Evidence map›Paper›PMID 31377175›Full record

ArticleJournal of neuroscience methods2019

An evaluation of automated tracing for orbitofrontal cortex sulcogyral pattern typing.

William Snyder, Marisa Patti, Vanessa Troiani

Abstract readEvaluation Study
In one paragraph

Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. 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

3 authors.

William SnyderGeisinger-Bucknell Autism & Developmental Medicine Institute, Lewisburg, PA United States.
Marisa PattiGeisinger-Bucknell Autism & Developmental Medicine Institute, Lewisburg, PA United States.
Vanessa TroianiGeisinger-Bucknell Autism & Developmental Medicine Institute, Lewisburg, PA United States. Electronic address: vtroiani@geisinger.edu.

Funding

Supplemental Application for Clinical and Genetic Risk Profile of Opioid Use DisorderR01DA044015 · NIDA · GEISINGER CLINIC · PI BERRETTINI, WADE H, ROBISHAW, JANET D · 2017 to 2021
$4.5M
NIDA NIH HHS R01 DA044015
6 · The paper itself

Abstract

backgroundCharacterization of stereotyped orbitofrontal cortex (OFC) sulcogyral patterns formed by the medial and lateral orbitofrontal sulci (MOS and LOS) can be used to characterize individual variability; however, in practice, issues exist for reliability and reproducibility of anatomical classifications, as current methods rely on manual tracing. NEW

methodWe assessed whether an automated tracing procedure would be useful for characterizing OFC sulcogyral patterns. 100 subjects from a published collection of manual OFC tracings and characterizations of patients with bipolar disorder, schizophrenia, and typical controls were used to evaluate an automated tracing procedure implemented using the BrainVISA Morphologist Pipeline.

resultsAutomated tracings of caudal and rostral segments of the medial (MOSc/MOSr) and lateral (LOSc/LOSr) orbitofrontal sulci, as well as the intermediate (IOS) and transverse orbitofrontal sulci (TOS) were found to accurately identify OFC sulci, accurately portray sulci continuity, and reliably inform manual sulcogyral pattern characterization. COMPARISON WITH EXISTING

methodAutomated tracings produced visibly similar tracings of OFC sulci and removed subjective influence from locating sulci. The semi-automated pipeline of automated tracing and manual sulcogyral pattern characterization can eliminate the need for direct input during the most time-consuming process of the manual pipeline.

conclusionsThe results suggest that automated OFC sulci tracing methods using BrainVISA Morphologist are feasible and useful in a semi-automated pipeline to characterize OFC sulcogyral patterns. Automated OFC sulci tracing methods will improve reliability and reproducibility of sulcogyral characterizations and can allow for characterizations of sulcal patterns types in larger sample sizes, previously unattainable using traditional manual tracing procedures.

Indexed as

AdultHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingNeuroimagingPrefrontal CortexReproducibility of ResultsYoung AdultAutomationOrbitofrontal cortexSulcogyral pattern

Identifiers

PMID31377175
PMCPMC8050840

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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.