Evidence map›Paper›PMID 33497773›Full record

ArticleNeuroImage2021

Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training.

Ilwoo Lyu, Shuxing Bao, Lingyan Hao, Jewelia Yao, Jacob A Miller, Willa Voorhies, Warren D Taylor, Silvia A Bunge, Kevin S Weiner, Bennett A Landman

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Anchoring Functional Connectivity to Individual Sulcal Morphology Yields Insights in a Pediatric Study of Reasoning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  7. Defining Overlooked Structures Reveals New Associations between the Cortex and Cognition in Aging and Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

10 authors at 4 institutions in 1 country.

Ilwoo LyuElectrical Engineering and Computer Science, Vanderbilt University, Nashville TN, 37235 USA. Electronic address: ilwoo.lyu@vanderbilt.edu.
Shuxing BaoElectrical Engineering and Computer Science, Vanderbilt University, Nashville TN, 37235 USA.
Lingyan HaoInstitute for Computational & Mathematical Engineering, Stanford University, Stanford, CA 94305, USA.
Jewelia YaoDepartment of Psychology, The University of California, Berkeley, CA 94720, USA.
Jacob A MillerHelen Wills Neuroscience Institute, The University of California, Berkeley, CA 94720, USA.
Willa VoorhiesDepartment of Psychology, The University of California, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, The University of California, Berkeley, CA 94720, USA.
Warren D TaylorPsychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37203 USA.
Silvia A BungeDepartment of Psychology, The University of California, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, The University of California, Berkeley, CA 94720, USA.
Kevin S WeinerDepartment of Psychology, The University of California, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, The University of California, Berkeley, CA 94720, USA.
Bennett A LandmanElectrical Engineering and Computer Science, Vanderbilt University, Nashville TN, 37235 USA.
University of California, Berkeley · USVanderbilt University · USStanford University · USVanderbilt University Medical Center · US

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Neuroscience Training Program at UC BerkeleyT32NS095939 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BATEUP, HELEN S. · 2016 to 2025
$6.3M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Neural Connectivity Affecting the Antidepressant Response: Testing a Lesion ModelR01MH102246 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2015 to 2019
$3.1M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
The role of prefrontal sulcal morphology and brain network architecture in cognitive developmentR21HD100858 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI BUNGE, SILVIA A., WEINER, KEVIN SEAN · 2020 to 2021
$375k
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NICHD NIH HHS R21 HD100858NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH102246NIMH NIH HHS U54 MH091657NINDS NIH HHS T32 NS095939
6 · The paper itself

Abstract

The inference of cortical sulcal labels often focuses on deep (primary and secondary) sulcal regions, whereas shallow (tertiary) sulcal regions are largely overlooked in the literature due to the scarcity of manual/well-defined annotations and their large neuroanatomical variability. In this paper, we present an automated framework for regional labeling of both primary/secondary and tertiary sulci of the dorsal portion of lateral prefrontal cortex (LPFC) using spherical convolutional neural networks. We propose two core components that enhance the inference of sulcal labels to overcome such large neuroanatomical variability: (1) surface data augmentation and (2) context-aware training. (1) To take into account neuroanatomical variability, we synthesize training data from the proposed feature space that embeds intermediate deformation trajectories of spherical data in a rigid to non-rigid fashion, which bridges an augmentation gap in conventional rotation data augmentation. (2) Moreover, we design a two-stage training process to improve labeling accuracy of tertiary sulci by informing the biological associations in neuroanatomy: inference of primary/secondary sulci and then their spatial likelihood to guide the definition of tertiary sulci. In the experiments, we evaluate our method on 13 deep and shallow sulci of human LPFC in two independent data sets with different age ranges: pediatric (N=60) and adult (N=36) cohorts. We compare the proposed method with a conventional multi-atlas approach and spherical convolutional neural networks without/with rotation data augmentation. In both cohorts, the proposed data augmentation improves labeling accuracy of deep and shallow sulci over the baselines, and the proposed context-aware training offers further improvement in the labeling of shallow sulci over the proposed data augmentation. We share our tools with the field and discuss applications of our results for understanding neuroanatomical-functional organization of LPFC and the rest of cortex (https://github.com/ilwoolyu/SphericalLabeling).

Indexed as

Data AnalysisAdolescentAdultChildConnectomeFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePrefrontal CortexYoung AdultContext encoderCortical surfaceFrontal cortexSpherical data augmentationSulcal labeling

Identifiers

PMID33497773
PMCPMC8366030
OpenAlexW3122081962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.