Evidence map›Paper›PMID 30305712›Full record

ReviewNature reviews. Neuroscience2018

Imaging-based parcellations of the human brain.

Simon B Eickhoff, B T Thomas Yeo, Sarah Genon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 251 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
251citing 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

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

  1. Pooled it
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  8. Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026
    Review
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191 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

3 authors.

Simon B EickhoffInstitute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany. simon.eickhoff@med.uni-duesseldorf.de.
B T Thomas YeoDepartment of Electrical and Computer Engineering, ASTAR-NUS Clinical Imaging Research Centre, Singapore Institute for Neurotechnology and Memory Networks Program, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0119-3276
Sarah GenonInstitute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation - defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions - is thus fundamental for understanding brain organization and function. The past decade has seen an explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies.

Indexed as

Magnetic Resonance ImagingBrainBrain MappingHumansImage Processing, Computer-AssistedNeural PathwaysReproducibility of Results

Identifiers

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.