Evidence map›Paper›PMID 36157324›Full record

ArticleFrontiers in neuroanatomy2022

The cortical spectrum: A robust structural continuum in primate cerebral cortex revealed by histological staining and magnetic resonance imaging.

Yohan J John, Basilis Zikopoulos, Miguel Ángel García-Cabezas, Helen Barbas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026
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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

4 authors at 1 institution in 1 country.

Yohan J JohnNeural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Basilis ZikopoulosHuman Systems Neuroscience Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Miguel Ángel García-CabezasNeural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Helen BarbasNeural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Boston University · US

Funding

ORGANIZATION OF PREFRONTAL FEEDBACK CIRCUITSR01MH057414 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BARBAS, HELEN · 1999 to 2020
$7.3M
Organization and Circuit Interactions of Thalamocortical Attentional Networks in Health and DiseaseR01MH118500 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Arash Yazdanbakhsh, Vasileios Zikopoulos · 2019 to 2026
$4.8M
Prefrontal Anatomic Pathways in Executive ControlR01MH117785 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BARBAS, HELEN · 2018 to 2024
$4.6M
NIMH NIH HHS R01 MH057414NIMH NIH HHS R01 MH117785NIMH NIH HHS R01 MH118500
6 · The paper itself

Abstract

High-level characterizations of the primate cerebral cortex sit between two extremes: on one end the cortical mantle is seen as a mosaic of structurally and functionally unique areas, and on the other it is seen as a uniform six-layered structure in which functional differences are defined solely by extrinsic connections. Neither of these extremes captures the crucial neuroanatomical finding: that the cortex exhibits systematic gradations in architectonic structure. These gradations have been shown to predict cortico-cortical connectivity, which in turn suggests powerful ways to ground connectomics in anatomical structure, and by extension cortical function. A challenge to widespread use of this concept is the labor-intensive and invasive nature of histological staining, which is the primary means of recognizing anatomical gradations. Here we show that a novel computational analysis technique can provide a coarse-grained picture of cortical variation. For each of 78 cortical areas spanning the entire cortical mantle of the rhesus macaque, we created a high dimensional set of anatomical features derived from captured images of cortical tissue stained for myelin and SMI-32. The method involved semi-automated de-noising of images, and enabled comparison of brain areas without hand-labeling of features such as layer boundaries. We applied multidimensional scaling (MDS) to the dataset to visualize similarity among cortical areas. This analysis shows a systematic variation between weakly laminated (limbic) cortices and sharply laminated (eulaminate) cortices. We call this smooth continuum the "cortical spectrum". We also show that this spectrum is visible within subsystems of the cortex: the occipital, parietal, temporal, motor, prefrontal, and insular cortices. We compared the MDS-derived spectrum with a spectrum produced using T1- and T2-weighted magnetic resonance imaging (MRI) data derived from macaque, and found close agreement of the two coarse-graining methods. This suggests that T1w/T2w data, routinely obtained in human MRI studies, can serve as an effective proxy for data derived from high-resolution histological methods. More generally, this approach shows that the cortical spectrum is robust to the specific method used to compare cortical areas, and is therefore a powerful tool to understand the principles of organization of the primate cortex.

Indexed as

anatomycortexMRImyelinneuroimagingprimateSMI-32T1/T2

Identifiers

PMID36157324
PMCPMC9501703
OpenAlexW4295073660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.