Evidence map›Paper›PMID 35169827›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

A taxonomy of the brain's white matter: twenty-one major tracts for the 21st century.

Daniel N Bullock, Elena A Hayday, Mark D Grier, Wei Tang, Franco Pestilli, Sarah R Heilbronner

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% of its field
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  9. Electrophysiological features of signals recorded from white matter.bioRxiv : the preprint server for biology · 2026
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  17. The white matter of Aha! moments.BMC psychology · 2026
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  18. Review
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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

6 authors at 3 institutions in 1 country.

Daniel N BullockDepartment of Psychological and Brain Sciences, Program in Neuroscience, Indiana University Bloomington, Bloomington, IN 47405, USA.
Elena A HaydayDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Mark D GrierDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Wei TangDepartment of Psychological and Brain Sciences, Program in Neuroscience, Indiana University Bloomington, Bloomington, IN 47405, USA.
Franco PestilliDepartment of Psychology, The University of Texas at Austin, Austin, TX 78712, USA.
Sarah R HeilbronnerDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
University of Minnesota · USIndiana University Bloomington · USThe University of Texas at Austin · US

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger · 2019 to 2026
$11.7M
NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
Training in Clinical Translational Science: Maximizing the Public Health ImpactT32MH103213 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI WILLIAM P HETRICK · 2015 to 2026
$3.4M
Revealing functional networks and circuits of the posteromedial cortex withanatomical connectivityR01MH118257 · NIMH · UNIVERSITY OF MINNESOTA · PI HEILBRONNER, SARAH RACHEL · 2019 to 2023
$1.9M
Minnesota Neuroimaging Postdoctoral Training GrantT32EB031512 · NIBIB · UNIVERSITY OF MINNESOTA · PI NETOFF, THEODEN I, UGURBIL, KAMIL · 2021 to 2025
$1.1M
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscienceR01EB029272 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI BASSETT, DANIELLE SMITH, BETZEL, RICHARD F · 2019 to 2021
$546k
NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB029272NIDA NIH HHS T32 DA007234NIMH NIH HHS R01 MH118257NIMH NIH HHS T32 MH103213
6 · The paper itself

Abstract

The functional and computational properties of brain areas are determined, in large part, by their connectivity profiles. Advances in neuroimaging and network neuroscience allow us to characterize the human brain noninvasively, but a comprehensive understanding of the human brain demands an account of the anatomy of brain connections. Long-range anatomical connections are instantiated by white matter, which itself is organized into tracts. These tracts are often disrupted by central nervous system disorders, and they can be targeted by neuromodulatory interventions, such as deep brain stimulation. Here, we characterized the connections, morphology, traversal, and functions of the major white matter tracts in the brain. There are major discrepancies across different accounts of white matter tract anatomy, hindering our attempts to accurately map the connectivity of the human brain. However, we are often able to clarify the source(s) of these discrepancies through careful consideration of both histological tract-tracing and diffusion-weighted tractography studies. In combination, the advantages and disadvantages of each method permit novel insights into brain connectivity. Ultimately, our synthesis provides an essential reference for neuroscientists and clinicians interested in brain connectivity and anatomy, allowing for the study of the association of white matter's properties with behavior, development, and disorders.

Indexed as

White MatterBrainDiffusion Tensor ImagingHeadHumansNeuroimagingconnectivityneuroimagingtractographytract-tracingwhite matter

Identifiers

PMID35169827
PMCPMC9574243
OpenAlexW4205756233

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.