Evidence map›Paper›PMID 32265669›Full record

ArticleFrontiers in neuroanatomy2020

Inner SPACE: 400-Micron Isotropic Resolution MRI of the Human Brain.

Timothy M Shepherd, Michael J Hoch, Mary Bruno, Arline Faustin, Antonios Papaioannou, Stephen E Jones, Orrin Devinsky, Thomas Wisniewski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

8 authors at 3 institutions in 1 country.

Timothy M ShepherdDepartment of Radiology, New York University, New York, NY, United States.
Michael J HochDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Mary BrunoDepartment of Radiology, New York University, New York, NY, United States.
Arline FaustinDepartment of Pathology, New York University, New York, NY, United States.
Antonios PapaioannouDepartment of Radiology, New York University, New York, NY, United States.
Stephen E JonesDepartment of Radiology, Cleveland Clinic, Cleveland, OH, United States.
Orrin DevinskyDepartment of Neurology, New York University, New York, NY, United States.
Thomas WisniewskiDepartment of Pathology, New York University, New York, NY, United States.
New York University · USCleveland Clinic · USUniversity of Pennsylvania · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Transgenic/Behavior CoreP01AG060882 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI UEBERHEIDE, BEATRIX MAGDALENA · 2020 to 2024
$12.0M
New region-specific targeted MRI to characterize Alzheimer's disease pathologyK23AG048622 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHEPHERD, TIMOTHY MICHAEL · 2014 to 2018
$818k
NIA NIH HHS K23 AG048622NIA NIH HHS P01 AG060882NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

objectivesClinically relevant neuroanatomy is challenging to teach, learn and remember since many functionally important structures are visualized best using histology stains from serial 2D planar sections of the brain. In clinical patients, the locations of specific structures then must be inferred from spatial position and surface anatomy. A 3D MRI dataset of neuroanatomy has several advantages including simultaneous multi-planar visualization in the same brain, direct end-user manipulation of the data and image contrast identical to clinical MRI. We created 3D MRI datasets of the postmortem brain with high spatial and contrast resolution for simultaneous multi-planar visualization of complex neuroanatomy. MATERIALS AND

methodsWhole human brains (

resultsThis MRI microscopy protocol provided excellent contrast resolution of small nuclei and internal myelinated pathways within the basal ganglia, thalamus, brainstem, and cerebellum. Contrast was sufficient to visualize the presence and variation of horizontal layers in the cerebral cortex. 3D isotropic resolution datasets facilitated simultaneous multi-planar visualization and efficient production of specific tailored oblique image orientations to improve understanding of complex neuroanatomy.

conclusionWe created an unlabeled high-resolution digital 3D MRI dataset of neuroanatomy as an online resource for readers to download, manipulate, annotate and use for clinical practice, research, and teaching that is complementary to traditional histology-based atlases. Digital MRI contrast is quantifiable, reproducible across brains and could help validate novel MRI strategies for

Indexed as

3D visualizationatlasfunctional neurosurgeryMR microscopyteaching

Identifiers

PMID32265669
PMCPMC7103647
OpenAlexW3010695592

What OpenQuestion holds

Textmetadata
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.