Evidence map›Paper›PMID 25716305›Full record

ReviewBiomechanics and modeling in mechanobiology2015

Mechanics of the brain: perspectives, challenges, and opportunities.

Alain Goriely, Marc G D Geers, Gerhard A Holzapfel, Jayaratnam Jayamohan, Antoine Jérusalem, Sivabal Sivaloganathan, Waney Squier, Johannes A W van Dommelen, Sarah Waters, Ellen Kuhl

Open access · hybridAbstract readReview
In one paragraph

Review in Biomechanics and modeling in mechanobiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed
28.2field-weighted citation impact, top 1% 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

117 citing papers in PubMed, 366 citations in OpenAlex.

  1. Dynamic image-informed selection of biomechanical tumor growth models.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Review
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  5. Gelatin Methacrylate Macroporous Cell Scaffold Fabrication via One-Pot Aqueous Two-Phase Separation.Journal of biomedical materials research. Part B, Applied biomaterials · 2025
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57 more citing papers are in PubMed but not listed here.

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 6 institutions in 5 countries.

Alain GorielyMathematical Institute, University of Oxford, Oxford, OX2 6GG, UK, Alain.Goriely@maths.ox.ac.uk.
Marc G D Geers
Gerhard A Holzapfel
Jayaratnam Jayamohan
Antoine Jérusalem
Sivabal Sivaloganathan
Waney Squier
Johannes A W van Dommelen
Sarah Waters
Ellen Kuhl
University of Oxford · GBEindhoven University of Technology · NLJohn Radcliffe Hospital · GBGraz University of Technology · ATStanford University · USUniversity of Waterloo · CA

Funding

Multi-Scale Laws of Myocardial Growth and RemodelingU01HL119578 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO, KASSAB, GHASSAN S · 2014 to 2018
$3.8M
European Research Council 306587NHLBI NIH HHS U01 HL119578
6 · The paper itself

Abstract

The human brain is the continuous subject of extensive investigation aimed at understanding its behavior and function. Despite a clear evidence that mechanical factors play an important role in regulating brain activity, current research efforts focus mainly on the biochemical or electrophysiological activity of the brain. Here, we show that classical mechanical concepts including deformations, stretch, strain, strain rate, pressure, and stress play a crucial role in modulating both brain form and brain function. This opinion piece synthesizes expertise in applied mathematics, solid and fluid mechanics, biomechanics, experimentation, material sciences, neuropathology, and neurosurgery to address today's open questions at the forefront of neuromechanics. We critically review the current literature and discuss challenges related to neurodevelopment, cerebral edema, lissencephaly, polymicrogyria, hydrocephaly, craniectomy, spinal cord injury, tumor growth, traumatic brain injury, and shaken baby syndrome. The multi-disciplinary analysis of these various phenomena and pathologies presents new opportunities and suggests that mechanical modeling is a central tool to bridge the scales by synthesizing information from the molecular via the cellular and tissue all the way to the organ level.

Indexed as

Mechanotransduction, CellularModels, NeurologicalNeuronsAnimalsBrainBrain DiseasesCompressive StrengthComputer SimulationElastic ModulusHumansIntracranial PressureStress, MechanicalTensile Strength

Identifiers

PMID25716305
PMCPMC4562999
OpenAlexW1994681610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.