Evidence map›Paper›PMID 30138588›Full record

ReviewNeuron2018

Parcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans.

David C Van Essen, Matthew F Glasser

Abstract readReview
In one paragraph

Review in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

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

  1. Pooled it
  2. Mechanistic versus descriptive interpretation of brain activity pattern reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
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  7. Brain displacement and nonlinear deformation following human spaceflight.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Variable Presence of an Evolutionarily New Brain Structure Is Related to Trait Impulsivity.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
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  11. Article
  12. Article
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  16. Review
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  19. Article
  20. Article

26 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.

David C Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: vanessen@wustl.edu.
Matthew F GlasserDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA; St. Luke's Hospital, St. Louis, MO 63107, USA. Electronic address: glasserm@wustl.edu.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
Non-invasive Multi-modal Parcellation of the Human Cerebral CortexF30MH097312 · NIMH · WASHINGTON UNIVERSITY · PI GLASSER, MATTHEW FREDERICK · 2012 to 2014
$105k
NIMH NIH HHS F30 MH097312NIMH NIH HHS R01 MH060974NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The cerebral cortex in mammals contains a mosaic of cortical areas that differ in function, architecture, connectivity, and/or topographic organization. A combination of local connectivity (within-area microcircuitry) and long-distance (between-area) connectivity enables each area to perform a unique set of computations. Some areas also have characteristic within-area mesoscale organization, reflecting specialized representations of distinct types of information. Cortical areas interact with one another to form functional networks that mediate behavior, and each area may be a part of multiple, partially overlapping networks. Given their importance to the understanding of brain organization, mapping cortical areas across species is a major objective of systems neuroscience and has been a century-long challenge. Here, we review recent progress in multi-modal mapping of mouse and nonhuman primate cortex, mainly using invasive experimental methods. These studies also provide a neuroanatomical foundation for mapping human cerebral cortex using noninvasive neuroimaging, including a new map of human cortical areas that we generated using a semiautomated analysis of high-quality, multimodal neuroimaging data. We contrast our semiautomated approach to human multimodal cortical mapping with various extant fully automated human brain parcellations that are based on only a single imaging modality and offer suggestions on how to best advance the noninvasive brain parcellation field. We discuss the limitations as well as the strengths of current noninvasive methods of mapping brain function, architecture, connectivity, and topography and of current approaches to mapping the brain's functional networks.

Indexed as

Models, AnimalAnimalsAnimals, LaboratoryBrain MappingCerebral CortexHaplorhiniHumansMiceNerve NetSpecies Specificityarchitectonicsbrainconnectivitycortical areasfunctionnetworksneuroanatomynonhuman primateparcellationtopography

Identifiers

PMID30138588
PMCPMC6149530

What OpenQuestion holds

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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.