Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading.

Anu Tripathi, Alison Brooks, Traci Snedden, Peter Ferrazzano, Christian Franck, Rika Wright Carlsen

Abstract read

In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anu TripathiDepartment of Engineering, Robert Morris University, Moon Township, PA, USA.

Alison BrooksDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA.

Traci SneddenCollege of Nursing, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Peter FerrazzanoWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.

Christian FranckDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.

Rika Wright CarlsenDepartment of Engineering, Robert Morris University, Moon Township, PA, USA. carlsen@rmu.edu.

Funding

Big 10 Athletic Media Revenue 136-AAI3375U.S. Office of Naval Research N00014-21-1-2044

6 · The paper itself

Abstract

Computational head models are essential tools for predicting the risk of mild traumatic brain injury (mTBI). However, computational models vary in the level of anatomical details, most notably the cortical folds. This study aims to determine the effect of modeling cortical folds on mTBI risk assessment. We compared gyrencephalic (with cortical folds) and lissencephalic (without cortical folds) finite element (FE) head models of 18 subjects aged 9-18 years, subjected to a rotational head acceleration of 10 krad/s

Indexed as

Brain InjuriesCerebral CortexModels, BiologicalAdolescentBiomechanical PhenomenaChildComputer SimulationFemaleFinite Element AnalysisHumansMaleModels, AnatomicRisk FactorsStress, MechanicalWeight-BearingCortical foldsFinite element head modelsMild traumatic brain injurySubject specific modeling

Identifiers

PMID42321586

DOI10.1007/s10237-026-02095-1

PMCPMC13282220

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LicenceCC BY

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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.