Evidence map›Paper›PMID 28654718›Full record

ReviewNMR in biomedicine2019

Building connectomes using diffusion MRI: why, how and but.

Stamatios N Sotiropoulos, Andrew Zalesky

Abstract readReview
In one paragraph

Review in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 2 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

156 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. General cognitive function and the brain's structural connectome.bioRxiv : the preprint server for biology · 2026
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96 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

2 authors.

Stamatios N SotiropoulosCentre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-4735-5776
Andrew ZaleskyMelbourne Neuropsychiatry Centre and Melbourne School of Engineering, University of Melbourne, Victoria, Australia.

Funding

National Health and Medical Research Council of Australia APP1047648UK Engineering and Physical Sciences Research Council EP/L023067/1
6 · The paper itself

Abstract

Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How do different image acquisition parameters, fiber tracking algorithms and other methodological choices affect connectome estimation? What are the main factors that dictate the success and failure of connectome reconstruction? These are some of the key questions that we aim to address in this review. We provide an overview of the key methods that can be used to estimate the nodes and edges of macroscale connectomes, and we discuss open problems and inherent limitations. We argue that diffusion MRI-based connectome mapping methods are still in their infancy and caution against blind application of deep white matter tractography due to the challenges inherent to connectome reconstruction. We review a number of studies that provide evidence of useful microstructural and network properties that can be extracted in various independent and biologically relevant contexts. Finally, we highlight some of the key deficiencies of current macroscale connectome mapping methodologies and motivate future developments.

Indexed as

ConnectomeDiffusion Magnetic Resonance ImagingAnimalsBrainHumansMyelin SheathReproducibility of Resultsbrain networkconnectionsparcellationtracerstractographywhite matter fibers

Identifiers

PMID28654718
PMCPMC6491971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.