macaque connectome for large-scale network simulations in TheVirtualBrain.

Kelly Shen, Gleb Bezgin, Michael Schirner, Petra Ritter, Stefan Everling, Anthony R McIntosh

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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  17. Predictability of cortico-cortical connections in the mammalian brain.Network neuroscience (Cambridge, Mass.) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kelly ShenRotman Research Institute, Baycrest, Toronto, Ontario, Canada. kshen@research.baycrest.org.
Gleb BezginMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Michael SchirnerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Neurology, Berlin, Germany.
Petra RitterCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Neurology, Berlin, Germany.
Stefan EverlingRobarts Research Institute, University of Western Ontario, London, Ontario, Canada.
Anthony R McIntoshRotman Research Institute, Baycrest, Toronto, Ontario, Canada.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC 1315EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Research Infrastructures (H2020 Excellent Science - Research Infrastructures) 785907
6 · The paper itself

Abstract

Models of large-scale brain networks that are informed by the underlying anatomical connectivity contribute to our understanding of the mapping between the structure of the brain and its dynamical function. Connectome-based modelling is a promising approach to a more comprehensive understanding of brain function across spatial and temporal scales, but it must be constrained by multi-scale empirical data from animal models. Here we describe the construction of a macaque (Macaca mulatta and Macaca fascicularis) connectome for whole-cortex simulations in TheVirtualBrain, an open-source simulation platform. We take advantage of available axonal tract-tracing datasets and enhance the existing connectome data using diffusion-based tractography in macaques. We illustrate the utility of the connectome as an extension of TheVirtualBrain by simulating resting-state BOLD-fMRI data and fitting it to empirical resting-state data.

Indexed as

ConnectomeAnimalsBrainComputer SimulationMacaca fascicularisMacaca mulattaMagnetic Resonance ImagingMaleNeuroimaging

Identifiers

PMID31316116
PMCPMC6637142

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.