Evidence map›Paper›PMID 26409749›Full record

ReviewHuman brain mapping2015

Connectivity-based parcellation: Critique and implications.

Simon B Eickhoff, Bertrand Thirion, Gaël Varoquaux, Danilo Bzdok

Abstract readReview
In one paragraph

Review 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 155 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 9 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

155 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  9. Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Pooled it
  10. Article
  11. Article
  12. Article
  13. Frontiers in behavioral neuroscience · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Connectivity Regression.Biostatistics (Oxford, England) · 2025
    Article
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  20. In vivo parcellation of the human superior colliculus from brain-wide probabilistic connectivity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

95 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

4 authors.

Simon B EickhoffInstitut Für Neurowissenschaften Und Medizin (INM-1), Forschungszentrum Jülich GmbH, Jülich, 52425, Germany.
Bertrand ThirionParietal Team, INRIA, Neurospin, Bat 145, CEA Saclay, 91191, Gif-sur-Yvette, France.
Gaël VaroquauxParietal Team, INRIA, Neurospin, Bat 145, CEA Saclay, 91191, Gif-sur-Yvette, France.
Danilo BzdokInstitut Für Neurowissenschaften Und Medizin (INM-1), Forschungszentrum Jülich GmbH, Jülich, 52425, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regional specialization and functional integration are often viewed as two fundamental principles of human brain organization. They are closely intertwined because each functionally specialized brain region is probably characterized by a distinct set of long-range connections. This notion has prompted the quickly developing family of connectivity-based parcellation (CBP) methods in neuroimaging research. CBP assumes that there is a latent structure of parcels in a region of interest (ROI). First, connectivity strengths are computed to other parts of the brain for each voxel/vertex within the ROI. These features are then used to identify functionally distinct groups of ROI voxels/vertices. CBP enjoys increasing popularity for the in-vivo mapping of regional specialization in the human brain. Due to the requirements of different applications and datasets, CBP has diverged into a heterogeneous family of methods. This broad overview critically discusses the current state as well as the commonalities and idiosyncrasies of the main CBP methods. We target frequent concerns faced by novices and veterans to provide a reference for the investigation and review of CBP studies.

Indexed as

Brain MappingAlgorithmsBrainHumansNeuroimagingbrain parcellationclusteringdata-drivendiffusion MRIdouble dippingresting-state correlationsstatistical inferencestatistical learning

Identifiers

PMID26409749
PMCPMC6869530

What OpenQuestion holds

Textmetadata
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.