Evidence map›Paper›PMID 30328512›Full record

ArticleBrain structure & function2019

Colocalization of neurons in optical coherence microscopy and Nissl-stained histology in Brodmann's area 32 and area 21.

Caroline Magnain, Jean C Augustinack, Lee Tirrell, Morgan Fogarty, Matthew P Frosch, David Boas, Bruce Fischl, Kathleen S Rockland

Abstract readComparative Study
In one paragraph

Article in Brain structure & function, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Neurophotonics · 2020
    Article
  9. FAConstructor: an interactive tool for geometric modeling of nerve fiber architectures in the brain.International journal of computer assisted radiology and surgery · 2019
    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.

Caroline MagnainDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA. cmagnain@nmr.mgh.harvard.edu.ORCID http://orcid.org/0000-0003-4244-7380
Jean C AugustinackDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Lee TirrellDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Morgan FogartyDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Matthew P FroschC.S. Kubik Laboratory for Neuropathology, Pathology Service, MGH, 55 Fruit St., Boston, MA, 02115, USA.
David BoasDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Bruce FischlDepartment of Radiology, Athinoula A Martinos Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Kathleen S RocklandDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 02118, USA.

Funding

EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Neuropathology of CTE and Delayed Effects of TBI: Toward In-Vivo DiagnosticsU01NS086625 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN · 2014 to 2017
$6.1M
FreeSurfer Development, Maintenance, and HardeningR01EB023281 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Douglas Nowlin Greve · 2016 to 2026
$5.6M
A Longitudinal Analysis Stream for FreeSurferR01NS083534 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2014 to 2026
$4.6M
Microglial, Inflammatory and Omics Markers of Cerebral Small Vessel Disease in the CHARGE ConsortiumUH3NS100605 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2018 to 2020
$3.0M
Tools for Analyzing Cortical Structure and ConnectivityR01NS052585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2006 to 2010
$2.5M
Algorithms for MR and OCT-based Architectonic and Laminar SegmentationR01EB019956 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2015 to 2018
$2.4M
Software Tools for Automated Modeling of White Matter Fascicles from Diffusion MRR01NS070963 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2011 to 2015
$2.3M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
National Institute of Biomedical Imaging and Bioengineering R01EB006758National Institute of Biomedical Imaging and Bioengineering R01EB019956National Institute of Biomedical Imaging and Bioengineering R01EB023281National Institute of Biomedical Imaging and Bioengineering R21EB018907National Institute of Biomedical Imaging and Bioengineering (US) P41EB015896National Institute of Diabetes and Digestive and Kidney Diseases R21-DK-108277-01National Institute of Mental Health MH107456National Institute of Neurological Disorders and Stroke 5U01NS086625National Institute of Neurological Disorders and Stroke R01NS052585National Institute of Neurological Disorders and Stroke R01NS070963National Institute of Neurological Disorders and Stroke R01NS083534National Institute of Neurological Disorders and Stroke R21NS072652National Institute on Aging R01AG008122National Institute on Aging R01AG016495National Institutes of Health S10RR019307National Institutes of Health (US) S10RR023043National Institutes of Health (US) S10RR023401NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG016495NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R01 EB006758NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB023281NIBIB NIH HHS R21 EB018907NIDDK NIH HHS R21 DK108277NIH Blueprint for Neuroscience Research U01-MH093765NIMH NIH HHS R21 MH106796NIMH NIH HHS R21 MH107456NIMH NIH HHS U01 MH093765NINDS NIH HHS R01 NS052585NINDS NIH HHS R01 NS070963NINDS NIH HHS R01 NS083534NINDS NIH HHS R21 NS072652NINDS NIH HHS U01 NS086625NINDS NIH HHS UH3 NS100605
6 · The paper itself

Abstract

Optical coherence tomography is an optical technique that uses backscattered light to highlight intrinsic structure, and when applied to brain tissue, it can resolve cortical layers and fiber bundles. Optical coherence microscopy (OCM) is higher resolution (i.e., 1.25 µm) and is capable of detecting neurons. In a previous report, we compared the correspondence of OCM acquired imaging of neurons with traditional Nissl stained histology in entorhinal cortex layer II. In the current method-oriented study, we aimed to determine the colocalization success rate between OCM and Nissl in other brain cortical areas with different laminar arrangements and cell packing density. We focused on two additional cortical areas: medial prefrontal, pre-genual Brodmann area (BA) 32 and lateral temporal BA 21. We present the data as colocalization matrices and as quantitative percentages. The overall average colocalization in OCM compared to Nissl was 67% for BA 32 (47% for Nissl colocalization) and 60% for BA 21 (52% for Nissl colocalization), but with a large variability across cases and layers. One source of variability and confounds could be ascribed to an obscuring effect from large and dense intracortical fiber bundles. Other technical challenges, including obstacles inherent to human brain tissue, are discussed. Despite limitations, OCM is a promising semi-high throughput tool for demonstrating detail at the neuronal level, and, with further development, has distinct potential for the automatic acquisition of large databases as are required for the human brain.

Indexed as

Nissl BodiesAdultAgedFemaleHumansMaleMicroscopyMiddle AgedNeuronsPredictive Value of TestsPrefrontal CortexReproducibility of ResultsStaining and LabelingTemporal LobeTomography, Optical CoherenceHuman brainIsocortexLimbicNeuronOptical imagingTissueValidation

Identifiers

PMID30328512
PMCPMC6369026

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