Evidence map›Paper›PMID 28394205›Full record

ArticleJournal of neurotrauma2017

A Three-Dimensional Computational Human Head Model That Captures Live Human Brain Dynamics.

Shailesh Ganpule, Nitin P Daphalapurkar, Kaliat T Ramesh, Andrew K Knutsen, Dzung L Pham, Philip V Bayly, Jerry L Prince

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.Journal of the mechanical behavior of biomedical materials · 2026
    Article
  5. Measurement of Residual Stress in the Brain.Journal of biomechanical engineering · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Data-driven Uncertainty Quantification in Computational Human Head Models.Computer methods in applied mechanics and engineering · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Shailesh Ganpule1 Hopkins Extreme Materials Institute, Johns Hopkins University , Baltimore, Maryland.
Nitin P Daphalapurkar1 Hopkins Extreme Materials Institute, Johns Hopkins University , Baltimore, Maryland.
Kaliat T Ramesh1 Hopkins Extreme Materials Institute, Johns Hopkins University , Baltimore, Maryland.
Andrew K Knutsen2 Center for Neuroscience and Regenerative Medicine , The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
Dzung L Pham2 Center for Neuroscience and Regenerative Medicine , The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
Philip V Bayly3 Department of Mechanical Engineering, Washington University in St. Louis , St. Louis, Missouri.
Jerry L Prince4 Department of Electrical and Computer Engineering, Johns Hopkins University , Baltimore, Maryland.

Funding

IN VIVO MEASUREMENT OF BRAIN BIOMECHANICSR01NS055951 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2007 to 2017
$3.9M
NINDS NIH HHS R01 NS055951
6 · The paper itself

Abstract

Diffuse axonal injury (DAI) is a debilitating consequence of traumatic brain injury (TBI) attributed to abnormal stretching of axons caused by blunt head trauma or acceleration of the head. We developed an anatomically accurate, subject-specific, three-dimensional (3D) computational model of the human brain, and used it to study the dynamic deformations in the substructures of the brain when the head is subjected to rotational accelerations. The computational head models use anatomy and morphology of the white matter fibers obtained using MRI. Subject-specific full-field shearing motions in live human brains obtained through a recently developed tagged MRI imaging technique are then used to validate the models by comparing the measured and predicted heterogeneous dynamic mechanical response of the brain. These results are used to elucidate the dynamics of local shearing deformations in the brain substructures caused by rotational acceleration of the head. Our work demonstrates that the rotational dynamics of the brain has a timescale of ∼100 ms as determined by the shearing wave speeds, and thus the injuries associated with rotational accelerations likely occur over these time scales. After subject-specific validation using the live human subject data, a representative subject-specific head model is used to simulate a real life scenario that resulted in a concussive injury. Results suggest that regions of the brain, in the form of a toroid, encompassing the white matter, the cortical gray matter, and outer parts of the limbic system have a higher susceptibility to injury under axial rotations of the head.

Indexed as

Models, BiologicalBrainDiffuse Axonal InjuryHeadHumansMagnetic Resonance ImagingRotationWhite Mattercomputational head modelDAIhuman brain deformation

Identifiers

PMID28394205
PMCPMC5510681

What OpenQuestion holds

Textmetadata
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.