Evidence map›Paper›PMID 32870572›Full record

ArticleHuman brain mapping2020

Depth relationships and measures of tissue thickness in dorsal midbrain.

Paulina Truong, Jung Hwan Kim, Ricky Savjani, Kevin R Sitek, Gisela E Hagberg, Klaus Scheffler, David Ress

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Paulina TruongDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Jung Hwan KimDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0003-0053-8321
Ricky SavjaniDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Kevin R SitekDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Gisela E HagbergHigh Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0003-2176-7086
Klaus SchefflerHigh Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
David RessDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-7326-4889
Baylor College of Medicine · USMax Planck Institute for Biological Cybernetics · DEUniversity of California, Los Angeles · US

Funding

Measurements and modeling of the hemodynamic response function in human cerebral cortexR01NS095933 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI RESS, DAVID B · 2016 to 2019
$1.8M
Quantitative characterization of human subcortical hemodynamic responseK25HL131997 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI KIM, JUNG HWAN · 2017 to 2021
$617k
CRCNS: Computational neuroimaging of the humanR01EB027586 · NIBIB · BAYLOR COLLEGE OF MEDICINE · PI RESS, DAVID B · 2018 to 2020
$519k
Bundesministerium für Bildung und Forschung 1822655NHLBI NIH HHS K25 HL131997NIBIB NIH HHS R01 EB027586NINDS NIH HHS R01 NS095933
6 · The paper itself

Abstract

Dorsal human midbrain contains two nuclei with clear laminar organization, the superior and inferior colliculi. These nuclei extend in depth between the superficial dorsal surface of midbrain and a deep midbrain nucleus, the periaqueductal gray matter (PAG). The PAG, in turn, surrounds the cerebral aqueduct (CA). This study examined the use of two depth metrics to characterize depth and thickness relationships within dorsal midbrain using the superficial surface of midbrain and CA as references. The first utilized nearest-neighbor Euclidean distance from one reference surface, while the second used a level-set approach that combines signed distances from both reference surfaces. Both depth methods provided similar functional depth profiles generated by saccadic eye movements in a functional MRI task, confirming their efficacy for delineating depth for superficial functional activity. Next, the boundaries of the PAG were estimated using Euclidean distance together with elliptical fitting, indicating that the PAG can be readily characterized by a smooth surface surrounding PAG. Finally, we used the level-set approach to measure tissue depth between the superficial surface and the PAG, thus characterizing the variable thickness of the colliculi. Overall, this study demonstrates depth-mapping schemes for human midbrain that enables accurate segmentation of the PAG and consistent depth and thickness estimates of the superior and inferior colliculi.

Indexed as

AdultCerebral AqueductFunctional NeuroimagingHumansInferior ColliculiMagnetic Resonance ImagingNeuroimagingPeriaqueductal GraySaccadesSuperior ColliculicolliculusdepthmidbrainMRIperiaqueductal gray

Identifiers

PMID32870572
PMCPMC7670631
OpenAlexW3082041142

What OpenQuestion holds

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LicenceCC BY
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.