Evidence map›Paper›PMID 26058702›Full record

ArticleHuman brain mapping2015

Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome.

Martijn P van den Heuvel, Marcel A de Reus, Lisa Feldman Barrett, Lianne H Scholtens, Fraukje M T Coopmans, Ruben Schmidt, Todd M Preuss, James K Rilling, Longchuan Li

Abstract readComparative Study
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review on the quantitative relationship between structural and functional network connectivity strength in mammalian brains.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Pooled it
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17 more citing papers are in PubMed but not listed here.

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

9 authors.

Martijn P van den HeuvelDepartment of Psychiatry, University Medical Center Utrecht, The Netherlands.
Marcel A de ReusDepartment of Psychiatry, University Medical Center Utrecht, The Netherlands.
Lisa Feldman BarrettDepartment of Psychology, Northeastern University, Boston, MA, USA.
Lianne H ScholtensDepartment of Psychiatry, University Medical Center Utrecht, The Netherlands.
Fraukje M T CoopmansDepartment of Psychiatry, University Medical Center Utrecht, The Netherlands.
Ruben SchmidtBrain Center Rudolf Magnus, Utrecht, The Netherlands.
Todd M PreussDepartment of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Atlanta, GA 30329, USA.
James K RillingCenter for Translational Social Neuroscience, Yerkes National Primate Research Center, Atlanta, GA 30329, USA.
Longchuan LiMarcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, GA, USA.

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
SOCIAL COGNITION AND EMOTIONAL AGING IN PRIMATESP01AG026423 · NIA · EMORY UNIVERSITY · PI HERNDON, JAMES G · 2007 to 2011
$11.6M
NCRR NIH HHS P51RR165NIA NIH HHS P01 AG026423NIA NIH HHS P01 AG026423-01A2NIH HHS OD P51OD11132NIH HHS P51 OD011132
6 · The paper itself

Abstract

With the mapping of macroscale connectomes by means of in vivo diffusion-weighted MR Imaging (DWI) rapidly gaining in popularity, one of the necessary steps is the examination of metrics of connectivity strength derived from these reconstructions. In the field of human macroconnectomics the number of reconstructed fiber streamlines (NOS) is more and more used as a metric of cortico-cortical interareal connectivity strength, but the link between DWI NOS and in vivo animal tract-tracing measurements of anatomical connectivity strength remains poorly understood. In this technical report, we communicate on a comparison between DWI derived metrics and tract-tracing metrics of projection strength. Tract-tracing information on projection strength of interareal pathways was extracted from two commonly used macaque connectome datasets, including (1) the CoCoMac database of collated tract-tracing experiments of the macaque brain and (2) the high-resolution tract-tracing dataset of Markov and Kennedy and coworkers. NOS and density of reconstructed fiber pathways derived from DWI data acquired across 10 rhesus macaques was found to positively correlate to tract-tracing based measurements of connectivity strength across both the CoCoMac and Markov dataset (both P < 0.001), suggesting DWI NOS to form a valid method of assessment of the projection strength of white matter pathways. Our findings provide confidence of in vivo DWI connectome reconstructions to represent fairly realistic estimates of the wiring strength of white matter projections. Our cross-modal comparison supports the notion of in vivo DWI to be a valid methodology for robust description and interpretation of brain wiring.

Indexed as

ConnectomeNeuroanatomical Tract-Tracing TechniquesAnimalsAtlases as TopicBrainDatabases, FactualDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleMacaca mulattaMaleNeural PathwaysWhite Matterconnectivityconnectomeconnectomicsdiffusion imagingmacaquetract tracingwhite matter

Identifiers

PMID26058702
PMCPMC6869766

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.